1 00:00:14,040 --> 00:00:17,239 Speaker 1: Hello, and welcome to What Goes Up, a weekly markets podcast. 2 00:00:17,360 --> 00:00:19,880 Speaker 1: My name is Mike Reagan. I'm a senior editor at Bloomberg, 3 00:00:19,960 --> 00:00:23,360 Speaker 1: and I'm Lodona Hio, Across Acid reporter with Bloomberg. This 4 00:00:23,440 --> 00:00:26,279 Speaker 1: week on the show, well do you remember Tina, the 5 00:00:26,320 --> 00:00:29,479 Speaker 1: acronym standing for there is no alternative two stocks for 6 00:00:29,560 --> 00:00:33,600 Speaker 1: investors looking for positive returns? Well, Tina left the building 7 00:00:33,640 --> 00:00:36,720 Speaker 1: in two and no one seems to expect her to 8 00:00:36,760 --> 00:00:40,680 Speaker 1: return this year. Either. With investment grade corporate bonds offering 9 00:00:40,760 --> 00:00:43,880 Speaker 1: yields of almost six percent and even to year treasuries 10 00:00:43,960 --> 00:00:48,280 Speaker 1: yielding well above four there are alternatives two stocks this year. 11 00:00:48,720 --> 00:00:50,839 Speaker 1: We're gonna get into it with the director of Global 12 00:00:50,880 --> 00:00:54,560 Speaker 1: Macro at a major investment firm. But Voldonna before that, 13 00:00:55,280 --> 00:00:57,760 Speaker 1: I've noticed it's a new year. I am still not 14 00:00:57,880 --> 00:01:01,360 Speaker 1: a member of your professional network. On Lincoln, this week's 15 00:01:01,360 --> 00:01:04,520 Speaker 1: guess actually is a member of I think I'm a 16 00:01:04,520 --> 00:01:06,640 Speaker 1: member of his professional network. I don't know how it works. 17 00:01:06,680 --> 00:01:09,560 Speaker 1: I definitely added him because I was looking at his 18 00:01:09,600 --> 00:01:13,720 Speaker 1: LinkedIn earlier and in preparation for the show, and he 19 00:01:13,760 --> 00:01:16,240 Speaker 1: has some really great posts about food. He's a good follow, 20 00:01:16,280 --> 00:01:18,679 Speaker 1: he's a good chef. He's a good person to follow. 21 00:01:18,760 --> 00:01:20,080 Speaker 1: I was just going to say, you can make a 22 00:01:20,160 --> 00:01:24,839 Speaker 1: name in social media either with great charts, financial charts 23 00:01:25,240 --> 00:01:28,120 Speaker 1: or with good food picks. Yeah, good foods. I think 24 00:01:28,160 --> 00:01:30,720 Speaker 1: he's got both bases, have both. I'm getting hungry. I 25 00:01:30,760 --> 00:01:32,679 Speaker 1: get hungry every time I see is. Can I just 26 00:01:32,720 --> 00:01:35,479 Speaker 1: tell you I have so many invites pending on LinkedIn. Now, 27 00:01:36,040 --> 00:01:39,480 Speaker 1: even if I tried to add I would never You 28 00:01:39,520 --> 00:01:42,800 Speaker 1: couldn't possibly even find it. Take me like years. Yeah, 29 00:01:42,920 --> 00:01:45,000 Speaker 1: that's that's the reason I'm not. But I am friends 30 00:01:45,080 --> 00:01:49,120 Speaker 1: with with our guests. It's it's Ran tim Or. He's 31 00:01:49,120 --> 00:01:52,120 Speaker 1: the director of Global Macro ad Fidelity Investments. Yourian, thank 32 00:01:52,120 --> 00:01:54,520 Speaker 1: you so much for joining us on the podcast. Yeah, well, 33 00:01:54,520 --> 00:01:56,200 Speaker 1: thank you for having me. And you know, it's funny 34 00:01:56,240 --> 00:01:59,200 Speaker 1: you mentioned the food on on social media because you 35 00:01:59,240 --> 00:02:03,240 Speaker 1: can never please everyone, you know, like I'll get comments saying, oh, 36 00:02:03,360 --> 00:02:05,720 Speaker 1: you know, just you know what is his Facebook? You know, 37 00:02:05,800 --> 00:02:08,520 Speaker 1: just just to stick to the market commentary. And then 38 00:02:09,320 --> 00:02:12,280 Speaker 1: how about the vegans out there, like show me somety 39 00:02:12,320 --> 00:02:16,040 Speaker 1: and so you can never please everyone? Will want some cauliflower. 40 00:02:16,160 --> 00:02:18,600 Speaker 1: I think I love cauliflower. I am vegetarian, so I 41 00:02:18,639 --> 00:02:22,240 Speaker 1: actually would like to see more vegetables. Yeah, absolutely he did. Uh. 42 00:02:22,280 --> 00:02:25,640 Speaker 1: I think he did bee fund for for Christmas. I 43 00:02:25,639 --> 00:02:27,679 Speaker 1: did not know that was legal that you could do 44 00:02:27,800 --> 00:02:30,120 Speaker 1: beef fun. You can actually dip the beef in the cheese. 45 00:02:30,120 --> 00:02:33,120 Speaker 1: This is like a dream come true for me. It's 46 00:02:33,160 --> 00:02:35,800 Speaker 1: an old recipe from It's a recipe from my My 47 00:02:35,880 --> 00:02:38,440 Speaker 1: mom is a great chef. She's eighty eight years old. 48 00:02:38,960 --> 00:02:42,359 Speaker 1: But some of my my best recipes are really vintage 49 00:02:42,360 --> 00:02:46,280 Speaker 1: retro recipes that were hers from the nineteen seventies. And 50 00:02:46,320 --> 00:02:48,800 Speaker 1: you know, beefund was like a big thing back there 51 00:02:49,720 --> 00:02:53,000 Speaker 1: back then. So most people think of cheese fondu, but 52 00:02:53,080 --> 00:02:56,720 Speaker 1: beefndu is a very good social social type of dinner. 53 00:02:56,760 --> 00:02:58,560 Speaker 1: You can have ten people over, so it's a lot 54 00:02:58,560 --> 00:03:00,840 Speaker 1: of fun. I'm salvating just thinking about it. Should have 55 00:03:00,840 --> 00:03:04,960 Speaker 1: a party mine. You're into the party. Yeah, But I think, 56 00:03:05,040 --> 00:03:07,239 Speaker 1: all right, you're let's let's shift to your recipe for 57 00:03:07,280 --> 00:03:10,320 Speaker 1: the markets. Though, I think, how's that sege? That's a 58 00:03:10,360 --> 00:03:12,720 Speaker 1: really good segue. So on one of your LinkedIn posts, 59 00:03:12,720 --> 00:03:17,600 Speaker 1: actually you said two was challenging, So I'm wondering what 60 00:03:17,680 --> 00:03:20,600 Speaker 1: you foresee for three? And maybe if you don't want 61 00:03:20,600 --> 00:03:22,400 Speaker 1: to give a full year outlook what you see for 62 00:03:22,440 --> 00:03:26,560 Speaker 1: the next couple of months at least. So two was 63 00:03:26,760 --> 00:03:32,760 Speaker 1: all about undoing the excesses in the markets stemming from 64 00:03:32,880 --> 00:03:36,760 Speaker 1: the basically the over stimulated system following the COVID you 65 00:03:36,800 --> 00:03:40,200 Speaker 1: know crash and the lockdowns um and you know that 66 00:03:40,280 --> 00:03:43,560 Speaker 1: whole that whole story episode, which I hope is behind us, 67 00:03:43,640 --> 00:03:47,520 Speaker 1: but you never know with with COVID UM. But you know, 68 00:03:47,640 --> 00:03:50,440 Speaker 1: when the FED went, you know, on the on the 69 00:03:50,480 --> 00:03:53,080 Speaker 1: gas pedal together with the Treasury, and we had that 70 00:03:53,160 --> 00:03:57,160 Speaker 1: one to punch of fiscal monetary stimulus. Obviously it was 71 00:03:57,280 --> 00:03:59,680 Speaker 1: needed at the time. It was a very timely, very 72 00:03:59,720 --> 00:04:03,119 Speaker 1: active response. It certainly did what it was supposed to do, 73 00:04:03,640 --> 00:04:06,600 Speaker 1: but I think we can probably all agree that there 74 00:04:06,760 --> 00:04:09,880 Speaker 1: was maybe too much and it stayed around for too long. 75 00:04:10,400 --> 00:04:13,640 Speaker 1: The FED appreciated the supply chain bottlenecks and the you know, 76 00:04:13,960 --> 00:04:17,520 Speaker 1: the transitory nature of that. Obviously the FED could not 77 00:04:17,600 --> 00:04:22,159 Speaker 1: see the Russia Ukraine war coming, But in retrospect, maybe 78 00:04:22,200 --> 00:04:25,480 Speaker 1: there should have been more of an appreciation for the 79 00:04:25,560 --> 00:04:28,279 Speaker 1: kind of the magnitude of the fiscal stimulus that happened 80 00:04:28,279 --> 00:04:31,760 Speaker 1: that we haven't really seen since world War two, UM, 81 00:04:32,000 --> 00:04:36,800 Speaker 1: and so was about taking that punch bowl away in 82 00:04:36,839 --> 00:04:40,560 Speaker 1: a very big way. And it cost evaluation reset in 83 00:04:40,640 --> 00:04:43,080 Speaker 1: all markets, right, the bond market, the stock market, the 84 00:04:43,120 --> 00:04:46,400 Speaker 1: crypto market, the commodity markets, you name it. And so 85 00:04:46,520 --> 00:04:50,240 Speaker 1: that was so it was a big valuation reset. Basically, 86 00:04:50,240 --> 00:04:54,280 Speaker 1: the FED raised the cost of capital on everyone, homeowners, 87 00:04:54,360 --> 00:04:58,839 Speaker 1: the government, corporations, consumers, um, and the bond market. You 88 00:04:58,839 --> 00:05:01,080 Speaker 1: know you mentioned Tina early here. The bond market went 89 00:05:02,080 --> 00:05:05,600 Speaker 1: back to being a viable competitive asset class, I mean 90 00:05:05,760 --> 00:05:10,039 Speaker 1: positively correlated to the stock market. Unfortunately for anyone in 91 00:05:10,080 --> 00:05:14,480 Speaker 1: a sixty forty type portfolio, which is really most of us, 92 00:05:14,520 --> 00:05:17,400 Speaker 1: but that level the playing field that we now actually 93 00:05:17,400 --> 00:05:21,600 Speaker 1: have a menu of asset classes that actually is more 94 00:05:21,640 --> 00:05:26,000 Speaker 1: closely resembles what we have historically seen rather than you know, 95 00:05:26,080 --> 00:05:29,880 Speaker 1: the last few years. So now we're in three and 96 00:05:29,960 --> 00:05:33,760 Speaker 1: for me, the big question and for many investors of course, is, 97 00:05:34,320 --> 00:05:36,599 Speaker 1: you know, will the FET be able to thread the 98 00:05:36,640 --> 00:05:41,359 Speaker 1: needle by raising rates just high enough to tame the 99 00:05:41,400 --> 00:05:46,560 Speaker 1: inflation monster, but without causing a severe recession, which would 100 00:05:46,600 --> 00:05:50,920 Speaker 1: then mean an earnings contraction, which then would point to 101 00:05:50,960 --> 00:05:54,240 Speaker 1: the risk of another leg down for the stock market. 102 00:05:54,320 --> 00:05:58,480 Speaker 1: So I think the bond market has largely reset itself. 103 00:05:58,560 --> 00:06:01,680 Speaker 1: We went from one sent long yields to you know, 104 00:06:01,920 --> 00:06:04,719 Speaker 1: over four point three were now at about three and 105 00:06:04,800 --> 00:06:07,599 Speaker 1: three quarters or so. So I think that reset is 106 00:06:07,720 --> 00:06:10,040 Speaker 1: behind us. But for the stock market, when you look 107 00:06:10,080 --> 00:06:14,400 Speaker 1: at historical cycles, there are some cycles where all of 108 00:06:14,440 --> 00:06:16,719 Speaker 1: the reset in the market, all of the bear market 109 00:06:16,760 --> 00:06:21,599 Speaker 1: basically was evaluation component, and by the time earnings maybe 110 00:06:21,839 --> 00:06:24,919 Speaker 1: did start to fall, enough of it was discounted that 111 00:06:25,000 --> 00:06:27,680 Speaker 1: the market actually was able to rally because price generally 112 00:06:27,720 --> 00:06:31,720 Speaker 1: bottoms before earnings. That certainly happened in two happened in 113 00:06:31,760 --> 00:06:36,279 Speaker 1: twenty I should say happened in two thousand nine. But 114 00:06:36,560 --> 00:06:38,720 Speaker 1: you know, when you look at the macro data and 115 00:06:38,760 --> 00:06:41,359 Speaker 1: you look at the inversion in the yield curve, you know, 116 00:06:41,440 --> 00:06:44,040 Speaker 1: we when the yield curve was the most inverted about 117 00:06:44,080 --> 00:06:47,440 Speaker 1: a month ago, we were at the nine percent of 118 00:06:47,600 --> 00:06:50,800 Speaker 1: most inversion of all time, you know, the most inverted 119 00:06:50,800 --> 00:06:54,080 Speaker 1: since nineteen the early nineteen eighties. And you have a 120 00:06:54,120 --> 00:06:57,400 Speaker 1: FED basically saying, as per the December f o MC 121 00:06:57,600 --> 00:07:00,400 Speaker 1: meeting that you know, we're gonna go to five ish percent, 122 00:07:00,520 --> 00:07:04,640 Speaker 1: which given where inflation expectations are now via the tips, 123 00:07:04,640 --> 00:07:07,640 Speaker 1: market would be in a you know, at a significantly 124 00:07:07,760 --> 00:07:10,680 Speaker 1: restrictive zone, and the Fed is saying, you know, we're 125 00:07:10,680 --> 00:07:13,240 Speaker 1: going to kind of stay there for a while. And 126 00:07:13,320 --> 00:07:17,880 Speaker 1: so if if when you combine that with the possibility 127 00:07:17,960 --> 00:07:20,440 Speaker 1: or the likelihood of a recession maybe in the second 128 00:07:20,440 --> 00:07:23,680 Speaker 1: half of the year, which would then cause an earnings contraction, 129 00:07:24,200 --> 00:07:26,920 Speaker 1: you know, it's not unreasonable to worry that there was 130 00:07:26,960 --> 00:07:31,000 Speaker 1: another shoe that's going to drop. But again, it's it's 131 00:07:31,040 --> 00:07:34,360 Speaker 1: a very much a nonlinear type of thing because price 132 00:07:34,480 --> 00:07:37,040 Speaker 1: does bottom before earnings. I don't know if you remember 133 00:07:37,440 --> 00:07:39,280 Speaker 1: two and a half years ago. You know, in the 134 00:07:39,280 --> 00:07:43,840 Speaker 1: summer of the market was roaring back, going to new 135 00:07:43,880 --> 00:07:48,520 Speaker 1: all time highs fairly quickly after the crash in in 136 00:07:48,600 --> 00:07:51,800 Speaker 1: February and March, and a lot of people were scratching 137 00:07:51,840 --> 00:07:54,200 Speaker 1: their heads, saying, how how is this possible? The world 138 00:07:54,320 --> 00:07:56,560 Speaker 1: is coming to an end, people are dying, the economy 139 00:07:56,640 --> 00:07:59,920 Speaker 1: is lockdown. How can the market be justified by going 140 00:08:00,040 --> 00:08:02,840 Speaker 1: to new highs? And in retrospect, the market was just 141 00:08:02,920 --> 00:08:06,920 Speaker 1: feeling that that lead lag timeline between price and earning. 142 00:08:07,040 --> 00:08:10,080 Speaker 1: So it is possible that the October lows were the 143 00:08:10,120 --> 00:08:13,280 Speaker 1: lows um and that if we get a mild recession 144 00:08:13,400 --> 00:08:16,600 Speaker 1: or a mild earnings contraction or only an earnings contraction 145 00:08:16,680 --> 00:08:20,440 Speaker 1: in real terms but not in nominal terms, that we've 146 00:08:20,480 --> 00:08:23,320 Speaker 1: seen the worst of it. But it is a risk 147 00:08:23,400 --> 00:08:26,880 Speaker 1: that there is an earnings wave coming in uh let's 148 00:08:26,920 --> 00:08:30,920 Speaker 1: say later, and that we're not out of the woods yet. 149 00:08:30,960 --> 00:08:36,480 Speaker 1: So my very safe forecast is that is going to 150 00:08:36,559 --> 00:08:39,600 Speaker 1: be kind of a choppy, sideways market where we're going 151 00:08:39,640 --> 00:08:42,679 Speaker 1: to revisit the lows maybe once or twice as kind 152 00:08:42,679 --> 00:08:45,880 Speaker 1: of the fear grows that there's an earnings wave coming. 153 00:08:46,280 --> 00:08:48,920 Speaker 1: But at the same time, there's going to be opportunities. 154 00:08:49,240 --> 00:08:52,120 Speaker 1: There's gonna be a lot of under the surface rotation. 155 00:08:52,240 --> 00:08:56,239 Speaker 1: I think, like we saw in two, I think international 156 00:08:56,320 --> 00:08:59,360 Speaker 1: markets are looking a lot more interesting. Value I think 157 00:08:59,360 --> 00:09:02,720 Speaker 1: will continue to outperform growth. So I think it's going 158 00:09:02,760 --> 00:09:05,280 Speaker 1: to be a very very bifurcated market where at the 159 00:09:05,360 --> 00:09:08,840 Speaker 1: beta level not much is going to happen, but at 160 00:09:08,880 --> 00:09:12,280 Speaker 1: the alpha level, at the second order asset allocation level, 161 00:09:12,440 --> 00:09:15,679 Speaker 1: there will be opportunities. And I think the forty side 162 00:09:15,679 --> 00:09:18,960 Speaker 1: of the sixty forty will be a port in the storm. 163 00:09:19,240 --> 00:09:23,040 Speaker 1: Uh If if that's sixty side still has another down lick. 164 00:09:23,960 --> 00:09:26,960 Speaker 1: It's interesting your and I are colleague Sam Potter in 165 00:09:27,040 --> 00:09:32,640 Speaker 1: London put together this monster compilation of sort of every 166 00:09:32,960 --> 00:09:38,920 Speaker 1: strategists or fund managers predictions for three and that notion 167 00:09:38,960 --> 00:09:41,760 Speaker 1: that there's a lot of bullishness on bonds. Obviously some 168 00:09:41,920 --> 00:09:45,800 Speaker 1: even saying well maybe you flip the sixty relationship and 169 00:09:45,840 --> 00:09:53,120 Speaker 1: got bonds or even bonds thirty equities. But I feel 170 00:09:53,120 --> 00:09:57,080 Speaker 1: like embedded in all this bond bullishness is this notion 171 00:09:57,480 --> 00:10:00,439 Speaker 1: that inflation has peaked, might not get back down to 172 00:10:00,480 --> 00:10:02,960 Speaker 1: that supercent level this year, but it's going to head 173 00:10:02,960 --> 00:10:05,560 Speaker 1: in that direction. We've seen the worst of it. I 174 00:10:05,640 --> 00:10:08,520 Speaker 1: just get nervous when I see a consensus like that 175 00:10:08,920 --> 00:10:11,920 Speaker 1: where everyone's sort of thinking the same thing. It makes 176 00:10:11,960 --> 00:10:14,240 Speaker 1: a lot of sense that that should happen. I think, 177 00:10:14,320 --> 00:10:16,560 Speaker 1: you know, if you have, if you're forced in your 178 00:10:16,559 --> 00:10:18,920 Speaker 1: career to make predictions for the coming year, that one 179 00:10:18,960 --> 00:10:21,080 Speaker 1: makes tons of sense. But how big of a tail 180 00:10:21,200 --> 00:10:26,079 Speaker 1: risk or regular risk is the idea that inflation isn't 181 00:10:26,160 --> 00:10:28,520 Speaker 1: as under control as everyone hopes it is. You know, 182 00:10:28,960 --> 00:10:32,880 Speaker 1: is there a risk there that's that's not really being appreciated? Yes, 183 00:10:33,000 --> 00:10:35,959 Speaker 1: I think that that is correct. And if you look 184 00:10:36,000 --> 00:10:38,760 Speaker 1: at the tips market, uh, and the tips market is 185 00:10:38,760 --> 00:10:41,400 Speaker 1: by no means always correct. No, no market is I mean, 186 00:10:41,480 --> 00:10:44,439 Speaker 1: any market is just a subset of human behavior and 187 00:10:44,520 --> 00:10:48,960 Speaker 1: human expectations, and so market signals are often wrong, which 188 00:10:48,960 --> 00:10:50,800 Speaker 1: of course is a risk for the FED when they 189 00:10:50,840 --> 00:10:54,840 Speaker 1: look at financial conditions. But that's another conversation. But it 190 00:10:54,880 --> 00:10:56,839 Speaker 1: seems like a no brainer that if we're going to 191 00:10:56,920 --> 00:11:00,440 Speaker 1: have economic weakness and now that inflation is going down, 192 00:11:00,440 --> 00:11:01,839 Speaker 1: I mean it is right. I mean, the c p 193 00:11:01,960 --> 00:11:04,960 Speaker 1: I piked at nine percent year over year in June, 194 00:11:05,000 --> 00:11:07,560 Speaker 1: and it's you know, it's well off of those levels, 195 00:11:07,600 --> 00:11:11,200 Speaker 1: and most economists that I follow, and even our in 196 00:11:11,280 --> 00:11:15,920 Speaker 1: house economics team, it seems fairly likely that inflation will 197 00:11:15,920 --> 00:11:19,640 Speaker 1: continue to come down at least still about four percent. 198 00:11:20,200 --> 00:11:22,680 Speaker 1: But as you point out that, the risk is that 199 00:11:23,240 --> 00:11:25,400 Speaker 1: it stops there or that it doesn't go all the 200 00:11:25,440 --> 00:11:28,280 Speaker 1: way back back down to two. And one thing that 201 00:11:28,320 --> 00:11:31,360 Speaker 1: the FED has been very clear about recently is that 202 00:11:31,400 --> 00:11:33,640 Speaker 1: it's not enough just to see inflation come down. It 203 00:11:33,640 --> 00:11:36,080 Speaker 1: has to come down to the FEDS target, which is 204 00:11:36,240 --> 00:11:40,959 Speaker 1: two pc, which generally the CPI runs a little higher 205 00:11:41,000 --> 00:11:44,640 Speaker 1: than that because of the different compositions. So basically two 206 00:11:44,640 --> 00:11:46,840 Speaker 1: and a half percent on the c P I would 207 00:11:47,080 --> 00:11:50,320 Speaker 1: is the Fed's target. And the risk is that, you know, 208 00:11:50,880 --> 00:11:53,280 Speaker 1: the FED will go to around five percent in the 209 00:11:53,360 --> 00:11:55,520 Speaker 1: next three months or so. I mean, the FED has 210 00:11:55,559 --> 00:11:58,640 Speaker 1: been fairly clear about that. The dot plot suggests the 211 00:11:58,720 --> 00:12:01,800 Speaker 1: same thing. Uh, But there's a disconnect between what the 212 00:12:01,880 --> 00:12:04,600 Speaker 1: forward curve, you know, the SOFA curve or the FED 213 00:12:04,600 --> 00:12:07,880 Speaker 1: funds curve is saying the FEED will do and what 214 00:12:08,000 --> 00:12:10,719 Speaker 1: the FED is saying the FED will do. Right, if 215 00:12:10,720 --> 00:12:14,720 Speaker 1: you look at the three dot plot, the median dot 216 00:12:14,840 --> 00:12:17,560 Speaker 1: is like four and three eight or so, and the 217 00:12:17,559 --> 00:12:20,199 Speaker 1: FED funds curve or the SOFA curve is at three. 218 00:12:20,640 --> 00:12:23,760 Speaker 1: I mean, that's a big disconnect, right, And so I 219 00:12:23,800 --> 00:12:26,040 Speaker 1: think the risk is that, and I think the FED 220 00:12:26,120 --> 00:12:30,319 Speaker 1: sees this, is that the FED wants to contain inflation 221 00:12:30,400 --> 00:12:32,520 Speaker 1: all the way back to its target because if it 222 00:12:32,559 --> 00:12:35,559 Speaker 1: doesn't do it now, even at the risk of a recession, 223 00:12:36,280 --> 00:12:39,000 Speaker 1: then it may never be able to do it unless, 224 00:12:39,160 --> 00:12:43,320 Speaker 1: you know, unless much more severe measures are taken. And 225 00:12:43,360 --> 00:12:46,520 Speaker 1: imagine we do go into a recession second half of 226 00:12:46,559 --> 00:12:49,280 Speaker 1: this year and inflation goes all the way to four 227 00:12:49,360 --> 00:12:51,520 Speaker 1: which is of course help of a lot better than 228 00:12:51,600 --> 00:12:54,959 Speaker 1: nine um. But that's then the trough. And let's say 229 00:12:54,960 --> 00:12:58,720 Speaker 1: inflation then accelerates in the following expansion off of a 230 00:12:58,760 --> 00:13:00,960 Speaker 1: base of three or four instead of you know what 231 00:13:01,080 --> 00:13:03,720 Speaker 1: normally would be zero or one, right, because the pendulum 232 00:13:03,760 --> 00:13:08,240 Speaker 1: is always swinging through that average target. And I think, 233 00:13:08,360 --> 00:13:11,400 Speaker 1: you know, I mean, it's a conversation for another time, 234 00:13:11,480 --> 00:13:14,840 Speaker 1: because we're very far from that happening. But that would 235 00:13:14,920 --> 00:13:18,959 Speaker 1: create the risk that bonds are indeed no longer support 236 00:13:19,040 --> 00:13:21,280 Speaker 1: in the storm because if you think about where the 237 00:13:21,400 --> 00:13:24,760 Speaker 1: term premium is, which is around zero or so. Uh. 238 00:13:24,800 --> 00:13:27,840 Speaker 1: And let's say that inflation does become more embedded at 239 00:13:27,920 --> 00:13:30,800 Speaker 1: a higher rate, even if it's only three or four, 240 00:13:31,200 --> 00:13:33,680 Speaker 1: it's still you know, almost double what the FED would 241 00:13:33,720 --> 00:13:36,280 Speaker 1: like to see. Then you could see a period of 242 00:13:36,320 --> 00:13:39,600 Speaker 1: structurally higher real rates and nominal rates. But I think 243 00:13:39,640 --> 00:13:44,520 Speaker 1: for the focus will be more on recession risk and 244 00:13:44,960 --> 00:13:49,880 Speaker 1: the forty starting to negatively correlate again against the sixty, 245 00:13:49,960 --> 00:13:52,920 Speaker 1: which is what has happened in the last few months. Again, 246 00:13:53,000 --> 00:13:55,439 Speaker 1: although it's only a few nts, do you just want 247 00:13:55,480 --> 00:13:58,640 Speaker 1: to pause and say it's the year finally people are 248 00:13:58,640 --> 00:14:02,680 Speaker 1: talking about SOFA it's taken a while. Finally the secured 249 00:14:02,720 --> 00:14:06,760 Speaker 1: overnight financing rate that replaced library Are you impressed with 250 00:14:06,760 --> 00:14:09,880 Speaker 1: You're not as impressed as I am. Not just you know, 251 00:14:09,920 --> 00:14:12,040 Speaker 1: because I bug you with these topics all the time, 252 00:14:12,040 --> 00:14:15,160 Speaker 1: where I email I'm like, what does this mean? All 253 00:14:15,160 --> 00:14:18,160 Speaker 1: the time? So first, huge, Now going forward, we were 254 00:14:18,200 --> 00:14:20,360 Speaker 1: finally out from under the shadow of live work. We've 255 00:14:20,400 --> 00:14:29,640 Speaker 1: been talking about it for years. Yeah, well you're in. 256 00:14:29,920 --> 00:14:31,680 Speaker 1: I wanted to ask you if you feel that we've 257 00:14:31,720 --> 00:14:35,160 Speaker 1: definitively made the switch from worrying about inflation to worrying 258 00:14:35,200 --> 00:14:38,120 Speaker 1: about growth and what it is in terms of economic 259 00:14:38,200 --> 00:14:42,080 Speaker 1: signals that you're tracking that might sort of give you 260 00:14:42,120 --> 00:14:44,080 Speaker 1: clues in terms of whether or not or how severe 261 00:14:44,160 --> 00:14:48,080 Speaker 1: of a recession. We get, Yes, I think for that 262 00:14:48,200 --> 00:14:53,400 Speaker 1: is correct. Maybe we'll be worrying again again about inflation, 263 00:14:53,440 --> 00:14:57,520 Speaker 1: but for now, clearly inflation is on a decelerating track. 264 00:14:57,680 --> 00:15:01,880 Speaker 1: We see this in your w prices, used car prices, 265 00:15:02,000 --> 00:15:05,120 Speaker 1: I mean, you know, price of energy commodities, uh that, 266 00:15:05,320 --> 00:15:07,800 Speaker 1: and you know the p M I price is paid, 267 00:15:08,320 --> 00:15:11,240 Speaker 1: So all of those numbers are heading in the right direction. 268 00:15:11,280 --> 00:15:13,760 Speaker 1: Of course, the FED is focused on the labor market, 269 00:15:13,760 --> 00:15:18,400 Speaker 1: which remains very tight. But um, I think for three, 270 00:15:18,840 --> 00:15:21,680 Speaker 1: the big question is, you know, last year the first 271 00:15:21,760 --> 00:15:25,880 Speaker 1: shoe dropped, which was the valuation reset driven by the FED, 272 00:15:26,360 --> 00:15:30,080 Speaker 1: driving the cost of capital higher for everything. And remember 273 00:15:30,480 --> 00:15:33,480 Speaker 1: all assets are are really just the present value of 274 00:15:33,520 --> 00:15:36,000 Speaker 1: future cash flows, whether it's a bond or you know, 275 00:15:36,280 --> 00:15:39,800 Speaker 1: a rental property or a stock. And so when when 276 00:15:39,840 --> 00:15:43,800 Speaker 1: the discount rate in that discounted cash flow model goes up, 277 00:15:44,280 --> 00:15:47,520 Speaker 1: the present value of those cash flows goes down, even 278 00:15:47,600 --> 00:15:51,440 Speaker 1: if the cash flows themselves are still growing. And that, really, 279 00:15:51,520 --> 00:15:54,840 Speaker 1: in a nutshell, is what explains what happened last year. 280 00:15:55,360 --> 00:15:57,840 Speaker 1: So that that I think is largely in the rear 281 00:15:57,920 --> 00:16:00,680 Speaker 1: view mirror. When you look at past economic cycles or 282 00:16:00,800 --> 00:16:04,480 Speaker 1: past bear markets, even the really really bad ones like 283 00:16:04,520 --> 00:16:09,120 Speaker 1: the financial crisis, the dot com bubble four, all of 284 00:16:09,160 --> 00:16:13,400 Speaker 1: those rarely produced a rate of change in the PE 285 00:16:13,560 --> 00:16:17,479 Speaker 1: ratio that was more negative than what we've seen in two. 286 00:16:17,560 --> 00:16:20,320 Speaker 1: So it's really it's it's it's a stretch to me 287 00:16:20,400 --> 00:16:23,560 Speaker 1: to argue that the PE ratio is going to go 288 00:16:23,760 --> 00:16:26,240 Speaker 1: down even more than it already has. Right, it went 289 00:16:26,280 --> 00:16:31,120 Speaker 1: from the twenties mid twenties to fifteen, but the PE 290 00:16:31,200 --> 00:16:33,040 Speaker 1: is only as good as the E, of course, and 291 00:16:33,080 --> 00:16:36,960 Speaker 1: so the E is what the question is, fore will 292 00:16:37,040 --> 00:16:40,640 Speaker 1: that E hold up? And maybe it holds up in 293 00:16:40,720 --> 00:16:44,160 Speaker 1: nominal terms because of inflation, but not in real terms. 294 00:16:44,200 --> 00:16:47,280 Speaker 1: Maybe it doesn't hold up in either. But when you 295 00:16:47,320 --> 00:16:51,640 Speaker 1: think about disconnects, and you mentioned, you know earlier about 296 00:16:51,760 --> 00:16:55,200 Speaker 1: the bond market where everyone seems to be bullish, you know, 297 00:16:55,280 --> 00:16:57,440 Speaker 1: another disconnect is that it seems like a lot of 298 00:16:57,440 --> 00:17:00,240 Speaker 1: people are worried about the recession. But you look at 299 00:17:00,240 --> 00:17:03,080 Speaker 1: the earnings estimates, the aggregated estimates, and I get mine 300 00:17:03,120 --> 00:17:06,959 Speaker 1: from from my Bloomberg terminal every Friday. It still points 301 00:17:06,960 --> 00:17:11,640 Speaker 1: to positive expected growth in and you know, I would 302 00:17:11,680 --> 00:17:16,840 Speaker 1: be a lot happier. It sounds silly, but uh, you know, 303 00:17:17,359 --> 00:17:20,800 Speaker 1: sort of wearing my contrarian hat if the earnings estimates 304 00:17:20,800 --> 00:17:24,040 Speaker 1: were really bad right now, because then you have a sense, okay, 305 00:17:24,160 --> 00:17:28,240 Speaker 1: investors are under paying for you know, what could be 306 00:17:28,680 --> 00:17:31,240 Speaker 1: a positive surprise if we end up getting either no 307 00:17:31,359 --> 00:17:34,720 Speaker 1: recession or a mild recession. And that's one of the 308 00:17:34,760 --> 00:17:37,920 Speaker 1: disconnects that kind of worries me a little bit. That uh, 309 00:17:37,920 --> 00:17:41,480 Speaker 1: that the that you know, that's something that's not apparently 310 00:17:41,560 --> 00:17:44,080 Speaker 1: in the price that the p is, but the E 311 00:17:44,359 --> 00:17:47,080 Speaker 1: still is kind of hanging in there, and that I 312 00:17:47,119 --> 00:17:50,679 Speaker 1: think is what in a nutshell is going to be about, 313 00:17:50,800 --> 00:17:53,080 Speaker 1: is will the E hold up right, especially in those 314 00:17:53,119 --> 00:17:54,840 Speaker 1: further out quarters in the year. You know, it seems 315 00:17:54,880 --> 00:17:57,800 Speaker 1: like everyone seems to backload the growth for an EPs 316 00:17:57,840 --> 00:18:00,000 Speaker 1: towards the end of the year, and slowly that gets 317 00:18:00,320 --> 00:18:03,560 Speaker 1: whittled down perhaps, but you're in One post of yours 318 00:18:03,600 --> 00:18:07,600 Speaker 1: really caught my attention because it talked about both the 319 00:18:07,600 --> 00:18:10,679 Speaker 1: two day moving average in the SMP five and just 320 00:18:10,800 --> 00:18:14,800 Speaker 1: the basic trend line. And for listeners who who aren't aware, basically, 321 00:18:15,280 --> 00:18:17,679 Speaker 1: if you take a chart of the SMP five hundred 322 00:18:18,119 --> 00:18:21,560 Speaker 1: uh and you start at the record last about a 323 00:18:21,960 --> 00:18:25,600 Speaker 1: year ago, almost exactly last January, and just connect the 324 00:18:25,640 --> 00:18:28,600 Speaker 1: top of the chart going down, it's just a straight 325 00:18:28,640 --> 00:18:31,399 Speaker 1: trend line down. And what's really been fascinating is that 326 00:18:31,480 --> 00:18:35,760 Speaker 1: any sort of rebound in the market over the past 327 00:18:35,840 --> 00:18:38,919 Speaker 1: year has failed right at that trend line, and if not, 328 00:18:38,960 --> 00:18:41,880 Speaker 1: the two day moving average a similar trend line, though 329 00:18:41,960 --> 00:18:47,560 Speaker 1: not as straight. For a lot of fundamentally investors minded investors, 330 00:18:47,680 --> 00:18:50,879 Speaker 1: um that's a hard thing to to swallow, you know, 331 00:18:51,160 --> 00:18:53,919 Speaker 1: How can you draw a simple trend line and have 332 00:18:54,080 --> 00:18:56,800 Speaker 1: it work. You know, is is it really that simple? Something? 333 00:18:56,840 --> 00:19:00,560 Speaker 1: I'm curious, you know, how important are the technical goals 334 00:19:00,800 --> 00:19:03,959 Speaker 1: these days, specifically that trend line? Is it really that simple? 335 00:19:04,480 --> 00:19:08,320 Speaker 1: And do we need sort of some big fundamental change 336 00:19:08,320 --> 00:19:11,440 Speaker 1: of tides to break that trend line? Well you ask 337 00:19:11,560 --> 00:19:13,960 Speaker 1: a great question, and it actually it brings me back, 338 00:19:14,040 --> 00:19:16,399 Speaker 1: and I hope you don't mind me digressing for a moment, 339 00:19:16,440 --> 00:19:19,280 Speaker 1: but it brings me back to the start of my career, 340 00:19:19,400 --> 00:19:24,719 Speaker 1: which is like almost uh just years ago, thirty eight 341 00:19:24,840 --> 00:19:28,320 Speaker 1: years ago. I started in the business working at a 342 00:19:28,359 --> 00:19:31,119 Speaker 1: bond desk of a Dutch bank in New York, a 343 00:19:31,240 --> 00:19:34,320 Speaker 1: b N bank which became a ban Emero. Then I 344 00:19:34,400 --> 00:19:37,520 Speaker 1: ended up running that small bond desk. So my history 345 00:19:37,600 --> 00:19:40,399 Speaker 1: starts as a bond geek, but I got really into 346 00:19:40,480 --> 00:19:43,520 Speaker 1: charting and technical analysis and that still is in my 347 00:19:43,640 --> 00:19:46,280 Speaker 1: d n A today. But you know, then ten years later, 348 00:19:46,400 --> 00:19:50,320 Speaker 1: so so almost twenty eight years ago, I was hired 349 00:19:50,359 --> 00:19:52,879 Speaker 1: by Fidelity as a chartist. I like it, like we 350 00:19:52,960 --> 00:19:56,119 Speaker 1: have a chart room. Tom Keane always speaks very highly 351 00:19:56,160 --> 00:19:59,720 Speaker 1: of of that, of that whole history and legacy. But 352 00:19:59,800 --> 00:20:03,200 Speaker 1: I was hired as a technical analyst, and I quickly 353 00:20:03,800 --> 00:20:07,280 Speaker 1: found out the hard way. I guess that I was 354 00:20:07,359 --> 00:20:11,840 Speaker 1: catering to an audience of mostly fundamentally oriented portfolio managers, 355 00:20:11,880 --> 00:20:14,040 Speaker 1: and they all look at charts, or at least many 356 00:20:14,080 --> 00:20:16,479 Speaker 1: of them do. But if I you know, you know, 357 00:20:16,680 --> 00:20:18,879 Speaker 1: back in the day, I was an analyst on knocking 358 00:20:18,880 --> 00:20:21,600 Speaker 1: on doors, you know, trying to trying to you know, 359 00:20:21,880 --> 00:20:25,479 Speaker 1: show you know, ideas to people like Bob Stansky and 360 00:20:25,720 --> 00:20:29,280 Speaker 1: George van der Hyden and you know, people running the 361 00:20:29,359 --> 00:20:32,520 Speaker 1: really big funds. And you know, when you're a one 362 00:20:32,520 --> 00:20:34,879 Speaker 1: trick pony and you just have a chart with some 363 00:20:35,040 --> 00:20:37,959 Speaker 1: lines drawn on it, the conversation is going to end 364 00:20:38,000 --> 00:20:41,959 Speaker 1: pretty quickly. So I realized that, um, that technical analysis 365 00:20:42,080 --> 00:20:47,640 Speaker 1: is important. It's a very important compliment to other analysis. 366 00:20:47,680 --> 00:20:50,280 Speaker 1: But you need to have you still, you know, like 367 00:20:50,320 --> 00:20:53,480 Speaker 1: the technical analyst to me is the is the when 368 00:20:53,960 --> 00:20:57,280 Speaker 1: and how much part of the question, But the fundamental 369 00:20:57,359 --> 00:21:01,280 Speaker 1: side is the what and why right and so UM, 370 00:21:01,359 --> 00:21:04,400 Speaker 1: I think to your specific question about the SMP peaking 371 00:21:04,720 --> 00:21:10,240 Speaker 1: your right January four two at eighteen on the SMP 372 00:21:11,200 --> 00:21:15,480 Speaker 1: UM from that peak until the low UM in October, 373 00:21:16,680 --> 00:21:20,560 Speaker 1: you look at all the little counter trend highs you 374 00:21:20,640 --> 00:21:23,400 Speaker 1: draw a trend line, and the last one held perfectly, 375 00:21:23,520 --> 00:21:25,920 Speaker 1: and that was also at the two day moving average. 376 00:21:26,320 --> 00:21:28,280 Speaker 1: And by the way, if you look at a chart 377 00:21:28,320 --> 00:21:31,320 Speaker 1: of kind of the overall liquidity in the market, it's 378 00:21:31,359 --> 00:21:33,720 Speaker 1: not a chart that I created, I've seen it elsewhere. 379 00:21:34,119 --> 00:21:37,000 Speaker 1: But you take the FATS balance sheet minus reverse repose 380 00:21:37,200 --> 00:21:40,719 Speaker 1: minus the t g E the Traadury general account, and 381 00:21:40,760 --> 00:21:44,560 Speaker 1: it's that same line, right. So, um, I think technical 382 00:21:44,560 --> 00:21:48,160 Speaker 1: analysis is used by a lot of people either as 383 00:21:48,600 --> 00:21:52,560 Speaker 1: something to confirm or deny a thesis, but for instance, 384 00:21:52,600 --> 00:21:55,040 Speaker 1: for the c T a crowd which had a banner 385 00:21:55,160 --> 00:21:59,000 Speaker 1: year last year, I think it actually provides actual signals. 386 00:21:59,000 --> 00:22:01,280 Speaker 1: You say, Okay, you know, I'm long. I'm going to 387 00:22:01,400 --> 00:22:04,560 Speaker 1: sell at the declining two hund day moving average, especially 388 00:22:04,600 --> 00:22:08,119 Speaker 1: if there are other technical features that complement that. And 389 00:22:08,160 --> 00:22:10,920 Speaker 1: so I do think that there is a cohort of 390 00:22:11,119 --> 00:22:15,800 Speaker 1: traders and investors who actually will use those indicators as 391 00:22:15,960 --> 00:22:19,320 Speaker 1: as ways to execute trades. And the nice thing is, 392 00:22:19,520 --> 00:22:22,080 Speaker 1: you know, if if a moving average is kind of 393 00:22:22,320 --> 00:22:26,960 Speaker 1: a confirmed resistance point or a down trend line, and 394 00:22:27,080 --> 00:22:30,800 Speaker 1: you sell against that trend line, you know very quickly 395 00:22:30,840 --> 00:22:32,720 Speaker 1: if you're wrong and right for and for c t 396 00:22:32,880 --> 00:22:35,760 Speaker 1: as or hedge funds. Uh, that's the name of the game. 397 00:22:35,760 --> 00:22:39,480 Speaker 1: It's risk management. So if you sell at four thousand 398 00:22:39,840 --> 00:22:43,360 Speaker 1: and it goes to well, then you're out, and then 399 00:22:43,400 --> 00:22:46,600 Speaker 1: you'll you'll wait and see what happens next. And so 400 00:22:46,800 --> 00:22:49,920 Speaker 1: I think in that sense, these technical tools are still 401 00:22:50,080 --> 00:22:54,280 Speaker 1: very very viable tools for trade location and timing, But 402 00:22:54,400 --> 00:22:57,760 Speaker 1: from my perspective as a longer term investor, it's really 403 00:22:57,800 --> 00:23:01,040 Speaker 1: there to confirm or deny a thee and to help 404 00:23:01,080 --> 00:23:04,560 Speaker 1: with kind of trade sizing and timing and things like that. Mike, 405 00:23:04,600 --> 00:23:07,280 Speaker 1: do you know where you can find the best technical analysis? 406 00:23:08,359 --> 00:23:11,080 Speaker 1: Why don't you tell them? In crypto? Oh? Yeah, Well 407 00:23:11,080 --> 00:23:14,080 Speaker 1: that's what it's all about. You can make up chart patterns. 408 00:23:15,440 --> 00:23:34,080 Speaker 1: I've seen the Bart Simpson chart patterns. You're in one 409 00:23:34,080 --> 00:23:36,200 Speaker 1: more quick thing, and you kind of made me think 410 00:23:36,200 --> 00:23:38,920 Speaker 1: about this. When you talk about your career started thirty 411 00:23:38,960 --> 00:23:40,679 Speaker 1: eight years ago. One thing you hear a lot of 412 00:23:40,680 --> 00:23:46,760 Speaker 1: people say these days is, oh, these so many fund managers, strategists, traders, whatever, 413 00:23:46,840 --> 00:23:51,240 Speaker 1: today are young. They haven't worked through a high interest 414 00:23:51,320 --> 00:23:54,520 Speaker 1: rate environment like you saw in the eighties, um to 415 00:23:54,600 --> 00:23:57,240 Speaker 1: which I often reply, well, yes, but they've also been 416 00:23:57,280 --> 00:24:00,280 Speaker 1: working with high powered computers their whole career. You know, 417 00:24:00,280 --> 00:24:04,320 Speaker 1: they're able to back test stuff much more quickly and 418 00:24:04,440 --> 00:24:07,320 Speaker 1: efficiently than anyone could back then. But I'm wondering how 419 00:24:07,400 --> 00:24:09,840 Speaker 1: you think about that notion that you know, there's this 420 00:24:09,920 --> 00:24:14,679 Speaker 1: generation of investors, fund managers, market participants all over the 421 00:24:14,680 --> 00:24:18,600 Speaker 1: place who who haven't lived through this type of inflation 422 00:24:19,600 --> 00:24:22,680 Speaker 1: shock that we've seen. Have you noticed any sort of 423 00:24:23,040 --> 00:24:25,480 Speaker 1: you know, effects of that already or anything you would 424 00:24:25,480 --> 00:24:28,080 Speaker 1: suspect going forward, or is it just a just a 425 00:24:28,359 --> 00:24:32,480 Speaker 1: bunch of talk. Uh? No, I think it's important, and 426 00:24:32,640 --> 00:24:36,879 Speaker 1: it doesn't just pertain to to inflation. It's just you know, 427 00:24:37,440 --> 00:24:41,080 Speaker 1: market cycles in general, you know, Like so I've been 428 00:24:41,119 --> 00:24:45,280 Speaker 1: around for a while, I've directly experienced a lot of cycles, 429 00:24:45,320 --> 00:24:49,760 Speaker 1: and I remember, like yesterday, the green span cycle. Um. 430 00:24:49,840 --> 00:24:52,080 Speaker 1: And that doesn't mean you can't be a good strategist 431 00:24:52,119 --> 00:24:55,399 Speaker 1: or investor if you weren't around back then. But for me, 432 00:24:55,840 --> 00:24:59,200 Speaker 1: as a strategist, especially one who is you know, very 433 00:24:59,280 --> 00:25:02,920 Speaker 1: visually oriented, I find it very helpful that the more 434 00:25:03,000 --> 00:25:08,639 Speaker 1: cycles I've experienced, the more context I have in my head, 435 00:25:08,760 --> 00:25:11,360 Speaker 1: because you know, you kind of I can I can 436 00:25:11,359 --> 00:25:14,159 Speaker 1: look at this cycle and say, you know, no cycle 437 00:25:14,400 --> 00:25:17,719 Speaker 1: repeats exactly, like, that's not how it works. Every cycle 438 00:25:17,800 --> 00:25:21,520 Speaker 1: is unique in some way, but we kind of borrow 439 00:25:21,640 --> 00:25:24,440 Speaker 1: different things from different cycles, right, I mean, the fourties 440 00:25:24,520 --> 00:25:26,760 Speaker 1: is one area. I mean I wasn't around back then, 441 00:25:26,840 --> 00:25:30,639 Speaker 1: but that's one major cycle that I have kind of 442 00:25:30,760 --> 00:25:32,879 Speaker 1: used as an analog because that's the last time we 443 00:25:32,960 --> 00:25:37,280 Speaker 1: had this huge, double powered fiscal monetary response to you know, 444 00:25:37,320 --> 00:25:39,840 Speaker 1: to an event, which back then was of course the 445 00:25:39,920 --> 00:25:45,159 Speaker 1: US entering World War Two, but has some parallels the 446 00:25:45,200 --> 00:25:48,840 Speaker 1: way Greenspan kind of went nonlinear in and how often 447 00:25:48,840 --> 00:25:51,479 Speaker 1: and in what increments he would raise rates. And of 448 00:25:51,520 --> 00:25:56,320 Speaker 1: course the nineties seventies are their lessons learned the late sixties, 449 00:25:56,400 --> 00:25:58,919 Speaker 1: and of course the late nineties have things in common 450 00:25:59,000 --> 00:26:01,760 Speaker 1: even though they were totally different periods in time, but 451 00:26:01,840 --> 00:26:05,320 Speaker 1: they had a lot of speculation in what today are 452 00:26:05,359 --> 00:26:07,320 Speaker 1: are the meme stocks, but back then it was the 453 00:26:07,359 --> 00:26:10,560 Speaker 1: space stocks or the dot com stock. So an advantage 454 00:26:10,600 --> 00:26:14,480 Speaker 1: of having a long experience is that you know, even 455 00:26:14,480 --> 00:26:17,200 Speaker 1: if you don't directly remember it, it kind of rings 456 00:26:17,200 --> 00:26:19,400 Speaker 1: a bell saying, you know, this kind of feels like that. 457 00:26:19,520 --> 00:26:23,800 Speaker 1: So whether it comes down to inflation or just appreciating 458 00:26:23,840 --> 00:26:26,880 Speaker 1: what happens in a recession. I mean, you know, like 459 00:26:27,040 --> 00:26:28,680 Speaker 1: you know, we used to have recessions every four or 460 00:26:28,680 --> 00:26:30,520 Speaker 1: five years, right, That's why it was called the four 461 00:26:30,560 --> 00:26:33,520 Speaker 1: year cycle. But over the last couple of decades, we've 462 00:26:33,520 --> 00:26:36,160 Speaker 1: had recessions only one every ten years or so, and 463 00:26:36,200 --> 00:26:39,320 Speaker 1: the Great Recession was the last one. And actually that 464 00:26:39,359 --> 00:26:44,680 Speaker 1: creates the opposite kind of confirmation bias, because people think 465 00:26:44,840 --> 00:26:47,439 Speaker 1: of recession, they think of recession, they think of the 466 00:26:47,440 --> 00:26:50,359 Speaker 1: financial crisis, even though that was a perfect storm that 467 00:26:50,440 --> 00:26:53,480 Speaker 1: only happens, you know, every hundred years or so. There 468 00:26:53,520 --> 00:26:57,000 Speaker 1: are much milder recessions that we can look at the 469 00:26:57,040 --> 00:27:01,040 Speaker 1: dot com period, So it's a it's limitation. But as 470 00:27:01,040 --> 00:27:04,000 Speaker 1: you as you mentioned, you know, we have lots of information, 471 00:27:04,080 --> 00:27:06,359 Speaker 1: a lot of it that I get from my Bloomberg terminal. 472 00:27:06,440 --> 00:27:09,560 Speaker 1: You guys have done a great job building that arsenal 473 00:27:09,680 --> 00:27:12,959 Speaker 1: of data um and um and you know, and this 474 00:27:13,040 --> 00:27:15,719 Speaker 1: is one of the reasons why I make my stuff 475 00:27:15,840 --> 00:27:20,400 Speaker 1: publicly available on Twitter and LinkedIn, because even though it's proprietary, 476 00:27:20,480 --> 00:27:22,800 Speaker 1: of course, it's our I p. I think if it 477 00:27:22,880 --> 00:27:26,240 Speaker 1: helps everyone make better decisions, then I think we all 478 00:27:26,240 --> 00:27:29,359 Speaker 1: win in the end. Well you're in timmer head of 479 00:27:29,359 --> 00:27:32,639 Speaker 1: Global Macro at Fairy. Great to catch up with you 480 00:27:32,680 --> 00:27:35,120 Speaker 1: and hear your thoughts. Well thought it. Maybe he can 481 00:27:35,119 --> 00:27:40,959 Speaker 1: get us recipe for cauliflower. I will make it and 482 00:27:40,960 --> 00:27:44,480 Speaker 1: I will tag you on the post. How's that? Absolutely? 483 00:27:45,200 --> 00:27:47,239 Speaker 1: But before we let you go you're in. We do 484 00:27:47,359 --> 00:27:50,480 Speaker 1: have to get to our attrition. Hear the craziest things 485 00:27:50,800 --> 00:27:53,720 Speaker 1: we saw in markets. I'm gonna get it started because 486 00:27:53,760 --> 00:27:57,400 Speaker 1: our good friend Twiggy. Sunday, he tweeted at me thebanna 487 00:27:57,480 --> 00:28:03,760 Speaker 1: of Reuter's video. It was about the Saudi Arabia Camel Festival. 488 00:28:04,119 --> 00:28:08,639 Speaker 1: We've talked about this, the King Abdullah's Ease Camel Festival, 489 00:28:08,680 --> 00:28:13,880 Speaker 1: forty five days long. It features daily auctions of camels. Now, 490 00:28:14,960 --> 00:28:17,400 Speaker 1: camels are big in Saudi Arabia. They like to race them, 491 00:28:17,600 --> 00:28:22,119 Speaker 1: They have miss pets, transportation, everything, and according to this video, 492 00:28:22,280 --> 00:28:25,840 Speaker 1: at least an ordinary domestic camel goes for about four 493 00:28:25,840 --> 00:28:30,040 Speaker 1: thousand dollars. But it's time to play. You're in the 494 00:28:30,080 --> 00:28:36,080 Speaker 1: prices precise, the prices precise, first prices, percise prices precise. 495 00:28:36,320 --> 00:28:39,720 Speaker 1: Not the prices right, You're absolutely not completely different game. 496 00:28:40,880 --> 00:28:44,640 Speaker 1: What do you suppose the highest price ever paid at 497 00:28:44,680 --> 00:28:51,520 Speaker 1: auction for a very nice camel ever ever, according to 498 00:28:51,560 --> 00:28:55,760 Speaker 1: the Riders video at the King Abdullah's Ease Camel Festival 499 00:28:55,800 --> 00:28:58,280 Speaker 1: in Saudi Arabia, was it? Was it in the past year. 500 00:28:59,040 --> 00:29:04,040 Speaker 1: I do not know the date of it. No, shoot, okay, 501 00:29:04,280 --> 00:29:08,480 Speaker 1: but I do feel like there's a bowl market in camels. Okay, okay, 502 00:29:08,480 --> 00:29:11,680 Speaker 1: I'm going with three d seventy dollars ran in seventy 503 00:29:11,680 --> 00:29:13,880 Speaker 1: five dollars. You're in. What do you think? What do 504 00:29:13,880 --> 00:29:17,320 Speaker 1: you think the highest price paid for a camel at 505 00:29:17,360 --> 00:29:20,960 Speaker 1: auction in the King's Camel auction if you go over island, 506 00:29:21,400 --> 00:29:23,880 Speaker 1: so the average you set is four thousand, that's sort 507 00:29:23,880 --> 00:29:27,840 Speaker 1: of the entry that's your entry level camel, you know. Yeah, yeah, 508 00:29:28,400 --> 00:29:34,040 Speaker 1: it comes down to the pe ratio of camel ratio there. 509 00:29:34,040 --> 00:29:36,280 Speaker 1: Maybe there's some hump rate you know analysis you can 510 00:29:36,280 --> 00:29:39,560 Speaker 1: do if during the dot com bubble the pe of 511 00:29:39,600 --> 00:29:42,520 Speaker 1: a NASDAC one hundred stock was a hundred, where normally 512 00:29:42,520 --> 00:29:45,480 Speaker 1: it would be twenty. That's five x so that but 513 00:29:45,560 --> 00:29:49,840 Speaker 1: that's only twenty thousand. That seems too low. I'm gonna 514 00:29:49,880 --> 00:29:57,520 Speaker 1: say a hundred thousand, hundred, five point five million, five remember, 515 00:30:00,680 --> 00:30:03,280 Speaker 1: oh my God, I think for for grants kind of 516 00:30:03,280 --> 00:30:05,360 Speaker 1: a bargain. I wonder if I could get one shipped over. 517 00:30:07,080 --> 00:30:09,480 Speaker 1: I think we're gonna should go. You put in that 518 00:30:09,520 --> 00:30:12,080 Speaker 1: second to see what we put in the ticket. Yeah, wow, 519 00:30:12,200 --> 00:30:14,800 Speaker 1: I'm so shocked by this. And thank you Twiggy Sunday. 520 00:30:14,840 --> 00:30:18,240 Speaker 1: Of course, of course, thank you Twiggy. Okay, I'll go next. 521 00:30:18,400 --> 00:30:21,719 Speaker 1: So you probably saw this, but fourteen years ago this 522 00:30:21,760 --> 00:30:25,880 Speaker 1: week was when the very first bitcoin block was mined. 523 00:30:26,240 --> 00:30:30,520 Speaker 1: Okay years ago, fourteen years ago this week and since then, 524 00:30:31,040 --> 00:30:33,200 Speaker 1: this is a story courtesy of Joe Wisenthal, who I 525 00:30:33,240 --> 00:30:37,280 Speaker 1: think is your seat mate. We don't sit in the 526 00:30:37,320 --> 00:30:39,720 Speaker 1: same seat. That would be awkward. That would be awkward 527 00:30:39,880 --> 00:30:43,520 Speaker 1: because you have competing podcasts. But since then, Bitcoin is 528 00:30:43,600 --> 00:30:51,040 Speaker 1: up one six nine zero seven zero six nine seven one. Wait, 529 00:30:51,640 --> 00:30:54,600 Speaker 1: how many commas in a million percent? Three? No, there's 530 00:30:54,680 --> 00:30:58,960 Speaker 1: three commas a billion percent? Yeah, oh my goodness. Because 531 00:30:58,960 --> 00:31:02,479 Speaker 1: it was trading for like it went from a penny 532 00:31:02,560 --> 00:31:07,560 Speaker 1: basically for a fraction of a penny. Too. Well, you're in. 533 00:31:07,800 --> 00:31:11,000 Speaker 1: You know, Fidelity has made a big inroads in the crypto. 534 00:31:11,080 --> 00:31:14,360 Speaker 1: What what's your thoughts after this? You know, just disastrous 535 00:31:14,400 --> 00:31:17,640 Speaker 1: year for crypto going for Yeah, I mean, I think 536 00:31:17,840 --> 00:31:19,880 Speaker 1: a lot of what we've seen and certainly what's in 537 00:31:19,920 --> 00:31:23,080 Speaker 1: the headlines now, you could argue that doesn't really even 538 00:31:23,120 --> 00:31:25,480 Speaker 1: have to do with with crypto like that. That's an 539 00:31:25,480 --> 00:31:29,680 Speaker 1: old story as old as as as human kind. But 540 00:31:29,760 --> 00:31:33,240 Speaker 1: it happens when you have a newly developed market that 541 00:31:33,400 --> 00:31:37,720 Speaker 1: is unregulated or underregulated and that you know, has a 542 00:31:37,760 --> 00:31:40,040 Speaker 1: lot of promise, gets a lot of people excited, but 543 00:31:40,120 --> 00:31:43,840 Speaker 1: the lack of regulation also creates creates the opportunity for fraud. 544 00:31:43,920 --> 00:31:47,200 Speaker 1: And you know that that's a very old story that 545 00:31:47,320 --> 00:31:51,479 Speaker 1: keeps getting repeated, but just with different circumstances. And you know, 546 00:31:51,600 --> 00:31:54,360 Speaker 1: when I look at this year, I kind of think 547 00:31:54,360 --> 00:31:59,200 Speaker 1: back to two thousands. You know, it was a different technology, 548 00:31:59,200 --> 00:32:02,560 Speaker 1: but there are similarities, right, and and and that translates 549 00:32:02,560 --> 00:32:05,120 Speaker 1: not just into crypto but the meme stocks in general. 550 00:32:05,640 --> 00:32:08,880 Speaker 1: And it just shows you that speculation. You know, you know, 551 00:32:09,120 --> 00:32:12,120 Speaker 1: people learn from their mistakes, but they don't learn it 552 00:32:12,160 --> 00:32:15,240 Speaker 1: for very long or or the next generation then has 553 00:32:15,280 --> 00:32:17,520 Speaker 1: to learn it from scratch, which and that's why these 554 00:32:17,560 --> 00:32:22,160 Speaker 1: bubbles tend to be spaced a couple of decades apart um. 555 00:32:22,680 --> 00:32:25,040 Speaker 1: I think that will be you know, there is still 556 00:32:25,040 --> 00:32:28,920 Speaker 1: a future. I think there will be another wave coming. 557 00:32:29,000 --> 00:32:31,680 Speaker 1: I don't know when it it happens. Usually when you 558 00:32:31,720 --> 00:32:34,800 Speaker 1: see the kind of winter that we're seeing now and 559 00:32:34,840 --> 00:32:36,719 Speaker 1: that we saw, for instance, in two thousand and one 560 00:32:36,760 --> 00:32:39,440 Speaker 1: and two for tech stocks, it does take a couple 561 00:32:39,480 --> 00:32:42,840 Speaker 1: of years for uh kind of those animal spirits to 562 00:32:42,920 --> 00:32:46,600 Speaker 1: come back. I think, you know, the next wave, when 563 00:32:46,640 --> 00:32:50,760 Speaker 1: it happens, will be the one that's based on hopefully 564 00:32:50,800 --> 00:32:55,000 Speaker 1: prudent regulation that gives you know, institutions, um and other 565 00:32:55,240 --> 00:32:59,040 Speaker 1: investors a sense that, Okay, the water is safe in 566 00:32:59,080 --> 00:33:01,880 Speaker 1: that sense that to play in. And then it's a 567 00:33:01,960 --> 00:33:05,880 Speaker 1: question of you know, again using the dot com boom 568 00:33:05,880 --> 00:33:09,960 Speaker 1: and bubble as an example, is which ones which tokens 569 00:33:10,040 --> 00:33:13,320 Speaker 1: or which assets are the pets dot COM's of the 570 00:33:13,400 --> 00:33:16,640 Speaker 1: nineties and which ones are the Apples and the Amazons 571 00:33:17,240 --> 00:33:20,360 Speaker 1: because Apple and Amazon and Google will Google was launched 572 00:33:20,400 --> 00:33:23,400 Speaker 1: after but those all had very large draw downs, but 573 00:33:23,480 --> 00:33:26,480 Speaker 1: they all came back, and Apple is now sevent of 574 00:33:26,520 --> 00:33:30,800 Speaker 1: the NASDAC And so I think it's it's separating the 575 00:33:31,280 --> 00:33:35,000 Speaker 1: ones that are you know, that are long term market 576 00:33:35,040 --> 00:33:37,560 Speaker 1: share leaders from from the ones that were kind of 577 00:33:37,560 --> 00:33:40,760 Speaker 1: a flash in the pen. I think that's being separated 578 00:33:40,840 --> 00:33:42,880 Speaker 1: right now, of course as we speak, and the fact 579 00:33:42,880 --> 00:33:45,880 Speaker 1: that Bitcoin, even though it's down a lot, is still 580 00:33:45,960 --> 00:33:48,880 Speaker 1: there um. And what's happened to you, of course in 581 00:33:48,880 --> 00:33:51,800 Speaker 1: the rest of the space, if anything is is is 582 00:33:51,960 --> 00:33:56,640 Speaker 1: um justification for why bitcoin was better than all the 583 00:33:56,680 --> 00:33:59,280 Speaker 1: other stuff? Um. So I think all of that will 584 00:33:59,320 --> 00:34:03,080 Speaker 1: be sorted out. But but these these massive cycles take 585 00:34:03,120 --> 00:34:06,680 Speaker 1: time to to to play out. Do you think a 586 00:34:06,800 --> 00:34:09,600 Speaker 1: much lower interest rates are pre prerequisite to get those 587 00:34:09,640 --> 00:34:12,799 Speaker 1: animal spirits going again? Well? So, you know, for for 588 00:34:12,880 --> 00:34:15,320 Speaker 1: crypto assets, of course, it's all about the network, and 589 00:34:15,320 --> 00:34:17,920 Speaker 1: I'm glad you just mentioned that, um, And certainly for 590 00:34:18,000 --> 00:34:20,880 Speaker 1: bitcoin it's about the adoption curve, right, and that and 591 00:34:20,920 --> 00:34:23,759 Speaker 1: I've done work on this looking at god knows real 592 00:34:23,840 --> 00:34:26,640 Speaker 1: road miles, you know from a hundred and fifty years ago, 593 00:34:26,960 --> 00:34:29,920 Speaker 1: or you know, or the our cell phone adoption or 594 00:34:30,000 --> 00:34:34,120 Speaker 1: internet adoption. And so bitcoin and other cryptos follow that 595 00:34:34,520 --> 00:34:38,520 Speaker 1: adoption curve. And that curve is going to grow on 596 00:34:38,520 --> 00:34:41,480 Speaker 1: on a micro level because of the use case of 597 00:34:41,520 --> 00:34:44,520 Speaker 1: the token or the asset, but it can certainly be 598 00:34:44,680 --> 00:34:48,319 Speaker 1: sped up or slowed down by macro right, and so 599 00:34:48,400 --> 00:34:51,719 Speaker 1: the macro was very favorable in because you know the 600 00:34:51,760 --> 00:34:54,360 Speaker 1: money printer stuff and all that, and of course it 601 00:34:54,480 --> 00:34:58,280 Speaker 1: was very unfavorable in. And so I think the macro 602 00:34:58,560 --> 00:35:02,880 Speaker 1: of real rates and at policy matters because they can 603 00:35:02,920 --> 00:35:05,640 Speaker 1: speed up or slow down the adoption curve, but ultimately 604 00:35:05,680 --> 00:35:09,560 Speaker 1: the adoption curve has to grow on its own. And 605 00:35:09,600 --> 00:35:13,040 Speaker 1: so those are the two dimensions that I look at. Vildonna. 606 00:35:13,160 --> 00:35:18,120 Speaker 1: You know where animal spirits are always present, the camel market. 607 00:35:18,400 --> 00:35:23,319 Speaker 1: Camel market. I was trying to find something clever to say, down, Wow, 608 00:35:25,239 --> 00:35:27,120 Speaker 1: that's well you're in. How about you? Have you seen 609 00:35:27,160 --> 00:35:29,960 Speaker 1: anything crazy in markets this week? Well, the year is 610 00:35:29,960 --> 00:35:34,319 Speaker 1: still young, so not so far this week, but we've 611 00:35:34,360 --> 00:35:37,560 Speaker 1: certainly seen plenty of crazy stuff. And part of it 612 00:35:37,600 --> 00:35:40,640 Speaker 1: I think is the result of the machines taking over 613 00:35:40,719 --> 00:35:43,839 Speaker 1: the short term flow. Right. If you think about how 614 00:35:43,960 --> 00:35:47,520 Speaker 1: much of the options value in the SMP has a 615 00:35:48,320 --> 00:35:51,320 Speaker 1: maturity or an exploration like less than forty eight hours, 616 00:35:51,360 --> 00:35:53,840 Speaker 1: I mean that we used to never see that happen, 617 00:35:54,320 --> 00:35:56,840 Speaker 1: and so it creates a lot of volatility. And I remember, 618 00:35:56,880 --> 00:35:59,200 Speaker 1: you know the October thirteen low, which so far is 619 00:35:59,280 --> 00:36:01,120 Speaker 1: the low for the SMP. I don't know if it's 620 00:36:01,120 --> 00:36:03,839 Speaker 1: going to stay that way. But uh, in the two days, 621 00:36:03,880 --> 00:36:06,120 Speaker 1: you know, we had that very big reversal and I 622 00:36:06,120 --> 00:36:08,440 Speaker 1: think the SMP was up something like seven percent in 623 00:36:08,480 --> 00:36:11,360 Speaker 1: two days. But the meme stocks, you know, the Goldman 624 00:36:11,400 --> 00:36:17,279 Speaker 1: Sachs nonprofitable growth basket, I think it was up in 625 00:36:17,360 --> 00:36:20,600 Speaker 1: two days. And that's just that's not normal. And that's 626 00:36:20,680 --> 00:36:23,400 Speaker 1: the machines, right, that is the algoes and the machines 627 00:36:23,480 --> 00:36:27,279 Speaker 1: taking over. And I think it's important for regular investors 628 00:36:27,440 --> 00:36:30,560 Speaker 1: not to get kind of swept away by that, thinking like, 629 00:36:30,600 --> 00:36:32,560 Speaker 1: oh my god, something is happening and I'm missing it. 630 00:36:32,600 --> 00:36:36,080 Speaker 1: But no, it's it's it's options and machines and stuff 631 00:36:36,120 --> 00:36:39,680 Speaker 1: like that. Yeah, fascinating stuff. Urian Simmer had a global 632 00:36:39,719 --> 00:36:42,480 Speaker 1: macro at Fideliti. Really great to catch up with you, 633 00:36:42,520 --> 00:36:45,200 Speaker 1: and I hope we can bring you back again sometimes great. Well, 634 00:36:45,200 --> 00:36:53,960 Speaker 1: thank you for having thank you for coming on What 635 00:36:54,120 --> 00:36:56,160 Speaker 1: Goes Up. We'll be back next week. And so then 636 00:36:56,200 --> 00:36:58,480 Speaker 1: you can find us on the Bloomberg Terminal, website and 637 00:36:58,640 --> 00:37:01,880 Speaker 1: app where wherever you get your podcast. We love it 638 00:37:01,920 --> 00:37:03,680 Speaker 1: if you took the time to rate and review the 639 00:37:03,680 --> 00:37:06,680 Speaker 1: show on Apple Podcasts, so more listeners can find us 640 00:37:07,239 --> 00:37:09,440 Speaker 1: and you can find us on Twitter, follow me at 641 00:37:09,480 --> 00:37:14,040 Speaker 1: reag Anonymous Bildonna hierarch Is at Bldonna Hirach. You can 642 00:37:14,080 --> 00:37:18,719 Speaker 1: also follow Bloomberg Podcasts at Podcasts. What Goes Up is 643 00:37:18,760 --> 00:37:21,400 Speaker 1: produced by Stacy Wong. Thanks for listening, to see you 644 00:37:21,440 --> 00:37:21,839 Speaker 1: next time.