1 00:00:00,840 --> 00:00:04,000 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:05,240 Speaker 1: my co host Matt Miller. 3 00:00:05,640 --> 00:00:09,600 Speaker 2: Every business day we bring you interviews from CEOs, market pros, 4 00:00:09,720 --> 00:00:13,600 Speaker 2: and Bloomberg experts, along with essential market moving news. 5 00:00:14,160 --> 00:00:17,279 Speaker 1: Find the Bloomberg Markets podcast called Apple Podcasts or wherever 6 00:00:17,360 --> 00:00:20,480 Speaker 1: you listen to podcasts, and at Bloomberg dot com slash podcast. 7 00:00:21,000 --> 00:00:22,880 Speaker 2: Kielta's CEO Ta's Asset Management. 8 00:00:22,880 --> 00:00:25,560 Speaker 1: He joins us here in our Bloomberg Interactive Broker studio. 9 00:00:25,560 --> 00:00:27,920 Speaker 1: And if you spelled your name t Oe w S 10 00:00:28,280 --> 00:00:29,720 Speaker 1: No way am I getting Ta's out of that? 11 00:00:29,800 --> 00:00:31,479 Speaker 3: Yeah? So actually there's a V in there. It's like 12 00:00:31,520 --> 00:00:33,440 Speaker 3: waves of the ocean with a T. 13 00:00:33,960 --> 00:00:34,559 Speaker 2: Where's that from? 14 00:00:34,840 --> 00:00:35,279 Speaker 4: Where do you get? 15 00:00:35,880 --> 00:00:36,000 Speaker 5: Oh? 16 00:00:36,080 --> 00:00:38,120 Speaker 3: Yeah, well would have been an o um lot, which 17 00:00:38,159 --> 00:00:41,159 Speaker 3: is pronounceable in the English language, And so they converted 18 00:00:41,159 --> 00:00:43,840 Speaker 3: it to something that people could say, but not like say, 19 00:00:43,920 --> 00:00:45,400 Speaker 3: if you look at the spelling right. 20 00:00:45,520 --> 00:00:52,000 Speaker 2: So yeah, despite for example, koenig or which means king. 21 00:00:53,200 --> 00:00:56,600 Speaker 2: You know, it's just impossible, even for someone like me 22 00:00:56,640 --> 00:00:58,760 Speaker 2: who spent ten years living in Germany, I can never 23 00:00:58,840 --> 00:01:01,800 Speaker 2: pronounce the O with an O out over it. So 24 00:01:03,080 --> 00:01:04,600 Speaker 2: I think tas is the only. 25 00:01:04,440 --> 00:01:06,319 Speaker 3: Choice Yeah, so we're going all in. We're trying to 26 00:01:06,319 --> 00:01:10,000 Speaker 3: get lows to change their pronunciation, like we're like, we're 27 00:01:10,000 --> 00:01:10,560 Speaker 3: on a mission. 28 00:01:10,680 --> 00:01:13,039 Speaker 1: Yeah, I just because I totally you weared your name 29 00:01:13,160 --> 00:01:16,039 Speaker 1: a little earlier today. But I'm not apologizing because there's 30 00:01:16,120 --> 00:01:17,160 Speaker 1: no way you get tased out of that. 31 00:01:17,160 --> 00:01:18,160 Speaker 2: But I'll go with it. 32 00:01:18,280 --> 00:01:20,520 Speaker 1: You're in our studio. We appreciate you coming in. Yeah, 33 00:01:20,560 --> 00:01:22,240 Speaker 1: what are you doing with this market here? 34 00:01:22,520 --> 00:01:22,759 Speaker 2: Phil? 35 00:01:22,800 --> 00:01:25,240 Speaker 1: I mean people were just kind of figuring we're going 36 00:01:25,280 --> 00:01:27,160 Speaker 1: to the moon a few weeks ago, and then August 37 00:01:27,240 --> 00:01:28,039 Speaker 1: has a been so great? 38 00:01:28,080 --> 00:01:28,360 Speaker 4: What are you? 39 00:01:28,480 --> 00:01:29,360 Speaker 2: How are you thinking about it? 40 00:01:29,480 --> 00:01:29,720 Speaker 4: Yeah? 41 00:01:29,800 --> 00:01:34,200 Speaker 3: So it's you know, the markets are just big optimism machines. 42 00:01:34,200 --> 00:01:35,880 Speaker 3: I don't know, do we get that? Yeah, And so 43 00:01:35,880 --> 00:01:38,040 Speaker 3: there can be a couple of things that that cause 44 00:01:38,080 --> 00:01:40,680 Speaker 3: a dentin optimism. We all know about China rates. You know, 45 00:01:40,720 --> 00:01:42,880 Speaker 3: I'm not loving the move higher in the tenure again 46 00:01:42,920 --> 00:01:46,160 Speaker 3: today to sort of fresh highs. That's definitely weighing on it. 47 00:01:46,200 --> 00:01:48,320 Speaker 3: Are there going to be things that develop as a 48 00:01:48,320 --> 00:01:50,120 Speaker 3: result of those higher rates like we saw back in 49 00:01:50,200 --> 00:01:53,280 Speaker 3: March with the regional bank issues. We don't know. At 50 00:01:53,280 --> 00:01:55,240 Speaker 3: the same time, it feels to me a little bit 51 00:01:55,360 --> 00:01:59,120 Speaker 3: like pulling the hair nail off the finger. Is a 52 00:01:59,200 --> 00:02:01,120 Speaker 3: time to buy in this streets. You know, there's no 53 00:02:01,160 --> 00:02:03,120 Speaker 3: blood in the streets, right, And if we could make 54 00:02:03,120 --> 00:02:05,400 Speaker 3: it through the regional banking issue, why not this? 55 00:02:06,120 --> 00:02:07,520 Speaker 2: Uh Really, it's. 56 00:02:07,320 --> 00:02:09,160 Speaker 3: Interesting you're talking about in video because I think what 57 00:02:09,200 --> 00:02:11,200 Speaker 3: we need is just a little injection of something that 58 00:02:11,240 --> 00:02:13,320 Speaker 3: creates optimism. So if you get a really good report 59 00:02:13,360 --> 00:02:15,960 Speaker 3: out of that, because the AI theme going again, I 60 00:02:15,960 --> 00:02:18,359 Speaker 3: can think we could rally out of this. However, we 61 00:02:18,400 --> 00:02:22,000 Speaker 3: actually went defensive on our US stocks, which means fully 62 00:02:22,000 --> 00:02:23,320 Speaker 3: defensive last week. 63 00:02:23,639 --> 00:02:25,679 Speaker 1: What's the defensive stock for you mean? Is it a 64 00:02:25,680 --> 00:02:27,000 Speaker 1: big bounce, lots of cash? 65 00:02:27,040 --> 00:02:27,799 Speaker 2: What's what's it mean? 66 00:02:27,919 --> 00:02:30,840 Speaker 3: So hey, when we say defensive, we mean defensive like 67 00:02:30,880 --> 00:02:33,600 Speaker 3: as in T bills. Oh right, So we have a 68 00:02:33,600 --> 00:02:36,400 Speaker 3: bunch of different funds we have. We have an option 69 00:02:36,480 --> 00:02:39,440 Speaker 3: hedged ETF and we're SKY that's always in the markets, 70 00:02:39,480 --> 00:02:41,920 Speaker 3: but hedged right with options. But we have a couple 71 00:02:41,919 --> 00:02:44,880 Speaker 3: of funds too that can go fully fully out of 72 00:02:44,919 --> 00:02:47,280 Speaker 3: the markets. And so those went out of the markets 73 00:02:47,320 --> 00:02:49,440 Speaker 3: in T bills. We can also be in aggregate bonds 74 00:02:49,440 --> 00:02:51,080 Speaker 3: and other types of things. Of those win into T bills. 75 00:02:51,120 --> 00:02:54,680 Speaker 3: That's purely just reactive to price trends, and so we 76 00:02:54,680 --> 00:02:56,520 Speaker 3: don't know what's going to happen. So that's you know, 77 00:02:56,560 --> 00:02:58,760 Speaker 3: that's the perspective we bring, is that we we have 78 00:02:58,840 --> 00:03:01,160 Speaker 3: fun talking about the market, but we can actually make 79 00:03:01,240 --> 00:03:03,760 Speaker 3: huge shifts, so we don't care as much as a 80 00:03:03,800 --> 00:03:06,200 Speaker 3: normal market player if things fall off the rails because 81 00:03:06,200 --> 00:03:08,360 Speaker 3: we can can you know, hedge against that. 82 00:03:08,800 --> 00:03:11,120 Speaker 2: You can understand though, why the market's an optimism machine 83 00:03:11,120 --> 00:03:13,640 Speaker 2: if you just look at any long term chart of 84 00:03:14,240 --> 00:03:17,120 Speaker 2: you know, the Dow or the S and P five hundred. 85 00:03:17,240 --> 00:03:21,040 Speaker 2: I mean, obviously over the long term it's going up 86 00:03:21,080 --> 00:03:24,600 Speaker 2: into the right do you think the other you know, 87 00:03:24,680 --> 00:03:27,959 Speaker 2: four hundred and ninety three stocks and the S and 88 00:03:28,000 --> 00:03:29,880 Speaker 2: P are going to start to catch up with the 89 00:03:29,919 --> 00:03:32,440 Speaker 2: top seven? Maybe? 90 00:03:32,520 --> 00:03:34,200 Speaker 3: And you know it was broadening up before we saw 91 00:03:34,240 --> 00:03:36,440 Speaker 3: this little move down in the last three weeks or so, 92 00:03:36,440 --> 00:03:39,560 Speaker 3: so maybe. But when I say optimism machine, it's sort 93 00:03:39,560 --> 00:03:41,320 Speaker 3: of like a little different take on it in the 94 00:03:41,360 --> 00:03:44,640 Speaker 3: sense that as fast as you can go from optimism 95 00:03:44,680 --> 00:03:47,400 Speaker 3: to pessimism, you can go from a great market to 96 00:03:48,000 --> 00:03:51,640 Speaker 3: significant losses, right, And so I think everyone looks at 97 00:03:51,640 --> 00:03:54,960 Speaker 3: the fundamentals and just puts so much weight on that, 98 00:03:55,280 --> 00:03:57,160 Speaker 3: and you know, over the long term that is that 99 00:03:57,200 --> 00:04:00,320 Speaker 3: does weigh heavily. But it's really all about what sent is, 100 00:04:00,360 --> 00:04:03,840 Speaker 3: what the vibe is. And you know, you could argue 101 00:04:03,840 --> 00:04:05,400 Speaker 3: that we shouldn't be as high as we are right 102 00:04:05,440 --> 00:04:07,320 Speaker 3: now and the seven stock shouldn't have let us where 103 00:04:07,320 --> 00:04:09,240 Speaker 3: we are, but it is the way it is based 104 00:04:09,240 --> 00:04:11,920 Speaker 3: on just market momentum. And you know, I think fifteen 105 00:04:11,920 --> 00:04:13,800 Speaker 3: percent year to date on the S and P is 106 00:04:13,840 --> 00:04:16,000 Speaker 3: still awesome compared to those te bills that we just 107 00:04:16,040 --> 00:04:18,360 Speaker 3: did into last week, and so that could be enough. 108 00:04:18,400 --> 00:04:20,640 Speaker 3: If we just go bring it up another couple percent 109 00:04:21,720 --> 00:04:23,520 Speaker 3: and see the market take off, it could be enough 110 00:04:23,520 --> 00:04:24,599 Speaker 3: to get us back on the road again. 111 00:04:24,680 --> 00:04:27,840 Speaker 2: The cool thing about treasuries is if you get in, 112 00:04:28,080 --> 00:04:29,640 Speaker 2: you know, at a great rate, and what are you 113 00:04:29,640 --> 00:04:33,680 Speaker 2: getting on the tee bills? Like five percent? Sure, I 114 00:04:33,720 --> 00:04:36,320 Speaker 2: guess in that sense you have reinvestment risk, but if 115 00:04:36,360 --> 00:04:39,160 Speaker 2: you go a little bit out the curve, you could 116 00:04:39,279 --> 00:04:41,599 Speaker 2: top tick the rate and so not only are you 117 00:04:41,680 --> 00:04:46,679 Speaker 2: getting a decent return, but you're gonna get capital appreciation. 118 00:04:46,240 --> 00:04:48,080 Speaker 3: Right totally, And I think there will be a day 119 00:04:48,120 --> 00:04:49,960 Speaker 3: for that. I'm not sure it's right now. Though I'm 120 00:04:50,000 --> 00:04:51,680 Speaker 3: not trying to love that trade because just you know, 121 00:04:51,720 --> 00:04:52,919 Speaker 3: if we don't hit it, don't hit it into our 122 00:04:52,960 --> 00:04:56,320 Speaker 3: session and the market normalizes, the yield curve normalizes. I mean, 123 00:04:56,360 --> 00:04:57,640 Speaker 3: I think you're still sort of where we are on 124 00:04:57,680 --> 00:04:58,760 Speaker 3: the tenure potentially. 125 00:04:58,920 --> 00:05:00,960 Speaker 2: So don't I don't know, to get into a recession. 126 00:05:00,960 --> 00:05:04,039 Speaker 2: If the FED really wants to control inflation, don't they 127 00:05:04,080 --> 00:05:06,600 Speaker 2: have to push us into a recession. 128 00:05:06,880 --> 00:05:09,320 Speaker 3: I mean that go back into the optimism machine questions 129 00:05:09,160 --> 00:05:10,840 Speaker 3: is like, so many people think maybe it's not gonna 130 00:05:10,839 --> 00:05:15,440 Speaker 3: happen now, So I mean, look, I mean it's it's 131 00:05:15,480 --> 00:05:17,600 Speaker 3: the one thing that's that's interesting is it's so hard 132 00:05:17,600 --> 00:05:20,080 Speaker 3: to make these market calls, these economic calls, because so 133 00:05:20,120 --> 00:05:22,760 Speaker 3: many times, you know, over the last ten fifteen years, 134 00:05:22,800 --> 00:05:24,600 Speaker 3: you see something seems obvious and then it goes the 135 00:05:24,640 --> 00:05:25,000 Speaker 3: other way. 136 00:05:25,080 --> 00:05:27,200 Speaker 2: But you know, the fore most optimistic words in the 137 00:05:27,200 --> 00:05:30,600 Speaker 2: English language, what are those? It's different this time? 138 00:05:30,640 --> 00:05:33,280 Speaker 3: Oh yeah, of course, no, I get that. I get that. 139 00:05:33,640 --> 00:05:36,680 Speaker 1: Yeah, all right, So what's the catalysts or catalyst plural 140 00:05:37,040 --> 00:05:38,840 Speaker 1: that would take some of that ninety percent of your 141 00:05:38,920 --> 00:05:41,599 Speaker 1: assets sets in cash now and deployed into. 142 00:05:41,440 --> 00:05:43,480 Speaker 3: This Okay, So all would take is a trend higher, right, 143 00:05:43,520 --> 00:05:46,320 Speaker 3: so good good get good in video earnings gets enough. 144 00:05:46,680 --> 00:05:48,920 Speaker 3: Maybe maybe it's not so much what good news could happen, 145 00:05:48,960 --> 00:05:51,880 Speaker 3: but whether we see receiving bad news, especially out of China, 146 00:05:51,920 --> 00:05:54,040 Speaker 3: And I mean, uh, you know, it's hard to make 147 00:05:54,080 --> 00:05:57,279 Speaker 3: the connection between all this bad news and shadow banks 148 00:05:57,279 --> 00:05:59,479 Speaker 3: and everything in China and how it could actually impact 149 00:05:59,720 --> 00:06:02,240 Speaker 3: US investors. And I think that's what we're all waiting for, 150 00:06:02,480 --> 00:06:04,520 Speaker 3: right because a credit crisis, it's all about things that 151 00:06:04,600 --> 00:06:06,799 Speaker 3: seemed like it's not going to really affect the markets broadly, 152 00:06:06,960 --> 00:06:09,280 Speaker 3: and then all of a sudden it totally does, like 153 00:06:09,520 --> 00:06:13,400 Speaker 3: financial crisis everything else like that. So I think, you know, 154 00:06:13,640 --> 00:06:18,120 Speaker 3: some good earnings, see the ten years stop going higher. 155 00:06:18,520 --> 00:06:21,000 Speaker 3: You know, we're four point thirty two. If we could 156 00:06:21,040 --> 00:06:24,320 Speaker 3: stay there, I think that could potentially be enough. Okay, 157 00:06:24,360 --> 00:06:26,960 Speaker 3: We've got bad couple of months seasonality coming up in 158 00:06:27,000 --> 00:06:30,320 Speaker 3: September and October, so maybe if. 159 00:06:30,240 --> 00:06:34,440 Speaker 1: You remember that, all right, so you know, how about 160 00:06:34,440 --> 00:06:37,000 Speaker 1: a pullback in this market? Is there a evaluation call here? 161 00:06:37,040 --> 00:06:38,760 Speaker 1: We just kind of got through the earning cycle, We 162 00:06:39,000 --> 00:06:41,960 Speaker 1: kind of got reset on earning's outlooks from a lot 163 00:06:41,960 --> 00:06:44,159 Speaker 1: of these companies is what did you take away from 164 00:06:44,160 --> 00:06:45,599 Speaker 1: the earning season we just got through. 165 00:06:45,760 --> 00:06:48,200 Speaker 3: Well, I mean, I think it's enough to keep us 166 00:06:48,240 --> 00:06:50,839 Speaker 3: going in the Bowl market, Like I don't think. I 167 00:06:50,880 --> 00:06:53,919 Speaker 3: don't think we weren't hit too hard in any particular place. 168 00:06:54,640 --> 00:06:56,600 Speaker 3: So I think it's enough to keep us going. And 169 00:06:57,360 --> 00:06:59,440 Speaker 3: you know, so I'm talking really here when I talk 170 00:06:59,480 --> 00:07:01,640 Speaker 3: about where the markets are going, it's all really basically 171 00:07:01,680 --> 00:07:03,360 Speaker 3: short term. Short term. I'm thinking about it what the 172 00:07:03,360 --> 00:07:05,600 Speaker 3: next three months six months is, because that's all people 173 00:07:05,640 --> 00:07:06,479 Speaker 3: seem to care about. 174 00:07:06,600 --> 00:07:06,760 Speaker 4: Right. 175 00:07:07,080 --> 00:07:10,119 Speaker 3: There are much bigger issues, and I think China plays 176 00:07:10,160 --> 00:07:13,160 Speaker 3: into that in terms of global debt. You've seen the 177 00:07:13,200 --> 00:07:16,480 Speaker 3: movie Interstellar where Matthew McConaughey's there on his spaceship and. 178 00:07:16,400 --> 00:07:18,720 Speaker 2: It's like eight times there's this there's what looks like. 179 00:07:18,640 --> 00:07:21,400 Speaker 3: A mountainscape in the background, and then they figure out 180 00:07:21,480 --> 00:07:25,280 Speaker 3: us a giant wave. Yes, okay, So here's the pessimistic 181 00:07:25,480 --> 00:07:28,600 Speaker 3: Felipe coming out, which is that that's still there right 182 00:07:28,640 --> 00:07:30,920 Speaker 3: in these record global debt. The presentation I've been doing 183 00:07:30,960 --> 00:07:33,680 Speaker 3: all across the country this year is the hidden implications 184 00:07:33,720 --> 00:07:35,360 Speaker 3: of global debt. And so if you want to zoom 185 00:07:35,400 --> 00:07:37,360 Speaker 3: out a bit for if you'll go there and not 186 00:07:37,480 --> 00:07:40,520 Speaker 3: care about next month. I think those are some huge implications. 187 00:07:40,560 --> 00:07:43,920 Speaker 3: And and you know China, they're they're well to GDP 188 00:07:44,120 --> 00:07:47,280 Speaker 3: is around eight eight x. So the only time we've 189 00:07:47,280 --> 00:07:51,400 Speaker 3: seen that historically is in Japan back in nineteen eighty nine, 190 00:07:51,480 --> 00:07:54,400 Speaker 3: the last time that they had a good stock market. Right, 191 00:07:54,640 --> 00:07:56,720 Speaker 3: and so that you know, you have three x in 192 00:07:56,760 --> 00:08:00,680 Speaker 3: the US. And so bringing that demand li equation back 193 00:08:00,680 --> 00:08:04,080 Speaker 3: into bounds, which means bringing wealth down and GDP up, 194 00:08:05,240 --> 00:08:07,040 Speaker 3: that can sometimes be painfulfully that. 195 00:08:07,920 --> 00:08:11,280 Speaker 2: Just and right, Yeah, it could be leaving wealth there 196 00:08:11,320 --> 00:08:12,400 Speaker 2: and bringing GDP up. 197 00:08:12,440 --> 00:08:15,040 Speaker 3: Potentially we can have a whole conversation about that because 198 00:08:15,040 --> 00:08:16,600 Speaker 3: I've got like a whole hour presentation. I can make 199 00:08:16,600 --> 00:08:18,280 Speaker 3: it into five minutes for you guys if you want so. 200 00:08:18,720 --> 00:08:20,240 Speaker 2: All right, so we don't have time now, but I 201 00:08:20,280 --> 00:08:22,400 Speaker 2: want to see that presentation the next time you're going 202 00:08:22,480 --> 00:08:22,800 Speaker 2: to give it. 203 00:08:22,880 --> 00:08:24,600 Speaker 3: Well, so I do it, just I do it in person. 204 00:08:24,960 --> 00:08:25,920 Speaker 3: You know that's happening. 205 00:08:25,920 --> 00:08:27,240 Speaker 2: Oh, I see we have to hire you to come 206 00:08:27,240 --> 00:08:27,840 Speaker 2: into the office. 207 00:08:27,880 --> 00:08:29,800 Speaker 3: Yeah, right, yeah, how that'd be awesome. 208 00:08:29,920 --> 00:08:33,680 Speaker 2: All right, thirty seconds the FED, what are they gonna 209 00:08:33,679 --> 00:08:36,600 Speaker 2: do next? Well? Next, next, Thursday. What are they gonna 210 00:08:36,640 --> 00:08:37,640 Speaker 2: do on Friday? 211 00:08:37,679 --> 00:08:41,280 Speaker 1: Sorry etentally, but I mean assom nothing there So, but. 212 00:08:41,760 --> 00:08:43,120 Speaker 3: That's what I think. I mean. There have been a 213 00:08:43,120 --> 00:08:44,680 Speaker 3: couple of times this year when I've said it totally 214 00:08:44,679 --> 00:08:46,920 Speaker 3: doesn't matter what Powell says, and he says something important 215 00:08:46,920 --> 00:08:48,559 Speaker 3: and the market's really changed, so I have to I think. 216 00:08:48,559 --> 00:08:49,800 Speaker 3: I mean, I said that the last time I was 217 00:08:49,800 --> 00:08:54,400 Speaker 3: on with you guys. So I think just just like 218 00:08:54,840 --> 00:08:57,120 Speaker 3: nothing Burger is where we are in terms of like 219 00:08:57,280 --> 00:09:00,480 Speaker 3: because we're all expecting a you know, maybe another twenty 220 00:09:00,480 --> 00:09:03,640 Speaker 3: five BIPs out of the fad. It's just not the 221 00:09:03,640 --> 00:09:05,440 Speaker 3: same Newsmaker was over the past. 222 00:09:05,480 --> 00:09:05,680 Speaker 4: World. 223 00:09:05,679 --> 00:09:07,640 Speaker 2: We're going to turn that narrative around because otherwise, why 224 00:09:07,679 --> 00:09:09,960 Speaker 2: are we saying the whole surveillance team there? Exactly in 225 00:09:10,000 --> 00:09:13,000 Speaker 2: Michael mckeasey, it's gonna be the most important FED gathering 226 00:09:13,040 --> 00:09:14,640 Speaker 2: that we've had all year long. 227 00:09:15,559 --> 00:09:17,640 Speaker 1: Whatever Fisher out there they're running, we'll call it that. 228 00:09:17,840 --> 00:09:20,040 Speaker 1: Phil Tays, thanks so much for joining us. Phil Taste 229 00:09:20,120 --> 00:09:22,360 Speaker 1: is the CEO of Tay's Asset Management. 230 00:09:23,400 --> 00:09:26,760 Speaker 6: You're listening to the Team Ken's Are Live program Bloomberg 231 00:09:26,880 --> 00:09:30,280 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg dot Com, 232 00:09:30,320 --> 00:09:33,440 Speaker 6: the iHeartRadio app, and the Bloomberg Business app, or listen 233 00:09:33,520 --> 00:09:35,640 Speaker 6: on demand wherever you get your podcasts. 234 00:09:37,520 --> 00:09:40,960 Speaker 1: Claudia sam joins us here founder and independent economist at 235 00:09:41,000 --> 00:09:42,960 Speaker 1: some consulting, but she was all over the place. She 236 00:09:43,040 --> 00:09:47,840 Speaker 1: was at the Federal Reserve, Senior conmfs of Council Economic Advisors, 237 00:09:47,840 --> 00:09:49,480 Speaker 1: at the White House, on and on and on. She's 238 00:09:49,520 --> 00:09:53,880 Speaker 1: got PhDs from Michigan, not the Ohio State University, but Michigan. 239 00:09:54,320 --> 00:09:56,480 Speaker 2: She went to Dennison undergrad That's most importantly. 240 00:09:56,640 --> 00:09:59,080 Speaker 1: That's most important because I read state the great state 241 00:09:59,080 --> 00:09:59,520 Speaker 1: of Ohio. 242 00:09:59,559 --> 00:10:02,000 Speaker 2: I was there for one ill fated year ninety one, 243 00:10:02,120 --> 00:10:02,640 Speaker 2: ninety two. 244 00:10:02,840 --> 00:10:05,880 Speaker 1: Didn't work out for you? No, did they ask you 245 00:10:05,920 --> 00:10:07,679 Speaker 1: to leave, mister Miller, it might be better. 246 00:10:07,480 --> 00:10:09,080 Speaker 2: For it was. 247 00:10:09,440 --> 00:10:14,120 Speaker 1: It was, I think a mutual agreement, and it's under 248 00:10:14,160 --> 00:10:15,240 Speaker 1: sealed and we can't go there. 249 00:10:15,559 --> 00:10:18,080 Speaker 2: Uh, Claudia, I would like to talk to you about heat. 250 00:10:18,160 --> 00:10:21,200 Speaker 1: It's hot out there, and not just in the southern 251 00:10:21,360 --> 00:10:23,440 Speaker 1: and western part of the United States, but all over 252 00:10:23,480 --> 00:10:26,719 Speaker 1: the world. It seems like what does heat mean for 253 00:10:26,800 --> 00:10:28,120 Speaker 1: this economy? 254 00:10:29,000 --> 00:10:29,160 Speaker 2: Right? 255 00:10:29,240 --> 00:10:32,280 Speaker 7: So the Bloomberg opinion piece that I wrote was focusing 256 00:10:32,320 --> 00:10:35,960 Speaker 7: on heat and its effects. In particularly it's economic effects. 257 00:10:36,160 --> 00:10:37,920 Speaker 7: Like we know there's a lot of human cost to 258 00:10:38,120 --> 00:10:41,160 Speaker 7: you know, heat waves and very high temperatures, and this 259 00:10:41,280 --> 00:10:43,840 Speaker 7: instead was looking at, okay, what are the effects of 260 00:10:43,840 --> 00:10:46,480 Speaker 7: this on the economy, And these can be even if 261 00:10:46,480 --> 00:10:49,240 Speaker 7: we're not the ones in a high heat area, it 262 00:10:49,280 --> 00:10:52,280 Speaker 7: can affect us, right if the labor productivity is lower, 263 00:10:52,320 --> 00:10:55,720 Speaker 7: growth is lower, costs of a lot of these goods, 264 00:10:55,800 --> 00:10:59,160 Speaker 7: you know, agriculture goods is higher. So the effects are 265 00:10:59,160 --> 00:11:03,400 Speaker 7: broad based. And when you start to go through the 266 00:11:03,640 --> 00:11:07,920 Speaker 7: list of all the ways that high heat, rising temperatures 267 00:11:08,080 --> 00:11:13,160 Speaker 7: affect labor productivity is a really long list, and there's 268 00:11:13,200 --> 00:11:17,559 Speaker 7: a lot of variation. Whether you're thinking about geographic where 269 00:11:18,080 --> 00:11:20,920 Speaker 7: Arizona and Texas are going to bear the brunt of this, 270 00:11:21,320 --> 00:11:24,240 Speaker 7: and they certainly, and there are effects the summer, Phoenix 271 00:11:24,320 --> 00:11:28,200 Speaker 7: is the hottest city in the country, right so, and 272 00:11:28,280 --> 00:11:32,959 Speaker 7: there's also industry differences. Agriculture is hard hit, but agriculture 273 00:11:33,000 --> 00:11:37,360 Speaker 7: is not the only place that workers are exposed to 274 00:11:37,480 --> 00:11:40,920 Speaker 7: high heat. I mean, twenty percent of US workers are 275 00:11:40,960 --> 00:11:43,440 Speaker 7: exposed to high heat. So you don't have to do 276 00:11:43,480 --> 00:11:46,040 Speaker 7: too much math to figure out if these workers are 277 00:11:46,760 --> 00:11:49,120 Speaker 7: having a rough time doing their work. It's going to 278 00:11:49,200 --> 00:11:52,480 Speaker 7: show up in a measurable way and growth well. 279 00:11:52,360 --> 00:11:55,840 Speaker 2: No construction. I was talking to some construction workers in 280 00:11:55,880 --> 00:11:59,520 Speaker 2: Texas who said they can't do the work during the day. 281 00:11:59,840 --> 00:12:01,800 Speaker 2: Was last month. They couldn't do the work during the 282 00:12:01,880 --> 00:12:05,000 Speaker 2: day because it was far too hot, and then they 283 00:12:05,040 --> 00:12:07,280 Speaker 2: try to do it at night, but they have their 284 00:12:07,320 --> 00:12:13,720 Speaker 2: noise issues in residential areas. So it really is incredibly 285 00:12:13,760 --> 00:12:16,480 Speaker 2: expensive and in some cases they can't even get jobs 286 00:12:16,520 --> 00:12:19,040 Speaker 2: done because when you're laying cement, for example, it's got 287 00:12:19,040 --> 00:12:21,760 Speaker 2: to cure in a certain way and the heat doesn't 288 00:12:21,760 --> 00:12:25,080 Speaker 2: allow it. In any case. It's not the only effect 289 00:12:25,160 --> 00:12:28,480 Speaker 2: of climate change, right The storms, the massive storms that 290 00:12:28,520 --> 00:12:33,480 Speaker 2: we're seeing, the wildfires that we're seeing, also have an effect, 291 00:12:33,520 --> 00:12:38,000 Speaker 2: and that just builds up the costs on the country. 292 00:12:38,040 --> 00:12:40,720 Speaker 2: Is this just, I guess, a new normal or worsening 293 00:12:40,760 --> 00:12:42,040 Speaker 2: normal that we have to get used to. 294 00:12:43,160 --> 00:12:45,800 Speaker 7: Right, So, there's a lot of arguments about why we 295 00:12:45,920 --> 00:12:49,000 Speaker 7: have this high heat, why we had these droughts, and 296 00:12:49,040 --> 00:12:51,360 Speaker 7: regardless of whether you get into the climate change debate, 297 00:12:51,400 --> 00:12:53,720 Speaker 7: which will get you to this problem will get worse. 298 00:12:54,160 --> 00:12:57,440 Speaker 7: Like right now, we are seeing cost because as you 299 00:12:57,480 --> 00:13:00,000 Speaker 7: said there's high heat, not just in the US. Europe 300 00:13:00,040 --> 00:13:02,760 Speaker 7: has really struggled with this also, and so it is 301 00:13:02,840 --> 00:13:06,240 Speaker 7: like these costs are here right now, you know, and 302 00:13:06,280 --> 00:13:08,600 Speaker 7: to the extent like you were saying the construction workers, 303 00:13:08,600 --> 00:13:11,600 Speaker 7: we can only adapt so much, right, and then it 304 00:13:11,640 --> 00:13:14,480 Speaker 7: really starts to bite on productivity. And we see it 305 00:13:14,520 --> 00:13:16,920 Speaker 7: in a lot of places like food. I mean, we 306 00:13:16,920 --> 00:13:18,280 Speaker 7: see this already a lot of times. 307 00:13:18,280 --> 00:13:21,199 Speaker 1: And we see it like within cities. So I'm looking 308 00:13:21,200 --> 00:13:24,160 Speaker 1: at your your opinion piece. Here in Washington, DC, there's 309 00:13:24,200 --> 00:13:28,160 Speaker 1: at times a seventeen degree difference between wealthy and poor 310 00:13:28,360 --> 00:13:29,679 Speaker 1: neighborhoods in Washington, d C. 311 00:13:30,280 --> 00:13:31,360 Speaker 2: How does that come about? 312 00:13:33,360 --> 00:13:35,120 Speaker 7: Well, one of the and I mean I double check 313 00:13:35,160 --> 00:13:39,640 Speaker 7: that number several times, right, Like that's just wow, seventeen degrees, 314 00:13:39,800 --> 00:13:42,680 Speaker 7: Like that's a big difference. So what happens in a 315 00:13:42,679 --> 00:13:46,560 Speaker 7: lot of cities is you get these heat islands. Right, 316 00:13:46,600 --> 00:13:49,400 Speaker 7: So in poor areas, you don't have the trees, you 317 00:13:49,440 --> 00:13:52,360 Speaker 7: don't have you know, the grass, the wider spaces to 318 00:13:52,440 --> 00:13:55,040 Speaker 7: kind of absorb that heat. Instead, in a lot of 319 00:13:55,040 --> 00:13:58,600 Speaker 7: these lower income it's just you've got the you know, concrete, 320 00:13:58,720 --> 00:14:01,280 Speaker 7: the buildings that absorb the heat. And then push it 321 00:14:01,360 --> 00:14:04,240 Speaker 7: back out right like it's and so that can make 322 00:14:04,280 --> 00:14:07,720 Speaker 7: a big difference in terms of uh, you know, these 323 00:14:07,760 --> 00:14:11,120 Speaker 7: these heat islands can be much hotter in some places 324 00:14:11,160 --> 00:14:12,680 Speaker 7: than others. And then it's like, well, what makes a 325 00:14:12,679 --> 00:14:13,320 Speaker 7: heat island? 326 00:14:13,720 --> 00:14:13,880 Speaker 4: Right? 327 00:14:14,000 --> 00:14:16,240 Speaker 7: Is this lack of vegetation and all of this. So 328 00:14:16,280 --> 00:14:18,600 Speaker 7: that's another There are lots of ways that this high 329 00:14:18,600 --> 00:14:22,960 Speaker 7: heat creates disparities across those with less income and those 330 00:14:23,000 --> 00:14:23,440 Speaker 7: with more. 331 00:14:24,320 --> 00:14:26,120 Speaker 1: Yeah, I know, like here in a metro New York area, 332 00:14:26,120 --> 00:14:27,880 Speaker 1: whenever they put up the maps on TV of the 333 00:14:27,960 --> 00:14:31,480 Speaker 1: of the temperatures, seems like always the highest temperatures Newark, 334 00:14:31,560 --> 00:14:33,800 Speaker 1: New Jersey, you know, by like three or four degrees 335 00:14:33,840 --> 00:14:34,920 Speaker 1: relative to everybody else. 336 00:14:35,040 --> 00:14:36,200 Speaker 2: Really, what about Midtown? 337 00:14:36,520 --> 00:14:39,240 Speaker 1: No, it's Newark is oil and I don't know why, 338 00:14:39,280 --> 00:14:41,520 Speaker 1: but the poor folks there have to deal with that sometimes. 339 00:14:41,600 --> 00:14:45,160 Speaker 2: Any case, it's a great piece, and I recommend if 340 00:14:45,160 --> 00:14:48,680 Speaker 2: you have a Bloomberg terminal type op I go if 341 00:14:48,720 --> 00:14:51,000 Speaker 2: you are are on the internet, you can just go 342 00:14:51,080 --> 00:14:54,480 Speaker 2: look at Bloomberg dot com and search for Cloudia some Cloudia. 343 00:14:54,800 --> 00:14:57,560 Speaker 2: I want to get to the FED because your your 344 00:14:57,600 --> 00:15:03,360 Speaker 2: psalm role has become famous. With three month moving average 345 00:15:03,360 --> 00:15:05,800 Speaker 2: of unemployment. When it rises by half a percent relative 346 00:15:05,840 --> 00:15:08,640 Speaker 2: to the low point during the previous twelve months, that 347 00:15:08,680 --> 00:15:13,640 Speaker 2: means the economy is contracting. How does it look to 348 00:15:13,640 --> 00:15:16,440 Speaker 2: you right now? We're not in a recession, but are 349 00:15:16,480 --> 00:15:17,240 Speaker 2: we headed for that? 350 00:15:19,480 --> 00:15:24,320 Speaker 7: So the labor market is pretty strong still right consumers 351 00:15:24,320 --> 00:15:28,040 Speaker 7: are still spending. That's almost seventy percent of GDP. So 352 00:15:28,160 --> 00:15:31,000 Speaker 7: it's pretty clear that we are not in a recession 353 00:15:31,320 --> 00:15:34,800 Speaker 7: right now. I think some of the conversation in Jackson Hole, 354 00:15:34,880 --> 00:15:36,880 Speaker 7: the decisions that are made by the Fed over the 355 00:15:36,880 --> 00:15:40,000 Speaker 7: coming months, I mean that could have a real impact 356 00:15:40,040 --> 00:15:42,840 Speaker 7: on whether we go into a recession or not. The 357 00:15:42,880 --> 00:15:45,840 Speaker 7: sam rule says nothing about where we are headed. And 358 00:15:45,880 --> 00:15:48,680 Speaker 7: there's been a lot of indicators that normally are pretty 359 00:15:48,720 --> 00:15:52,200 Speaker 7: good at saying a recession is coming that are really 360 00:15:52,280 --> 00:15:56,120 Speaker 7: flashing red. I think they're too pessimistic. 361 00:15:55,480 --> 00:15:55,640 Speaker 6: But. 362 00:15:57,680 --> 00:16:00,000 Speaker 7: There, you know, not being in a recession now is 363 00:16:00,240 --> 00:16:02,720 Speaker 7: no guarantee of not being in a recession end of 364 00:16:02,800 --> 00:16:04,360 Speaker 7: year going into next year. 365 00:16:04,720 --> 00:16:06,720 Speaker 2: Well, do we have to get into a recession in 366 00:16:06,800 --> 00:16:11,160 Speaker 2: order to the Fed? For the FED to really control inflation? 367 00:16:11,440 --> 00:16:15,680 Speaker 2: Is that a necessary part of getting inflation? The inflation 368 00:16:15,760 --> 00:16:16,800 Speaker 2: genie back in the Bottle. 369 00:16:18,800 --> 00:16:22,080 Speaker 7: I firmly disagree with the idea that we need a recession, 370 00:16:22,600 --> 00:16:27,360 Speaker 7: and that messaging has been very clear from the FED officials, and. 371 00:16:27,440 --> 00:16:28,120 Speaker 2: We don't need one. 372 00:16:28,200 --> 00:16:31,080 Speaker 7: We may get one, and if we get one, we 373 00:16:31,160 --> 00:16:33,520 Speaker 7: may see inflation come down a lot, but that does 374 00:16:33,560 --> 00:16:36,120 Speaker 7: not mean that we need one or needed one if 375 00:16:36,160 --> 00:16:40,800 Speaker 7: we get to that place. This special factor this time 376 00:16:41,080 --> 00:16:44,680 Speaker 7: is we are unwinding a lot of disruptions in the 377 00:16:44,720 --> 00:16:47,280 Speaker 7: economy from COVID. I mean, that's what a lot of 378 00:16:47,320 --> 00:16:51,240 Speaker 7: the disinflation we've seen this summer is coming from. That's 379 00:16:51,280 --> 00:16:55,200 Speaker 7: really giving the FED an assist here, right. It also 380 00:16:55,240 --> 00:16:57,720 Speaker 7: makes their job harder to figure out how much they 381 00:16:57,760 --> 00:17:00,560 Speaker 7: need to do. But if the stars all line and 382 00:17:00,600 --> 00:17:04,399 Speaker 7: they could, we have the ingredients. We don't have a 383 00:17:04,440 --> 00:17:06,639 Speaker 7: contraction where it's a very mild contraction. 384 00:17:07,160 --> 00:17:08,520 Speaker 1: And that's kind of where I think a lot of 385 00:17:08,560 --> 00:17:11,760 Speaker 1: folks are because they just look at the employment environment 386 00:17:11,800 --> 00:17:13,639 Speaker 1: and we're still at our near full employment. 387 00:17:14,080 --> 00:17:16,720 Speaker 2: How do you think about the labor market? Right? 388 00:17:16,720 --> 00:17:19,080 Speaker 7: So I found it fascinating that over the past two 389 00:17:19,160 --> 00:17:21,560 Speaker 7: years the markets have kind of like a recession is coming. 390 00:17:21,600 --> 00:17:24,159 Speaker 7: It's not coming, it's coming, you know, So we move 391 00:17:24,240 --> 00:17:30,720 Speaker 7: back and forth. I've been steadying the call. I you 392 00:17:30,720 --> 00:17:33,800 Speaker 7: know this, this is very important with the recession, yep, 393 00:17:34,119 --> 00:17:37,560 Speaker 7: where we're headed. And I think you know, the FED 394 00:17:37,600 --> 00:17:41,560 Speaker 7: tells everybody their data driven, right, so I can't fault 395 00:17:41,600 --> 00:17:46,640 Speaker 7: anyone for looking obsessively at the data. And yet one 396 00:17:46,760 --> 00:17:49,840 Speaker 7: release of inflation or like this is not going to 397 00:17:49,880 --> 00:17:53,240 Speaker 7: tell us anything. And with the labor market, the tide 398 00:17:53,280 --> 00:17:57,400 Speaker 7: can turn pretty fast. Yep, right, like it again, there's 399 00:17:57,400 --> 00:17:59,920 Speaker 7: no guarantee that we stay here, but I mean, my goodness, 400 00:18:00,040 --> 00:18:03,000 Speaker 7: this has been a good labor market. Yes, workers particuarly 401 00:18:03,000 --> 00:18:04,800 Speaker 7: low income or low wage workers. 402 00:18:04,960 --> 00:18:05,200 Speaker 4: Yep. 403 00:18:05,440 --> 00:18:07,199 Speaker 1: All right, Claudia, thank you so much for joining us. 404 00:18:07,200 --> 00:18:11,760 Speaker 1: Claudia Sam, founder and independent economist at Some Consulting. 405 00:18:12,160 --> 00:18:15,280 Speaker 6: You're listening to the tape Can's our live program Bloomberg 406 00:18:15,359 --> 00:18:18,960 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg Radio, the 407 00:18:19,000 --> 00:18:21,080 Speaker 6: tune in app, Bloomberg dot Com. 408 00:18:20,800 --> 00:18:22,240 Speaker 4: And the Bloomberg Business App. 409 00:18:22,280 --> 00:18:25,080 Speaker 6: You can also listen live on Amazon Alexa from our 410 00:18:25,119 --> 00:18:30,160 Speaker 6: flagship New York station, Just say Alexa, play Bloomberg eleven thirty. 411 00:18:30,880 --> 00:18:33,560 Speaker 1: Have miler Paul Sweeney here in the Bloomberg Interactive Brokers 412 00:18:33,600 --> 00:18:37,040 Speaker 1: Studio look at this, Matt, the bankrate dot com US 413 00:18:37,040 --> 00:18:40,800 Speaker 1: home mortgage thirty year fixed at national average seven point 414 00:18:40,920 --> 00:18:44,200 Speaker 1: five five percent from a rock star with my six 415 00:18:44,200 --> 00:18:44,679 Speaker 1: percent more. 416 00:18:44,800 --> 00:18:48,440 Speaker 2: I'm surprised it's that low because, uh, we just saw 417 00:18:48,440 --> 00:18:52,920 Speaker 2: the tenure rise to what to sorry, four thirty four, 418 00:18:54,119 --> 00:18:58,800 Speaker 2: and we've seen the mortgage rate about three points above 419 00:18:58,800 --> 00:19:02,080 Speaker 2: the tenure lately. I know that's more than the historical average. 420 00:19:02,160 --> 00:19:05,800 Speaker 2: Usually it's more like two percent above the tenure. 421 00:19:05,840 --> 00:19:07,720 Speaker 1: But let's bring in a profession with those and stuff 422 00:19:07,760 --> 00:19:10,600 Speaker 1: for a living. Lisa Knee, National leader of real estate 423 00:19:10,680 --> 00:19:13,320 Speaker 1: practice at Eisner Amper, joins us live here in our 424 00:19:13,320 --> 00:19:17,679 Speaker 1: Bloomberg Interactive Broker studio. What's the world to do with 425 00:19:18,080 --> 00:19:20,159 Speaker 1: a mortgage rate of seven point five to five percent? 426 00:19:20,240 --> 00:19:23,640 Speaker 2: I mean, Matt's got his under three. He's not doing anything. 427 00:19:24,240 --> 00:19:26,359 Speaker 8: So thank you for having me a great question of 428 00:19:26,640 --> 00:19:30,000 Speaker 8: where we're sitting when we look at historic mortgage rates. 429 00:19:30,000 --> 00:19:32,560 Speaker 8: We talked about this before. When I first bought my 430 00:19:32,600 --> 00:19:35,560 Speaker 8: house twenty years ago, this was about what my rates 431 00:19:35,560 --> 00:19:37,679 Speaker 8: were at or about the sevens. And so when we 432 00:19:37,720 --> 00:19:40,760 Speaker 8: look we have some very very artificially lower rates over 433 00:19:40,800 --> 00:19:43,600 Speaker 8: the last ten to fifteen years and so it's not 434 00:19:43,640 --> 00:19:45,920 Speaker 8: really the mortgage rates, but it's pricing and figuring out 435 00:19:45,920 --> 00:19:48,760 Speaker 8: what valuations are at. And that's really where the trick is. 436 00:19:48,800 --> 00:19:52,040 Speaker 8: What are the values We talked about supply, So because 437 00:19:52,040 --> 00:19:54,760 Speaker 8: there's such little supply out there, it's going to be 438 00:19:54,800 --> 00:19:57,400 Speaker 8: a little bit hard for people to understand and make 439 00:19:57,440 --> 00:20:00,400 Speaker 8: those financing work with those mortgage rates. So if you're 440 00:20:00,520 --> 00:20:03,280 Speaker 8: below seven and you need to sell and move, there's 441 00:20:03,320 --> 00:20:05,080 Speaker 8: really very little that you're going to go to to 442 00:20:05,080 --> 00:20:07,919 Speaker 8: pay a higher rate going forward. And that's where the 443 00:20:08,000 --> 00:20:09,960 Speaker 8: supply is really going to hurt people who are looking 444 00:20:09,960 --> 00:20:11,719 Speaker 8: to be first time homeowners. 445 00:20:11,200 --> 00:20:14,480 Speaker 2: And most everyone's below seven. I mean people have what's 446 00:20:14,520 --> 00:20:17,320 Speaker 2: the average right now? It's got to be between three 447 00:20:17,400 --> 00:20:18,040 Speaker 2: and four. 448 00:20:18,119 --> 00:20:20,480 Speaker 8: Probably, yeah, and that's going to be difficult to compel 449 00:20:20,560 --> 00:20:23,280 Speaker 8: someone to sell their home to move to get something 450 00:20:23,320 --> 00:20:24,160 Speaker 8: out of a higher rate. 451 00:20:24,600 --> 00:20:25,800 Speaker 2: So what's the rate I don't know. 452 00:20:25,840 --> 00:20:27,159 Speaker 1: I don't want to call it a break even rate, 453 00:20:27,200 --> 00:20:29,200 Speaker 1: but what's the rate where you think the market freeze 454 00:20:29,320 --> 00:20:31,879 Speaker 1: up that buyers say, oh okay, I can stomach this 455 00:20:32,080 --> 00:20:32,919 Speaker 1: great reset? 456 00:20:33,200 --> 00:20:34,080 Speaker 2: Is what we call that? 457 00:20:34,200 --> 00:20:34,359 Speaker 9: Is that? 458 00:20:34,359 --> 00:20:36,840 Speaker 2: What it is? I mean, because so many people are 459 00:20:36,840 --> 00:20:41,600 Speaker 2: holding on to their homes. They can't come to an 460 00:20:41,640 --> 00:20:44,600 Speaker 2: agreement on price, right, because if you want to buy 461 00:20:44,600 --> 00:20:46,760 Speaker 2: my home, I'll sell it to you. I have a 462 00:20:46,800 --> 00:20:48,440 Speaker 2: three percent mortgage, so I'm going to sell it to 463 00:20:48,480 --> 00:20:50,960 Speaker 2: you for a hell of a lot more than I 464 00:20:50,960 --> 00:20:53,359 Speaker 2: would normally ask. But you're not going to buy that 465 00:20:53,400 --> 00:20:56,560 Speaker 2: because you need a seven percent mortgage. So there's no movement, right, 466 00:20:56,960 --> 00:20:59,160 Speaker 2: and Bloomberg we call that the great reset here. 467 00:20:59,520 --> 00:21:01,480 Speaker 8: That's exact, right. And it's also figuring out what the 468 00:21:01,520 --> 00:21:04,080 Speaker 8: real valuation is for your house, and so you think 469 00:21:04,119 --> 00:21:06,520 Speaker 8: it's worth while and above what it should be because 470 00:21:06,520 --> 00:21:09,359 Speaker 8: it's the numbers aren't penciling out based on those mortgage rates. 471 00:21:09,640 --> 00:21:13,119 Speaker 8: So you want that cash buyer, that unicorn of the 472 00:21:13,119 --> 00:21:15,159 Speaker 8: cash buyer, and be able to have them come and 473 00:21:15,240 --> 00:21:17,760 Speaker 8: purchase your home. But again, it's you figuring out what 474 00:21:17,760 --> 00:21:19,919 Speaker 8: what you're willing to take for you to have to 475 00:21:19,960 --> 00:21:22,240 Speaker 8: pay off your mortgage and move somewhere else, knowing that 476 00:21:22,280 --> 00:21:23,120 Speaker 8: you're not getting that rate. 477 00:21:23,119 --> 00:21:23,359 Speaker 2: Again. 478 00:21:23,720 --> 00:21:26,240 Speaker 1: Yeah, well, I mean, so where are weak Statistically it's 479 00:21:26,240 --> 00:21:31,200 Speaker 1: just like an abnormally low time for lack of transactions. 480 00:21:30,960 --> 00:21:33,320 Speaker 8: The transaction market, not just in the home mortgage but 481 00:21:33,359 --> 00:21:36,200 Speaker 8: in every commercial real estate is at a standstill because 482 00:21:36,320 --> 00:21:38,800 Speaker 8: people are trying to figure out where mortgage rates are 483 00:21:38,840 --> 00:21:40,639 Speaker 8: going to be in the ten years. So you mentioned 484 00:21:40,640 --> 00:21:43,040 Speaker 8: it was four four thirty four point three, and so 485 00:21:43,160 --> 00:21:45,680 Speaker 8: figuring out how long it's going to stay there and 486 00:21:45,760 --> 00:21:48,160 Speaker 8: what those win are value is going to start coming down, 487 00:21:48,480 --> 00:21:51,240 Speaker 8: and then transactions should start picking up based on that. 488 00:21:51,440 --> 00:21:53,760 Speaker 8: But until people really understand where values are going to be, 489 00:21:53,800 --> 00:21:55,720 Speaker 8: and we're sort of at that set, it's going to 490 00:21:55,720 --> 00:21:57,840 Speaker 8: be difficult for transaction volume to pick up. 491 00:21:58,359 --> 00:22:00,639 Speaker 1: So we haven't seen. What I want is see is 492 00:22:00,760 --> 00:22:05,840 Speaker 1: one or two kind of notable transactions in New York, 493 00:22:05,880 --> 00:22:08,320 Speaker 1: for example, or San Francisco, and I want to see 494 00:22:08,359 --> 00:22:12,639 Speaker 1: if the discount is ten percent, thirty percent, fifty percent, 495 00:22:12,760 --> 00:22:15,520 Speaker 1: sixty percent. I don't know where this market is. For 496 00:22:15,640 --> 00:22:19,240 Speaker 1: some of these big markets. On the commercial real estate side, 497 00:22:19,240 --> 00:22:21,600 Speaker 1: we haven't really seen much transact have we. 498 00:22:21,640 --> 00:22:23,919 Speaker 8: The only thing we've seen is giving back to the banks, 499 00:22:23,920 --> 00:22:26,600 Speaker 8: which we know didn't make smart investment sense for people 500 00:22:26,640 --> 00:22:29,440 Speaker 8: to go, you know, work those properties back in and 501 00:22:29,600 --> 00:22:31,320 Speaker 8: things that are going to start trading soon. It's not 502 00:22:31,400 --> 00:22:34,240 Speaker 8: trading because there's no cash flow there. It's trading because 503 00:22:34,280 --> 00:22:37,159 Speaker 8: the mortgage rates aren't working to pencil out those deals, 504 00:22:37,440 --> 00:22:39,760 Speaker 8: and they just haven't happened yet because right now we're 505 00:22:39,800 --> 00:22:41,880 Speaker 8: waiting for those mortgages to be up. We talked about, 506 00:22:41,920 --> 00:22:44,040 Speaker 8: you know one of those fixes is it in eighteen 507 00:22:44,080 --> 00:22:46,080 Speaker 8: to twenty four months, and that really might be the 508 00:22:46,119 --> 00:22:47,880 Speaker 8: cycle of what we're looking for to see when those 509 00:22:47,920 --> 00:22:49,159 Speaker 8: tradings are going to start happening. 510 00:22:49,880 --> 00:22:52,680 Speaker 2: What about building homes, I mean, are are we bringing 511 00:22:52,800 --> 00:22:55,920 Speaker 2: enough supply on in that way? Since there isn't enough 512 00:22:55,920 --> 00:22:59,680 Speaker 2: supply and you know, previously owned homes. 513 00:22:59,720 --> 00:23:02,639 Speaker 8: So correct, there wasn't enough supply In two thousand and 514 00:23:02,640 --> 00:23:04,720 Speaker 8: seven and eight, we stop building homes and so now 515 00:23:04,720 --> 00:23:06,600 Speaker 8: there's a little bit more. But what they're doing is 516 00:23:06,640 --> 00:23:09,520 Speaker 8: single family rental. Because people aren't able to purchase their 517 00:23:09,520 --> 00:23:12,159 Speaker 8: own homes. You've now have these large companies who are 518 00:23:12,160 --> 00:23:15,359 Speaker 8: coming and building single asset homes or single homes, and 519 00:23:15,400 --> 00:23:17,199 Speaker 8: people are renting them with the hope that they'll be 520 00:23:17,200 --> 00:23:19,360 Speaker 8: able to buy them and build up their credit rating 521 00:23:19,400 --> 00:23:19,879 Speaker 8: in the future. 522 00:23:19,960 --> 00:23:22,040 Speaker 2: But by the way, find else there are a lot 523 00:23:22,040 --> 00:23:24,400 Speaker 2: of people who will say I don't want to buy 524 00:23:24,400 --> 00:23:26,360 Speaker 2: a home. In fact, the cost of ownership I think 525 00:23:26,400 --> 00:23:30,119 Speaker 2: is higher than most people realize taxes. A lot of 526 00:23:30,119 --> 00:23:34,680 Speaker 2: times rental is taxes. Tell me about it. In Westchester, 527 00:23:35,240 --> 00:23:38,320 Speaker 2: there are a lot of people who who say, look, 528 00:23:38,359 --> 00:23:41,920 Speaker 2: I'd rather rent a home, and it's actually a better 529 00:23:42,040 --> 00:23:45,720 Speaker 2: financial decision. I can invest my money elsewhere and I'm 530 00:23:45,760 --> 00:23:46,280 Speaker 2: better off. 531 00:23:46,600 --> 00:23:49,440 Speaker 8: And when you think about the generation now that's looking 532 00:23:49,480 --> 00:23:51,600 Speaker 8: to buy homes, they're not looking at long term thinkers. 533 00:23:51,600 --> 00:23:53,399 Speaker 8: They're in the one to two year range, and so 534 00:23:53,480 --> 00:23:55,080 Speaker 8: for them to purchase a home that they're going to 535 00:23:55,080 --> 00:23:56,439 Speaker 8: be in there for thirty years when we did our 536 00:23:56,480 --> 00:23:58,880 Speaker 8: thirty year mortgages, they're not looking at that. They're looking 537 00:23:58,880 --> 00:24:00,320 Speaker 8: for the one to two years where they going to 538 00:24:00,400 --> 00:24:03,000 Speaker 8: live and not really want to commit to something for 539 00:24:03,040 --> 00:24:05,760 Speaker 8: that long term purchase. And that's why that short the 540 00:24:06,200 --> 00:24:08,720 Speaker 8: single family rental market is so hot right now. 541 00:24:09,080 --> 00:24:09,639 Speaker 2: How much of the. 542 00:24:09,760 --> 00:24:11,600 Speaker 1: Problem is it going to be for on the commercial 543 00:24:11,600 --> 00:24:13,760 Speaker 1: real estate side when work just come due? I mean, 544 00:24:14,000 --> 00:24:18,040 Speaker 1: because we've seen people like Brookfield, I mean like major 545 00:24:18,119 --> 00:24:20,840 Speaker 1: institutional real estate people turn the keys over. I mean, 546 00:24:20,880 --> 00:24:23,680 Speaker 1: this isn't some mom and pop developer I mean or owner. 547 00:24:23,720 --> 00:24:26,480 Speaker 1: These are major global real estate players that are saying 548 00:24:26,480 --> 00:24:27,360 Speaker 1: I just can't make it work. 549 00:24:27,600 --> 00:24:29,880 Speaker 8: So what they're bringing. Why they're turning their keys over 550 00:24:29,920 --> 00:24:32,840 Speaker 8: is they're making sound business decisions of saying I can't 551 00:24:33,160 --> 00:24:35,040 Speaker 8: have my investors they have the cash to do it. 552 00:24:35,200 --> 00:24:37,760 Speaker 8: They don't want their investors to invest back in to 553 00:24:37,800 --> 00:24:40,240 Speaker 8: make those properties work, knowing that those have to be 554 00:24:40,320 --> 00:24:41,880 Speaker 8: reset at a lower price. 555 00:24:41,920 --> 00:24:45,000 Speaker 2: A reputational risk there. I mean, I can't your failure. 556 00:24:45,000 --> 00:24:47,399 Speaker 1: You just turned over the trophy Trophy property in San 557 00:24:47,440 --> 00:24:49,960 Speaker 1: Francisco to the banks. Now it's the bank's problem. 558 00:24:50,080 --> 00:24:52,720 Speaker 8: So they're making sound investment decisions of saying I can't, I. 559 00:24:52,640 --> 00:24:54,480 Speaker 2: Can't the bank. It's not sound to me. 560 00:24:54,840 --> 00:24:57,760 Speaker 8: Well, so when I I mean, that's a fair point. 561 00:24:57,800 --> 00:24:59,120 Speaker 8: But the banks are going to sit there and they're 562 00:24:59,119 --> 00:25:00,879 Speaker 8: going to make so that they work that out, and 563 00:25:01,200 --> 00:25:03,720 Speaker 8: they're going to all make sure that those properties get 564 00:25:03,760 --> 00:25:06,760 Speaker 8: repositioned in a smarter way, probably at a price that 565 00:25:06,840 --> 00:25:09,320 Speaker 8: makes sense for that new developer to come in and 566 00:25:09,359 --> 00:25:12,880 Speaker 8: reposition that property. So it is a sound investment decision 567 00:25:13,000 --> 00:25:14,879 Speaker 8: if you're an investor from a Brookfield point of me. 568 00:25:15,000 --> 00:25:17,240 Speaker 1: It's going to take years, isn't it for this commercial 569 00:25:17,240 --> 00:25:19,120 Speaker 1: real estate market to sort itself out? 570 00:25:19,119 --> 00:25:20,440 Speaker 8: We at least need to see what's going to happen 571 00:25:20,440 --> 00:25:22,399 Speaker 8: in the next eighteen to twenty four months. And when 572 00:25:22,440 --> 00:25:24,879 Speaker 8: you talk about costs, the biggest cost people are complaining 573 00:25:24,880 --> 00:25:28,240 Speaker 8: about besides interest rates is insurance, and that insurance market 574 00:25:28,280 --> 00:25:31,600 Speaker 8: is really putting a strain on the pricing that's been 575 00:25:31,680 --> 00:25:34,080 Speaker 8: coming up for people to make sure that they can 576 00:25:34,119 --> 00:25:36,280 Speaker 8: make those deals work and pencil out. The percentage of 577 00:25:36,320 --> 00:25:39,560 Speaker 8: insurance going up year over year, it's been astronomical from 578 00:25:39,560 --> 00:25:40,200 Speaker 8: what we're hearing. 579 00:25:40,480 --> 00:25:44,000 Speaker 1: You know, people make a lot of money in real estate, commercial, residential, 580 00:25:44,080 --> 00:25:46,239 Speaker 1: but man, when it's bad, when it tied turns, it 581 00:25:46,320 --> 00:25:50,000 Speaker 1: is tough out there because everything conspires against you. Yeah, Lisa, NEI, 582 00:25:50,080 --> 00:25:51,760 Speaker 1: thank you so much for joining us. Lisa is the 583 00:25:51,880 --> 00:25:55,080 Speaker 1: partner and national tax leader for real estate practice at 584 00:25:55,080 --> 00:25:56,919 Speaker 1: Eisner Advisory Group. 585 00:25:56,960 --> 00:25:59,200 Speaker 2: And change your name, okay, Eisner Advisory Group. 586 00:25:59,240 --> 00:26:01,400 Speaker 1: Good stuff, all right, So, but you're sitting on your 587 00:26:01,400 --> 00:26:03,200 Speaker 1: three percent mortgage you don't have a care in the world. 588 00:26:03,600 --> 00:26:06,080 Speaker 2: Well, also, I can't move. I mean I have a 589 00:26:06,080 --> 00:26:08,480 Speaker 2: two year old and one on the way and a 590 00:26:08,480 --> 00:26:11,520 Speaker 2: wife that would kill me if I even suggested it. 591 00:26:12,720 --> 00:26:16,560 Speaker 6: You're listening to the Team Cancer Live program Bloomberg Markets 592 00:26:16,600 --> 00:26:19,680 Speaker 6: weekdays at ten am Eastern on Bloomberg dot Com, the 593 00:26:19,760 --> 00:26:22,919 Speaker 6: iHeartRadio app and the Bloomberg Business app, or listen on 594 00:26:22,960 --> 00:26:25,600 Speaker 6: demand wherever you get your podcasts. 595 00:26:26,960 --> 00:26:29,840 Speaker 2: Now. SRI has darkened the door of the Bloomberg Interactive 596 00:26:29,840 --> 00:26:33,600 Speaker 2: Broker studio. Let's find out what's going on here, Sree. 597 00:26:33,720 --> 00:26:36,920 Speaker 2: It's not a huge unit, right, it's not a huge unit. 598 00:26:36,960 --> 00:26:39,359 Speaker 10: But this is again one of those strategic missteps that 599 00:26:39,359 --> 00:26:43,439 Speaker 10: people keep talking about ultimately, because you're talking about a 600 00:26:43,480 --> 00:26:46,280 Speaker 10: business that was part of the score Goldman effort to 601 00:26:46,359 --> 00:26:50,080 Speaker 10: get beyond its core base of ultra high network clients 602 00:26:50,119 --> 00:26:53,080 Speaker 10: go after the mass affluent market. How they did that 603 00:26:53,160 --> 00:26:56,840 Speaker 10: one is obviously through that ill fated consumer banking push, 604 00:26:56,880 --> 00:26:59,840 Speaker 10: which has completely been you know, they're attempting to wipe 605 00:26:59,840 --> 00:27:01,600 Speaker 10: it off the face of the earth now. But at 606 00:27:01,600 --> 00:27:04,199 Speaker 10: the same time, even in its wealth management business, they 607 00:27:04,280 --> 00:27:07,560 Speaker 10: wanted to go beyond their high network base because that's 608 00:27:07,600 --> 00:27:10,679 Speaker 10: a pace where Goldman's really good. They then wanted to 609 00:27:10,720 --> 00:27:13,320 Speaker 10: go out there with this United Capital purchase to reach 610 00:27:13,440 --> 00:27:17,040 Speaker 10: the market where your average customer balance size might be 611 00:27:17,359 --> 00:27:19,480 Speaker 10: one million, one and a half million, nothing like the 612 00:27:19,480 --> 00:27:21,760 Speaker 10: twenty five thirty million dollar customers you normally deal with. 613 00:27:21,920 --> 00:27:24,080 Speaker 10: But it was a signal that Goldman was going beyond 614 00:27:24,119 --> 00:27:28,360 Speaker 10: its roots. Undoing that deal four years after it's done 615 00:27:28,400 --> 00:27:30,439 Speaker 10: is a clear admission that that didn't work out and 616 00:27:30,480 --> 00:27:33,800 Speaker 10: it wants to refocus his energies to places where it's 617 00:27:33,960 --> 00:27:37,800 Speaker 10: really good at. So again, another circuitous path to get 618 00:27:37,840 --> 00:27:40,960 Speaker 10: to the place where they're already standing four years ago. 619 00:27:41,320 --> 00:27:44,800 Speaker 1: I've been a key admirer and competitor to Goldman Sacks 620 00:27:44,840 --> 00:27:47,960 Speaker 1: for forty years, so to me, the only story I 621 00:27:48,000 --> 00:27:51,240 Speaker 1: care about now is just David Solomon, the infighting, the 622 00:27:51,320 --> 00:27:55,600 Speaker 1: partners or whatever's left of that partnership. What's it like 623 00:27:55,720 --> 00:27:58,440 Speaker 1: in the hallways and the executive suite of Goldman Sacks 624 00:27:58,440 --> 00:28:01,440 Speaker 1: these days, do you think? Or the Hampton's got forbid 625 00:28:01,440 --> 00:28:02,280 Speaker 1: there in the office. 626 00:28:03,000 --> 00:28:05,720 Speaker 10: It's funny, and I'm glad you mentioned Hamptons because just 627 00:28:05,800 --> 00:28:08,680 Speaker 10: last week there was an event where Gary Cohne was 628 00:28:08,720 --> 00:28:11,760 Speaker 10: there and the founder of BTIG was hosting it, and 629 00:28:11,800 --> 00:28:13,000 Speaker 10: he starts, ou nobody. 630 00:28:12,720 --> 00:28:15,879 Speaker 2: Was wearing socks apparently, Oh that's right, down, no socks. 631 00:28:15,880 --> 00:28:17,080 Speaker 10: They were all Hampton's shakes. 632 00:28:17,080 --> 00:28:20,560 Speaker 2: So yes, madam, right, no socks on Larry Summers. 633 00:28:20,760 --> 00:28:24,679 Speaker 10: But here's the thing. The host, the BTIG founders started 634 00:28:24,720 --> 00:28:26,560 Speaker 10: off by cracking a joke saying, hey, if you see 635 00:28:26,600 --> 00:28:28,680 Speaker 10: Gary Cone leave, that's because he's been called back in 636 00:28:28,720 --> 00:28:30,880 Speaker 10: to be a candidate to be seof. They're all openly 637 00:28:30,960 --> 00:28:33,919 Speaker 10: joking about it. So the atmosphere inside Goldman sex is 638 00:28:33,920 --> 00:28:36,360 Speaker 10: obviously not great. But I will say that a lot 639 00:28:36,359 --> 00:28:38,480 Speaker 10: of the criticism has been brushed away, like, oh, it's 640 00:28:38,520 --> 00:28:41,280 Speaker 10: just personality issues. People are not happy with the hard 641 00:28:41,360 --> 00:28:46,240 Speaker 10: charging boss. But there are also some genuine operational mess ups. 642 00:28:46,280 --> 00:28:48,320 Speaker 10: The economists had a very good story over the weekend. 643 00:28:48,600 --> 00:28:52,920 Speaker 10: It is not like Goldman performance has been dreadful, absolutely not. 644 00:28:53,080 --> 00:28:54,800 Speaker 10: That's not why the stock would be up fifty percent 645 00:28:54,840 --> 00:28:57,600 Speaker 10: over five years. At the same time, it's not been great. 646 00:28:58,000 --> 00:28:59,840 Speaker 2: It has been patchy, and patchy. 647 00:28:59,600 --> 00:29:02,200 Speaker 10: Is just the right word. You've had successes in places 648 00:29:02,240 --> 00:29:06,200 Speaker 10: where you're really good I investment banking and trading everything else. 649 00:29:06,640 --> 00:29:09,600 Speaker 10: You fumbled with the leadership and asset management. There By 650 00:29:09,600 --> 00:29:12,000 Speaker 10: my last calculation, I think they had like seven different 651 00:29:12,040 --> 00:29:15,800 Speaker 10: iterations of leadership in that asset management business. We've talked 652 00:29:15,800 --> 00:29:20,160 Speaker 10: at length about all their problems with Marcus, so clearly 653 00:29:20,200 --> 00:29:22,960 Speaker 10: on the operational side they've had some challenges and that 654 00:29:23,120 --> 00:29:26,280 Speaker 10: contributes to the air of discontent inside Goldman Sachs. 655 00:29:26,480 --> 00:29:28,720 Speaker 2: They don't have too many problems with Marcus from my 656 00:29:28,800 --> 00:29:30,480 Speaker 2: point of view, because I get four and a half 657 00:29:30,480 --> 00:29:32,480 Speaker 2: percent thanks that account. 658 00:29:32,800 --> 00:29:34,120 Speaker 1: But all right, one of the things I want to 659 00:29:34,120 --> 00:29:36,760 Speaker 1: ask is what's the role of Lloyd blank find I 660 00:29:36,800 --> 00:29:42,040 Speaker 1: always think about the past chairman's of CEO or CEOs 661 00:29:42,080 --> 00:29:45,160 Speaker 1: of Goldman Sachs and what role they play, given that 662 00:29:45,200 --> 00:29:47,520 Speaker 1: it was a partnership for so long, given that that 663 00:29:47,560 --> 00:29:52,320 Speaker 1: partnership mentality, the clicks of partners still exists there, what 664 00:29:52,400 --> 00:29:53,880 Speaker 1: role does he play these days or. 665 00:29:53,760 --> 00:29:54,880 Speaker 2: Is he kind of in a background. 666 00:29:55,760 --> 00:29:58,120 Speaker 10: It's interesting you mentioned Lloyd because all of the reporting 667 00:29:58,120 --> 00:30:00,239 Speaker 10: around him in recent months has been how he been 668 00:30:00,240 --> 00:30:03,240 Speaker 10: a little more open and has been griping about David 669 00:30:03,280 --> 00:30:06,800 Speaker 10: Solomon's performance. But in reality, I don't think what Lloyd 670 00:30:06,880 --> 00:30:09,360 Speaker 10: is saying really holds a lot of weight with current 671 00:30:09,440 --> 00:30:12,120 Speaker 10: management or for that matter, the board. But he is 672 00:30:12,680 --> 00:30:15,600 Speaker 10: if the griping is indeed true, he is he is 673 00:30:15,720 --> 00:30:20,600 Speaker 10: expressing a sentiment that's been echoed everywhere inside Goldman Sacks. 674 00:30:20,640 --> 00:30:23,040 Speaker 10: People who interact with Goldman Sax they're all talking about 675 00:30:23,080 --> 00:30:25,239 Speaker 10: the same topic. Even when they meet some of their 676 00:30:25,240 --> 00:30:28,320 Speaker 10: biggest clients. Those clients tell us that, you know, they 677 00:30:28,360 --> 00:30:30,440 Speaker 10: start their meeting, or at least half their meeting ends 678 00:30:30,520 --> 00:30:33,000 Speaker 10: up being a little bit about the palace entry inside 679 00:30:33,040 --> 00:30:36,360 Speaker 10: Goldman Sacks rather than the business' hand and that's obviously 680 00:30:36,440 --> 00:30:38,240 Speaker 10: a challenge that need to solve. For that, they need 681 00:30:38,280 --> 00:30:39,800 Speaker 10: to make that noise go down. 682 00:30:40,000 --> 00:30:42,920 Speaker 1: It's interesting because I do look at the MGMT function 683 00:30:42,920 --> 00:30:44,880 Speaker 1: on the Bloomberg terminal for Goldman Sachs, and it just 684 00:30:45,200 --> 00:30:47,440 Speaker 1: wasn't aware of is that David Solomon is not only 685 00:30:47,520 --> 00:30:50,040 Speaker 1: the CEO, he is also chairman of the board. So 686 00:30:50,080 --> 00:30:53,840 Speaker 1: he has a strong governmental I mean a strong position 687 00:30:53,920 --> 00:30:54,920 Speaker 1: structurally in the company. 688 00:30:55,120 --> 00:30:57,360 Speaker 10: Absolutely, and that's how a lot of American bank boards 689 00:30:57,400 --> 00:31:01,120 Speaker 10: are structured. It's very different in Europe. The chairman typically 690 00:31:01,200 --> 00:31:03,719 Speaker 10: does not tend to be the CEO. In the US, 691 00:31:04,280 --> 00:31:06,280 Speaker 10: that often is the case. Look at JP Morgan, look 692 00:31:06,280 --> 00:31:08,640 Speaker 10: at Morgensane, look at Goldman Sachs. But I think the 693 00:31:08,680 --> 00:31:11,040 Speaker 10: direction of travel and in the coming years you will 694 00:31:11,080 --> 00:31:13,360 Speaker 10: increasingly see a split in those roles as well. 695 00:31:14,360 --> 00:31:15,400 Speaker 2: Again, I'm looking at this board. 696 00:31:15,400 --> 00:31:18,440 Speaker 1: The lead directors Bio ungle Lesi, who I do know 697 00:31:18,480 --> 00:31:20,959 Speaker 1: because you're from the Credit Swiss first Boston days. I mean, 698 00:31:21,000 --> 00:31:24,120 Speaker 1: he's a longtime global banker with a lot of heft 699 00:31:24,160 --> 00:31:25,400 Speaker 1: as well, so you used. 700 00:31:25,240 --> 00:31:28,000 Speaker 10: To run the investment bank Credit Squeze has a lot 701 00:31:28,040 --> 00:31:30,440 Speaker 10: of great credentials in the finance community. Do has done 702 00:31:30,480 --> 00:31:34,480 Speaker 10: really well with GIP Global Infrastructure Partners. And interestingly he's 703 00:31:34,480 --> 00:31:37,600 Speaker 10: been the chairman even before David Solomon arrived in the CEOC. 704 00:31:37,840 --> 00:31:41,959 Speaker 10: That is when sorry, not the chairman, the lead independent director. 705 00:31:42,040 --> 00:31:45,480 Speaker 10: So when Lloyd was there, Bio was the lead independent 706 00:31:45,520 --> 00:31:48,960 Speaker 10: director and has has held on to that role under David. 707 00:31:49,080 --> 00:31:52,480 Speaker 10: So in some ways, one of the more powerful but 708 00:31:52,720 --> 00:31:56,760 Speaker 10: underappreciated roles in finance right now is the lead independent 709 00:31:56,800 --> 00:31:58,640 Speaker 10: director at Goldman sachs At. 710 00:31:59,040 --> 00:32:01,280 Speaker 2: In a time of tumult, there's so much news in 711 00:32:01,880 --> 00:32:04,000 Speaker 2: there's so much kind of m and a news in 712 00:32:04,320 --> 00:32:08,120 Speaker 2: finance this morning, right because you've your Goldman story, You've 713 00:32:08,120 --> 00:32:12,680 Speaker 2: got the City Institutional Client Group split. I'm gonna watch 714 00:32:12,800 --> 00:32:15,400 Speaker 2: that boy. Tyler Dixon is one of the top guys. 715 00:32:15,480 --> 00:32:19,360 Speaker 2: You've got what kind of looks like a bidding war 716 00:32:19,440 --> 00:32:24,400 Speaker 2: over Sculptor if it'll be allowed, because it seems like 717 00:32:25,040 --> 00:32:27,720 Speaker 2: the game is rigged there to keep the current management 718 00:32:27,800 --> 00:32:28,280 Speaker 2: in place. 719 00:32:28,480 --> 00:32:31,520 Speaker 10: This Sculpture thing is just endlessly fascinating. You know, when 720 00:32:31,560 --> 00:32:33,920 Speaker 10: you heard about the guys who were looking to buy them, 721 00:32:33,920 --> 00:32:37,000 Speaker 10: clearly I believe fine and we knew Sculptor had been 722 00:32:37,040 --> 00:32:41,600 Speaker 10: pushed the Sculptor Capital Management, right and previously more famous 723 00:32:41,600 --> 00:32:42,200 Speaker 10: as OXI. 724 00:32:42,480 --> 00:32:48,680 Speaker 2: Yeah, okay, alternative manager, right, the classical hedge fund. Right. 725 00:32:48,720 --> 00:32:50,960 Speaker 10: But and we saw, okay, find they had a deal. 726 00:32:51,040 --> 00:32:54,080 Speaker 10: And normally that's the kind of roll ups we've been seeing. 727 00:32:54,240 --> 00:32:56,240 Speaker 10: But the fact that you have this all star line 728 00:32:56,280 --> 00:33:00,680 Speaker 10: of boys Weinstein, Mark Lasry, Bill Lackman contemplating accounter bitter 729 00:33:00,720 --> 00:33:05,080 Speaker 10: or putting forth account bit, it's so interesting. Obviously Sculptor 730 00:33:05,160 --> 00:33:08,440 Speaker 10: is not taking the bite just yet. We will see 731 00:33:08,600 --> 00:33:11,440 Speaker 10: how that unfolds. But yeah, it's it's it's interesting to 732 00:33:11,480 --> 00:33:14,040 Speaker 10: see this bidding war on that ox IF now known. 733 00:33:13,880 --> 00:33:16,200 Speaker 1: As the Suction, that that community so tight knit, the 734 00:33:16,280 --> 00:33:18,920 Speaker 1: hitch mean hedge fund community wouldn't see something in the public. 735 00:33:18,920 --> 00:33:20,720 Speaker 1: But it's at a fifty two week high today, it's 736 00:33:20,720 --> 00:33:24,520 Speaker 1: a three point six percent. Sculptor is SCU is the ticker, 737 00:33:25,120 --> 00:33:27,480 Speaker 1: and it's got a market cap of a seven or 738 00:33:27,600 --> 00:33:28,120 Speaker 1: twenty five. 739 00:33:28,240 --> 00:33:32,680 Speaker 10: And the backstory is important, right, Uh, fascinating Oxif became 740 00:33:32,760 --> 00:33:36,640 Speaker 10: Sculptor after having gone through a pretty bruising battle and 741 00:33:36,720 --> 00:33:40,000 Speaker 10: some investigations over a bribery scandal, and of course there 742 00:33:40,080 --> 00:33:43,800 Speaker 10: was the whole leadership fight between Jimmy Levin and Dan Och, 743 00:33:43,920 --> 00:33:46,280 Speaker 10: who's who no longer doesn't have an act, doesn't have 744 00:33:46,320 --> 00:33:49,480 Speaker 10: an active role, but clearly still a big shareholder, and 745 00:33:49,520 --> 00:33:51,960 Speaker 10: they became Sculptor. And I'm telling you, the only thing 746 00:33:52,000 --> 00:33:54,400 Speaker 10: that will be better than this lineup of alternate bidders 747 00:33:54,400 --> 00:33:56,800 Speaker 10: that we've heard of is suddenly Bill Ackman and Carl 748 00:33:57,040 --> 00:33:59,880 Speaker 10: Icon decide to join forces a bit for Sculture. 749 00:33:59,560 --> 00:34:02,720 Speaker 2: Joint Force or fight over and plus you have, We'll 750 00:34:02,760 --> 00:34:05,080 Speaker 2: take either of those off. Dan ox saga, right, because 751 00:34:05,120 --> 00:34:07,600 Speaker 2: this is a guy who like builds himself up and 752 00:34:07,640 --> 00:34:11,840 Speaker 2: then destroys himself over and over again. You know, he's like, 753 00:34:12,040 --> 00:34:14,359 Speaker 2: how how big can I build this? And then he's like, 754 00:34:14,360 --> 00:34:16,720 Speaker 2: how can I ruin it in a dramatic fashion? 755 00:34:17,200 --> 00:34:20,719 Speaker 10: And talk about Ballastandrick Jimmy Levin was the chosen one. 756 00:34:20,840 --> 00:34:22,920 Speaker 10: He was dan OG's guy. He was the one who 757 00:34:23,000 --> 00:34:25,520 Speaker 10: was supposedly going to be the one running the place. 758 00:34:25,560 --> 00:34:28,520 Speaker 10: And you know dan was completely behind him, and then 759 00:34:28,560 --> 00:34:30,920 Speaker 10: this breaks out and this all out war between the 760 00:34:30,920 --> 00:34:31,399 Speaker 10: two of them. 761 00:34:31,840 --> 00:34:33,759 Speaker 1: All right, so we'll pay attention to that. Like seeing 762 00:34:33,800 --> 00:34:36,879 Speaker 1: the hedge fund guys battle each other again. Another kind 763 00:34:36,880 --> 00:34:41,399 Speaker 1: of like billionaire story, billionaires acting oddly silly kind of. 764 00:34:41,320 --> 00:34:46,560 Speaker 2: Stuff, fighting about a crab shack, some eighteen property or 765 00:34:47,200 --> 00:34:51,200 Speaker 2: you know, someone's modern art statue that's an iesore. 766 00:34:51,640 --> 00:34:52,279 Speaker 4: Right, what did? 767 00:34:52,400 --> 00:34:56,239 Speaker 2: What did? Did? Bill Gross reportedly he like played the 768 00:34:56,239 --> 00:34:59,200 Speaker 2: Gilligan's Island theme song over and over again as. 769 00:34:59,160 --> 00:35:02,200 Speaker 10: Loud as he Yeah, how could we forget that one? 770 00:35:02,680 --> 00:35:04,800 Speaker 2: I love billionaires behaving badly. 771 00:35:05,400 --> 00:35:08,200 Speaker 1: Shrinata Roger, thanks so much for joining us. Wall Street 772 00:35:08,239 --> 00:35:11,839 Speaker 1: reporter Goldman Sachs, reporter for Bloomberg News. Joining us live 773 00:35:11,840 --> 00:35:14,360 Speaker 1: here in our Bloomberg Interactive Brokers studio. 774 00:35:14,680 --> 00:35:17,799 Speaker 6: You're listening to the tape Cat's are Live program Bloomberg 775 00:35:17,840 --> 00:35:21,440 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg Radio, the 776 00:35:21,520 --> 00:35:23,480 Speaker 6: tune in app, Bloomberg dot Com, and. 777 00:35:23,440 --> 00:35:24,719 Speaker 4: The Bloomberg Business App. 778 00:35:24,760 --> 00:35:27,600 Speaker 6: You can also listen live on Amazon Alexa from our 779 00:35:27,600 --> 00:35:33,560 Speaker 6: flagship New York station, Just Say Alexa, playing Bloomberg eleven thirty. 780 00:35:32,840 --> 00:35:35,360 Speaker 1: Matt Miller, Paul Sweeney live here in a Bloomberg Interactive 781 00:35:35,360 --> 00:35:39,279 Speaker 1: Brokers studio. We are streaming live on YouTube thankfully because 782 00:35:39,280 --> 00:35:42,440 Speaker 1: in our viewers get to see Dan ives in person. Dan, 783 00:35:42,480 --> 00:35:46,600 Speaker 1: I've senior analyst at Wedbush Securities, you know and your. 784 00:35:46,520 --> 00:35:47,640 Speaker 2: Self site analysts, Matt. 785 00:35:47,680 --> 00:35:49,640 Speaker 1: One of the challenges is kind of standing out from 786 00:35:49,680 --> 00:35:52,480 Speaker 1: the crowd, making some calls that really stand out. This 787 00:35:52,560 --> 00:35:54,840 Speaker 1: call stands out, and this is a call I fully 788 00:35:55,080 --> 00:35:55,760 Speaker 1: fully endorse. 789 00:35:55,840 --> 00:35:57,280 Speaker 2: I've been calling for a long time. 790 00:35:57,400 --> 00:36:00,560 Speaker 1: I get ignored the whole way Apple should end deal 791 00:36:00,640 --> 00:36:04,319 Speaker 1: drought by buying Espn. This analyst said that Dan I 792 00:36:04,360 --> 00:36:06,520 Speaker 1: was managing director senior analyst Wedbus Security. 793 00:36:06,560 --> 00:36:08,359 Speaker 2: So Dan, I kind of agree with you here. 794 00:36:08,719 --> 00:36:12,200 Speaker 1: What's your rationale behind your call saying Apple, which is 795 00:36:12,200 --> 00:36:14,640 Speaker 1: a company you follow and have filed for a long time, 796 00:36:14,680 --> 00:36:17,680 Speaker 1: should buy Espn, which may be up for sale. 797 00:36:17,719 --> 00:36:20,560 Speaker 11: And I think, look eighteen months ago, this isn't even 798 00:36:20,600 --> 00:36:23,080 Speaker 11: a discussion. But I think if you look what's happened 799 00:36:23,080 --> 00:36:26,600 Speaker 11: with Eiger and Disney with a strategic process, I think 800 00:36:26,640 --> 00:36:29,319 Speaker 11: now Espn, in my opinion, it's a matter of when 801 00:36:29,360 --> 00:36:32,400 Speaker 11: not if the ultimately Apple is going to look to 802 00:36:32,600 --> 00:36:35,560 Speaker 11: at a minimum do a distribution deal, and we believe 803 00:36:35,600 --> 00:36:39,760 Speaker 11: potentially acquire ESPN because you look at what Apple needs, 804 00:36:39,760 --> 00:36:42,879 Speaker 11: they need live sports content. I think MLS in terms 805 00:36:42,880 --> 00:36:45,719 Speaker 11: of the messy situation, that's really what the appetite. I 806 00:36:45,760 --> 00:36:49,040 Speaker 11: think they've now recognized and you see the subscriber growth 807 00:36:49,080 --> 00:36:52,399 Speaker 11: that's been massive. That's what's going to bring them onto 808 00:36:52,480 --> 00:36:56,239 Speaker 11: the platform. PAC twelve clearly came and gone, and then 809 00:36:56,239 --> 00:36:57,719 Speaker 11: that was something that they were trying to get and 810 00:36:57,760 --> 00:37:00,760 Speaker 11: that deal fell apart. But when it comes to I've Sports, 811 00:37:01,080 --> 00:37:04,279 Speaker 11: it's the golden goose. So we ultimately believe that in 812 00:37:04,360 --> 00:37:07,560 Speaker 11: the next called six nine months, you know, Apple finally 813 00:37:07,640 --> 00:37:10,600 Speaker 11: can end this deal drought obviously not m and A 814 00:37:11,640 --> 00:37:14,000 Speaker 11: that that's in the typical DNA of Cupatina, and I 815 00:37:14,000 --> 00:37:15,520 Speaker 11: think ESPN ends up in Apple. 816 00:37:15,920 --> 00:37:19,520 Speaker 2: Why stop at ESPN? Why not just buy Disney? They 817 00:37:19,520 --> 00:37:24,720 Speaker 2: have more money in cash than Disney has in market 818 00:37:24,719 --> 00:37:25,959 Speaker 2: cap total market cap. 819 00:37:26,200 --> 00:37:28,200 Speaker 11: Yeah, and I know, I mean others talked about like 820 00:37:28,280 --> 00:37:32,279 Speaker 11: ware and others about them buying Disney Marr Martin from 821 00:37:32,360 --> 00:37:36,480 Speaker 11: datam I don't personally see that, just because when it 822 00:37:36,520 --> 00:37:38,799 Speaker 11: comes to parks and it comes to the rest of 823 00:37:38,840 --> 00:37:42,600 Speaker 11: the Disney operations, that wouldn't necessarily be within the strategic 824 00:37:42,719 --> 00:37:46,720 Speaker 11: DNA of Cupatina. When you look at ESPN as an asset, 825 00:37:46,800 --> 00:37:49,239 Speaker 11: that's something that fits like a glove in terms of 826 00:37:49,480 --> 00:37:52,920 Speaker 11: in the broader strategy. So I think Disney itself I 827 00:37:53,320 --> 00:37:56,280 Speaker 11: put a very low likelihood, But when it comes to ESPN, 828 00:37:56,360 --> 00:38:00,320 Speaker 11: I think high likelihood that something happens here. Look, Iger 829 00:38:00,800 --> 00:38:03,799 Speaker 11: and Cook or you know know each other extremely well. 830 00:38:03,840 --> 00:38:07,160 Speaker 11: These are two companies that have interoperated you know, extremely well, 831 00:38:07,520 --> 00:38:09,799 Speaker 11: and it's something when it comes to ESPN, this is 832 00:38:09,840 --> 00:38:12,799 Speaker 11: something to me Peanut Butter and jeil can I. 833 00:38:12,800 --> 00:38:17,319 Speaker 2: Just what about the anti trust issues? Because regulators don't 834 00:38:17,360 --> 00:38:20,040 Speaker 2: even want to allow Apple to control what it does 835 00:38:20,080 --> 00:38:24,680 Speaker 2: with its own store that it invented for its own phones. 836 00:38:25,200 --> 00:38:27,320 Speaker 2: Like they're not even allowed to run their own business 837 00:38:27,320 --> 00:38:28,840 Speaker 2: in a free country, why would they be allowed to 838 00:38:28,880 --> 00:38:29,520 Speaker 2: buy Espn? 839 00:38:29,600 --> 00:38:32,160 Speaker 11: Look, every week there's just another black eye for con 840 00:38:32,200 --> 00:38:34,520 Speaker 11: and the FTC. So it just comes down that I 841 00:38:34,560 --> 00:38:37,839 Speaker 11: think big tech recognizes more and more starting to get 842 00:38:37,840 --> 00:38:39,760 Speaker 11: their oats. In other words, I feel like it's getting 843 00:38:39,800 --> 00:38:43,360 Speaker 11: to a point where you're now starting to see I 844 00:38:43,400 --> 00:38:46,000 Speaker 11: think more and more of a potential opportunity for M 845 00:38:46,040 --> 00:38:48,719 Speaker 11: and a When you look at Microsoft Activision, you look 846 00:38:48,800 --> 00:38:52,040 Speaker 11: with the constant battles that the FTC has lost. I 847 00:38:52,040 --> 00:38:54,480 Speaker 11: don't think that something necessarily makes them nervous. I'm not 848 00:38:54,520 --> 00:38:56,560 Speaker 11: saying that this is going to be easy to get through. 849 00:38:57,040 --> 00:38:59,879 Speaker 11: But when it comes to Apple, that install based within 850 00:39:00,160 --> 00:39:03,600 Speaker 11: Cooper Tino, that is the deal that I believe just 851 00:39:03,680 --> 00:39:05,959 Speaker 11: makes a ton of sense, and I think many within 852 00:39:06,000 --> 00:39:06,880 Speaker 11: the industry. 853 00:39:06,600 --> 00:39:08,600 Speaker 1: More and more talking about you mentioned the deal they 854 00:39:08,600 --> 00:39:11,360 Speaker 1: did with getting Messi here to Major League Soccer. 855 00:39:11,400 --> 00:39:13,399 Speaker 2: What was that? I forget, like, how did that work out? 856 00:39:13,680 --> 00:39:16,640 Speaker 11: I mean, ultimately, I mean there's gonna be a part 857 00:39:17,080 --> 00:39:19,719 Speaker 11: it's essentially a part rev share right that MESSI is getting, 858 00:39:19,760 --> 00:39:20,200 Speaker 11: and there was. 859 00:39:20,160 --> 00:39:24,200 Speaker 2: Like an Apple. Apple's allowing MESSI to participate without Apple. 860 00:39:24,880 --> 00:39:27,960 Speaker 11: Messi is not an enemy, and I think that's and 861 00:39:28,000 --> 00:39:30,800 Speaker 11: I think that's something where when you look at MESSI 862 00:39:30,920 --> 00:39:33,680 Speaker 11: coming with that's done in terms of subscriber growth to 863 00:39:33,760 --> 00:39:36,920 Speaker 11: the platform, it chows because look as much as Ted 864 00:39:37,040 --> 00:39:39,600 Speaker 11: Lasso and some of the cameo and the content, Apple 865 00:39:39,680 --> 00:39:43,880 Speaker 11: is obviously phenomenal. Right now, it's a mansion with not 866 00:39:43,920 --> 00:39:47,400 Speaker 11: that much furniture, live sports content where it's at all 867 00:39:47,480 --> 00:39:47,879 Speaker 11: right so. 868 00:39:48,120 --> 00:39:51,240 Speaker 2: Not to mention, I mean or despite of the fact 869 00:39:51,320 --> 00:39:55,720 Speaker 2: that in spite of the fact that soccer is just boring, 870 00:39:56,120 --> 00:39:56,399 Speaker 2: just to. 871 00:39:56,440 --> 00:40:01,560 Speaker 1: Tears American people lived in Germany, well, compared. 872 00:40:01,280 --> 00:40:04,680 Speaker 2: To football or basketball, you like soccer. 873 00:40:05,440 --> 00:40:09,080 Speaker 11: Look personally, I mean, I could watch soccer, but obviously 874 00:40:09,160 --> 00:40:12,640 Speaker 11: the drum roll into what I've used college football. It's mecca, 875 00:40:12,920 --> 00:40:13,600 Speaker 11: it's the mecca. 876 00:40:13,640 --> 00:40:16,200 Speaker 1: We are, right, Let's talk Penn Sate football a little bit. 877 00:40:16,200 --> 00:40:20,000 Speaker 1: We'll digress preseason rank number seven. I love that rank, 878 00:40:20,080 --> 00:40:21,200 Speaker 1: but boy, that feels high. 879 00:40:21,640 --> 00:40:21,799 Speaker 9: Oh. 880 00:40:21,840 --> 00:40:23,920 Speaker 11: I think this is probably one of the most elite 881 00:40:24,040 --> 00:40:27,200 Speaker 11: defenses in all of college football. And in my opinion, 882 00:40:27,280 --> 00:40:31,360 Speaker 11: now with al are quarterback, Now, this is something I 883 00:40:31,880 --> 00:40:34,160 Speaker 11: truly believe. I think Franklin's put it together. And look, 884 00:40:34,200 --> 00:40:36,600 Speaker 11: when you look at Big ten, you got Penn State, 885 00:40:36,680 --> 00:40:38,799 Speaker 11: Ohio State, Michigan, which are all going to be three 886 00:40:38,840 --> 00:40:41,120 Speaker 11: of the top six or seven. And I believe the 887 00:40:41,160 --> 00:40:44,839 Speaker 11: tour slowly is being handed from SEC to Big ten. 888 00:40:45,280 --> 00:40:46,600 Speaker 2: There you go, now, our bosses. 889 00:40:46,840 --> 00:40:50,160 Speaker 1: I can hear him walking down saying, get off this discussion. 890 00:40:50,200 --> 00:40:53,800 Speaker 1: All right, let's step back again on Apple the iPhone fifteen, 891 00:40:53,880 --> 00:40:55,279 Speaker 1: is that the next one in September. 892 00:40:55,640 --> 00:40:56,680 Speaker 2: Is that do I upgrade? 893 00:40:56,680 --> 00:40:58,239 Speaker 1: Because my battery is already starting to bug me? So 894 00:40:58,280 --> 00:41:00,520 Speaker 1: now I feel like it's what are you having or something? 895 00:41:00,520 --> 00:41:00,759 Speaker 5: Eleven? 896 00:41:01,000 --> 00:41:03,280 Speaker 2: Yeah, yeah, but that's but your situation. 897 00:41:03,600 --> 00:41:06,120 Speaker 11: Actually, if you look at it today, take a step back. 898 00:41:06,800 --> 00:41:08,520 Speaker 2: You have two hundred and forty million. 899 00:41:08,280 --> 00:41:10,960 Speaker 11: That have not upgrade their iPhone in four plus years. Now, 900 00:41:11,040 --> 00:41:14,120 Speaker 11: battery life was phenomenal, so many were kind of like Paul, 901 00:41:14,160 --> 00:41:17,359 Speaker 11: like you had iPhones maybe three four years. I think 902 00:41:17,360 --> 00:41:19,399 Speaker 11: we're now getting what's going to be really four years. 903 00:41:19,480 --> 00:41:23,200 Speaker 2: Didn't Apple purposely set up the iPhone so that the 904 00:41:23,239 --> 00:41:24,919 Speaker 2: battery would die right at the end of the twenty 905 00:41:24,920 --> 00:41:28,920 Speaker 2: four month period? And again that's you know, is it 906 00:41:29,040 --> 00:41:31,480 Speaker 2: old wives tale? Haven't they agreed to pay money to 907 00:41:31,560 --> 00:41:32,000 Speaker 2: settle that? 908 00:41:32,480 --> 00:41:35,760 Speaker 11: Now, Look, that's something where obviously there's water under the bridge, 909 00:41:35,800 --> 00:41:39,480 Speaker 11: but when you ultimately but but it does speak to 910 00:41:39,560 --> 00:41:41,680 Speaker 11: what right now when you look at Apple as a stock, 911 00:41:41,800 --> 00:41:43,840 Speaker 11: I think this is sort of halftime in the Super 912 00:41:43,840 --> 00:41:47,560 Speaker 11: Bowl going in to what I viewed as a massive cycle. 913 00:41:47,800 --> 00:41:51,000 Speaker 11: And even in China, despite all the noise, they're gaining 914 00:41:51,120 --> 00:41:53,759 Speaker 11: three four hundred bits of market share, which is why 915 00:41:53,800 --> 00:41:56,600 Speaker 11: we believe Apple here is a table pounder on the pullback. 916 00:41:56,680 --> 00:41:58,800 Speaker 1: All right, so we got you here in the studio. 917 00:41:58,840 --> 00:42:02,200 Speaker 1: We got your Apple call. Give me us two or 918 00:42:02,200 --> 00:42:03,600 Speaker 1: three more of the calls that you're talking to your 919 00:42:03,600 --> 00:42:04,600 Speaker 1: clients about these days. 920 00:42:04,680 --> 00:42:07,640 Speaker 11: Look to the guidance heard around the world is gonna 921 00:42:07,640 --> 00:42:11,120 Speaker 11: be Wednesday night with Jensen and Vidia, because this is 922 00:42:12,080 --> 00:42:15,000 Speaker 11: i'd say, is probably one of the most important earnings 923 00:42:15,040 --> 00:42:18,400 Speaker 11: calls in many, many years for tech because it all 924 00:42:18,440 --> 00:42:21,200 Speaker 11: comes down to the godfather of AI. When you look 925 00:42:21,200 --> 00:42:23,879 Speaker 11: at Jensen and Vidia, they see the demand, they see 926 00:42:23,880 --> 00:42:27,480 Speaker 11: the use cases. I'm expecting bullishness Wednesday from them, and 927 00:42:27,520 --> 00:42:30,000 Speaker 11: I think that's important for the rest of the tech sector. 928 00:42:30,360 --> 00:42:33,040 Speaker 11: They're gonna see across the board. And then it kind 929 00:42:33,040 --> 00:42:35,919 Speaker 11: of parleads into what I believe is a key theme 930 00:42:35,960 --> 00:42:39,600 Speaker 11: of cybersecurity. You show that pow out though Friday night, 931 00:42:39,640 --> 00:42:41,839 Speaker 11: A lot of fears about that with the Friday night 932 00:42:41,920 --> 00:42:44,920 Speaker 11: special that soap Opera's done, I wouldn't expect them to 933 00:42:44,920 --> 00:42:46,919 Speaker 11: be doing any calls Friday night, but that was much 934 00:42:46,920 --> 00:42:49,480 Speaker 11: better than feared, and I think it just shows that 935 00:42:50,239 --> 00:42:54,840 Speaker 11: demands holding up well in cyber in cloud, in chips. 936 00:42:55,120 --> 00:42:58,160 Speaker 11: We think the new tech bowl market is already begun, all. 937 00:42:58,120 --> 00:43:00,400 Speaker 1: Right, So the way you play that is in vidio, Yeah, 938 00:43:00,840 --> 00:43:04,200 Speaker 1: Microsoft is also maybe Armholdings right, oh yeah, what is 939 00:43:04,200 --> 00:43:05,080 Speaker 1: is that gonna been? 940 00:43:05,160 --> 00:43:08,040 Speaker 2: Yeah? Gives we got two minutes. It's a private company 941 00:43:08,080 --> 00:43:11,279 Speaker 2: now owned by what owned by soft Bank? Yep uh, 942 00:43:11,600 --> 00:43:14,960 Speaker 2: but in video wants to push that IPO and so 943 00:43:15,120 --> 00:43:17,280 Speaker 2: to other big players. Is it gonna happen? We're gonna. 944 00:43:17,440 --> 00:43:18,759 Speaker 2: I think we're gonna get the filing today. 945 00:43:18,840 --> 00:43:20,359 Speaker 11: Yeah, I mean, I think right now this is something 946 00:43:20,400 --> 00:43:23,719 Speaker 11: the streets highly anticipating because it's all how do you 947 00:43:23,840 --> 00:43:26,800 Speaker 11: play these teams? And you look at ARM you obviously 948 00:43:26,800 --> 00:43:28,719 Speaker 11: have big player soft Bank and others in there, and 949 00:43:28,760 --> 00:43:32,080 Speaker 11: I think it's something where this is the biggest tech 950 00:43:32,200 --> 00:43:34,919 Speaker 11: theme in our opinion since nineteen eighty five, since start 951 00:43:34,960 --> 00:43:37,640 Speaker 11: of the Internet. So we are despite what we're seeing 952 00:43:37,640 --> 00:43:40,640 Speaker 11: in the macro and everyone focused on every fed sort 953 00:43:40,719 --> 00:43:43,600 Speaker 11: of meeting or every dinner where they give them speech, 954 00:43:43,920 --> 00:43:46,319 Speaker 11: the reality is that that white flag is starting to 955 00:43:46,320 --> 00:43:49,040 Speaker 11: get raised. It's a risk on and in my opinion, 956 00:43:49,080 --> 00:43:52,440 Speaker 11: it's the biggest tech trend we've seen thirty years. 957 00:43:52,680 --> 00:43:55,360 Speaker 2: So is it fair to call arm an ai play? 958 00:43:55,480 --> 00:43:55,640 Speaker 4: Oh? 959 00:43:55,719 --> 00:43:58,440 Speaker 11: Yes, I'd clearly be able to call that an AI play, 960 00:43:58,880 --> 00:44:01,560 Speaker 11: and Paul Matt I'd say the difference now is that 961 00:44:01,880 --> 00:44:04,479 Speaker 11: in video right now they're the only game in town. 962 00:44:04,880 --> 00:44:07,200 Speaker 11: But when you look down the road, you got Sue 963 00:44:07,200 --> 00:44:09,960 Speaker 11: and AMD, you got Armhold, and you're gonna have other 964 00:44:10,080 --> 00:44:12,560 Speaker 11: chip players in what's really gonna be a tidal wave 965 00:44:12,600 --> 00:44:13,960 Speaker 11: of spend all right? 966 00:44:14,000 --> 00:44:15,480 Speaker 2: What else? What else you got for us? 967 00:44:15,840 --> 00:44:18,520 Speaker 11: Look, I would just I'd say overall, this is something 968 00:44:18,520 --> 00:44:21,400 Speaker 11: where I think more and more investors are focused twenty 969 00:44:21,480 --> 00:44:24,520 Speaker 11: twenty four. I think if you look at names like Tesla, 970 00:44:24,880 --> 00:44:27,600 Speaker 11: we've obviously had to pull back post earnings, a lot 971 00:44:27,640 --> 00:44:30,880 Speaker 11: of worries about price cuts in China. We think barksworts 972 00:44:30,920 --> 00:44:32,920 Speaker 11: than bite ninety five percent. That has already in the 973 00:44:32,960 --> 00:44:35,520 Speaker 11: rear view mirror, and I continue to view it. In 974 00:44:35,560 --> 00:44:39,400 Speaker 11: electric vehicles, it's Tesla's world. Everyone else's paying rent, but 975 00:44:39,600 --> 00:44:42,000 Speaker 11: you are gonna have Look what's happened the three to 976 00:44:42,000 --> 00:44:45,680 Speaker 11: win three area code and there's massive turnaround GM, massive 977 00:44:45,680 --> 00:44:50,000 Speaker 11: turnaround forward what Farley's doing, and it's the biggest transformation 978 00:44:50,520 --> 00:44:52,680 Speaker 11: to the auto industry since nineteen fifties. 979 00:44:53,160 --> 00:44:56,080 Speaker 2: Yeah, for sure. I mean if Folkswagen has invested overseas 980 00:44:56,120 --> 00:44:59,560 Speaker 2: a ton as well, and we're getting uh, I'm driving 981 00:44:59,560 --> 00:45:02,480 Speaker 2: the bm W XM right now, which is a hybrid, 982 00:45:02,480 --> 00:45:05,680 Speaker 2: but I've driven the IX, which is very impressive. And 983 00:45:05,760 --> 00:45:09,080 Speaker 2: they have a fleet electric vehicles coming out. Mercedes has 984 00:45:09,120 --> 00:45:10,320 Speaker 2: the Equs and the EQUE. 985 00:45:10,400 --> 00:45:12,520 Speaker 11: Those are very and then yeah, exactly, and then you 986 00:45:12,560 --> 00:45:14,400 Speaker 11: ask it as well, exactly, and then you're gonna have 987 00:45:14,480 --> 00:45:17,440 Speaker 11: Paul with the cyber truck next going up to his 988 00:45:17,520 --> 00:45:19,000 Speaker 11: tea time in the cyber truck. 989 00:45:19,120 --> 00:45:22,120 Speaker 1: Absolutely, Danives, thanks so much for joining us in two 990 00:45:22,160 --> 00:45:26,320 Speaker 1: weeks until Penn State football kicks off. Dan Ives, Managing Director, 991 00:45:26,400 --> 00:45:29,000 Speaker 1: senior equity analyst, web Bush Securities. 992 00:45:29,239 --> 00:45:32,320 Speaker 6: You're listening to the tape catch are live program Bloomberg 993 00:45:32,400 --> 00:45:36,000 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg Radio, the 994 00:45:36,040 --> 00:45:38,200 Speaker 6: tune in app, Bloomberg dot Com, and the. 995 00:45:38,080 --> 00:45:39,279 Speaker 4: Bloomberg Business App. 996 00:45:39,320 --> 00:45:42,120 Speaker 6: You can also listen live on Amazon Alexa from our 997 00:45:42,160 --> 00:45:47,200 Speaker 6: flagship New York station, Just say Alexa play Bloomberg eleven thirty. 998 00:45:47,960 --> 00:45:52,000 Speaker 2: There has been talk recently about a new COVID variant. Nope, 999 00:45:52,160 --> 00:45:55,440 Speaker 2: and I mean not here. There's I think it's safe 1000 00:45:55,480 --> 00:45:58,279 Speaker 2: to assume that there's going to be a variant of 1001 00:45:58,320 --> 00:46:02,560 Speaker 2: this virus around. For look, the Spanish flu was I 1002 00:46:02,600 --> 00:46:06,319 Speaker 2: think nineteen eighteen, right, and we still have variants of 1003 00:46:06,360 --> 00:46:09,799 Speaker 2: that floating around today that people kind of get every year. 1004 00:46:09,880 --> 00:46:12,040 Speaker 2: It's not a big deal, it's just how it works. 1005 00:46:12,680 --> 00:46:14,799 Speaker 2: But it could be a problem for the companies that 1006 00:46:14,880 --> 00:46:19,759 Speaker 2: made the vaccines for the OG variants. Sam Fizzali joins 1007 00:46:19,800 --> 00:46:23,960 Speaker 2: us right now, head of European Research and Pharmaceuticals Analysis 1008 00:46:23,960 --> 00:46:26,800 Speaker 2: for Bloomberg Intelligence. Sam, great to have you on the program, 1009 00:46:27,080 --> 00:46:31,560 Speaker 2: and I want to say that first off, people can't 1010 00:46:31,760 --> 00:46:34,400 Speaker 2: people don't have to just listen to this program. No, 1011 00:46:34,640 --> 00:46:37,200 Speaker 2: you can watch it if you go on YouTube dot 1012 00:46:37,239 --> 00:46:40,640 Speaker 2: com search Bloomberg Radio and you can we stream live. 1013 00:46:41,200 --> 00:46:45,359 Speaker 2: You were already an attractive man, Sam, but now with 1014 00:46:45,440 --> 00:46:48,480 Speaker 2: the beard, I would say you're at least forty percent sexier. 1015 00:46:48,840 --> 00:46:50,560 Speaker 2: Do you get a lot of thank you, a lot 1016 00:46:50,560 --> 00:46:52,279 Speaker 2: of compliments on that. 1017 00:46:52,760 --> 00:46:55,680 Speaker 9: You know that means so much to me. If you 1018 00:46:55,760 --> 00:46:57,520 Speaker 9: hadn't said it, I mean, you've just made my day. 1019 00:46:57,520 --> 00:47:00,480 Speaker 2: Basically, Well, I did not keep you, see you, I 1020 00:47:00,520 --> 00:47:02,320 Speaker 2: did not support this move to it to a beard. 1021 00:47:03,280 --> 00:47:05,600 Speaker 2: All right, so talk to us when I see you, 1022 00:47:06,080 --> 00:47:10,520 Speaker 2: talk talk to us. About the h the possibility. I mean, 1023 00:47:10,719 --> 00:47:13,360 Speaker 2: obviously there's gonna be new COVID variant, right. 1024 00:47:14,360 --> 00:47:17,400 Speaker 9: Yeah, Look, I'm scared of Paul. I'm even more scared 1025 00:47:17,440 --> 00:47:20,640 Speaker 9: of you. So I thought very hard that long about 1026 00:47:20,640 --> 00:47:24,440 Speaker 9: writing another note on on COVID because the world has 1027 00:47:24,480 --> 00:47:27,920 Speaker 9: moved on, and rightly so, because our death rates are 1028 00:47:27,960 --> 00:47:31,120 Speaker 9: a lot, lot lot lower. We have vaccines, we have drugs, 1029 00:47:31,120 --> 00:47:33,760 Speaker 9: we have everything. So why did I do this? Because 1030 00:47:33,760 --> 00:47:37,000 Speaker 9: I'm interested in the companies that make the vaccines. We 1031 00:47:37,120 --> 00:47:39,440 Speaker 9: have three companies involved in the vaccine making. If you 1032 00:47:39,440 --> 00:47:41,279 Speaker 9: want to add novo vaccine, this four, if you want 1033 00:47:41,280 --> 00:47:45,320 Speaker 9: to have five, et cetera, et cetera variant. What do 1034 00:47:45,400 --> 00:47:49,120 Speaker 9: they mean? Variants mean that the more mutations they have, 1035 00:47:49,440 --> 00:47:52,120 Speaker 9: the more likely they are not to respond to that 1036 00:47:52,320 --> 00:47:57,160 Speaker 9: initial shield that our vaccine gives us. So and that 1037 00:47:57,239 --> 00:48:00,520 Speaker 9: initial shield is just simply the two or three worth 1038 00:48:00,560 --> 00:48:04,560 Speaker 9: of protection against an infection. And this new variant that 1039 00:48:05,160 --> 00:48:09,319 Speaker 9: has just crop tops in some sequences BA spot two 1040 00:48:09,400 --> 00:48:12,520 Speaker 9: Spot eighty six is the one that has got me 1041 00:48:12,560 --> 00:48:15,160 Speaker 9: a little bit worried, just like omicron did when it 1042 00:48:15,239 --> 00:48:16,960 Speaker 9: first appeared, because it has. 1043 00:48:16,840 --> 00:48:18,280 Speaker 2: Thirty four mutations. 1044 00:48:18,680 --> 00:48:21,680 Speaker 9: Now that means if it takes hold, and nobody knows 1045 00:48:21,680 --> 00:48:24,640 Speaker 9: whether it will or not, that it could be a 1046 00:48:24,719 --> 00:48:26,960 Speaker 9: variant that would not respond to our vaccines. 1047 00:48:27,800 --> 00:48:31,080 Speaker 1: So Sam, what are the companies telling you, guys about 1048 00:48:31,200 --> 00:48:35,120 Speaker 1: any further boosters or vaccines. 1049 00:48:34,800 --> 00:48:37,920 Speaker 2: That may be available this fall? What are they telling you? 1050 00:48:38,719 --> 00:48:41,759 Speaker 9: Yeah, so they've all, Paul been making vaccines against the 1051 00:48:41,960 --> 00:48:45,920 Speaker 9: XBB variant, which is what the regulators asked. 1052 00:48:45,719 --> 00:48:46,160 Speaker 2: Them to do. 1053 00:48:46,600 --> 00:48:47,920 Speaker 3: That's the data they presented. 1054 00:48:47,960 --> 00:48:52,120 Speaker 9: That was the variant that was mostly responsible for infections 1055 00:48:53,000 --> 00:48:56,279 Speaker 9: in the past few months. Now, the issue is that, 1056 00:48:56,320 --> 00:48:59,680 Speaker 9: as I said, this new variant, if it takes hold, 1057 00:48:59,719 --> 00:49:02,600 Speaker 9: that's very important to say because we don't know whether 1058 00:49:02,880 --> 00:49:06,440 Speaker 9: or not. It's a very for mutations different am acids 1059 00:49:06,480 --> 00:49:10,319 Speaker 9: different so it's very likely that our antibodies won't do 1060 00:49:10,440 --> 00:49:12,880 Speaker 9: as well with them. We will still have great protection 1061 00:49:13,000 --> 00:49:14,840 Speaker 9: against severe disease as we had with them the. 1062 00:49:14,880 --> 00:49:16,800 Speaker 2: Front in most cases. 1063 00:49:17,239 --> 00:49:19,880 Speaker 9: So what this means is that if they have carried 1064 00:49:19,920 --> 00:49:22,360 Speaker 9: on with XPB and say in a month month and 1065 00:49:22,440 --> 00:49:27,040 Speaker 9: a half, this variant becomes if it does rampant in 1066 00:49:27,160 --> 00:49:30,600 Speaker 9: terms of or the main variant of growing rapidly, that 1067 00:49:30,680 --> 00:49:34,200 Speaker 9: the vaccines just won't do a lot for that and 1068 00:49:34,239 --> 00:49:36,520 Speaker 9: of course that has to be tested. And if that's 1069 00:49:36,560 --> 00:49:40,120 Speaker 9: the case, then you have lower sales who wants a 1070 00:49:40,200 --> 00:49:43,920 Speaker 9: vaccine that doesn't do anything, and a higher stock write offs. 1071 00:49:43,960 --> 00:49:46,720 Speaker 9: And that is not good, especially for modern I's already 1072 00:49:46,719 --> 00:49:48,480 Speaker 9: told us they're going to have three and a half 1073 00:49:48,520 --> 00:49:52,239 Speaker 9: billion to four billion of cost of goods manufacturing. You 1074 00:49:52,320 --> 00:49:54,160 Speaker 9: put that in the context that six to eight billion 1075 00:49:54,200 --> 00:49:59,080 Speaker 9: dollar guidance for sales, that's a humongous cost in terms 1076 00:49:59,080 --> 00:50:03,640 Speaker 9: of margin, gross margin or gross costs at least, So 1077 00:50:04,560 --> 00:50:06,920 Speaker 9: it would be a really difficult situation for them in 1078 00:50:07,040 --> 00:50:08,520 Speaker 9: terms of managing this. 1079 00:50:09,520 --> 00:50:13,640 Speaker 2: In terms of us getting sick, I mean most of 1080 00:50:13,680 --> 00:50:17,480 Speaker 2: us have already had COVID once or twice, right, So 1081 00:50:18,880 --> 00:50:25,319 Speaker 2: how strong is our natural, naturally developed immunity to new variants. 1082 00:50:26,560 --> 00:50:29,200 Speaker 9: Yeah, so that really does depend on your age or 1083 00:50:29,239 --> 00:50:32,000 Speaker 9: immune status. So there are of course people who are 1084 00:50:32,400 --> 00:50:35,480 Speaker 9: very elderly, so they do need a booster. There are 1085 00:50:35,480 --> 00:50:37,600 Speaker 9: people who are immune a compromise, who will always need 1086 00:50:37,719 --> 00:50:40,799 Speaker 9: protection from drugs or antibodies. Unfortunately, we don't have the 1087 00:50:40,800 --> 00:50:44,800 Speaker 9: antibodies anymore. For the average person, and I count myself 1088 00:50:44,800 --> 00:50:46,960 Speaker 9: as an average person, even though as you can see, 1089 00:50:47,560 --> 00:50:49,319 Speaker 9: I have a slightly white beard here. 1090 00:50:50,440 --> 00:50:51,560 Speaker 12: You know, we're all around. 1091 00:50:51,320 --> 00:50:54,880 Speaker 9: The same age, Paul and I. You're obviously decades younger 1092 00:50:54,880 --> 00:50:59,520 Speaker 9: than us. We're likely to be okay. Now, of course 1093 00:50:59,560 --> 00:51:02,440 Speaker 9: we all have a risk of long COVID or slightly 1094 00:51:02,520 --> 00:51:06,280 Speaker 9: longer a response to the virus, but we should mostly 1095 00:51:06,280 --> 00:51:09,719 Speaker 9: be okay with what we've already had. Really, the majority 1096 00:51:09,719 --> 00:51:10,480 Speaker 9: of people don't. 1097 00:51:10,320 --> 00:51:11,359 Speaker 12: Need another booster shop. 1098 00:51:11,719 --> 00:51:14,720 Speaker 9: It is those people who are most at risks immune 1099 00:51:14,719 --> 00:51:18,440 Speaker 9: systems are not as adept at dealing with rapidly changing 1100 00:51:18,520 --> 00:51:20,200 Speaker 9: viruses who need the most help. 1101 00:51:20,760 --> 00:51:22,640 Speaker 2: But the same is true with the flu, right, so 1102 00:51:22,719 --> 00:51:25,879 Speaker 2: this is becoming more of a flu like risk. 1103 00:51:26,960 --> 00:51:29,319 Speaker 9: Yeah, except you know, I mean there's the flu around 1104 00:51:29,320 --> 00:51:31,319 Speaker 9: at the minute, at least in the northern hemisphere, right, 1105 00:51:31,360 --> 00:51:33,080 Speaker 9: and then we have a wave of COVID. You can 1106 00:51:33,120 --> 00:51:35,400 Speaker 9: tell without needing tests. 1107 00:51:35,120 --> 00:51:35,440 Speaker 2: And all that. 1108 00:51:35,520 --> 00:51:38,640 Speaker 9: If you look at the prescriptions for paxlovied in the 1109 00:51:38,640 --> 00:51:41,600 Speaker 9: Bloomberg terminal, which you can look at if you had one, 1110 00:51:41,960 --> 00:51:43,959 Speaker 9: you can see that the prescriptions are going up like that. 1111 00:51:43,960 --> 00:51:48,000 Speaker 9: That tells you that community infections are on the rise 1112 00:51:48,040 --> 00:51:50,960 Speaker 9: and that people who need paxlobed are hopefully getting them. 1113 00:51:51,320 --> 00:51:53,960 Speaker 9: But obviously a lot of physicians are still worried about 1114 00:51:54,320 --> 00:51:57,239 Speaker 9: some nonsense called Paxlovid rebound, which has nothing to do 1115 00:51:57,280 --> 00:51:57,800 Speaker 9: with the drug. 1116 00:51:59,280 --> 00:52:01,239 Speaker 2: That is where you can see that there. 1117 00:52:01,200 --> 00:52:04,439 Speaker 9: Is clearly in August, because maybe it's two hot people 1118 00:52:04,480 --> 00:52:07,360 Speaker 9: all congregating inside. That's what happens in the winter. So 1119 00:52:07,440 --> 00:52:10,480 Speaker 9: this this virus is behaving a little bit differently. Still, 1120 00:52:10,600 --> 00:52:12,400 Speaker 9: we're only three years into it, right. 1121 00:52:13,360 --> 00:52:16,440 Speaker 1: So Sam, how about for the companies and the income 1122 00:52:16,480 --> 00:52:18,920 Speaker 1: statements for the Moderners and the Pfizers of the world, 1123 00:52:19,640 --> 00:52:22,200 Speaker 1: were they in terms of transitioning away from I guess 1124 00:52:22,719 --> 00:52:26,400 Speaker 1: the reliance on these COVID drugs into just the normal 1125 00:52:26,440 --> 00:52:27,440 Speaker 1: course of business. 1126 00:52:28,080 --> 00:52:30,920 Speaker 12: Yeah, Fiser obviously, Paul, we have to put Vizer aside 1127 00:52:30,920 --> 00:52:33,239 Speaker 12: because they have a you know, sixty odd billion dollar 1128 00:52:33,320 --> 00:52:36,399 Speaker 12: guidance for twenty twenty three, of which only about thirty 1129 00:52:36,400 --> 00:52:40,960 Speaker 12: percent comes from vaxslovic plus the vaccine Moderna. 1130 00:52:40,560 --> 00:52:43,440 Speaker 9: And Biontic, that's pretty much their revenue line today. And 1131 00:52:43,480 --> 00:52:46,520 Speaker 9: I think that's going to stay the case for Biontics 1132 00:52:46,560 --> 00:52:50,680 Speaker 9: certainly in the for the next foreseeable and Moderna possibly 1133 00:52:50,800 --> 00:52:53,239 Speaker 9: into twenty twenty four to twenty twenty five, when there 1134 00:52:53,239 --> 00:52:56,960 Speaker 9: are other vaccine for respiratorcs in situal virus is likely 1135 00:52:57,000 --> 00:52:59,280 Speaker 9: to kick in in a very competitive market. 1136 00:53:00,320 --> 00:53:02,480 Speaker 1: Yeah, looking at the Pfizer stock that's come down very 1137 00:53:02,520 --> 00:53:03,799 Speaker 1: hard from it's high here. 1138 00:53:03,840 --> 00:53:05,919 Speaker 2: So what's the kind of data fat shot they need? 1139 00:53:07,480 --> 00:53:10,400 Speaker 2: We go v or ozentpe. Oh, yeah, we need to 1140 00:53:10,400 --> 00:53:11,520 Speaker 2: get They need the opposite. 1141 00:53:11,560 --> 00:53:13,120 Speaker 9: They need something to pattern the ship price. 1142 00:53:13,680 --> 00:53:15,160 Speaker 2: They need that exactly. 1143 00:53:15,400 --> 00:53:16,799 Speaker 1: All right, next time we get you all, we'll talk 1144 00:53:16,840 --> 00:53:19,160 Speaker 1: about some of those weight loss drugs, because they are 1145 00:53:19,200 --> 00:53:20,960 Speaker 1: all over the place and all over the new san 1146 00:53:21,040 --> 00:53:24,160 Speaker 1: Fazelli he's head of European Research. Is also the pharmaceuticals 1147 00:53:24,160 --> 00:53:28,480 Speaker 1: analysts over there for Bloomberg in intelligence, is was our 1148 00:53:28,520 --> 00:53:30,800 Speaker 1: go to is our go to guy on all things pharma, 1149 00:53:30,880 --> 00:53:34,560 Speaker 1: including during that time of the pandemic and kind of 1150 00:53:34,560 --> 00:53:36,480 Speaker 1: we're all kind of getting up the learning curve of 1151 00:53:36,600 --> 00:53:40,920 Speaker 1: the disease and of more importantly the vaccines which have 1152 00:53:41,000 --> 00:53:41,840 Speaker 1: been so effective. 1153 00:53:42,160 --> 00:53:45,279 Speaker 6: You're listening to the tape Cat's are live program Bloomberg 1154 00:53:45,320 --> 00:53:48,920 Speaker 6: Markets weekdays at ten am Eastern on Bloomberg Radio, the 1155 00:53:48,960 --> 00:53:51,080 Speaker 6: tune in app, Bloomberg dot Com, and the. 1156 00:53:51,000 --> 00:53:52,200 Speaker 4: Bloomberg Business App. 1157 00:53:52,239 --> 00:53:55,080 Speaker 6: You can also listen live on Amazon Alexa from our 1158 00:53:55,080 --> 00:54:00,359 Speaker 6: flagship New York station, just say Alexa playing Bloomberg eleven thirty. 1159 00:54:01,120 --> 00:54:06,000 Speaker 2: Let's get to cars right now, seeing as Pebble Beach 1160 00:54:06,400 --> 00:54:10,680 Speaker 2: kicked off last week. And uh it's I guess, a 1161 00:54:10,840 --> 00:54:17,280 Speaker 2: mecca for anything from classic cars to brand new cars. 1162 00:54:17,640 --> 00:54:22,080 Speaker 2: Uh Ford, for example, unveiled their eight hundred horsepower Mustang 1163 00:54:22,160 --> 00:54:25,400 Speaker 2: gt D and there are a number of other unveilings, 1164 00:54:25,400 --> 00:54:29,160 Speaker 2: but I think really it's all about the collectors uh 1165 00:54:29,280 --> 00:54:35,000 Speaker 2: in in Monterey. Dave Meggers joins us right now, CEO 1166 00:54:35,160 --> 00:54:39,839 Speaker 2: of Meekham Auctions. Dave, thanks so much for coming onto 1167 00:54:39,840 --> 00:54:42,680 Speaker 2: the show with us. Talk to me about your take 1168 00:54:42,800 --> 00:54:46,840 Speaker 2: on the what do you call it the h concourse 1169 00:54:47,280 --> 00:54:51,160 Speaker 2: concourse to elegance and and and what was seen out 1170 00:54:51,160 --> 00:54:52,440 Speaker 2: in California this week. 1171 00:54:53,400 --> 00:54:56,680 Speaker 5: Well, you know, Monterey Car Week is the is the 1172 00:54:56,920 --> 00:55:00,080 Speaker 5: mecca for for car collectors every year and every but 1173 00:55:00,200 --> 00:55:03,839 Speaker 5: he looks looks forward to coming to Monterey. All of 1174 00:55:03,880 --> 00:55:06,520 Speaker 5: the major auction houses are there. Of course, the Concourse 1175 00:55:06,560 --> 00:55:11,320 Speaker 5: took place yesterday. All manufacturers have have some kind of 1176 00:55:11,360 --> 00:55:13,360 Speaker 5: a display there as well, and it's just it's just 1177 00:55:13,400 --> 00:55:15,160 Speaker 5: a great place to be if you're if you're a 1178 00:55:15,160 --> 00:55:15,760 Speaker 5: car person. 1179 00:55:15,800 --> 00:55:20,520 Speaker 13: And last year Car Week roared back from a little 1180 00:55:20,560 --> 00:55:23,719 Speaker 13: bit of a hiatus because of the pandemic. 1181 00:55:23,239 --> 00:55:26,839 Speaker 5: And I think this year what I saw was the 1182 00:55:26,960 --> 00:55:29,560 Speaker 5: enthusiasm continued to climb, and I would say this year 1183 00:55:30,160 --> 00:55:32,600 Speaker 5: money Car Week was back in full force. 1184 00:55:33,120 --> 00:55:33,560 Speaker 2: Yeah. 1185 00:55:33,800 --> 00:55:38,200 Speaker 1: It's funny Matt Mice number three offspring, who's now twenty five, 1186 00:55:38,280 --> 00:55:41,440 Speaker 1: when he was a teenager and even younger. 1187 00:55:41,560 --> 00:55:42,799 Speaker 2: He's a car not like like you. 1188 00:55:42,880 --> 00:55:45,600 Speaker 1: He and his buddies would sneak in to the del 1189 00:55:45,640 --> 00:55:48,319 Speaker 1: Monte golf course at the Higher Regency where they all 1190 00:55:48,360 --> 00:55:49,600 Speaker 1: these cars out. 1191 00:55:49,480 --> 00:55:52,520 Speaker 2: On the golf course. It's just amazing and it's great stuff. 1192 00:55:52,640 --> 00:55:52,839 Speaker 4: Yeah. 1193 00:55:52,840 --> 00:55:55,360 Speaker 5: Of course that del Monte golf Course at the Hiatt 1194 00:55:55,360 --> 00:55:58,520 Speaker 5: is the Meekam auction and that's right. We like to 1195 00:55:58,520 --> 00:56:01,120 Speaker 5: think that's the best option on it, and so it's 1196 00:56:01,120 --> 00:56:03,920 Speaker 5: a beautiful display. This year we had six hundred cars 1197 00:56:03,960 --> 00:56:06,920 Speaker 5: that were all displayed out on the golf course on 1198 00:56:06,920 --> 00:56:07,520 Speaker 5: the fairways. 1199 00:56:07,520 --> 00:56:09,240 Speaker 13: That's always a great look. 1200 00:56:09,800 --> 00:56:12,600 Speaker 5: We're the only auction company that is able to display 1201 00:56:12,600 --> 00:56:14,920 Speaker 5: out on a golf course like that. And we had 1202 00:56:15,360 --> 00:56:18,320 Speaker 5: a great collection this year that had seven English cars, 1203 00:56:18,360 --> 00:56:23,399 Speaker 5: seven Porsches, vintage Porches and thirteen vintage Ferraris. We called 1204 00:56:23,400 --> 00:56:27,439 Speaker 5: it the blow Chase Chanel Fast Collection, which translates into 1205 00:56:27,480 --> 00:56:28,520 Speaker 5: fast fast Fast. 1206 00:56:29,840 --> 00:56:33,920 Speaker 2: That collection was Italian, German and English. So what did you, guys? 1207 00:56:34,719 --> 00:56:37,239 Speaker 2: What did you What were the notable sales? What would 1208 00:56:37,280 --> 00:56:39,239 Speaker 2: you say the biggest that stand out for you? 1209 00:56:40,400 --> 00:56:44,960 Speaker 5: Well, I think my observation was across the entire peninsula 1210 00:56:45,080 --> 00:56:48,600 Speaker 5: for the week, I would say the keyword was Ferrari. 1211 00:56:49,600 --> 00:56:50,600 Speaker 2: There were a. 1212 00:56:50,600 --> 00:56:53,800 Speaker 5: Number of significant Ferraris that were on the peninsula, a 1213 00:56:53,840 --> 00:56:55,400 Speaker 5: lot of them for sale. 1214 00:56:55,840 --> 00:56:58,880 Speaker 13: Mikon was no exception. I think four out of the 1215 00:56:58,920 --> 00:57:01,759 Speaker 13: top six cars that we sold. 1216 00:57:01,520 --> 00:57:04,839 Speaker 5: Were Ferraris, two of them in the three million and 1217 00:57:04,840 --> 00:57:07,560 Speaker 5: over three million dollar range of a sixty six Forrari 1218 00:57:07,640 --> 00:57:12,440 Speaker 5: two to seventy five GTV sixty alloy and a nineteen 1219 00:57:12,520 --> 00:57:16,240 Speaker 5: ninety Ferrari F forty. Those those are already significantly popular, 1220 00:57:16,600 --> 00:57:18,920 Speaker 5: and I would suspect that when we when all the 1221 00:57:19,000 --> 00:57:21,480 Speaker 5: numbers are in, we're still counting and we're still selling, 1222 00:57:21,920 --> 00:57:24,840 Speaker 5: but probably seven of the. 1223 00:57:24,120 --> 00:57:27,520 Speaker 13: Top ten cars are auction that sold will be Ferraris. 1224 00:57:27,920 --> 00:57:29,479 Speaker 2: Hey, Dave, give them a sense. 1225 00:57:29,520 --> 00:57:31,920 Speaker 1: Because I didn't really know about this whole world until 1226 00:57:32,000 --> 00:57:34,400 Speaker 1: you know, I started going to the concourse into all 1227 00:57:34,440 --> 00:57:37,440 Speaker 1: this shows all around Monterey and it really. 1228 00:57:37,240 --> 00:57:39,600 Speaker 2: Is a special time. There's something for everybody out there. 1229 00:57:40,720 --> 00:57:42,440 Speaker 1: Give us a sense of how the market is now 1230 00:57:42,480 --> 00:57:45,280 Speaker 1: in terms of the demand, the pricing, the value, because 1231 00:57:45,320 --> 00:57:48,680 Speaker 1: I know these are very substantial investments for a lot 1232 00:57:48,680 --> 00:57:50,360 Speaker 1: of people, and they look at them and they treat 1233 00:57:50,360 --> 00:57:52,480 Speaker 1: them just like they would their stock or bond portfolio. 1234 00:57:52,520 --> 00:57:54,120 Speaker 1: Talk about this is a marketplace. 1235 00:57:55,200 --> 00:57:57,439 Speaker 5: Yeah, Well, first of all, that you know, there are 1236 00:57:57,440 --> 00:58:00,560 Speaker 5: two types of collectors. There are those that collect because 1237 00:58:00,600 --> 00:58:04,320 Speaker 5: there's some emotional or personal attachment to the cars that 1238 00:58:04,360 --> 00:58:06,560 Speaker 5: they have in their collection, and then there are those 1239 00:58:06,640 --> 00:58:11,480 Speaker 5: that are purely transactional financial making investments. And of course 1240 00:58:11,520 --> 00:58:15,640 Speaker 5: the collector car market has shown significant returns as an 1241 00:58:15,640 --> 00:58:20,280 Speaker 5: alternative investment over the last ten to twenty years, averaging 1242 00:58:20,360 --> 00:58:23,160 Speaker 5: over thirty percent return per year, and of course some 1243 00:58:23,280 --> 00:58:27,200 Speaker 5: brand's doing better than others, Ferrari of course leading the way. 1244 00:58:27,960 --> 00:58:30,360 Speaker 5: But the market to the last I would say the 1245 00:58:30,440 --> 00:58:33,280 Speaker 5: last two years since coming out of the pandemic, has 1246 00:58:33,320 --> 00:58:37,680 Speaker 5: been absolutely red hot. We've been seeing thirty percent increases 1247 00:58:37,680 --> 00:58:40,720 Speaker 5: and prices annually, if not more than that for certain 1248 00:58:40,720 --> 00:58:44,440 Speaker 5: select cars, and it truly has been a seller's market. 1249 00:58:45,000 --> 00:58:47,480 Speaker 5: I would say this year, in twenty twenty three, we're 1250 00:58:47,520 --> 00:58:51,800 Speaker 5: seeing the prices not accelerating as fast as they have 1251 00:58:51,960 --> 00:58:54,760 Speaker 5: the last couple of years, which is beneficial of course 1252 00:58:55,200 --> 00:58:58,720 Speaker 5: to buyers and collectors. And my observation is right now 1253 00:58:58,760 --> 00:59:02,440 Speaker 5: we have a balance that's it's still a great market 1254 00:59:02,520 --> 00:59:06,880 Speaker 5: for sellers. They're still seeing strong prices, but it's a 1255 00:59:06,920 --> 00:59:10,360 Speaker 5: little more reasonable and easier to catch the market, if 1256 00:59:10,400 --> 00:59:13,160 Speaker 5: you will, if you're a buyer as well, and that's 1257 00:59:13,200 --> 00:59:14,520 Speaker 5: resulting in great sales. 1258 00:59:15,640 --> 00:59:18,840 Speaker 2: What data do you rely on or what people do 1259 00:59:18,880 --> 00:59:22,280 Speaker 2: you rely on to help you set you know, the 1260 00:59:22,320 --> 00:59:29,280 Speaker 2: initial prices. I look at some cars, you know, just 1261 00:59:28,960 --> 00:59:32,080 Speaker 2: just from my experience as a kid who love, for example, 1262 00:59:32,360 --> 00:59:36,000 Speaker 2: the Lamborghini Cuntosh or the Ferrari threeh eight, you know, 1263 00:59:36,120 --> 00:59:39,160 Speaker 2: and there were times when they were going for twenty 1264 00:59:39,200 --> 00:59:42,120 Speaker 2: five thousand dollars and then times when they were going 1265 00:59:42,200 --> 00:59:46,520 Speaker 2: for two fifty and more. So, who do you rely 1266 00:59:46,600 --> 00:59:47,960 Speaker 2: on or what do you rely on to get the 1267 00:59:48,040 --> 00:59:50,720 Speaker 2: data to price these vehicles well? 1268 00:59:51,080 --> 00:59:54,360 Speaker 5: As I'm sure you're aware, Miekam has been in this 1269 00:59:54,480 --> 00:59:57,800 Speaker 5: business for thirty five years and we are the largest 1270 00:59:57,800 --> 01:00:01,720 Speaker 5: collector car auction company in the world worlds selling roughly 1271 01:00:01,800 --> 01:00:06,080 Speaker 5: fifteen thousand cars a year at live auction for a 1272 01:00:06,080 --> 01:00:08,920 Speaker 5: little over eight hundred million dollars. So primarily we rely 1273 01:00:09,000 --> 01:00:12,480 Speaker 5: on our own expertise and our own knowledge of the market. 1274 01:00:12,800 --> 01:00:14,880 Speaker 5: But all of the cars that come to our auction 1275 01:00:14,960 --> 01:00:19,960 Speaker 5: are consigned cars. We're an auctioneer selling consignment cars for collectors, 1276 01:00:20,480 --> 01:00:24,040 Speaker 5: and collectors have an idea of their particular collection or 1277 01:00:24,080 --> 01:00:26,560 Speaker 5: their particular car, what they believe that's worth, and of 1278 01:00:26,600 --> 01:00:31,080 Speaker 5: course they keep abreast of the market for their particular 1279 01:00:31,160 --> 01:00:33,479 Speaker 5: area of interest, and. 1280 01:00:33,560 --> 01:00:35,040 Speaker 13: We work with the collectors. 1281 01:00:35,120 --> 01:00:40,320 Speaker 5: We combine our expertise and their expectations to help them 1282 01:00:40,400 --> 01:00:43,720 Speaker 5: understand what we think the pricing is in the current marketplace. 1283 01:00:44,880 --> 01:00:46,800 Speaker 1: David seems, you know when I spend a lot of 1284 01:00:46,800 --> 01:00:49,160 Speaker 1: time in Carmel, and you know during car Week there'll 1285 01:00:49,200 --> 01:00:51,400 Speaker 1: be people from all over the world, and a lot 1286 01:00:51,440 --> 01:00:56,160 Speaker 1: of Italians in particular. Who comes to the Monterey Peninsula 1287 01:00:56,400 --> 01:00:59,640 Speaker 1: here in August for all of these auctions, it seems 1288 01:00:59,640 --> 01:01:01,160 Speaker 1: like it's a international affair. 1289 01:01:02,440 --> 01:01:05,200 Speaker 5: Yeah, will do sixteen auctions this year, and I would 1290 01:01:05,240 --> 01:01:09,960 Speaker 5: say of those sixteen, three of them our national events. 1291 01:01:09,960 --> 01:01:13,280 Speaker 5: Most of them are more regional in scope Kassimi, Florida. 1292 01:01:13,320 --> 01:01:16,280 Speaker 5: Of course, the world's largest collector car auction in January 1293 01:01:16,480 --> 01:01:20,640 Speaker 5: is a national and somewhat international event. Our second biggest 1294 01:01:20,640 --> 01:01:23,760 Speaker 5: event in Indianapolis, Indiana in the Spring Classic in May, 1295 01:01:24,120 --> 01:01:28,920 Speaker 5: again an international event, mostly national, but certainly not regional. 1296 01:01:29,360 --> 01:01:33,040 Speaker 5: Monterey is the one exception where I would say primarily 1297 01:01:33,200 --> 01:01:35,640 Speaker 5: it is international. Of course, there are a lot of 1298 01:01:35,800 --> 01:01:40,040 Speaker 5: US domestic buyers and sellers, but just folks that I 1299 01:01:40,200 --> 01:01:42,880 Speaker 5: talked to over the last three or four days and 1300 01:01:43,040 --> 01:01:47,600 Speaker 5: interviews that I've done from Germany, from France, from Italy, 1301 01:01:47,640 --> 01:01:49,360 Speaker 5: from Australia, from Great Britain. 1302 01:01:50,280 --> 01:01:51,840 Speaker 13: There are a lot of accidents at the auction. 1303 01:01:53,080 --> 01:01:57,000 Speaker 1: So is your market any predictor for the overall economy 1304 01:01:57,040 --> 01:01:59,720 Speaker 1: because here on Global Wall Street, Dave, we've been talking 1305 01:01:59,760 --> 01:02:02,160 Speaker 1: about a recession here for will more than a year. 1306 01:02:02,440 --> 01:02:05,000 Speaker 1: How does your market simply reflect what's going on in 1307 01:02:05,000 --> 01:02:05,560 Speaker 1: the economy. 1308 01:02:06,640 --> 01:02:09,520 Speaker 5: Well, what we've seen, and this would go back to 1309 01:02:09,800 --> 01:02:13,880 Speaker 5: I would say pre two thousand and eight even and 1310 01:02:13,920 --> 01:02:16,680 Speaker 5: in some cases pre nineteen ninety one, when we had 1311 01:02:17,080 --> 01:02:20,720 Speaker 5: significant issues in the economies before. What we've seen is 1312 01:02:20,720 --> 01:02:24,480 Speaker 5: that the collector car market is relatively resilient and that's because, 1313 01:02:24,640 --> 01:02:27,800 Speaker 5: just antecdotally in my mind, when things are going very 1314 01:02:27,920 --> 01:02:34,960 Speaker 5: very well, investors collectors feel very secure in their financial environment, 1315 01:02:35,080 --> 01:02:38,439 Speaker 5: very flushed with cash, if you will, and it's time 1316 01:02:38,520 --> 01:02:40,840 Speaker 5: to maybe use some of that to invest. 1317 01:02:40,480 --> 01:02:43,479 Speaker 13: In something in a collector car, something that I've wanted 1318 01:02:43,520 --> 01:02:45,040 Speaker 13: for a very, very long time. 1319 01:02:45,600 --> 01:02:49,320 Speaker 5: And conversely, when things are going very poorly, we see 1320 01:02:49,320 --> 01:02:51,120 Speaker 5: a lot of money that comes out of the market 1321 01:02:52,160 --> 01:02:55,440 Speaker 5: because of the uncertainty and the fear that's in the markets. 1322 01:02:55,880 --> 01:02:57,880 Speaker 5: And as money comes out of the market, that money 1323 01:02:57,920 --> 01:03:00,000 Speaker 5: is looking for a home. And as I mentioned previously, 1324 01:03:00,840 --> 01:03:04,520 Speaker 5: the collector car market has been a great alternative investment 1325 01:03:04,520 --> 01:03:06,920 Speaker 5: asset and you get to drive it on Sundays down 1326 01:03:06,960 --> 01:03:07,680 Speaker 5: to meet your friends. 1327 01:03:07,760 --> 01:03:08,920 Speaker 13: So a lot of. 1328 01:03:08,880 --> 01:03:11,320 Speaker 5: Money we see come out of the market goes into 1329 01:03:11,360 --> 01:03:14,320 Speaker 5: collector cars during that period. So we've I don't know 1330 01:03:14,360 --> 01:03:17,280 Speaker 5: that we in the collector car business are an indicator 1331 01:03:18,080 --> 01:03:20,000 Speaker 5: of what might be going on in the economy, and 1332 01:03:20,040 --> 01:03:23,840 Speaker 5: I would certainly say we are relatively resilient to what 1333 01:03:23,920 --> 01:03:25,040 Speaker 5: goes on in the economy. 1334 01:03:25,240 --> 01:03:27,040 Speaker 1: All Right, Dave, thanks for joining us. I know it's 1335 01:03:27,040 --> 01:03:29,640 Speaker 1: been a busy, busy week. You just concluded out there 1336 01:03:29,680 --> 01:03:31,880 Speaker 1: on the Monterey Peninsula and for those car people out 1337 01:03:31,920 --> 01:03:34,320 Speaker 1: there who haven't been, it is a. 1338 01:03:34,160 --> 01:03:36,439 Speaker 2: Bucket list thing to do. It is a great week. 1339 01:03:36,600 --> 01:03:40,680 Speaker 2: They've major CEO of Meek Them Auctions. Thanks for listening 1340 01:03:40,720 --> 01:03:44,200 Speaker 2: to the Bloomberg Markets podcast. You can subscribe and listen 1341 01:03:44,240 --> 01:03:48,520 Speaker 2: to interviews at Apple Podcasts or whatever podcast platform you prefer. 1342 01:03:48,920 --> 01:03:52,160 Speaker 2: I'm Matt Miller. I'm on Twitter at Matt Miller nineteen 1343 01:03:52,240 --> 01:03:55,720 Speaker 2: seventy three. And I'm Paul Sweeney. I'm on Twitter at Ptsweeney. 1344 01:03:55,840 --> 01:03:58,480 Speaker 1: Before the podcast, you can always catch us worldwide at 1345 01:03:58,520 --> 01:03:59,520 Speaker 1: Bloomberg Radio