1 00:00:02,440 --> 00:00:09,479 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:09,520 --> 00:00:13,600 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:13,680 --> 00:00:17,200 Speaker 1: Eastern on applecar Play and Android Auto with the Bloomberg 4 00:00:17,239 --> 00:00:20,439 Speaker 1: Business app. You can also listen live on Amazon Alexa 5 00:00:20,520 --> 00:00:23,799 Speaker 1: from our flagship New York station, Just say Alexa play 6 00:00:23,920 --> 00:00:25,200 Speaker 1: Bloomberg eleven thirty. 7 00:00:26,600 --> 00:00:28,000 Speaker 2: Let's get back to the CPI number. 8 00:00:28,000 --> 00:00:30,880 Speaker 3: So the takeaway in general seems to be that disinflation 9 00:00:31,560 --> 00:00:34,320 Speaker 3: is not what we've seen, say, in the last three months, 10 00:00:34,360 --> 00:00:36,800 Speaker 3: that what we're used to, But that doesn't necessarily mean 11 00:00:36,840 --> 00:00:39,040 Speaker 3: that the economy is reaccelerating. So we kind of want 12 00:00:39,080 --> 00:00:42,440 Speaker 3: to understand the nuance here. Here's Lindsay Pigs, chief economist 13 00:00:42,520 --> 00:00:45,800 Speaker 3: over at Stifel. She joins us from Minneapolis. Lindsay, how 14 00:00:45,800 --> 00:00:48,519 Speaker 3: would you categorize the CPI data this morning and does 15 00:00:48,520 --> 00:00:51,840 Speaker 3: it change the trajectory at all for the FED? Well? 16 00:00:51,960 --> 00:00:54,960 Speaker 4: I would categorize it as a somewhat disappointing report for 17 00:00:55,040 --> 00:00:59,640 Speaker 4: the Fed's that's still struggling desperately to reinstate price stability. Now, 18 00:00:59,680 --> 00:01:02,960 Speaker 4: it's important not to look at one data point. That's 19 00:01:03,000 --> 00:01:05,480 Speaker 4: never enough to sway the FED in one direction. Or 20 00:01:05,520 --> 00:01:07,000 Speaker 4: the other. But we do have to put this in 21 00:01:07,040 --> 00:01:12,959 Speaker 4: the context of ongoing, an ongoing lack of even downward 22 00:01:13,080 --> 00:01:17,720 Speaker 4: momentum in prices at best. Inflation has been uneven moving 23 00:01:17,800 --> 00:01:20,840 Speaker 4: sideways for the past couple of months, and so this 24 00:01:21,040 --> 00:01:24,880 Speaker 4: really underscores the need for the FED to remain focused 25 00:01:24,959 --> 00:01:29,080 Speaker 4: on reaching that two percent target. Now, last month they 26 00:01:29,080 --> 00:01:32,880 Speaker 4: were buoyed by this mounting concern for the labor market. 27 00:01:33,200 --> 00:01:36,080 Speaker 4: But as we saw in the latest September labor market data, 28 00:01:36,600 --> 00:01:40,800 Speaker 4: the employment reports are still near full employment. The data 29 00:01:40,840 --> 00:01:44,000 Speaker 4: suggests the labor market is still very solid, and so 30 00:01:44,080 --> 00:01:46,520 Speaker 4: I do think that at this point the fed's focus 31 00:01:46,560 --> 00:01:50,640 Speaker 4: may be better directed towards that price stability component of 32 00:01:50,680 --> 00:01:51,440 Speaker 4: the dual mandate. 33 00:01:51,800 --> 00:01:54,160 Speaker 5: You know, Lindsa we were talking to Tom Keen and 34 00:01:54,160 --> 00:01:56,280 Speaker 5: I are earlier today with the professor Cam Harvey at 35 00:01:56,360 --> 00:01:59,120 Speaker 5: Duke University, and he's a big proponent of the fed's way, way, 36 00:01:59,160 --> 00:02:03,520 Speaker 5: way behind, because they're using really dated data, particularly housing data, 37 00:02:03,560 --> 00:02:04,640 Speaker 5: and if you take a look at some of the 38 00:02:04,720 --> 00:02:07,760 Speaker 5: real rents and stuff like that, inflation's already whipped and 39 00:02:07,760 --> 00:02:11,720 Speaker 5: this FED should be you know, cutting rates. Maybe how 40 00:02:11,720 --> 00:02:12,480 Speaker 5: do you feel about that? 41 00:02:14,400 --> 00:02:16,200 Speaker 4: Well, I think there's a number of different ways to 42 00:02:16,240 --> 00:02:18,720 Speaker 4: look at inflation, and sure, if we take out some 43 00:02:18,800 --> 00:02:21,919 Speaker 4: of the stickiest components, you can get a much better 44 00:02:22,000 --> 00:02:25,480 Speaker 4: read on inflation. But when we're trying to look at 45 00:02:25,560 --> 00:02:28,840 Speaker 4: the overall price index for consumers, what we're feeling in 46 00:02:28,919 --> 00:02:32,440 Speaker 4: terms of costs for goods and services out in the marketplace, 47 00:02:33,040 --> 00:02:36,120 Speaker 4: that underlying core measure, which excludes food and energy because 48 00:02:36,120 --> 00:02:40,079 Speaker 4: those are extremely volatile. From a policy standpoint, that suggests 49 00:02:40,080 --> 00:02:43,400 Speaker 4: that inflation is not quote whipped, and that the Fed's 50 00:02:43,520 --> 00:02:47,120 Speaker 4: job of reinstating price stability has not been complete and 51 00:02:47,240 --> 00:02:51,760 Speaker 4: remaining on a downward trajectory back to two percent is 52 00:02:51,919 --> 00:02:55,880 Speaker 4: not a foregone conclusion. So I would caution against that 53 00:02:55,960 --> 00:02:58,120 Speaker 4: line of thinking. That could leave us in a very 54 00:02:58,200 --> 00:03:01,600 Speaker 4: difficult position where the FED takes a more aggressive approach 55 00:03:01,680 --> 00:03:06,080 Speaker 4: to policy in anticipation of further improvement, only to find 56 00:03:06,120 --> 00:03:08,600 Speaker 4: out we're not there yet and the FED either has 57 00:03:08,639 --> 00:03:13,440 Speaker 4: to reverse course or simply has driven us into the 58 00:03:13,480 --> 00:03:16,320 Speaker 4: most unfavorable scenario of stagulation at that point. 59 00:03:16,400 --> 00:03:18,360 Speaker 3: But but, but, but that brings us to the other 60 00:03:18,440 --> 00:03:20,560 Speaker 3: data point, which is initial jobless claims. 61 00:03:20,600 --> 00:03:21,800 Speaker 2: I know that they can be volatile. 62 00:03:21,840 --> 00:03:24,160 Speaker 3: I know you also have a hurricane Helene as well 63 00:03:24,160 --> 00:03:26,799 Speaker 3: as the Boeing strike impact, Like there's those reads too, 64 00:03:27,480 --> 00:03:31,040 Speaker 3: So which path is a FED follow like inflation slowing 65 00:03:31,520 --> 00:03:34,680 Speaker 3: less than we thought or initial jobless claims rising more 66 00:03:34,720 --> 00:03:35,680 Speaker 3: than we thought. 67 00:03:36,240 --> 00:03:38,040 Speaker 4: Well, I think you have to put the jobless claims, 68 00:03:38,040 --> 00:03:40,360 Speaker 4: as you said, in the context of the events that 69 00:03:40,400 --> 00:03:43,160 Speaker 4: are occurring in the economy at this point. Between the 70 00:03:43,200 --> 00:03:46,760 Speaker 4: strikes and the hurricanes, we anticipated a lot of volatility, 71 00:03:47,080 --> 00:03:49,360 Speaker 4: and you can tell that this is an outsized increase 72 00:03:49,400 --> 00:03:52,280 Speaker 4: relative to the very calm trend that has been well 73 00:03:52,400 --> 00:03:55,080 Speaker 4: established for the past couple of years. You also have 74 00:03:55,120 --> 00:03:57,760 Speaker 4: to put this one weekly data point in the context 75 00:03:57,760 --> 00:04:01,400 Speaker 4: of again that September employment report, where we see wages, 76 00:04:01,440 --> 00:04:04,080 Speaker 4: we see job vacancies, we see the participation rate, we 77 00:04:04,120 --> 00:04:09,120 Speaker 4: see top line hiring, all suggesting tight ish conditions, lingering 78 00:04:09,160 --> 00:04:12,480 Speaker 4: tightish conditions for the labor market, which does not support 79 00:04:12,680 --> 00:04:16,440 Speaker 4: this pop in weekly jobless claims, again, which is primarily 80 00:04:17,040 --> 00:04:20,080 Speaker 4: a reflection of some of these one off incidents in 81 00:04:20,120 --> 00:04:22,200 Speaker 4: the economy. The FED knows that the FED is not 82 00:04:22,240 --> 00:04:25,960 Speaker 4: going to adjust policy based on a weekly data point, 83 00:04:26,360 --> 00:04:31,400 Speaker 4: but again it does underscore this bifurcation among FED officials. 84 00:04:31,400 --> 00:04:34,520 Speaker 4: As we saw in the Minutes yesterday, there are a 85 00:04:34,760 --> 00:04:37,239 Speaker 4: number of FED officials that are concerned about the labor 86 00:04:37,279 --> 00:04:40,080 Speaker 4: market and say that we should continue to cut in 87 00:04:40,160 --> 00:04:43,719 Speaker 4: anticipation of weakness to support the labor market and the 88 00:04:43,720 --> 00:04:47,160 Speaker 4: broader economy regardless of what it takes. On the other side, 89 00:04:47,240 --> 00:04:49,880 Speaker 4: you have Governor Bowman leaving the pack saying no, they're 90 00:04:50,000 --> 00:04:53,440 Speaker 4: still upside risk to inflation, and that's where we need 91 00:04:53,480 --> 00:04:56,800 Speaker 4: to keep our focus because without price stability, the economy 92 00:04:56,839 --> 00:04:57,920 Speaker 4: doesn't work for anybody. 93 00:04:58,520 --> 00:05:00,880 Speaker 5: How about the consumer, lindsay, some of the data points 94 00:05:00,920 --> 00:05:03,000 Speaker 5: you've seen over the last couple weeks, what's your read 95 00:05:03,040 --> 00:05:03,880 Speaker 5: on the yost consumer. 96 00:05:04,880 --> 00:05:09,080 Speaker 4: Well, I think that consumer is surprisingly resilient at this point. 97 00:05:09,080 --> 00:05:11,479 Speaker 4: The consumer is still out in the marketplace spending on 98 00:05:11,520 --> 00:05:15,440 Speaker 4: goods and services, but they're doing so at a noticeably 99 00:05:15,560 --> 00:05:18,839 Speaker 4: reduced pace. We've gone from double digits to eight to 100 00:05:18,960 --> 00:05:21,320 Speaker 4: six now down to an average pace of three. Again 101 00:05:21,440 --> 00:05:25,480 Speaker 4: still positive, but a very clear second derivative decline or 102 00:05:25,720 --> 00:05:30,400 Speaker 4: slower pace of positive expenditures as consumers are feeling the 103 00:05:30,440 --> 00:05:34,440 Speaker 4: weight of higher prices, higher borrowing costs, the resumption of 104 00:05:34,480 --> 00:05:38,320 Speaker 4: student debt payments, and so we see consumers increasingly turning 105 00:05:38,360 --> 00:05:42,160 Speaker 4: to these less organic measures for support in order to 106 00:05:42,240 --> 00:05:44,680 Speaker 4: keep spending in the marketplace. We see four oh one 107 00:05:44,760 --> 00:05:48,680 Speaker 4: k hardship withdrawals of double digits. We see consumers turning 108 00:05:48,680 --> 00:05:52,080 Speaker 4: to an intergenerational wealth transfer, and of course, surprise, surprise, 109 00:05:52,240 --> 00:05:53,960 Speaker 4: credit cards are up there on the list. 110 00:05:54,320 --> 00:05:56,920 Speaker 3: Yeah, absolutely, all right, lindsay, thanks a lot, really appreciate it. 111 00:05:56,920 --> 00:05:58,520 Speaker 3: I still feel like it's all a ork check test 112 00:05:58,560 --> 00:06:01,360 Speaker 3: at the end of the day, pigs. As she joins 113 00:06:01,400 --> 00:06:03,440 Speaker 3: us from Stefelt. 114 00:06:03,800 --> 00:06:07,679 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 115 00:06:07,760 --> 00:06:11,280 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 116 00:06:11,279 --> 00:06:14,080 Speaker 1: Auto with the Bloomberg Business app. You can also listen 117 00:06:14,200 --> 00:06:17,280 Speaker 1: live on Amazon Alexa from our flagship New York station 118 00:06:17,640 --> 00:06:21,400 Speaker 1: Just Say Alexa playing Bloomberg eleven thirty. 119 00:06:22,160 --> 00:06:24,280 Speaker 3: Let's say on the Hurricane Milton track. Of course, there 120 00:06:24,279 --> 00:06:27,920 Speaker 3: were reports of tornadoes also pumbling through the state as well. 121 00:06:28,040 --> 00:06:29,800 Speaker 2: Let's take an impact. Let's take a look on the 122 00:06:29,839 --> 00:06:31,120 Speaker 2: impact on the housing market. 123 00:06:31,240 --> 00:06:33,680 Speaker 3: Ken Johnson is Walker Family Chair of real Estate at 124 00:06:33,680 --> 00:06:37,640 Speaker 3: the University of Mississippi. Ken, it's great to get your 125 00:06:37,640 --> 00:06:40,799 Speaker 3: perspective on this. How do we know what the full 126 00:06:40,920 --> 00:06:43,800 Speaker 3: damage is to say, the housing market. How long does 127 00:06:43,839 --> 00:06:44,880 Speaker 3: that assessment take? 128 00:06:46,520 --> 00:06:50,920 Speaker 6: So we can make some upfront esturbations, but we probably 129 00:06:51,000 --> 00:06:53,440 Speaker 6: won't know the full results quite honestly, for a couple 130 00:06:53,440 --> 00:06:57,360 Speaker 6: of years. Using Ian as a test case, we're still 131 00:06:57,400 --> 00:07:01,640 Speaker 6: recovering South Florida. That is, is still covering southwest Florida. 132 00:07:02,080 --> 00:07:05,560 Speaker 6: From Ian, this appears to be less in scope, so 133 00:07:05,600 --> 00:07:09,320 Speaker 6: we're probably still looking at several months before we've completely 134 00:07:09,400 --> 00:07:11,400 Speaker 6: gotten rid of Hurricane Milton. 135 00:07:12,320 --> 00:07:14,680 Speaker 5: Talk to us about just I don't know you think 136 00:07:14,720 --> 00:07:17,680 Speaker 5: about owning real estate Florida. But that is not for 137 00:07:17,720 --> 00:07:19,760 Speaker 5: the faint of heart here because talk to us at 138 00:07:19,800 --> 00:07:24,800 Speaker 5: just about I don't insurance and how this folks that 139 00:07:24,920 --> 00:07:25,240 Speaker 5: are just. 140 00:07:25,240 --> 00:07:27,920 Speaker 7: Keep rebuilding and rebuilding. Is there are there lessons learned 141 00:07:27,960 --> 00:07:28,400 Speaker 7: down there? 142 00:07:29,760 --> 00:07:33,920 Speaker 6: Well, many, many folks predict that these hurricanes are going 143 00:07:33,960 --> 00:07:36,760 Speaker 6: to end the growth in Florida, and they've been on 144 00:07:36,880 --> 00:07:39,000 Speaker 6: record for one hundred and fifty plus years. Going back 145 00:07:39,040 --> 00:07:42,120 Speaker 6: over one hundred years, I think there's over thirty category 146 00:07:42,120 --> 00:07:46,080 Speaker 6: threes or higher that have struck the state. Dire predictions 147 00:07:46,080 --> 00:07:48,240 Speaker 6: have been made in the past and they never come about. 148 00:07:48,280 --> 00:07:50,960 Speaker 6: And it's because the demand to live in Florida just 149 00:07:51,040 --> 00:07:58,320 Speaker 6: keeps increasing. Nice, solid economy, good weather, Son's hurricanes, warm 150 00:07:58,360 --> 00:08:01,000 Speaker 6: in the winter, air conditioning works in the summer, strong 151 00:08:01,040 --> 00:08:03,640 Speaker 6: business climate. People are coming to Florida and this is 152 00:08:03,640 --> 00:08:04,360 Speaker 6: not going to stop. 153 00:08:04,680 --> 00:08:08,600 Speaker 3: What about the prices of those particular houses though, because 154 00:08:08,760 --> 00:08:11,960 Speaker 3: what we can't argue is that insurance companies are dump 155 00:08:12,000 --> 00:08:14,880 Speaker 3: in Florida right there's any local insurance companies. There are 156 00:08:14,880 --> 00:08:19,200 Speaker 3: many stories of people's insurance premium is just rising really fast, 157 00:08:19,200 --> 00:08:21,040 Speaker 3: which means it's hard then to sell the house. At 158 00:08:21,080 --> 00:08:23,960 Speaker 3: the same time, maybe it's more expensive than to buy 159 00:08:24,000 --> 00:08:24,400 Speaker 3: a house. 160 00:08:24,560 --> 00:08:25,960 Speaker 2: Does this need to settle out? 161 00:08:27,520 --> 00:08:29,480 Speaker 6: It does, and this has been an issue in Florida 162 00:08:29,560 --> 00:08:33,080 Speaker 6: for quite some time now. It's slowly getting better. Some 163 00:08:33,240 --> 00:08:38,600 Speaker 6: legislation was brought about in terms of limiting liability exposure 164 00:08:39,320 --> 00:08:42,440 Speaker 6: off of certain types of damages and that you had 165 00:08:42,440 --> 00:08:47,160 Speaker 6: to be timely and filing your claims slowly slowly taking effect. 166 00:08:47,520 --> 00:08:50,120 Speaker 6: But home insurance is going to be an issue in 167 00:08:50,160 --> 00:08:54,640 Speaker 6: Florida for years to come. The state does have an 168 00:08:54,640 --> 00:08:57,960 Speaker 6: insurer of last resort and that's the Citizens Group. If 169 00:08:58,000 --> 00:09:01,680 Speaker 6: you there in Florida, you're very familiar with Citizens, So yes, 170 00:09:01,800 --> 00:09:05,640 Speaker 6: it's a problem. It's something that'll work through. The reinsurance 171 00:09:05,720 --> 00:09:07,880 Speaker 6: rates have gone down this year for Florida. That was 172 00:09:08,040 --> 00:09:11,560 Speaker 6: really good news. Probably will not be again. So in 173 00:09:11,559 --> 00:09:16,480 Speaker 6: other words, the people ensuring the insurance companies their rates 174 00:09:16,480 --> 00:09:20,040 Speaker 6: had went down an end of twenty three, they'll probably 175 00:09:20,040 --> 00:09:22,079 Speaker 6: be back up end of this year now due to 176 00:09:22,120 --> 00:09:24,040 Speaker 6: the two storms combined. 177 00:09:24,320 --> 00:09:26,640 Speaker 7: All right, let's zoom out a little bit from Florida 178 00:09:26,679 --> 00:09:29,000 Speaker 7: and just talk about affordability. 179 00:09:29,040 --> 00:09:32,840 Speaker 5: Housing affordability or lack there of in this country. Can 180 00:09:32,880 --> 00:09:35,320 Speaker 5: you just give us a sense of how do we 181 00:09:35,360 --> 00:09:36,719 Speaker 5: got to this place where we are now where it 182 00:09:36,800 --> 00:09:39,319 Speaker 5: really seems to be a real stretch for so many Americans. 183 00:09:39,400 --> 00:09:40,440 Speaker 7: Housing affordability. 184 00:09:41,320 --> 00:09:44,640 Speaker 6: Sure, So, if I had to pick one item that 185 00:09:44,800 --> 00:09:48,960 Speaker 6: was the most influential in this or the approximate cause 186 00:09:49,000 --> 00:09:52,720 Speaker 6: of unaffordable housing at this point in time was post 187 00:09:52,800 --> 00:09:56,560 Speaker 6: the last housing crash circa two thousand and seven and eight, 188 00:09:56,800 --> 00:09:59,880 Speaker 6: depending on where you were in the country. The markets 189 00:10:00,040 --> 00:10:02,440 Speaker 6: turned out. Real estate markets all over the country turned down. 190 00:10:02,880 --> 00:10:05,600 Speaker 6: They bottomed about twelve but during that period in time, 191 00:10:05,679 --> 00:10:13,080 Speaker 6: we lost thousands of small builders. Today we mostly have large, 192 00:10:13,160 --> 00:10:18,200 Speaker 6: publicly owned developers. It's hard to keep pace. We've just 193 00:10:18,280 --> 00:10:21,079 Speaker 6: lost so many builders. You know, the difference between a 194 00:10:21,080 --> 00:10:24,400 Speaker 6: builder and developer quite often is maybe the scale. So 195 00:10:24,440 --> 00:10:28,960 Speaker 6: we have fewer but much much larger developers, But we 196 00:10:29,000 --> 00:10:32,240 Speaker 6: still need those mom and pop builders that build those 197 00:10:32,280 --> 00:10:35,000 Speaker 6: fifty plus or minus homes a year, and they just 198 00:10:35,120 --> 00:10:37,440 Speaker 6: they left the market, or they were forced out, or 199 00:10:37,440 --> 00:10:40,280 Speaker 6: they were forced into bankruptcy, and they have not come 200 00:10:40,360 --> 00:10:43,600 Speaker 6: back into the marketplace. That might so we're not building enough. 201 00:10:43,520 --> 00:10:45,920 Speaker 3: Years explanation I've heard for what we don't have enough 202 00:10:45,920 --> 00:10:49,680 Speaker 3: supply that nuance. Does that mean then that this is 203 00:10:49,679 --> 00:10:52,480 Speaker 3: a cyclical industry still, as you say, like, okay, so 204 00:10:52,520 --> 00:10:54,080 Speaker 3: then you got to then we're going to overbuild at 205 00:10:54,120 --> 00:10:55,920 Speaker 3: some point and then prices come down or is this 206 00:10:56,040 --> 00:10:56,959 Speaker 3: truly structural? 207 00:10:59,160 --> 00:11:02,800 Speaker 6: I think it's still more cyclical. But this is this 208 00:11:02,840 --> 00:11:05,040 Speaker 6: is an ongoing issue. So if we go through a 209 00:11:05,080 --> 00:11:07,160 Speaker 6: few cycles and we haven't solved it, then yes, we 210 00:11:07,559 --> 00:11:12,320 Speaker 6: have a chronic, persistent problem. I would love to see 211 00:11:12,920 --> 00:11:15,520 Speaker 6: a little bit easier for the small builder to develop 212 00:11:15,600 --> 00:11:21,280 Speaker 6: and thrive and restart. Getting that done is another set 213 00:11:21,320 --> 00:11:23,120 Speaker 6: of circumstances to work through. 214 00:11:24,000 --> 00:11:25,360 Speaker 5: You know, one of the issues for a lot of 215 00:11:25,360 --> 00:11:28,000 Speaker 5: folks is nobody wants to leave their home because so 216 00:11:28,040 --> 00:11:30,680 Speaker 5: many people are sitting on you know, three four percent 217 00:11:30,760 --> 00:11:32,599 Speaker 5: mortgages some people below. 218 00:11:32,440 --> 00:11:34,520 Speaker 2: You set me up, man, you do it on purpose. 219 00:11:34,559 --> 00:11:36,440 Speaker 3: At this point, I have two point seventy five, which 220 00:11:36,480 --> 00:11:38,080 Speaker 3: I talk about all the time all the time. 221 00:11:38,200 --> 00:11:40,120 Speaker 8: So where do you think mortgage rates need to go? 222 00:11:40,559 --> 00:11:43,720 Speaker 5: Professor for you know, the Alex Steels of the world, saying, 223 00:11:43,720 --> 00:11:46,200 Speaker 5: all right, I can consider selling my existing home and 224 00:11:46,200 --> 00:11:46,800 Speaker 5: going somewhere else. 225 00:11:46,840 --> 00:11:48,480 Speaker 7: That would free up some inventory. 226 00:11:49,800 --> 00:11:53,000 Speaker 6: So our overall mortgage rates in the country, they're higher. 227 00:11:53,000 --> 00:11:56,040 Speaker 6: Oddly they're higher since the Fed's announcement to lower the 228 00:11:56,080 --> 00:11:58,680 Speaker 6: interbank loan rate, but that that'll correct itself in the 229 00:11:58,679 --> 00:12:01,520 Speaker 6: next few weeks or so. But it's not necessarily what 230 00:12:01,760 --> 00:12:05,040 Speaker 6: rate will have to come about such that folks will 231 00:12:05,040 --> 00:12:07,320 Speaker 6: start to begin to sell those two point seventy five 232 00:12:07,400 --> 00:12:10,680 Speaker 6: three percent loans. What will happen, probably more likely for 233 00:12:10,760 --> 00:12:14,080 Speaker 6: those folks is they'll have a change in life event 234 00:12:14,559 --> 00:12:19,680 Speaker 6: I'm moving to another city. Unfortunately, financial distress will cause 235 00:12:19,720 --> 00:12:22,040 Speaker 6: a lot of sale. So a lot of these things 236 00:12:22,040 --> 00:12:23,480 Speaker 6: are going to be brought back. A lot of these 237 00:12:23,480 --> 00:12:25,600 Speaker 6: properties are going to be brought back into the marketplace 238 00:12:25,640 --> 00:12:28,560 Speaker 6: because I have to sell rather than I want to sell. 239 00:12:28,960 --> 00:12:31,839 Speaker 6: But we're probably going to see an environment we'll get 240 00:12:31,880 --> 00:12:33,800 Speaker 6: back to the four and a half spives. We're never 241 00:12:34,320 --> 00:12:36,959 Speaker 6: I don't think in my professional lifetime will we ever 242 00:12:37,000 --> 00:12:39,360 Speaker 6: see two point seventy five or three percent again. That 243 00:12:39,559 --> 00:12:42,839 Speaker 6: was just so unusual and we can't have that as 244 00:12:42,840 --> 00:12:45,400 Speaker 6: the norm. And oh we're not back to the norm. 245 00:12:45,400 --> 00:12:46,959 Speaker 6: Well that wasn't the norm. 246 00:12:47,240 --> 00:12:49,480 Speaker 3: Yeah, I was doing a little happy dance for those 247 00:12:49,480 --> 00:12:51,680 Speaker 3: of you who were unfortunately smug. 248 00:12:52,040 --> 00:12:54,319 Speaker 7: Yes I am. I mean the air of smugness. 249 00:12:54,679 --> 00:12:57,520 Speaker 3: It's the one thing I can literally, the one thing 250 00:12:57,600 --> 00:13:00,360 Speaker 3: I can brag about, and so I do walk about. 251 00:13:00,360 --> 00:13:03,720 Speaker 3: It's still being a cyclical industry. How long do you 252 00:13:03,760 --> 00:13:06,360 Speaker 3: think that cycle then could be? Like when do we 253 00:13:06,440 --> 00:13:08,839 Speaker 3: get to like an oversupply situation? 254 00:13:09,040 --> 00:13:10,360 Speaker 2: Ten years? What does it look like? 255 00:13:11,640 --> 00:13:15,600 Speaker 6: So hard to say. Again, the cycle, this last cycle 256 00:13:15,679 --> 00:13:19,320 Speaker 6: has been extended for several reasons, one of which is COVID, 257 00:13:19,320 --> 00:13:21,280 Speaker 6: And we were talking about the low interest rates. We 258 00:13:21,280 --> 00:13:25,040 Speaker 6: were pretty near a peak back in twenty ish, and 259 00:13:25,080 --> 00:13:28,440 Speaker 6: then we had COVID and we've all had much easier 260 00:13:28,480 --> 00:13:32,440 Speaker 6: access to capital, shortage of housing, we bid prices up. 261 00:13:33,000 --> 00:13:35,559 Speaker 6: This is going to be quite some time. We're years 262 00:13:35,600 --> 00:13:39,600 Speaker 6: in the catchup, so minimum another three to four years 263 00:13:39,640 --> 00:13:41,719 Speaker 6: to catch up, maximum a decade. 264 00:13:42,160 --> 00:13:45,120 Speaker 5: All right, you just made the big move from Boca Raton, Florida, 265 00:13:45,240 --> 00:13:49,080 Speaker 5: Florida Lanta University to Oxford, Mississippi thirty seconds. 266 00:13:49,280 --> 00:13:50,199 Speaker 7: What's the big difference. 267 00:13:52,200 --> 00:13:57,199 Speaker 6: Well, I have the best of both worlds now. Originally 268 00:13:57,240 --> 00:14:00,640 Speaker 6: I'm from the South and I've always loved are that 269 00:14:00,920 --> 00:14:05,560 Speaker 6: dreamt of being at a state university, flagship school SEC 270 00:14:05,679 --> 00:14:09,040 Speaker 6: football and sports. I love Boca. So we've kept a 271 00:14:09,080 --> 00:14:10,880 Speaker 6: place there in Boca, my wife and I have and 272 00:14:11,160 --> 00:14:13,679 Speaker 6: we will continue to be there in the summers and 273 00:14:14,920 --> 00:14:17,679 Speaker 6: at Christmas time. You know, to be anything above it 274 00:14:17,840 --> 00:14:22,120 Speaker 6: ten is like a reflecting barrier in terms of winter cold. 275 00:14:22,320 --> 00:14:24,920 Speaker 6: But if you come to Oxford, you would understand why 276 00:14:24,960 --> 00:14:27,080 Speaker 6: I wouldn't pass on this opportunity to come here and 277 00:14:27,120 --> 00:14:27,840 Speaker 6: build a program. 278 00:14:27,920 --> 00:14:29,400 Speaker 7: Yeah, it's fantastic. 279 00:14:29,920 --> 00:14:33,080 Speaker 5: Old Miss Ken Johnson Walker Family Chair of real Estate 280 00:14:33,120 --> 00:14:36,560 Speaker 5: at the University of Mississippi that is in Oxford, Mississippi. 281 00:14:36,560 --> 00:14:38,920 Speaker 5: I just kind of googled map the because I always forget. 282 00:14:38,680 --> 00:14:42,280 Speaker 7: Where Oxford is. Northwestern part of the state. Just it's 283 00:14:42,360 --> 00:14:44,960 Speaker 7: very close to Memphis. Tennessee. Actually, oh, it's closely the 284 00:14:45,040 --> 00:14:48,680 Speaker 7: Arkansas border, but it is. You know, that's deep sec. 285 00:14:48,560 --> 00:14:51,480 Speaker 5: Country, Old miss but pretty cool there. But again, a 286 00:14:51,480 --> 00:14:53,680 Speaker 5: big move from Bocah to Oxford. 287 00:14:54,120 --> 00:14:55,560 Speaker 3: I thought you were looking at an uber and I'm like, 288 00:14:55,600 --> 00:14:57,520 Speaker 3: you're not goingwhere. For like two hours, I don't know 289 00:14:57,520 --> 00:14:58,280 Speaker 3: what this guy's doing. 290 00:14:58,280 --> 00:15:00,880 Speaker 7: But now now I understand you where it's all about. 291 00:15:02,360 --> 00:15:06,200 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 292 00:15:06,280 --> 00:15:09,360 Speaker 1: weekdays at ten am Eastern on fo car playing Android 293 00:15:09,400 --> 00:15:12,520 Speaker 1: Otto with the Bloomberg Business App. Listen on demand wherever 294 00:15:12,560 --> 00:15:16,400 Speaker 1: you get your podcasts, or watch us live on YouTube. 295 00:15:17,400 --> 00:15:20,200 Speaker 5: Let's check in with somebody who's paying attention to earnings 296 00:15:20,200 --> 00:15:22,880 Speaker 5: because they're going to kick off in size tomorrow with 297 00:15:23,040 --> 00:15:25,200 Speaker 5: JP Morgan. We always pay attention to what Jamie Dimond 298 00:15:25,240 --> 00:15:29,320 Speaker 5: says about the overall economy. Karen Murphy Joints is. She's 299 00:15:29,320 --> 00:15:33,400 Speaker 5: a CIO at Kestra Investment Management. So Carol, we're gonna 300 00:15:33,400 --> 00:15:35,600 Speaker 5: have earnings tomorrow. But I love to just get your 301 00:15:35,880 --> 00:15:39,640 Speaker 5: thoughts here on that CPI print today and maybe how 302 00:15:39,680 --> 00:15:43,400 Speaker 5: you think that may impact FED actions going forward. 303 00:15:44,800 --> 00:15:47,280 Speaker 9: Yeah, so I given the print today, I don't think 304 00:15:47,320 --> 00:15:49,960 Speaker 9: there are too many doves who are celebrating. You know, 305 00:15:50,040 --> 00:15:51,840 Speaker 9: this is definitely a little bit of a fly in 306 00:15:51,920 --> 00:15:55,360 Speaker 9: the ointment of the deceleration and inflation that we've seen 307 00:15:55,400 --> 00:15:56,760 Speaker 9: over the last couple of months. 308 00:15:57,240 --> 00:15:57,680 Speaker 10: That's it. 309 00:15:57,720 --> 00:16:00,280 Speaker 9: I mean, it looks like markets are taking it in stride. So, 310 00:16:00,600 --> 00:16:03,240 Speaker 9: you know, inflation showed up a little bit hotter than 311 00:16:03,280 --> 00:16:04,960 Speaker 9: what I think many of us would have liked to 312 00:16:04,960 --> 00:16:08,280 Speaker 9: have seen, and I think it's a really good reminder 313 00:16:08,440 --> 00:16:11,320 Speaker 9: that the FED has a tough job. You know, we 314 00:16:11,400 --> 00:16:14,640 Speaker 9: saw also claims happened to come in today a little 315 00:16:14,640 --> 00:16:18,000 Speaker 9: bit higher than expected. So what we're seeing now is 316 00:16:18,120 --> 00:16:21,000 Speaker 9: inflation a little bit hotter than expected, labor market a 317 00:16:21,040 --> 00:16:25,000 Speaker 9: little bit weaker than expected. So it's a really difficult trajectory. 318 00:16:25,040 --> 00:16:26,920 Speaker 9: So I think the FED is still on track to 319 00:16:26,920 --> 00:16:29,480 Speaker 9: do a twenty five bit cut at its next meeting. 320 00:16:30,120 --> 00:16:32,840 Speaker 9: Today's print won't be enough to really change the Fed's mind, 321 00:16:32,920 --> 00:16:36,040 Speaker 9: but you know, it does highlight that there's a lot 322 00:16:36,040 --> 00:16:39,400 Speaker 9: of complexity and a couple more sort of hotter inflation 323 00:16:39,480 --> 00:16:40,960 Speaker 9: prints between now and the end of the year. It 324 00:16:40,960 --> 00:16:42,840 Speaker 9: could start to slow those FED rate cuts. 325 00:16:42,960 --> 00:16:45,480 Speaker 3: Yeah, exactly, we've seen FED cuts kind of priced down 326 00:16:45,480 --> 00:16:48,920 Speaker 3: a little bit up for twenty twenty five. So if 327 00:16:49,120 --> 00:16:52,520 Speaker 3: we are okay, it's a two firm, does that mean 328 00:16:52,520 --> 00:16:55,960 Speaker 3: that the US economy could reaccelerate? And then if we 329 00:16:56,040 --> 00:16:59,240 Speaker 3: are seeing a longer economic cycle, does it change where 330 00:16:59,280 --> 00:17:01,480 Speaker 3: in the market have to be invested with in equities. 331 00:17:03,000 --> 00:17:05,440 Speaker 9: I think that's the question that we should be asking ourselves, 332 00:17:05,720 --> 00:17:08,160 Speaker 9: and I think the easy answer is that, like, we 333 00:17:08,240 --> 00:17:10,879 Speaker 9: know that the economy and the market typically doesn't go 334 00:17:10,920 --> 00:17:14,280 Speaker 9: in a straight line, So the FED is actively trying 335 00:17:14,320 --> 00:17:16,919 Speaker 9: to pivot. Right. We had our first rate cut in 336 00:17:17,000 --> 00:17:20,000 Speaker 9: quite a while, and that introduces a lot of cross 337 00:17:20,000 --> 00:17:22,040 Speaker 9: currents into the market, and so it makes sense that 338 00:17:22,119 --> 00:17:24,320 Speaker 9: the economy is going to kind of, you know, chunk 339 00:17:24,359 --> 00:17:27,080 Speaker 9: around for a little bit. So yes, we could see 340 00:17:27,080 --> 00:17:30,359 Speaker 9: a reacceleration. I think the Fed will then you start 341 00:17:30,400 --> 00:17:33,399 Speaker 9: to pull back a little bit. But this like lag 342 00:17:33,480 --> 00:17:36,800 Speaker 9: issue in monetary policy is a really big challenge because 343 00:17:37,240 --> 00:17:40,439 Speaker 9: the labor market starting to weaken a little bit is 344 00:17:40,520 --> 00:17:43,320 Speaker 9: responding to rate cuts that happened quite some time ago. 345 00:17:43,880 --> 00:17:46,760 Speaker 9: So even sorry rate hikes that happened quite some time ago. 346 00:17:47,040 --> 00:17:49,640 Speaker 9: So even if the Fed starts to cut, it will 347 00:17:49,680 --> 00:17:51,680 Speaker 9: be a while before we see it in the market, 348 00:17:52,280 --> 00:17:54,480 Speaker 9: So it makes sense that the market will or the 349 00:17:54,520 --> 00:17:57,560 Speaker 9: economy will sort of like reaccelerate and then slow down again, 350 00:17:58,600 --> 00:18:00,159 Speaker 9: and it'll take a little while before we get to 351 00:18:00,240 --> 00:18:02,800 Speaker 9: like that firm footing and determine where the FED should 352 00:18:03,200 --> 00:18:05,919 Speaker 9: have its resting place be. So then what does the 353 00:18:05,960 --> 00:18:08,880 Speaker 9: market do in the meantime? I think smaller companies who 354 00:18:08,920 --> 00:18:12,120 Speaker 9: rely more heavily on debt are a little bit more 355 00:18:12,200 --> 00:18:15,960 Speaker 9: subject to the fed's whims, so as FED rates come down, 356 00:18:16,000 --> 00:18:19,040 Speaker 9: they'll benefit more. If those rates take longer, it might 357 00:18:19,080 --> 00:18:22,399 Speaker 9: take longer for them to see that real earnings reacceleration 358 00:18:22,480 --> 00:18:25,639 Speaker 9: that we're waiting for. But there are multiple different pieces 359 00:18:25,640 --> 00:18:26,760 Speaker 9: that kind of feed into that. 360 00:18:27,720 --> 00:18:31,280 Speaker 5: So given all that background, how are you guys positioned? First, 361 00:18:31,320 --> 00:18:32,919 Speaker 5: let's go with the equity side of the equation. 362 00:18:32,960 --> 00:18:33,840 Speaker 7: How are you positioned there? 363 00:18:34,920 --> 00:18:37,840 Speaker 9: So we still are really favorable on equities, But what 364 00:18:37,880 --> 00:18:41,600 Speaker 9: we found is that your core benchmarks have moved very 365 00:18:41,640 --> 00:18:45,320 Speaker 9: heavy into large cap or megacap and into growth. So 366 00:18:45,359 --> 00:18:47,680 Speaker 9: what we're doing is kind of taking a step closer 367 00:18:47,720 --> 00:18:50,240 Speaker 9: towards a little bit more even split between value and 368 00:18:50,280 --> 00:18:53,719 Speaker 9: growth and favoring some of those somewhat smaller companies, and 369 00:18:53,760 --> 00:18:55,159 Speaker 9: like I often say, you don't have to go all 370 00:18:55,200 --> 00:18:58,040 Speaker 9: the way down to small cap in order to benefit 371 00:18:58,119 --> 00:19:00,360 Speaker 9: from being out of that megacap You just you can 372 00:19:00,400 --> 00:19:02,720 Speaker 9: just go into the smaller large cap or we think 373 00:19:02,760 --> 00:19:06,280 Speaker 9: megacap MidCap is really attractive as well. So just starting 374 00:19:06,320 --> 00:19:08,680 Speaker 9: to step a little bit towards the center of that 375 00:19:09,280 --> 00:19:11,119 Speaker 9: while still remaining overweight equities. 376 00:19:11,280 --> 00:19:13,240 Speaker 3: Yeah, I feel like I've been talking about mid caps 377 00:19:13,280 --> 00:19:15,320 Speaker 3: for a bit, and every kind of day you got 378 00:19:15,320 --> 00:19:18,479 Speaker 3: the SMP making a record high, the midcaps also make 379 00:19:18,520 --> 00:19:21,360 Speaker 3: a run for it at the same time. Okay, how 380 00:19:21,359 --> 00:19:24,040 Speaker 3: does that then position you in the bond market? Like, 381 00:19:24,119 --> 00:19:25,960 Speaker 3: do we still get a steepener? It's just a matter 382 00:19:26,000 --> 00:19:27,840 Speaker 3: of how we get that steepener that matters. 383 00:19:29,520 --> 00:19:32,639 Speaker 9: Yes, it does. And I think the easier sort of 384 00:19:32,720 --> 00:19:35,199 Speaker 9: bet to make on the fixed income side is to 385 00:19:35,280 --> 00:19:38,200 Speaker 9: be out of high yield credit, not completely out, but 386 00:19:38,320 --> 00:19:41,520 Speaker 9: underweight high yield credit where we think if the FED 387 00:19:41,640 --> 00:19:44,320 Speaker 9: rate cutting cycle takes longer than we'd like to, those 388 00:19:44,320 --> 00:19:46,280 Speaker 9: are the companies that are going to face some pressure. 389 00:19:46,680 --> 00:19:49,040 Speaker 9: And you see really low spreads there right, so you're 390 00:19:49,080 --> 00:19:51,280 Speaker 9: not being paid a lot in order to take that risk. 391 00:19:52,200 --> 00:19:54,439 Speaker 9: High quality corporate on the other hand, we think is 392 00:19:54,440 --> 00:19:57,320 Speaker 9: pretty attractive. There you get a nice interest rate bomb, 393 00:19:57,640 --> 00:19:59,800 Speaker 9: you're not taking a huge amount of duration risk, but 394 00:20:00,040 --> 00:20:03,800 Speaker 9: still benefiting from that higher overall yield compared to treasuries. 395 00:20:04,160 --> 00:20:06,240 Speaker 9: So in treasuries there you know, would be more in 396 00:20:06,280 --> 00:20:08,879 Speaker 9: the belly of the curve outside those really long duration 397 00:20:09,040 --> 00:20:12,720 Speaker 9: which we've seen be fairly volatile as inflation sort of 398 00:20:12,760 --> 00:20:15,080 Speaker 9: comes and goes. But you want to start to step 399 00:20:15,119 --> 00:20:16,760 Speaker 9: off of those really short term rates. 400 00:20:17,119 --> 00:20:19,240 Speaker 5: And if I look at then GO function on the 401 00:20:19,240 --> 00:20:21,280 Speaker 5: Bloomberg terminal, which gives me a nice overview kind of 402 00:20:21,280 --> 00:20:24,560 Speaker 5: fixed income market year today performance, the best for fixed 403 00:20:24,560 --> 00:20:27,320 Speaker 5: income has been and by far has been US high 404 00:20:27,400 --> 00:20:28,760 Speaker 5: yield corporates. 405 00:20:28,800 --> 00:20:32,560 Speaker 7: Talks about the higher money now, love to get your 406 00:20:32,600 --> 00:20:34,280 Speaker 7: thoughts there. What do you think about the high old market. 407 00:20:35,080 --> 00:20:37,760 Speaker 9: Yeah, so it's been super interesting to see how it's 408 00:20:37,800 --> 00:20:40,560 Speaker 9: really led. And typically what we see is high yield 409 00:20:40,640 --> 00:20:44,159 Speaker 9: is very highly correlated with equity markets. So in some ways, 410 00:20:44,280 --> 00:20:46,119 Speaker 9: you know, that's a lot of what we've been seeing 411 00:20:46,119 --> 00:20:49,320 Speaker 9: where it's very consistent that investors are looking for a 412 00:20:49,320 --> 00:20:51,360 Speaker 9: little bit more risk, and so if they're dipping their 413 00:20:51,359 --> 00:20:53,760 Speaker 9: toe into the fixed income market, high yield becomes an 414 00:20:53,760 --> 00:20:56,520 Speaker 9: easy place to go. I also think as folks were 415 00:20:56,560 --> 00:20:59,680 Speaker 9: worried about kind of the trajectory of the FED rate cut, 416 00:20:59,720 --> 00:21:02,040 Speaker 9: that was also a safer place to be. You're a 417 00:21:02,040 --> 00:21:05,520 Speaker 9: little bit more inoculated from those rate changes because you 418 00:21:05,560 --> 00:21:08,480 Speaker 9: have that spread. But again, that's looking in the rear 419 00:21:08,560 --> 00:21:11,320 Speaker 9: view mirror. So we've seen that real strength in the 420 00:21:11,359 --> 00:21:13,920 Speaker 9: past and going forward, I don't know that you're being 421 00:21:13,920 --> 00:21:14,879 Speaker 9: paid to take a lot. 422 00:21:14,760 --> 00:21:15,320 Speaker 7: Of that risk. 423 00:21:15,680 --> 00:21:18,960 Speaker 3: Yeah, right, exactly. So then if you want to go 424 00:21:19,000 --> 00:21:22,360 Speaker 3: in corporate credit, where's the right place, Like you're looking 425 00:21:22,440 --> 00:21:24,440 Speaker 3: at double Bee's, Triple B's kind of thing. 426 00:21:26,000 --> 00:21:28,120 Speaker 9: Yeah, I think right in that place, And you can 427 00:21:28,119 --> 00:21:31,000 Speaker 9: also go higher credit quality as well. Again, those spreads 428 00:21:31,000 --> 00:21:33,680 Speaker 9: are fairly tight, but if you're in the belly part 429 00:21:33,680 --> 00:21:37,120 Speaker 9: of the curve, you're a little bit protected from any 430 00:21:37,119 --> 00:21:39,520 Speaker 9: of that volatility on the long end, and you can 431 00:21:39,560 --> 00:21:41,919 Speaker 9: have some really nice, juicy yields. If you look at 432 00:21:42,000 --> 00:21:44,879 Speaker 9: yields today in that space compared to the last ten years, 433 00:21:45,200 --> 00:21:47,800 Speaker 9: you have among the best yields that we've seen during 434 00:21:47,920 --> 00:21:51,879 Speaker 9: some investors' lifetimes. So that's you know, that's a pretty 435 00:21:51,920 --> 00:21:52,960 Speaker 9: attractive place to be. 436 00:21:53,520 --> 00:21:56,320 Speaker 5: And Cara, I think the month of September was either 437 00:21:56,680 --> 00:21:59,119 Speaker 5: the biggest issuance month, but are one of the biggest 438 00:21:59,160 --> 00:22:02,280 Speaker 5: issuance months of investment grade corporates. When you, as an 439 00:22:02,280 --> 00:22:05,840 Speaker 5: investor see companies rushing to the market, what does that 440 00:22:05,880 --> 00:22:06,680 Speaker 5: tell you about the market? 441 00:22:06,920 --> 00:22:07,800 Speaker 7: Take anything away from that. 442 00:22:09,080 --> 00:22:11,679 Speaker 9: Well, I think a lot of firms had really held 443 00:22:11,680 --> 00:22:14,359 Speaker 9: off issuing debt because of uncertainty in the market. It's 444 00:22:14,359 --> 00:22:17,000 Speaker 9: an uncertainty of where rates we're going to go. So 445 00:22:17,080 --> 00:22:19,200 Speaker 9: I think this is a sign of confidence that people 446 00:22:19,240 --> 00:22:21,120 Speaker 9: are willing to come back to the market. I would 447 00:22:21,160 --> 00:22:23,560 Speaker 9: expect to continue to see issuance kind of tick up 448 00:22:23,600 --> 00:22:26,159 Speaker 9: over the next couple of months, especially as if we 449 00:22:26,200 --> 00:22:28,439 Speaker 9: see additional rate cuts. So I think it's a healthy 450 00:22:28,440 --> 00:22:29,640 Speaker 9: sign for the market overall. 451 00:22:30,200 --> 00:22:32,480 Speaker 3: All right, Kara, really appreciate it. Thank you so very 452 00:22:32,560 --> 00:22:36,720 Speaker 3: much for joining us Care. Murphy CEO Orchestra Investment Management. 453 00:22:36,760 --> 00:22:39,240 Speaker 3: It all depends too, Paul, like, what do you think 454 00:22:39,280 --> 00:22:41,439 Speaker 3: the catalyst is going to be? Deutsche Bank had a 455 00:22:41,440 --> 00:22:43,400 Speaker 3: really interesting note oubt and I appreciate it is from 456 00:22:43,440 --> 00:22:45,960 Speaker 3: the equity side, but saying that cyclical growth is now 457 00:22:46,040 --> 00:22:48,920 Speaker 3: the key driver for equity is not infletion not rates, 458 00:22:48,960 --> 00:22:51,320 Speaker 3: which makes an earning season kind of all the much 459 00:22:51,320 --> 00:22:51,840 Speaker 3: more important. 460 00:22:51,880 --> 00:22:53,360 Speaker 2: Sure, maybe you're all talking your book. 461 00:22:53,119 --> 00:22:55,000 Speaker 3: Of what you like to cover, but still, but the 462 00:22:55,040 --> 00:22:56,480 Speaker 3: idea is like, look, the Fed is going to do 463 00:22:56,520 --> 00:22:59,439 Speaker 3: the thing. Other things are going to matter, especially if 464 00:22:59,440 --> 00:23:01,480 Speaker 3: we get any sort of capex spend after the US 465 00:23:01,560 --> 00:23:04,440 Speaker 3: election or even after earnings, for example. 466 00:23:04,160 --> 00:23:06,480 Speaker 2: And some of that's going to be structural rather than cyclical. 467 00:23:06,640 --> 00:23:09,000 Speaker 5: Yeah, in interesting to see, and I guess you know, uh, 468 00:23:09,240 --> 00:23:11,800 Speaker 5: Jamie Diamond tomorrow. I think a lot of folks kind 469 00:23:11,800 --> 00:23:13,879 Speaker 5: of really dial into that call hoping to get a 470 00:23:13,960 --> 00:23:16,159 Speaker 5: view of kind of how the global economy is looking 471 00:23:16,720 --> 00:23:19,200 Speaker 5: across all of their businesses. But again, maybe it could 472 00:23:19,240 --> 00:23:21,760 Speaker 5: be a time for cyclicals. A lot of folks, as 473 00:23:21,880 --> 00:23:24,600 Speaker 5: Caro was suggesting, maybe thinking about broadening out this mark 474 00:23:24,600 --> 00:23:26,280 Speaker 5: a little bit at mid captain small cap. 475 00:23:26,359 --> 00:23:27,840 Speaker 7: So yep, keep keep that in mind. 476 00:23:29,440 --> 00:23:33,320 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 477 00:23:33,400 --> 00:23:36,920 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 478 00:23:36,960 --> 00:23:39,720 Speaker 1: Otto with the Bloomberg Business app. You can also listen 479 00:23:39,840 --> 00:23:42,920 Speaker 1: live on Amazon Alexa from our flagship New York station, 480 00:23:43,320 --> 00:23:46,080 Speaker 1: just Say Alexa Play Bloomberg eleven thirty. 481 00:23:47,920 --> 00:23:49,199 Speaker 3: I we want to get the take now on what 482 00:23:49,320 --> 00:23:53,000 Speaker 3: Hurricane Milton means for the reinsurance and the insurance companies. 483 00:23:53,040 --> 00:23:57,000 Speaker 3: Matthew Palizoa, Bloomberg Intelligence Andior ANALYSTP and C Insurance joins US. Now, 484 00:23:57,320 --> 00:23:59,359 Speaker 3: so how have you changed your modeling in terms of 485 00:23:59,359 --> 00:24:02,200 Speaker 3: the impact for the insurers based on what we've seen. 486 00:24:02,760 --> 00:24:05,840 Speaker 11: So it looks like they avoided the worst case scenario 487 00:24:06,280 --> 00:24:08,640 Speaker 11: we were talking about going into the storm. The inturyers 488 00:24:08,720 --> 00:24:13,200 Speaker 11: talking about about one hundred billion dollars worth of insured losses, 489 00:24:13,240 --> 00:24:16,120 Speaker 11: which would have made it the worst storm ever. That 490 00:24:16,280 --> 00:24:20,000 Speaker 11: was predicated on a direct hit into Tampa Bay, which 491 00:24:20,000 --> 00:24:23,960 Speaker 11: really didn't happen. So that was the good news. The 492 00:24:24,000 --> 00:24:26,160 Speaker 11: bad news is still going to be a large insured 493 00:24:26,200 --> 00:24:29,280 Speaker 11: loss event. Now. The other good news for the large 494 00:24:29,359 --> 00:24:31,320 Speaker 11: national carriers when we kind of talked about this before, 495 00:24:31,480 --> 00:24:34,440 Speaker 11: is they're just not big players in that market. So 496 00:24:34,600 --> 00:24:39,560 Speaker 11: companies like Travelers, Chubb, AIG, Hartford, they're not major players 497 00:24:39,600 --> 00:24:42,399 Speaker 11: in the Florida home market. They will have losses from this, 498 00:24:42,920 --> 00:24:47,399 Speaker 11: but much less than we initially anticipated. I come to 499 00:24:47,480 --> 00:24:50,040 Speaker 11: like a midpoint of maybe five to six percent of 500 00:24:50,200 --> 00:24:52,639 Speaker 11: annual EPs taken out from the storm. 501 00:24:53,040 --> 00:24:56,159 Speaker 5: What do we think that insured losses actually will end 502 00:24:56,240 --> 00:24:57,480 Speaker 5: up being, if not one hundred billion. 503 00:24:57,600 --> 00:25:01,160 Speaker 11: So it's super early, Paul, But I mean, just back 504 00:25:01,160 --> 00:25:03,200 Speaker 11: at the envelope, we're kind of looking at maybe ten 505 00:25:03,359 --> 00:25:05,879 Speaker 11: to fifty or something like that. Like it could be 506 00:25:05,920 --> 00:25:09,920 Speaker 11: on top Hurricane Ian twenty twenty two was sixty five. 507 00:25:11,880 --> 00:25:15,040 Speaker 11: The early reports I'm hearing is the surge in Tampa 508 00:25:15,080 --> 00:25:18,480 Speaker 11: was actually less than even Colleen, So it was less 509 00:25:18,480 --> 00:25:22,359 Speaker 11: than Ian as well, So it could be lower than 510 00:25:22,480 --> 00:25:24,399 Speaker 11: sixty five. But it's still early, and you've got the 511 00:25:24,400 --> 00:25:26,159 Speaker 11: holding damage on top of it. 512 00:25:26,200 --> 00:25:28,720 Speaker 3: Is this, So how does it work done with premiums? 513 00:25:29,040 --> 00:25:31,119 Speaker 3: I mean we're used to hurricanes, right, so like do 514 00:25:31,200 --> 00:25:34,359 Speaker 3: premiums for insurers or reinsures wind up going up? 515 00:25:34,400 --> 00:25:34,480 Speaker 9: Like? 516 00:25:34,520 --> 00:25:36,280 Speaker 2: How does that work? And what's the immediate reaction? 517 00:25:36,440 --> 00:25:39,560 Speaker 11: So you got a bunch of dynamics in this whole 518 00:25:39,640 --> 00:25:41,119 Speaker 11: insurance premiums going up. 519 00:25:41,080 --> 00:25:43,800 Speaker 2: Anyway, right for everyone? 520 00:25:43,960 --> 00:25:47,240 Speaker 11: Pretty much for everyone. That's been happening for a while now, 521 00:25:47,280 --> 00:25:52,080 Speaker 11: And that is cost of materials, the frequency and severity 522 00:25:52,119 --> 00:25:58,640 Speaker 11: of storms nationwide anyway, severe convective storms, kind of strong hail, 523 00:25:58,760 --> 00:26:01,159 Speaker 11: stuff like that. So it's not just hurricanes, So that 524 00:26:01,440 --> 00:26:05,119 Speaker 11: has been driving home insurance prices up anyway. Reinsurance prices 525 00:26:05,359 --> 00:26:08,320 Speaker 11: insurance for insurance companies have been going up anyway, which 526 00:26:08,400 --> 00:26:11,240 Speaker 11: drives it up as well. What I think will happen, 527 00:26:11,320 --> 00:26:13,120 Speaker 11: and not exactly want to make this call, but there's 528 00:26:13,119 --> 00:26:15,359 Speaker 11: gonna be demand surge, meaning there's gonna be a huge 529 00:26:15,359 --> 00:26:18,200 Speaker 11: demand for building materials and that is going to push 530 00:26:18,320 --> 00:26:22,640 Speaker 11: up costs across the country as well, so that'll feed 531 00:26:22,680 --> 00:26:26,040 Speaker 11: into price. So there's a bunch of upward things pushing 532 00:26:26,040 --> 00:26:27,280 Speaker 11: on home insurance prices. 533 00:26:27,560 --> 00:26:30,080 Speaker 5: I don't know, it just feels like we've had a 534 00:26:30,119 --> 00:26:32,800 Speaker 5: lot of storms, and I know this this season was actually. 535 00:26:32,560 --> 00:26:34,240 Speaker 7: Pretty common until just recently. 536 00:26:34,720 --> 00:26:36,120 Speaker 5: Then I go look at the S and P five 537 00:26:36,160 --> 00:26:39,639 Speaker 5: hundred Property and casually insurance sub industry index, and there 538 00:26:39,720 --> 00:26:41,679 Speaker 5: is such a thing on the Bloomberg terminal. It's up 539 00:26:41,720 --> 00:26:44,159 Speaker 5: thirty eight percent year to date. These insurance stocks are 540 00:26:44,160 --> 00:26:45,280 Speaker 5: doing well. 541 00:26:45,320 --> 00:26:46,600 Speaker 7: What's going on there? So what's the call? 542 00:26:46,720 --> 00:26:50,760 Speaker 11: Fundamentals still good for them, and we expected a busy 543 00:26:50,800 --> 00:26:54,400 Speaker 11: hurricane season. Kind of new conditions were conducive to that happening, 544 00:26:55,080 --> 00:26:57,159 Speaker 11: and there was a lot of formation. It just there 545 00:26:57,160 --> 00:27:01,960 Speaker 11: weren't a lot of big landfalls but these stocks they're defensive, 546 00:27:02,080 --> 00:27:03,600 Speaker 11: so it's like kind of when you get worried about 547 00:27:03,640 --> 00:27:05,680 Speaker 11: the economy, they do okay, But then they can also 548 00:27:06,000 --> 00:27:09,200 Speaker 11: benefit from the economy, so they're a nice play on 549 00:27:09,560 --> 00:27:14,679 Speaker 11: both of those things. Interest rates going down is less 550 00:27:14,800 --> 00:27:17,159 Speaker 11: of an impact on them than other financials. It's not 551 00:27:17,240 --> 00:27:19,600 Speaker 11: great for them. It helped them a lot, but if 552 00:27:19,600 --> 00:27:23,359 Speaker 11: you have to own financials, they're less sensitive to interest 553 00:27:23,440 --> 00:27:26,040 Speaker 11: rate moves. So there's a bunch of positives there. I see, 554 00:27:26,240 --> 00:27:30,600 Speaker 11: sorry when I see fundamentals probably peaking, so you know, 555 00:27:30,640 --> 00:27:34,120 Speaker 11: we might be at that point, but still still good fundamentals. 556 00:27:34,640 --> 00:27:36,479 Speaker 3: This might be a really silly question, but did the 557 00:27:36,480 --> 00:27:39,480 Speaker 3: insurance policies just for homeowners are even small businesses. Do 558 00:27:39,560 --> 00:27:42,640 Speaker 3: they ensure the right things for the type of weather 559 00:27:42,680 --> 00:27:44,040 Speaker 3: pattern changes that we're seeing? 560 00:27:44,840 --> 00:27:49,600 Speaker 11: Good question? So that makes me so, well, here's the 561 00:27:49,640 --> 00:27:51,840 Speaker 11: thing is that they do. So they step back the 562 00:27:51,840 --> 00:27:55,400 Speaker 11: home insurance industry. It's not like they're raking in profits. 563 00:27:55,440 --> 00:27:57,159 Speaker 11: It's not like, oh, there's a big flood and we 564 00:27:57,200 --> 00:27:58,720 Speaker 11: didn't have to pay for it, and we're making a 565 00:27:58,720 --> 00:28:01,800 Speaker 11: lot of money. We look so over the past ten years, 566 00:28:02,080 --> 00:28:05,040 Speaker 11: the industry has paid out a dollar and three cents 567 00:28:05,880 --> 00:28:08,880 Speaker 11: for every dollar they've taken in, and that's in losses 568 00:28:08,880 --> 00:28:12,200 Speaker 11: and expenses. And that's even excluding you know, storm surge 569 00:28:12,240 --> 00:28:16,359 Speaker 11: and flood. So it's not any incredibly profitable business to 570 00:28:16,440 --> 00:28:19,800 Speaker 11: be in anyway. So if you were to say, Okay, 571 00:28:19,840 --> 00:28:23,639 Speaker 11: now these guys have to ensure flood, they have to 572 00:28:23,680 --> 00:28:27,280 Speaker 11: in storm surge, then the prices of these policies would 573 00:28:27,280 --> 00:28:30,439 Speaker 11: need to double. So to answer your question, out, they're not. 574 00:28:31,119 --> 00:28:34,680 Speaker 11: But for them to ensure everything they need to would 575 00:28:34,680 --> 00:28:36,879 Speaker 11: be prohibitively expensive. 576 00:28:37,320 --> 00:28:40,440 Speaker 3: It's sort of like how I wouldn't have wildfire insurance 577 00:28:40,480 --> 00:28:42,320 Speaker 3: for a New York apartment, but then we had all 578 00:28:42,320 --> 00:28:44,880 Speaker 3: that wildfire smoke, Like if that becomes like a common 579 00:28:44,920 --> 00:28:47,160 Speaker 3: occurrence and it messes up with I don't know, whatever 580 00:28:47,280 --> 00:28:49,360 Speaker 3: things you have in your house or apartment, like, that's 581 00:28:49,360 --> 00:28:50,080 Speaker 3: different anyway. 582 00:28:50,280 --> 00:28:53,360 Speaker 5: Just I think did Warren Buffett go into the Florida 583 00:28:53,440 --> 00:28:56,440 Speaker 5: insurance market in the last several years and was that 584 00:28:56,480 --> 00:28:57,080 Speaker 5: a mistaken with. 585 00:28:57,120 --> 00:29:04,440 Speaker 11: Hindsight, so Berkshire has obviously vast insurance businesses. Geico's a 586 00:29:04,440 --> 00:29:09,200 Speaker 11: big auto insurance writer in Florida. In twenty twenty three, 587 00:29:09,600 --> 00:29:13,200 Speaker 11: they made a big bet on the Florida reinsurance market 588 00:29:13,760 --> 00:29:15,960 Speaker 11: and that paid off handsomely for them. They could have 589 00:29:16,040 --> 00:29:18,440 Speaker 11: lost a lot there, but it actually worked out well. 590 00:29:19,600 --> 00:29:21,240 Speaker 11: You know, we would have to hear from them, but 591 00:29:22,400 --> 00:29:24,560 Speaker 11: it appears that they kind of completely backed off of 592 00:29:24,560 --> 00:29:26,800 Speaker 11: that market this year, which turns out to be another 593 00:29:26,800 --> 00:29:32,000 Speaker 11: good idea. So they'll have losses in there, no doubt, 594 00:29:32,040 --> 00:29:35,320 Speaker 11: it will not be anywhere near the magnitude that it 595 00:29:35,320 --> 00:29:38,160 Speaker 11: would impact another insurance company with a smaller balance sheet, 596 00:29:38,280 --> 00:29:40,320 Speaker 11: So they'll have some losses from this. But last year 597 00:29:40,320 --> 00:29:42,560 Speaker 11: they made a big bet on Florida the paid off 598 00:29:42,600 --> 00:29:45,920 Speaker 11: this year. Pulling out that big bet was beneficial. 599 00:29:46,040 --> 00:29:47,920 Speaker 5: I didn't know insurance simms could go in and out 600 00:29:47,920 --> 00:29:49,240 Speaker 5: of market so quickly. 601 00:29:49,080 --> 00:29:52,520 Speaker 11: So in the reinsurance market is easier, right, Like they 602 00:29:52,520 --> 00:29:55,320 Speaker 11: can reprice on an annual they can all reprice on an 603 00:29:55,320 --> 00:29:58,320 Speaker 11: annual basis. But there's less regulation in that market, so 604 00:29:58,320 --> 00:30:01,960 Speaker 11: they can they can write or not anywhere in the 605 00:30:01,960 --> 00:30:03,120 Speaker 11: world kind of where they want to. 606 00:30:03,800 --> 00:30:06,280 Speaker 3: All right, matt thanks lot, I really appreciate it. Matthew Palizowa, 607 00:30:06,320 --> 00:30:09,400 Speaker 3: Bloomerg Intelligence Senior ANALYSP and C Insurance. We didn't even 608 00:30:09,400 --> 00:30:11,280 Speaker 3: get to the cat bond market but apparently there were 609 00:30:11,360 --> 00:30:14,240 Speaker 3: estimates that those catastrophic bonds would lose as much as 610 00:30:14,280 --> 00:30:17,360 Speaker 3: fifteen percent, and now that's been repriced as well, so 611 00:30:17,400 --> 00:30:20,000 Speaker 3: now maybe we're in single digit losses for that. 612 00:30:21,600 --> 00:30:25,480 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 613 00:30:25,560 --> 00:30:29,080 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 614 00:30:29,120 --> 00:30:31,880 Speaker 1: Auto with the Bloomberg Business app. You can also listen 615 00:30:32,000 --> 00:30:35,080 Speaker 1: live on Amazon Alexa from our flagship New York station, 616 00:30:35,480 --> 00:30:38,200 Speaker 1: Just Say Alexa play Bloomberg eleven. 617 00:30:37,960 --> 00:30:41,600 Speaker 5: Thirty, Alex Steel, Paul Sweeney live here in our Bloomberg 618 00:30:41,720 --> 00:30:44,240 Speaker 5: ARCTA Brooker's studio in New York City, or streaming live 619 00:30:44,280 --> 00:30:47,240 Speaker 5: on YouTube as well Bloomberg Radio Live. That's kind of 620 00:30:47,240 --> 00:30:48,960 Speaker 5: where you can find us there when you search, I'll 621 00:30:48,960 --> 00:30:50,600 Speaker 5: tell you it. In the world of M and A, 622 00:30:50,680 --> 00:30:52,840 Speaker 5: I'm not sure i'd want to be a banker today. 623 00:30:53,080 --> 00:30:55,480 Speaker 5: Maybe an M and A lawyer is something that would 624 00:30:55,520 --> 00:30:57,000 Speaker 5: be I think I bill by. 625 00:30:56,920 --> 00:30:57,760 Speaker 7: The hour and get paid. 626 00:30:57,880 --> 00:31:01,240 Speaker 5: Or any trust lawyer, any trustler. Boom, because this FTC 627 00:31:01,440 --> 00:31:04,200 Speaker 5: is no joke under President Biden. At Lena Khan, who 628 00:31:04,200 --> 00:31:07,720 Speaker 5: heads this Federal Trade Commission. She is tough and she 629 00:31:07,840 --> 00:31:09,960 Speaker 5: is a subject of our Big Take story today. Lena 630 00:31:10,040 --> 00:31:13,640 Speaker 5: Khan has plenty more targets if she gets another term. 631 00:31:13,760 --> 00:31:15,720 Speaker 5: Joining us is Max Chafkin. He's a senior reporter for 632 00:31:15,760 --> 00:31:18,840 Speaker 5: Bloomberg BusinessWeek, and the story does appear in Bloomberg BusinessWeek 633 00:31:19,200 --> 00:31:23,360 Speaker 5: this week. It's his co author's Josh Idelsen Max Chafkins 634 00:31:23,400 --> 00:31:25,720 Speaker 5: with this year, Max talk to us about Lena Khan. 635 00:31:25,960 --> 00:31:29,840 Speaker 5: Who is she and how does she view the FTC 636 00:31:30,040 --> 00:31:33,680 Speaker 5: as perhaps a check on consolidation and number of industries. 637 00:31:33,760 --> 00:31:36,320 Speaker 10: Yeah, Lena Khan is a really interesting figure in the 638 00:31:36,360 --> 00:31:39,000 Speaker 10: Biden administration but also as a political figure today. 639 00:31:39,120 --> 00:31:39,920 Speaker 8: She's very young. 640 00:31:40,000 --> 00:31:43,520 Speaker 10: She's the youngest ever FTC chair at age thirty five. 641 00:31:44,360 --> 00:31:46,680 Speaker 10: She also, you know, she sometimes described as an academic, 642 00:31:47,000 --> 00:31:49,400 Speaker 10: but her academic career was very brief. She basically went 643 00:31:49,480 --> 00:31:52,280 Speaker 10: almost straight from law school to this position. And she 644 00:31:52,400 --> 00:31:56,160 Speaker 10: became kind of famous for writing this article in twenty 645 00:31:56,200 --> 00:31:59,600 Speaker 10: seventeen arguing that, you know, regulators need to look at 646 00:31:59,640 --> 00:32:03,560 Speaker 10: Anti Tree different differently, in particular in relation to Amazon. 647 00:32:03,920 --> 00:32:07,000 Speaker 8: So in the past most people said. 648 00:32:06,920 --> 00:32:10,000 Speaker 10: Hey, if prices are going down, that's good for consumers, 649 00:32:10,160 --> 00:32:12,280 Speaker 10: No need to worry about it, Leni Khan argued in 650 00:32:12,360 --> 00:32:16,440 Speaker 10: this paper that there are other costs of having Amazon 651 00:32:16,520 --> 00:32:20,320 Speaker 10: dominate so many industries, cost to businesses, other smaller businesses, 652 00:32:20,520 --> 00:32:23,280 Speaker 10: cost to labor, and maybe ultimately cost to consumers. 653 00:32:23,480 --> 00:32:25,160 Speaker 8: And that view. 654 00:32:25,080 --> 00:32:28,160 Speaker 10: Has kind of powered this new movement that has scrutinized 655 00:32:28,440 --> 00:32:30,320 Speaker 10: a lot of the big tech companies. We've seen anti 656 00:32:30,320 --> 00:32:34,200 Speaker 10: trust actions against you know, Google and Apple and Amazon 657 00:32:34,400 --> 00:32:37,680 Speaker 10: and as well as as you're saying, a level of 658 00:32:37,680 --> 00:32:41,200 Speaker 10: scrutiny on mergers that that feels new, that feels somewhat 659 00:32:41,200 --> 00:32:42,400 Speaker 10: different from the past. 660 00:32:42,560 --> 00:32:43,280 Speaker 2: That's so interesting. 661 00:32:43,320 --> 00:32:45,000 Speaker 3: I love the way you phrase that. So we usually 662 00:32:45,040 --> 00:32:46,920 Speaker 3: think about it as does it hurt consumers? And now 663 00:32:46,920 --> 00:32:50,040 Speaker 3: we're thinking about hurting in a much broader sense. So 664 00:32:50,240 --> 00:32:52,560 Speaker 3: if if we get a Harris or Trump. 665 00:32:52,320 --> 00:32:54,600 Speaker 2: Well we're gonna get one of them. So does that. 666 00:32:54,600 --> 00:32:56,840 Speaker 3: Change because one can make an argument that I'm sure 667 00:32:56,880 --> 00:33:00,200 Speaker 3: Wall Street is pressing the Harris camp to all so 668 00:33:00,600 --> 00:33:02,240 Speaker 3: have changes at the FTC. 669 00:33:02,600 --> 00:33:03,080 Speaker 8: Yeah. 670 00:33:03,120 --> 00:33:04,960 Speaker 10: My co writer on this, Josh Eidelson, and I spent 671 00:33:05,040 --> 00:33:07,720 Speaker 10: a lot of time talking to various you know, donor 672 00:33:07,800 --> 00:33:10,360 Speaker 10: types and people who are pushing for various things. And 673 00:33:10,400 --> 00:33:13,440 Speaker 10: what you learn is that the people who seem to 674 00:33:13,480 --> 00:33:18,080 Speaker 10: be most vocal right now are sort of centrist Democrats 675 00:33:18,080 --> 00:33:20,960 Speaker 10: and centrist Republicans, both of those, both of those groups 676 00:33:20,960 --> 00:33:23,120 Speaker 10: the kind of who represents sort of what you might 677 00:33:23,160 --> 00:33:25,840 Speaker 10: think of as like the normal kind of corporate consensus, 678 00:33:25,840 --> 00:33:28,760 Speaker 10: the way that a lot of people thought about how 679 00:33:28,800 --> 00:33:31,920 Speaker 10: government should relate to business over the last forty years 680 00:33:32,000 --> 00:33:32,160 Speaker 10: or so. 681 00:33:32,480 --> 00:33:33,240 Speaker 8: They all are. 682 00:33:33,200 --> 00:33:35,040 Speaker 10: Kind of against Lena con in one way or another. 683 00:33:35,080 --> 00:33:38,400 Speaker 10: You've seen a lot of angry, very angry Silicon Valley 684 00:33:38,400 --> 00:33:41,160 Speaker 10: types saying that she's you know, destroying M and A, 685 00:33:41,280 --> 00:33:43,640 Speaker 10: destroying the venture capital industry and so on, and you're 686 00:33:43,640 --> 00:33:44,880 Speaker 10: seeing that kind of thing. 687 00:33:44,840 --> 00:33:47,040 Speaker 8: From sort of chamber of commerce Republican types. 688 00:33:47,240 --> 00:33:50,600 Speaker 10: Now where you see support is kind of the squad, 689 00:33:50,400 --> 00:33:53,960 Speaker 10: the sort of progressive left that likes Lena Khan because. 690 00:33:53,680 --> 00:33:54,600 Speaker 8: She's pro union. 691 00:33:55,040 --> 00:33:58,280 Speaker 10: There's also some support from some corners of Silicon Valley, 692 00:33:58,480 --> 00:34:01,000 Speaker 10: the parts of Silicon Valley that maybe are mad about 693 00:34:01,040 --> 00:34:03,920 Speaker 10: Google and Amazon being so dominant. And then on the 694 00:34:04,040 --> 00:34:07,959 Speaker 10: right you actually see support as well, because sort of 695 00:34:08,000 --> 00:34:12,080 Speaker 10: like the trumpest right, the MAGA right, jd Vance types, 696 00:34:12,160 --> 00:34:15,160 Speaker 10: the sort of young Trump supporters who tend to be 697 00:34:15,239 --> 00:34:19,440 Speaker 10: really mad about tech dominance and also have somewhat populist 698 00:34:19,560 --> 00:34:23,239 Speaker 10: views on business and on how government should should relate 699 00:34:23,280 --> 00:34:23,720 Speaker 10: to business. 700 00:34:23,920 --> 00:34:27,640 Speaker 5: Do we have any idea how Vice President Harris feels 701 00:34:27,640 --> 00:34:30,400 Speaker 5: about Lena Khan in this FTC She has. 702 00:34:30,320 --> 00:34:32,520 Speaker 8: Been studiously vague. 703 00:34:32,600 --> 00:34:36,239 Speaker 10: I would say I think the closest sign we have 704 00:34:36,400 --> 00:34:40,719 Speaker 10: is this the price gouging proposal, Because so Harris announced 705 00:34:40,719 --> 00:34:43,719 Speaker 10: that she was going to have the FTC crackdown on 706 00:34:43,800 --> 00:34:46,960 Speaker 10: price gouging by grocery stores. That would be an expansion 707 00:34:46,960 --> 00:34:49,799 Speaker 10: of the FTC's authority. We asked Lena Khan about this, 708 00:34:49,920 --> 00:34:53,040 Speaker 10: and you know, her answer was somewhat careful and political, 709 00:34:53,040 --> 00:34:55,520 Speaker 10: but essentially was like, hey, I'm open to it, and 710 00:34:55,600 --> 00:34:57,600 Speaker 10: she made clear, you know, she would like to serve 711 00:34:57,640 --> 00:35:00,000 Speaker 10: another term. She feels there is a lot of work 712 00:35:00,120 --> 00:35:02,319 Speaker 10: to be done, and you've seen over the last few 713 00:35:02,320 --> 00:35:04,880 Speaker 10: months the FTC has been very active. I think they 714 00:35:04,880 --> 00:35:06,280 Speaker 10: will continue to be very active. 715 00:35:07,120 --> 00:35:10,000 Speaker 3: We heard Jamie Diamond speak with Lisa Brahmins earlier this week, 716 00:35:10,239 --> 00:35:13,279 Speaker 3: CEO of JP Morgan very much again saying who thinks 717 00:35:13,280 --> 00:35:15,160 Speaker 3: that CEOs should have a seat at the table? That 718 00:35:15,239 --> 00:35:18,080 Speaker 3: like half the cabinet should be probably overdid it, but 719 00:35:18,320 --> 00:35:20,960 Speaker 3: half the cabinet should be CEOs and so I'm just 720 00:35:21,080 --> 00:35:25,400 Speaker 3: wondering how that plays in to an FTC that is 721 00:35:25,480 --> 00:35:28,000 Speaker 3: more aggressive against company mergers, like will there be a 722 00:35:28,040 --> 00:35:29,320 Speaker 3: relationship to be had. 723 00:35:29,760 --> 00:35:31,799 Speaker 10: I mean, the most interesting thing to me about the 724 00:35:31,840 --> 00:35:34,920 Speaker 10: Biden administration has been in years past. You know, I 725 00:35:35,040 --> 00:35:37,800 Speaker 10: typically cover Silicon Valley, and when Silicon Valley would say 726 00:35:38,200 --> 00:35:41,320 Speaker 10: this person is anti tech, this politician anti tech, that 727 00:35:41,320 --> 00:35:43,880 Speaker 10: would provoke a reaction because no politician wants to be 728 00:35:43,920 --> 00:35:46,360 Speaker 10: seen as anti tech or hasn't been. And the difference 729 00:35:46,400 --> 00:35:48,760 Speaker 10: with Biden, and I think to some extent the difference 730 00:35:48,800 --> 00:35:51,359 Speaker 10: with Trump, is both of them have been comfortable with that. 731 00:35:51,600 --> 00:35:54,240 Speaker 10: They say, you want to be mad at me billionaires, Okay, 732 00:35:54,440 --> 00:35:55,719 Speaker 10: you know that's good politics. 733 00:35:55,719 --> 00:35:57,719 Speaker 8: I'm a populist. People tend to like that. 734 00:35:57,960 --> 00:36:00,160 Speaker 10: And we actually heard that, And there's some quote in 735 00:36:00,239 --> 00:36:02,360 Speaker 10: this story of this effect, like you know, Reid. 736 00:36:02,200 --> 00:36:04,399 Speaker 8: Hoffmann speaking out against Lena Khan. 737 00:36:04,680 --> 00:36:06,759 Speaker 10: There are people on the left who think he is 738 00:36:06,840 --> 00:36:09,040 Speaker 10: doing Lena Khan a huge favor because he's gonna make 739 00:36:09,080 --> 00:36:12,959 Speaker 10: it very hard politically to fire her. And I think 740 00:36:13,000 --> 00:36:15,680 Speaker 10: this position, the position you're hearing from Jamie Diamond and 741 00:36:15,760 --> 00:36:18,200 Speaker 10: from lots of people in kind of the centrist, kind 742 00:36:18,239 --> 00:36:19,640 Speaker 10: of traditional, you know. 743 00:36:19,600 --> 00:36:20,440 Speaker 8: Corporate roles. 744 00:36:21,160 --> 00:36:23,680 Speaker 10: I don't know how popular it is politically. The the 745 00:36:24,840 --> 00:36:27,520 Speaker 10: ideas that are on the ascent are really populist ideas 746 00:36:27,520 --> 00:36:28,840 Speaker 10: and you're seeing that on both sides. 747 00:36:29,320 --> 00:36:30,680 Speaker 7: And it's not just Lena Khan. 748 00:36:31,320 --> 00:36:33,880 Speaker 5: You know, you look at the Department of Justice, you're 749 00:36:33,920 --> 00:36:36,680 Speaker 5: reporting your your piece here, they're taking a tough rule 750 00:36:37,120 --> 00:36:41,440 Speaker 5: against Google, for example, Apple SEC chairman Garagant to pushing 751 00:36:41,480 --> 00:36:42,120 Speaker 5: back on crypto. 752 00:36:42,360 --> 00:36:44,040 Speaker 7: So this is not just a Lena Khan thing. 753 00:36:44,120 --> 00:36:44,960 Speaker 8: No, absolutely not. 754 00:36:45,120 --> 00:36:47,279 Speaker 10: And I think, yeah, Jonathan Kanter, who's the head of 755 00:36:47,280 --> 00:36:51,440 Speaker 10: Anti Trust that the DOJ, Gary Gensler, you said SEC. 756 00:36:52,239 --> 00:36:54,759 Speaker 8: It is Lena Khan has come to symbolize something. 757 00:36:54,760 --> 00:36:57,560 Speaker 10: And I think that it's partly because of her youth 758 00:36:57,800 --> 00:36:59,600 Speaker 10: and and because of who she is and where she 759 00:36:59,640 --> 00:37:03,160 Speaker 10: comes from. She's not a conventional Washington figure in any way. 760 00:37:03,360 --> 00:37:06,720 Speaker 10: And also because you get this attitude that she doesn't care. 761 00:37:07,120 --> 00:37:10,080 Speaker 8: That and that can rub people the wrong way. And 762 00:37:10,120 --> 00:37:11,920 Speaker 8: I think it does rub people the wrong way. 763 00:37:11,920 --> 00:37:15,000 Speaker 10: When you talk to business people, they are mad about policy, 764 00:37:15,040 --> 00:37:17,359 Speaker 10: but they are also mad about tone, and I think 765 00:37:17,400 --> 00:37:20,400 Speaker 10: that is some of what they're reacting to. And but 766 00:37:20,480 --> 00:37:22,760 Speaker 10: of course that has its that has a political upside. 767 00:37:22,760 --> 00:37:26,840 Speaker 10: We saw yesterday AOC coming out really swinging in favor 768 00:37:26,880 --> 00:37:29,640 Speaker 10: of Lena Khan after Mark Cuban made some comments, he 769 00:37:29,640 --> 00:37:31,600 Speaker 10: made some similar comments to us that we put in 770 00:37:31,600 --> 00:37:34,640 Speaker 10: our story, but essentially criticizing Lena con AOC, saying it's 771 00:37:34,640 --> 00:37:36,720 Speaker 10: going to be an all out brawl if you wanna, 772 00:37:37,680 --> 00:37:40,760 Speaker 10: if anyone wants to remove her. So I think this 773 00:37:40,960 --> 00:37:45,280 Speaker 10: will be an interesting political issue whoever is elected in November. 774 00:37:45,400 --> 00:37:48,160 Speaker 3: All right, Max, thanks lot, really appreciate it. Max Chafkin, 775 00:37:48,200 --> 00:37:50,279 Speaker 3: a Bloomberg at BusinessWeek senior reporter, this. 776 00:37:50,239 --> 00:37:51,120 Speaker 2: Is the big take piece. 777 00:37:51,280 --> 00:37:52,880 Speaker 3: You can check it out on Blueberg business Week and 778 00:37:52,920 --> 00:37:56,520 Speaker 3: also a big take on the Bloomberg terminal. Really good stuff. 779 00:37:56,560 --> 00:37:58,560 Speaker 3: It's gonna be so fascinating. And if you're, you know, 780 00:37:58,560 --> 00:38:00,160 Speaker 3: a CEO, do you want to get into the M 781 00:38:00,160 --> 00:38:01,799 Speaker 3: and A line and just kind of wait there or 782 00:38:01,800 --> 00:38:03,479 Speaker 3: do you want to wait and see what happens after 783 00:38:03,520 --> 00:38:04,960 Speaker 3: November and what happens to Lena Cohn? 784 00:38:05,080 --> 00:38:05,960 Speaker 2: Like what's your strategy? 785 00:38:05,960 --> 00:38:06,120 Speaker 3: You know? 786 00:38:06,200 --> 00:38:08,600 Speaker 5: Yeah, it seems like we talk to Jenri who's anti 787 00:38:08,680 --> 00:38:12,280 Speaker 5: trust analyst at Bloomberg Intelligence, seemingly almost every week about 788 00:38:12,280 --> 00:38:14,040 Speaker 5: every deal that gets announced, we got to go to 789 00:38:14,120 --> 00:38:15,080 Speaker 5: jenary and say, are these right? 790 00:38:15,080 --> 00:38:15,200 Speaker 1: There? 791 00:38:15,320 --> 00:38:16,319 Speaker 7: Is going to let this thing go? 792 00:38:16,480 --> 00:38:18,720 Speaker 3: Ito's busier George Ferguson or Jenri exactly? 793 00:38:18,960 --> 00:38:20,759 Speaker 2: I don't know. I think it's a toss up at 794 00:38:20,760 --> 00:38:21,160 Speaker 2: this point. 795 00:38:22,680 --> 00:38:26,560 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 796 00:38:26,640 --> 00:38:30,160 Speaker 1: weekdays at ten am Eastern on applecard Play and Android 797 00:38:30,200 --> 00:38:33,360 Speaker 1: Otto with the Bloomberg Business. You can also listen live 798 00:38:33,440 --> 00:38:36,640 Speaker 1: on Amazon Alexa from our flagship New York station. Just 799 00:38:36,680 --> 00:38:39,320 Speaker 1: say Alexa play Bloomberg eleven thirty. 800 00:38:40,800 --> 00:38:42,200 Speaker 2: This is Bloomberg Intelligence Radio. 801 00:38:42,239 --> 00:38:43,959 Speaker 3: We bring you all the top news, not about lice 802 00:38:44,040 --> 00:38:46,600 Speaker 3: or Amazon, but other stuff too through our lens of 803 00:38:46,600 --> 00:38:49,120 Speaker 3: our Bloomberg Intelligence folks. They cover two thousand companies one 804 00:38:49,200 --> 00:38:52,160 Speaker 3: hundred and thirty industries around the world. Tim Craighead joins 805 00:38:52,200 --> 00:38:55,160 Speaker 3: us now from Bloomberg Intelligence. He's a global chief content officer. 806 00:38:55,200 --> 00:38:57,960 Speaker 3: He has his eyes on everything and they have a 807 00:38:58,000 --> 00:39:00,880 Speaker 3: great note out that talks about ten companies to watch 808 00:39:00,960 --> 00:39:04,080 Speaker 3: in the fourth quarter. All right, can you pick your 809 00:39:04,120 --> 00:39:04,799 Speaker 3: favorite like. 810 00:39:04,760 --> 00:39:05,200 Speaker 2: I have ones. 811 00:39:05,200 --> 00:39:06,839 Speaker 3: I want to ask you about, Tim, but you pick 812 00:39:06,880 --> 00:39:08,239 Speaker 3: your favorite and let's start there. 813 00:39:09,080 --> 00:39:11,640 Speaker 12: Well, you guys are talking about talking to your bartender 814 00:39:11,920 --> 00:39:15,399 Speaker 12: and your Amazon driver. You're going to do that after 815 00:39:15,440 --> 00:39:17,200 Speaker 12: you visit truly even better. 816 00:39:19,200 --> 00:39:22,040 Speaker 2: All right, So what's that company and why? 817 00:39:22,120 --> 00:39:25,080 Speaker 12: So you know, just to put context, this list of 818 00:39:25,120 --> 00:39:29,000 Speaker 12: ten are all focus ideas of ours. So companies where 819 00:39:29,040 --> 00:39:31,080 Speaker 12: we have a high conviction view that we think is 820 00:39:31,120 --> 00:39:33,720 Speaker 12: different from what the market thinks. And there's catalyst ahead. 821 00:39:34,160 --> 00:39:39,799 Speaker 12: True Leave is a marijuana grower and a distributor. They 822 00:39:39,800 --> 00:39:42,200 Speaker 12: have stores. Seventy percent of their stores are in Florida, 823 00:39:42,880 --> 00:39:49,520 Speaker 12: and Florida has on the referendum this November the potential 824 00:39:49,520 --> 00:39:52,520 Speaker 12: for legalization for recreational use. It would be a big 825 00:39:52,560 --> 00:39:54,600 Speaker 12: deal for Truely if this were to come through. 826 00:39:55,280 --> 00:39:56,800 Speaker 7: Yeah, I'm maybe Florida a huge market. 827 00:39:56,880 --> 00:39:58,920 Speaker 5: And you know what I recognized when we went over 828 00:39:58,920 --> 00:40:01,200 Speaker 5: to Ireland, coupic Scope, they don't do the gummy thing 829 00:40:01,239 --> 00:40:01,640 Speaker 5: over there. 830 00:40:01,840 --> 00:40:04,279 Speaker 7: They don't have the weed thing. They're gonna get on 831 00:40:04,320 --> 00:40:04,600 Speaker 7: board there. 832 00:40:04,640 --> 00:40:08,480 Speaker 2: They maybe that's they don't really need to that. 833 00:40:08,600 --> 00:40:10,399 Speaker 12: They just go to New York and then they come 834 00:40:10,440 --> 00:40:10,879 Speaker 12: back to. 835 00:40:11,120 --> 00:40:12,560 Speaker 7: Exact Ireland exactly. 836 00:40:12,920 --> 00:40:14,959 Speaker 5: Anti Sports talk to us about that because I feel 837 00:40:14,960 --> 00:40:17,400 Speaker 5: like I know they're an Asian company, so I'm assuming 838 00:40:17,400 --> 00:40:20,760 Speaker 5: this has a China call to it. 839 00:40:20,760 --> 00:40:24,560 Speaker 12: It does with an interesting twist. Anta is a is 840 00:40:24,600 --> 00:40:27,200 Speaker 12: a sports wear company. They have a number of brands. 841 00:40:27,640 --> 00:40:30,120 Speaker 12: I think when I've been on your show before, you 842 00:40:30,200 --> 00:40:34,840 Speaker 12: may have seen that I've had an Arctics best on. 843 00:40:35,080 --> 00:40:40,080 Speaker 5: Tim is like an extreme biker, climber hiker, all the stuff. 844 00:40:39,800 --> 00:40:41,560 Speaker 2: That I just have good for you. 845 00:40:42,000 --> 00:40:44,839 Speaker 12: I got nothing on that, But no Arctics is owned 846 00:40:44,880 --> 00:40:48,359 Speaker 12: by Anta. But the reason why Anta is on here 847 00:40:48,440 --> 00:40:50,759 Speaker 12: is twofold number one. Do have a lot of things 848 00:40:50,800 --> 00:40:52,960 Speaker 12: going on from the standpoint of driving their business with 849 00:40:53,040 --> 00:40:59,000 Speaker 12: various brands, and the Olympics playthrough will get results when 850 00:40:59,000 --> 00:41:02,560 Speaker 12: they report next in terms of how good it's been. 851 00:41:02,719 --> 00:41:07,879 Speaker 12: The China national team were anti sports kit. But it's 852 00:41:07,920 --> 00:41:11,680 Speaker 12: also a case. You've seen lots of news about Adidas 853 00:41:11,840 --> 00:41:14,600 Speaker 12: and Nike and how they're trying to get their inventory 854 00:41:14,680 --> 00:41:19,600 Speaker 12: under control. That's making pricing better for sports where generally, 855 00:41:19,719 --> 00:41:23,240 Speaker 12: and we think that that's playing through into anti sports 856 00:41:23,239 --> 00:41:25,080 Speaker 12: margins as a corollary. 857 00:41:25,400 --> 00:41:27,880 Speaker 3: That's interesting when you compare it to like say Nike, 858 00:41:27,960 --> 00:41:30,680 Speaker 3: I understand that they do different things, but still you've 859 00:41:30,760 --> 00:41:35,040 Speaker 3: also on here, so this is basically straight up railroad stock. 860 00:41:35,640 --> 00:41:36,640 Speaker 2: Why do you guys like this one. 861 00:41:37,520 --> 00:41:39,919 Speaker 12: Well, there's two things here. If you were to look 862 00:41:40,040 --> 00:41:43,439 Speaker 12: at a three year, five year type chart, you would 863 00:41:43,480 --> 00:41:47,799 Speaker 12: see that this company has gone through some problems. They 864 00:41:47,840 --> 00:41:51,400 Speaker 12: had a big right off and problem that was announced 865 00:41:51,440 --> 00:41:55,120 Speaker 12: a year or so ago, stock had collapsed. That's been 866 00:41:55,280 --> 00:41:58,280 Speaker 12: settled and they're on the right track. No pun intended 867 00:41:58,920 --> 00:42:03,399 Speaker 12: at this point. But importantly, there is a new European 868 00:42:03,800 --> 00:42:08,480 Speaker 12: union wide signaling system that's coming into place that is 869 00:42:09,239 --> 00:42:13,120 Speaker 12: meant to be reducing a lot of complication between different 870 00:42:13,160 --> 00:42:16,160 Speaker 12: countries and whatnot. And it's an Alstom system. And in 871 00:42:16,200 --> 00:42:19,719 Speaker 12: general the train businesses is running pretty well. We think 872 00:42:19,760 --> 00:42:21,120 Speaker 12: they're on a road for recovery. 873 00:42:22,239 --> 00:42:24,560 Speaker 5: Tim the biggest mark or one of the bigger market 874 00:42:24,560 --> 00:42:28,520 Speaker 5: cap names on your list is Saudi National Bank. And 875 00:42:28,600 --> 00:42:31,399 Speaker 5: I'll start with I know nothing about Saudi National Bank, 876 00:42:31,440 --> 00:42:33,000 Speaker 5: but it's fifty seven billion market cap. 877 00:42:33,120 --> 00:42:33,919 Speaker 7: What's the story there? 878 00:42:34,880 --> 00:42:37,520 Speaker 12: Yeah, you know, it's really interesting. And this is true 879 00:42:37,560 --> 00:42:40,520 Speaker 12: for Saudi National Bank, it's also true for some others 880 00:42:40,840 --> 00:42:47,360 Speaker 12: in the country. It's running contra to what most banks 881 00:42:47,480 --> 00:42:51,000 Speaker 12: are experiencing. I think there's been lots of news and 882 00:42:51,040 --> 00:42:54,240 Speaker 12: coverage and certainly we've written about the pressure coming ahead 883 00:42:54,320 --> 00:42:59,240 Speaker 12: for most banks with their net interest margins as interest 884 00:42:59,360 --> 00:43:03,000 Speaker 12: rates start to decline. You know, their their loan pricing 885 00:43:03,120 --> 00:43:05,640 Speaker 12: comes down, and you know that's not great for margins. 886 00:43:06,760 --> 00:43:10,280 Speaker 12: Saudi National Bank isn't is an interesting case. We're given 887 00:43:10,320 --> 00:43:14,319 Speaker 12: the nature of how their loans reprice versus their deposits 888 00:43:14,440 --> 00:43:18,040 Speaker 12: repricing they actually stand to see over the course of 889 00:43:18,080 --> 00:43:20,640 Speaker 12: the next six to twelve months, and then interest margin 890 00:43:20,760 --> 00:43:26,000 Speaker 12: growth and expansion, and so it's running counter given just 891 00:43:26,040 --> 00:43:31,160 Speaker 12: simply the nature of their asset and liability mix to 892 00:43:30,560 --> 00:43:34,239 Speaker 12: to normal bank profitability in the current cycle we're in. 893 00:43:34,360 --> 00:43:35,960 Speaker 12: So it's a really unusual story. 894 00:43:36,520 --> 00:43:38,400 Speaker 3: Okay, we got like a minute, can you do for 895 00:43:38,600 --> 00:43:41,759 Speaker 3: solar for me? Because that's gonna for me that's a 896 00:43:41,800 --> 00:43:44,680 Speaker 3: TVD based on what happens with the Inflation Reduction Act 897 00:43:44,680 --> 00:43:45,279 Speaker 3: here in the US. 898 00:43:45,280 --> 00:43:49,279 Speaker 12: But you tell me it absolutely is. I mean, we 899 00:43:49,320 --> 00:43:52,120 Speaker 12: all know that the election coming up is going to 900 00:43:52,480 --> 00:43:56,480 Speaker 12: have a lot of implications for what happens from energy 901 00:43:56,520 --> 00:44:01,239 Speaker 12: transition related spending and whatnot. That said, we're still going 902 00:44:01,320 --> 00:44:05,440 Speaker 12: to see solar panels as a renewable energy source continued 903 00:44:05,480 --> 00:44:10,239 Speaker 12: to grow. These guys are in the Catbird seat, so 904 00:44:10,360 --> 00:44:13,080 Speaker 12: to speak, from the standpoint of they have a dominant 905 00:44:13,120 --> 00:44:15,960 Speaker 12: position in the US. They've got good technology. Even though 906 00:44:16,000 --> 00:44:19,560 Speaker 12: the Chinese producers are bigger and lower cost with arguably 907 00:44:19,600 --> 00:44:23,800 Speaker 12: better technology, there's way too many restrictions for China product 908 00:44:23,880 --> 00:44:27,000 Speaker 12: to come into the States. And so for solar is 909 00:44:27,600 --> 00:44:29,920 Speaker 12: not you wouldn't say it's in a monopoly position, but 910 00:44:29,960 --> 00:44:33,680 Speaker 12: it's a very advantaged position. And almost regardless of what 911 00:44:33,800 --> 00:44:36,800 Speaker 12: happens with the IRA, we think that they've got winded 912 00:44:36,880 --> 00:44:39,879 Speaker 12: their back for better order growth. Going ahead, all. 913 00:44:39,840 --> 00:44:41,480 Speaker 3: Right, Tim, thanks a lot, super appreciate it. 914 00:44:41,480 --> 00:44:43,000 Speaker 2: Tim Kraig. We're gonna get you back because we got 915 00:44:43,000 --> 00:44:43,760 Speaker 2: through what fine. 916 00:44:43,600 --> 00:44:45,400 Speaker 7: Yeah, we're going to get back. Yeah to New York. 917 00:44:45,480 --> 00:44:46,319 Speaker 7: We need to get into New York. 918 00:44:46,760 --> 00:44:48,000 Speaker 2: You want to play, but Mark, let's go back. 919 00:44:48,000 --> 00:44:49,480 Speaker 3: We'll do the other five, all right, Tim Craig kad 920 00:44:49,520 --> 00:44:52,960 Speaker 3: Bloomberg Intelligence a global Chief Content officer, joining us there 921 00:44:52,960 --> 00:44:55,200 Speaker 3: on companies to watch in the fourth quarter. 922 00:44:55,600 --> 00:44:59,920 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apples, Potify, 923 00:45:00,320 --> 00:45:03,520 Speaker 1: and anywhere else you get your podcasts. Listen live each 924 00:45:03,520 --> 00:45:06,920 Speaker 1: weekday ten am to noon Eastern on Bloomberg dot Com, 925 00:45:07,000 --> 00:45:10,399 Speaker 1: the iHeartRadio app tune in, and the Bloomberg Business App. 926 00:45:10,520 --> 00:45:13,560 Speaker 1: You can also watch us live every weekday on YouTube 927 00:45:13,760 --> 00:45:15,640 Speaker 1: and always on the Bloomberg terminal