1 00:00:03,240 --> 00:00:08,639 Speaker 1: This is Masters in Business with Barry Ridholts on Bloomberg Radio. Okay, 2 00:00:08,680 --> 00:00:12,080 Speaker 1: this week on our podcast, we have UM one of 3 00:00:12,080 --> 00:00:15,600 Speaker 1: our first repeat guests. His name is Dave Rosenberg, better 4 00:00:15,640 --> 00:00:18,279 Speaker 1: known as Rosie. I know him from back in the 5 00:00:18,360 --> 00:00:21,880 Speaker 1: days when he was Merrill Lynch's chief economist and a 6 00:00:22,040 --> 00:00:26,000 Speaker 1: raging bear a couple of years early, but ultimately proven 7 00:00:26,040 --> 00:00:28,840 Speaker 1: to be right. UM. One of the things I found 8 00:00:29,120 --> 00:00:34,840 Speaker 1: fascinating about Dave is that in um Or or earlier, 9 00:00:34,880 --> 00:00:39,120 Speaker 1: he flipped to the bullish side after having been somewhat 10 00:00:39,159 --> 00:00:42,960 Speaker 1: cautious coming out of the UH financial crisis, and people 11 00:00:43,040 --> 00:00:46,200 Speaker 1: kicked and screamed, Dave the bear, how can you go bullish? 12 00:00:46,360 --> 00:00:50,239 Speaker 1: And he said, the data proved it, so I have 13 00:00:50,360 --> 00:00:53,639 Speaker 1: to go bullish. So I've always respected that, Hey, this 14 00:00:53,680 --> 00:00:55,840 Speaker 1: position is wrong and I can't stay this way. I'm 15 00:00:55,840 --> 00:00:58,720 Speaker 1: gonna reverse myself. Not a lot of people on Wall 16 00:00:58,760 --> 00:01:02,320 Speaker 1: Street UM do that very comfortably. The other reason I 17 00:01:02,360 --> 00:01:05,320 Speaker 1: wanted to bring Dave back was we both presented at 18 00:01:05,319 --> 00:01:08,760 Speaker 1: a conference this weekend and I saw him on a panel. 19 00:01:08,880 --> 00:01:11,039 Speaker 1: I mean, we hung out and chatted a bit, but 20 00:01:11,120 --> 00:01:13,720 Speaker 1: I saw him on a panel with three other people 21 00:01:14,240 --> 00:01:16,840 Speaker 1: and he hinted at some of his views on the 22 00:01:16,840 --> 00:01:20,400 Speaker 1: FED and the economy and non farm payrolls and inflation 23 00:01:20,480 --> 00:01:23,720 Speaker 1: and and what we're looking at in the markets. And 24 00:01:23,840 --> 00:01:26,080 Speaker 1: it was really just a taste, and I wanted to 25 00:01:26,120 --> 00:01:28,360 Speaker 1: sit down and have the full meal. For those of 26 00:01:28,400 --> 00:01:31,880 Speaker 1: you who are interested in economic data, I don't even 27 00:01:31,920 --> 00:01:34,120 Speaker 1: know how else to describe this. Davi is an idiot 28 00:01:34,160 --> 00:01:37,640 Speaker 1: savant with data in a way that few economists can. 29 00:01:37,680 --> 00:01:42,080 Speaker 1: He has an encyclopedic knowledge of how all these different 30 00:01:42,080 --> 00:01:47,280 Speaker 1: moving parts interact. We didn't really talk about um random dates, 31 00:01:47,360 --> 00:01:49,520 Speaker 1: but we've had dinner in the past where I said, 32 00:01:49,760 --> 00:01:52,480 Speaker 1: you know, February two thousand and three, He's like, oh yeah, 33 00:01:52,520 --> 00:01:55,120 Speaker 1: non farm payroll was a fourteen thousand that month. Not 34 00:01:55,240 --> 00:01:59,000 Speaker 1: a great month. The guy is a walking encyclopedia and 35 00:01:59,200 --> 00:02:02,040 Speaker 1: understands how to put it into context and what it 36 00:02:02,120 --> 00:02:06,920 Speaker 1: means to both the economy and the stock market. If 37 00:02:06,960 --> 00:02:10,280 Speaker 1: you like economics, if you like that sort of data analysis, 38 00:02:10,639 --> 00:02:13,040 Speaker 1: I think you're gonna find this to be a fascinating, 39 00:02:13,360 --> 00:02:18,080 Speaker 1: albeit wonky conversation. Um So, without any further ado, here 40 00:02:18,120 --> 00:02:24,960 Speaker 1: is my chat with David Rosenberg. This is Masters in 41 00:02:25,000 --> 00:02:29,480 Speaker 1: Business with Barry Ridholts on Bloomberg Radio. My guest this 42 00:02:29,520 --> 00:02:32,680 Speaker 1: week David Rosenberg. You might know him from when he 43 00:02:32,720 --> 00:02:36,519 Speaker 1: was chief economist of Merrill Lynch. He's currently chief market 44 00:02:36,560 --> 00:02:40,680 Speaker 1: strategist and chief economist at Gluston Chef out of Toronto, 45 00:02:41,280 --> 00:02:44,880 Speaker 1: New York. Dave, Welcome to Bloomberg. Good to be back, Barry. 46 00:02:45,200 --> 00:02:48,000 Speaker 1: So let me tell you why I'm having Dave on 47 00:02:48,160 --> 00:02:51,160 Speaker 1: for a second time. You are one of the few 48 00:02:51,320 --> 00:02:54,880 Speaker 1: repeat guests. The previous repeat guest was some guy named 49 00:02:55,400 --> 00:02:58,359 Speaker 1: Arthur Levitt who was chairman of the SEC. But other 50 00:02:58,440 --> 00:03:01,560 Speaker 1: than him, you're the first repeat guest. I think I 51 00:03:01,560 --> 00:03:04,520 Speaker 1: think I was your first guest. What you almost two 52 00:03:04,560 --> 00:03:07,160 Speaker 1: years ago? You were one of, if not the very 53 00:03:07,240 --> 00:03:09,799 Speaker 1: first guests that we recorded with. We had done a 54 00:03:09,840 --> 00:03:11,880 Speaker 1: few dry runs and then we brought you in, and 55 00:03:11,919 --> 00:03:14,280 Speaker 1: I think you were the first guest that we actually 56 00:03:14,320 --> 00:03:17,919 Speaker 1: recorded and used the podcast of I think I heard 57 00:03:17,919 --> 00:03:21,720 Speaker 1: you tell somebody, uh, Rosie's my guinea pig. That's right, 58 00:03:21,800 --> 00:03:24,639 Speaker 1: That's exactly right. So um, let me tell you why 59 00:03:24,680 --> 00:03:26,920 Speaker 1: I brought you back, Not to be a guinea pig. 60 00:03:27,680 --> 00:03:30,040 Speaker 1: Dave and I were at a conference this past weekend 61 00:03:30,320 --> 00:03:34,320 Speaker 1: in Miami, Florida. I gave a presentation on risk. Dave 62 00:03:34,360 --> 00:03:38,680 Speaker 1: gave a presentation, as he usually does, on the state 63 00:03:38,720 --> 00:03:42,240 Speaker 1: of the economy, and it's a holistic every data point 64 00:03:42,320 --> 00:03:46,320 Speaker 1: you could think of put into really interesting context. And 65 00:03:46,760 --> 00:03:50,200 Speaker 1: when I sat through a panel that Dave was on 66 00:03:50,320 --> 00:03:53,720 Speaker 1: with four people, my thoughts were, I want to hear 67 00:03:53,800 --> 00:03:56,440 Speaker 1: more of what Dave has to say about where we 68 00:03:56,480 --> 00:03:58,440 Speaker 1: are in the state of the economy. Talk about non 69 00:03:58,480 --> 00:04:01,360 Speaker 1: fund payroll talk about the FED, talk about what this 70 00:04:01,440 --> 00:04:05,440 Speaker 1: means for investors, interest rates, talk about the economic profession. 71 00:04:05,480 --> 00:04:08,000 Speaker 1: And I didn't get enough Dave, So I said, Dave, 72 00:04:08,040 --> 00:04:09,440 Speaker 1: why don't you come on the show this week and 73 00:04:09,440 --> 00:04:13,559 Speaker 1: we'll spend some time. This is really the most fascinating 74 00:04:13,600 --> 00:04:17,159 Speaker 1: time to be an economist. Um following last week's non 75 00:04:17,240 --> 00:04:22,239 Speaker 1: farm payrolls and all the angst, uh storm and drang 76 00:04:22,480 --> 00:04:25,479 Speaker 1: over the FED, so let's let's have at it. Let's 77 00:04:25,560 --> 00:04:28,960 Speaker 1: jump right into this. Last week we saw a huge 78 00:04:29,040 --> 00:04:34,120 Speaker 1: non farm payrolls report, two one new jobs created, unemployment 79 00:04:34,200 --> 00:04:38,799 Speaker 1: rate effectively cut in half from the financial crisis peak. 80 00:04:39,520 --> 00:04:43,040 Speaker 1: What does this mean for global economy? What does this 81 00:04:43,080 --> 00:04:46,200 Speaker 1: mean for the Fed? Let's let's start out simple and 82 00:04:46,279 --> 00:04:49,960 Speaker 1: say What does this new payroll report mean for the 83 00:04:50,040 --> 00:04:53,720 Speaker 1: US economy? Well, I think that it needs a little 84 00:04:53,720 --> 00:04:58,520 Speaker 1: bit of context. Fire away. Well, if you remember, before 85 00:04:58,560 --> 00:05:02,120 Speaker 1: we got the October payroll number, just over a month ago, 86 00:05:02,400 --> 00:05:05,600 Speaker 1: we also got the September number, which at that point 87 00:05:05,680 --> 00:05:11,919 Speaker 1: was putred media age growth, apparently validating the FEDS no 88 00:05:12,040 --> 00:05:15,320 Speaker 1: move in September. And actually I started hearing people talking 89 00:05:15,360 --> 00:05:18,160 Speaker 1: about the prospect of a recession. Now let me let 90 00:05:18,160 --> 00:05:21,040 Speaker 1: me interrupt you right there, because I know I've been 91 00:05:21,040 --> 00:05:24,679 Speaker 1: reading Breakfast with Dave for a million years. That's Dave's 92 00:05:24,880 --> 00:05:28,279 Speaker 1: daily Market and Economic When I was writing it for 93 00:05:28,320 --> 00:05:32,400 Speaker 1: t Rex, you made that's exactly right, the the usual 94 00:05:32,520 --> 00:05:35,839 Speaker 1: inditia of recession that you track. What do you see 95 00:05:35,839 --> 00:05:39,160 Speaker 1: along those lines? Okay, well you know we'll well, we'll 96 00:05:39,160 --> 00:05:41,839 Speaker 1: get to the recession indicators. I mean we can we 97 00:05:41,920 --> 00:05:46,280 Speaker 1: can debate whether the economy slows down or speeds up 98 00:05:46,320 --> 00:05:50,400 Speaker 1: next year. I think a recession is probably as close 99 00:05:50,440 --> 00:05:54,240 Speaker 1: to zero percent odds as anything in this world. Nothing eminent, 100 00:05:54,360 --> 00:05:56,640 Speaker 1: not seeing any sign, No, not not not at all. 101 00:05:56,720 --> 00:05:58,680 Speaker 1: But the point I was making when I said about 102 00:05:58,720 --> 00:06:02,679 Speaker 1: the perspective of the contest next of the October payroll number, 103 00:06:02,760 --> 00:06:06,320 Speaker 1: which was actually one of the best employment numbers of 104 00:06:06,360 --> 00:06:08,960 Speaker 1: the cycle. Was you have to take a look at 105 00:06:09,000 --> 00:06:13,640 Speaker 1: in the context of what we saw in September UH, 106 00:06:13,800 --> 00:06:16,159 Speaker 1: and the truth is usual somewhere in the middle. I 107 00:06:16,200 --> 00:06:21,760 Speaker 1: think that the the let's finish the angst after September 108 00:06:21,839 --> 00:06:23,880 Speaker 1: number was overdone. I think maybe a bit of the 109 00:06:23,920 --> 00:06:28,640 Speaker 1: euphoria after the October number could be a little overdone. 110 00:06:28,680 --> 00:06:32,400 Speaker 1: I think that UM, it just validates the view that 111 00:06:32,480 --> 00:06:36,680 Speaker 1: the U. S economy is doing okay, maybe a little 112 00:06:36,680 --> 00:06:40,039 Speaker 1: bit better than okay. To me, what really stood out 113 00:06:40,080 --> 00:06:45,000 Speaker 1: was this UH the view that this combination of a 114 00:06:45,040 --> 00:06:48,840 Speaker 1: super strong US dollar UH and the weakness that we're 115 00:06:48,839 --> 00:06:52,760 Speaker 1: seeing in various parts of the world, particularly emerging markets, 116 00:06:52,920 --> 00:06:57,120 Speaker 1: was going to come back and push the manufacturing sector 117 00:06:57,160 --> 00:06:59,919 Speaker 1: into a downturn that would then cause a generalized malaise 118 00:07:00,040 --> 00:07:03,159 Speaker 1: in the economy. Well, the reality is that that view 119 00:07:03,600 --> 00:07:07,159 Speaker 1: has so far been proven to have been wrong, because 120 00:07:07,680 --> 00:07:10,800 Speaker 1: we didn't have any manufacturing jobs created last month. And 121 00:07:10,880 --> 00:07:13,880 Speaker 1: yet somehow, and yet, somehow, an economy that is actually 122 00:07:14,000 --> 00:07:16,960 Speaker 1: driven in part by construction, you can say, in part 123 00:07:17,040 --> 00:07:20,880 Speaker 1: by government. Certainly it's a service sector economy outside of manufacturing, 124 00:07:21,400 --> 00:07:25,440 Speaker 1: still generated, as you said, bury two net new jobs. 125 00:07:25,480 --> 00:07:28,680 Speaker 1: Then there's been all the narrative. Well, I would say 126 00:07:28,760 --> 00:07:32,280 Speaker 1: for the past year, UH that the downdraft in oil 127 00:07:32,440 --> 00:07:35,360 Speaker 1: was a net negative for the US economy, that it 128 00:07:35,440 --> 00:07:39,520 Speaker 1: was going to destroy the Montanas, the Dakota's Texas, and 129 00:07:39,600 --> 00:07:42,840 Speaker 1: to spring down the US economy because apparently over a 130 00:07:42,840 --> 00:07:45,600 Speaker 1: five year period all the jobs that were created was 131 00:07:45,640 --> 00:07:48,760 Speaker 1: in shale. Well, once again, we had a month where 132 00:07:48,960 --> 00:07:52,320 Speaker 1: no growth in manufacturing. UH, the resource sector actually had 133 00:07:52,360 --> 00:07:56,720 Speaker 1: a fractually negative job market performance, and the economy, what 134 00:07:56,800 --> 00:08:00,480 Speaker 1: do you know, generated two seventy one thousand net new jobs. 135 00:08:00,480 --> 00:08:03,640 Speaker 1: So I think what's happening is that the fallacy UH, 136 00:08:03,680 --> 00:08:07,280 Speaker 1: that the strong dollar and the weaker mergy markets we're 137 00:08:07,280 --> 00:08:09,120 Speaker 1: going to bring the U s economy to its knees. 138 00:08:10,080 --> 00:08:14,320 Speaker 1: Right now, we're putting the rat in the laboratory. That 139 00:08:14,400 --> 00:08:18,400 Speaker 1: thesis has been proven wrong. I'm quite actually content with that. 140 00:08:18,800 --> 00:08:22,080 Speaker 1: And the view that the shale UH contraction was going 141 00:08:22,120 --> 00:08:26,160 Speaker 1: to create a major domino effect through the economy has 142 00:08:26,160 --> 00:08:28,200 Speaker 1: been proven wrong as well. So in the last thirty 143 00:08:28,240 --> 00:08:31,480 Speaker 1: seconds we have in this segment, you you alluded to 144 00:08:31,560 --> 00:08:33,959 Speaker 1: something earlier, and I want to give you a chance 145 00:08:34,000 --> 00:08:38,679 Speaker 1: to expound on it. Uh, employment data, it's a fairly 146 00:08:38,760 --> 00:08:43,160 Speaker 1: noisy series, isn't it. Well, you know, it's interesting. The 147 00:08:43,160 --> 00:08:46,400 Speaker 1: household survey is certainly volatile. The payroll survey tends to 148 00:08:46,480 --> 00:08:48,679 Speaker 1: be more stable, which is why the markets have already 149 00:08:48,679 --> 00:08:50,360 Speaker 1: paid more attention to it. But it has been a 150 00:08:50,400 --> 00:08:53,640 Speaker 1: little bit more jumpy, which is why always any economists 151 00:08:53,640 --> 00:08:56,160 Speaker 1: will tell you focus on the three months, six month, 152 00:08:56,200 --> 00:08:58,640 Speaker 1: even the twelve month. Friend, the data telling you the 153 00:08:58,640 --> 00:09:01,839 Speaker 1: economy is in decent shape. Full stop. I'm Barry rid Hult. 154 00:09:01,880 --> 00:09:05,120 Speaker 1: You're listening to Master's Business on Bloomberg Radio. My guests 155 00:09:05,160 --> 00:09:08,800 Speaker 1: this week David Rosenberg. He is the chief economist and 156 00:09:09,000 --> 00:09:13,960 Speaker 1: strategist at Gluskin Chef. We were talking earlier about the 157 00:09:14,240 --> 00:09:18,280 Speaker 1: non farm payrolls data and how sometimes that series can 158 00:09:18,360 --> 00:09:23,400 Speaker 1: be a little bit noisy, especially the household survey. What 159 00:09:23,480 --> 00:09:26,800 Speaker 1: does that mean for the Fed? That is quote unquote 160 00:09:27,040 --> 00:09:29,800 Speaker 1: data driven. I think the Fed has already laid down 161 00:09:29,800 --> 00:09:32,960 Speaker 1: its cards and even the doves are running for cover. 162 00:09:33,200 --> 00:09:37,360 Speaker 1: So um, my sense now was that the Fed took 163 00:09:37,360 --> 00:09:42,280 Speaker 1: a pass in September primarily because of the global turmoil. 164 00:09:42,559 --> 00:09:45,560 Speaker 1: And uh, why is a cute market. Why is that? 165 00:09:45,640 --> 00:09:49,320 Speaker 1: Why do we think that emerging market downtown in the 166 00:09:49,360 --> 00:09:52,400 Speaker 1: Shanghai Index? Why should that impact the Fed? No? No, no, 167 00:09:52,400 --> 00:09:55,240 Speaker 1: Well it wasn't just the Shanghai Index at that point. 168 00:09:55,280 --> 00:09:58,120 Speaker 1: I mean you had a situation where credit spreads in 169 00:09:58,160 --> 00:10:01,679 Speaker 1: the US for widening dramatically. Uh. You had a situation 170 00:10:02,040 --> 00:10:04,800 Speaker 1: where over half the stock market was down at least 171 00:10:05,440 --> 00:10:08,040 Speaker 1: from the high. So basically what had happened at that 172 00:10:08,080 --> 00:10:12,079 Speaker 1: point was we had a major tightening in domestic financial conditions, 173 00:10:12,120 --> 00:10:14,440 Speaker 1: and so the FED went to the sidelines. You know, look, 174 00:10:14,720 --> 00:10:17,120 Speaker 1: reality is this. Uh. You know, we tend to get 175 00:10:17,120 --> 00:10:20,480 Speaker 1: a little myopic in the marketplace. I'm a market participant. Uh. 176 00:10:20,520 --> 00:10:22,839 Speaker 1: They do have eight meetings a year. So they took 177 00:10:22,880 --> 00:10:26,040 Speaker 1: a pass um the economy is in fine shape. The 178 00:10:26,040 --> 00:10:29,880 Speaker 1: bottom line here is the desperate desire by the FIT 179 00:10:29,960 --> 00:10:31,959 Speaker 1: to move off of zero. That's what it is all about. 180 00:10:32,320 --> 00:10:35,880 Speaker 1: Move off of zero normalizing. Just as we don't need 181 00:10:35,960 --> 00:10:39,480 Speaker 1: QUI anymore, they ended que and once again, let's attack 182 00:10:39,520 --> 00:10:41,440 Speaker 1: the narrative. The narrative was that as soon as they 183 00:10:41,520 --> 00:10:45,120 Speaker 1: ended QUI, which was October of last year, the economy 184 00:10:45,280 --> 00:10:48,040 Speaker 1: was going to crumble, go down to it sneeze, they 185 00:10:48,120 --> 00:10:51,679 Speaker 1: ended QUWI. No such thing happened round And if you 186 00:10:51,720 --> 00:10:53,440 Speaker 1: go back to and Yellen was telling us what the 187 00:10:53,440 --> 00:10:56,120 Speaker 1: time lag was between the end of QUEI and the 188 00:10:56,160 --> 00:11:00,160 Speaker 1: first rate hike, she inadvertly had mentioned six months. Well, 189 00:11:00,160 --> 00:11:02,520 Speaker 1: my good friend Barry, it's already been more than a year, 190 00:11:02,920 --> 00:11:04,719 Speaker 1: so you know what, it's high time to move off 191 00:11:04,760 --> 00:11:06,880 Speaker 1: of zero. And at the same time, when it comes 192 00:11:06,880 --> 00:11:09,079 Speaker 1: to December sixteenth, and they probably will at this point 193 00:11:09,200 --> 00:11:12,120 Speaker 1: raise rates. It's what they say that's gonna matter, and 194 00:11:12,160 --> 00:11:16,120 Speaker 1: they will continue to reaffirm the view that this is 195 00:11:16,200 --> 00:11:19,599 Speaker 1: not going to be your big brother's, your father's, or 196 00:11:19,640 --> 00:11:22,480 Speaker 1: your grandfather's tiding cycle. It's going to be truncated. They 197 00:11:22,480 --> 00:11:25,000 Speaker 1: could easily signal that not that they're one and done, 198 00:11:25,400 --> 00:11:27,560 Speaker 1: but they're gonna move and then pause an assess so 199 00:11:27,600 --> 00:11:29,360 Speaker 1: that this is not going to be the fed of old. 200 00:11:29,400 --> 00:11:32,520 Speaker 1: When it became an exercise of eating potato chips, you 201 00:11:32,600 --> 00:11:35,480 Speaker 1: just can't stop. At one, two thousand five, two thousand six, 202 00:11:35,520 --> 00:11:38,480 Speaker 1: two thousand seven. We saw once the tightening cycle began, 203 00:11:38,920 --> 00:11:41,560 Speaker 1: it was pretty much straight up right into the teeth 204 00:11:41,600 --> 00:11:46,520 Speaker 1: of a recession. Same thing. This is a very different cycle. 205 00:11:46,679 --> 00:11:49,840 Speaker 1: Low and slow. Is that the big difference, Barry. You 206 00:11:49,920 --> 00:11:52,360 Speaker 1: go back to the uh. You know, you go back 207 00:11:52,400 --> 00:11:57,319 Speaker 1: to look at you did have a big inflation problem 208 00:11:57,360 --> 00:12:00,280 Speaker 1: that had to be circumvented. You go out to the 209 00:12:00,320 --> 00:12:02,439 Speaker 1: late ninety nineties, we had a tech bubble that the 210 00:12:02,480 --> 00:12:04,679 Speaker 1: FED had to get ahead of. Um. You go back 211 00:12:04,679 --> 00:12:06,560 Speaker 1: to that period, You're quite right to look two thousand 212 00:12:06,640 --> 00:12:08,520 Speaker 1: and four, they start to raise rates. They went from 213 00:12:08,600 --> 00:12:11,160 Speaker 1: one percent to five and a quarter in two years. 214 00:12:11,200 --> 00:12:15,160 Speaker 1: And not the most ardent hawk or bond bear saw 215 00:12:15,240 --> 00:12:18,320 Speaker 1: that coming. Um. But the FED had a big bubble 216 00:12:18,320 --> 00:12:20,800 Speaker 1: on its hands. It was the housing incredib bubble. I'm 217 00:12:20,840 --> 00:12:23,040 Speaker 1: looking around trying to find where the bubble is. There 218 00:12:23,080 --> 00:12:25,200 Speaker 1: might be little pockets of bubbles here and there, but 219 00:12:25,320 --> 00:12:29,400 Speaker 1: nothing and certainly no inflation bubble just yet to cause 220 00:12:29,440 --> 00:12:32,400 Speaker 1: the FAT to have to raise rates at every single meeting. 221 00:12:32,559 --> 00:12:35,400 Speaker 1: So my sense is that they raise they reaffirmed this 222 00:12:35,480 --> 00:12:39,520 Speaker 1: notion lore for longer. Uh and um. And we'll take 223 00:12:39,520 --> 00:12:41,480 Speaker 1: it from there. But what I will say is that 224 00:12:41,559 --> 00:12:45,320 Speaker 1: comes back to your question about the recession. Recessions have 225 00:12:45,480 --> 00:12:49,640 Speaker 1: never started after the first rate hike. The recession start 226 00:12:49,920 --> 00:12:52,560 Speaker 1: after the last rate hike. So if you're worried about 227 00:12:52,600 --> 00:12:55,880 Speaker 1: the rate hike December six and sure there'll be more volatility. 228 00:12:55,920 --> 00:12:58,240 Speaker 1: We're gonna stress test liquidity in the bond market, no 229 00:12:58,360 --> 00:12:59,880 Speaker 1: question about that. You might want to have a little 230 00:12:59,880 --> 00:13:03,360 Speaker 1: more cash on hand going in next year for optionality purposes. 231 00:13:03,360 --> 00:13:04,880 Speaker 1: It doesn't mean that it's the end of the cycle. 232 00:13:05,280 --> 00:13:08,480 Speaker 1: The cycle ends every time after the last rate hike 233 00:13:08,520 --> 00:13:11,280 Speaker 1: because it's the last rate hike that ultimately brings the 234 00:13:11,280 --> 00:13:14,360 Speaker 1: economy to its knees. So if that's your view, then 235 00:13:14,440 --> 00:13:17,280 Speaker 1: you have to believe that the first rate hike is 236 00:13:17,320 --> 00:13:18,839 Speaker 1: going to be the last rate hike. And I don't 237 00:13:18,840 --> 00:13:20,800 Speaker 1: believe that for a second. So let's take the other 238 00:13:20,840 --> 00:13:22,920 Speaker 1: side of the trade. What happens if they don't hike 239 00:13:22,960 --> 00:13:26,120 Speaker 1: in December. What sort of a signal does that send? 240 00:13:26,120 --> 00:13:27,959 Speaker 1: What are the implications? Well, if they don't hike, and 241 00:13:28,040 --> 00:13:30,680 Speaker 1: if they don't hike on December sixteenth, I'm nervous, and 242 00:13:30,720 --> 00:13:32,360 Speaker 1: I'll tell you why. And it's not because of what 243 00:13:32,400 --> 00:13:35,000 Speaker 1: happens on December sixteenth. That's that's something happened and the 244 00:13:35,160 --> 00:13:37,800 Speaker 1: lead up to December sixte that caused them not to 245 00:13:37,920 --> 00:13:42,400 Speaker 1: raise rates. So basically, the picture you're painting Barry is 246 00:13:42,480 --> 00:13:45,640 Speaker 1: that U is a repeat of a cosm to go 247 00:13:45,720 --> 00:13:48,680 Speaker 1: on the sidelines in September, which is that we have 248 00:13:48,800 --> 00:13:52,000 Speaker 1: once again a major tightening of financial conditions. So stock 249 00:13:52,040 --> 00:13:57,040 Speaker 1: market correction, widening spreads, or something nefarious is happening because 250 00:13:57,200 --> 00:13:59,880 Speaker 1: they are right now once again setting the table for us. 251 00:14:00,320 --> 00:14:05,160 Speaker 1: If they don't follow through, they suffer a credibility problem. Uh. 252 00:14:05,200 --> 00:14:08,160 Speaker 1: If they don't follow through borrowing a credibility problem, it's 253 00:14:08,160 --> 00:14:11,079 Speaker 1: because something else happened along the way that if your 254 00:14:11,120 --> 00:14:12,840 Speaker 1: long risk is not going to make it too happy, 255 00:14:12,880 --> 00:14:14,640 Speaker 1: it's gonna make people think, what do they know? That? 256 00:14:14,679 --> 00:14:16,360 Speaker 1: What are they seeing? Then I'm not seeing? Well, no, 257 00:14:16,440 --> 00:14:18,120 Speaker 1: I don't well, you know. The thing is that that's 258 00:14:18,160 --> 00:14:20,320 Speaker 1: what people were saying in September. But the reality is 259 00:14:20,360 --> 00:14:22,040 Speaker 1: that it's not what do they see, We don't know. 260 00:14:22,360 --> 00:14:24,480 Speaker 1: We know what we know. What is that half the 261 00:14:24,480 --> 00:14:28,080 Speaker 1: stock market was down and credit spreads are widening inexorably. 262 00:14:28,640 --> 00:14:30,800 Speaker 1: So the fact is the fact is that some people 263 00:14:30,840 --> 00:14:32,520 Speaker 1: thought that the febs just going to look through that 264 00:14:32,520 --> 00:14:35,520 Speaker 1: tightening of financial conditions and still raise rates. But the 265 00:14:35,560 --> 00:14:38,000 Speaker 1: reality is that they didn't look through that tightening of 266 00:14:38,000 --> 00:14:41,120 Speaker 1: financial conditions. They weren't sure if things are going to 267 00:14:41,160 --> 00:14:45,080 Speaker 1: subside or not. Well, they have subsided. Now the prospect 268 00:14:45,160 --> 00:14:47,120 Speaker 1: of the first rate hike in nine years is on 269 00:14:47,160 --> 00:14:49,960 Speaker 1: the table if they don't move at this stage. Look, 270 00:14:50,000 --> 00:14:55,560 Speaker 1: they basically set the bar very low. It's not as 271 00:14:55,600 --> 00:14:58,440 Speaker 1: if things have to get better. They just don't have 272 00:14:58,480 --> 00:15:01,400 Speaker 1: to get worse. And they are going to race rates. 273 00:15:01,400 --> 00:15:03,680 Speaker 1: But if we haven't another going to go, they're going 274 00:15:03,720 --> 00:15:07,120 Speaker 1: to go to fifty. Because so we're really well, let's 275 00:15:07,400 --> 00:15:10,120 Speaker 1: look they people are talking they can go in eighth. 276 00:15:10,320 --> 00:15:14,280 Speaker 1: I mean, we're we're in arrange. Look there's other mechanisms also, 277 00:15:14,360 --> 00:15:17,000 Speaker 1: what do they do with the U uh, with the 278 00:15:17,000 --> 00:15:19,800 Speaker 1: interest rate in excess reserves? Uh, you know, we're we're 279 00:15:19,800 --> 00:15:22,000 Speaker 1: in a whole new realm of healthy operating monetary policy. 280 00:15:22,040 --> 00:15:24,600 Speaker 1: But my sense is that if we're talking about my 281 00:15:24,720 --> 00:15:26,920 Speaker 1: view on what it will mean for basis point impact, 282 00:15:27,040 --> 00:15:29,920 Speaker 1: it's probably going to be twenty five basis points, all right. 283 00:15:30,080 --> 00:15:33,240 Speaker 1: And we didn't really get to talk about earnings yet. 284 00:15:33,520 --> 00:15:37,960 Speaker 1: Since the financial crisis lows, we've seen earnings rise over 285 00:15:38,040 --> 00:15:41,160 Speaker 1: a hundred percent from their bottom and stocks have risen 286 00:15:41,240 --> 00:15:45,560 Speaker 1: over two You mentioned energy before, what are you looking 287 00:15:45,600 --> 00:15:49,680 Speaker 1: at in terms of this so called earnings recession driven 288 00:15:49,720 --> 00:15:54,440 Speaker 1: by energy verry, you have earnings contractions in about half 289 00:15:54,520 --> 00:15:59,000 Speaker 1: the market, earnings positive and half the market. And it's 290 00:15:59,000 --> 00:16:04,600 Speaker 1: been a very usyncratic stock specific um sector selection market 291 00:16:04,640 --> 00:16:06,680 Speaker 1: this year. It's not been a market that you buy 292 00:16:06,720 --> 00:16:10,160 Speaker 1: the index. The bottom line is at stay away from 293 00:16:10,200 --> 00:16:13,680 Speaker 1: the areas UH that have excess valuation, that are hits 294 00:16:13,760 --> 00:16:16,280 Speaker 1: to the foreign economy, that are vulnerable to the US dollar. 295 00:16:16,600 --> 00:16:18,160 Speaker 1: The bottom line is that for all the talk of 296 00:16:18,160 --> 00:16:20,440 Speaker 1: what a bad market it's been this year, in earnings procession, 297 00:16:20,880 --> 00:16:24,520 Speaker 1: the best performing sector is consumer discretionary over ten percent 298 00:16:24,880 --> 00:16:28,000 Speaker 1: capital appreciation this year over ten percent earnings growth. Now 299 00:16:28,080 --> 00:16:31,680 Speaker 1: understand the consumer discretionary might be between ten and of 300 00:16:31,680 --> 00:16:35,720 Speaker 1: the SMP market cap, but it represents seventy GDP. How 301 00:16:35,760 --> 00:16:40,680 Speaker 1: bad can things possibly be when consumer cyclicals are seeing 302 00:16:40,720 --> 00:16:44,960 Speaker 1: ten percent plus earnings growth and ten percent price appreciation 303 00:16:45,040 --> 00:16:47,400 Speaker 1: all the same year. I'm Barry rid Help. You're listening 304 00:16:47,440 --> 00:16:50,640 Speaker 1: to Master's Business on Bloomberg Radio. My guests this week 305 00:16:50,880 --> 00:16:55,280 Speaker 1: David Rosenberg. He is the chief economist and strategist at 306 00:16:55,280 --> 00:16:59,760 Speaker 1: Gluskin Chef in Toronto, Canada, and pretty much around the world. 307 00:17:00,320 --> 00:17:04,439 Speaker 1: And previously we were discussing um, the energy contraction, that 308 00:17:04,640 --> 00:17:08,040 Speaker 1: we've had a huge drop in oil prices. Let's talk 309 00:17:08,080 --> 00:17:12,119 Speaker 1: a little bit about commodities. Copper cut in half, oil 310 00:17:12,160 --> 00:17:15,320 Speaker 1: cut in half, a lot of the industrial metals iron 311 00:17:15,440 --> 00:17:20,639 Speaker 1: zinc doing really poorly now a generation ago. That would 312 00:17:20,920 --> 00:17:24,720 Speaker 1: be a warning from Dr Copper that a recession is coming. 313 00:17:24,760 --> 00:17:27,479 Speaker 1: But you're saying there's no sign of a recession on 314 00:17:27,520 --> 00:17:30,800 Speaker 1: the horizon. What does it mean that the various um 315 00:17:30,920 --> 00:17:35,800 Speaker 1: commodities are getting gobsmacked like this? Well, you know, I 316 00:17:35,840 --> 00:17:38,080 Speaker 1: never would have said that copper price alone would have 317 00:17:38,080 --> 00:17:41,040 Speaker 1: signaled a recession. Every recession has been presaged by one 318 00:17:41,040 --> 00:17:43,040 Speaker 1: thing and one thing only, which is an inversion of 319 00:17:43,080 --> 00:17:46,320 Speaker 1: the yield curve full stop. So I'm not so sure 320 00:17:46,400 --> 00:17:49,479 Speaker 1: that you can look at the price of anything, uh 321 00:17:49,520 --> 00:17:53,639 Speaker 1: and just say it's demand contraction. Every price is determined 322 00:17:53,680 --> 00:17:58,640 Speaker 1: by two lines worthy intersect, which is supply and demand. 323 00:17:59,440 --> 00:18:02,120 Speaker 1: And so it's interesting you talk about oil for example, 324 00:18:02,600 --> 00:18:05,679 Speaker 1: throughout this say sevent collapse in the old price, global 325 00:18:05,680 --> 00:18:08,639 Speaker 1: demand has us gone up? Botolines us We're pretty too 326 00:18:08,680 --> 00:18:11,439 Speaker 1: much oil. The swing producer, that's the saudiast told the 327 00:18:11,440 --> 00:18:16,480 Speaker 1: Americans a year ago, you're the swing producer. Not US 328 00:18:16,760 --> 00:18:20,640 Speaker 1: shale America. You are the swing producer. We've given that up. 329 00:18:20,680 --> 00:18:24,879 Speaker 1: Every single bottom in the old price go back to 330 00:18:26,200 --> 00:18:30,040 Speaker 1: go to, go to two thousand and two to two 331 00:18:30,040 --> 00:18:33,360 Speaker 1: thousand and nine, it was always the Saudies leading, oh pack. 332 00:18:33,440 --> 00:18:35,679 Speaker 1: In fact, you just go back to two thousand and nine, 333 00:18:35,720 --> 00:18:38,119 Speaker 1: who cut output from ten million to three umbrels a 334 00:18:38,200 --> 00:18:41,359 Speaker 1: day with the Saudis. The saudiast told the shale guys 335 00:18:41,359 --> 00:18:44,840 Speaker 1: in the US you are now the swing producer. We're 336 00:18:44,880 --> 00:18:47,960 Speaker 1: out of that business. And then throughout that and despite that, 337 00:18:48,040 --> 00:18:50,400 Speaker 1: going into last summer when oil was hitting, it slows 338 00:18:50,760 --> 00:18:54,520 Speaker 1: and right now we're putting a bottoming process, American producers 339 00:18:54,520 --> 00:18:58,480 Speaker 1: were still producing five thousand barrels a day more in 340 00:18:58,520 --> 00:19:04,440 Speaker 1: the summer than they were last November. So um, okay, 341 00:19:04,720 --> 00:19:07,119 Speaker 1: look and you look at the contango. You look at 342 00:19:07,160 --> 00:19:10,080 Speaker 1: the inventories, and they could explain contango for the lay 343 00:19:10,119 --> 00:19:14,159 Speaker 1: person who doesn't understand backwardization or contanging. Well, just looking 344 00:19:14,200 --> 00:19:17,000 Speaker 1: at you know the fact that the forward curve is 345 00:19:17,040 --> 00:19:19,720 Speaker 1: possibly steep. So it's telling you in terms of the 346 00:19:19,800 --> 00:19:23,440 Speaker 1: nutterm pricing that there's still some supply pressure putting some 347 00:19:23,880 --> 00:19:27,679 Speaker 1: downward impact on the spot price of term you expect 348 00:19:28,080 --> 00:19:30,840 Speaker 1: longer term. Well, I think that. Look when you're taking 349 00:19:30,840 --> 00:19:32,919 Speaker 1: a look at the rig count and the types of 350 00:19:33,000 --> 00:19:35,600 Speaker 1: rigs that are now being shuttered as opposed to the 351 00:19:35,640 --> 00:19:38,080 Speaker 1: type that we're the inefficial ones being shuttered say six 352 00:19:38,200 --> 00:19:43,280 Speaker 1: months ago. The fact that drilling and exploration activity is 353 00:19:43,359 --> 00:19:45,840 Speaker 1: down over the past year in the US by six 354 00:19:47,160 --> 00:19:48,760 Speaker 1: and never well, every time this happened in the past, 355 00:19:48,800 --> 00:19:50,439 Speaker 1: oil is put in the bottom. We're just still going 356 00:19:50,480 --> 00:19:52,840 Speaker 1: to get a v shape recovery. But I think oil 357 00:19:52,880 --> 00:19:55,280 Speaker 1: is putting in a bottoming formation. It's it's not you know, 358 00:19:55,320 --> 00:19:58,400 Speaker 1: the next time you get towards sixty. This fracking revolution, 359 00:19:58,440 --> 00:20:01,520 Speaker 1: the technology is sophisticated that it's not going to take 360 00:20:01,760 --> 00:20:04,200 Speaker 1: much to really trigger the output. So I think we're 361 00:20:04,200 --> 00:20:06,320 Speaker 1: in a broad forty to sixty dollar range. I'm not 362 00:20:06,359 --> 00:20:08,440 Speaker 1: in the view that we're going down to thirty. Barring 363 00:20:08,800 --> 00:20:11,960 Speaker 1: a global collapse in demand or or a recession near 364 00:20:12,080 --> 00:20:14,960 Speaker 1: term prices remain week. I think that within a year, 365 00:20:14,960 --> 00:20:16,560 Speaker 1: I think there will be opportunities. I think there will 366 00:20:16,600 --> 00:20:19,320 Speaker 1: actually be another run towards sixty. It'll be temporary and 367 00:20:19,359 --> 00:20:22,440 Speaker 1: it will be a trade. Energy is a trade. Commodities 368 00:20:22,440 --> 00:20:25,239 Speaker 1: you're a trade, They're not an investment. The twelve year 369 00:20:25,320 --> 00:20:28,719 Speaker 1: supercycle courtesy of China is reeally yesterday's story. If you're 370 00:20:28,720 --> 00:20:31,480 Speaker 1: gonna play the next supercycle into China, you're gonna be 371 00:20:31,560 --> 00:20:34,960 Speaker 1: playing services, okay, because that's where their economy is gravitating 372 00:20:35,000 --> 00:20:40,760 Speaker 1: to their gravitating away from industrialization, away from exports, towards 373 00:20:40,800 --> 00:20:45,480 Speaker 1: consumer spending most services. So that's the new supercycle. Internet services, 374 00:20:45,560 --> 00:20:49,720 Speaker 1: media services, education services, health services, the service sector side 375 00:20:49,720 --> 00:20:52,399 Speaker 1: of the Chinese economy that apparently people are telling me 376 00:20:52,400 --> 00:20:54,920 Speaker 1: it's crashing and burning because people just tend to look 377 00:20:54,960 --> 00:20:58,639 Speaker 1: at commodities and manufacturing diffusion indicries, which gives you a 378 00:20:58,840 --> 00:21:02,440 Speaker 1: very small app shot. For the first time in China's 379 00:21:02,600 --> 00:21:05,640 Speaker 1: modern history, service sector accounts for over half of their GDP. 380 00:21:06,359 --> 00:21:10,040 Speaker 1: The service sector in China. Service sector is now and 381 00:21:10,119 --> 00:21:15,040 Speaker 1: it's growing um. Consumer spending in China accounted for almost 382 00:21:15,080 --> 00:21:18,280 Speaker 1: six of the overall growth they generated. This is not 383 00:21:18,400 --> 00:21:20,640 Speaker 1: the China people you see. People are just they take 384 00:21:20,680 --> 00:21:23,040 Speaker 1: the latest experience of the extra polading in the future. 385 00:21:23,400 --> 00:21:27,400 Speaker 1: The new supercycle is consumer spending and consumer spending on services. 386 00:21:27,440 --> 00:21:29,320 Speaker 1: If I'm not mistaken. We just printed what was it, like, 387 00:21:29,320 --> 00:21:32,840 Speaker 1: a year of a year retail sales number in China. 388 00:21:32,880 --> 00:21:34,960 Speaker 1: The US hasn't printed the number like that in in 389 00:21:35,000 --> 00:21:38,480 Speaker 1: almost three decades, and on somehow China's crashing and burning. Look, 390 00:21:38,520 --> 00:21:42,160 Speaker 1: China's got they've got they do have leverage problems. Uh, 391 00:21:42,280 --> 00:21:45,560 Speaker 1: you know they're they're they're still liberalizing. Uh. It is 392 00:21:45,720 --> 00:21:48,119 Speaker 1: a it's a it's it's a work in pro in 393 00:21:48,560 --> 00:21:52,320 Speaker 1: in process. But the reality is at as Ali Baba 394 00:21:52,359 --> 00:21:53,879 Speaker 1: showed you a few weeks ago with their blow at 395 00:21:53,920 --> 00:21:57,280 Speaker 1: earnings that if you're playing China in the future, it's 396 00:21:57,280 --> 00:22:00,520 Speaker 1: not the al Coa's and it's not the John and DearS, 397 00:22:00,960 --> 00:22:03,280 Speaker 1: and it's not the caterpillars, it's who are the global 398 00:22:03,400 --> 00:22:06,760 Speaker 1: champions that will penetrate. If I would have said to 399 00:22:06,800 --> 00:22:09,720 Speaker 1: you five years ago, Dave, the Fed's going to take 400 00:22:09,840 --> 00:22:12,160 Speaker 1: rates to zero and keep them there for five years. 401 00:22:12,520 --> 00:22:16,400 Speaker 1: We're gonna do three rounds of quantitative easing, and five 402 00:22:16,480 --> 00:22:19,360 Speaker 1: years from now you're gonna have no inflation and the 403 00:22:19,440 --> 00:22:22,320 Speaker 1: dollar at multi year highs. What what would you say 404 00:22:22,320 --> 00:22:24,760 Speaker 1: to that sort of forecast? Well, I would have said 405 00:22:24,840 --> 00:22:28,320 Speaker 1: that maybe if you wanted to figure that out. You'd 406 00:22:28,320 --> 00:22:31,080 Speaker 1: read the rogue offf Reinhardt classic, or you would read 407 00:22:31,119 --> 00:22:33,879 Speaker 1: the work of this time Mackenzie. Well, this time it's different. 408 00:22:34,000 --> 00:22:36,920 Speaker 1: So the bottom line is that when you go back 409 00:22:37,000 --> 00:22:41,800 Speaker 1: centuries of of recessions that are not classic inventory cycles 410 00:22:41,880 --> 00:22:46,160 Speaker 1: but are process credit and an implosion of asset values, 411 00:22:46,640 --> 00:22:48,240 Speaker 1: this is what happens. If you want to take the 412 00:22:48,240 --> 00:22:53,120 Speaker 1: most uh I think, you know, dramatic example, go back 413 00:22:53,160 --> 00:22:57,159 Speaker 1: to the nineteen thirties. Okay, Now, look, we don't have 414 00:22:57,880 --> 00:22:59,480 Speaker 1: the people living in the land. We didn't have a 415 00:22:59,520 --> 00:23:02,560 Speaker 1: dusk ball. We actually, um, you know, actually have the 416 00:23:02,800 --> 00:23:05,520 Speaker 1: deposit insurance, and we have unemployment insurance, we have a 417 00:23:05,560 --> 00:23:09,080 Speaker 1: social safety net. Um. I'm sure that without all that 418 00:23:09,160 --> 00:23:12,080 Speaker 1: it would have been practically just as bad. We didn't 419 00:23:12,160 --> 00:23:14,679 Speaker 1: let every single bank fail. We didn't have a massive 420 00:23:14,720 --> 00:23:17,119 Speaker 1: run on banks, despite the fact that some institutions were 421 00:23:17,119 --> 00:23:20,840 Speaker 1: allowed to falter. So the bottom line is that when 422 00:23:20,840 --> 00:23:23,200 Speaker 1: you take a look at the history of financial crises 423 00:23:23,240 --> 00:23:27,080 Speaker 1: of this magnitude, Yeah, you drop industrates to zero, you 424 00:23:27,200 --> 00:23:30,760 Speaker 1: keep there for a long time. Uh and um. The 425 00:23:30,800 --> 00:23:33,160 Speaker 1: only reason why the central banks, well let's just take 426 00:23:33,200 --> 00:23:34,880 Speaker 1: the FED as an example, had to do as much 427 00:23:34,920 --> 00:23:37,600 Speaker 1: as it did was because fiscal policy was so ineffective 428 00:23:38,160 --> 00:23:40,720 Speaker 1: or non existent. It is very little compared to what 429 00:23:40,840 --> 00:23:44,520 Speaker 1: I think some people like your buddy wanted to know, 430 00:23:44,800 --> 00:23:48,400 Speaker 1: very very you know, the sad reality is that our 431 00:23:48,480 --> 00:23:53,640 Speaker 1: politicians created so many roadblocks in the US unnecessarily. Look 432 00:23:53,680 --> 00:23:56,720 Speaker 1: on from Canada. You know, we have socialized healthcare there, 433 00:23:57,040 --> 00:24:01,639 Speaker 1: But to really invoke a complicated healthcare plan because you 434 00:24:01,680 --> 00:24:05,080 Speaker 1: couldn't get it done when Hillary was in the White 435 00:24:05,080 --> 00:24:07,760 Speaker 1: House back in the early nineties. And this wasn't even 436 00:24:07,800 --> 00:24:11,119 Speaker 1: about President Obama. This is more Pelosi and read and 437 00:24:11,119 --> 00:24:13,720 Speaker 1: I'm not going to discuss the social fairness of this, 438 00:24:13,920 --> 00:24:18,080 Speaker 1: but to enact legislation that's so complicated that froze the 439 00:24:18,119 --> 00:24:22,320 Speaker 1: small business sector in time, literally two years after the 440 00:24:22,440 --> 00:24:27,120 Speaker 1: capital markets and the housing market detonated, bad timing that 441 00:24:27,160 --> 00:24:29,760 Speaker 1: delayed the recovery. Then we had to basically swing the 442 00:24:29,800 --> 00:24:33,560 Speaker 1: pendulum the other way. We had libertarians running the Fed. 443 00:24:34,240 --> 00:24:36,920 Speaker 1: Uh that we built the wild West and the financial 444 00:24:36,960 --> 00:24:39,760 Speaker 1: markets and the sheriff left town. So then what do 445 00:24:39,840 --> 00:24:43,560 Speaker 1: we do in this cycle swing the pendulum between Basil three, 446 00:24:44,119 --> 00:24:47,720 Speaker 1: the vocal rule dot frank. So we basically now are 447 00:24:47,800 --> 00:24:53,000 Speaker 1: regulating the banks like utilities, and so every step of 448 00:24:53,000 --> 00:24:55,000 Speaker 1: the way, we haven't even been able to pass a budget. 449 00:24:55,040 --> 00:24:57,760 Speaker 1: The government has about operating on continuing resolutions with every 450 00:24:57,800 --> 00:24:59,560 Speaker 1: few years. What do we have the risk of a 451 00:24:59,560 --> 00:25:03,240 Speaker 1: government's out down and debt default that again causes businesses. 452 00:25:03,560 --> 00:25:06,080 Speaker 1: I'd rather just buy back my stock, thank you very much. 453 00:25:06,119 --> 00:25:08,880 Speaker 1: An issue debt to actually commit capital to an economy 454 00:25:09,119 --> 00:25:12,560 Speaker 1: where there's basically no fiscal visibility. So that's been a 455 00:25:12,560 --> 00:25:15,399 Speaker 1: big part of the problem is that you did not 456 00:25:15,600 --> 00:25:19,879 Speaker 1: have the utopia which would have been fiscal policy. Working 457 00:25:19,880 --> 00:25:23,800 Speaker 1: with Monterey policy. We have Larry Summers, who now has 458 00:25:23,840 --> 00:25:26,280 Speaker 1: been saying for a while they were in secretar stagnation. 459 00:25:26,720 --> 00:25:30,399 Speaker 1: He was the one telling President Obama not mistaken to 460 00:25:30,520 --> 00:25:37,240 Speaker 1: go targeted and timely and transitory with the fiscal response, 461 00:25:37,320 --> 00:25:40,760 Speaker 1: the infrastructure spending that ever went anywhere. The President should 462 00:25:40,760 --> 00:25:43,040 Speaker 1: have gone big. He had a big tail wind behind 463 00:25:43,040 --> 00:25:45,640 Speaker 1: his back. He should have gone really big back then 464 00:25:45,680 --> 00:25:47,760 Speaker 1: towards a real new deal to get the economy moving. 465 00:25:47,960 --> 00:25:50,560 Speaker 1: The fiscal response was tepid, and to put all the 466 00:25:50,640 --> 00:25:54,760 Speaker 1: burden of responsibility on Monterrey policy. You're listening to Masters 467 00:25:54,760 --> 00:25:58,879 Speaker 1: in Business on Bloomberg Radio my guest today Gluskin Chef's 468 00:25:59,320 --> 00:26:02,800 Speaker 1: David rosen Burg. He is their chief economist and market strategist, 469 00:26:03,200 --> 00:26:06,640 Speaker 1: operating out of Toronto and worldwide. You know, every time 470 00:26:06,640 --> 00:26:08,320 Speaker 1: I speak to you, Dave, you're in a different part 471 00:26:08,320 --> 00:26:11,440 Speaker 1: of the world. How many countries are you in a year? 472 00:26:11,480 --> 00:26:14,120 Speaker 1: Your travel less than you used to, but you're still 473 00:26:14,160 --> 00:26:17,760 Speaker 1: all over Europe and elsewhere. Well, I'm actually going with 474 00:26:17,800 --> 00:26:20,560 Speaker 1: our investment team to mccow in Hong Kong at the 475 00:26:20,640 --> 00:26:23,480 Speaker 1: end of the month, but mostly like most of our 476 00:26:23,480 --> 00:26:27,479 Speaker 1: businesses in Canada and the States, so I don't do 477 00:26:27,560 --> 00:26:30,439 Speaker 1: the the European and Asian road shows like I used to. 478 00:26:30,560 --> 00:26:32,720 Speaker 1: But you're back in in the in the US. Uh. 479 00:26:32,880 --> 00:26:34,760 Speaker 1: You know, a good chunk of our business, at least 480 00:26:34,760 --> 00:26:37,000 Speaker 1: ten percent, is in the States and used to when 481 00:26:37,000 --> 00:26:38,960 Speaker 1: you're with Merrill Lynch, you used to be around the 482 00:26:38,960 --> 00:26:42,240 Speaker 1: world pretty regularly. You were quite the globetrotter, my friend. 483 00:26:42,280 --> 00:26:45,359 Speaker 1: I think I was either platinum, gold or silver on 484 00:26:45,520 --> 00:26:47,639 Speaker 1: on six different airlines back when we used to have 485 00:26:47,720 --> 00:26:50,440 Speaker 1: six different airlines. That's right, all right, So let's talk 486 00:26:50,480 --> 00:26:54,320 Speaker 1: a little bit about economics, not the economy, but economics 487 00:26:54,680 --> 00:26:58,919 Speaker 1: and the economics profession and one of the questions that 488 00:26:59,040 --> 00:27:02,120 Speaker 1: came up at the friends we were both at were 489 00:27:02,400 --> 00:27:07,840 Speaker 1: forecasting the economy into the forward year. And I want 490 00:27:07,880 --> 00:27:10,000 Speaker 1: to I don't want to ask you what your forecast is. 491 00:27:10,040 --> 00:27:14,119 Speaker 1: I want to ask you a more philosophical question, which 492 00:27:14,200 --> 00:27:20,800 Speaker 1: is why is forecasting so difficult? What makes thinking about 493 00:27:20,920 --> 00:27:24,440 Speaker 1: and projecting the markets and the economy forward a year 494 00:27:25,119 --> 00:27:32,200 Speaker 1: all but impossible? Well, firstly, there's there's always a certain 495 00:27:32,280 --> 00:27:37,600 Speaker 1: level of uncertainty around your forecast. That's like Yogi Bevera 496 00:27:37,680 --> 00:27:44,320 Speaker 1: famously said, Uh, making forecasts uh is very difficult, especially 497 00:27:44,359 --> 00:27:47,960 Speaker 1: when it comes to predicting the future. So there's always 498 00:27:47,960 --> 00:27:49,760 Speaker 1: a certain level of uncertainty. And I'll get into that 499 00:27:49,800 --> 00:27:51,720 Speaker 1: in a second. I think also we live in a 500 00:27:52,080 --> 00:27:54,800 Speaker 1: in a very fast money world and a world where 501 00:27:55,480 --> 00:27:57,800 Speaker 1: uh you have to pay attention to geopolitics more than 502 00:27:57,800 --> 00:28:01,359 Speaker 1: you used to before. Uh, And it's just um, you know, 503 00:28:01,440 --> 00:28:04,160 Speaker 1: the information gets transmitted much more quickly there. You mean, 504 00:28:04,160 --> 00:28:06,719 Speaker 1: it's incredible that sometimes you get moves that in the 505 00:28:06,720 --> 00:28:10,280 Speaker 1: old days, well you'd get in a year, cannot actually 506 00:28:10,280 --> 00:28:12,879 Speaker 1: happen in like a week now. And and look the 507 00:28:12,960 --> 00:28:15,879 Speaker 1: onset of program trading and all the electronics and that 508 00:28:16,000 --> 00:28:20,119 Speaker 1: go along with that. Let me just say this, um 509 00:28:20,280 --> 00:28:24,960 Speaker 1: if I had to present a forecast today like I 510 00:28:25,040 --> 00:28:26,640 Speaker 1: used to when I was on the south side at 511 00:28:26,680 --> 00:28:29,520 Speaker 1: Meryland before that, Bank of Montrail, Bank of Nova Scotia. 512 00:28:30,320 --> 00:28:33,920 Speaker 1: After six years on the bye side of Glaskon Chef, 513 00:28:34,200 --> 00:28:39,240 Speaker 1: sitting down seven with our portfolio managers, I finally figured 514 00:28:39,280 --> 00:28:40,600 Speaker 1: out I used to. I used to think, you know, 515 00:28:40,600 --> 00:28:43,000 Speaker 1: when you're chief economist to Mary Lynch, you you you 516 00:28:43,040 --> 00:28:45,440 Speaker 1: think that you're like the starting pitch of the New 517 00:28:45,520 --> 00:28:47,600 Speaker 1: York Yankees. You have it all figured it out. I 518 00:28:47,640 --> 00:28:50,440 Speaker 1: realized when I got to Glaskon Chef how much I 519 00:28:50,480 --> 00:28:52,880 Speaker 1: didn't know. And it was a revelation I had in 520 00:28:52,960 --> 00:28:55,479 Speaker 1: my first meeting when I gave a particular forecast and 521 00:28:55,560 --> 00:28:58,880 Speaker 1: the portfolio manager I forget what it was exactly, said so, 522 00:28:58,880 --> 00:29:01,400 Speaker 1: how much conviction do you have in that call? And 523 00:29:01,440 --> 00:29:03,560 Speaker 1: I said what, Well, he said, well, certainly you know 524 00:29:03,640 --> 00:29:08,520 Speaker 1: you don't have it's iron clad. What is your conviction level? 525 00:29:08,520 --> 00:29:10,560 Speaker 1: And then what scenario B, C or D if you're 526 00:29:10,560 --> 00:29:13,160 Speaker 1: gonna be wrong where you're gonna be wrong? So you see, 527 00:29:13,520 --> 00:29:16,640 Speaker 1: if you're managing money for a living, if you are 528 00:29:16,680 --> 00:29:20,160 Speaker 1: an investor, portfolio manager. Your whole world is one job, 529 00:29:20,360 --> 00:29:23,640 Speaker 1: probability curve. And the economist job is not to get 530 00:29:23,720 --> 00:29:29,960 Speaker 1: the base case right. It's to help the investor make 531 00:29:30,120 --> 00:29:33,959 Speaker 1: an informed decision, and that comes down to helping tighten 532 00:29:34,040 --> 00:29:37,280 Speaker 1: in the probability bands. So I will go to a 533 00:29:37,320 --> 00:29:40,320 Speaker 1: meeting today, a glaskon chef where basically I will have 534 00:29:40,360 --> 00:29:43,120 Speaker 1: the same base case forecasts, but I'll say, hey, fellas, 535 00:29:43,520 --> 00:29:46,280 Speaker 1: whereas I used to have eight percent conviction, it's down 536 00:29:46,320 --> 00:29:50,560 Speaker 1: to oh, by the way, scenario B is now D 537 00:29:50,720 --> 00:29:53,880 Speaker 1: and D is now C and and everybody in the 538 00:29:53,960 --> 00:29:57,880 Speaker 1: room will be running down like they'll be sweating writing 539 00:29:57,880 --> 00:30:00,080 Speaker 1: down what I'm saying. And I didn't even change my 540 00:30:00,120 --> 00:30:04,040 Speaker 1: base case scenario. It's all about your conviction level, how 541 00:30:04,080 --> 00:30:07,880 Speaker 1: that changes over time. And if you're wrong, we're you're 542 00:30:07,880 --> 00:30:10,120 Speaker 1: gonna be wrong. What is your what scenario B, C 543 00:30:10,320 --> 00:30:13,040 Speaker 1: or D? Because your forecast And this is what gets 544 00:30:13,040 --> 00:30:16,800 Speaker 1: economists into trouble. You know, you read these spreadsheets, you 545 00:30:16,840 --> 00:30:19,040 Speaker 1: read a daily, read a weekly, a monthly out of 546 00:30:19,040 --> 00:30:23,720 Speaker 1: a classic seuth Side Wall Street economics house, and you think, well, 547 00:30:23,920 --> 00:30:26,880 Speaker 1: that GDP growth in the fourth quarter, that's got to 548 00:30:26,920 --> 00:30:29,080 Speaker 1: be there, iron clad. But you don't get to ask 549 00:30:29,120 --> 00:30:32,200 Speaker 1: them how much confidence do you have in that forecast? 550 00:30:32,360 --> 00:30:36,200 Speaker 1: Or if you're wrong, say you're calling for three, will 551 00:30:36,200 --> 00:30:40,080 Speaker 1: it be too or will it be four? Meaning you're 552 00:30:40,120 --> 00:30:42,600 Speaker 1: you're gonna be wrong because it's hotter or wrong because 553 00:30:42,600 --> 00:30:47,320 Speaker 1: it's colder. You've got the whole life of a portfolio manager. 554 00:30:47,400 --> 00:30:54,000 Speaker 1: Their brain is one giant distribution curve of outcomes, and 555 00:30:54,080 --> 00:30:57,320 Speaker 1: the economist role is not to focus just on the 556 00:30:57,360 --> 00:31:01,240 Speaker 1: base case. It's to focus on the whole range of outcomes. 557 00:31:01,520 --> 00:31:04,120 Speaker 1: Is it a fat tail curve, it is a thin 558 00:31:04,200 --> 00:31:09,720 Speaker 1: tail curve. And actually sometimes just shifting your second your 559 00:31:09,840 --> 00:31:15,280 Speaker 1: well what what what? The next two possibilities are huge 560 00:31:15,440 --> 00:31:17,800 Speaker 1: in terms of what that could mean for portolio management. 561 00:31:18,280 --> 00:31:22,960 Speaker 1: We're discussing fun with Gaussian distribution curves with Dave Rosenberg. 562 00:31:23,320 --> 00:31:27,040 Speaker 1: I love this new or not so new philosophical way 563 00:31:27,080 --> 00:31:32,520 Speaker 1: of looking at the world from a probabilistic perspective. Often wrong, 564 00:31:32,600 --> 00:31:35,320 Speaker 1: seldom in doubt is the expression that comes to mind 565 00:31:35,800 --> 00:31:40,840 Speaker 1: about the people on the sell side who are full 566 00:31:41,040 --> 00:31:43,880 Speaker 1: of conviction, but there is no plan B, there is 567 00:31:43,920 --> 00:31:47,920 Speaker 1: no distribution. Here's my forecast right or wrong? Well, that's 568 00:31:48,080 --> 00:31:50,520 Speaker 1: um and that's what gets economists in the hot water. 569 00:31:50,720 --> 00:31:53,480 Speaker 1: And that's uh, and that's the bad rap in the profession. 570 00:31:53,600 --> 00:31:57,520 Speaker 1: That's why if I had to go back to that, UM, 571 00:31:57,600 --> 00:32:00,960 Speaker 1: I guess profession of publishing forecast us, which thankfully I 572 00:32:00,960 --> 00:32:04,080 Speaker 1: don't have to do anymore, I would do it completely differently. 573 00:32:04,560 --> 00:32:06,640 Speaker 1: I think the one way, how would you how would 574 00:32:06,640 --> 00:32:08,680 Speaker 1: you do it different? Well, as as I said I would, 575 00:32:08,680 --> 00:32:14,680 Speaker 1: I would UM. I would provide scenarios. I'd attached probabilities 576 00:32:14,840 --> 00:32:18,440 Speaker 1: and attached scenarios. What's important once again you talked about 577 00:32:18,440 --> 00:32:21,280 Speaker 1: this Spajan economics. It's actually it should be so elementary 578 00:32:21,320 --> 00:32:24,480 Speaker 1: for economists that actually go through and take statistics, econometrics. 579 00:32:24,520 --> 00:32:27,400 Speaker 1: We all did this in university. Is it's all about 580 00:32:27,440 --> 00:32:33,240 Speaker 1: expected values. It's about across the continuum of possibilities, across 581 00:32:33,720 --> 00:32:38,000 Speaker 1: the distribution curve. What is the reward of being right 582 00:32:38,920 --> 00:32:42,320 Speaker 1: benchmarked against the cost of being wrong spread across that 583 00:32:43,120 --> 00:32:47,120 Speaker 1: um Ultimately, if you're a street economist, and whether it's 584 00:32:47,160 --> 00:32:50,800 Speaker 1: Wall Street, Bay Street, Montgomery Street, House Street, UH, your 585 00:32:50,880 --> 00:32:55,920 Speaker 1: job is basically as the economist to help portfolio managers 586 00:32:56,200 --> 00:32:58,680 Speaker 1: make effective decision making. What I like to say at 587 00:32:58,680 --> 00:33:02,320 Speaker 1: Gluskin Chef is that our portfolio managers are the goalies, 588 00:33:03,080 --> 00:33:06,560 Speaker 1: and I'm the goalie coach. I can't I can't stop 589 00:33:06,600 --> 00:33:09,920 Speaker 1: the puck for them. They actually are the ones that 590 00:33:10,120 --> 00:33:14,120 Speaker 1: wear the goals against average. It's their portfolio. Our job 591 00:33:14,160 --> 00:33:18,920 Speaker 1: as economists, as street economists, UH, in the realm of 592 00:33:19,200 --> 00:33:23,600 Speaker 1: providing cogent and coherent and cohesive investment advice, is to 593 00:33:23,680 --> 00:33:26,760 Speaker 1: help portfolio managers stay out of trouble and to make 594 00:33:26,800 --> 00:33:30,880 Speaker 1: effect of decision making. So if I had a new 595 00:33:30,960 --> 00:33:33,760 Speaker 1: role where I provided forecast UM, they would look like 596 00:33:33,840 --> 00:33:37,320 Speaker 1: probability curves and you wouldn't be wed to one particular view, 597 00:33:37,480 --> 00:33:40,520 Speaker 1: although you would have a base case with a probability 598 00:33:40,560 --> 00:33:42,480 Speaker 1: attached to it. There's something else that's very important to 599 00:33:42,520 --> 00:33:45,800 Speaker 1: my profession, which is this UM. It's admitting when you're wrong. 600 00:33:46,120 --> 00:33:48,200 Speaker 1: I love that I have that as a question. How 601 00:33:48,200 --> 00:33:51,080 Speaker 1: do you, as an economist admit error but you're saying 602 00:33:51,120 --> 00:33:55,000 Speaker 1: you're building that in Speaking of errors, here's an economist 603 00:33:55,000 --> 00:33:58,280 Speaker 1: who's frequently wrong, Richard Yamaron rich pull up a seat 604 00:33:58,320 --> 00:34:01,840 Speaker 1: and join us for a conversation about why most economists 605 00:34:02,160 --> 00:34:05,959 Speaker 1: are so terrible at forecasting UH the markets. They've just 606 00:34:06,080 --> 00:34:10,040 Speaker 1: explained what you do wrong as a professional economist. Well, 607 00:34:10,120 --> 00:34:12,680 Speaker 1: I was actually gonna say, Richie am ron Is is 608 00:34:12,760 --> 00:34:14,759 Speaker 1: about my best friend in the world, and so I 609 00:34:14,800 --> 00:34:17,040 Speaker 1: can't possibly it's a good thing he's here, because I 610 00:34:17,080 --> 00:34:19,160 Speaker 1: would never take a shot at rich behind his back, 611 00:34:19,600 --> 00:34:21,440 Speaker 1: I know, but I was doing it on your behalf. 612 00:34:21,480 --> 00:34:23,839 Speaker 1: I know what you were implying about Rich. I only 613 00:34:23,880 --> 00:34:25,719 Speaker 1: came in because I heard there were free donuts or 614 00:34:25,760 --> 00:34:28,520 Speaker 1: something in that. That's that's exactly, very very ate them all. 615 00:34:29,040 --> 00:34:33,240 Speaker 1: So so we were so we were just discussing looking 616 00:34:33,239 --> 00:34:38,279 Speaker 1: at economics as a probabilistic distribution as a proposed to 617 00:34:38,400 --> 00:34:41,560 Speaker 1: being all right or all wrong, and much of the 618 00:34:41,600 --> 00:34:46,000 Speaker 1: Wall Street universe doesn't take that approach. Um, is this 619 00:34:46,080 --> 00:34:49,920 Speaker 1: a failure of traditional economics or is it just marketing? 620 00:34:50,320 --> 00:34:53,279 Speaker 1: It's marketing, and it's you know, I guess this human 621 00:34:53,360 --> 00:34:57,480 Speaker 1: nature of having to be force fed numbers as opposed 622 00:34:57,480 --> 00:35:00,920 Speaker 1: to a thought process. But here's what's important. Uh As 623 00:35:00,920 --> 00:35:03,080 Speaker 1: I found out working on this on the by side. 624 00:35:03,160 --> 00:35:05,839 Speaker 1: And you know, every cell side firm has an economist. 625 00:35:06,480 --> 00:35:09,040 Speaker 1: Uh not every by side firm has an economist. I'm 626 00:35:09,040 --> 00:35:11,759 Speaker 1: pretty sure that in Canada, Glaskon Chef is probably one 627 00:35:11,760 --> 00:35:16,799 Speaker 1: of the few. It's about scenario building, uh and uh 628 00:35:16,920 --> 00:35:18,640 Speaker 1: and and what happens I think with a lot of 629 00:35:18,640 --> 00:35:21,839 Speaker 1: economists is a certain level of arrogance in your forecast, 630 00:35:22,600 --> 00:35:24,440 Speaker 1: that that is basically the base case, and that's the 631 00:35:24,440 --> 00:35:26,239 Speaker 1: way it's gonna be here. I'll just say this much. 632 00:35:27,360 --> 00:35:34,000 Speaker 1: You cannot marry your forecast, Mary, your partner, don't marry 633 00:35:34,000 --> 00:35:37,480 Speaker 1: your forecast. It will often not love you back. And 634 00:35:37,600 --> 00:35:41,520 Speaker 1: have a plan B. Have an escape clause in case 635 00:35:41,600 --> 00:35:44,400 Speaker 1: you're wrong, and have the discipline to admit that you're wrong. 636 00:35:44,840 --> 00:35:46,960 Speaker 1: And when you admit that you're wrong, because we're human 637 00:35:47,000 --> 00:35:51,800 Speaker 1: beings and we will be wrong. Have the insurance policy 638 00:35:51,840 --> 00:35:54,840 Speaker 1: in place for the portfolio manager. What's that scenario be 639 00:35:55,040 --> 00:35:57,799 Speaker 1: that they can flip into when you are going to 640 00:35:57,840 --> 00:36:00,840 Speaker 1: be wrong. We've been speaking to David Rosenberg. He's the 641 00:36:00,920 --> 00:36:05,239 Speaker 1: chief economist and market strategist for Gluskin Chef. If you 642 00:36:05,239 --> 00:36:07,160 Speaker 1: want to find, by the way, more of his writings, 643 00:36:07,160 --> 00:36:09,560 Speaker 1: you can go to Gluskin chef dot com. Is that right? 644 00:36:09,600 --> 00:36:13,279 Speaker 1: That's the website dot com dot com. It's uh. Go 645 00:36:13,440 --> 00:36:16,680 Speaker 1: to just google Gluskin Chef and you can find the 646 00:36:16,680 --> 00:36:19,400 Speaker 1: website or google Breakfast with Dave which is the daily 647 00:36:19,520 --> 00:36:22,799 Speaker 1: commentary that Dave Rosenberg puts out my staple. If you 648 00:36:22,880 --> 00:36:25,400 Speaker 1: enjoy this conversation, be sure and stick around for the 649 00:36:25,440 --> 00:36:28,200 Speaker 1: podcast extras, where we let our hair down and keep 650 00:36:28,200 --> 00:36:32,319 Speaker 1: the tape rolling. Check out my daily column on Bloomberg 651 00:36:32,440 --> 00:36:36,719 Speaker 1: View dot com or follow me on Twitter at rid Halts. 652 00:36:36,840 --> 00:36:39,360 Speaker 1: I'm Barry Rid Halts. You've been listening to Masters in 653 00:36:39,400 --> 00:36:44,640 Speaker 1: Business on Bloomberg Radio. Okay, welcome back to the podcast. 654 00:36:44,880 --> 00:36:49,200 Speaker 1: My guest today Dave Rosenberg. We have a special special guest, 655 00:36:49,520 --> 00:36:53,080 Speaker 1: rich Yamarone. He's the chief economist at Bloomberg. What's your 656 00:36:53,120 --> 00:36:57,080 Speaker 1: title best looking economists? Best looking economists. That's a low bar. 657 00:36:57,239 --> 00:37:00,560 Speaker 1: That's like smartest bush, low bar. I say that just 658 00:37:00,600 --> 00:37:03,640 Speaker 1: to torture Dave. I know he's a huge gem. It's 659 00:37:03,680 --> 00:37:08,399 Speaker 1: all right, let's do this over again because I'm gonna 660 00:37:08,400 --> 00:37:13,360 Speaker 1: get everybody in trouble with that. Welcome back to the podcast. Uh, 661 00:37:13,719 --> 00:37:16,799 Speaker 1: I'm speaking with Dave Rosenberg. Is my special guest this week. 662 00:37:16,840 --> 00:37:20,160 Speaker 1: My extra special guest just dropping in. One of the 663 00:37:20,160 --> 00:37:24,400 Speaker 1: economists here we keep down in the basement, rich yamar 664 00:37:24,480 --> 00:37:27,640 Speaker 1: And say hello to the people, Yamaron, Hello people, fantastic 665 00:37:28,160 --> 00:37:31,520 Speaker 1: Yammy and Dave are old buddies. They went to uh 666 00:37:31,600 --> 00:37:37,000 Speaker 1: economics grammar school together in um parts unknown, Toronto, Toronto, 667 00:37:37,200 --> 00:37:42,759 Speaker 1: usually usually someplace where wine is pouring. Um. So, the 668 00:37:42,840 --> 00:37:46,520 Speaker 1: funny thing about the conversation about traveling. When you and 669 00:37:46,560 --> 00:37:49,520 Speaker 1: I first met a hundred years ago, you were on 670 00:37:49,560 --> 00:37:52,279 Speaker 1: the road. I want to say two weeks a month, 671 00:37:52,320 --> 00:37:57,000 Speaker 1: maybe three weeks a month, something crazy like that. I'd 672 00:37:57,000 --> 00:38:00,319 Speaker 1: say half the time, a hundred thousand miles a year. 673 00:38:00,800 --> 00:38:04,320 Speaker 1: Uh that's uh that you know that could be the 674 00:38:04,400 --> 00:38:08,640 Speaker 1: under Really yeah, it was a look at that job 675 00:38:10,040 --> 00:38:19,000 Speaker 1: between equities, fixed income, derivatives, commodities, middle markets, Uh, the 676 00:38:19,000 --> 00:38:24,280 Speaker 1: the private client. There were so many constituents to serve. Uh, 677 00:38:24,320 --> 00:38:28,040 Speaker 1: that was crazy. Plus, don't forget very my my wife 678 00:38:28,120 --> 00:38:32,520 Speaker 1: and kids were back in Toronto, so I was I 679 00:38:32,640 --> 00:38:36,279 Speaker 1: was freely available to market seven So and with that, look, 680 00:38:36,280 --> 00:38:41,000 Speaker 1: it was a global firm travel You travel like the globe. Well, 681 00:38:41,080 --> 00:38:45,440 Speaker 1: look it was um you know, uh, no guts, no glory. 682 00:38:45,960 --> 00:38:48,239 Speaker 1: So let me ask you a question similar to what 683 00:38:48,320 --> 00:38:51,440 Speaker 1: I asked our friend Michelle Meyer, who's now a senior 684 00:38:51,440 --> 00:38:55,680 Speaker 1: economist at Merrill Lynch and she's phenomenal, rising star, phenomenal, 685 00:38:55,760 --> 00:38:59,080 Speaker 1: not not rising star. She's a star. So what is 686 00:38:59,120 --> 00:39:02,400 Speaker 1: a day in the lie if of a chief economist 687 00:39:02,440 --> 00:39:06,120 Speaker 1: at a place like Merrill Lynch with fifteen or twenty 688 00:39:06,120 --> 00:39:10,239 Speaker 1: thousand advisors and a trillion dollars in assets under management? 689 00:39:10,760 --> 00:39:15,520 Speaker 1: What time did your day start? Back then? Well, my 690 00:39:15,640 --> 00:39:19,880 Speaker 1: day probably um is as an outlier, because because I 691 00:39:19,920 --> 00:39:23,960 Speaker 1: did the daily which back then was called Morning Market Memo, 692 00:39:24,480 --> 00:39:32,200 Speaker 1: although internally it was called Rosie's Tidbits. Uh, my day started, um, 693 00:39:32,440 --> 00:39:34,640 Speaker 1: I got up at four in the morning. Four in 694 00:39:34,680 --> 00:39:37,239 Speaker 1: the morning, morning, four in the morning. Yeah, well, any 695 00:39:37,280 --> 00:39:39,279 Speaker 1: time you getting up today, if it depends what I 696 00:39:39,280 --> 00:39:41,200 Speaker 1: was doing the night before. But now you're up. I 697 00:39:41,200 --> 00:39:43,239 Speaker 1: think you're up about three because I get breakfast with 698 00:39:43,320 --> 00:39:45,840 Speaker 1: Dave and it looks like it's a couple of hours 699 00:39:45,840 --> 00:39:49,680 Speaker 1: of work. And I get that at you know, before noon. Well, 700 00:39:49,719 --> 00:39:52,680 Speaker 1: I get up at h I get up at four thirty. 701 00:39:52,760 --> 00:39:54,879 Speaker 1: But I've always been well, firstly, I'm not a very 702 00:39:54,880 --> 00:39:58,719 Speaker 1: good sleeper. Uh am, I as I get maybe that's 703 00:39:58,800 --> 00:40:04,279 Speaker 1: t M I uh and uh, well, as only you 704 00:40:04,320 --> 00:40:08,880 Speaker 1: would know. And uh and and I've always been I've 705 00:40:08,880 --> 00:40:11,080 Speaker 1: always been I've always been worried that way. As as 706 00:40:11,080 --> 00:40:14,319 Speaker 1: a as a morning person. Same here, use a long clock, 707 00:40:14,400 --> 00:40:16,680 Speaker 1: you just wake up. You know. It's a you know, 708 00:40:17,000 --> 00:40:20,600 Speaker 1: I have a real passion for this business. And look, 709 00:40:20,640 --> 00:40:23,000 Speaker 1: you asked before about what's all the best change, But 710 00:40:23,040 --> 00:40:26,920 Speaker 1: it's really the markets don't sleep, and so therefore I 711 00:40:26,960 --> 00:40:30,680 Speaker 1: have trouble sleeping, so I get up early. And um, 712 00:40:30,719 --> 00:40:33,279 Speaker 1: I've got a lot of stamina and on a lot 713 00:40:33,320 --> 00:40:36,480 Speaker 1: of engines. So the reality is that, um, you know, 714 00:40:36,560 --> 00:40:39,720 Speaker 1: it's not just about look your your work ethic, uh 715 00:40:40,040 --> 00:40:42,279 Speaker 1: has to be there. I guess you have to have 716 00:40:42,320 --> 00:40:44,640 Speaker 1: a reasonable level of intelligence. You have to read a 717 00:40:44,680 --> 00:40:47,879 Speaker 1: lot because it's important to be informed. Some people think 718 00:40:47,960 --> 00:40:50,440 Speaker 1: that you're smart when all you really do is you 719 00:40:50,520 --> 00:40:52,560 Speaker 1: read eight newspapers and you know what's going on around 720 00:40:52,680 --> 00:40:57,000 Speaker 1: the world. Being informed, though, is important part um of 721 00:40:57,040 --> 00:41:00,239 Speaker 1: what I do. And then it's a uh, I'm matter 722 00:41:00,400 --> 00:41:04,720 Speaker 1: of um of serving all your constituents. Look at Glasgow Chef, 723 00:41:05,160 --> 00:41:09,640 Speaker 1: my most important client, or our portfolio managers. I sit 724 00:41:09,800 --> 00:41:11,480 Speaker 1: right out there with them. I don't have to travel 725 00:41:11,520 --> 00:41:13,879 Speaker 1: around the world to see portfolio managers. I sit next 726 00:41:13,920 --> 00:41:17,360 Speaker 1: to ours, and I say the most important client because 727 00:41:17,520 --> 00:41:19,400 Speaker 1: they're the ones that drive the performance of the firm. 728 00:41:19,680 --> 00:41:21,920 Speaker 1: And then of course I see the clients of our firm, 729 00:41:22,040 --> 00:41:27,359 Speaker 1: which are are wealthy families in North America at Merrill Lynch, 730 00:41:27,680 --> 00:41:31,360 Speaker 1: I mean a million different constitutions all over the world. 731 00:41:31,400 --> 00:41:33,919 Speaker 1: Oh yeah, it was just look, the most important time, 732 00:41:34,000 --> 00:41:38,640 Speaker 1: the most important, the most important challenge for me. You know, Look, 733 00:41:38,680 --> 00:41:40,520 Speaker 1: you had to manage up. You have to manage down. 734 00:41:40,560 --> 00:41:42,000 Speaker 1: I had a big team. I had a team in 735 00:41:42,040 --> 00:41:44,920 Speaker 1: Toronto and a team in New York. Um, how do 736 00:41:45,000 --> 00:41:48,000 Speaker 1: you manage up? But the well, how do you manage up? 737 00:41:48,080 --> 00:41:50,760 Speaker 1: Is you have to make I I had multiple bosses 738 00:41:51,560 --> 00:41:54,960 Speaker 1: at the well, I don't know do we do we 739 00:41:55,000 --> 00:41:58,200 Speaker 1: have all night? Because well, the donuts are gone. So 740 00:41:58,200 --> 00:42:00,799 Speaker 1: so let's let's let's about who you have who Look 741 00:42:00,880 --> 00:42:02,480 Speaker 1: they were they were they were. Look, you had to 742 00:42:02,520 --> 00:42:04,719 Speaker 1: make the head of research happy and they had a 743 00:42:04,800 --> 00:42:08,759 Speaker 1: research also had their constituents, which uh, you know, they 744 00:42:08,800 --> 00:42:12,400 Speaker 1: had equity analysts reporting into them. You had had a 745 00:42:12,440 --> 00:42:14,920 Speaker 1: fixed income head of equities, you know, So you had 746 00:42:14,960 --> 00:42:16,920 Speaker 1: the head of research and then you had all the producers. 747 00:42:17,400 --> 00:42:19,319 Speaker 1: So look, you had to balance a lot of things. 748 00:42:19,400 --> 00:42:22,399 Speaker 1: You also had the CEO of Merrill Lynch back when 749 00:42:22,400 --> 00:42:25,680 Speaker 1: they were a standalone entity. I recall the days when 750 00:42:25,719 --> 00:42:31,359 Speaker 1: you would get called into. Um, I'm trying to think 751 00:42:31,360 --> 00:42:35,280 Speaker 1: of which Ceo O'Neill you would get called into, Dave, 752 00:42:35,360 --> 00:42:40,080 Speaker 1: what's this nonsense about this or that? What were those days? Look, 753 00:42:40,400 --> 00:42:43,600 Speaker 1: I'll tell you this much okay, Um, Look, I was 754 00:42:43,680 --> 00:42:46,480 Speaker 1: not a threat to Stan O'Neill, uh you know, And 755 00:42:46,520 --> 00:42:50,000 Speaker 1: it's all been written about. But Stan O'Neill and the 756 00:42:50,040 --> 00:42:53,239 Speaker 1: time I was there at the time was that he 757 00:42:53,360 --> 00:42:57,400 Speaker 1: was there treated me with the utmost of respect. And 758 00:42:57,440 --> 00:42:59,400 Speaker 1: I'll tell you that I was probably in his office 759 00:42:59,440 --> 00:43:03,680 Speaker 1: once a month, and uh we got along famously. Well. Um, 760 00:43:03,719 --> 00:43:07,279 Speaker 1: you know, so we're going into a realm that you know, 761 00:43:07,320 --> 00:43:10,279 Speaker 1: where there's the narrative and there's the reality. Uh Stan 762 00:43:10,360 --> 00:43:12,840 Speaker 1: and I got along very well, you know, after he 763 00:43:12,960 --> 00:43:15,759 Speaker 1: left a short period with John Thane, and we got 764 00:43:15,760 --> 00:43:18,680 Speaker 1: along well. But I look, I knew Stan O'Neill very well. 765 00:43:18,719 --> 00:43:21,480 Speaker 1: And look when he was making money for the firm, 766 00:43:21,600 --> 00:43:23,359 Speaker 1: and of course he was taking a lot of risk, 767 00:43:24,040 --> 00:43:27,239 Speaker 1: but people would kiss the ring in his finger everybody 768 00:43:27,280 --> 00:43:29,520 Speaker 1: loves and so well that's what I mean. And then 769 00:43:29,600 --> 00:43:32,640 Speaker 1: and then, uh, I've seen it all. But I'll tell 770 00:43:32,680 --> 00:43:38,920 Speaker 1: you this, uh Stan um brilliant man. Uh and uh 771 00:43:39,120 --> 00:43:41,520 Speaker 1: you can say in quotes, well why did he not 772 00:43:41,600 --> 00:43:46,440 Speaker 1: listen to Rosie? And uh, look it's all behind us now. 773 00:43:46,480 --> 00:43:49,560 Speaker 1: But the reality is that when you want to at 774 00:43:49,640 --> 00:43:52,920 Speaker 1: Merrill Lynch, uh start to compete with the Goldman Sachs 775 00:43:53,040 --> 00:43:55,239 Speaker 1: on R O e s and r oays and half 776 00:43:55,320 --> 00:43:57,960 Speaker 1: your business as a thunderbring herd which is a stable 777 00:43:58,920 --> 00:44:02,640 Speaker 1: uh you know o pe business. Um, you got to 778 00:44:02,680 --> 00:44:04,400 Speaker 1: dial up a lot of risk. But I'll tell you 779 00:44:04,440 --> 00:44:07,120 Speaker 1: this much, and I'll say it for the record. My 780 00:44:07,200 --> 00:44:12,480 Speaker 1: relationship with Stan O'Neill was phenomenal, uh. And he treated 781 00:44:12,520 --> 00:44:15,360 Speaker 1: me with respect. Whether he agreed with me, and purely 782 00:44:15,400 --> 00:44:17,600 Speaker 1: he disagreed with my view, we were in position for 783 00:44:17,719 --> 00:44:21,240 Speaker 1: my view. That's a different matter because people could also 784 00:44:21,280 --> 00:44:23,480 Speaker 1: say that I was wrong and I was way early 785 00:44:23,560 --> 00:44:27,040 Speaker 1: on the call, but stand every step of the way 786 00:44:27,160 --> 00:44:30,040 Speaker 1: treated me without most respect. Coming up next week, we 787 00:44:30,080 --> 00:44:32,799 Speaker 1: interviewed Stan O'Neill and find the real story about the 788 00:44:32,840 --> 00:44:37,400 Speaker 1: relationship with Dave and stand on Masters in Business. Actually, 789 00:44:37,440 --> 00:44:39,600 Speaker 1: I would love to get Stan O'Neill in here. That 790 00:44:39,600 --> 00:44:43,919 Speaker 1: would be a fascinating conversation because he was really talk 791 00:44:44,000 --> 00:44:47,440 Speaker 1: about the middle of the vortex when everything was hitting. 792 00:44:47,520 --> 00:44:51,680 Speaker 1: That would be quite insane. No, Dave, I'm kidding, but 793 00:44:52,120 --> 00:44:54,600 Speaker 1: that would be just unbelievable. To get him in here. 794 00:44:54,600 --> 00:44:56,080 Speaker 1: I tried to get in touch with him. Actually, don't 795 00:44:56,920 --> 00:44:59,399 Speaker 1: you know who I would love to speak to one 796 00:44:59,440 --> 00:45:03,160 Speaker 1: of your men tours in one of my favorite old Bob. 797 00:45:03,200 --> 00:45:05,160 Speaker 1: I was gonna say Richard Dmaron. But since you brought 798 00:45:05,239 --> 00:45:09,080 Speaker 1: up Bob Farrell, let's talk about one of our favorite analysts. 799 00:45:09,080 --> 00:45:11,000 Speaker 1: One of the mentors that you had at Meryl, a 800 00:45:11,000 --> 00:45:15,360 Speaker 1: gentleman named Bob Farrell who put out first time everyone 801 00:45:15,440 --> 00:45:19,080 Speaker 1: writing you actually put it wrote it up, Bob Farrell's 802 00:45:19,160 --> 00:45:22,480 Speaker 1: ten Rules for the Market. I thought that was one 803 00:45:22,480 --> 00:45:26,400 Speaker 1: of the most insightful pieces of here's how to be 804 00:45:26,440 --> 00:45:31,360 Speaker 1: a better trader, manager, investor I've ever seen. What was 805 00:45:31,400 --> 00:45:33,839 Speaker 1: it like working with Farrell? Well, you know, we had 806 00:45:33,880 --> 00:45:37,080 Speaker 1: a just a short stint working together because he was 807 00:45:37,360 --> 00:45:39,440 Speaker 1: in the limelight of his career when I started at 808 00:45:39,480 --> 00:45:43,600 Speaker 1: Meryll Canada back in the late nineties. He used to 809 00:45:43,640 --> 00:45:47,719 Speaker 1: write this report Bob did called Theme and Profile Investing, 810 00:45:48,960 --> 00:45:53,600 Speaker 1: which was um like, truly am like, I would say, apparticly, 811 00:45:53,600 --> 00:45:57,759 Speaker 1: a bible, heartbreaking work of Stack. But but he he 812 00:45:58,239 --> 00:46:02,720 Speaker 1: years ago at decades Go, had written about Bob Farrell's 813 00:46:02,760 --> 00:46:05,400 Speaker 1: ten market rules to remember, which are the ten commandments. 814 00:46:05,920 --> 00:46:08,000 Speaker 1: I've had to stay at a trouble uh. And that's 815 00:46:08,040 --> 00:46:11,040 Speaker 1: what's important in the investing business, is that sometimes most 816 00:46:11,040 --> 00:46:12,640 Speaker 1: of the time, Bury, it's what you don't own in 817 00:46:12,680 --> 00:46:15,640 Speaker 1: the portfolio as much as what you do own in 818 00:46:15,680 --> 00:46:19,600 Speaker 1: the portfolio. Bob Farrell, I would there were three mentors 819 00:46:19,640 --> 00:46:22,360 Speaker 1: that I had in my thirty year career. One of 820 00:46:22,400 --> 00:46:25,520 Speaker 1: them was Warren Justin At, the chief economist at the 821 00:46:25,560 --> 00:46:27,840 Speaker 1: bank in Nova Scotia. He's about to retire in February. 822 00:46:27,880 --> 00:46:31,760 Speaker 1: He brought me on base freedom in n Don Cox, 823 00:46:31,840 --> 00:46:36,320 Speaker 1: who was the chief strategist at at Harris Investment Management, 824 00:46:36,440 --> 00:46:39,400 Speaker 1: which was part of the Bank of Montreal family firms 825 00:46:39,400 --> 00:46:41,839 Speaker 1: out of Chicago. He runs his own consulting firm now 826 00:46:42,360 --> 00:46:45,000 Speaker 1: and is keyed up to be a future guest on 827 00:46:45,040 --> 00:46:48,040 Speaker 1: the show. And um and and and and I would 828 00:46:48,040 --> 00:46:50,799 Speaker 1: say that there's he he might be, But the only 829 00:46:50,840 --> 00:46:54,280 Speaker 1: genius I truly do well. I say Don is a genius. 830 00:46:54,480 --> 00:46:59,719 Speaker 1: What about Yamaron? Yamaron is um a genius divided by 831 00:47:00,040 --> 00:47:03,919 Speaker 1: ten uh and um and and Bob. Bob Ferrell had 832 00:47:03,960 --> 00:47:07,120 Speaker 1: a profound influence in my career. We actually twice a year, 833 00:47:07,760 --> 00:47:10,759 Speaker 1: UH we co host an investor lunch here in New York. 834 00:47:10,760 --> 00:47:13,239 Speaker 1: One's coming up in mid December. He's still a going 835 00:47:13,280 --> 00:47:16,880 Speaker 1: concern um and UH and putting out research and then 836 00:47:17,000 --> 00:47:20,319 Speaker 1: doing work and UH a sound of mind. The last 837 00:47:20,320 --> 00:47:22,120 Speaker 1: time I spoke to him, as he's been at any 838 00:47:22,160 --> 00:47:26,319 Speaker 1: time since I've known him. Uh. He is a true legend. UH. 839 00:47:26,640 --> 00:47:33,000 Speaker 1: The operative word is discipline. He is a disciplined UH strategist. 840 00:47:33,520 --> 00:47:38,080 Speaker 1: And UH doesn't get him passioned. Um. He basically UH 841 00:47:38,280 --> 00:47:43,759 Speaker 1: lets the markets and the charts and the patterns, UM 842 00:47:43,880 --> 00:47:47,960 Speaker 1: do the dictating. He's a he's a rare breed. And UM, 843 00:47:48,000 --> 00:47:51,200 Speaker 1: I've learned a great deal from him. I would love 844 00:47:51,360 --> 00:47:58,160 Speaker 1: love love travel. I would love love love Dave. Cute 845 00:47:58,160 --> 00:48:00,440 Speaker 1: girl goes by that's got your name on it. I 846 00:48:00,480 --> 00:48:02,920 Speaker 1: can't believe you're gonna make a face with that. I 847 00:48:03,000 --> 00:48:07,680 Speaker 1: would love love love to get Bob farrellon here. He's 848 00:48:07,680 --> 00:48:11,000 Speaker 1: one of these guys that doesn't do media, doesn't speak 849 00:48:11,040 --> 00:48:15,200 Speaker 1: to the press, just cranks out with a relentless standing. 850 00:48:15,239 --> 00:48:21,160 Speaker 1: This over half a century intelligent, common sense market wisdom, 851 00:48:21,200 --> 00:48:24,759 Speaker 1: and there are so few people like that. Well, I 852 00:48:24,800 --> 00:48:27,320 Speaker 1: think what makes them even more special is the fact 853 00:48:27,360 --> 00:48:31,200 Speaker 1: that he does not make himself available to the to 854 00:48:31,280 --> 00:48:34,640 Speaker 1: the press. So maybe that adds a little to the mystery. Uh, 855 00:48:34,960 --> 00:48:40,279 Speaker 1: but um, it also makes his um, his material that 856 00:48:40,400 --> 00:48:44,760 Speaker 1: much more exclusive and therefore that much more important. He's 857 00:48:44,800 --> 00:48:47,800 Speaker 1: a fascinating guy. And I know in December during lunch 858 00:48:47,800 --> 00:48:50,160 Speaker 1: you'll you'll put in a good word for us. I'll 859 00:48:50,160 --> 00:48:54,840 Speaker 1: bring good doggy back. So we've discussed your early mentors. 860 00:48:54,880 --> 00:48:59,319 Speaker 1: We've discussed um, the three people who are who are 861 00:48:59,320 --> 00:49:03,040 Speaker 1: most influence unchil, and we've talked a bit um about 862 00:49:03,080 --> 00:49:06,800 Speaker 1: a day in the life of of a economist at Meryl, 863 00:49:06,920 --> 00:49:10,799 Speaker 1: managing up, managing down. Um, how do you like the 864 00:49:11,000 --> 00:49:14,600 Speaker 1: transition to the by side? And for lay people who 865 00:49:14,600 --> 00:49:17,160 Speaker 1: may not know the difference, the sales side is a 866 00:49:17,160 --> 00:49:22,200 Speaker 1: tendency to be transactional, commission driven. You're selling something to 867 00:49:22,360 --> 00:49:25,439 Speaker 1: a willing buyer, as opposed to the by side, where 868 00:49:25,440 --> 00:49:28,520 Speaker 1: people give you assets to manage and you go out 869 00:49:28,520 --> 00:49:31,960 Speaker 1: and buy on their behalf. So mutual funds, hedge funds, 870 00:49:32,560 --> 00:49:36,920 Speaker 1: r A s are by side, broker dealers, transactional business 871 00:49:36,680 --> 00:49:40,480 Speaker 1: are our sales sides. How did you find that transition? 872 00:49:41,640 --> 00:49:45,600 Speaker 1: What was that like? Well, I've been in the financial 873 00:49:45,640 --> 00:49:50,040 Speaker 1: business now for twenty eight years. I've been a Gluscon 874 00:49:50,160 --> 00:49:53,879 Speaker 1: chef for six. I would say that I've learned more 875 00:49:53,960 --> 00:49:56,239 Speaker 1: in the past six years of Glusk and chef as 876 00:49:56,320 --> 00:49:59,239 Speaker 1: as you said a bye side strategist and economist. I've 877 00:49:59,280 --> 00:50:01,360 Speaker 1: learned more in the past six years in the previous 878 00:50:01,400 --> 00:50:09,840 Speaker 1: twenty two combined, because I figured out how to produce 879 00:50:09,960 --> 00:50:18,200 Speaker 1: and communicate a forecast that's meaningful for somebody who manages 880 00:50:18,280 --> 00:50:20,200 Speaker 1: money for a living. And I want to let me 881 00:50:20,200 --> 00:50:22,480 Speaker 1: stop you right there. I want to reiterate what Dave 882 00:50:22,600 --> 00:50:26,520 Speaker 1: said before about this because A it was so refreshing 883 00:50:26,560 --> 00:50:30,120 Speaker 1: and be it was so important when you're and correct 884 00:50:30,120 --> 00:50:33,040 Speaker 1: me if I if I sum this up incorrectly, you're 885 00:50:33,040 --> 00:50:37,200 Speaker 1: doing beautifully so far. When you're an economist on the 886 00:50:37,239 --> 00:50:41,279 Speaker 1: sales side, you make a forecast. Your forecast is out there. 887 00:50:41,480 --> 00:50:44,239 Speaker 1: It's right or wrong, and if you get it wrong, 888 00:50:44,280 --> 00:50:47,120 Speaker 1: so what. If you get it right, so what? It 889 00:50:47,200 --> 00:50:50,920 Speaker 1: doesn't matter when you're advising people on the buy side. 890 00:50:51,840 --> 00:50:55,160 Speaker 1: It's not a black and white win or lose forecast. 891 00:50:55,760 --> 00:50:58,759 Speaker 1: It's a probability matrix with all sorts of shades of gray. 892 00:50:59,320 --> 00:51:04,480 Speaker 1: Here's my highest probability forecast, along with my this degree 893 00:51:04,520 --> 00:51:08,840 Speaker 1: of conviction. If I'm wrong, here's how I'm likely to 894 00:51:08,840 --> 00:51:11,800 Speaker 1: be wrong. And here's here's the next most likely scenario. 895 00:51:11,960 --> 00:51:15,279 Speaker 1: Here's plans C. Here's Plan D that's very different than 896 00:51:16,760 --> 00:51:19,120 Speaker 1: g d. P is gonna be three point two and 897 00:51:19,200 --> 00:51:22,000 Speaker 1: the Dow is going to be at eighteen two. You're 898 00:51:22,080 --> 00:51:25,440 Speaker 1: either dead right or dead wrong, and it's meaningless to 899 00:51:25,440 --> 00:51:29,399 Speaker 1: to an investor. Is that a fair summation? Okay? Um, yeah, 900 00:51:29,560 --> 00:51:32,360 Speaker 1: you you you're like the guy co guy over my shoulders. 901 00:51:32,400 --> 00:51:35,760 Speaker 1: So um you said that. Well, let me just add 902 00:51:35,840 --> 00:51:40,239 Speaker 1: this that in my previous you know, incarnation, I went 903 00:51:40,280 --> 00:51:43,440 Speaker 1: around the world talking to other portfolio managers at other firms, 904 00:51:43,840 --> 00:51:48,000 Speaker 1: and uh and invariably, because you're a human being, you're 905 00:51:48,000 --> 00:51:51,000 Speaker 1: going to be wrong. And I've had my share of 906 00:51:51,080 --> 00:51:54,719 Speaker 1: bad calls. When you work at a small firm and 907 00:51:54,760 --> 00:51:56,759 Speaker 1: we manage eight and a half billion dollars, we're not 908 00:51:56,960 --> 00:52:01,840 Speaker 1: Mery Lynch, Mary Lynch. You see you've got a call wrong. Um, 909 00:52:01,880 --> 00:52:05,640 Speaker 1: it really just hurt your pride when you get a 910 00:52:05,640 --> 00:52:11,360 Speaker 1: call wrong at a small firm where your clients are families. Uh, 911 00:52:11,400 --> 00:52:14,719 Speaker 1: and those are relationships that become personal. I developed some 912 00:52:14,800 --> 00:52:17,720 Speaker 1: close relationships when I was at Meryl with other portfolio managers. 913 00:52:17,719 --> 00:52:20,560 Speaker 1: Of course, they're managing money for other people, so you're 914 00:52:20,600 --> 00:52:24,640 Speaker 1: like two or three or four, you're just you're really 915 00:52:24,719 --> 00:52:30,080 Speaker 1: separated when you're actually firstly, UH, Commandment Number one O 916 00:52:30,080 --> 00:52:32,719 Speaker 1: Glaskin chef is that we own the same funds that 917 00:52:32,719 --> 00:52:35,120 Speaker 1: our clients owned, so we eat what we kill. We're 918 00:52:35,120 --> 00:52:37,839 Speaker 1: invested alongside our clients. So when I make a bad call, 919 00:52:38,640 --> 00:52:41,200 Speaker 1: I feel it on my own portfolio, but not just that. 920 00:52:41,800 --> 00:52:44,520 Speaker 1: It actually hurts more when you see the impact I 921 00:52:44,560 --> 00:52:47,480 Speaker 1: could have on your client's portfolio, because invariably it becomes 922 00:52:47,480 --> 00:52:52,879 Speaker 1: a personal relationship. Um, most of our clients are UM 923 00:52:53,040 --> 00:52:57,320 Speaker 1: high net worth. When I was at Meryl or before 924 00:52:57,360 --> 00:53:00,279 Speaker 1: that at the Bank of Montreal, I would spend most 925 00:53:00,280 --> 00:53:03,719 Speaker 1: of my time with institutional portfolio managers, and if I 926 00:53:03,719 --> 00:53:06,040 Speaker 1: ever saw high net worth clients or what they call 927 00:53:06,160 --> 00:53:08,520 Speaker 1: private clients retail clients, it would be a thousand of 928 00:53:08,520 --> 00:53:11,360 Speaker 1: them herded into a ballroom of a hotel and I 929 00:53:11,400 --> 00:53:14,000 Speaker 1: would go up and do my dog and pony show. Today, 930 00:53:14,160 --> 00:53:16,919 Speaker 1: you actually sit right across from them, face to face, 931 00:53:17,080 --> 00:53:20,320 Speaker 1: and these relationships have become personal. So when you're asking 932 00:53:20,320 --> 00:53:26,080 Speaker 1: about what the primary differences at a personal level, it's 933 00:53:26,080 --> 00:53:29,320 Speaker 1: exactly that. It's that when I get a call wrong, 934 00:53:30,400 --> 00:53:32,759 Speaker 1: I feel a little lot more. Uh. Look, when you 935 00:53:32,800 --> 00:53:35,880 Speaker 1: get these big institutions losing a client, it's rounding herror. 936 00:53:36,080 --> 00:53:39,959 Speaker 1: When we actually lose a client, you'd be amazed at 937 00:53:40,239 --> 00:53:45,000 Speaker 1: m at the uh, at the analysis that goes on afterwards, 938 00:53:45,000 --> 00:53:48,600 Speaker 1: assessing where is it that we went wrong and how 939 00:53:48,760 --> 00:53:52,520 Speaker 1: will we make the effort to not make that mistake again. 940 00:53:52,600 --> 00:53:54,719 Speaker 1: So the bottom line is that today when I make 941 00:53:54,920 --> 00:53:58,680 Speaker 1: an error, I take it more personally and I feel 942 00:53:58,719 --> 00:54:00,600 Speaker 1: it more than I did when I was a sell 943 00:54:00,680 --> 00:54:04,120 Speaker 1: side economist. That's really fascinating. You know. We had an 944 00:54:04,160 --> 00:54:08,000 Speaker 1: interesting conversation in the office today in my office today 945 00:54:08,080 --> 00:54:11,919 Speaker 1: about something very similar to what you're talking about, which 946 00:54:12,000 --> 00:54:16,680 Speaker 1: is the ministers without portfolio The people who are not 947 00:54:17,040 --> 00:54:21,879 Speaker 1: managing assets are directly working with portfolio managers, and they're 948 00:54:21,920 --> 00:54:26,400 Speaker 1: free to say as whatever outrageous thing they want to say. 949 00:54:26,600 --> 00:54:28,440 Speaker 1: I won't mention him by name on the air, but 950 00:54:28,520 --> 00:54:32,799 Speaker 1: there he's in my slide deck and someone keeps forecasting 951 00:54:32,800 --> 00:54:35,719 Speaker 1: a seven like crash. He's forecasted every year for the 952 00:54:35,760 --> 00:54:39,200 Speaker 1: past five years. Last year he felt felt the need 953 00:54:39,239 --> 00:54:41,720 Speaker 1: to step it up a notch and he said, even 954 00:54:41,760 --> 00:54:45,520 Speaker 1: worse than a seven like crash. And you could say that, 955 00:54:46,600 --> 00:54:50,360 Speaker 1: you could say that when you're not managing money, you 956 00:54:50,360 --> 00:54:53,040 Speaker 1: could be out of the market for five years when 957 00:54:53,040 --> 00:54:56,080 Speaker 1: you're not managing money, But when you're actually dealing with 958 00:54:56,200 --> 00:55:01,080 Speaker 1: families and pms or managing the money yourself, you can't 959 00:55:01,080 --> 00:55:04,160 Speaker 1: be in cash for five years. You can't be stone 960 00:55:04,160 --> 00:55:07,319 Speaker 1: throwers like that. You have to be a participant. And 961 00:55:07,360 --> 00:55:11,400 Speaker 1: if I'm hearing what you're saying correctly, being that close 962 00:55:11,719 --> 00:55:16,000 Speaker 1: to the ultimate person whose money is at risk changes 963 00:55:16,040 --> 00:55:20,360 Speaker 1: the way you view the world, changes the way you operate. Well, 964 00:55:20,400 --> 00:55:23,520 Speaker 1: you know, just uh, you know, maybe round out the discussion. 965 00:55:23,960 --> 00:55:28,960 Speaker 1: What's different that Gluskin chef for me regarding our clients 966 00:55:29,400 --> 00:55:34,600 Speaker 1: is that, um, it's more personal than it used to be. 967 00:55:35,480 --> 00:55:38,280 Speaker 1: And what does that do to impact your thought process, 968 00:55:38,320 --> 00:55:42,239 Speaker 1: impact how you look at, uh, the economy in the market. Well, look, 969 00:55:42,280 --> 00:55:47,040 Speaker 1: I always I always like to believe that that I 970 00:55:47,080 --> 00:55:49,319 Speaker 1: was on my game, but at this level, at a 971 00:55:49,360 --> 00:55:53,840 Speaker 1: personal level, when the clients actually are either family members 972 00:55:53,920 --> 00:55:59,359 Speaker 1: or friends, or they become friends who developed these personal relationships. Um, 973 00:55:59,400 --> 00:56:02,160 Speaker 1: it means that I have to sharpen my focus that 974 00:56:02,239 --> 00:56:04,840 Speaker 1: much more, all right, So let's sharpen your focus a 975 00:56:04,840 --> 00:56:08,240 Speaker 1: little bit and talk about some specific things. We didn't 976 00:56:08,239 --> 00:56:12,080 Speaker 1: get to in the broadcast portion. So we didn't get 977 00:56:12,120 --> 00:56:15,120 Speaker 1: to talk about the housing market, which is a key 978 00:56:15,200 --> 00:56:18,360 Speaker 1: part of what's going on. What do you see in 979 00:56:18,400 --> 00:56:24,480 Speaker 1: the housing market in the US and North America and globally? Okay, US, 980 00:56:24,560 --> 00:56:29,239 Speaker 1: North America, globally, well, you know, I guess that, um talk. 981 00:56:29,360 --> 00:56:31,960 Speaker 1: I'm not gonna talk about the Mexican housing market because frankly, 982 00:56:32,239 --> 00:56:34,840 Speaker 1: it has no bearing on how we invest. A Gluskin chef, 983 00:56:35,640 --> 00:56:37,800 Speaker 1: the US housing market looks very interesting to me, and 984 00:56:37,840 --> 00:56:40,399 Speaker 1: notw withstanding the fact that mortgage rates are backing up 985 00:56:40,440 --> 00:56:44,720 Speaker 1: courtesy of the Bontom market adjusting to the FED beginning 986 00:56:44,760 --> 00:56:48,879 Speaker 1: it's tightening phase, it's still very historically low, right, very 987 00:56:48,920 --> 00:56:52,040 Speaker 1: historically cheap. Well, you know that's uh. I love the narrative, 988 00:56:52,120 --> 00:56:55,600 Speaker 1: but you know, markets and the economy operate at the margins, 989 00:56:55,640 --> 00:56:57,640 Speaker 1: So it's the change that matters, not the level, and 990 00:56:57,719 --> 00:57:02,600 Speaker 1: not compared to some historical average But what's interesting is 991 00:57:02,640 --> 00:57:07,040 Speaker 1: that employment in the key UH first time home buying 992 00:57:07,280 --> 00:57:10,839 Speaker 1: cohort is running about thirty faster than is the rest 993 00:57:10,880 --> 00:57:14,040 Speaker 1: of population. So these boomerangs that have been sitting in 994 00:57:14,080 --> 00:57:18,360 Speaker 1: the basement at mon pause watching repeats of breaking bad 995 00:57:18,400 --> 00:57:21,000 Speaker 1: are now going out and um and getting into the 996 00:57:21,040 --> 00:57:24,080 Speaker 1: housing market. The interesting situation we have right now is 997 00:57:24,120 --> 00:57:27,080 Speaker 1: that the trend in household formation that also information is 998 00:57:27,160 --> 00:57:30,400 Speaker 1: running towards one and a half million units. Housing starts 999 00:57:30,440 --> 00:57:33,400 Speaker 1: are running at one point two UM. You have housing 1000 00:57:33,440 --> 00:57:36,800 Speaker 1: inventories roughly five months supply, very well balanced market. So 1001 00:57:36,960 --> 00:57:39,800 Speaker 1: I don't think that the home builders which have of 1002 00:57:39,840 --> 00:57:42,000 Speaker 1: course we've got those great numbers from Poulty and d R. 1003 00:57:42,040 --> 00:57:44,840 Speaker 1: Horden in the past forty eight hours. But the homebuilders 1004 00:57:44,840 --> 00:57:48,240 Speaker 1: are corrected fairly hard in the past several weeks. My 1005 00:57:48,360 --> 00:57:51,120 Speaker 1: senses that are they're not priced for the prospect the 1006 00:57:51,120 --> 00:57:54,600 Speaker 1: next two years of seeing residential construction rise as much 1007 00:57:54,600 --> 00:57:58,200 Speaker 1: as story in cana is a little different. Um. You know, 1008 00:57:58,320 --> 00:58:00,960 Speaker 1: housing is a share of us GDP is at a 1009 00:58:00,960 --> 00:58:04,080 Speaker 1: low level from historical proportion in Canada. You cannot possibly 1010 00:58:04,080 --> 00:58:07,440 Speaker 1: be more over housed than you are today. The story 1011 00:58:07,480 --> 00:58:10,760 Speaker 1: in the United States is one of domestic demand, consumer spending, 1012 00:58:10,800 --> 00:58:13,520 Speaker 1: capital spending, commercial construction, which by the way, is in 1013 00:58:13,520 --> 00:58:17,040 Speaker 1: an uptrend, and housing. In Canada, it's going to be 1014 00:58:17,120 --> 00:58:19,560 Speaker 1: less about housing and it's going to be more about 1015 00:58:20,360 --> 00:58:23,160 Speaker 1: the strength in US domestic demand. Don't forget Canada ships 1016 00:58:23,800 --> 00:58:28,240 Speaker 1: its GDP at the US and a competitively supercharged currency 1017 00:58:28,640 --> 00:58:31,680 Speaker 1: helping out the beleaguered manufacturing sector and exports. That would 1018 00:58:31,680 --> 00:58:34,440 Speaker 1: be the story. In Canada, You're still getting a huge 1019 00:58:34,520 --> 00:58:38,720 Speaker 1: influx of overseas buyers of real estate. I'm using Vancouver 1020 00:58:39,240 --> 00:58:42,840 Speaker 1: as an example. But is that is that Canadian my friend, 1021 00:58:42,920 --> 00:58:47,800 Speaker 1: my friend, my friend, Canadian dollar is at a discount 1022 00:58:47,840 --> 00:58:52,560 Speaker 1: of the US Canada. Canada has this giant for sale 1023 00:58:52,600 --> 00:58:55,120 Speaker 1: sign right in front of it. But Canadian, you know 1024 00:58:55,160 --> 00:58:58,760 Speaker 1: the from our perspective, Canada never had the same housing 1025 00:58:58,840 --> 00:59:02,080 Speaker 1: crash that the US had. It it kept going and going. 1026 00:59:02,160 --> 00:59:06,840 Speaker 1: Canadian home prices are fairly yet you says yeah, around, 1027 00:59:07,120 --> 00:59:11,880 Speaker 1: Canadian home prices are are fairly aggressively priced, especially in 1028 00:59:11,920 --> 00:59:16,040 Speaker 1: the in the really attractive cities. You asked about US investors, 1029 00:59:16,200 --> 00:59:18,840 Speaker 1: so you're talking about what they look like in US dollars, 1030 00:59:19,480 --> 00:59:22,800 Speaker 1: not Canadian dollars. No, No, What I'm asking is our 1031 00:59:22,920 --> 00:59:26,960 Speaker 1: overseas buyers snapping up, still snapping up all of these 1032 00:59:27,320 --> 00:59:30,200 Speaker 1: Most of the most of the buying in Vancouver is 1033 00:59:30,240 --> 00:59:32,840 Speaker 1: coming out of China. Yes, and yes, you are getting 1034 00:59:33,200 --> 00:59:37,680 Speaker 1: US buying into Canada. Canada. Is c h E A 1035 00:59:37,800 --> 00:59:41,920 Speaker 1: P for a US based investor. Very interesting, Yameron, you 1036 00:59:41,960 --> 00:59:45,080 Speaker 1: were jumping out of your chair. You disagree with Dave's 1037 00:59:45,080 --> 00:59:48,560 Speaker 1: Taklan housing. I've disagreed with Dave, and I've been wrong 1038 00:59:48,600 --> 00:59:53,920 Speaker 1: on that part for a good number of of those arguments, 1039 00:59:54,720 --> 00:59:59,320 Speaker 1: um for for well over a decade. But you know, 1040 00:59:59,400 --> 01:00:01,320 Speaker 1: I see the house is a little different. You know 1041 01:00:01,560 --> 01:00:05,320 Speaker 1: all those right now? Multi unit around a panel again, Dave, 1042 01:00:05,400 --> 01:00:09,400 Speaker 1: and multi units are are are soaring because people cannot 1043 01:00:09,400 --> 01:00:11,800 Speaker 1: afford to buy a home. Rentals way up. So the 1044 01:00:11,840 --> 01:00:14,600 Speaker 1: Boomerang kids leaving their parents basement. Are they first time 1045 01:00:14,640 --> 01:00:18,520 Speaker 1: homebuyers or are they renters? They're renting and rental rental 1046 01:00:19,720 --> 01:00:23,800 Speaker 1: units of five or more construction of new construction of 1047 01:00:23,840 --> 01:00:26,720 Speaker 1: five or more unity family are the highest since nineteen 1048 01:00:26,800 --> 01:00:31,040 Speaker 1: eighties six compared to something that if you break, if 1049 01:00:31,080 --> 01:00:32,960 Speaker 1: you pull out of that housing start number you pull 1050 01:00:33,000 --> 01:00:36,080 Speaker 1: out the single family units very different I won't even 1051 01:00:36,080 --> 01:00:38,640 Speaker 1: ask him about copper oil coast. Will all want to 1052 01:00:38,640 --> 01:00:40,840 Speaker 1: commit suicide after it? Well, like I'll say this much 1053 01:00:40,880 --> 01:00:43,600 Speaker 1: the the you know, we talked. A world doesn't revolve around. 1054 01:00:43,720 --> 01:00:47,320 Speaker 1: We talked around, We talked. We talked about Bob Ferrell 1055 01:00:47,440 --> 01:00:51,360 Speaker 1: Rule number one was everything reverts to the mean at 1056 01:00:51,400 --> 01:00:55,600 Speaker 1: least ratios, and usually that means that you break through 1057 01:00:55,600 --> 01:00:57,720 Speaker 1: the mean in both directions. When we got up to 1058 01:00:57,720 --> 01:01:01,800 Speaker 1: almost a home ownership rate back at the peaks, that 1059 01:01:01,880 --> 01:01:04,160 Speaker 1: was one extreme. Now we've gotten to the other extreme. 1060 01:01:04,200 --> 01:01:06,840 Speaker 1: We're pretty well at historic lows in the home ownership rate. 1061 01:01:06,960 --> 01:01:09,320 Speaker 1: And I'm not Yes, i am really not in the business. 1062 01:01:09,360 --> 01:01:12,400 Speaker 1: I've never made it a business to take the most 1063 01:01:12,400 --> 01:01:16,280 Speaker 1: recent experience and superimposed it into the future. My sense 1064 01:01:16,400 --> 01:01:19,920 Speaker 1: is that quite right. UM, rental construction has been very strong. 1065 01:01:20,160 --> 01:01:23,080 Speaker 1: It's been the rental demand that's been the big story. 1066 01:01:23,960 --> 01:01:27,600 Speaker 1: But UM, we have very tight apartment vacancy rates. Rents. 1067 01:01:27,920 --> 01:01:30,240 Speaker 1: One of the reasons why core service inflation is as 1068 01:01:30,280 --> 01:01:32,560 Speaker 1: strong as it's been is because of rents. So the 1069 01:01:32,640 --> 01:01:35,480 Speaker 1: rent home price ratio is altered in a certain respect. 1070 01:01:35,880 --> 01:01:38,480 Speaker 1: We are starting to get income growth, and I'm making 1071 01:01:38,520 --> 01:01:42,640 Speaker 1: this point that the key first time home buyer category, 1072 01:01:42,760 --> 01:01:45,880 Speaker 1: twenty five to thirty four year olds. Their growth of 1073 01:01:45,960 --> 01:01:49,480 Speaker 1: employment in the past year is running thirty, not thirteen, 1074 01:01:50,640 --> 01:01:53,360 Speaker 1: faster than it is for the rest of the population. Now, 1075 01:01:53,400 --> 01:01:56,040 Speaker 1: there are lags involved, but with a lag they will 1076 01:01:56,040 --> 01:02:00,880 Speaker 1: for themselves into homeowner household units and I think that 1077 01:02:01,000 --> 01:02:02,680 Speaker 1: is going to be the next leg of the housing market. Now. 1078 01:02:02,720 --> 01:02:05,760 Speaker 1: I want to give you props about that, because not 1079 01:02:05,840 --> 01:02:09,720 Speaker 1: this summer, the previous summer, you, in a presentation at 1080 01:02:09,720 --> 01:02:14,400 Speaker 1: Camp Coo Talk up in Maine, talked about the building 1081 01:02:14,800 --> 01:02:20,959 Speaker 1: demand for for employees and the future wage push which 1082 01:02:21,160 --> 01:02:24,040 Speaker 1: was a couple of quarters away and year of a 1083 01:02:24,120 --> 01:02:26,640 Speaker 1: year we see up two point five percent in US wages. 1084 01:02:27,120 --> 01:02:30,600 Speaker 1: You talked about that before anybody else was speaking about it, 1085 01:02:30,960 --> 01:02:33,720 Speaker 1: and you got it right. You said, it's inevitable that 1086 01:02:33,800 --> 01:02:35,960 Speaker 1: we're going to start to see wage pressures. You can 1087 01:02:36,080 --> 01:02:39,760 Speaker 1: have this sort of GDP activity and this title labor 1088 01:02:39,800 --> 01:02:43,560 Speaker 1: market without seeing that sort of shift that plays into 1089 01:02:43,600 --> 01:02:46,960 Speaker 1: that first time home buyers. What does that going forward 1090 01:02:47,040 --> 01:02:50,240 Speaker 1: for the economy. Well, look, it's a uh, it's a 1091 01:02:50,240 --> 01:02:52,840 Speaker 1: bit of a double let sword because for the equity 1092 01:02:52,880 --> 01:02:55,440 Speaker 1: market will have to get used to living with with 1093 01:02:55,440 --> 01:02:58,240 Speaker 1: with probably lower profit margins, doesn't mean that the market's 1094 01:02:58,280 --> 01:03:01,600 Speaker 1: going down, but that will be like straint um because 1095 01:03:01,600 --> 01:03:03,720 Speaker 1: there's only two sources of income in the economy. The 1096 01:03:03,760 --> 01:03:07,920 Speaker 1: government doesn't create income taxes it, but there's corporate income 1097 01:03:07,960 --> 01:03:10,560 Speaker 1: and then there's labor income. Labor income is picking up 1098 01:03:10,600 --> 01:03:13,000 Speaker 1: across almost every measure. This is actually a debate. If 1099 01:03:13,000 --> 01:03:15,880 Speaker 1: you remember a camp Co talk with me and Philippa Donne, 1100 01:03:16,240 --> 01:03:19,040 Speaker 1: who absolutely love and I think she is the resident 1101 01:03:19,120 --> 01:03:23,880 Speaker 1: labor that's right, you know. And um, what I'll say 1102 01:03:24,080 --> 01:03:27,480 Speaker 1: is what I was focusing on back then was this 1103 01:03:27,880 --> 01:03:31,800 Speaker 1: one are Keen statistic called a quit rate that we 1104 01:03:31,840 --> 01:03:34,360 Speaker 1: know that only green Span I've looked at repeatedly, like 1105 01:03:34,640 --> 01:03:36,880 Speaker 1: twenty three years ago, which is the percentage of the 1106 01:03:36,960 --> 01:03:40,480 Speaker 1: unemployed that are quitting their jobs voluntarily in search of 1107 01:03:40,520 --> 01:03:44,040 Speaker 1: greener pastures elsewhere. It's basically what I call the take 1108 01:03:44,120 --> 01:03:47,720 Speaker 1: this job in shove it index, and it's a reflection 1109 01:03:47,720 --> 01:03:53,000 Speaker 1: to some extent of worker uh insecurity or alternatively worker confidence. 1110 01:03:53,040 --> 01:03:58,760 Speaker 1: You see, everybody focuses, everybody focuses on the on the 1111 01:03:58,840 --> 01:04:02,520 Speaker 1: unemployment rate, the classic measures of tightness in the labor market. 1112 01:04:02,520 --> 01:04:04,680 Speaker 1: Everybody's always saying, well, the unemployment rate has gone from 1113 01:04:04,760 --> 01:04:07,760 Speaker 1: ten percent to five percent. No matter what measure you 1114 01:04:07,800 --> 01:04:10,600 Speaker 1: want to use, they've all come down rather significantly, even 1115 01:04:10,640 --> 01:04:13,800 Speaker 1: the broader measures. And yet up until recently, there hasn't 1116 01:04:13,880 --> 01:04:17,800 Speaker 1: been a big wage response because what these classic measures 1117 01:04:17,880 --> 01:04:24,920 Speaker 1: of resource um uh, utilization capacity and labor market they 1118 01:04:25,000 --> 01:04:28,360 Speaker 1: don't show is how comfortable you are going to your 1119 01:04:28,400 --> 01:04:33,200 Speaker 1: boss asking for a race. It doesn't measure insecurity. What's 1120 01:04:33,240 --> 01:04:35,400 Speaker 1: happening is at this quit rate, and it went up 1121 01:04:35,440 --> 01:04:37,520 Speaker 1: again in the last month, which correct me if I'm wrong. 1122 01:04:37,560 --> 01:04:40,320 Speaker 1: I think it's almost a ten percent, the quit rates rising. 1123 01:04:40,640 --> 01:04:42,479 Speaker 1: And when I was having that debate a year ago, 1124 01:04:42,640 --> 01:04:45,960 Speaker 1: I was saying, the quit raids rising, that actually is 1125 01:04:46,200 --> 01:04:50,120 Speaker 1: the best leading indicator for wages. But you see the question, well, 1126 01:04:50,160 --> 01:04:53,400 Speaker 1: the question, like everything else, is always the lags, and 1127 01:04:53,440 --> 01:04:57,800 Speaker 1: how long does it take for the information that the 1128 01:04:57,920 --> 01:05:04,520 Speaker 1: working class has um better prospects uh than they actually think. 1129 01:05:04,560 --> 01:05:07,120 Speaker 1: You see that the labor market is not like commodities, 1130 01:05:07,440 --> 01:05:10,480 Speaker 1: and it's not like stocks or bonds. You're talking about people, 1131 01:05:11,400 --> 01:05:14,760 Speaker 1: and so at what point do people start to realize that, hey, 1132 01:05:15,160 --> 01:05:18,160 Speaker 1: my market for labor is actually tighter. I actually have 1133 01:05:18,280 --> 01:05:20,200 Speaker 1: the confidence now to go to my boss and ask 1134 01:05:20,240 --> 01:05:23,200 Speaker 1: for a raise. So the quit rate is actually a 1135 01:05:23,280 --> 01:05:26,640 Speaker 1: great When you plot the quit rate against wage growth, 1136 01:05:27,360 --> 01:05:30,400 Speaker 1: you might aso plot income and consumption, but the legs 1137 01:05:30,440 --> 01:05:34,240 Speaker 1: were longer this time around, so we are actually now 1138 01:05:34,360 --> 01:05:38,720 Speaker 1: starting to see more discernible science. Look bottom line, look 1139 01:05:38,760 --> 01:05:40,640 Speaker 1: at the n f I B index that just came out, 1140 01:05:40,680 --> 01:05:43,320 Speaker 1: the Small Business Index, and you've got that the net 1141 01:05:43,440 --> 01:05:46,760 Speaker 1: share of companies saying they're going to raise compensation in 1142 01:05:46,800 --> 01:05:49,120 Speaker 1: the next six months at its highest level for the cycle. 1143 01:05:49,640 --> 01:05:52,880 Speaker 1: So one of the metrics that I used to track 1144 01:05:53,200 --> 01:05:57,240 Speaker 1: UM was the Jolts Index. It's the job opening, labor 1145 01:05:57,440 --> 01:06:03,280 Speaker 1: turnover whatever of A and UM. How how parallel is 1146 01:06:03,320 --> 01:06:05,960 Speaker 1: that to UM? You take this job in shoving in 1147 01:06:06,000 --> 01:06:12,560 Speaker 1: depth in terms of what we're seeing, uh, employee confidence, 1148 01:06:13,320 --> 01:06:17,280 Speaker 1: availability of better jobs, wage wage pressures. Well, how do 1149 01:06:17,320 --> 01:06:22,200 Speaker 1: you contentionalize that looks? So for example, you said before 1150 01:06:22,320 --> 01:06:27,280 Speaker 1: that we quotes created a net two and seventy one jobs, 1151 01:06:28,200 --> 01:06:31,560 Speaker 1: uh say, in the month of October. What's missing in 1152 01:06:31,560 --> 01:06:37,040 Speaker 1: that comment is that we destroyed millions of jobs and 1153 01:06:37,080 --> 01:06:40,280 Speaker 1: we created millions of jobs, and then that number was 1154 01:06:40,320 --> 01:06:43,320 Speaker 1: to seventy one so what you're missing is the churning 1155 01:06:43,760 --> 01:06:47,880 Speaker 1: that goes below the surface of that headline number. So 1156 01:06:47,920 --> 01:06:50,800 Speaker 1: the Jolts number is valuable because it tells you what 1157 01:06:50,920 --> 01:06:53,080 Speaker 1: that churning. Well, it looks like how many people are 1158 01:06:53,120 --> 01:06:57,320 Speaker 1: actually quitting their jobs, how many people are getting fired 1159 01:06:57,360 --> 01:07:01,600 Speaker 1: from their jobs, how many people are getting hired. So 1160 01:07:01,760 --> 01:07:05,120 Speaker 1: it gives you, UM, you know that the churning. So 1161 01:07:05,160 --> 01:07:08,400 Speaker 1: we know, for example, that through the Jolts numbers that 1162 01:07:08,560 --> 01:07:11,080 Speaker 1: most of the improvement in labor market this cycle did 1163 01:07:11,080 --> 01:07:13,840 Speaker 1: not come from new hires as much as it came 1164 01:07:13,840 --> 01:07:17,640 Speaker 1: from a lack of firing. Uh. Companies have begun to 1165 01:07:17,720 --> 01:07:20,600 Speaker 1: hoard labor. The firing rate is extremely low, by the way, 1166 01:07:20,680 --> 01:07:24,880 Speaker 1: corroborted by what we're seeing in the job is claimed numbers. UH. 1167 01:07:24,920 --> 01:07:28,040 Speaker 1: What I always like to look at UM was always 1168 01:07:28,120 --> 01:07:33,600 Speaker 1: the UH the the the the number of of people 1169 01:07:33,760 --> 01:07:40,960 Speaker 1: that UM that are unemployed, UH normalized by the number 1170 01:07:40,960 --> 01:07:43,320 Speaker 1: of new hires. And I was telling me, actually that 1171 01:07:43,480 --> 01:07:45,600 Speaker 1: taking out all the other noise and adjusting for the 1172 01:07:45,640 --> 01:07:50,840 Speaker 1: labor force, that the labor market was tightening significantly. The 1173 01:07:50,960 --> 01:07:53,960 Speaker 1: question all along was which nobody, I mean people? And actually, 1174 01:07:54,000 --> 01:07:56,000 Speaker 1: if you take a look at the title of my 1175 01:07:56,480 --> 01:07:59,680 Speaker 1: of my employment report last week was, uh, you know, 1176 01:08:00,400 --> 01:08:04,840 Speaker 1: the Phillips curve comes back from the grave, maybe appropos 1177 01:08:04,880 --> 01:08:08,560 Speaker 1: because of Halloween that people were throwing out the Phillips 1178 01:08:08,600 --> 01:08:11,600 Speaker 1: curve as a as a as something you can hang 1179 01:08:11,600 --> 01:08:16,160 Speaker 1: your hat on. All that separated the tightening of labor, 1180 01:08:16,160 --> 01:08:19,479 Speaker 1: more conditions to the wage rate or the lags, and 1181 01:08:19,840 --> 01:08:24,439 Speaker 1: and basically, uh, the level of worker in security that 1182 01:08:24,479 --> 01:08:28,280 Speaker 1: existed through most of the cycle. We seem to be shedding, Uh, 1183 01:08:28,400 --> 01:08:31,960 Speaker 1: those fears. The proletariat seems to be a little more 1184 01:08:32,000 --> 01:08:35,400 Speaker 1: emboldened right now, and so wages are now with a 1185 01:08:35,479 --> 01:08:39,360 Speaker 1: longer legs, starting to respond. So you alluded to, but 1186 01:08:39,479 --> 01:08:43,320 Speaker 1: we didn't talk about the change in the labor force 1187 01:08:43,360 --> 01:08:47,000 Speaker 1: participation rate. Is that a secular factor that we've been 1188 01:08:47,000 --> 01:08:50,800 Speaker 1: losing people for demographic and global trade reasons or is 1189 01:08:50,840 --> 01:08:53,840 Speaker 1: there something more significant thing now? There's Look, there's two things. 1190 01:08:53,840 --> 01:08:57,400 Speaker 1: There's the first of the boomers turn sixty two thousand eleven, 1191 01:08:57,400 --> 01:08:59,760 Speaker 1: and that's going to be reality for decades, and so 1192 01:08:59,800 --> 01:09:03,240 Speaker 1: the the demographic element to it. Second, early we've created, 1193 01:09:03,280 --> 01:09:08,760 Speaker 1: through municipal, state, federal benefits, um a whole myriad of 1194 01:09:08,840 --> 01:09:12,720 Speaker 1: incentives for people to leave the labor force um where 1195 01:09:12,760 --> 01:09:16,040 Speaker 1: you get paid very well not to work? How well 1196 01:09:16,080 --> 01:09:17,880 Speaker 1: do you get paid not to work? I mean, it 1197 01:09:18,200 --> 01:09:20,479 Speaker 1: is some money there, but it's not like earning a 1198 01:09:20,520 --> 01:09:25,000 Speaker 1: real living. Can you really live comfortably on on disability? 1199 01:09:25,160 --> 01:09:26,799 Speaker 1: And if you add up, if you add up everything, 1200 01:09:26,840 --> 01:09:30,280 Speaker 1: I think that the Cato Institute did a report. All right, 1201 01:09:30,439 --> 01:09:33,360 Speaker 1: so that's strike one, but keep going. But but there's 1202 01:09:33,360 --> 01:09:37,320 Speaker 1: be another, uh scholarly research showing that the incentive systems, 1203 01:09:37,320 --> 01:09:40,799 Speaker 1: whether it's not just disability, but Medicare benefits and childcare 1204 01:09:40,840 --> 01:09:43,639 Speaker 1: benefits and look, you go back to work these days, Barry, 1205 01:09:43,800 --> 01:09:46,559 Speaker 1: and you give up a lot of benefits and some 1206 01:09:46,600 --> 01:09:49,160 Speaker 1: of the numbers I've seen or as high as forty dollars, 1207 01:09:49,160 --> 01:09:51,040 Speaker 1: like you've really got a bit up the wages to 1208 01:09:51,120 --> 01:09:52,960 Speaker 1: get people to come back in the labor market. And 1209 01:09:52,960 --> 01:09:54,920 Speaker 1: that's why it doesn't happen. Now, maybe you'll start to 1210 01:09:54,960 --> 01:09:57,400 Speaker 1: get maybe if the wage rate starts to come back, 1211 01:09:57,479 --> 01:10:00,559 Speaker 1: which it looks like it's happening, the participation rates starts 1212 01:10:00,560 --> 01:10:03,360 Speaker 1: to be a comeback, and the unemployermate stops going down. 1213 01:10:03,439 --> 01:10:06,559 Speaker 1: I think that's a reasonable premise um. But there's no 1214 01:10:06,680 --> 01:10:09,439 Speaker 1: question and whether you agree with the kido in student 1215 01:10:09,520 --> 01:10:11,439 Speaker 1: or not. They did show that. I think in thirty 1216 01:10:11,479 --> 01:10:16,520 Speaker 1: eight states you make more by tapping all the benefits 1217 01:10:17,040 --> 01:10:20,840 Speaker 1: at all levels of government then you do as a 1218 01:10:20,920 --> 01:10:25,080 Speaker 1: starting salary as an admit assistant thirty eight states. So look, 1219 01:10:25,080 --> 01:10:26,479 Speaker 1: you can say the kid and stut they have a 1220 01:10:26,479 --> 01:10:29,240 Speaker 1: certain extra grind um. But you know, unless you did 1221 01:10:29,840 --> 01:10:32,040 Speaker 1: I certainly implied it. You implied it. But unless you've 1222 01:10:32,040 --> 01:10:34,439 Speaker 1: done your own research, you know it's But but there's 1223 01:10:34,479 --> 01:10:38,320 Speaker 1: been other um, there's been other analysis done that's come 1224 01:10:38,360 --> 01:10:42,840 Speaker 1: to similar conclusions that you could really cry if you're 1225 01:10:42,840 --> 01:10:46,280 Speaker 1: on full disability, you can really crank up. Don't forget, 1226 01:10:46,439 --> 01:10:49,160 Speaker 1: don't forget. In two thousands and thirteen we had a 1227 01:10:49,160 --> 01:10:53,120 Speaker 1: fairly certificly increase in tax rates on income. The reality 1228 01:10:53,200 --> 01:10:55,160 Speaker 1: is a space economics. The more you at tax, the 1229 01:10:55,200 --> 01:10:58,240 Speaker 1: less supply you'll get your tax work, you'll get less work. 1230 01:10:58,840 --> 01:11:02,000 Speaker 1: So there's a marginal jersey is you know you're telling 1231 01:11:02,000 --> 01:11:04,360 Speaker 1: me someone's not going to take a starting job because 1232 01:11:04,439 --> 01:11:08,479 Speaker 1: they're they're Capital gains tax went up to from fifteen. 1233 01:11:08,560 --> 01:11:12,760 Speaker 1: That's a calf gains tax. The marginal increase just like 1234 01:11:12,800 --> 01:11:15,840 Speaker 1: the marginal decrease. Is someone going to say, well, you know, 1235 01:11:15,880 --> 01:11:17,840 Speaker 1: I used to be taxed at thirty six, but now 1236 01:11:17,880 --> 01:11:19,960 Speaker 1: it's thirty eight. I'm not going to start a new job. 1237 01:11:20,400 --> 01:11:26,439 Speaker 1: I've always thought that behavioral aspect of it was wildly overstated. So, Barry, 1238 01:11:26,479 --> 01:11:30,040 Speaker 1: you asked the question and you answered it yourself. So 1239 01:11:30,240 --> 01:11:32,439 Speaker 1: what what's your just Well, I'm trying to give you 1240 01:11:32,439 --> 01:11:34,840 Speaker 1: an answer, but you're answering it yourself. The answer is 1241 01:11:34,880 --> 01:11:39,759 Speaker 1: that it's mostly structural, largely demographic, largely related to uh, 1242 01:11:39,800 --> 01:11:41,479 Speaker 1: you know, look at if you don't like my answer, 1243 01:11:41,520 --> 01:11:43,840 Speaker 1: get Larry lindsay On here. We gave a presentation at 1244 01:11:43,880 --> 01:11:47,000 Speaker 1: this I saw his presentation two years ago. Get Peter 1245 01:11:47,040 --> 01:11:50,439 Speaker 1: book for On here and get Larry lindsay So again 1246 01:11:50,479 --> 01:11:53,120 Speaker 1: him to show you the press. Peter, well, yeah, I 1247 01:11:53,120 --> 01:11:58,200 Speaker 1: mean you were making faces, So well, hold on. You 1248 01:11:58,200 --> 01:12:01,559 Speaker 1: can't conduct an interview by cutting the person you're asking. Okay, 1249 01:12:01,600 --> 01:12:04,880 Speaker 1: I think that's where you're wrong. Said okay, well you 1250 01:12:04,920 --> 01:12:06,760 Speaker 1: as well. At first you asked a question, then you 1251 01:12:06,800 --> 01:12:09,800 Speaker 1: answered to yourself. So it's a good thing. It's a 1252 01:12:09,800 --> 01:12:13,080 Speaker 1: good thing we're friends. The answer is that it's mostly structural. 1253 01:12:13,280 --> 01:12:17,360 Speaker 1: They're mostly mostly changes and if you actually take a 1254 01:12:17,360 --> 01:12:19,200 Speaker 1: look at at the and actually the beauty of the 1255 01:12:19,240 --> 01:12:22,080 Speaker 1: household survey is it does show you the discouraged workers, 1256 01:12:22,640 --> 01:12:25,040 Speaker 1: and they've been going down. So it's not the number 1257 01:12:25,120 --> 01:12:28,240 Speaker 1: of discouraged workers has been going down. Didn't I just 1258 01:12:28,280 --> 01:12:30,639 Speaker 1: say that. I'm repeating it for people who didn't understand. 1259 01:12:30,960 --> 01:12:33,559 Speaker 1: So let's let's talk about you six, because we haven't 1260 01:12:33,600 --> 01:12:37,559 Speaker 1: gotten there. Last report under ten percent for the first 1261 01:12:37,600 --> 01:12:42,120 Speaker 1: time in who knows how long, how long? Oh? Nine, 1262 01:12:42,240 --> 01:12:45,639 Speaker 1: that's a huge drop because people have been screaming about, well, 1263 01:12:45,680 --> 01:12:47,880 Speaker 1: you know, there's still a lot of people who want 1264 01:12:47,920 --> 01:12:51,000 Speaker 1: to work, but they're discouraged under ten percent nine points something. 1265 01:12:51,160 --> 01:12:53,839 Speaker 1: Look look look at the at the at the narrower measures, 1266 01:12:53,880 --> 01:12:55,240 Speaker 1: like the U one and you two is down to 1267 01:12:55,320 --> 01:12:59,640 Speaker 1: two and a berry. We can slice this and dice this. 1268 01:12:59,760 --> 01:13:04,000 Speaker 1: I'm billion ways. The labor market is tight and it's tightening. 1269 01:13:04,479 --> 01:13:07,360 Speaker 1: And the only thing that's separated the tightening to wage 1270 01:13:07,360 --> 01:13:11,000 Speaker 1: growth was the level of worker insecurity, which is measured 1271 01:13:11,040 --> 01:13:15,200 Speaker 1: by the quit right, which is going up. So workers 1272 01:13:15,200 --> 01:13:19,080 Speaker 1: are starting to feel emboldened. If you go to the 1273 01:13:19,080 --> 01:13:22,760 Speaker 1: Conference Board Consumer Confidence Survey and you see the percentage 1274 01:13:22,760 --> 01:13:25,240 Speaker 1: of people expecting their income to go up in the 1275 01:13:25,280 --> 01:13:28,479 Speaker 1: next year. That ratio is going up. If you go 1276 01:13:28,560 --> 01:13:30,880 Speaker 1: to the National Federation have been a business to their 1277 01:13:30,960 --> 01:13:34,639 Speaker 1: survey showing companies willingness to start to pay people more money, 1278 01:13:35,240 --> 01:13:39,720 Speaker 1: that ratio is going up. So the stars are aligning 1279 01:13:40,240 --> 01:13:42,600 Speaker 1: that in the coming year, wage growth is going to 1280 01:13:42,640 --> 01:13:45,439 Speaker 1: be accelerating. The question really is going to be by 1281 01:13:45,439 --> 01:13:49,160 Speaker 1: how much? So what does that mean for future inflation? 1282 01:13:49,600 --> 01:13:53,160 Speaker 1: Is the Fed behind the curve? Are they endangered twelve 1283 01:13:53,160 --> 01:13:56,240 Speaker 1: months from now of not recognizing this? Tell me what 1284 01:13:56,320 --> 01:13:59,000 Speaker 1: this wage pressure is gonna mean one year from now. Well, 1285 01:13:59,120 --> 01:14:06,920 Speaker 1: I never believed that that wages lead inflation. Um. My 1286 01:14:07,080 --> 01:14:09,880 Speaker 1: sense is that there's going to be offsetting forces from 1287 01:14:09,880 --> 01:14:12,920 Speaker 1: the lagged impact of the strong dollar. The weakness and 1288 01:14:13,000 --> 01:14:17,400 Speaker 1: commodity prices is going to ensure that of the CPI 1289 01:14:17,600 --> 01:14:21,479 Speaker 1: that is goods oriented will remain very low or maybe 1290 01:14:21,479 --> 01:14:24,200 Speaker 1: in mild deflation. I think we will continue to see 1291 01:14:24,200 --> 01:14:28,000 Speaker 1: service sector inflation. My sense is that you know, inflation 1292 01:14:28,040 --> 01:14:30,800 Speaker 1: is zero right now. A year from now, I think 1293 01:14:30,800 --> 01:14:33,280 Speaker 1: it'll be one and a half to two percent. Is 1294 01:14:33,320 --> 01:14:37,720 Speaker 1: that behind that's increase? My friend? We don't have to 1295 01:14:37,680 --> 01:14:39,840 Speaker 1: two percent? Is like nirvana. I mean, don't forget there's 1296 01:14:39,880 --> 01:14:42,000 Speaker 1: the FED wants it to two, and there's some on 1297 01:14:42,040 --> 01:14:45,280 Speaker 1: the left side of the equation that wanted towards three. Well, 1298 01:14:45,280 --> 01:14:46,880 Speaker 1: I'm not looking at the level. I'm looking at the 1299 01:14:46,920 --> 01:14:48,960 Speaker 1: marginal change. Well, don't forget that. A lot of the 1300 01:14:48,960 --> 01:14:51,519 Speaker 1: reason why we're zero is because of commodity prices. Unless 1301 01:14:51,520 --> 01:14:53,720 Speaker 1: you think oil's gonna go down another fifty from here, 1302 01:14:53,720 --> 01:14:55,920 Speaker 1: we're not gonna get that out of thrust. I think 1303 01:14:55,920 --> 01:14:57,960 Speaker 1: oil is gonna be stuck in a arrange between forty 1304 01:14:57,960 --> 01:14:59,800 Speaker 1: and six. So then what happens that is that in 1305 01:15:00,000 --> 01:15:03,120 Speaker 1: and the dollar impact will dissipate over time. Goods inflation 1306 01:15:03,120 --> 01:15:05,320 Speaker 1: will no longer be minus for it will be zero. 1307 01:15:06,240 --> 01:15:09,599 Speaker 1: Core server sector inflation probably gets up towards three percent. 1308 01:15:09,680 --> 01:15:11,519 Speaker 1: Put in the Martini shaker and it comes out to 1309 01:15:11,640 --> 01:15:15,080 Speaker 1: roughly one and a half two percent underlying inflation. And 1310 01:15:15,240 --> 01:15:17,400 Speaker 1: uh yeah, I guess if you're long duration bonds, you're 1311 01:15:17,400 --> 01:15:19,519 Speaker 1: not gonna like to hear that story. But it actually 1312 01:15:19,560 --> 01:15:21,840 Speaker 1: isn't a bad overall story for the economy. You're telling 1313 01:15:21,840 --> 01:15:26,680 Speaker 1: a goldilocks scenario of full employment, rising wages, low inflation. Well, 1314 01:15:26,720 --> 01:15:29,639 Speaker 1: I don't like Goldilocks because the story also had three bears. 1315 01:15:31,120 --> 01:15:33,560 Speaker 1: I'm one of them. That's right, he's still one of 1316 01:15:33,600 --> 01:15:36,840 Speaker 1: the bears. Are still in here, all right? We touched 1317 01:15:36,840 --> 01:15:41,719 Speaker 1: on housing, we touched on inflation. Um During the panel 1318 01:15:42,080 --> 01:15:47,400 Speaker 1: discussion in UH in Miami, you described what you thought 1319 01:15:47,520 --> 01:15:50,799 Speaker 1: was going on at the Federal Reserve in great detail, 1320 01:15:51,400 --> 01:15:54,840 Speaker 1: but with a very abbreviated answer because there were four 1321 01:15:54,880 --> 01:15:58,360 Speaker 1: people on the panel. I want to delve back into that. 1322 01:15:58,760 --> 01:16:02,519 Speaker 1: Let's talk a little bit about Janet yelling and what's 1323 01:16:02,560 --> 01:16:07,439 Speaker 1: going on at the FED and what's the thought process here. 1324 01:16:07,479 --> 01:16:10,120 Speaker 1: I know we briefly touched on it, but you gave 1325 01:16:10,160 --> 01:16:13,240 Speaker 1: an answer as to what you see over the next 1326 01:16:13,240 --> 01:16:18,080 Speaker 1: twelve months? Is it? Is it every third meeting? Tell 1327 01:16:18,120 --> 01:16:21,360 Speaker 1: me what you see happening, uh, over the next twelve months. 1328 01:16:21,360 --> 01:16:24,600 Speaker 1: As soon we get a quarter point increase December? What 1329 01:16:24,680 --> 01:16:30,160 Speaker 1: does look like from the data dependent FEDS perspective? My 1330 01:16:30,280 --> 01:16:36,320 Speaker 1: sense is that, uh, they'll probably skip every other meeting. 1331 01:16:36,600 --> 01:16:40,880 Speaker 1: Like in other words, could I see them going a 1332 01:16:41,000 --> 01:16:44,040 Speaker 1: hundred basis points next year? Once a quarter? In other words, 1333 01:16:44,200 --> 01:16:46,920 Speaker 1: I could see that, and and then I you know, 1334 01:16:47,120 --> 01:16:49,439 Speaker 1: and and then little we'll see what happens going forward. 1335 01:16:49,479 --> 01:16:51,920 Speaker 1: You what you're asking about being behind the curve, It's 1336 01:16:52,640 --> 01:16:57,040 Speaker 1: always answer that question through the rear view mirror, and 1337 01:16:58,040 --> 01:17:00,960 Speaker 1: I would say that, um, you know they the tips, 1338 01:17:01,000 --> 01:17:05,120 Speaker 1: break even levels will give you some indication. The steepness 1339 01:17:05,160 --> 01:17:07,919 Speaker 1: of the yield curve will give you some indication. Commandity 1340 01:17:08,000 --> 01:17:11,479 Speaker 1: prices will give you some indication. The dollar will give 1341 01:17:11,479 --> 01:17:14,040 Speaker 1: you some indication. A whole range of variables will tell 1342 01:17:14,080 --> 01:17:17,000 Speaker 1: you if the FED is behind the curve. Classically, if 1343 01:17:17,000 --> 01:17:19,080 Speaker 1: you go through a bare steepen or of the Yelk curve, 1344 01:17:19,520 --> 01:17:21,519 Speaker 1: that would be a classic sign of the Feds behind 1345 01:17:21,520 --> 01:17:23,840 Speaker 1: the curve and we're not there. What do you think 1346 01:17:23,880 --> 01:17:28,439 Speaker 1: is the most hated sector of the market these days? Oh, 1347 01:17:28,479 --> 01:17:31,160 Speaker 1: the most hated sector of the market, Well, I would 1348 01:17:31,160 --> 01:17:35,120 Speaker 1: say that the part of the world that is most 1349 01:17:35,120 --> 01:17:38,040 Speaker 1: out of favor right now is my beloved country, Canada. 1350 01:17:38,560 --> 01:17:42,840 Speaker 1: I've never seen the Canadian banks with such a huge 1351 01:17:42,880 --> 01:17:45,519 Speaker 1: short position by the US hedge funds. I've never seen. 1352 01:17:45,960 --> 01:17:48,240 Speaker 1: I can't pick up a newspaper and not hear about 1353 01:17:49,320 --> 01:17:54,600 Speaker 1: how energy will drag Canada into a pernicious and perennial recession, 1354 01:17:54,680 --> 01:17:58,799 Speaker 1: how housing is dramatically overvalued and destined for a collapse. Um, 1355 01:17:58,840 --> 01:18:01,960 Speaker 1: I would say that the last time I remember the 1356 01:18:02,120 --> 01:18:04,880 Speaker 1: view on Canada and I think it's way overdone by 1357 01:18:04,880 --> 01:18:08,559 Speaker 1: the way. Um, the last time I had the view 1358 01:18:08,560 --> 01:18:10,200 Speaker 1: in Canada was this negative. I think you have to 1359 01:18:10,240 --> 01:18:12,360 Speaker 1: go back to the early to mid nineties when Canada 1360 01:18:12,439 --> 01:18:15,519 Speaker 1: was truly a fiscal basket case. We almost had a 1361 01:18:15,520 --> 01:18:18,760 Speaker 1: failed auction in and of course we had the Quebec refredum, 1362 01:18:18,800 --> 01:18:22,040 Speaker 1: so we had the political uncertainty. Um. But Canada right 1363 01:18:22,080 --> 01:18:27,040 Speaker 1: now standalone. Um, if you're a value investor looking for 1364 01:18:27,080 --> 01:18:31,320 Speaker 1: a turnaround situation, Canada looks very good to me right now. 1365 01:18:31,840 --> 01:18:35,519 Speaker 1: You like Canada here and you think that's a it's 1366 01:18:35,560 --> 01:18:40,760 Speaker 1: a investment. I say that it is a You know, 1367 01:18:41,479 --> 01:18:50,200 Speaker 1: if I love the baritone Homediveland that is Richie Amarone 1368 01:18:50,479 --> 01:18:55,240 Speaker 1: on vocals. I think Canada, I think Canada is a 1369 01:18:56,640 --> 01:19:03,080 Speaker 1: is going to be by definition an upside surprise. Yes. 1370 01:19:03,280 --> 01:19:07,599 Speaker 1: So that that assumes that no major disruption. Oil firms 1371 01:19:07,680 --> 01:19:11,400 Speaker 1: continues to uh, you know what the key Once again, 1372 01:19:11,600 --> 01:19:15,400 Speaker 1: as I said, before, you know, the Saudis told the 1373 01:19:15,400 --> 01:19:18,080 Speaker 1: shale guys in the US, you are the swing producer. 1374 01:19:18,360 --> 01:19:21,560 Speaker 1: When I see exploration and drilling activity down six in 1375 01:19:21,600 --> 01:19:24,280 Speaker 1: the US your vie and again, well, and there's lags. 1376 01:19:24,439 --> 01:19:27,240 Speaker 1: People may be surprised that a year from now we're 1377 01:19:27,280 --> 01:19:30,760 Speaker 1: more in a fifty sixty dollar range can and dollar 1378 01:19:30,800 --> 01:19:33,640 Speaker 1: will responding kind Uh, there'll be a lagged impact on 1379 01:19:33,680 --> 01:19:37,479 Speaker 1: all these concerns on energy credits, regarding the Canadian banks. Um, 1380 01:19:37,720 --> 01:19:42,040 Speaker 1: and don't forget that, you know, this new Liberal government. Uh, 1381 01:19:42,040 --> 01:19:46,760 Speaker 1: that's question, that's right justin Trudeau, but not about him, 1382 01:19:46,760 --> 01:19:49,479 Speaker 1: but what his economics team and the choice of Bill 1383 01:19:49,560 --> 01:19:53,800 Speaker 1: Murnau as finance minister, which well, I know it's not 1384 01:19:53,880 --> 01:19:57,720 Speaker 1: surprising it very Americans. It's a surprise. Well, you know, 1385 01:19:57,880 --> 01:19:59,640 Speaker 1: I don't even know if Americans even knew who he was. 1386 01:20:00,240 --> 01:20:02,800 Speaker 1: Most most Americans, most Americans don't even know what the 1387 01:20:02,800 --> 01:20:07,720 Speaker 1: auto was. The capital so it's Toronto. So you're you 1388 01:20:08,360 --> 01:20:11,000 Speaker 1: because when we first were talking about Trudeau getting elected, 1389 01:20:11,040 --> 01:20:13,800 Speaker 1: I know you were not enthralled with that. But this 1390 01:20:13,840 --> 01:20:17,840 Speaker 1: seems fairly constructive that uh you like the finance Well, look, 1391 01:20:17,840 --> 01:20:20,439 Speaker 1: I'm not going to disclose publicly how I voted it, 1392 01:20:20,479 --> 01:20:22,639 Speaker 1: but I will say that out of the three parties, 1393 01:20:23,200 --> 01:20:25,799 Speaker 1: out of the three parties, the Liberals did have the 1394 01:20:25,840 --> 01:20:29,680 Speaker 1: most pro growth fiscal plan. Really, that's kind of surprising. Well, 1395 01:20:29,680 --> 01:20:32,120 Speaker 1: I thought you read my daily. I do read your daily. 1396 01:20:32,120 --> 01:20:36,320 Speaker 1: It's a blur after after ten years of it. It's 1397 01:20:36,400 --> 01:20:38,160 Speaker 1: kind of a So it takes some of the pressure 1398 01:20:38,200 --> 01:20:40,559 Speaker 1: off the bank. Not only do I read your daily, 1399 01:20:40,760 --> 01:20:44,360 Speaker 1: but let me remind you that I republished your entire 1400 01:20:44,400 --> 01:20:47,960 Speaker 1: analysis of the Canadian election on the Big Picture because 1401 01:20:48,000 --> 01:20:50,880 Speaker 1: I thought it was so strong. Do you recall that conversation. 1402 01:20:51,000 --> 01:20:55,479 Speaker 1: That's why we're moving this conversation into let's discuss the 1403 01:20:55,520 --> 01:20:58,960 Speaker 1: minister appointment. I am forever indebted. I think that he's 1404 01:20:58,960 --> 01:21:02,920 Speaker 1: appointed a strong economics team. It's one of these situations 1405 01:21:02,960 --> 01:21:06,120 Speaker 1: where I think that you know, look, the Liberals got 1406 01:21:06,120 --> 01:21:12,120 Speaker 1: elected in on almost a socialist manifesto which never saw 1407 01:21:12,120 --> 01:21:14,839 Speaker 1: the light of day. You couldn't have sold the story 1408 01:21:15,080 --> 01:21:18,000 Speaker 1: that Jean Cratchin and Paul Martin would have been the 1409 01:21:18,040 --> 01:21:20,400 Speaker 1: fiscal dragon slayers. That would have they would have been 1410 01:21:20,400 --> 01:21:25,960 Speaker 1: the duo that made Canada the poster child for fiscal integrity. 1411 01:21:26,040 --> 01:21:28,799 Speaker 1: So what I will say is that Canada, the federal 1412 01:21:28,840 --> 01:21:31,920 Speaker 1: government has a thirty one debt to GDP ratio the 1413 01:21:32,080 --> 01:21:34,639 Speaker 1: media and the media O. E. C. D is eight percent. 1414 01:21:35,320 --> 01:21:37,880 Speaker 1: They're really running on a platform of roughly five billion 1415 01:21:37,920 --> 01:21:40,320 Speaker 1: dollar deficits annually for the next four years. I actually 1416 01:21:40,360 --> 01:21:42,760 Speaker 1: put on my report they should be running twenty five 1417 01:21:42,800 --> 01:21:45,280 Speaker 1: billion dollar deficits. And they could do that and not 1418 01:21:45,479 --> 01:21:48,760 Speaker 1: even spin the dial on the debt. This is like 1419 01:21:48,880 --> 01:21:50,920 Speaker 1: I would saying before. This is what I was saying before. 1420 01:21:51,080 --> 01:21:53,960 Speaker 1: We've had a detonation in the energy capital stock. It's 1421 01:21:54,000 --> 01:21:57,479 Speaker 1: thrown Alberta into a terrible recession. And this is where 1422 01:21:57,600 --> 01:22:00,400 Speaker 1: public sector infrastructure spending is really in a pack of 1423 01:22:00,479 --> 01:22:02,760 Speaker 1: powerful punch. They should actually do more. It's what I 1424 01:22:02,920 --> 01:22:05,080 Speaker 1: told Barack Obama he should have done. Of course, you 1425 01:22:05,160 --> 01:22:07,640 Speaker 1: know back in two thousand nine. Um let me let 1426 01:22:07,680 --> 01:22:14,960 Speaker 1: me get that for you. That that actually, um so 1427 01:22:15,080 --> 01:22:18,760 Speaker 1: your deep Akinsian when it comes to it, Well, what 1428 01:22:18,800 --> 01:22:20,800 Speaker 1: does that mean about being a Kinsian that during a 1429 01:22:20,840 --> 01:22:23,840 Speaker 1: recession the government steps into make up the shortfall and 1430 01:22:23,880 --> 01:22:25,760 Speaker 1: grow and call it Kansian or you can call it 1431 01:22:25,880 --> 01:22:29,800 Speaker 1: this common sense. I don't disagree with you either. Look, 1432 01:22:29,840 --> 01:22:31,760 Speaker 1: I am not Look I'll tell you right now, I 1433 01:22:32,120 --> 01:22:35,120 Speaker 1: am not a tea party advocate. I am not a libertarian. 1434 01:22:35,200 --> 01:22:38,120 Speaker 1: I am a right I'm a conservative. I'm a John 1435 01:22:38,200 --> 01:22:42,840 Speaker 1: Cask type of conservative. Uh, you could say liberal and 1436 01:22:42,960 --> 01:22:46,800 Speaker 1: social issues and conservative and economic issues. But it's foolhardy 1437 01:22:47,000 --> 01:22:50,680 Speaker 1: and actually dangerous policy to think that you're going to 1438 01:22:50,800 --> 01:22:56,400 Speaker 1: run the same fiscal stature throughout the business cycle, irrespective 1439 01:22:56,439 --> 01:22:58,960 Speaker 1: of the negative shocks that come our way. How can 1440 01:22:59,040 --> 01:23:02,760 Speaker 1: you not respond your job? Okay, this is not that 1441 01:23:03,880 --> 01:23:09,960 Speaker 1: responded well, it did respond, It didn't respond, It didn't 1442 01:23:10,000 --> 01:23:12,560 Speaker 1: respond enough. Look, this is Monday morning quarterbacking, and I 1443 01:23:12,600 --> 01:23:14,640 Speaker 1: would say to the federal government Ottawa, don't make the 1444 01:23:14,680 --> 01:23:17,840 Speaker 1: same mistake. We have had a huge negative shock to 1445 01:23:17,880 --> 01:23:21,439 Speaker 1: the economy from the energy sector, and Canada is look 1446 01:23:21,479 --> 01:23:25,240 Speaker 1: when it's not maybe it's uh, not quite right of center, 1447 01:23:25,280 --> 01:23:27,759 Speaker 1: it's maybe just a debt center. Under the Harper government, 1448 01:23:28,080 --> 01:23:31,320 Speaker 1: it was more right a center that has been historically um. 1449 01:23:31,520 --> 01:23:35,879 Speaker 1: But there is a public private partnership in Canada and Canada, 1450 01:23:36,000 --> 01:23:41,080 Speaker 1: the Canadian government has tremendous capacity to borrow money at 1451 01:23:41,160 --> 01:23:45,200 Speaker 1: historically low interest rates, and not for programs spending or welfare, 1452 01:23:45,680 --> 01:23:49,800 Speaker 1: but for productivity enhancing UH, infrastructure spending, which will have 1453 01:23:49,840 --> 01:23:52,840 Speaker 1: a long term payback if it's successful in terms of 1454 01:23:52,880 --> 01:23:55,600 Speaker 1: boosting the long term growth potential of the country. You 1455 01:23:55,600 --> 01:23:57,280 Speaker 1: will get on the right side of the Laugher curve 1456 01:23:57,360 --> 01:23:59,639 Speaker 1: and actually end up garnering more revenues down the road. 1457 01:24:00,840 --> 01:24:04,479 Speaker 1: All right, we've been speaking with Dave Rosenberg. He is 1458 01:24:04,600 --> 01:24:10,240 Speaker 1: the chief economist and market strategist at Gluskin Chef in Toronto, Canada. 1459 01:24:10,760 --> 01:24:13,479 Speaker 1: If you enjoy these conversations to be showing, look Up 1460 01:24:13,479 --> 01:24:16,160 Speaker 1: an Inch or Down an Inch on iTunes and you'll 1461 01:24:16,160 --> 01:24:19,920 Speaker 1: see all of our previous chats with various notable folks. 1462 01:24:20,400 --> 01:24:23,600 Speaker 1: Be sure and check out my daily column on Bloomberg 1463 01:24:23,680 --> 01:24:27,520 Speaker 1: View dot com. Check out my blog on at Ridholts 1464 01:24:27,600 --> 01:24:30,840 Speaker 1: dot com. Follow me on Twitter at Ridholts. Dave, you're 1465 01:24:30,840 --> 01:24:34,080 Speaker 1: gonna start tweeting. I know you just occasionally have someone 1466 01:24:34,080 --> 01:24:36,120 Speaker 1: in your office. It looks like tweets something out for you. 1467 01:24:36,479 --> 01:24:39,720 Speaker 1: But why don't we get you on Twitter? Uh? Well, 1468 01:24:39,840 --> 01:24:43,120 Speaker 1: once again, you just have to, uh get on the 1469 01:24:43,160 --> 01:24:47,200 Speaker 1: Gluskins Chef website and uh it's all there for the 1470 01:24:47,320 --> 01:24:51,160 Speaker 1: viewing there it is. I want to thank my engineer, Reggie, 1471 01:24:51,280 --> 01:24:55,120 Speaker 1: my producer, Charlie Vohmer, my head of research, Michael bat Nick. 1472 01:24:55,760 --> 01:24:58,799 Speaker 1: I'm Barry Ridhults. You've been listening to masters in Business 1473 01:24:59,000 --> 01:25:00,280 Speaker 1: on Bloomberg Rate. Yeah.