1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,560 Speaker 1: at Bloomberg dot com slash podcast. All right, so we've 7 00:00:21,560 --> 00:00:24,919 Speaker 1: got some mid term elections tomorrow. A lot of key 8 00:00:24,960 --> 00:00:28,960 Speaker 1: states are having some some big races. Here Bloomberg, we'd 9 00:00:29,000 --> 00:00:31,920 Speaker 1: like to talk about the political side in the context 10 00:00:31,920 --> 00:00:35,160 Speaker 1: of the impacts on markets. So we bring in Cameron 11 00:00:35,200 --> 00:00:38,400 Speaker 1: christ He's a macro strategist for Bloomberg News. So Cameron, 12 00:00:38,640 --> 00:00:42,520 Speaker 1: you know you're looking across the markets here broadly defined. 13 00:00:43,159 --> 00:00:48,040 Speaker 1: How are you kind of handicapping this midterm election as 14 00:00:48,040 --> 00:00:50,640 Speaker 1: it relates to markets. Are you thinking traders are putting 15 00:00:50,640 --> 00:00:52,560 Speaker 1: on any bets? Is it a wait and see type 16 00:00:52,560 --> 00:00:55,360 Speaker 1: of thing? What are you hearing? Yeah? I think it's 17 00:00:56,240 --> 00:00:58,840 Speaker 1: I mean, it's tough because there's so much going on 18 00:00:58,920 --> 00:01:02,319 Speaker 1: outside of the of the US political sphere. Um as 19 00:01:02,320 --> 00:01:05,600 Speaker 1: you alluded to, We've got CPI later this week, and 20 00:01:05,640 --> 00:01:07,960 Speaker 1: there's also the China stuff. I mean, people seem to 21 00:01:08,000 --> 00:01:13,160 Speaker 1: be getting excited about the prospect of China reopening, even 22 00:01:13,200 --> 00:01:17,640 Speaker 1: though domestically, you know, there are still officially denying that 23 00:01:17,640 --> 00:01:21,400 Speaker 1: that's imminent, and COVID cases in China are are rising. 24 00:01:21,440 --> 00:01:24,080 Speaker 1: So it's it's kind of tough to sort of just 25 00:01:24,200 --> 00:01:28,679 Speaker 1: pick out the isolated impact of mid terms. Um, insofar 26 00:01:28,680 --> 00:01:34,560 Speaker 1: as you can. I guess there's this idea that, um, 27 00:01:34,840 --> 00:01:39,759 Speaker 1: that a switch in in the House would be kind 28 00:01:39,800 --> 00:01:44,759 Speaker 1: of positive for the stock market. UM. I'm not sure 29 00:01:44,800 --> 00:01:48,120 Speaker 1: how plausible that is. I think generally speaking, people tend 30 00:01:48,200 --> 00:01:54,480 Speaker 1: to overestimate the significance of individual political actors in driving 31 00:01:55,120 --> 00:01:59,200 Speaker 1: economic and certainly financial market returns. Now, obviously there are 32 00:01:59,240 --> 00:02:02,600 Speaker 1: exceptions to that we've seen in the UK this year. Uh, 33 00:02:02,640 --> 00:02:08,519 Speaker 1: But broadly speaking, UM, I mean, is the is the 34 00:02:08,600 --> 00:02:13,400 Speaker 1: US economy gonna look radically different depending on who wins 35 00:02:13,600 --> 00:02:17,480 Speaker 1: the House uh tomorrow? You know, is it gonna look 36 00:02:17,560 --> 00:02:21,799 Speaker 1: radically different over the next two years? Arguably not that 37 00:02:21,880 --> 00:02:26,360 Speaker 1: much different. Cam. So, I was just sitting on set 38 00:02:26,360 --> 00:02:28,440 Speaker 1: with John Farrow from nine to ten AM, and I 39 00:02:28,520 --> 00:02:32,040 Speaker 1: loved the question that he asked. Morgan Stanley's Mike Wilson 40 00:02:32,080 --> 00:02:34,000 Speaker 1: I want to ask you the same question. If you 41 00:02:34,040 --> 00:02:37,480 Speaker 1: could know the outcome of the midterm elections, or you 42 00:02:37,520 --> 00:02:40,839 Speaker 1: could know what this week's CPI reading would be, which 43 00:02:40,840 --> 00:02:44,760 Speaker 1: one would you pay without a doubt CPI without a doubt. 44 00:02:44,840 --> 00:02:47,440 Speaker 1: That's actually not what Mike Wilson said. Why would you 45 00:02:47,520 --> 00:02:49,959 Speaker 1: rather know cp I? Because you know, as I just said, 46 00:02:50,000 --> 00:02:52,800 Speaker 1: I I really don't think it matters UM who gets 47 00:02:52,840 --> 00:02:56,760 Speaker 1: in UH to to to Congress. I really don't. I mean, 48 00:02:56,880 --> 00:02:59,880 Speaker 1: the the pattern there is a quite a strong path 49 00:03:00,000 --> 00:03:03,919 Speaker 1: earned based on the calendar UH in in in terms 50 00:03:04,040 --> 00:03:07,720 Speaker 1: of UM, the third year of a presidential term is 51 00:03:07,760 --> 00:03:12,040 Speaker 1: typically very very strong UH for the stock market. UM. 52 00:03:12,080 --> 00:03:15,120 Speaker 1: And that is kind of irrespective of who of who 53 00:03:15,160 --> 00:03:18,280 Speaker 1: of who gets in UM. I know, I know Wilson 54 00:03:18,400 --> 00:03:20,720 Speaker 1: thinks that it's it's going to be it's pretty supportive 55 00:03:20,720 --> 00:03:22,239 Speaker 1: of the stop mark in the near term if the 56 00:03:22,280 --> 00:03:24,440 Speaker 1: Republicans get in, so obviously, if he has that view, 57 00:03:24,440 --> 00:03:26,720 Speaker 1: and then that's what he wants to know. UH. And 58 00:03:27,120 --> 00:03:28,880 Speaker 1: I guess in the micro term, if people want to 59 00:03:28,880 --> 00:03:31,079 Speaker 1: get excited about the outcome of the election, whatever it 60 00:03:31,160 --> 00:03:33,040 Speaker 1: might be, then yeah, maybe you want to know that. 61 00:03:33,120 --> 00:03:36,520 Speaker 1: But again, I'm pretty skeptical that it matters very much 62 00:03:36,520 --> 00:03:40,160 Speaker 1: at all in the in the medium term. Um, so 63 00:03:40,560 --> 00:03:42,440 Speaker 1: I would rather know the CPI. I would rather know 64 00:03:42,480 --> 00:03:44,920 Speaker 1: the CBI number, even though as we saw on Friday, 65 00:03:44,920 --> 00:03:47,320 Speaker 1: and maybe that doesn't matter either. So I guess I 66 00:03:47,320 --> 00:03:49,120 Speaker 1: really want to know is one's China going to reopen? 67 00:03:49,200 --> 00:03:54,200 Speaker 1: If I can I canswer the question? Yeah please? Yeah, yeah, 68 00:03:54,600 --> 00:03:58,400 Speaker 1: all right? So Cameron, Um, you know, the CPI data 69 00:03:58,520 --> 00:04:00,200 Speaker 1: is on the Thursday, and obviously that will be a 70 00:04:00,240 --> 00:04:03,360 Speaker 1: key driver for these markets and handicapping what the Feds 71 00:04:03,360 --> 00:04:04,640 Speaker 1: are gonna do. But a lot of folks are saying, 72 00:04:04,680 --> 00:04:08,160 Speaker 1: you know, that's a backward looking, uh kind of measurement here. 73 00:04:08,200 --> 00:04:11,280 Speaker 1: What's what's your inflation call? Do you feel like it's peaked? 74 00:04:11,360 --> 00:04:13,440 Speaker 1: You feel like it's coming down? I mean, we heard 75 00:04:13,440 --> 00:04:16,080 Speaker 1: from Rich Truman, who produces Bloomberg Surveillance this morning that 76 00:04:16,120 --> 00:04:19,040 Speaker 1: his favorite pasta dish at his favorite restaurant from eighteen 77 00:04:19,080 --> 00:04:22,320 Speaker 1: bucks pre pandemic to thirty two dollars today. That's inflation. 78 00:04:22,720 --> 00:04:25,640 Speaker 1: How are you viewing inflation? Yeah, I mean, I mean 79 00:04:25,680 --> 00:04:29,240 Speaker 1: I have to sort of define the rules of engagement here. 80 00:04:29,520 --> 00:04:32,039 Speaker 1: If you're talking about the year on your change in 81 00:04:32,040 --> 00:04:36,160 Speaker 1: the headline CPI index. Then yeah, it's it's it's very 82 00:04:36,240 --> 00:04:41,640 Speaker 1: likely peaked. UM. If you're saying that if inflation is peaked, 83 00:04:41,680 --> 00:04:44,599 Speaker 1: that means that the marginal price changes are going to 84 00:04:44,640 --> 00:04:49,200 Speaker 1: get with with some rapidity, go back to levels of 85 00:04:49,240 --> 00:04:52,520 Speaker 1: the FED is comfortable with. I think that's that's that's 86 00:04:52,680 --> 00:04:57,240 Speaker 1: less likely. UM. For one, the shelter component UH tends 87 00:04:57,320 --> 00:05:00,320 Speaker 1: to lag. It's a big portion of c b I 88 00:05:00,720 --> 00:05:03,600 Speaker 1: PC partically on a core basis, UH, and that's going 89 00:05:03,640 --> 00:05:07,479 Speaker 1: to continue to push up inflation for you know, the 90 00:05:07,520 --> 00:05:10,440 Speaker 1: next few quarters. UM. Kind of regardless of what what 91 00:05:10,520 --> 00:05:13,560 Speaker 1: the housing market does, not just the nature of of 92 00:05:13,640 --> 00:05:17,080 Speaker 1: the beast UM. More generally, as long as the labor 93 00:05:17,120 --> 00:05:23,000 Speaker 1: market reminds tight services beyond the housing market are are 94 00:05:23,000 --> 00:05:25,720 Speaker 1: going to continue generating inflation because it's still tough to 95 00:05:25,760 --> 00:05:27,880 Speaker 1: get you know, it's still tough to get labor. I mean, 96 00:05:27,920 --> 00:05:31,480 Speaker 1: part of that pasta dish cost is. Yeah, the price 97 00:05:31,560 --> 00:05:33,520 Speaker 1: of the price of rigatoni has gone up. Part of 98 00:05:33,520 --> 00:05:35,640 Speaker 1: it's the price of bolon at sauce have gone up. 99 00:05:35,839 --> 00:05:39,120 Speaker 1: But part of it is because it's difficult to hire 100 00:05:39,120 --> 00:05:41,200 Speaker 1: people to cook the food and serve the food and 101 00:05:41,240 --> 00:05:43,760 Speaker 1: then clean the food up. Yep, that's kind of what 102 00:05:43,880 --> 00:05:46,320 Speaker 1: he was lamenting. But I mean, you've gotta feel for 103 00:05:46,360 --> 00:05:49,400 Speaker 1: a guy whose favorite pasta dish so much, so much 104 00:05:49,560 --> 00:05:51,640 Speaker 1: over the past few years. That's when he brings it, 105 00:05:51,720 --> 00:05:54,840 Speaker 1: brings it home. There, Camera Christ good stuff. They're appreciated 106 00:05:54,920 --> 00:05:59,360 Speaker 1: as always. Cameras a macro strategists for Bloomberg News comfortably 107 00:06:00,000 --> 00:06:03,640 Speaker 1: working from home. We might add so a great time too, Yeah, 108 00:06:03,720 --> 00:06:05,560 Speaker 1: I mean exactly. So, you know, I'm just looking at 109 00:06:05,600 --> 00:06:07,360 Speaker 1: these markets. It's kind of an odd day. Obviously, the 110 00:06:07,440 --> 00:06:10,719 Speaker 1: dollop you know, two points, that's a half of one percent, 111 00:06:10,800 --> 00:06:14,440 Speaker 1: whereas NASDAC still feeling the hangover. I think of the 112 00:06:14,800 --> 00:06:17,839 Speaker 1: earnings we saw, you know, last week, and now some 113 00:06:17,839 --> 00:06:20,720 Speaker 1: of these layoff announcements today. Uh, you know, I think 114 00:06:20,720 --> 00:06:23,360 Speaker 1: it's really calling into question kind of the growth story 115 00:06:23,520 --> 00:06:26,200 Speaker 1: underpinning that tech sector, maybe getting a little bit of 116 00:06:26,200 --> 00:06:32,799 Speaker 1: a rerating their mid term elections tomorrow, CPI Data Thursday. 117 00:06:32,880 --> 00:06:36,200 Speaker 1: Lots for this market to digest. In addition to continued earnings, 118 00:06:36,520 --> 00:06:39,400 Speaker 1: got Mickey Mouse's uh Walt Disney Company reporting after the 119 00:06:39,400 --> 00:06:42,359 Speaker 1: close tomorrow. Lots of cross currents there. Let's check in 120 00:06:42,400 --> 00:06:44,400 Speaker 1: with the professional who does this stuff for living. Hugh 121 00:06:44,520 --> 00:06:48,479 Speaker 1: Robert's head of analytics at quant Insights. Before that, he 122 00:06:48,520 --> 00:06:53,160 Speaker 1: did stints at Merrill Lynch, my former firm, Credit Swiss, 123 00:06:53,480 --> 00:06:55,680 Speaker 1: my former firm. You get a sense of what's going 124 00:06:55,720 --> 00:06:58,400 Speaker 1: on here, Hugh, Thanks so much for joining us here again. 125 00:06:58,480 --> 00:07:02,600 Speaker 1: Lots across currents out there, tons of underperformance no matter 126 00:07:02,600 --> 00:07:05,560 Speaker 1: where you look as a classes so far in two. 127 00:07:06,160 --> 00:07:10,080 Speaker 1: What are you telling clients these days? Yeah? I agree 128 00:07:10,120 --> 00:07:13,000 Speaker 1: totally with the lots of cross currents, and I think 129 00:07:13,040 --> 00:07:16,000 Speaker 1: what's jumping out off our models at the moment is 130 00:07:16,040 --> 00:07:19,400 Speaker 1: that now we've been pretty bearish on equities for most 131 00:07:19,440 --> 00:07:23,600 Speaker 1: of two. You know, the message from the power FED 132 00:07:23,600 --> 00:07:27,720 Speaker 1: about tightening financial conditions to fight inflation has been very 133 00:07:27,800 --> 00:07:31,160 Speaker 1: evident on our models, and we've seen a substantial move 134 00:07:31,240 --> 00:07:34,200 Speaker 1: in that direction. But even though we kind of got 135 00:07:34,400 --> 00:07:37,000 Speaker 1: Jackson hole two or whatever you want to label the 136 00:07:37,080 --> 00:07:41,920 Speaker 1: tone to last week's FED meeting ads, we haven't seen 137 00:07:43,400 --> 00:07:46,400 Speaker 1: the same move in terms of tightening financial conditions. If 138 00:07:46,440 --> 00:07:49,760 Speaker 1: you look at credit spreads, tighter real yields of stop 139 00:07:49,800 --> 00:07:53,160 Speaker 1: legging higher, the dollars come back a bit. Now, there 140 00:07:53,200 --> 00:07:55,600 Speaker 1: are indio some trastic stories at play. Even there you 141 00:07:55,600 --> 00:07:57,720 Speaker 1: know that the dollar move might be as much about 142 00:07:57,800 --> 00:08:01,160 Speaker 1: China reopening as it is about anything the estic us driven. 143 00:08:01,680 --> 00:08:04,880 Speaker 1: But the bottom line on our modeling is that the 144 00:08:04,920 --> 00:08:08,120 Speaker 1: tightening the financial conditions there has been a huge headwind 145 00:08:08,160 --> 00:08:10,880 Speaker 1: and the major driver of the equity by bear market. 146 00:08:10,960 --> 00:08:14,880 Speaker 1: In the last few months, they've stopped tightening and that 147 00:08:15,000 --> 00:08:17,800 Speaker 1: opens up a little bit of evaluation gap on our 148 00:08:17,840 --> 00:08:22,240 Speaker 1: models where you're starting to see US equity indices spoons 149 00:08:22,320 --> 00:08:24,760 Speaker 1: now is that there they are all cheap to macro 150 00:08:25,280 --> 00:08:28,480 Speaker 1: on the modeling that we've done. So that's probably the 151 00:08:28,480 --> 00:08:31,840 Speaker 1: most interesting thing that we're watching at the moment. So 152 00:08:31,880 --> 00:08:34,720 Speaker 1: talk to me about what cheap to macro means. Is 153 00:08:34,720 --> 00:08:38,480 Speaker 1: that a bi signal in your models? It is, yes, Sorry, 154 00:08:38,480 --> 00:08:39,960 Speaker 1: So it to be clear what we do is we 155 00:08:40,040 --> 00:08:43,079 Speaker 1: take a huge number of macro factors, but they fall 156 00:08:43,160 --> 00:08:46,760 Speaker 1: into three broad buckets. So it's economic fundamentals, that's levels 157 00:08:46,760 --> 00:08:52,560 Speaker 1: of growth, tracking GDP numbers, expectations around inflation. They fall 158 00:08:52,600 --> 00:08:55,679 Speaker 1: into a bucket that is kind of overall financial conditions 159 00:08:55,720 --> 00:08:57,760 Speaker 1: at the level of real yields, the slope of the 160 00:08:57,800 --> 00:09:01,880 Speaker 1: yield curve, how strong the dollar is, um what the 161 00:09:01,960 --> 00:09:04,200 Speaker 1: Fed might be doing in terms of tightening or easing, 162 00:09:04,320 --> 00:09:07,440 Speaker 1: both in terms of rates and the balance sheet. And 163 00:09:07,480 --> 00:09:09,800 Speaker 1: then the last big bucket would be measures of risk 164 00:09:09,800 --> 00:09:13,520 Speaker 1: appetites and stuff like vix um and then more traditional 165 00:09:13,600 --> 00:09:17,479 Speaker 1: measures like cold silver. But it's all those economic fundamentals, 166 00:09:17,480 --> 00:09:20,839 Speaker 1: financial conditions, risk appetite all rolled up to say, right, 167 00:09:21,280 --> 00:09:24,720 Speaker 1: given where all these macro variables are right here, right now, 168 00:09:25,360 --> 00:09:27,880 Speaker 1: fair value on spoons is X, on the net back 169 00:09:28,040 --> 00:09:32,440 Speaker 1: is y, etcetera. And because mainly because of the financial 170 00:09:32,480 --> 00:09:36,920 Speaker 1: condition side of that three legged kind of input, because 171 00:09:36,960 --> 00:09:39,520 Speaker 1: they've not actually tightened and actually come back a bit, 172 00:09:39,679 --> 00:09:42,840 Speaker 1: our model values actually tipped a little bit higher for 173 00:09:42,920 --> 00:09:45,640 Speaker 1: your sequity and disease while you've had this sell off 174 00:09:45,640 --> 00:09:48,000 Speaker 1: of the last couple of weeks. So that's opened up 175 00:09:48,040 --> 00:09:53,800 Speaker 1: a cheap valuation in our language. So I guess what 176 00:09:53,960 --> 00:09:56,240 Speaker 1: is your recession call here? I mean, I guess you 177 00:09:56,240 --> 00:09:59,199 Speaker 1: know there's definitely and over in Europe, you guys have 178 00:09:59,320 --> 00:10:03,120 Speaker 1: some real real economic challenges. What's your recession car for 179 00:10:03,160 --> 00:10:06,240 Speaker 1: the US? So we're not actually a traditional kind of 180 00:10:06,280 --> 00:10:09,079 Speaker 1: a macro forecasting shop. We don't have a call to say, 181 00:10:09,080 --> 00:10:11,520 Speaker 1: you know, the Eurozone is going to contract by this 182 00:10:11,760 --> 00:10:15,760 Speaker 1: much whereas the US might just engineer a softer landing. Um, 183 00:10:16,200 --> 00:10:19,240 Speaker 1: there's plenty of very clever economists out there and talking 184 00:10:19,280 --> 00:10:22,320 Speaker 1: heads who do that. What q I S value added 185 00:10:22,440 --> 00:10:25,360 Speaker 1: is we can tell you the market's reaction function to 186 00:10:25,440 --> 00:10:28,440 Speaker 1: those economic fundamentals. So if you were, for example, a 187 00:10:28,520 --> 00:10:31,240 Speaker 1: massive growth bear and you said Eurozone is going to 188 00:10:31,320 --> 00:10:34,400 Speaker 1: bear the brunt of it because of geographical proximity to 189 00:10:34,480 --> 00:10:37,640 Speaker 1: Russia and the energy crisis and everything else, we can 190 00:10:37,640 --> 00:10:39,760 Speaker 1: tell you, right, but it's had a long duration trade. 191 00:10:39,760 --> 00:10:43,200 Speaker 1: Should I be long buns? Should I be short the EUROFX? 192 00:10:43,679 --> 00:10:46,640 Speaker 1: Is it a short eurostock fifty play? Or which sector 193 00:10:46,679 --> 00:10:49,920 Speaker 1: within euros is it? So that's really more Our value 194 00:10:49,920 --> 00:10:54,440 Speaker 1: added is measuring the relationship between any financial security, bond, 195 00:10:54,520 --> 00:11:00,000 Speaker 1: currency equity, whatever it may be, and the macro environment. 196 00:11:00,120 --> 00:11:02,079 Speaker 1: But we're not a shop that's going to turn around 197 00:11:02,080 --> 00:11:05,960 Speaker 1: and say three U s GDP is going to be 198 00:11:06,040 --> 00:11:08,360 Speaker 1: this euro presenting GDP is going to be that. All right, 199 00:11:08,400 --> 00:11:10,640 Speaker 1: Well you're based and looking at the Bloomber turnal fifty 200 00:11:10,679 --> 00:11:14,319 Speaker 1: Liverpool Street, is that right where we were? Yet we're 201 00:11:14,360 --> 00:11:17,200 Speaker 1: London based, Yeah, yeah, So what's it like in the 202 00:11:17,280 --> 00:11:19,600 Speaker 1: city of London these days? It's you know, three thirty 203 00:11:19,679 --> 00:11:22,360 Speaker 1: a p m. There you went out for lunch, presumably. 204 00:11:22,960 --> 00:11:26,840 Speaker 1: How are the streets of London the prett marmang airs 205 00:11:26,880 --> 00:11:29,800 Speaker 1: for example. Yeah, well there's a there's a very rude 206 00:11:29,800 --> 00:11:32,920 Speaker 1: acronym that I can't repeat live on air. But most 207 00:11:32,920 --> 00:11:36,520 Speaker 1: people have turned into Tuesday, Wednesday, Thursday working from the 208 00:11:36,559 --> 00:11:40,240 Speaker 1: office and Monday and Friday from home, So Monday is 209 00:11:40,240 --> 00:11:43,800 Speaker 1: probably not a fair representative I got you. Yeah, middle 210 00:11:43,840 --> 00:11:46,520 Speaker 1: of the week. I would say London is back to 211 00:11:46,600 --> 00:11:49,320 Speaker 1: kind of like volume and foot traffic or what you 212 00:11:49,440 --> 00:11:54,440 Speaker 1: used to see. I think in terms of the mood, um, yeah, 213 00:11:54,440 --> 00:11:58,920 Speaker 1: people are very aware, especially near the whole trosonomic saga. Um, 214 00:11:58,960 --> 00:12:01,480 Speaker 1: I think brought so much of what we do, which 215 00:12:01,520 --> 00:12:05,520 Speaker 1: is normally quite leash uh in the middle of the newspaper, 216 00:12:05,640 --> 00:12:08,280 Speaker 1: brought it very much onto the front pages. I think, 217 00:12:08,880 --> 00:12:12,920 Speaker 1: you know, mortgage rates is probably where what do meets 218 00:12:12,960 --> 00:12:16,240 Speaker 1: Main Street right first and foremost, and that story has 219 00:12:16,280 --> 00:12:19,480 Speaker 1: been splashed everywhere in the UK media. So the mood 220 00:12:19,600 --> 00:12:22,760 Speaker 1: is pre downbeat. I think people are expecting now the 221 00:12:22,840 --> 00:12:26,120 Speaker 1: housing market correction and tough times ahead. So it is 222 00:12:26,160 --> 00:12:28,360 Speaker 1: not greater the UK. All right, we'll hanging there, Hugh 223 00:12:28,480 --> 00:12:34,839 Speaker 1: Robert's head of analytics at quant Insights. Well, this Federal Reserve, 224 00:12:34,920 --> 00:12:38,360 Speaker 1: if nothing else, has been quite clear in its messaging 225 00:12:38,600 --> 00:12:42,280 Speaker 1: what it's what it's doing with rates. You had, obviously, uh, 226 00:12:42,800 --> 00:12:45,280 Speaker 1: a couple of big, big meetings recently, and they've been 227 00:12:45,360 --> 00:12:48,359 Speaker 1: quite clear that number one issue is to fight inflation. 228 00:12:48,800 --> 00:12:50,439 Speaker 1: How how did they go? When do they start? Pre 229 00:12:50,520 --> 00:12:52,959 Speaker 1: a Miserraam, Managing director and global head of rates Strategy 230 00:12:52,960 --> 00:12:56,800 Speaker 1: of TV Securities, joins us. So, what's your takeaway here, 231 00:12:57,120 --> 00:13:00,520 Speaker 1: um as as to where this Federal Reserve is going 232 00:13:00,559 --> 00:13:03,000 Speaker 1: after we think about the next three to six months 233 00:13:03,040 --> 00:13:06,880 Speaker 1: in terms of rates. Sure, thanks for having me. So. 234 00:13:07,160 --> 00:13:09,440 Speaker 1: I think that the Fed is trying to give a 235 00:13:09,520 --> 00:13:12,240 Speaker 1: very nuanced message here that they could slow down the pace, 236 00:13:12,280 --> 00:13:15,000 Speaker 1: and that's what they suggested, could happen as early as 237 00:13:15,000 --> 00:13:18,000 Speaker 1: the December meeting, but they could keep going until they 238 00:13:18,040 --> 00:13:20,880 Speaker 1: see very clear and convincing signs. Those are the terms 239 00:13:20,920 --> 00:13:23,839 Speaker 1: that they've been using that inflation is decelerating. So our 240 00:13:23,920 --> 00:13:27,040 Speaker 1: view is a fifty basis point in December, another fifty 241 00:13:27,080 --> 00:13:30,200 Speaker 1: in March, and then a series of twenty to bring 242 00:13:30,240 --> 00:13:32,400 Speaker 1: the terminal rate to five and a half and that's 243 00:13:32,440 --> 00:13:35,080 Speaker 1: really because we see inflation declining and actually we have 244 00:13:35,160 --> 00:13:39,960 Speaker 1: a lower than consensus called CPI podcast for Thursday, But 245 00:13:40,080 --> 00:13:43,320 Speaker 1: it's it's so broad based that we think that decline 246 00:13:43,400 --> 00:13:46,920 Speaker 1: is going to be slow and inflation is sticky because 247 00:13:46,920 --> 00:13:49,880 Speaker 1: it's so broad based. So you know, if inflation doesn't 248 00:13:49,880 --> 00:13:52,280 Speaker 1: decelerate that fast, we think it's going to prevent the 249 00:13:52,400 --> 00:13:55,000 Speaker 1: FED from being able to stop soon. So they can 250 00:13:55,000 --> 00:13:57,640 Speaker 1: slow down the pace but keep going. We think until 251 00:13:58,240 --> 00:14:00,599 Speaker 1: really middle of next year in doing it five and 252 00:14:00,600 --> 00:14:02,440 Speaker 1: a half and then they're going to have to be 253 00:14:02,480 --> 00:14:05,240 Speaker 1: resolute and just keep it there because inflation is still 254 00:14:05,280 --> 00:14:07,920 Speaker 1: going to look high. We focus about four percent inflation 255 00:14:07,960 --> 00:14:10,600 Speaker 1: at what point they stop, and then we actually have 256 00:14:10,720 --> 00:14:13,400 Speaker 1: them easing by the end of next year or more 257 00:14:13,480 --> 00:14:16,600 Speaker 1: so really into twenty four because by then inflation becomes 258 00:14:16,640 --> 00:14:19,360 Speaker 1: less of an issue, but the growth side becomes problematic 259 00:14:19,400 --> 00:14:21,840 Speaker 1: for the FED because we see the unemployment rate rising. 260 00:14:21,920 --> 00:14:24,040 Speaker 1: So I think it's going to be a tricky one 261 00:14:24,120 --> 00:14:27,040 Speaker 1: for the FED next year. Preal Let's game plan what 262 00:14:27,320 --> 00:14:29,840 Speaker 1: a five and a half percent terminal rate would look 263 00:14:29,880 --> 00:14:31,800 Speaker 1: like in terms of the bond market, because I'm looking 264 00:14:31,800 --> 00:14:35,880 Speaker 1: at two year yields right now at four points seven 265 00:14:36,080 --> 00:14:39,360 Speaker 1: per cent, do they eclipse five? The terminal rate really 266 00:14:39,400 --> 00:14:42,600 Speaker 1: does go that far. You know, I think we could 267 00:14:42,640 --> 00:14:45,720 Speaker 1: just about touch five, but I don't think we get 268 00:14:45,760 --> 00:14:47,400 Speaker 1: as high as five and a half, or that we 269 00:14:47,440 --> 00:14:51,200 Speaker 1: can sustain five for the two years because the markets 270 00:14:51,240 --> 00:14:53,560 Speaker 1: forward looking and is going to price in rate cuts. 271 00:14:53,880 --> 00:14:56,160 Speaker 1: I mean, we think we're already seeing signs of some 272 00:14:56,280 --> 00:14:58,640 Speaker 1: slowing in the consumer. You look at the third quarter 273 00:14:58,680 --> 00:15:02,000 Speaker 1: GDP number, how sing of course it's clearly snow slowing. 274 00:15:02,320 --> 00:15:03,680 Speaker 1: So this is the first time the fat is going 275 00:15:03,680 --> 00:15:06,280 Speaker 1: to be hiking into a growth slowdown, and I think 276 00:15:06,280 --> 00:15:09,400 Speaker 1: that's going to keep these cuts. In twenty four I 277 00:15:09,400 --> 00:15:12,320 Speaker 1: think we'll actually see more of that cut pricing being 278 00:15:12,360 --> 00:15:15,120 Speaker 1: built in and that will prevent that front tent from rising. 279 00:15:15,160 --> 00:15:18,960 Speaker 1: But yeah, I would say risks are more asymmetric, meaning 280 00:15:19,000 --> 00:15:21,680 Speaker 1: those front ten rates can still keep rising because you know, 281 00:15:21,680 --> 00:15:24,360 Speaker 1: we're saying five and a half. Maybe it's higher than 282 00:15:24,400 --> 00:15:27,120 Speaker 1: five and a half if inflation really doesn't decelerate fast. 283 00:15:28,040 --> 00:15:30,400 Speaker 1: So I'm looking at the two year and a ten 284 00:15:30,480 --> 00:15:34,240 Speaker 1: year treasury still inverted, you know, fifty fifty one points here. 285 00:15:34,880 --> 00:15:37,440 Speaker 1: What does that tell you? What is what? What are 286 00:15:37,840 --> 00:15:42,560 Speaker 1: you hearing from clients about that? Is that's still an issue? Yeah, 287 00:15:42,600 --> 00:15:46,320 Speaker 1: I think the inversion has been something we've had to 288 00:15:46,360 --> 00:15:48,480 Speaker 1: get used to, and I think we'll have to live 289 00:15:48,520 --> 00:15:51,680 Speaker 1: with this inversion for quite some time. I think investors 290 00:15:51,680 --> 00:15:53,840 Speaker 1: are asking me, you know, when's the time to put 291 00:15:53,840 --> 00:15:55,880 Speaker 1: on a steep now? If we think the fat's going 292 00:15:55,920 --> 00:15:57,840 Speaker 1: to be cutting at the end of next year, is 293 00:15:57,880 --> 00:15:59,720 Speaker 1: now the time for the steep now? And you know 294 00:16:00,000 --> 00:16:02,200 Speaker 1: a term, Yes, if you get a weaker CPI, the 295 00:16:02,200 --> 00:16:04,480 Speaker 1: curve can steepen a little bit. I think it's still 296 00:16:04,520 --> 00:16:06,880 Speaker 1: too early for that steep now. We really the curve 297 00:16:06,920 --> 00:16:09,800 Speaker 1: tends to only steepen when cuts are about three months 298 00:16:09,920 --> 00:16:12,640 Speaker 1: UM priced out. And I don't think this FED can 299 00:16:12,680 --> 00:16:14,800 Speaker 1: even talk about cutting let alone. I mean they're not 300 00:16:14,840 --> 00:16:18,800 Speaker 1: even talking about pausing. So I think the curve stays inverted. 301 00:16:19,200 --> 00:16:22,160 Speaker 1: Any big steepening should be feeded. And you really have 302 00:16:22,320 --> 00:16:24,760 Speaker 1: to wait for that inflation fear from the FED from 303 00:16:24,760 --> 00:16:27,360 Speaker 1: the market to come down before we can start legging 304 00:16:27,400 --> 00:16:30,800 Speaker 1: into steepness, legging into steepness. So you said that you 305 00:16:30,800 --> 00:16:33,840 Speaker 1: know three months out from the cut is if I'm 306 00:16:33,920 --> 00:16:36,960 Speaker 1: understanding you correctly, that's when you would start going in 307 00:16:37,040 --> 00:16:40,320 Speaker 1: on the steepener or recommending it. If if the FED 308 00:16:40,440 --> 00:16:43,520 Speaker 1: is going to cut by the end of next year, 309 00:16:44,080 --> 00:16:47,040 Speaker 1: does that mean September next year is when you know, 310 00:16:47,080 --> 00:16:49,280 Speaker 1: maybe you do see that two year ye'ld start following 311 00:16:49,280 --> 00:16:53,200 Speaker 1: those steepeners make a little bit more sense. Sure, yes, 312 00:16:53,760 --> 00:16:57,040 Speaker 1: so we're thinking fourth quarters when you start thinking about steepness. 313 00:16:57,200 --> 00:17:00,280 Speaker 1: I mean, if inflation has ends up being high than 314 00:17:00,320 --> 00:17:02,760 Speaker 1: our forecast, which is possible, I would say that bias 315 00:17:03,280 --> 00:17:06,399 Speaker 1: is higher inflation just because wage inflation is high and 316 00:17:06,440 --> 00:17:09,240 Speaker 1: it's a broad based increase. Maybe it's even closer to 317 00:17:09,280 --> 00:17:11,520 Speaker 1: the end of next year. So the trade I think 318 00:17:11,560 --> 00:17:14,840 Speaker 1: between now and then is more a long duration stand 319 00:17:15,200 --> 00:17:18,080 Speaker 1: rather than a curve steepna because you know, at some 320 00:17:18,160 --> 00:17:21,639 Speaker 1: point investors are going to want to a recession risk hedge, 321 00:17:22,119 --> 00:17:25,440 Speaker 1: and I think that's just owning long end treasuries rather 322 00:17:25,520 --> 00:17:28,040 Speaker 1: than playing for that fadies because the Fed is going 323 00:17:28,080 --> 00:17:32,600 Speaker 1: to be very reluctantly easy when they do. So we 324 00:17:32,680 --> 00:17:35,880 Speaker 1: do have midterm elections tomorrow. I wonder how you think 325 00:17:35,920 --> 00:17:37,919 Speaker 1: about that. I don't know how much you've kind of 326 00:17:37,960 --> 00:17:42,440 Speaker 1: factor in politics geopolitics into your outlook. How do you 327 00:17:42,480 --> 00:17:46,160 Speaker 1: think about that sure, so not a whole lot um. 328 00:17:46,200 --> 00:17:50,240 Speaker 1: I mean, even with the Democrats controlling all three chambers 329 00:17:50,280 --> 00:17:53,920 Speaker 1: of government, we actually didn't see a whole lot of stimulus. 330 00:17:53,960 --> 00:17:56,480 Speaker 1: I think other than COVID stimulus, we haven't had much 331 00:17:56,520 --> 00:17:59,879 Speaker 1: physical stimulus. So if you get gridlock, normally conventional with 332 00:18:00,000 --> 00:18:03,760 Speaker 1: them would mean less policy. Good for risk assets, probably 333 00:18:03,760 --> 00:18:06,160 Speaker 1: good for bonds. I would say we've been in that 334 00:18:06,240 --> 00:18:09,560 Speaker 1: regime already because it was such a tight split. I 335 00:18:09,600 --> 00:18:12,320 Speaker 1: do worry about the dead ceiling. I hate talking about it, 336 00:18:12,359 --> 00:18:14,720 Speaker 1: but we're going to be dealing with dead ceiling early 337 00:18:14,800 --> 00:18:17,040 Speaker 1: next year. It's going to go down to the wire. 338 00:18:17,160 --> 00:18:19,720 Speaker 1: Markets never like that, so I think that's one source 339 00:18:19,800 --> 00:18:22,560 Speaker 1: of sort of wild card around the dead ceiling. I 340 00:18:22,560 --> 00:18:25,200 Speaker 1: think political pressure on the FED will be high as well, 341 00:18:25,240 --> 00:18:27,439 Speaker 1: But I think this FED has been clear that it's 342 00:18:27,480 --> 00:18:30,440 Speaker 1: about inflation um, and I think we don't get any 343 00:18:30,440 --> 00:18:32,800 Speaker 1: fiscal stimulas. So even in my view, where the economy 344 00:18:32,880 --> 00:18:35,200 Speaker 1: hits the recession by the third quarter of next year, 345 00:18:35,520 --> 00:18:39,480 Speaker 1: normally we'd look for fiscal easing and monitories ing. I 346 00:18:39,520 --> 00:18:42,880 Speaker 1: think this time, inflation doesn't allow monitories. In split government 347 00:18:42,920 --> 00:18:46,080 Speaker 1: doesn't allow fiscal easing, so that's why you know that 348 00:18:46,200 --> 00:18:48,760 Speaker 1: recession need not be very short lived because you just 349 00:18:48,800 --> 00:18:51,480 Speaker 1: don't have any policy support. Pretty I'm going to ask 350 00:18:51,480 --> 00:18:55,360 Speaker 1: you the question that John Pharaoh asked Michaelson from Morgan Stanley, 351 00:18:55,440 --> 00:18:58,280 Speaker 1: and then I asked him Christ about an hour ago, 352 00:18:58,320 --> 00:19:00,840 Speaker 1: I think, or a little lessn't that would you rather 353 00:19:00,960 --> 00:19:03,639 Speaker 1: know the outcome of the midterm elections or would you 354 00:19:03,760 --> 00:19:06,320 Speaker 1: rather know what the CPI print on Thursday is going 355 00:19:06,359 --> 00:19:10,200 Speaker 1: to be? Oh? C p I A need. I think 356 00:19:10,200 --> 00:19:12,440 Speaker 1: that's what's going to tell us a lot more about 357 00:19:12,440 --> 00:19:15,320 Speaker 1: FED policy, which is actually front and center in everyone's mind. 358 00:19:15,480 --> 00:19:18,159 Speaker 1: Mike Wilson is the odd man out. He is. I 359 00:19:18,160 --> 00:19:20,520 Speaker 1: know he wants to know the mid term election chare, 360 00:19:20,560 --> 00:19:22,560 Speaker 1: but I kind of agree with Prea. Just feels like 361 00:19:22,600 --> 00:19:26,000 Speaker 1: what's driving this market is and earnings, it's it's it's 362 00:19:26,040 --> 00:19:27,359 Speaker 1: just kind of the Fed and what are they going 363 00:19:27,440 --> 00:19:30,320 Speaker 1: to do? So I agree with you, so Priam, thank 364 00:19:30,359 --> 00:19:33,000 Speaker 1: you so much for joining us. Managing Director and Global 365 00:19:33,040 --> 00:19:42,080 Speaker 1: head of Rate Strategy for t D Securities. United Nations 366 00:19:42,160 --> 00:19:45,280 Speaker 1: Climate Change Conference, more commonly known as COP twenty seven 367 00:19:45,359 --> 00:19:49,159 Speaker 1: is taking place as we speak in Egypt. Uh. The 368 00:19:49,240 --> 00:19:52,199 Speaker 1: question is what can they get done at this conference here, 369 00:19:52,200 --> 00:19:55,520 Speaker 1: and let's check in with Sadekwaba, member of the President's 370 00:19:55,600 --> 00:19:59,520 Speaker 1: National Infrastructure Advisory Council. Uh. He is also the founder, 371 00:19:59,600 --> 00:20:02,920 Speaker 1: chairman and managing partner of I Squared Capital. He's a 372 00:20:03,000 --> 00:20:06,640 Speaker 1: member of the Council of Foreign Relations since March. He's 373 00:20:06,680 --> 00:20:10,360 Speaker 1: also got a few advanced degrees. Uh. You know, kind 374 00:20:10,359 --> 00:20:12,840 Speaker 1: of just thrown in there for good measure. But Soedak, 375 00:20:12,880 --> 00:20:16,119 Speaker 1: thanks so much for joining us from Egypt. Given the 376 00:20:16,160 --> 00:20:21,679 Speaker 1: global geopolitical backdrop, Sedek, what is a reasonable expectations for 377 00:20:21,760 --> 00:20:26,960 Speaker 1: COP twenty seven in your mind? Thanks for having the 378 00:20:27,040 --> 00:20:30,800 Speaker 1: appointing to so. Look, the purpose of the COP twenties 379 00:20:30,800 --> 00:20:34,520 Speaker 1: seven is really to achieve five goals. One is an 380 00:20:34,520 --> 00:20:38,280 Speaker 1: obvious one, which is stronger commitments from countries in terms 381 00:20:38,359 --> 00:20:41,879 Speaker 1: of reducing carbon emission, which is what they've degreed in 382 00:20:41,960 --> 00:20:44,680 Speaker 1: the previous confidence. The second one, which is a little 383 00:20:44,680 --> 00:20:48,080 Speaker 1: bit more controversial, which is what they call loss of damage, 384 00:20:48,520 --> 00:20:52,200 Speaker 1: not of the emerging markets and emerging economies are basically 385 00:20:52,240 --> 00:20:57,080 Speaker 1: seeing we're going to bear the disproportionate share of climate change, 386 00:20:57,560 --> 00:21:00,840 Speaker 1: so you need to in one way or another compensate us, 387 00:21:01,119 --> 00:21:04,479 Speaker 1: and of course the world compensate is not something that 388 00:21:04,680 --> 00:21:09,200 Speaker 1: industrial economies like to hear. And also given the economic 389 00:21:09,280 --> 00:21:12,400 Speaker 1: crisis we're all feeling today, it's unclear where this money 390 00:21:12,400 --> 00:21:15,879 Speaker 1: is going to come from. Another goal is adaptation. We 391 00:21:15,960 --> 00:21:19,960 Speaker 1: need to find ways to reduce emission and these helped 392 00:21:20,680 --> 00:21:25,320 Speaker 1: African economies and other madrigal economies find those technological ways. 393 00:21:25,760 --> 00:21:28,639 Speaker 1: And then of course climate finance. How are you going 394 00:21:28,680 --> 00:21:30,520 Speaker 1: to pay for all this? So at the bottom line, 395 00:21:30,520 --> 00:21:33,240 Speaker 1: it's a question of where can we get the money, 396 00:21:33,320 --> 00:21:35,199 Speaker 1: who's going to pay for it, and who's going to 397 00:21:35,280 --> 00:21:40,399 Speaker 1: help pay for those increased expenses. Uh. And in the 398 00:21:40,480 --> 00:21:44,480 Speaker 1: current environment, I think it's cant be very difficult because 399 00:21:44,560 --> 00:21:49,080 Speaker 1: we have rising budget deficits uh GDP debt of soevern 400 00:21:49,119 --> 00:21:52,120 Speaker 1: economies is at an all time high, in fact higher 401 00:21:52,119 --> 00:21:55,480 Speaker 1: than World War two levels UH and we're all facing 402 00:21:55,560 --> 00:22:00,800 Speaker 1: inflation and potential recession of the coming theory. So the challenges. 403 00:22:00,920 --> 00:22:03,800 Speaker 1: You don't want any of the goals of the conference 404 00:22:04,200 --> 00:22:06,919 Speaker 1: to completely collapse, and I think you want to be 405 00:22:07,000 --> 00:22:11,679 Speaker 1: able to have everyone agree, maybe to disagree, and pundit 406 00:22:11,760 --> 00:22:17,200 Speaker 1: to the next conference and hopefully a good help, not great, 407 00:22:17,560 --> 00:22:21,639 Speaker 1: that's not that And so dak I mean, how optimistic 408 00:22:22,080 --> 00:22:24,000 Speaker 1: are you that those goals that you just lined out 409 00:22:24,040 --> 00:22:27,479 Speaker 1: will actually be met? Does that need to happen for 410 00:22:27,520 --> 00:22:33,159 Speaker 1: this conference to be considered a success. I think I 411 00:22:33,200 --> 00:22:35,159 Speaker 1: didn't think so. I think for this conference to be 412 00:22:35,240 --> 00:22:38,119 Speaker 1: a success is for the we didn't end up in 413 00:22:38,160 --> 00:22:42,359 Speaker 1: recrimination between various countries, the countries that have and the 414 00:22:42,400 --> 00:22:44,760 Speaker 1: countries that don't. I think if you achieve that goal 415 00:22:45,160 --> 00:22:49,320 Speaker 1: and everyone agrees that the current economic circumstances a tough 416 00:22:49,840 --> 00:22:52,760 Speaker 1: for everyone, and we all agree that we need to 417 00:22:52,800 --> 00:22:55,960 Speaker 1: need these goals, uh, then I think that even the 418 00:22:56,080 --> 00:22:58,639 Speaker 1: itself will be a great achievement and try to focus 419 00:22:58,640 --> 00:23:03,920 Speaker 1: on particular projects rather than macroeconomic goals, which becomes difficult 420 00:23:03,920 --> 00:23:08,120 Speaker 1: to monitor. So, so that you've written about the need 421 00:23:08,200 --> 00:23:12,480 Speaker 1: to greenify infrastructure, can you talk about that, what it means, 422 00:23:12,480 --> 00:23:17,680 Speaker 1: what it means for investors and markets. Yeah. Absolutely. Look, 423 00:23:17,680 --> 00:23:20,080 Speaker 1: when you think about the investment that is being made 424 00:23:20,160 --> 00:23:25,080 Speaker 1: for electric vehicles, Um, you know, it's nice. It's of 425 00:23:25,160 --> 00:23:31,080 Speaker 1: vehicles are moved from ice internal compass engine into electric vehicles. 426 00:23:31,160 --> 00:23:34,000 Speaker 1: But at the end of the day, those electric vehicles 427 00:23:34,119 --> 00:23:37,159 Speaker 1: will drive on roads which is native written in asphalt, 428 00:23:37,800 --> 00:23:41,520 Speaker 1: on bridges which is made of concrete, steel, and these 429 00:23:41,560 --> 00:23:48,760 Speaker 1: products are themselves high plaiting inputs. Right um, a percent 430 00:23:48,840 --> 00:23:54,719 Speaker 1: of steel production still uses coal UH. Asphalt and concrete 431 00:23:55,200 --> 00:23:59,159 Speaker 1: uses a huge amount of water and electricity, again a 432 00:23:59,160 --> 00:24:01,679 Speaker 1: lot of it coming from call. So how do you 433 00:24:01,760 --> 00:24:04,119 Speaker 1: deal with these issues is really going to be a problem. 434 00:24:04,160 --> 00:24:07,800 Speaker 1: So it's not enough to talk about the electric vehicles. 435 00:24:08,119 --> 00:24:10,320 Speaker 1: We think it's important to be able to talk about 436 00:24:10,359 --> 00:24:14,840 Speaker 1: the inputs themselves. Think about the following statistics. We will 437 00:24:14,880 --> 00:24:20,720 Speaker 1: need to build a New York City equivalent every month 438 00:24:21,440 --> 00:24:24,520 Speaker 1: for the coming forty years. To think of the amount 439 00:24:24,680 --> 00:24:28,720 Speaker 1: of inputs infrastructure that will need to be built globally, 440 00:24:29,240 --> 00:24:32,159 Speaker 1: the amount of energy that it will require. So the 441 00:24:32,280 --> 00:24:34,240 Speaker 1: way we need to do it is not just by 442 00:24:34,280 --> 00:24:37,399 Speaker 1: saying let's all have electric vehicles, among other things, is 443 00:24:37,440 --> 00:24:42,040 Speaker 1: to think creatively about the urban city. And to be fair, 444 00:24:42,880 --> 00:24:47,160 Speaker 1: Bloomberg and Bloomberg Philanthropies have been focusing precisely on that 445 00:24:47,560 --> 00:24:50,280 Speaker 1: because that, I think is where the future is, which 446 00:24:50,320 --> 00:24:52,600 Speaker 1: is the use of technology to be able to have 447 00:24:52,720 --> 00:24:58,520 Speaker 1: it smart cities that will reduce carbon footprint across the board. 448 00:24:58,840 --> 00:25:02,720 Speaker 1: And I think the future you've been finding technological solutions 449 00:25:03,440 --> 00:25:07,480 Speaker 1: like we did, for example, in UH controlling COVID. We 450 00:25:07,600 --> 00:25:10,520 Speaker 1: spent ten plus billion dollars in the span of nine 451 00:25:10,560 --> 00:25:12,720 Speaker 1: months to be able to find the right back seats. 452 00:25:13,160 --> 00:25:15,479 Speaker 1: So I think that needs to be that huge push 453 00:25:15,840 --> 00:25:22,280 Speaker 1: towards the adopting and adopting of technology to our daily life. 454 00:25:22,760 --> 00:25:25,960 Speaker 1: That's absolutely critical. You won't be able to do it 455 00:25:26,000 --> 00:25:32,080 Speaker 1: through conventional methods. All right, that's great stuff. Sekuaba, member 456 00:25:32,240 --> 00:25:36,679 Speaker 1: of the President's National Infrastructure Advisory Council, is also the founder, 457 00:25:36,720 --> 00:25:40,240 Speaker 1: chairman and managing partner of I Squared Capital. Reporting to 458 00:25:40,320 --> 00:25:45,280 Speaker 1: US live from Egypt. The Top twenty seven conference taking 459 00:25:45,280 --> 00:25:46,920 Speaker 1: place there. It's gonna be going on for a couple 460 00:25:46,920 --> 00:25:49,840 Speaker 1: of weeks there uh in Egypt. And again it's an 461 00:25:49,840 --> 00:25:53,199 Speaker 1: annual conference talking on climate change. Uh. It's kind of 462 00:25:53,240 --> 00:26:01,080 Speaker 1: public private solutions. Perhaps going forward, let's talk big tech 463 00:26:01,320 --> 00:26:03,800 Speaker 1: and you think back, since it's great financial crisis that's 464 00:26:03,840 --> 00:26:06,520 Speaker 1: been the leader for this stock market. But we had 465 00:26:06,600 --> 00:26:09,480 Speaker 1: some really rough earnings this past reporting period and some 466 00:26:09,480 --> 00:26:12,160 Speaker 1: people starting to question that a little bit. Let's bring 467 00:26:12,240 --> 00:26:15,359 Speaker 1: some experts on board and get their U ideas. Man 468 00:26:15,400 --> 00:26:18,880 Speaker 1: Deep singh Uh and A rag Rana there two technology 469 00:26:18,880 --> 00:26:22,280 Speaker 1: annels with Bloomberg Intelligence Man Deeps in our Bloomberg Interactive 470 00:26:22,280 --> 00:26:24,800 Speaker 1: broker studio, A Rock joins us on the phones. On Rock, 471 00:26:24,880 --> 00:26:27,120 Speaker 1: let's start with you, because I want to start with 472 00:26:27,320 --> 00:26:30,200 Speaker 1: We'll get the man Deeps crazy companies later, the ones 473 00:26:30,240 --> 00:26:33,480 Speaker 1: that don't ever even have profits. But you've got Microsoft, 474 00:26:33,920 --> 00:26:36,480 Speaker 1: I mean, that's the bluest of blue chips. Even they 475 00:26:37,000 --> 00:26:40,160 Speaker 1: we're seeing some challenges in their business model, whether it's earnings, 476 00:26:40,200 --> 00:26:43,560 Speaker 1: heads winds, or maybe concern from some of their corporate customers, 477 00:26:44,280 --> 00:26:48,520 Speaker 1: how's that big software space doing? When my Microsoft, my 478 00:26:48,680 --> 00:26:52,800 Speaker 1: leader is a little bit concerning. So when you think 479 00:26:52,800 --> 00:26:55,480 Speaker 1: about it, over the past five to six years, they 480 00:26:55,480 --> 00:26:58,520 Speaker 1: have had a great run in terms of top line growth, 481 00:26:58,840 --> 00:27:02,560 Speaker 1: you know, north of twelve in constant currency, so pretty 482 00:27:02,640 --> 00:27:04,760 Speaker 1: much their you know, revenue has doubled just in the 483 00:27:04,840 --> 00:27:07,879 Speaker 1: last five six years. Now, what's going to happen is 484 00:27:07,960 --> 00:27:10,359 Speaker 1: over the next year year and a half, when we 485 00:27:10,400 --> 00:27:13,560 Speaker 1: see the global economy slowing down a little bit. You know, 486 00:27:13,840 --> 00:27:16,680 Speaker 1: those companies or those clients for them for that matter, 487 00:27:16,760 --> 00:27:19,800 Speaker 1: that have been spending so robustly on software, they're gonna 488 00:27:19,800 --> 00:27:21,960 Speaker 1: pull back a little bit. And and this is more 489 00:27:22,080 --> 00:27:25,840 Speaker 1: so just a mere function of economic think rather than 490 00:27:25,880 --> 00:27:28,200 Speaker 1: anything to do with the digital or you know, all 491 00:27:28,240 --> 00:27:31,240 Speaker 1: the emerging technologies that we see now. Having said that, 492 00:27:31,280 --> 00:27:34,000 Speaker 1: we have confidence that the year after that we're going 493 00:27:34,040 --> 00:27:37,800 Speaker 1: to see a bounce back in that spending. Okay, I 494 00:27:37,840 --> 00:27:40,080 Speaker 1: want to talk about the crazy companies that Paul mentioned. 495 00:27:40,080 --> 00:27:41,480 Speaker 1: I want to do that with man Deep. I want 496 00:27:41,520 --> 00:27:44,320 Speaker 1: to talk about Twitter. I think I don't know, we 497 00:27:44,400 --> 00:27:46,679 Speaker 1: should check the the size and scope on this. How 498 00:27:46,760 --> 00:27:50,160 Speaker 1: much time we talk spending about private companies? Twitter has 499 00:27:50,200 --> 00:27:54,280 Speaker 1: to be number one, But obviously the news from last week, 500 00:27:54,280 --> 00:27:55,560 Speaker 1: there's been a lot of news. But one of the 501 00:27:55,560 --> 00:27:57,920 Speaker 1: big headlines from last week that you had the likes 502 00:27:57,960 --> 00:28:01,760 Speaker 1: of General Mills, You had Auti Fiser joining the list 503 00:28:01,840 --> 00:28:05,560 Speaker 1: of companies that aren't going to advertise on Twitter anymore. 504 00:28:05,560 --> 00:28:07,840 Speaker 1: And the state of ad spending is a little hairy 505 00:28:07,960 --> 00:28:11,080 Speaker 1: right now. But what could that mean for other social 506 00:28:11,080 --> 00:28:15,560 Speaker 1: media companies? Were those dollars going to go? Yes? I 507 00:28:15,640 --> 00:28:20,080 Speaker 1: actually think you know, other competitors like a Snapchat or 508 00:28:20,320 --> 00:28:23,680 Speaker 1: Meta for example, may benefit from some of that ad 509 00:28:23,680 --> 00:28:27,440 Speaker 1: dollars that could move from Twitter to you know, companies 510 00:28:27,480 --> 00:28:31,000 Speaker 1: with more of a direct response UH spend exposure. And 511 00:28:31,040 --> 00:28:33,880 Speaker 1: the reason I say that is because Twitter is eight 512 00:28:34,560 --> 00:28:38,520 Speaker 1: brand advertising, they don't use a lot of personalization when 513 00:28:38,560 --> 00:28:41,719 Speaker 1: it comes to ads, whereas companies with direct response ads 514 00:28:42,080 --> 00:28:46,280 Speaker 1: they personalized as Even though Apple's privacy changes were a headwind, 515 00:28:46,600 --> 00:28:48,880 Speaker 1: there's still better R o I in terms of the 516 00:28:48,920 --> 00:28:51,880 Speaker 1: ad spend. So clearly I think it could make a 517 00:28:51,920 --> 00:28:54,880 Speaker 1: difference for a company like Snapchat. For Meta, it's just 518 00:28:54,960 --> 00:28:59,320 Speaker 1: too large for you know, maybe you know, two hundred 519 00:28:59,360 --> 00:29:01,360 Speaker 1: million dollars moving to Metta. It's not going to make 520 00:29:01,360 --> 00:29:04,760 Speaker 1: a big difference in their fortunes. Hey, you know, let's 521 00:29:04,800 --> 00:29:07,680 Speaker 1: step back a little bit here. We are either you know, 522 00:29:07,720 --> 00:29:10,480 Speaker 1: if you listen to most economists either in or approaching 523 00:29:11,000 --> 00:29:15,240 Speaker 1: sometime in twe recession. Talk to us about kind of 524 00:29:15,280 --> 00:29:19,440 Speaker 1: how tech spending tends to kind of perform in a 525 00:29:19,520 --> 00:29:22,200 Speaker 1: recessionary environment. What are you hearing from the big companies 526 00:29:22,280 --> 00:29:25,280 Speaker 1: you talk to? Yeah, thanksful. So, So the way we 527 00:29:25,320 --> 00:29:27,320 Speaker 1: want to think about is the first thing that goes 528 00:29:27,600 --> 00:29:31,080 Speaker 1: is hardware spending. If you unless you have to upgrade 529 00:29:31,120 --> 00:29:33,120 Speaker 1: the big hardware equipment that you have, you're going to 530 00:29:33,200 --> 00:29:35,600 Speaker 1: push that out for a year. The second place you 531 00:29:35,640 --> 00:29:39,080 Speaker 1: also go is, you know, your legacy on premise software packages. 532 00:29:39,200 --> 00:29:41,720 Speaker 1: You know, you're not going to upgrade your UM you know, 533 00:29:41,840 --> 00:29:46,239 Speaker 1: databases or other software packages. But what happens is there 534 00:29:46,280 --> 00:29:48,440 Speaker 1: are certain areas that you just cannot turn off, so 535 00:29:48,480 --> 00:29:51,800 Speaker 1: security spending being one of them. You have certain areas 536 00:29:51,800 --> 00:29:55,320 Speaker 1: within cloud that increases productivity that you're going to still 537 00:29:55,440 --> 00:29:57,800 Speaker 1: spend a little bit. And the third area that gets 538 00:29:57,840 --> 00:30:01,840 Speaker 1: spending which cuts in spending I D services, but it's 539 00:30:01,960 --> 00:30:03,760 Speaker 1: done with I would say a little bit of a 540 00:30:03,880 --> 00:30:06,920 Speaker 1: lag because the contract that you've signed up or are 541 00:30:07,000 --> 00:30:10,000 Speaker 1: still driving revenue and you know that's the new booking 542 00:30:10,040 --> 00:30:12,440 Speaker 1: start to slow down and that has usually a six 543 00:30:12,520 --> 00:30:15,200 Speaker 1: to nine month lag. Now, having said that, you know, 544 00:30:15,240 --> 00:30:18,560 Speaker 1: from our side, if we do see a reversal in 545 00:30:18,680 --> 00:30:23,000 Speaker 1: the interest rate cuts or slow down, I think the 546 00:30:23,120 --> 00:30:25,520 Speaker 1: fundaments may still be weak, but I think the bounce 547 00:30:25,560 --> 00:30:27,640 Speaker 1: back is going to come there on all the tech 548 00:30:27,720 --> 00:30:31,440 Speaker 1: valuations that have been beaten up so far. Alright, Mandy 549 00:30:31,560 --> 00:30:32,960 Speaker 1: talked to us about the other one of the big 550 00:30:32,960 --> 00:30:35,959 Speaker 1: growth drivers in the tech area has been this, you know, 551 00:30:36,000 --> 00:30:42,200 Speaker 1: the secular ship of advertising dollars onto these digital platforms, Google, YouTube, Meta, 552 00:30:42,320 --> 00:30:45,440 Speaker 1: all those types of things. UM, how are you thinking 553 00:30:45,480 --> 00:30:49,560 Speaker 1: about that app that revenue stream in a recession. Well, 554 00:30:49,680 --> 00:30:53,720 Speaker 1: so clearly you're going to see broad based slowdown and 555 00:30:53,760 --> 00:30:56,560 Speaker 1: adds spending, whether it's on the traditional channels or the 556 00:30:56,600 --> 00:30:59,960 Speaker 1: digital channels. It's not going to change the secular trend. 557 00:31:00,160 --> 00:31:03,680 Speaker 1: Although I would argue that connected TV is becoming a 558 00:31:03,760 --> 00:31:07,520 Speaker 1: much bigger deal than we thought, you know, it was before, 559 00:31:07,880 --> 00:31:10,720 Speaker 1: simply because a lot of the focus was on mobile. 560 00:31:10,960 --> 00:31:14,280 Speaker 1: Mobile ads was really the holy glare and the reason 561 00:31:14,320 --> 00:31:17,600 Speaker 1: why you know, Meta did so well. Connected TV to 562 00:31:17,720 --> 00:31:20,560 Speaker 1: me is just a different medium when it comes to 563 00:31:20,720 --> 00:31:25,120 Speaker 1: you know, how you move your traditional broadcast streaming to 564 00:31:25,720 --> 00:31:28,920 Speaker 1: digital channels and it can curate a lot of first 565 00:31:28,920 --> 00:31:31,920 Speaker 1: party data. So that's where I feel like there will 566 00:31:31,920 --> 00:31:35,160 Speaker 1: be a lot of investments. YouTube clearly is the category 567 00:31:35,240 --> 00:31:38,480 Speaker 1: leader with connected TV. We've seen Roku kind of go 568 00:31:38,600 --> 00:31:41,800 Speaker 1: through its struggles because they don't have a clear platform, 569 00:31:41,840 --> 00:31:44,640 Speaker 1: but you could see there's a lot of emphasis around 570 00:31:44,640 --> 00:31:47,680 Speaker 1: connected TV, you know, for the foreseeable future. All right, 571 00:31:47,720 --> 00:31:51,000 Speaker 1: good stuff. Guys always appreciate getting a quick round table 572 00:31:51,040 --> 00:31:53,000 Speaker 1: there on all things technology. We can do that with 573 00:31:53,320 --> 00:31:58,000 Speaker 1: Man Deep Seeing on a round Bloomberg Intelligence tech analysts. 574 00:31:58,000 --> 00:32:02,320 Speaker 1: This is the big take the Bloomberg's in depth, original 575 00:32:02,360 --> 00:32:04,920 Speaker 1: reporting from around the globe. This is a really fast 576 00:32:05,000 --> 00:32:08,880 Speaker 1: moving story that's caused a lot of outrage among investors. 577 00:32:08,960 --> 00:32:11,640 Speaker 1: This is so fascinating. The market shutdown in a way 578 00:32:11,680 --> 00:32:14,760 Speaker 1: it's never done before. That's gonna have consequences for years 579 00:32:14,800 --> 00:32:20,719 Speaker 1: to come. The Big Take on Bloomberg Radio. All right, well, 580 00:32:20,720 --> 00:32:23,400 Speaker 1: you know we are big, big fans of The Big Take. 581 00:32:23,480 --> 00:32:26,240 Speaker 1: These are stories, in depth reported stories on Bloomberg News. 582 00:32:26,280 --> 00:32:28,400 Speaker 1: And now they've got their own podcast and they've got 583 00:32:29,120 --> 00:32:30,960 Speaker 1: all kinds of radio shows. You can listen to The 584 00:32:31,000 --> 00:32:35,160 Speaker 1: Big Take podcasts on the I Heart Radio app, Apple 585 00:32:35,200 --> 00:32:37,240 Speaker 1: and anywhere else you get your podcast and listen to 586 00:32:37,320 --> 00:32:40,479 Speaker 1: The Big Take every night at eleven pm Eastern on 587 00:32:40,600 --> 00:32:42,720 Speaker 1: Bloomberg Radio. I want to bring in West Coast of 588 00:32:42,760 --> 00:32:45,840 Speaker 1: a host of Bloomberg Big Take. It's a great story. 589 00:32:45,960 --> 00:32:49,560 Speaker 1: We've all read about how these Russian billionaire oligarchs their 590 00:32:49,640 --> 00:32:53,200 Speaker 1: yachts are being seized, and there's some amazing yachts and 591 00:32:53,240 --> 00:32:55,640 Speaker 1: they're being seized due to the kind of response to 592 00:32:55,680 --> 00:32:57,480 Speaker 1: the war in Ukraine. Now the question is what do 593 00:32:57,520 --> 00:33:00,480 Speaker 1: you do with them once you got them? Um Wes, 594 00:33:00,520 --> 00:33:03,400 Speaker 1: you've got a fascinating story here. So it turns out 595 00:33:03,600 --> 00:33:07,560 Speaker 1: it costs money to own a yacht, doesn't it. Oh yeah, 596 00:33:07,600 --> 00:33:10,760 Speaker 1: these yachts are very expensive, not just to buy, but 597 00:33:10,880 --> 00:33:13,120 Speaker 1: to maintain. And as you said at the top there, 598 00:33:13,520 --> 00:33:16,360 Speaker 1: if you seize one of these yachts, as the US 599 00:33:16,440 --> 00:33:20,080 Speaker 1: government does and other European governments have done, as their 600 00:33:20,200 --> 00:33:24,400 Speaker 1: pursuing sanctioned Russian billionaires and trying to get what they 601 00:33:24,440 --> 00:33:27,880 Speaker 1: call the spoils of war, they take these things. Uh, 602 00:33:27,920 --> 00:33:31,240 Speaker 1: they haullow into port and then they sit there and 603 00:33:31,560 --> 00:33:33,640 Speaker 1: it is not cheap to maintain them. As one person 604 00:33:33,720 --> 00:33:36,640 Speaker 1: told Stephanie Baker, who is the guest on the show 605 00:33:36,680 --> 00:33:39,560 Speaker 1: today on the Big Take podcast, she says, these things 606 00:33:39,600 --> 00:33:42,400 Speaker 1: are trying to sink every day if you do not 607 00:33:42,680 --> 00:33:46,040 Speaker 1: maintain them. Well, I don't actually own a yacht at 608 00:33:46,120 --> 00:33:49,000 Speaker 1: least not yet. Walk me through some of the costs here. 609 00:33:49,000 --> 00:33:51,760 Speaker 1: If these yachts are just sitting there, what kind of 610 00:33:51,800 --> 00:33:55,120 Speaker 1: where and tear are they get in? Um? Yeah, Katie, 611 00:33:55,640 --> 00:33:58,880 Speaker 1: Unfortunately I'm also in the don't own a super yacht 612 00:33:58,880 --> 00:34:02,840 Speaker 1: club on now. Yeah, I can always save my pennies. 613 00:34:03,120 --> 00:34:07,000 Speaker 1: Um so. Uh. Anyone who's ever owned any boat, whether 614 00:34:07,000 --> 00:34:09,520 Speaker 1: it's a little dingy or it's a giant yacht. Knows that, 615 00:34:09,800 --> 00:34:12,600 Speaker 1: especially if they're in salt water, they are constantly being 616 00:34:12,640 --> 00:34:17,719 Speaker 1: attacked by a hostile environment. And these these enormous yachts 617 00:34:17,760 --> 00:34:22,040 Speaker 1: are more like floating hotels than they are just your 618 00:34:22,239 --> 00:34:28,560 Speaker 1: ordinary boat. They have um, really uh sophisticated like desalinization 619 00:34:28,640 --> 00:34:34,080 Speaker 1: systems so they can make their own water on transoceanic voyages. Um. 620 00:34:34,160 --> 00:34:37,080 Speaker 1: They have all kinds of systems. They don't have an engine, 621 00:34:37,120 --> 00:34:40,440 Speaker 1: they have engine rooms that you walk into, they have 622 00:34:40,520 --> 00:34:44,640 Speaker 1: control rooms, they have huge staffs, they have state rooms, 623 00:34:44,719 --> 00:34:48,040 Speaker 1: and you know, with all all the amenities in them. Uh, 624 00:34:48,080 --> 00:34:51,680 Speaker 1: and just trying to keep them afloat and in good 625 00:34:51,719 --> 00:34:56,880 Speaker 1: repair takes daily care. And so say the US seizes 626 00:34:56,960 --> 00:35:00,239 Speaker 1: one of these boats, and then they have to have 627 00:35:00,680 --> 00:35:05,359 Speaker 1: an entire crew of people maintaining it every day, as 628 00:35:05,400 --> 00:35:08,359 Speaker 1: though the billionaire still owned it, because of course those 629 00:35:08,360 --> 00:35:10,680 Speaker 1: people would also have a crew taking care of it. 630 00:35:11,520 --> 00:35:13,960 Speaker 1: Why don't why doesn't the US just turn around and 631 00:35:14,000 --> 00:35:15,960 Speaker 1: sell these things? Why why are they in the business 632 00:35:16,040 --> 00:35:18,800 Speaker 1: of owning and maintaining boats. So this is a really 633 00:35:18,800 --> 00:35:22,440 Speaker 1: good question. This is something that Stephanie Baker, who reported 634 00:35:22,440 --> 00:35:26,480 Speaker 1: and wrote this brilliant story got into and the problem 635 00:35:26,719 --> 00:35:31,000 Speaker 1: is what is the market for a seized Russian super yacht? 636 00:35:31,080 --> 00:35:33,560 Speaker 1: So let me just back up. The first thing is 637 00:35:33,600 --> 00:35:37,040 Speaker 1: they actually have to prove who owns it, because it's 638 00:35:37,080 --> 00:35:38,560 Speaker 1: not like you just kind of walk into the super 639 00:35:38,640 --> 00:35:40,279 Speaker 1: yacht show room and say I'll take that one and 640 00:35:40,320 --> 00:35:42,000 Speaker 1: the guy says, you know, what does it take for 641 00:35:42,040 --> 00:35:44,040 Speaker 1: me to put you in a super yott today? Um, 642 00:35:44,320 --> 00:35:46,160 Speaker 1: you have to order it. Of course, it's built to 643 00:35:46,239 --> 00:35:49,680 Speaker 1: your specifications. These things cost hundreds of millions of dollars 644 00:35:50,280 --> 00:35:54,600 Speaker 1: um and then they're they're built for you. And most 645 00:35:54,640 --> 00:35:57,960 Speaker 1: of them are not owned outright by the person who 646 00:35:58,000 --> 00:36:00,719 Speaker 1: buys them. They're bought through shell companies, and sometimes it's 647 00:36:01,400 --> 00:36:05,200 Speaker 1: a shell company inside a shell company that owns these vessels. 648 00:36:05,400 --> 00:36:07,600 Speaker 1: And so when the U S comes along and says, well, 649 00:36:07,600 --> 00:36:09,880 Speaker 1: we're gonna see this because it's owned by a sanctioned 650 00:36:09,960 --> 00:36:12,600 Speaker 1: Russian billionaire, they have to actually prove it, and that 651 00:36:12,640 --> 00:36:15,120 Speaker 1: can take a long time. So let's say they actually 652 00:36:15,120 --> 00:36:18,040 Speaker 1: do prove it or to the satisfaction of a court, 653 00:36:18,120 --> 00:36:21,600 Speaker 1: and they bring it into port and they are legally 654 00:36:21,600 --> 00:36:24,320 Speaker 1: allowed to say we have sees this as quote unquote 655 00:36:24,360 --> 00:36:27,160 Speaker 1: ill gotten gains, and they could sell it. Who's going 656 00:36:27,239 --> 00:36:31,160 Speaker 1: to buy that thing? As one person told Stephanie, Uh, 657 00:36:31,239 --> 00:36:33,239 Speaker 1: let's say you buy one of these yachts and you 658 00:36:33,400 --> 00:36:36,600 Speaker 1: sail it out into Asian waters, you know, outside the 659 00:36:36,600 --> 00:36:38,879 Speaker 1: reach of the US, and the billionaire comes back and says, 660 00:36:38,920 --> 00:36:42,080 Speaker 1: I want my boat. Uh. It's it's a risky sort 661 00:36:42,120 --> 00:36:44,600 Speaker 1: of thing to do. And so it's not that easy 662 00:36:44,840 --> 00:36:48,439 Speaker 1: to unload them. So it's not that easy to sell 663 00:36:48,480 --> 00:36:51,080 Speaker 1: them off, I guess unless you are selling them to 664 00:36:51,120 --> 00:36:54,279 Speaker 1: Russian billionaires, which can't do right now. But who is 665 00:36:54,320 --> 00:36:56,359 Speaker 1: paying for the upkeep at the end of the day, 666 00:36:56,360 --> 00:37:00,680 Speaker 1: who is paying for the cruise that maintain these huge, 667 00:37:00,719 --> 00:37:05,440 Speaker 1: beautiful boats. Well, I'm gonna give everybody listening, yes it's uh, 668 00:37:05,560 --> 00:37:09,160 Speaker 1: the taxpayers are and um. Stephanie tells the story of 669 00:37:09,200 --> 00:37:13,960 Speaker 1: this one enormous boat called Amadeia, which the US claims 670 00:37:14,040 --> 00:37:17,600 Speaker 1: is owned by this Russian gold tycoon named Suleiman Karama 671 00:37:17,680 --> 00:37:21,080 Speaker 1: who was sanctioned by the US and eighteen and they 672 00:37:21,120 --> 00:37:25,919 Speaker 1: tracked down this enormous three hundred twenty five million dollar Yeah, 673 00:37:25,960 --> 00:37:29,279 Speaker 1: it's three hundred and forty ft long. In fact, it's 674 00:37:29,360 --> 00:37:33,279 Speaker 1: so big that um. In boat parlance, it's not even 675 00:37:33,280 --> 00:37:37,040 Speaker 1: a super yacht. It's called mega yacht or a giga 676 00:37:37,120 --> 00:37:40,200 Speaker 1: yacht because it's so big. And they tracked this thing 677 00:37:40,280 --> 00:37:45,200 Speaker 1: down uh To to Fiji where it was located, and eventually, 678 00:37:45,200 --> 00:37:47,920 Speaker 1: after this very long you know, back and forth and 679 00:37:48,000 --> 00:37:52,120 Speaker 1: wrangling and questioning the crew, they hauled this thing back 680 00:37:52,120 --> 00:37:55,400 Speaker 1: to San Diego and that's where it's sitting in port. 681 00:37:56,280 --> 00:38:00,160 Speaker 1: The annual cost of keeping the Amadia in port, well 682 00:38:00,200 --> 00:38:01,640 Speaker 1: they're trying to figure out what to do with this 683 00:38:01,719 --> 00:38:04,080 Speaker 1: thing is about ten million dollars and that's paid for 684 00:38:04,200 --> 00:38:08,520 Speaker 1: by the taxpayers. So do the Russian oligarchs to purported 685 00:38:08,600 --> 00:38:11,879 Speaker 1: owners of these shots, did they have any recourse here? 686 00:38:11,920 --> 00:38:15,440 Speaker 1: What are they doing? Um? So this is also a 687 00:38:15,480 --> 00:38:20,560 Speaker 1: really interesting question. A lot of them either don't respond to, 688 00:38:21,120 --> 00:38:23,399 Speaker 1: you know, request for comment. Of course, I'm I'm really 689 00:38:23,440 --> 00:38:26,120 Speaker 1: repeating here because this is Stephanie's story. She came on 690 00:38:26,200 --> 00:38:28,640 Speaker 1: the Big Take podcast today and so I interviewed her 691 00:38:29,040 --> 00:38:33,319 Speaker 1: UM and she has said, um, that she reached out 692 00:38:33,360 --> 00:38:35,080 Speaker 1: to some of them that they didn't even answer. Others 693 00:38:35,120 --> 00:38:37,440 Speaker 1: of them say no, I'm not the owner, and the 694 00:38:37,480 --> 00:38:40,680 Speaker 1: owner can be a notional other person or it can 695 00:38:40,719 --> 00:38:42,600 Speaker 1: be a person who's the head of a shell company 696 00:38:42,600 --> 00:38:44,920 Speaker 1: and say no, no, there's the owner. They just use 697 00:38:45,080 --> 00:38:49,919 Speaker 1: the boat and so um, it's very complicated about trying 698 00:38:49,960 --> 00:38:52,239 Speaker 1: to identify that identity, and in part because they don't 699 00:38:52,239 --> 00:38:54,680 Speaker 1: just come out and say, hey, you took my boat. Yeah, 700 00:38:54,760 --> 00:38:57,200 Speaker 1: it's a it's interesting story. I didn't even think about it, 701 00:38:57,320 --> 00:38:59,160 Speaker 1: you know, I just until I read the story. It's like, 702 00:38:59,440 --> 00:39:01,799 Speaker 1: it's one thing to seize a yacht. It's another thing too, 703 00:39:02,200 --> 00:39:04,560 Speaker 1: I guess kind of do something with it, you know, 704 00:39:04,600 --> 00:39:07,439 Speaker 1: either monetize it or I don't know what West Coast about. 705 00:39:07,440 --> 00:39:09,480 Speaker 1: Thanks so much for joining us. West is the host 706 00:39:09,520 --> 00:39:12,480 Speaker 1: of Bloomberg's Big Take and again the Big Take story 707 00:39:12,760 --> 00:39:17,000 Speaker 1: is entitled and Pounded. Russian super yachts are costing millions 708 00:39:17,160 --> 00:39:20,960 Speaker 1: to maintain. So again and in this story, I saw 709 00:39:21,440 --> 00:39:23,759 Speaker 1: great photographs of these mega yachts in there, you know, 710 00:39:23,760 --> 00:39:25,440 Speaker 1: all over the world. One that one is in Spain, 711 00:39:25,560 --> 00:39:28,640 Speaker 1: one's in the UK, as West was saying, ones docked 712 00:39:28,680 --> 00:39:31,880 Speaker 1: in in San Diego. Um. And you know, these oligarchs 713 00:39:31,880 --> 00:39:33,879 Speaker 1: states tried to race out of Russian waters and get 714 00:39:33,920 --> 00:39:36,960 Speaker 1: the safe waters. Some made it, some did not. Uh, 715 00:39:37,000 --> 00:39:40,600 Speaker 1: And some had their boats seized here. Uh it's I 716 00:39:40,640 --> 00:39:42,560 Speaker 1: just thought you could just turn around and just sell it, 717 00:39:42,640 --> 00:39:44,759 Speaker 1: but apparently that's not the case. There might be some 718 00:39:44,880 --> 00:39:47,080 Speaker 1: legal issues there that they have to work out, but 719 00:39:47,120 --> 00:39:49,880 Speaker 1: a fascinating story. Uh. And you can listen to The 720 00:39:49,920 --> 00:39:53,200 Speaker 1: Big Take podcast on my Heart radio, app, Apple and 721 00:39:53,239 --> 00:39:55,480 Speaker 1: anywhere else you get your podcast. And you can listen 722 00:39:55,520 --> 00:39:57,320 Speaker 1: to The Big Take every night at love in pm 723 00:39:57,360 --> 00:40:02,040 Speaker 1: Eastern on Bloomberg Radio. Thanks for listening to the Bloomberg 724 00:40:02,080 --> 00:40:05,480 Speaker 1: Markets podcast. You can subscribe and listen to interviews of 725 00:40:05,520 --> 00:40:10,320 Speaker 1: Apple podcasts or whatever podcast platform you prefer. I'm Matt Miller. 726 00:40:10,600 --> 00:40:14,000 Speaker 1: I'm on Twitter at Matt Miller nineteen seventy three and 727 00:40:14,160 --> 00:40:16,760 Speaker 1: on Fall Sweeney I'm on Twitter at pt Sweeney. Before 728 00:40:16,800 --> 00:40:19,600 Speaker 1: the podcast. You can always catch us worldwide at Bloomberg 729 00:40:19,680 --> 00:40:19,919 Speaker 1: Radio