1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:21,240 Speaker 1: on Apple car Play or Android Auto with the Bloomberg 4 00:00:21,320 --> 00:00:24,840 Speaker 1: Business App, Listen on demand wherever you get your podcasts, 5 00:00:25,280 --> 00:00:27,160 Speaker 1: or watch us live on YouTube. 6 00:00:27,160 --> 00:00:28,520 Speaker 2: Gotta make sense of it all exactly. 7 00:00:28,600 --> 00:00:30,720 Speaker 3: We can do that with Cam Dawson, chief investment officer 8 00:00:30,920 --> 00:00:31,680 Speaker 3: at New Edgewells. 9 00:00:31,680 --> 00:00:33,720 Speaker 4: She joins us here in our Bloomberg Interactive Broker studio. 10 00:00:33,960 --> 00:00:36,240 Speaker 3: Cam, what did you make of the trading activity yesterday? 11 00:00:36,240 --> 00:00:37,440 Speaker 3: It was really a whip saw. 12 00:00:37,600 --> 00:00:40,839 Speaker 5: Yeah, yesterday is an was an outside reversal or what 13 00:00:40,880 --> 00:00:44,080 Speaker 5: we call in show business a bearish in golfing, So 14 00:00:44,479 --> 00:00:47,720 Speaker 5: when you have price action like this, it usually does 15 00:00:47,840 --> 00:00:51,680 Speaker 5: proceed more volatility, which just means that we should get 16 00:00:51,760 --> 00:00:54,000 Speaker 5: used to seeing some more of this chop. We're looking 17 00:00:54,040 --> 00:00:56,480 Speaker 5: for the sixty five hundred level where we're trading right 18 00:00:56,520 --> 00:00:57,280 Speaker 5: now to hold. 19 00:00:57,320 --> 00:00:58,280 Speaker 6: That's really important. 20 00:00:58,320 --> 00:01:01,320 Speaker 5: That's your one hundred day moving average. If that doesn't hold, 21 00:01:01,440 --> 00:01:04,280 Speaker 5: it brings sixty one hundred in play your two hundred 22 00:01:04,360 --> 00:01:07,920 Speaker 5: day moving average, which would also be the peak back 23 00:01:07,959 --> 00:01:11,000 Speaker 5: in February. So if you got to those levels, you'd 24 00:01:11,000 --> 00:01:14,760 Speaker 5: certainly see more oversold conditions. Notably, today the market is 25 00:01:14,840 --> 00:01:18,000 Speaker 5: not over sold yet externally on something like an RSI. 26 00:01:18,160 --> 00:01:22,400 Speaker 5: It's also not oversold internally, meaning breadth hasn't been totally 27 00:01:22,520 --> 00:01:25,360 Speaker 5: washed out yet, So all of us put together probably 28 00:01:25,400 --> 00:01:26,520 Speaker 5: accept more chop and churn. 29 00:01:26,880 --> 00:01:29,680 Speaker 2: So yeah, because the S and P five hundred finished 30 00:01:29,760 --> 00:01:32,240 Speaker 2: yesterday well just below it's one hundred day moving average, 31 00:01:32,240 --> 00:01:33,600 Speaker 2: we haven't seen that happen in months. I think the 32 00:01:33,680 --> 00:01:36,039 Speaker 2: last time was when President Trump announced the tariffs back 33 00:01:36,040 --> 00:01:37,040 Speaker 2: in April, right. 34 00:01:37,040 --> 00:01:40,000 Speaker 5: Yeah, And I think it's fascinating that just a couple 35 00:01:40,000 --> 00:01:42,800 Speaker 5: of weeks ago we had had the longest streak above 36 00:01:42,800 --> 00:01:45,559 Speaker 5: the fifty day moving average since two thousand and seven. 37 00:01:45,600 --> 00:01:45,880 Speaker 7: Wow. 38 00:01:46,040 --> 00:01:49,960 Speaker 5: So we were in this environment of incredibly low volatility, which, 39 00:01:50,000 --> 00:01:53,720 Speaker 5: of course we know low volatility tends to breed complacency, 40 00:01:54,160 --> 00:01:57,280 Speaker 5: and we saw complacency in many places, with fineral margin 41 00:01:57,360 --> 00:02:01,480 Speaker 5: loan balances surging higher by thirty five percentiment retail traders 42 00:02:01,520 --> 00:02:05,120 Speaker 5: were going all in adding leverage. All of this suggested 43 00:02:05,240 --> 00:02:07,240 Speaker 5: is that people were thinking that the good times were 44 00:02:07,280 --> 00:02:09,440 Speaker 5: going to keep on rolling. But of course, as we know, 45 00:02:10,080 --> 00:02:13,280 Speaker 5: what's the law of perversity, is that the market will 46 00:02:13,360 --> 00:02:15,239 Speaker 5: work to make the greatest fool out of the greatest 47 00:02:15,320 --> 00:02:17,360 Speaker 5: number of people to the greatest possible extent. 48 00:02:17,960 --> 00:02:18,959 Speaker 4: Yesterday was a day. 49 00:02:19,360 --> 00:02:22,959 Speaker 3: You know, we had the Nvidia numbers Wednesday evening, setting 50 00:02:23,000 --> 00:02:25,600 Speaker 3: up for good trading on Thursday because it seemed like 51 00:02:25,680 --> 00:02:27,560 Speaker 3: the AI play was still very. 52 00:02:27,520 --> 00:02:30,200 Speaker 4: Much in play, but then it wasn't. 53 00:02:30,480 --> 00:02:34,359 Speaker 3: Yeah, so how important is that AI theme as a 54 00:02:34,400 --> 00:02:37,040 Speaker 3: growth driver for the overall market? 55 00:02:37,120 --> 00:02:38,040 Speaker 4: How important is that? 56 00:02:38,080 --> 00:02:38,360 Speaker 1: Still? 57 00:02:38,480 --> 00:02:41,160 Speaker 5: It's still incredibly important, And we think that there's an 58 00:02:41,160 --> 00:02:45,040 Speaker 5: important nuance to the Nvidia numbers, which is that In 59 00:02:45,160 --> 00:02:50,359 Speaker 5: Video's strong earnings actually makes the questions around AI overspending 60 00:02:50,560 --> 00:02:54,480 Speaker 5: even louder. Okay, because the AI questions were not whether 61 00:02:54,560 --> 00:02:55,720 Speaker 5: or not companies were spending. 62 00:02:55,800 --> 00:02:56,320 Speaker 6: We knew that. 63 00:02:56,400 --> 00:02:58,560 Speaker 5: We knew that by the Capex guidance, so we knew 64 00:02:58,600 --> 00:03:01,520 Speaker 5: in Video results would be good. The big question was 65 00:03:01,680 --> 00:03:04,760 Speaker 5: are the people who are spending on AI Capex are 66 00:03:04,760 --> 00:03:07,240 Speaker 5: they earning a return on it that is justified to 67 00:03:07,280 --> 00:03:10,440 Speaker 5: different shareholders, not just their equity shareholders, but now all 68 00:03:10,480 --> 00:03:12,079 Speaker 5: of this death that they're raising as well. 69 00:03:12,360 --> 00:03:14,680 Speaker 2: So then what's it going to take for the market 70 00:03:14,720 --> 00:03:17,720 Speaker 2: to feel better? I guess about all the capex spending 71 00:03:17,760 --> 00:03:18,120 Speaker 2: and AI. 72 00:03:18,440 --> 00:03:21,840 Speaker 6: Yeah, it's an interesting question. 73 00:03:22,280 --> 00:03:24,680 Speaker 5: If you were to see somebody like Meta come out 74 00:03:24,720 --> 00:03:27,680 Speaker 5: and say we're reducing our capex spend next year, potentially 75 00:03:27,680 --> 00:03:30,200 Speaker 5: because the stock has done so much, how would. 76 00:03:30,000 --> 00:03:30,920 Speaker 6: The market react. 77 00:03:31,080 --> 00:03:33,920 Speaker 5: Would they be supportive of that or would it cause 78 00:03:33,919 --> 00:03:38,480 Speaker 5: a further unwind of all of these earnings expectations as 79 00:03:38,520 --> 00:03:40,640 Speaker 5: well as valuations that are built on this idea that 80 00:03:40,680 --> 00:03:43,520 Speaker 5: you're going to see trillions of dollars of spend. So 81 00:03:43,600 --> 00:03:45,520 Speaker 5: I think that that is the big question as we 82 00:03:45,560 --> 00:03:48,200 Speaker 5: go into twenty twenty six, is that do they continue 83 00:03:48,240 --> 00:03:51,600 Speaker 5: to wraphet up capex expectations in the face of a 84 00:03:51,680 --> 00:03:54,640 Speaker 5: market that seems to have lost its tolerance for it. 85 00:03:55,440 --> 00:03:57,080 Speaker 3: So we did get a lot of economic data today, 86 00:03:57,080 --> 00:03:59,040 Speaker 3: We're going to get some more today with some pmis. 87 00:03:59,040 --> 00:04:01,920 Speaker 3: We're going to get the EU mission data as well. Here, 88 00:04:02,840 --> 00:04:05,920 Speaker 3: how do you think the FED is kind of ingesting 89 00:04:05,960 --> 00:04:07,520 Speaker 3: all this data we're starting to get? 90 00:04:07,560 --> 00:04:07,720 Speaker 1: Then? 91 00:04:07,920 --> 00:04:10,920 Speaker 5: Yeah, well the data is now so backward looking, and 92 00:04:10,960 --> 00:04:13,400 Speaker 5: important to note that when they meet next in December, 93 00:04:13,440 --> 00:04:16,800 Speaker 5: they're not going to have the October or November jobs report, 94 00:04:17,080 --> 00:04:19,880 Speaker 5: so they're still going to be in this flying blind, 95 00:04:20,000 --> 00:04:23,320 Speaker 5: which means that it's likely that they lean towards this 96 00:04:23,440 --> 00:04:26,279 Speaker 5: hawkish side of things in the unknowing of what the 97 00:04:26,360 --> 00:04:29,200 Speaker 5: jobs market is doing. I would say, though, is that 98 00:04:29,680 --> 00:04:33,400 Speaker 5: if we see this equity market volatility continue, it actually 99 00:04:33,480 --> 00:04:36,400 Speaker 5: likely pushes them more towards a rate cut, because the 100 00:04:36,400 --> 00:04:39,320 Speaker 5: best argument that you have for not cutting rates was 101 00:04:39,360 --> 00:04:42,599 Speaker 5: looking at broad financial conditions. But if broad financial conditions, 102 00:04:42,640 --> 00:04:46,520 Speaker 5: which include equities, include credit, and include volatility, if those 103 00:04:46,680 --> 00:04:49,400 Speaker 5: move to titan, that actually could push the FED to 104 00:04:49,480 --> 00:04:52,720 Speaker 5: delivering a cut because of what it could be implying 105 00:04:52,760 --> 00:04:54,720 Speaker 5: about the underlying economy. 106 00:04:55,080 --> 00:04:58,880 Speaker 2: So I'm just curious how much of this aggressive selling 107 00:04:59,040 --> 00:05:03,080 Speaker 2: that we've been seeing is really about technical dynamics. 108 00:05:03,480 --> 00:05:05,480 Speaker 5: I think it's a large part of it because when 109 00:05:05,520 --> 00:05:08,440 Speaker 5: we look at the trading in September in October, it 110 00:05:08,600 --> 00:05:11,960 Speaker 5: really wasn't justified for as much as high as things 111 00:05:12,000 --> 00:05:15,120 Speaker 5: had moved, you had over a thirty percent rally in 112 00:05:15,160 --> 00:05:18,400 Speaker 5: the socks in those two months alone, the semiconductor index, 113 00:05:18,760 --> 00:05:22,200 Speaker 5: So there was a frothiness, a speculative nature of the 114 00:05:22,200 --> 00:05:25,000 Speaker 5: way that we saw things trade back in those two months. 115 00:05:25,279 --> 00:05:27,800 Speaker 6: So we've effectively now reversed. 116 00:05:27,400 --> 00:05:30,719 Speaker 5: Most of that of that rally higher, and the question 117 00:05:30,800 --> 00:05:33,040 Speaker 5: is do you have to shake out any further hands 118 00:05:33,040 --> 00:05:35,279 Speaker 5: because you saw so much leverage being added and you 119 00:05:35,320 --> 00:05:37,440 Speaker 5: saw people really trying to add on to risk. 120 00:05:37,839 --> 00:05:39,560 Speaker 6: Some of that is just getting the air taken out 121 00:05:39,560 --> 00:05:39,760 Speaker 6: of it. 122 00:05:40,680 --> 00:05:43,840 Speaker 3: Earnings, we had a good, solid earnings this season. We 123 00:05:43,839 --> 00:05:45,599 Speaker 3: have still have some more retailers to go here, but 124 00:05:45,960 --> 00:05:48,200 Speaker 3: double digit growth in the third quarter, double digit growth 125 00:05:48,240 --> 00:05:50,200 Speaker 3: in the second quarter. How do you feel about the 126 00:05:50,240 --> 00:05:53,400 Speaker 3: earnings power this market? Is it enough to support this market? 127 00:05:53,560 --> 00:05:53,800 Speaker 1: Yeah? 128 00:05:54,240 --> 00:05:57,280 Speaker 5: We continue to come back to looking at Ford earnings 129 00:05:57,320 --> 00:06:00,320 Speaker 5: expectations and say, look, twenty five and twenty twenty six 130 00:06:00,440 --> 00:06:04,400 Speaker 5: estimates are still moving higher. That is usually broadly supportive 131 00:06:04,440 --> 00:06:08,200 Speaker 5: of risk assets. The caveat to that is that earnings 132 00:06:08,320 --> 00:06:12,400 Speaker 5: do lag overall prices, meaning that the street consensus will 133 00:06:12,440 --> 00:06:14,880 Speaker 5: always be late to the game. We've been using the 134 00:06:14,920 --> 00:06:18,080 Speaker 5: song the Deep track from Britney Spears first album, Don't 135 00:06:18,120 --> 00:06:21,800 Speaker 5: let Me be the last to know, because earnings usually 136 00:06:21,839 --> 00:06:23,880 Speaker 5: are the last to know when you see a turn. 137 00:06:24,320 --> 00:06:27,880 Speaker 6: Go back to year like twenty twenty two, you had a. 138 00:06:27,800 --> 00:06:30,120 Speaker 5: Peak in the market that was actually four to five 139 00:06:30,160 --> 00:06:33,039 Speaker 5: months before the peak and earnings estaments. So what we 140 00:06:33,080 --> 00:06:35,880 Speaker 5: continuously have to do is really test earning sestments to 141 00:06:35,960 --> 00:06:39,240 Speaker 5: think are they continuing to be revised higher or potentially 142 00:06:39,520 --> 00:06:41,120 Speaker 5: are their rooms for revisions lower. 143 00:06:41,200 --> 00:06:43,520 Speaker 2: You read those tea leaves. This is what we try to. 144 00:06:43,520 --> 00:06:45,320 Speaker 6: Do, all to a soundtrack of Britney Spears. 145 00:06:45,360 --> 00:06:47,800 Speaker 4: Yes h Hi, Cameron, thank you so much for joining us. 146 00:06:47,800 --> 00:06:48,360 Speaker 4: Really appreciated. 147 00:06:48,400 --> 00:06:51,600 Speaker 3: Cameron Dawson, Chief investment Officer, New Edge Wealth, trying to 148 00:06:51,600 --> 00:06:53,280 Speaker 3: get a handle on this market today with us. 149 00:06:53,320 --> 00:06:55,840 Speaker 4: More from Bloomberg Surveillance coming up after this. 150 00:07:05,240 --> 00:07:08,839 Speaker 1: You're listening to the Bloomberg Surveillance Podcast. Catch us live 151 00:07:08,880 --> 00:07:12,040 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on 152 00:07:12,120 --> 00:07:15,800 Speaker 1: Applecarplay and Android Otto with the Bloomberg Business app, or 153 00:07:15,960 --> 00:07:17,440 Speaker 1: watch us live on YouTube. 154 00:07:17,480 --> 00:07:20,440 Speaker 2: We know we got that much delayed September job support yesterday. 155 00:07:20,520 --> 00:07:23,320 Speaker 2: It was a mixed bag at best, and it was 156 00:07:23,400 --> 00:07:26,280 Speaker 2: just part of the story that we saw that volatility 157 00:07:26,320 --> 00:07:29,240 Speaker 2: yesterday in the stock market. So let's talk econ data, 158 00:07:29,280 --> 00:07:30,880 Speaker 2: which now we're getting more and more of it now 159 00:07:30,880 --> 00:07:35,040 Speaker 2: that the government shutdown is over. We've got Lena shul Yativa, 160 00:07:35,200 --> 00:07:37,760 Speaker 2: senior economist at the Conference Board, with us here live 161 00:07:37,880 --> 00:07:41,720 Speaker 2: in studio Elena, what did you make of I want 162 00:07:41,720 --> 00:07:43,880 Speaker 2: to ask what did you make of the reaction to 163 00:07:43,960 --> 00:07:46,520 Speaker 2: the job support yesterday, given the fact that it was 164 00:07:46,560 --> 00:07:47,600 Speaker 2: two months old. 165 00:07:47,880 --> 00:07:50,240 Speaker 8: It's two months old, but that's what we have. It 166 00:07:50,400 --> 00:07:54,360 Speaker 8: was so exciting to finally have the data, right. Well, 167 00:07:54,880 --> 00:07:59,680 Speaker 8: it's kind of the last clear data ahead of the shutdown. 168 00:08:00,560 --> 00:08:03,480 Speaker 8: So and already you see a pickup in the unemployment 169 00:08:03,560 --> 00:08:07,920 Speaker 8: rate even before the shutdown. Is probably going to affect 170 00:08:08,040 --> 00:08:12,040 Speaker 8: the data on the private jobs, right it will also 171 00:08:12,280 --> 00:08:15,160 Speaker 8: we will probably also see a pickup in the unemployment 172 00:08:15,240 --> 00:08:20,559 Speaker 8: rate given that a lot of federal government employees are 173 00:08:20,920 --> 00:08:25,240 Speaker 8: running rolling off from the payroll in October. So that's 174 00:08:25,280 --> 00:08:29,040 Speaker 8: a signal that the risks to the labor side of 175 00:08:29,120 --> 00:08:32,920 Speaker 8: the dual mandate for the Fed are actually rising. So 176 00:08:33,559 --> 00:08:36,480 Speaker 8: to me, the market reaction yesterday makes a lot of 177 00:08:36,520 --> 00:08:40,440 Speaker 8: sense with the odds of a cut rising, right, But 178 00:08:41,480 --> 00:08:46,160 Speaker 8: I think it's still very undecided territory. You know, there's 179 00:08:46,240 --> 00:08:51,280 Speaker 8: a lot of discussion about you know, payrolls itself. The reading, 180 00:08:51,320 --> 00:08:55,240 Speaker 8: the headline reading was pretty solid, so whatever you want. 181 00:08:55,120 --> 00:08:55,760 Speaker 6: To make of it. 182 00:08:56,920 --> 00:08:58,920 Speaker 2: I have a follow up on this unemployment rate though, 183 00:08:58,920 --> 00:09:01,120 Speaker 2: going up second month in a row, right, Well, we're 184 00:09:01,160 --> 00:09:03,560 Speaker 2: talking about September now to four point four percent, highest 185 00:09:03,559 --> 00:09:05,640 Speaker 2: in four years. What do you make of some people 186 00:09:05,679 --> 00:09:07,240 Speaker 2: going but wait a minute, it rose for the right 187 00:09:07,360 --> 00:09:10,520 Speaker 2: quote unquote right reasons because workers who were on the 188 00:09:10,520 --> 00:09:12,839 Speaker 2: sidelines came back in and were actively looking for work. 189 00:09:12,840 --> 00:09:15,640 Speaker 2: And I guess that's when you're considered unemployed, right, is 190 00:09:15,640 --> 00:09:18,040 Speaker 2: when you're actively looking for work. You're part of that survey. 191 00:09:18,280 --> 00:09:19,160 Speaker 2: What do you make of that? 192 00:09:19,480 --> 00:09:23,640 Speaker 8: I agree that you know, unemployment rate rising because people 193 00:09:23,720 --> 00:09:28,760 Speaker 8: cannot find jobs and they're looking is better than outright layoffs. 194 00:09:29,280 --> 00:09:34,160 Speaker 8: But you know, permanent layoffs also increased in the report yesterday, 195 00:09:34,400 --> 00:09:38,199 Speaker 8: So again there's a lot of mixed signals there. And yes, 196 00:09:38,360 --> 00:09:42,520 Speaker 8: the unemployment rate increased since it's droughed back in twenty 197 00:09:42,559 --> 00:09:46,880 Speaker 8: twenty three, has been driven by long term unemployment people 198 00:09:47,000 --> 00:09:49,480 Speaker 8: not able to find jobs. At the end of the day, 199 00:09:49,800 --> 00:09:53,080 Speaker 8: whatever the reason is, right, the increase in the unemployment 200 00:09:53,160 --> 00:09:57,280 Speaker 8: rate is a bad thing, and if anything, it increases 201 00:09:57,360 --> 00:10:01,360 Speaker 8: the risks that things could deteriorate. So I think it's 202 00:10:01,400 --> 00:10:04,640 Speaker 8: still unclear what's going to happen on decemb tenth. 203 00:10:05,120 --> 00:10:07,280 Speaker 4: Elena, Is there an unemployment rate? 204 00:10:07,400 --> 00:10:10,920 Speaker 3: Is there a headline rate that the Fed says, oh boy, 205 00:10:11,160 --> 00:10:13,360 Speaker 3: we got to do something here in terms of maybe 206 00:10:13,400 --> 00:10:15,400 Speaker 3: getting a little bit more aggressive. Is there a rate 207 00:10:15,440 --> 00:10:16,960 Speaker 3: out there they think is a trigger rate? 208 00:10:17,720 --> 00:10:21,760 Speaker 8: Well, they do have a summer of economic projections, right 209 00:10:21,880 --> 00:10:26,480 Speaker 8: so I'd say that that should be our kind of 210 00:10:26,559 --> 00:10:31,040 Speaker 8: like goal in terms of seeing what they think is 211 00:10:31,080 --> 00:10:34,400 Speaker 8: better and good. And if unemployment rate continues to rise, 212 00:10:34,520 --> 00:10:37,480 Speaker 8: and probably in October and November it will rise for 213 00:10:37,559 --> 00:10:41,200 Speaker 8: the reasons that I mentioned, that would go above the 214 00:10:41,440 --> 00:10:46,320 Speaker 8: projection of what they see as a predicament for three 215 00:10:46,400 --> 00:10:49,880 Speaker 8: rate cuts this year. So that should be our guide, 216 00:10:49,960 --> 00:10:53,000 Speaker 8: I think. But in terms of like an absolute value, 217 00:10:53,200 --> 00:10:54,800 Speaker 8: there is no such thing. 218 00:10:55,240 --> 00:10:56,840 Speaker 7: It depends on the supply side. 219 00:10:57,000 --> 00:10:59,320 Speaker 2: Right now, as we start to get more economic data, 220 00:10:59,360 --> 00:11:01,800 Speaker 2: we're going to start to get reports where the government 221 00:11:01,800 --> 00:11:04,600 Speaker 2: shutdown you can really see it play out in the numbers. 222 00:11:05,080 --> 00:11:07,480 Speaker 2: My question is how much should we hang our hat 223 00:11:07,520 --> 00:11:10,400 Speaker 2: on those numbers because the government shutdown was just a 224 00:11:10,440 --> 00:11:11,640 Speaker 2: moment in time and now it's over. 225 00:11:12,120 --> 00:11:18,080 Speaker 8: Well, you have government federal government employees leaving for all 226 00:11:18,200 --> 00:11:20,920 Speaker 8: kinds of different reasons. Are they going to be able 227 00:11:20,960 --> 00:11:23,559 Speaker 8: to find a job that easily in the private set 228 00:11:23,559 --> 00:11:28,480 Speaker 8: that when the hiring rate is so low. So yes, okay, 229 00:11:28,720 --> 00:11:32,440 Speaker 8: I understand the shutdown is over. I don't think that 230 00:11:32,720 --> 00:11:34,120 Speaker 8: the rebound will be. 231 00:11:34,200 --> 00:11:35,920 Speaker 2: You know, because you don't think you'll be really quick. 232 00:11:36,040 --> 00:11:37,280 Speaker 2: You don't think it's going to be a full one. 233 00:11:37,440 --> 00:11:38,760 Speaker 2: So you think we're going to take a big hit 234 00:11:38,800 --> 00:11:41,720 Speaker 2: to GDP because this was the forty three day shutdown. 235 00:11:41,840 --> 00:11:45,439 Speaker 8: We estimate half a percentage point in Q four, so 236 00:11:45,480 --> 00:11:49,800 Speaker 8: it's lower than say CBO's estimate. You know, we still 237 00:11:50,080 --> 00:11:53,640 Speaker 8: have some time in the fourth quarter to recuperate some losses, 238 00:11:54,280 --> 00:11:57,960 Speaker 8: so probably half a percentage point, which wire is significant 239 00:11:58,400 --> 00:11:59,679 Speaker 8: by historical standards. 240 00:12:00,080 --> 00:12:04,640 Speaker 3: It appears in this labor market there's there's some layoffs, 241 00:12:04,679 --> 00:12:06,640 Speaker 3: but there's not like a mass layoffs, but there's certainly 242 00:12:06,720 --> 00:12:08,640 Speaker 3: not a big hiring out there. 243 00:12:08,760 --> 00:12:10,680 Speaker 4: Is that Is that a typical. 244 00:12:10,280 --> 00:12:13,920 Speaker 3: Environment for a labor market or they're not letting people go, 245 00:12:14,000 --> 00:12:14,839 Speaker 3: but they're not hiring them. 246 00:12:14,920 --> 00:12:18,240 Speaker 8: It's quite typical. Well, when the economy is kind of 247 00:12:18,240 --> 00:12:21,680 Speaker 8: a full employment, so you know, it's a good spot 248 00:12:21,760 --> 00:12:24,960 Speaker 8: to be. It doesn't mean that things are deteriorating, but 249 00:12:25,040 --> 00:12:28,280 Speaker 8: it's a risky situation because you know, what's the next 250 00:12:28,320 --> 00:12:30,920 Speaker 8: step for a company. If you need to cut costs, 251 00:12:31,080 --> 00:12:34,960 Speaker 8: if something you know happens, some exogenous shock happens, you 252 00:12:35,000 --> 00:12:38,640 Speaker 8: don't have that cursion when you can kind of like 253 00:12:38,760 --> 00:12:42,480 Speaker 8: slow down. You're hiring to cut costs. The next step 254 00:12:42,559 --> 00:12:46,360 Speaker 8: is layoffs if something happens. But so far it's been 255 00:12:46,760 --> 00:12:47,760 Speaker 8: relatively healthy. 256 00:12:48,120 --> 00:12:51,120 Speaker 2: Were there any signs in this job support that raised 257 00:12:51,200 --> 00:12:53,960 Speaker 2: inflation flags for you? I know, wages went up, not 258 00:12:54,080 --> 00:12:56,600 Speaker 2: buy a lot, and you know, is it keeping up 259 00:12:56,600 --> 00:12:58,080 Speaker 2: with inflation? I don't think. 260 00:12:57,960 --> 00:13:01,560 Speaker 8: It's still elevated. It's still elevated, but it takes time. 261 00:13:02,080 --> 00:13:05,920 Speaker 8: And I always look at Atlanta FED numbers. You know, 262 00:13:06,080 --> 00:13:11,440 Speaker 8: job switches, job stairs. There's no big margin between those 263 00:13:11,480 --> 00:13:15,520 Speaker 8: two right now. So to me, it says that labor 264 00:13:15,520 --> 00:13:19,560 Speaker 8: market wage inflation is subsiding, so it should not be 265 00:13:20,040 --> 00:13:24,120 Speaker 8: a big source of inflation going forward, which actually Chia 266 00:13:24,200 --> 00:13:25,800 Speaker 8: Powell mentioned a few times. 267 00:13:26,040 --> 00:13:28,120 Speaker 3: You know, it's one of the greatest functions I think 268 00:13:28,240 --> 00:13:31,320 Speaker 3: on the Bloberg terminal, and again there's a gazillion functions. 269 00:13:31,200 --> 00:13:33,240 Speaker 7: FED go FD GO. 270 00:13:33,360 --> 00:13:36,600 Speaker 3: It just gives you everything you need to know about 271 00:13:36,679 --> 00:13:38,959 Speaker 3: the FED and the data points in the next meetings 272 00:13:39,000 --> 00:13:40,480 Speaker 3: and the news and all that kind of stuff. So 273 00:13:40,480 --> 00:13:43,320 Speaker 3: wherever did the FED go had on the back there? 274 00:13:43,679 --> 00:13:46,160 Speaker 3: December tenth? It tells me is the next meeting? What 275 00:13:46,240 --> 00:13:48,200 Speaker 3: do you think the FED will do? 276 00:13:49,200 --> 00:13:53,400 Speaker 8: They'll wait till the last minute. The basebook even matters 277 00:13:53,440 --> 00:13:55,640 Speaker 8: like the one that we are getting ahead of the 278 00:13:55,720 --> 00:14:00,880 Speaker 8: Thanksgiving holiday. So how bad or how good it is? It? 279 00:14:00,920 --> 00:14:01,120 Speaker 7: Is it? 280 00:14:01,160 --> 00:14:03,920 Speaker 8: The state of the labor market? Where is it? And 281 00:14:04,040 --> 00:14:07,040 Speaker 8: what a company is saying about inflation and passing the 282 00:14:07,200 --> 00:14:08,600 Speaker 8: cost onto the consumer? 283 00:14:08,840 --> 00:14:10,720 Speaker 2: Elen, know where is it written in stone that the 284 00:14:10,720 --> 00:14:12,679 Speaker 2: Fed has to have a meeting on a particular day? 285 00:14:12,720 --> 00:14:14,440 Speaker 2: I mean, if the government saying, look, we're going to 286 00:14:14,480 --> 00:14:16,439 Speaker 2: put out the November job support, which is going to 287 00:14:16,480 --> 00:14:19,040 Speaker 2: have a little bit of the October job support December sixteenth, 288 00:14:19,360 --> 00:14:20,960 Speaker 2: why isn't the FED just going, okay, well we'll move 289 00:14:21,000 --> 00:14:22,680 Speaker 2: on meeting into like December seventeenth. 290 00:14:23,080 --> 00:14:25,720 Speaker 8: Well that's going to be a havoc in the markets. Okay, 291 00:14:25,760 --> 00:14:28,720 Speaker 8: So that's probably not a good idea to do. There 292 00:14:28,720 --> 00:14:31,520 Speaker 8: are a lot of different things. You know, the FED 293 00:14:31,560 --> 00:14:34,240 Speaker 8: is data dependent, but they don't have to be like 294 00:14:34,600 --> 00:14:38,360 Speaker 8: literally data dependent. There's still a lot of alternative data. 295 00:14:38,720 --> 00:14:41,600 Speaker 8: And you know, you guys have this al t go 296 00:14:42,720 --> 00:14:45,440 Speaker 8: thing on the terminal. So there's still a lot of 297 00:14:45,840 --> 00:14:49,920 Speaker 8: good data out there to for us to understand what's 298 00:14:49,960 --> 00:14:53,080 Speaker 8: going on. I think the thing is that the risks 299 00:14:53,120 --> 00:14:56,400 Speaker 8: to the labor market are still elevated. Is still true, 300 00:14:56,880 --> 00:15:01,000 Speaker 8: and that's why the FED cut to time in the fall. 301 00:15:01,120 --> 00:15:04,000 Speaker 3: So all right, so we've beaten this labor thing to death. 302 00:15:04,080 --> 00:15:07,400 Speaker 3: Just give us your quick call on the inflation environment 303 00:15:07,440 --> 00:15:07,880 Speaker 3: out there. 304 00:15:08,280 --> 00:15:11,240 Speaker 8: Oh so hard to tell without the data. We do 305 00:15:11,680 --> 00:15:15,640 Speaker 8: have good data on the labor mars, it's very difficult 306 00:15:15,720 --> 00:15:18,160 Speaker 8: to kind of try to gauge what's happening on the 307 00:15:18,200 --> 00:15:21,960 Speaker 8: inflation side. Stephen Myron, the Governor, was on Bloomberg TV 308 00:15:22,200 --> 00:15:26,320 Speaker 8: just just a few minutes ago, yes, and he was 309 00:15:26,360 --> 00:15:30,720 Speaker 8: saying that, you know, this housing inflation is probably a 310 00:15:30,760 --> 00:15:34,920 Speaker 8: reflection of what happened in the past. So we cannot 311 00:15:34,960 --> 00:15:39,200 Speaker 8: really look at three percent inflation and say, okay, this 312 00:15:39,320 --> 00:15:42,520 Speaker 8: is the true state of affairs. Housing inflation is subsiding, 313 00:15:42,880 --> 00:15:46,040 Speaker 8: the data is not reflecting that. The labor market inflation 314 00:15:46,160 --> 00:15:51,080 Speaker 8: is probably also subsiding. So this sector inflation is moving 315 00:15:51,120 --> 00:15:53,760 Speaker 8: in the right direction. We probably have a little bit 316 00:15:53,800 --> 00:15:58,480 Speaker 8: of a tariff inflation in the goods prices, but that 317 00:15:58,600 --> 00:16:01,720 Speaker 8: will too subside. It will just take some time. It 318 00:16:01,760 --> 00:16:05,040 Speaker 8: will be a temporary increase in inflation. But I think 319 00:16:05,440 --> 00:16:08,200 Speaker 8: in a big scheme of things, inflation is probably going 320 00:16:08,280 --> 00:16:09,360 Speaker 8: to subside next year. 321 00:16:09,520 --> 00:16:11,200 Speaker 4: All Rylena, thank you so much for joining us. 322 00:16:11,400 --> 00:16:14,840 Speaker 3: Alan issues Tiava, senior US economists at the Conference Board, 323 00:16:14,960 --> 00:16:18,160 Speaker 3: one of our favorite former economists at Bloomberg. 324 00:16:18,160 --> 00:16:19,680 Speaker 4: We appreciate getting some of your time. 325 00:16:19,560 --> 00:16:20,120 Speaker 2: To stay with us. 326 00:16:20,240 --> 00:16:22,600 Speaker 4: More from Bloomberg Surveillance coming up after this. 327 00:16:32,120 --> 00:16:35,680 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 328 00:16:35,760 --> 00:16:38,880 Speaker 1: weekday afternoons from seven to ten am Eastern. Listen on 329 00:16:39,000 --> 00:16:42,640 Speaker 1: Applecarplay and Android Otto with the Bloomberg Business app, or 330 00:16:42,800 --> 00:16:44,280 Speaker 1: watch us live on YouTube. 331 00:16:44,520 --> 00:16:46,320 Speaker 3: Let's go to a professional here when we think about 332 00:16:46,320 --> 00:16:48,400 Speaker 3: these markets. Jeff Crumpleman, and he's CIO and head of 333 00:16:48,440 --> 00:16:53,360 Speaker 3: Equities at Mariner Wealth Advisors, located in Cincinnati, Ohio, one 334 00:16:53,360 --> 00:16:55,160 Speaker 3: of my favorite towns. I used to go there all 335 00:16:55,200 --> 00:16:57,440 Speaker 3: the time to see a couple of institutional investor accounts. 336 00:16:57,680 --> 00:16:58,520 Speaker 7: We try to go see a. 337 00:16:58,520 --> 00:17:02,360 Speaker 3: Ballgame when I was Thereolute for you, Jeff, thanks for 338 00:17:02,480 --> 00:17:05,240 Speaker 3: joining us here. What's your call here? We've had a 339 00:17:05,680 --> 00:17:08,120 Speaker 3: you look back on twenty twenty five. Equities it done well, Yes, 340 00:17:08,200 --> 00:17:11,520 Speaker 3: it's been volatile. Fixed income has done well. We've got 341 00:17:11,560 --> 00:17:14,680 Speaker 3: some solid high single digit returns there. What are you 342 00:17:15,000 --> 00:17:16,920 Speaker 3: thinking about as you think about twenty twenty six. 343 00:17:17,720 --> 00:17:21,800 Speaker 9: So our thesis going into this year was clear air turbulence, 344 00:17:21,920 --> 00:17:24,800 Speaker 9: which I think pretty well describes what's going on. I 345 00:17:24,840 --> 00:17:27,679 Speaker 9: think that's still apropos as we go into the end 346 00:17:27,720 --> 00:17:29,960 Speaker 9: of the year, and you know, as people try and 347 00:17:30,320 --> 00:17:33,639 Speaker 9: prophesize and they're trying to find reasons for what happened 348 00:17:33,720 --> 00:17:37,800 Speaker 9: yesterday with some mixed news. You know, the thing about 349 00:17:37,840 --> 00:17:41,080 Speaker 9: clear air turbulence is there's no radar systems to detect it. 350 00:17:41,560 --> 00:17:42,880 Speaker 7: It just happens in clear sky. 351 00:17:43,080 --> 00:17:46,639 Speaker 9: So in terms of what we do think will play out, 352 00:17:46,760 --> 00:17:49,040 Speaker 9: we had a target of sixty six hundred on the 353 00:17:49,200 --> 00:17:53,119 Speaker 9: S and P four calendar year twenty twenty five. I 354 00:17:53,200 --> 00:17:54,960 Speaker 9: think we're going to be, you know, pretty close, and 355 00:17:55,040 --> 00:17:58,320 Speaker 9: that's that's a pretty nice outcome, albeit with a bit 356 00:17:58,400 --> 00:18:01,560 Speaker 9: of air flocking in there. Our kind of theme and 357 00:18:01,680 --> 00:18:05,080 Speaker 9: thesis as we think about twenty twenty six is the 358 00:18:05,240 --> 00:18:09,280 Speaker 9: year of risk awareness and diversification two point zero. So 359 00:18:09,400 --> 00:18:12,080 Speaker 9: I think you want to avoid concentrations. I think you 360 00:18:12,200 --> 00:18:15,320 Speaker 9: do want to be a little more balanced than we've 361 00:18:15,359 --> 00:18:19,440 Speaker 9: seen this year, and I think that we're going to 362 00:18:19,520 --> 00:18:23,040 Speaker 9: have healthy result, but the market's kind of tired as 363 00:18:23,119 --> 00:18:24,080 Speaker 9: we go into the year. 364 00:18:24,880 --> 00:18:26,160 Speaker 7: We would be just fine. 365 00:18:26,200 --> 00:18:30,080 Speaker 9: As people talk about bubbles and troubles, which we don't 366 00:18:30,600 --> 00:18:34,600 Speaker 9: agree with, but to see the market kind of rest 367 00:18:34,680 --> 00:18:37,440 Speaker 9: and digest the strong earnings for a quarter or so 368 00:18:38,359 --> 00:18:40,639 Speaker 9: I think would be very realistic. 369 00:18:41,480 --> 00:18:44,760 Speaker 2: Probably a healthy thing, I think, yes, So let's talk 370 00:18:44,840 --> 00:18:48,000 Speaker 2: valuation because a lot of what the volatility we've been 371 00:18:48,040 --> 00:18:51,840 Speaker 2: seeing has been centered around are these stretched valuations we're seeing, 372 00:18:51,880 --> 00:18:56,240 Speaker 2: particularly an AI But you say valuation is a poor 373 00:18:56,400 --> 00:18:59,240 Speaker 2: timing tool for investors, Sure, what do you mean by that? 374 00:18:59,280 --> 00:19:00,920 Speaker 2: And then what would be a good timing tool? 375 00:19:01,280 --> 00:19:04,160 Speaker 9: Well, you know people, it's funny they're all wiggy about valuation. 376 00:19:04,359 --> 00:19:04,479 Speaker 5: Now. 377 00:19:04,840 --> 00:19:07,680 Speaker 9: We've been at twenty two times earnings for a long time. 378 00:19:08,040 --> 00:19:10,160 Speaker 9: We were twenty two times going into this year. We're 379 00:19:10,400 --> 00:19:13,840 Speaker 9: a little less than that right now. So the advance 380 00:19:13,880 --> 00:19:17,600 Speaker 9: has been earnings growth, not valuation. I think the AI 381 00:19:17,800 --> 00:19:20,960 Speaker 9: trade has made people more old this is like two 382 00:19:21,040 --> 00:19:24,240 Speaker 9: thousand and just more sensitive to valuation now. 383 00:19:24,400 --> 00:19:28,920 Speaker 7: It's always been there, and it's a terrible timing tool. 384 00:19:29,480 --> 00:19:32,359 Speaker 9: So whether you talk about Alan Greenspan irrational exuberance in 385 00:19:32,440 --> 00:19:35,440 Speaker 9: ninety six before it doubled in one, or you talk 386 00:19:35,480 --> 00:19:38,400 Speaker 9: about questions I've been getting going all the way back 387 00:19:38,480 --> 00:19:42,200 Speaker 9: to twenty seventeen eighteen when people said, hey, Jeff, twenty 388 00:19:42,280 --> 00:19:43,320 Speaker 9: two times is rich. 389 00:19:43,680 --> 00:19:44,840 Speaker 7: How can we go up from here? 390 00:19:44,920 --> 00:19:46,680 Speaker 9: And you have double digit targets on the S and 391 00:19:46,720 --> 00:19:49,919 Speaker 9: P five hundred, So it's just a very terrible it's 392 00:19:50,040 --> 00:19:56,200 Speaker 9: fundamentals and valuation can remain elevated if fundamentals are strong. 393 00:19:56,240 --> 00:19:58,760 Speaker 9: And I'll add this, this is not your grandfather's index 394 00:19:59,320 --> 00:20:02,159 Speaker 9: when people compare this to the fifty year average of 395 00:20:02,480 --> 00:20:07,040 Speaker 9: fifteen sixteen times earnings. You know, back forty years ago industrials, 396 00:20:07,080 --> 00:20:09,320 Speaker 9: financials and energy were fifty percent of the S and 397 00:20:09,400 --> 00:20:12,639 Speaker 9: P five hundred market cap. Today they're twenty percent. Return 398 00:20:12,680 --> 00:20:16,280 Speaker 9: on equity was sixteen today it's twenty two. Margins were 399 00:20:16,400 --> 00:20:19,800 Speaker 9: nine percent profit margins that profit margins today they're fourteen. 400 00:20:20,560 --> 00:20:23,640 Speaker 9: It is not your grandfather's in dex So, yeah, that's 401 00:20:23,640 --> 00:20:24,040 Speaker 9: a good point. 402 00:20:24,080 --> 00:20:27,040 Speaker 3: Yeah, thirty seconds left. Here is there sector out there 403 00:20:27,080 --> 00:20:27,960 Speaker 3: that screens well for you? 404 00:20:28,080 --> 00:20:28,600 Speaker 4: At this point? 405 00:20:28,960 --> 00:20:31,159 Speaker 9: Yeah, you know, just to kind of shift gears from 406 00:20:31,200 --> 00:20:34,199 Speaker 9: all this tech stuff. First of all, I appreciate your 407 00:20:34,240 --> 00:20:36,760 Speaker 9: comment about Walmart earlier on the show. 408 00:20:36,960 --> 00:20:38,800 Speaker 2: Well, thank you for listening, Jeff hey Man. 409 00:20:39,040 --> 00:20:40,280 Speaker 4: You know what you learn. 410 00:20:40,760 --> 00:20:45,600 Speaker 9: But healthcare would be a selective consumer. And healthcare and 411 00:20:45,680 --> 00:20:48,040 Speaker 9: I think energy could be a surprise as usually that is. 412 00:20:48,040 --> 00:20:50,480 Speaker 4: A surprise because we got oil at fifty eight dollars 413 00:20:50,560 --> 00:20:51,080 Speaker 4: a barrel here. 414 00:20:51,280 --> 00:20:54,440 Speaker 9: Yep. But if you look at the charts, we're starting 415 00:20:54,440 --> 00:20:56,639 Speaker 9: to see some interest as people diversified from just a 416 00:20:56,720 --> 00:20:57,160 Speaker 9: tech trade. 417 00:20:57,280 --> 00:20:57,440 Speaker 5: Yep. 418 00:20:57,640 --> 00:20:59,600 Speaker 2: I'm just going to interject them in a budget with Walmart, 419 00:21:00,160 --> 00:21:02,520 Speaker 2: is they're going to move their stock listing from the 420 00:21:02,520 --> 00:21:04,360 Speaker 2: New York Stock Exchange to the Nasdaq? 421 00:21:04,480 --> 00:21:04,600 Speaker 3: Is that? 422 00:21:04,920 --> 00:21:06,640 Speaker 2: Am I missing something? Is that a big deal? Because 423 00:21:06,680 --> 00:21:08,840 Speaker 2: talk about this is not your grandfather's market anymore. I 424 00:21:08,920 --> 00:21:11,280 Speaker 2: don't know if I could remember a time when I think, oh, yeah, 425 00:21:11,359 --> 00:21:13,320 Speaker 2: sure that that move makes sense. Does that make sense 426 00:21:13,359 --> 00:21:13,480 Speaker 2: to you? 427 00:21:13,760 --> 00:21:16,480 Speaker 9: Well it does because e commerce was up twenty seven percent. 428 00:21:16,600 --> 00:21:19,520 Speaker 9: It's so much more of a technology company. So you know, 429 00:21:19,680 --> 00:21:23,520 Speaker 9: think about it. When you search for something automatically, you 430 00:21:23,600 --> 00:21:25,000 Speaker 9: go online to Walmart, you know. 431 00:21:25,160 --> 00:21:26,480 Speaker 4: So yeah, for the NYC. 432 00:21:26,720 --> 00:21:28,520 Speaker 6: I would not have allowed that to happen. 433 00:21:28,560 --> 00:21:30,280 Speaker 4: I would have done anything to keep that name there. 434 00:21:30,320 --> 00:21:34,080 Speaker 3: Jeffrumplement's CIO and head of Equities at Mariner Well Advisors 435 00:21:34,119 --> 00:21:36,040 Speaker 3: based there in Cincinnati, Ohio. 436 00:21:36,240 --> 00:21:39,280 Speaker 4: Stay with us more from Bloomberg Surveillance coming up after this. 437 00:21:48,760 --> 00:21:52,320 Speaker 1: You're listening to the Bloomberg Surveillance Podcast. Catch us live 438 00:21:52,440 --> 00:21:55,520 Speaker 1: weekday afternoons from seven to ten am Eastern. Listen on 439 00:21:55,680 --> 00:21:59,280 Speaker 1: Applecarplay and Android Otto with the Bloomberg Business app, or 440 00:21:59,440 --> 00:22:00,840 Speaker 1: watch us live on YouTube. 441 00:22:00,880 --> 00:22:03,280 Speaker 2: Talking about the FED. Can't stop talking about the FED 442 00:22:03,359 --> 00:22:06,080 Speaker 2: as we lead up to their two day meeting December 443 00:22:06,160 --> 00:22:09,200 Speaker 2: ninth and tenth, And in an environment where we're thinking 444 00:22:09,480 --> 00:22:13,600 Speaker 2: perhaps we could be in for some interest rate cuts, 445 00:22:13,680 --> 00:22:16,440 Speaker 2: lower rates for longer. What does that all mean to 446 00:22:16,760 --> 00:22:19,800 Speaker 2: commercial real estate? Let's bring in an expert to sift 447 00:22:19,880 --> 00:22:22,800 Speaker 2: through it all, Rich Hill in our Interactive Broker studio 448 00:22:22,840 --> 00:22:25,199 Speaker 2: with this global head of real Estate Strategy and Research, 449 00:22:25,320 --> 00:22:28,080 Speaker 2: Principal Asset Management. Rich, good to see you here in 450 00:22:28,119 --> 00:22:28,840 Speaker 2: the studio. 451 00:22:28,720 --> 00:22:29,840 Speaker 7: Good morning, Thanks for having me in. 452 00:22:30,240 --> 00:22:32,240 Speaker 2: So just paint the picture for us as we head 453 00:22:32,320 --> 00:22:34,880 Speaker 2: into this FED meeting where there's a big question mark 454 00:22:34,880 --> 00:22:36,480 Speaker 2: as to whether or not we get that third interest 455 00:22:36,560 --> 00:22:39,040 Speaker 2: rate cut of the year. What is the commercial real 456 00:22:39,160 --> 00:22:41,960 Speaker 2: estate landscape looking like heading into that meeting? 457 00:22:42,200 --> 00:22:44,479 Speaker 7: Yeah? Sure, Well, first of all, I think it's important 458 00:22:44,480 --> 00:22:45,040 Speaker 7: to level set. 459 00:22:45,320 --> 00:22:47,560 Speaker 10: Commercial real estate is one of the few asset classes 460 00:22:47,600 --> 00:22:51,600 Speaker 10: in the world where valuations have significantly reset. Private real 461 00:22:51,720 --> 00:22:54,040 Speaker 10: estate valuations are down twenty to twenty five percent in 462 00:22:54,080 --> 00:22:55,119 Speaker 10: the US and Europe. 463 00:22:55,240 --> 00:22:57,399 Speaker 7: Public valuations are down around the same amount. 464 00:22:58,000 --> 00:23:00,719 Speaker 10: We think this is a cycle going through an normal reset. 465 00:23:01,440 --> 00:23:03,800 Speaker 10: That's hard to understand because there's a lot going on 466 00:23:04,000 --> 00:23:05,600 Speaker 10: and a lot of noise. But let me explain what 467 00:23:05,720 --> 00:23:09,080 Speaker 10: I think that means. List it reads trough first, because 468 00:23:09,080 --> 00:23:12,440 Speaker 10: they're leading indicators in both downturns and recoveries. List it 469 00:23:12,480 --> 00:23:14,840 Speaker 10: reads trot in not October of twenty twenty three, and 470 00:23:14,920 --> 00:23:17,399 Speaker 10: they're up more than thirty five percent from those levels. 471 00:23:18,080 --> 00:23:21,639 Speaker 10: Private valuations trough twelve to eighteen months later. We've now 472 00:23:21,760 --> 00:23:24,640 Speaker 10: seen five consecutive quarters in the United States where total 473 00:23:24,680 --> 00:23:25,520 Speaker 10: returns are higher. 474 00:23:25,680 --> 00:23:27,000 Speaker 7: It's six quarters in Europe. 475 00:23:27,560 --> 00:23:30,000 Speaker 10: There's actually something that happens though on a lagging indicator 476 00:23:30,000 --> 00:23:32,600 Speaker 10: that I think confuses a lot of people distress in 477 00:23:32,640 --> 00:23:35,760 Speaker 10: the commercial real estate markets. Doesn't peak out until after 478 00:23:35,840 --> 00:23:39,000 Speaker 10: private valuations trough. Why is that happening, Well, it's part 479 00:23:39,040 --> 00:23:42,320 Speaker 10: of the grieving process. Banks don't like to sell distress 480 00:23:42,400 --> 00:23:45,640 Speaker 10: loans and to distressed markets. They like to sell distress 481 00:23:45,720 --> 00:23:48,200 Speaker 10: loans and too stabilized markets. So that's where we think 482 00:23:48,240 --> 00:23:51,240 Speaker 10: we are. You bring up a good question, though, what 483 00:23:51,320 --> 00:23:54,040 Speaker 10: about interest rate cuts. You hear a lot of commercial 484 00:23:54,080 --> 00:23:57,520 Speaker 10: real estate professionals saying we want lower interest rates. That's 485 00:23:57,560 --> 00:24:00,720 Speaker 10: not our review. We want stable interest rates. And the 486 00:24:00,760 --> 00:24:03,760 Speaker 10: reason I say we don't want lower interest rates, and 487 00:24:03,800 --> 00:24:06,159 Speaker 10: I'm really talking about long term interestrates because commercial real 488 00:24:06,280 --> 00:24:08,400 Speaker 10: estate bar ersk financed themselves with long term interest rates. 489 00:24:09,320 --> 00:24:11,720 Speaker 10: If you have meaningfully lower interest rates, be careful what 490 00:24:11,800 --> 00:24:14,560 Speaker 10: you wish for. That actually might mean a weaker economy. 491 00:24:14,800 --> 00:24:18,160 Speaker 10: That might mean tighter financial conditions, wider credit spreads. That's 492 00:24:18,200 --> 00:24:20,600 Speaker 10: not good for any risk asset, including commercial real estate. 493 00:24:20,920 --> 00:24:23,720 Speaker 10: What we're really rooting for here is stability. That's what 494 00:24:23,840 --> 00:24:25,359 Speaker 10: we think the market needs to see. That's what we 495 00:24:25,400 --> 00:24:27,120 Speaker 10: think commercial real estate investors want to see. 496 00:24:27,720 --> 00:24:29,919 Speaker 4: Explained something to you. But I've learned about commercial real 497 00:24:30,040 --> 00:24:30,560 Speaker 4: estate business. 498 00:24:30,800 --> 00:24:34,600 Speaker 3: Yeah, it's controlled by these Morgan Stanley guys They're everywhere. 499 00:24:34,720 --> 00:24:38,240 Speaker 3: The Morgan Stanley commercial real estate business is based their 500 00:24:38,280 --> 00:24:38,960 Speaker 3: best on the street. 501 00:24:38,960 --> 00:24:39,600 Speaker 7: But it's a good ball. 502 00:24:39,720 --> 00:24:42,000 Speaker 3: They and they leave Morgan Stanley and they put their 503 00:24:42,040 --> 00:24:44,840 Speaker 3: tentacles all around the commercial It's a total scam. They're 504 00:24:44,960 --> 00:24:48,720 Speaker 3: everywhere and nobody's better at it than these Morgan Stanley folks. 505 00:24:49,040 --> 00:24:54,280 Speaker 3: Rich in the US. Here have we troughed in let's say, office, 506 00:24:54,359 --> 00:24:56,159 Speaker 3: Have we trofed on office here? Because I'm here in 507 00:24:56,280 --> 00:24:58,760 Speaker 3: some positive murmers even about like New York and San Francisco. 508 00:24:58,920 --> 00:25:02,439 Speaker 10: Yeah, sure, So it's really hard to and I'm your 509 00:25:02,480 --> 00:25:05,920 Speaker 10: super cliche here office with a really broad brush. And 510 00:25:06,000 --> 00:25:08,080 Speaker 10: the reason I say that is JLLL has a great 511 00:25:08,160 --> 00:25:11,720 Speaker 10: statistic that ninety percent of vacancy in the United States 512 00:25:12,240 --> 00:25:14,720 Speaker 10: is concertated in thirty to thirty five percent of buildings. 513 00:25:15,160 --> 00:25:18,680 Speaker 10: New York City really strong, it seems really strong rebound. 514 00:25:19,080 --> 00:25:22,000 Speaker 10: San Francisco beginning to see some real signs of light. 515 00:25:22,760 --> 00:25:25,360 Speaker 10: And if you're a long term investor, yeah, you're you're 516 00:25:25,359 --> 00:25:28,240 Speaker 10: pretty bullish on San Francisco because of how beaten down 517 00:25:28,320 --> 00:25:30,600 Speaker 10: it is. I think the market is still trying to 518 00:25:30,640 --> 00:25:33,040 Speaker 10: figure out what the high quality buildings are from the 519 00:25:33,080 --> 00:25:35,880 Speaker 10: lower quality buildings. We actually don't have an office problem 520 00:25:35,920 --> 00:25:38,119 Speaker 10: in the United States. We have a Class B and 521 00:25:38,200 --> 00:25:39,160 Speaker 10: C office. 522 00:25:38,920 --> 00:25:41,000 Speaker 2: Problem because those older buildings you mean. 523 00:25:40,960 --> 00:25:43,240 Speaker 10: One hundred percent And if you were renting a Class 524 00:25:43,320 --> 00:25:45,359 Speaker 10: B and C office property prior to COVID, you probably 525 00:25:45,400 --> 00:25:49,480 Speaker 10: didn't value the office experience. Here's my ultimate point with office. 526 00:25:49,640 --> 00:25:51,840 Speaker 10: I don't know when at bottoms. I'm not really good 527 00:25:51,880 --> 00:25:54,440 Speaker 10: at picking bottoms. Other people do better job of that 528 00:25:54,560 --> 00:25:56,760 Speaker 10: than me. But I do think over the medium to 529 00:25:56,840 --> 00:25:58,359 Speaker 10: long term, we're going to look back and we're going 530 00:25:58,440 --> 00:26:00,320 Speaker 10: to say the office sector is one of the sectors 531 00:26:00,359 --> 00:26:03,440 Speaker 10: that performed really well over the next ten years. Usually 532 00:26:03,520 --> 00:26:05,960 Speaker 10: last cycles losers aren't the next cycles loss. 533 00:26:06,640 --> 00:26:09,240 Speaker 2: Okay, So if Class B and C is sort of 534 00:26:09,440 --> 00:26:12,520 Speaker 2: not the place to be in terms of office, is 535 00:26:12,600 --> 00:26:14,800 Speaker 2: it the place to be when you're thinking about converting 536 00:26:14,920 --> 00:26:18,040 Speaker 2: office to residential, which we've seen a lot of in 537 00:26:18,200 --> 00:26:19,200 Speaker 2: some of our major cities. 538 00:26:19,280 --> 00:26:24,240 Speaker 10: Yeah, highly attractive investment thesis really hard to do in practice. 539 00:26:24,760 --> 00:26:27,480 Speaker 10: There's probably one hundred and fifty to two hundred buildings 540 00:26:27,520 --> 00:26:29,840 Speaker 10: across the United States where you can actually do it. 541 00:26:30,760 --> 00:26:33,600 Speaker 10: Why is it working so well in New York City? Well, 542 00:26:33,720 --> 00:26:35,760 Speaker 10: it comes back down to how you think about affordability 543 00:26:35,800 --> 00:26:38,600 Speaker 10: in the United States. Morally, big believers that you don't 544 00:26:38,640 --> 00:26:41,200 Speaker 10: need to regulate what you have, you need to build 545 00:26:41,240 --> 00:26:43,560 Speaker 10: more of what you don't have. We don't have enough 546 00:26:43,600 --> 00:26:46,200 Speaker 10: housing in New York City, and frankly, we don't have 547 00:26:46,400 --> 00:26:49,280 Speaker 10: enough housing across the United States for various different reasons. 548 00:26:49,600 --> 00:26:53,399 Speaker 10: So I'm a really big proponent of converting office into multifamily. 549 00:26:53,880 --> 00:26:55,720 Speaker 7: It's just not for the faint of heart, and it's 550 00:26:55,840 --> 00:26:57,280 Speaker 7: a lot harder to do and. 551 00:26:57,600 --> 00:27:00,080 Speaker 2: Probably pretty expensive to retrofit. 552 00:26:59,720 --> 00:27:02,320 Speaker 7: Is it not, Yeah, it is. In many cases. 553 00:27:02,560 --> 00:27:05,560 Speaker 10: It's actually easier to raise a building right to bulldoze 554 00:27:05,600 --> 00:27:07,399 Speaker 10: it and build from the ground up, because it's not 555 00:27:07,520 --> 00:27:09,119 Speaker 10: that much different. But if you could be view with 556 00:27:09,119 --> 00:27:11,800 Speaker 10: the right floor plate in office and converted to multifamily, 557 00:27:12,119 --> 00:27:14,400 Speaker 10: really lucrative investment thesis, that's true. 558 00:27:14,440 --> 00:27:16,600 Speaker 3: I don't know thought about it because when we raised 559 00:27:16,640 --> 00:27:19,280 Speaker 3: and built a home, I was shocked at how cheap 560 00:27:19,320 --> 00:27:21,840 Speaker 3: it was to tear down a home. The guy could 561 00:27:21,840 --> 00:27:23,720 Speaker 3: have quoted any ten x what do he quoted me? 562 00:27:23,760 --> 00:27:25,280 Speaker 3: And I would have paid it because I had no idea. 563 00:27:25,400 --> 00:27:27,520 Speaker 2: Because it's really about the land it's sitting on, right 564 00:27:27,560 --> 00:27:28,440 Speaker 2: in location location. 565 00:27:28,560 --> 00:27:31,119 Speaker 3: Okay, dude brought in like a back hole and just 566 00:27:31,280 --> 00:27:33,000 Speaker 3: knocked it down in like fifteen minutes. 567 00:27:33,119 --> 00:27:33,439 Speaker 2: Crazy. 568 00:27:33,600 --> 00:27:35,760 Speaker 4: I mean, it was unbelievable. I didn't understand about that, 569 00:27:35,920 --> 00:27:36,239 Speaker 4: all right. 570 00:27:36,280 --> 00:27:39,520 Speaker 3: So where rich is the best value out there in 571 00:27:39,840 --> 00:27:42,160 Speaker 3: the broader commercial real estate these days? 572 00:27:42,160 --> 00:27:43,320 Speaker 4: Where are you guys seeing it? 573 00:27:43,440 --> 00:27:45,240 Speaker 7: Yeah, there's three things that I want to talk about today. 574 00:27:45,880 --> 00:27:48,399 Speaker 10: The first point, we can't be talking about commercial real 575 00:27:48,480 --> 00:27:50,160 Speaker 10: estate and you can't be talking about markets if you're 576 00:27:50,160 --> 00:27:50,960 Speaker 10: not talking about. 577 00:27:50,720 --> 00:27:51,720 Speaker 7: AI and data centers. 578 00:27:51,880 --> 00:27:54,840 Speaker 10: Okay, so we think data centers are really interesting, but 579 00:27:54,920 --> 00:27:57,800 Speaker 10: with a nuance. First of all, I think it's important 580 00:27:57,840 --> 00:28:01,560 Speaker 10: to unpack AI demand from data set demand. Data center 581 00:28:01,640 --> 00:28:03,760 Speaker 10: demand is constrained by land and power. 582 00:28:03,840 --> 00:28:04,159 Speaker 7: Right now. 583 00:28:04,680 --> 00:28:06,680 Speaker 10: You actually have way more demand than you have the 584 00:28:06,760 --> 00:28:10,440 Speaker 10: ability to create data centers right now. That's the first point. 585 00:28:10,600 --> 00:28:12,840 Speaker 10: The second point is when you're investing in a data center, 586 00:28:12,920 --> 00:28:16,240 Speaker 10: you're actually investing in infrastructure, the land, the ability, power 587 00:28:16,280 --> 00:28:18,280 Speaker 10: of the land, the fib that goes to the land. 588 00:28:18,760 --> 00:28:20,920 Speaker 10: The third point, which I think is a nuance that 589 00:28:21,080 --> 00:28:23,520 Speaker 10: the markets just now beginning to understand, is not all 590 00:28:23,600 --> 00:28:26,040 Speaker 10: data centers are created the same. When we think about 591 00:28:26,119 --> 00:28:28,960 Speaker 10: data centers. We think about cloud data centers. That's when 592 00:28:29,280 --> 00:28:32,920 Speaker 10: you and I are on Bloomberg right now, uses cloud. 593 00:28:33,240 --> 00:28:35,639 Speaker 10: There's AI inference, which is when you and I go 594 00:28:35,760 --> 00:28:39,160 Speaker 10: on chat g GPT and prompt chat GPT, and then 595 00:28:39,160 --> 00:28:42,560 Speaker 10: there's generative AI. General of AI is training models for 596 00:28:42,680 --> 00:28:43,600 Speaker 10: future AI demand. 597 00:28:44,040 --> 00:28:44,800 Speaker 7: We're really quite. 598 00:28:44,680 --> 00:28:47,800 Speaker 10: Bullish on cloud and AI inference. We're much more cautious 599 00:28:47,840 --> 00:28:51,320 Speaker 10: on generative AI. But we think focusing on cloud and 600 00:28:51,400 --> 00:28:55,080 Speaker 10: AI inference, which is actual existing demand, that's a really 601 00:28:55,160 --> 00:28:57,920 Speaker 10: interesting asset class. We're a developer in the United States 602 00:28:58,200 --> 00:29:00,720 Speaker 10: and we think we can develop these that unless IRRs 603 00:29:00,800 --> 00:29:02,800 Speaker 10: and call it the twenty percent range, which ends up 604 00:29:02,800 --> 00:29:03,680 Speaker 10: being really attractive. 605 00:29:03,920 --> 00:29:06,280 Speaker 7: So A'll pause there. You might have questions about data centers, 606 00:29:06,320 --> 00:29:07,560 Speaker 7: and then we can do to move on. 607 00:29:07,680 --> 00:29:09,680 Speaker 2: I just I don't think we've hit a topic where 608 00:29:09,720 --> 00:29:14,280 Speaker 2: we haven't talked about AI. It is infiltrating just about everywhere. 609 00:29:15,480 --> 00:29:19,080 Speaker 2: Real quick rich, where within commercial real estate can can 610 00:29:19,440 --> 00:29:22,040 Speaker 2: can they benefit most from AI? 611 00:29:22,400 --> 00:29:26,560 Speaker 10: Yeah, data centers number one, but it's actually helping the 612 00:29:26,840 --> 00:29:30,040 Speaker 10: entire world in a lot of different ways. I'll come 613 00:29:30,120 --> 00:29:32,280 Speaker 10: back to what you were talking about office. There's a 614 00:29:32,320 --> 00:29:34,880 Speaker 10: lot of questions about how AI is going to impact office. 615 00:29:35,200 --> 00:29:37,600 Speaker 10: The reality is, I think we're still early dings about 616 00:29:37,640 --> 00:29:40,360 Speaker 10: how it's going to impact office, what workers are going 617 00:29:40,400 --> 00:29:42,280 Speaker 10: to be upskilled, what workers are going to be downskilled, 618 00:29:42,320 --> 00:29:43,160 Speaker 10: what workers are going. 619 00:29:43,120 --> 00:29:43,760 Speaker 7: To be outskilled. 620 00:29:43,840 --> 00:29:46,960 Speaker 10: But there are going to be markets that benefit significantly 621 00:29:47,320 --> 00:29:51,200 Speaker 10: from AI. It is changing, It is changing the world, 622 00:29:51,320 --> 00:29:54,120 Speaker 10: and commercial real estate is a big beneficiary of that. 623 00:29:54,280 --> 00:29:55,440 Speaker 7: So we think there's going to be a lot of 624 00:29:55,800 --> 00:29:58,120 Speaker 7: efficiencies that are driven by AI, which thanks so much. 625 00:29:58,120 --> 00:29:58,640 Speaker 4: Appreciate that. 626 00:29:58,760 --> 00:30:01,320 Speaker 3: Richell, Global Head of will Say Strategy and Research at 627 00:30:01,400 --> 00:30:03,720 Speaker 3: Principal Asset Management. 628 00:30:04,520 --> 00:30:09,320 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 629 00:30:09,480 --> 00:30:13,720 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 630 00:30:13,880 --> 00:30:17,320 Speaker 1: seven to ten am Eastern on Bloomberg dot com, the 631 00:30:17,440 --> 00:30:21,400 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 632 00:30:21,520 --> 00:30:24,840 Speaker 1: can also watch us live every weekday on YouTube and 633 00:30:25,080 --> 00:30:26,760 Speaker 1: always on the Bloomberg terminal