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 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,640 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,360 Speaker 1: at Bloomberg dot com slash podcast. Well, we had American 7 00:00:22,400 --> 00:00:27,080 Speaker 1: airlines report numbers today, smaller than expected loss uh. Cautiously 8 00:00:27,120 --> 00:00:31,160 Speaker 1: optimistic about a continued recovery, UH, particularly in domestic That's 9 00:00:31,200 --> 00:00:33,240 Speaker 1: a little bit better than what we heard from Delta 10 00:00:33,280 --> 00:00:35,760 Speaker 1: Airlines and United, and I think offered maybe a little 11 00:00:35,760 --> 00:00:39,280 Speaker 1: bit more caution here about the rebound in the airline business. 12 00:00:39,360 --> 00:00:42,360 Speaker 1: Let's dig a little bit deeper in the airline business. 13 00:00:42,400 --> 00:00:45,199 Speaker 1: We welcome Frank Homes, CEO and Chief Investment Officer of 14 00:00:45,440 --> 00:00:48,199 Speaker 1: US Global Investors. Uh. Frank, I know you have a 15 00:00:48,240 --> 00:00:52,400 Speaker 1: lot of experience with all things aviation aeronautics. You've got 16 00:00:52,400 --> 00:00:55,640 Speaker 1: your E T F J E T S, E T 17 00:00:55,800 --> 00:00:57,360 Speaker 1: F SO a lot of experience there, Frank, What are 18 00:00:57,400 --> 00:00:59,640 Speaker 1: you taking away here from what we've heard from some 19 00:00:59,680 --> 00:01:03,040 Speaker 1: of the big US airlines. Well, talking to you in 20 00:01:03,080 --> 00:01:05,240 Speaker 1: New York is the Jets et f It's not the 21 00:01:05,319 --> 00:01:10,440 Speaker 1: Jets football team, that's right, And uh, I think the 22 00:01:10,480 --> 00:01:13,760 Speaker 1: big part is what happened last year in March the 23 00:01:13,840 --> 00:01:17,280 Speaker 1: t s A started publishing daily and you get on Bloomberg. 24 00:01:17,360 --> 00:01:20,280 Speaker 1: Is a nice functionality of how many people the t 25 00:01:20,560 --> 00:01:23,679 Speaker 1: s A clear and prior to COVID it was two 26 00:01:23,760 --> 00:01:27,000 Speaker 1: point seven million people a day. Two million people a 27 00:01:27,080 --> 00:01:31,120 Speaker 1: day were just domestic travel. Seven hundred thousand were inbound 28 00:01:31,200 --> 00:01:35,399 Speaker 1: from Europe, Asia and Latin America. That number fell down 29 00:01:35,440 --> 00:01:38,920 Speaker 1: to in April mid April last year down to less 30 00:01:38,920 --> 00:01:43,080 Speaker 1: than ninety people a day. Now what we've seen is 31 00:01:43,120 --> 00:01:47,560 Speaker 1: a huge surge over a million, three million, four a 32 00:01:47,680 --> 00:01:51,320 Speaker 1: day now flying and and as that daily published, the 33 00:01:51,480 --> 00:01:54,920 Speaker 1: longer stays up of that number, the faster the airlines 34 00:01:55,000 --> 00:01:58,920 Speaker 1: can get to break even. The business traveler is not 35 00:01:59,120 --> 00:02:03,240 Speaker 1: going to come in great numbers until the until most 36 00:02:03,280 --> 00:02:07,160 Speaker 1: of the population is vaccinated. So the triangulation do you 37 00:02:07,160 --> 00:02:09,560 Speaker 1: want to take a look at it is what is 38 00:02:09,639 --> 00:02:14,760 Speaker 1: the penetration of of the population being vaccinated. Creed's got 39 00:02:14,840 --> 00:02:18,600 Speaker 1: confidence for travel. The first big movement has been tourists 40 00:02:18,600 --> 00:02:21,960 Speaker 1: can wait. The airlines have reinvented where they fly to, 41 00:02:22,400 --> 00:02:25,320 Speaker 1: like San Antonio to Miami and I'm based in San Antonio. 42 00:02:25,680 --> 00:02:28,760 Speaker 1: Used to be NonStop every morning American airlines, it's not 43 00:02:28,960 --> 00:02:32,760 Speaker 1: doing it southwest to Fort Lauderdale. You're seeing all this 44 00:02:33,080 --> 00:02:37,200 Speaker 1: reconfiguration of taking people from north to south, and the 45 00:02:37,240 --> 00:02:40,160 Speaker 1: airlines have been able to move people for tourism. That 46 00:02:40,360 --> 00:02:43,160 Speaker 1: business traveler is going to wait and probably what I 47 00:02:43,200 --> 00:02:47,680 Speaker 1: think is until about six people have had their second 48 00:02:47,720 --> 00:02:52,200 Speaker 1: needle uh for the vaccine process, that conference will then 49 00:02:52,240 --> 00:02:54,120 Speaker 1: see it. I mean, I love that you brought up 50 00:02:54,160 --> 00:02:56,240 Speaker 1: the business travel. Correct me if I'm wrong, But we 51 00:02:56,320 --> 00:02:59,360 Speaker 1: think that the business travel is a higher profitable, better 52 00:02:59,560 --> 00:03:04,120 Speaker 1: margin and traveler than the leisure traveler going on vacation. 53 00:03:04,280 --> 00:03:06,640 Speaker 1: What does that mean then for the composition of the 54 00:03:06,680 --> 00:03:10,360 Speaker 1: margin mix of the profitability for these airlines they're looking 55 00:03:10,400 --> 00:03:15,200 Speaker 1: to get back to being profitable. It explodes, you know, 56 00:03:15,240 --> 00:03:17,880 Speaker 1: it's it's massive. And the other big part that the 57 00:03:17,919 --> 00:03:21,280 Speaker 1: real big wind will be Europe when Europe finally gets 58 00:03:21,280 --> 00:03:24,560 Speaker 1: his act together and getting more people vaccinated and travel 59 00:03:24,600 --> 00:03:27,799 Speaker 1: opens up over there. Because jess As is a global 60 00:03:27,880 --> 00:03:33,280 Speaker 1: airlines index um that recalibrates every quarter and picking those 61 00:03:33,320 --> 00:03:36,680 Speaker 1: with the strongest financial stocks. So I think that the 62 00:03:36,760 --> 00:03:40,640 Speaker 1: big opportunities will be business travels. More people vaccinate here 63 00:03:41,000 --> 00:03:44,840 Speaker 1: and Europe opens up this summer. UH, this will busial 64 00:03:44,960 --> 00:03:48,920 Speaker 1: fast track the profitability of the airlines from both business 65 00:03:48,960 --> 00:03:53,440 Speaker 1: travel and international travel. The tickets are much more profitable 66 00:03:53,800 --> 00:03:58,640 Speaker 1: across the pond travel Franks or is there still a 67 00:03:58,760 --> 00:04:02,440 Speaker 1: risk for some of these carriers here. Um, you know, 68 00:04:02,520 --> 00:04:08,440 Speaker 1: they really can't have stained profitability without um, their international travel, 69 00:04:08,480 --> 00:04:12,120 Speaker 1: without their business travel. And again we're seeing some pandemic numbers, 70 00:04:12,240 --> 00:04:14,480 Speaker 1: most notably today out of India that are just really 71 00:04:14,520 --> 00:04:17,920 Speaker 1: going the wrong way. Um. Is there still that cloud 72 00:04:17,960 --> 00:04:21,120 Speaker 1: hanging over whether these companies can survive, particularly those with 73 00:04:21,480 --> 00:04:26,120 Speaker 1: you know, UH more leverage balance sheets. Well, it's a 74 00:04:26,160 --> 00:04:28,159 Speaker 1: great question. But I think what we've seen is the 75 00:04:28,240 --> 00:04:33,120 Speaker 1: capital markets have been so fluid UH and in raising 76 00:04:33,160 --> 00:04:38,000 Speaker 1: capital it's been inexpensive, and there's new mechanisms from UH 77 00:04:38,040 --> 00:04:40,440 Speaker 1: and at the market mechanism a t M, they call 78 00:04:40,520 --> 00:04:45,800 Speaker 1: it ability to raise capital. We've seen price discovery explode 79 00:04:45,839 --> 00:04:48,560 Speaker 1: in the past year with all the robin Hood investors 80 00:04:48,600 --> 00:04:54,400 Speaker 1: that coming in, and and that liquidity attracts other bigger 81 00:04:54,480 --> 00:04:57,960 Speaker 1: fund managers and institutions. So I think the system is 82 00:04:58,000 --> 00:05:03,159 Speaker 1: a Washwood capital and I don't think it's it's it's 83 00:05:03,279 --> 00:05:07,080 Speaker 1: easy to see how fast facts are exploding. Uh And 84 00:05:07,080 --> 00:05:11,400 Speaker 1: and the capital markets are to be very exciting for investors. 85 00:05:11,440 --> 00:05:13,640 Speaker 1: And I think we're going to continue to see more 86 00:05:13,680 --> 00:05:16,400 Speaker 1: capital formation by these airlines be able to tap those 87 00:05:16,440 --> 00:05:20,239 Speaker 1: complo markets. Curveball here, we're going to go from jets 88 00:05:20,360 --> 00:05:23,560 Speaker 1: into bitcoin. What the heck are your clients asking you 89 00:05:23,640 --> 00:05:29,040 Speaker 1: about bitcoin and the shake out below fifty? Well, you know, 90 00:05:29,080 --> 00:05:32,920 Speaker 1: I launched the first public company to mind cryptocurrencies. It's 91 00:05:32,920 --> 00:05:37,960 Speaker 1: called high Blockchain Technology, and uh it minds e theorum 92 00:05:37,960 --> 00:05:41,520 Speaker 1: and bitcoin. I think that the bitcoin is going through, 93 00:05:41,839 --> 00:05:45,320 Speaker 1: uh it's it's sort of normal, big correction. I think 94 00:05:45,400 --> 00:05:49,840 Speaker 1: it's temporary. You're seeing more and more adoption PayPal venmo. 95 00:05:50,600 --> 00:05:52,839 Speaker 1: People can go on and buy a fraction of bitcoin. 96 00:05:52,880 --> 00:05:55,640 Speaker 1: They don't have to worry about fifty five thousand dollars spending. 97 00:05:55,880 --> 00:05:59,720 Speaker 1: They can buy five thousand dollars. Uh And And and 98 00:05:59,760 --> 00:06:02,240 Speaker 1: as you get more and more people adopting to this, 99 00:06:02,880 --> 00:06:06,400 Speaker 1: now thirty five million going to forty million, they call wallets. 100 00:06:06,560 --> 00:06:10,920 Speaker 1: Uh And, you have a limited supply Metcalf's law suggests 101 00:06:11,120 --> 00:06:13,799 Speaker 1: if it goes to a hundred thousand, So I've always 102 00:06:13,839 --> 00:06:17,680 Speaker 1: advocated a two percent waiting in that asset class is 103 00:06:17,720 --> 00:06:20,400 Speaker 1: an alternative asset class. You can do it through the 104 00:06:20,440 --> 00:06:23,760 Speaker 1: cryptical mining companies, or you could do it directly. You 105 00:06:23,839 --> 00:06:26,760 Speaker 1: can't buy stocks on your Bend Moore account, and you 106 00:06:26,800 --> 00:06:30,720 Speaker 1: can't buy on PayPal, but you can buy bitcoin and 107 00:06:30,720 --> 00:06:36,279 Speaker 1: and that is a very important long term adoption. Frank Holmes, CEO, 108 00:06:36,400 --> 00:06:39,640 Speaker 1: Chief investment officer for US Global Investors, thank you so 109 00:06:39,720 --> 00:06:43,080 Speaker 1: much for joining us today getting the report Paul on 110 00:06:43,440 --> 00:06:46,960 Speaker 1: jets airlines and bitcoin as coin base it ees a 111 00:06:47,040 --> 00:06:49,440 Speaker 1: three hundred level at a three oh six. Yeah, I know. 112 00:06:49,560 --> 00:06:51,880 Speaker 1: It's it's interesting the volatility in bitcoin, which is a 113 00:06:51,920 --> 00:06:54,760 Speaker 1: big driver of coin base, is with us and this 114 00:06:54,800 --> 00:06:57,880 Speaker 1: Franco suggesting maybe that's just a regular form of a 115 00:06:58,120 --> 00:07:01,240 Speaker 1: correction in that currency. So we'll more coming up. This 116 00:07:01,839 --> 00:07:08,320 Speaker 1: is Bloomberg, all right. We got the leading economic indicator 117 00:07:08,440 --> 00:07:10,440 Speaker 1: data point for the month of March came in at 118 00:07:10,720 --> 00:07:13,239 Speaker 1: uh where did it come in at one point three 119 00:07:13,840 --> 00:07:16,560 Speaker 1: uh percent? Um? You know better than a one percent? Look, 120 00:07:16,640 --> 00:07:20,200 Speaker 1: so we had the the actual economic indicator increased one 121 00:07:20,200 --> 00:07:22,280 Speaker 1: point three percent came in and one eleven point six 122 00:07:22,520 --> 00:07:24,920 Speaker 1: that's pretty good. That follows a one zero point one 123 00:07:24,920 --> 00:07:28,480 Speaker 1: percent decrease in February. So pretty strong numbers coming out 124 00:07:28,560 --> 00:07:30,640 Speaker 1: of the month of month of March for the U 125 00:07:30,680 --> 00:07:32,960 Speaker 1: S economy. Let's dig down a little bit deeper. We 126 00:07:33,000 --> 00:07:36,280 Speaker 1: will do that with Ottoman Oldrum, Senior Director Economics and 127 00:07:36,320 --> 00:07:40,200 Speaker 1: Global Research Chair at the Conference Board. So Aduman, thanks 128 00:07:40,200 --> 00:07:42,200 Speaker 1: so much for joining us. Once again, pretty good numbers 129 00:07:42,200 --> 00:07:43,760 Speaker 1: in March. Is that just kind of a catch up 130 00:07:43,800 --> 00:07:49,120 Speaker 1: from what was a tough winter month in February. Good morning, Paul, 131 00:07:49,160 --> 00:07:53,640 Speaker 1: great to be here. Uh, yeah, the Leading Indicators had 132 00:07:53,760 --> 00:07:58,240 Speaker 1: quite a positive report this morning. Um if February was 133 00:07:58,440 --> 00:08:03,400 Speaker 1: slightly uh negative, revised down a little bit. So it 134 00:08:03,520 --> 00:08:06,760 Speaker 1: was a rough sort of winter months in the beginning 135 00:08:06,880 --> 00:08:09,760 Speaker 1: of the year. So part of this is catch up, 136 00:08:09,800 --> 00:08:13,560 Speaker 1: but it really is also the continuation of the positive 137 00:08:13,840 --> 00:08:19,600 Speaker 1: momentum that the leading index had been building since you know, 138 00:08:19,680 --> 00:08:21,760 Speaker 1: say the middle of last year. You know, with the 139 00:08:21,800 --> 00:08:26,440 Speaker 1: reopening of the economy, um and more good news is 140 00:08:26,520 --> 00:08:30,160 Speaker 1: kind of feeding into the economy and the leading indicators 141 00:08:30,440 --> 00:08:33,440 Speaker 1: looking ahead. Now. I think what really stood out to 142 00:08:33,440 --> 00:08:39,120 Speaker 1: me is that all ten components are contributedly contributing positively. 143 00:08:39,240 --> 00:08:41,400 Speaker 1: What are those ten components? What are you seeing that 144 00:08:41,559 --> 00:08:46,280 Speaker 1: is really leading this recovery? Yes, so that is very 145 00:08:46,320 --> 00:08:51,360 Speaker 1: good news. Indeed, so all ten components are contributing positively. 146 00:08:51,720 --> 00:08:55,199 Speaker 1: There are really kind of five areas that are grouped 147 00:08:55,240 --> 00:08:58,840 Speaker 1: together in this leading index. Uh and uh so those 148 00:08:58,880 --> 00:09:04,560 Speaker 1: are you know, labor mark, hits, manufacturing, consumers outlook, construction, 149 00:09:04,800 --> 00:09:10,600 Speaker 1: and financial indicators, and all areas are flashing very positive. Um. 150 00:09:10,960 --> 00:09:15,080 Speaker 1: So you in the program, you mentioned unemployment insurance claims. 151 00:09:15,160 --> 00:09:17,679 Speaker 1: That is one of the components. Uh, and it is 152 00:09:17,720 --> 00:09:22,280 Speaker 1: continuing to drop uh and feeding into those positive contributions. 153 00:09:22,679 --> 00:09:25,959 Speaker 1: The good sign from labor markets and that really is 154 00:09:26,040 --> 00:09:30,560 Speaker 1: kind of the beginning of a virtuous cycle that feeds 155 00:09:30,559 --> 00:09:35,400 Speaker 1: on itself, right, and that's manufacturing orders are rising, Supply 156 00:09:35,520 --> 00:09:39,959 Speaker 1: managers are very positive about the outlook. Consumers outlook is 157 00:09:40,000 --> 00:09:45,319 Speaker 1: also become much more positive about the expectations. Uh and 158 00:09:45,640 --> 00:09:49,840 Speaker 1: we would expect that to translate into more spending. Housing 159 00:09:49,880 --> 00:09:54,000 Speaker 1: permits are increasing after the bad winter months. There's a 160 00:09:54,000 --> 00:09:58,560 Speaker 1: pick up there. Um. And financial indicators are also feeding 161 00:09:58,600 --> 00:10:02,200 Speaker 1: positively in the into the leading index. Autuman. You know 162 00:10:02,200 --> 00:10:04,680 Speaker 1: it's kind of a weird paradox in the labor market. 163 00:10:04,720 --> 00:10:06,800 Speaker 1: You know. What's we still have so many people unemployed, 164 00:10:06,880 --> 00:10:10,000 Speaker 1: much higher than we would like, certainly economists would like. 165 00:10:10,559 --> 00:10:12,760 Speaker 1: Yet what we hear from employers across the board as 166 00:10:12,800 --> 00:10:16,480 Speaker 1: they're having a very difficult time filling positions, particularly on 167 00:10:16,559 --> 00:10:18,960 Speaker 1: the lower end, and they often cite the fact that 168 00:10:19,000 --> 00:10:21,600 Speaker 1: it's tough to compete against some of the government fiscal 169 00:10:21,600 --> 00:10:26,840 Speaker 1: stimulus in terms of UH enhanced unemployment. How's that factoring 170 00:10:26,840 --> 00:10:28,760 Speaker 1: into the economy? Is that a risk at all to 171 00:10:29,040 --> 00:10:34,080 Speaker 1: kind of the reopening of this economy? So it is 172 00:10:34,120 --> 00:10:38,600 Speaker 1: one of the potential risks as the economy kind of 173 00:10:38,679 --> 00:10:42,760 Speaker 1: builds more momentum. UH. There is UH has been a 174 00:10:42,760 --> 00:10:46,040 Speaker 1: lot of labor market disruption and UH. You know, it's 175 00:10:46,040 --> 00:10:50,080 Speaker 1: not just in the macro top level numbers, but when 176 00:10:50,120 --> 00:10:52,800 Speaker 1: you look at the detail of the different sectors that 177 00:10:52,880 --> 00:10:57,439 Speaker 1: laid off workers, there's a lot of UH variety across 178 00:10:57,480 --> 00:11:03,360 Speaker 1: different sectors. You know, some continued along UH and some 179 00:11:03,480 --> 00:11:06,600 Speaker 1: really shed a lot of workers, which they're now trying 180 00:11:06,640 --> 00:11:09,719 Speaker 1: to you know, higher back UH. And that sort of 181 00:11:10,200 --> 00:11:13,680 Speaker 1: kind of perpetuates the disruptions that we've been seeing and 182 00:11:13,760 --> 00:11:18,640 Speaker 1: that could the difficulty of finding and hiring workers could 183 00:11:18,720 --> 00:11:22,840 Speaker 1: lead to you know, wage pressures uh in different sectors 184 00:11:22,920 --> 00:11:28,000 Speaker 1: differentially and create even more disruptions in a way, kind 185 00:11:28,000 --> 00:11:31,240 Speaker 1: of trying to move workers from one sector to another. 186 00:11:31,280 --> 00:11:33,800 Speaker 1: It's not that easy and you'd have to pay them 187 00:11:33,800 --> 00:11:39,400 Speaker 1: even higher and uh, and that difficulty in hiring could continue. 188 00:11:39,480 --> 00:11:42,560 Speaker 1: And um, you know, my colleagues at the Conference Board 189 00:11:43,040 --> 00:11:47,439 Speaker 1: have already started talking about labor shortages, you know, coming back. 190 00:11:47,800 --> 00:11:50,800 Speaker 1: This is not something that we saw over the last year, 191 00:11:51,200 --> 00:11:53,920 Speaker 1: and they may, indeed, you know, come back earlier than 192 00:11:54,320 --> 00:11:57,600 Speaker 1: we might have expected. Yeah, it's a really interesting dynamic 193 00:11:57,640 --> 00:12:00,520 Speaker 1: to what is an improving labor market. Au amount Uzel Drum, 194 00:12:00,720 --> 00:12:03,360 Speaker 1: thank you so much for joining us. Automan is a 195 00:12:03,440 --> 00:12:06,960 Speaker 1: director of Economic Research and Global Research Chair at the 196 00:12:06,960 --> 00:12:10,320 Speaker 1: Conference Board. Again, the March leading Economic indicator came in 197 00:12:10,360 --> 00:12:12,719 Speaker 1: with a growth rate of one point three percent. The 198 00:12:12,760 --> 00:12:15,679 Speaker 1: consensus was one percent, so better than expected and his 199 00:12:15,760 --> 00:12:19,439 Speaker 1: Ottoman was mentioning kind of across the board improvements, a 200 00:12:19,480 --> 00:12:21,480 Speaker 1: little bit of catch up from the week winter months, 201 00:12:21,480 --> 00:12:26,000 Speaker 1: but certainly a strong number. You know, Taylor, back in 202 00:12:26,040 --> 00:12:27,800 Speaker 1: the day, I used to work at Credit Swiss or 203 00:12:27,800 --> 00:12:30,760 Speaker 1: what was then known as Credit Swiss first Boston, so 204 00:12:30,800 --> 00:12:33,400 Speaker 1: I tend to follow the company and for newsflow to 205 00:12:33,440 --> 00:12:36,120 Speaker 1: see what's the latest there, and the boy, they've been 206 00:12:36,160 --> 00:12:39,400 Speaker 1: in the news but for all the wrong reasons. Let's 207 00:12:39,440 --> 00:12:42,439 Speaker 1: get the latest on Credit Swiss. We go to our 208 00:12:42,559 --> 00:12:47,200 Speaker 1: ACE Banks analyst from Bloomberg Intelligence. That would be Alison Williams. 209 00:12:47,640 --> 00:12:50,200 Speaker 1: She's been with Bloomberg Intelligence covering the banks. It's the 210 00:12:50,240 --> 00:12:52,800 Speaker 1: beginning of Bloomberg Intelligence about twelve years ago. Before that, 211 00:12:52,840 --> 00:12:56,160 Speaker 1: she was at Morgan Stanley Investment Management investing in a 212 00:12:56,160 --> 00:12:58,160 Speaker 1: lot of these big banks. Allison, thanks so much for 213 00:12:58,240 --> 00:13:02,319 Speaker 1: joining us here. Boy, it just seems like Credit Swisch 214 00:13:02,400 --> 00:13:05,040 Speaker 1: just goes from minefield to mindfield and they just step 215 00:13:05,080 --> 00:13:08,160 Speaker 1: on these minds all the time. Give us the latest 216 00:13:08,200 --> 00:13:09,800 Speaker 1: on what's going on there and how they're trying to 217 00:13:09,880 --> 00:13:12,840 Speaker 1: kind of get past it. I guess I think that 218 00:13:13,160 --> 00:13:16,520 Speaker 1: the latest today UM a couple of key things. First 219 00:13:16,559 --> 00:13:19,839 Speaker 1: of all, um, they did a convertible offering raising two 220 00:13:19,880 --> 00:13:23,079 Speaker 1: billion of capital. I think that's I think that's a 221 00:13:23,200 --> 00:13:27,160 Speaker 1: good step towards risk management, right because even though they 222 00:13:27,160 --> 00:13:29,480 Speaker 1: had the capital to absorb the loss. I think this 223 00:13:29,520 --> 00:13:33,280 Speaker 1: will help to study the ship it'll stop UM questions 224 00:13:33,280 --> 00:13:36,120 Speaker 1: swirling around the positions, especially since we know that there's 225 00:13:36,160 --> 00:13:41,360 Speaker 1: another UM arts charge related coming in next quarter. We 226 00:13:41,440 --> 00:13:46,600 Speaker 1: know that there's probably a regulatory and legal fallout to come. UM. 227 00:13:46,760 --> 00:13:51,680 Speaker 1: So granted it is dilutive to shareholders, but UM, but 228 00:13:51,760 --> 00:13:55,560 Speaker 1: I think that UM it's it's smart from a risk 229 00:13:55,760 --> 00:13:59,800 Speaker 1: management perspective. And then much of the other changes are 230 00:14:00,000 --> 00:14:02,600 Speaker 1: exactly what you'd expect. They're going to be pulling back 231 00:14:02,800 --> 00:14:06,280 Speaker 1: within the prime brokerage unit UM, cutting that business by 232 00:14:06,320 --> 00:14:08,680 Speaker 1: about a third. They're going to be UM pulling which 233 00:14:08,720 --> 00:14:11,360 Speaker 1: will result in you know, paring down at the investment 234 00:14:11,360 --> 00:14:16,000 Speaker 1: bank balance sheet UM by about ten percent. UM. There's 235 00:14:16,040 --> 00:14:20,160 Speaker 1: obviously been changes in management for the prime brokerage unit. 236 00:14:20,240 --> 00:14:23,680 Speaker 1: The Preston Bank had the chief risk officer. Again UM, 237 00:14:23,760 --> 00:14:26,520 Speaker 1: these are all things you'd expect. They continue to do 238 00:14:26,560 --> 00:14:30,040 Speaker 1: a review UM and they continue to make progress UM 239 00:14:30,080 --> 00:14:32,360 Speaker 1: in the asset management business related to some of the 240 00:14:32,400 --> 00:14:35,800 Speaker 1: green Filly issues. You know, Allison, big picture, it's interesting 241 00:14:35,840 --> 00:14:38,440 Speaker 1: the timing. I'm in a class right now called managing 242 00:14:38,640 --> 00:14:43,160 Speaker 1: financial risk. We're learning how to calculate var and expected shortfall. 243 00:14:43,640 --> 00:14:46,920 Speaker 1: Where were the var where were the risk parameters? Of 244 00:14:47,000 --> 00:14:52,680 Speaker 1: credit suites that allowed this to happen. So UM. I 245 00:14:52,720 --> 00:14:55,360 Speaker 1: think the most important lesson on var which hopefully you're 246 00:14:55,400 --> 00:14:58,440 Speaker 1: also learning, is that it's a flawed measure and it's 247 00:14:58,520 --> 00:15:01,760 Speaker 1: backwards looking. So bar is going to look, you know, 248 00:15:02,280 --> 00:15:05,880 Speaker 1: um pretty ugly for Credit Sweee going forward. Although the 249 00:15:05,960 --> 00:15:09,360 Speaker 1: interesting thing is that you know they this this generally 250 00:15:09,360 --> 00:15:12,200 Speaker 1: would be considered a contra revenue item because but because 251 00:15:12,200 --> 00:15:14,920 Speaker 1: of the size of the item um, they booked it 252 00:15:14,960 --> 00:15:17,720 Speaker 1: as a charge and as a provision, so outside of 253 00:15:17,720 --> 00:15:20,200 Speaker 1: their unit you know, in contrast to Morgan Stanley that 254 00:15:20,320 --> 00:15:25,440 Speaker 1: absorbed it um within their revenue um. You know this 255 00:15:25,680 --> 00:15:28,040 Speaker 1: The second part of it is, you know, tier point 256 00:15:28,160 --> 00:15:32,280 Speaker 1: risk management and in these divisions, you know, there's there's 257 00:15:32,280 --> 00:15:35,280 Speaker 1: generally all different types of tools by product, by client, 258 00:15:35,360 --> 00:15:37,320 Speaker 1: by size of the exposure. And I think it's the 259 00:15:37,360 --> 00:15:40,800 Speaker 1: size of the exposure versus the size of the unit 260 00:15:41,600 --> 00:15:46,800 Speaker 1: um that that really UM was outsized because if you 261 00:15:46,840 --> 00:15:49,480 Speaker 1: think about you know, Credit Sweee probably makes about a 262 00:15:49,520 --> 00:15:52,120 Speaker 1: billion dollars a year for the last couple of years 263 00:15:52,120 --> 00:15:55,120 Speaker 1: from prime BROKERA. It's it's our estimate that a five 264 00:15:55,160 --> 00:15:59,960 Speaker 1: billion dollar UM loss on this client. You know, Morgan Stanley, 265 00:16:00,280 --> 00:16:03,920 Speaker 1: um you know, is probably at least double that. They've 266 00:16:03,920 --> 00:16:06,880 Speaker 1: made forty billion over the last ten years and they 267 00:16:06,920 --> 00:16:09,840 Speaker 1: had a one million dollar loss, and and they're they're 268 00:16:09,920 --> 00:16:12,280 Speaker 1: much bigger in the business and than Credit Suite. So 269 00:16:13,040 --> 00:16:16,200 Speaker 1: it signals that perhaps, you know that this bank was 270 00:16:16,280 --> 00:16:19,320 Speaker 1: taking outside risks. The question is, you know, were they 271 00:16:19,400 --> 00:16:22,960 Speaker 1: were they taking outside risks in terms of the you 272 00:16:23,000 --> 00:16:25,600 Speaker 1: know that just the exposure to this client, just trying 273 00:16:25,640 --> 00:16:28,880 Speaker 1: to get bigger in the business. And then obviously there's 274 00:16:29,000 --> 00:16:31,880 Speaker 1: um as I'm sure you know and has been um 275 00:16:32,040 --> 00:16:35,320 Speaker 1: well discussed. There were specific issues the family office, the 276 00:16:35,400 --> 00:16:40,200 Speaker 1: lack of transparency, etcetera, um that were sort of unique 277 00:16:40,200 --> 00:16:43,840 Speaker 1: to the situation. Alison. You know, again, I've got a 278 00:16:43,880 --> 00:16:45,400 Speaker 1: lot of history with this firm and and it just 279 00:16:45,400 --> 00:16:48,440 Speaker 1: seems like there's there's always some big, big control issues, 280 00:16:48,520 --> 00:16:52,440 Speaker 1: some big bad trades, big bad investments, charges all over 281 00:16:52,480 --> 00:16:56,400 Speaker 1: the place. When did when does the board get held responsible? 282 00:16:56,400 --> 00:16:58,440 Speaker 1: I mean, blowing out your investment banking chief and your 283 00:16:58,480 --> 00:17:02,240 Speaker 1: chief risk officer. Okay, I get it, but what does 284 00:17:02,280 --> 00:17:04,680 Speaker 1: the board take some responsibility here? Because it just seems 285 00:17:04,720 --> 00:17:08,800 Speaker 1: systematic almost to this firm. Well, you know, one of 286 00:17:08,800 --> 00:17:12,840 Speaker 1: the reasons why Credit Sweez was able to offset this 287 00:17:12,920 --> 00:17:16,639 Speaker 1: loss was reduction and compensation. And you know one of 288 00:17:16,680 --> 00:17:19,920 Speaker 1: the things that the bank did um when they had 289 00:17:19,960 --> 00:17:23,280 Speaker 1: sort of flagged the initial or when I guess they 290 00:17:23,280 --> 00:17:26,399 Speaker 1: first sized the four point four billion franc four point 291 00:17:26,560 --> 00:17:30,560 Speaker 1: seven billion charge um turned out to be more, but 292 00:17:30,800 --> 00:17:34,320 Speaker 1: they you know, went back and adjusted um, you know, 293 00:17:34,440 --> 00:17:38,359 Speaker 1: executive compensation um for the years prior. And that's and 294 00:17:38,440 --> 00:17:41,879 Speaker 1: that's something also that that's I guess relatively new to 295 00:17:41,920 --> 00:17:46,000 Speaker 1: the industry, but you know, clawing back um compensation when 296 00:17:46,000 --> 00:17:50,199 Speaker 1: when things like this happen. Yeah, interesting, just extraordinary to 297 00:17:50,200 --> 00:17:52,399 Speaker 1: watch this happen. And again that two billion dollar convert 298 00:17:52,680 --> 00:17:56,440 Speaker 1: offering um perhaps strengthen off that balance sheet. Allison Williams, 299 00:17:56,600 --> 00:17:58,639 Speaker 1: thanks so much for joining us. Always appreciate getting your 300 00:17:58,640 --> 00:18:03,399 Speaker 1: perspective on these global investment banks. Allison leads our banks 301 00:18:03,520 --> 00:18:07,879 Speaker 1: coverage for Bloomberg Intelligence, the research arm of Bloomberg, and 302 00:18:08,119 --> 00:18:10,800 Speaker 1: Boy Taylor just seems they can't get out of their 303 00:18:10,800 --> 00:18:12,439 Speaker 1: own way. Sometimes I just need her to do my 304 00:18:12,520 --> 00:18:16,520 Speaker 1: bar homework, Paul, That's the only thing I need exactly. Yeah, 305 00:18:16,560 --> 00:18:18,560 Speaker 1: I mean she's had a lot of experience again, you know, 306 00:18:18,600 --> 00:18:21,320 Speaker 1: investing in these banks. She knows all the management teams, 307 00:18:21,359 --> 00:18:23,679 Speaker 1: she knows all the strategies, she knows where all the 308 00:18:23,680 --> 00:18:26,639 Speaker 1: bodies are are buried in when you're looking at Credit 309 00:18:26,680 --> 00:18:30,159 Speaker 1: Swiss again, just so many things to be wary of 310 00:18:30,320 --> 00:18:32,320 Speaker 1: if you are investing in that company. But we'll have 311 00:18:32,359 --> 00:18:38,560 Speaker 1: to see how it plays out. This is Bloomberg time 312 00:18:38,640 --> 00:18:42,000 Speaker 1: for Bloomberg Opinion. Today we have Carl Smith. He's Bloomberg 313 00:18:42,000 --> 00:18:44,840 Speaker 1: Opinion columnist for Bloomberg Opinion. He's kind of fascinating column 314 00:18:44,840 --> 00:18:49,720 Speaker 1: here entitled repealing salt cap would be wrong move for Democrats. 315 00:18:49,760 --> 00:18:51,480 Speaker 1: And then someone lives in the Metro New York area, 316 00:18:51,480 --> 00:18:54,600 Speaker 1: one of those high tax areas that cap on the 317 00:18:54,760 --> 00:18:57,439 Speaker 1: state and local taxes. Really hit home when you have 318 00:18:57,520 --> 00:19:00,280 Speaker 1: followed the taxes, and uh, it's not just the Metro 319 00:19:00,320 --> 00:19:03,399 Speaker 1: newerk areas, other high tax areas Taylor where that was 320 00:19:03,400 --> 00:19:06,040 Speaker 1: a big issue. Paul. It's the only thing municipal bond 321 00:19:06,040 --> 00:19:08,440 Speaker 1: investors care about right now. That's the only reason we're 322 00:19:08,440 --> 00:19:10,240 Speaker 1: doing this story. They knew I was going to be 323 00:19:10,280 --> 00:19:12,560 Speaker 1: on radio. They pushed Matt Miller out. No one in 324 00:19:12,600 --> 00:19:16,440 Speaker 1: Berlin even knows what this is. Municipal bond investors only 325 00:19:16,480 --> 00:19:20,480 Speaker 1: care about the salt repeal if it gets repealed or not. 326 00:19:20,640 --> 00:19:23,040 Speaker 1: That cap deduction, Paul, I know it's big, it's big. 327 00:19:23,040 --> 00:19:24,760 Speaker 1: It's something I bring up all the type. Carl, thanks 328 00:19:24,800 --> 00:19:27,200 Speaker 1: so much for joining us here. I'd like to see 329 00:19:27,200 --> 00:19:32,800 Speaker 1: the saltcap repealed. Why should Democrats not pursue that? Well, 330 00:19:32,840 --> 00:19:35,440 Speaker 1: so it's understandable why a lot of people in you know, Mentro, 331 00:19:35,520 --> 00:19:38,879 Speaker 1: New York and California high cost areas, UM took a 332 00:19:38,880 --> 00:19:40,879 Speaker 1: big bite on that. But if we look at so 333 00:19:41,040 --> 00:19:45,520 Speaker 1: the economics of the repeal, UM, it's it's pretty it's 334 00:19:45,520 --> 00:19:48,040 Speaker 1: pretty regressive. So I think there's been some analysis that 335 00:19:48,160 --> 00:19:52,320 Speaker 1: like on net, it's more regressive than the tax cuts 336 00:19:52,320 --> 00:19:54,680 Speaker 1: and Jobs Acts work. That is, more of the benefits 337 00:19:54,680 --> 00:19:58,920 Speaker 1: from salt cap repeal would go to UM top five 338 00:19:58,920 --> 00:20:01,639 Speaker 1: per st of owners, top one sin of earners then 339 00:20:01,920 --> 00:20:06,600 Speaker 1: went to that group during the TCJ altogether. So it's 340 00:20:06,600 --> 00:20:09,200 Speaker 1: it's unusual for Democrats. And then it's a little bit 341 00:20:09,240 --> 00:20:13,399 Speaker 1: more skewed towards UM higher earners and even sort of 342 00:20:13,400 --> 00:20:16,440 Speaker 1: Republican tax policies. UM. So that's why I think it's 343 00:20:16,480 --> 00:20:18,840 Speaker 1: kind of a kind of a bad fit for you know, 344 00:20:19,000 --> 00:20:23,119 Speaker 1: where Democrats at least say their priorities are. UM. It 345 00:20:23,119 --> 00:20:25,919 Speaker 1: also does take revenue, and we're in a we're in 346 00:20:25,960 --> 00:20:28,080 Speaker 1: a place now where you know, the government has spent 347 00:20:28,119 --> 00:20:30,600 Speaker 1: a lot of money, much of that was borrowed UM. 348 00:20:30,680 --> 00:20:33,120 Speaker 1: The President Joe Biden, has indicated that he doesn't want 349 00:20:33,119 --> 00:20:35,480 Speaker 1: to continue that, that he wants to fund most of 350 00:20:35,520 --> 00:20:38,399 Speaker 1: the new initiatives, and so that's gonna take revenue. So 351 00:20:38,400 --> 00:20:40,520 Speaker 1: if you want to do the big things on infrastructure, 352 00:20:40,760 --> 00:20:44,000 Speaker 1: that's gonna take revenue. Saltcaps, so it takes away from that. 353 00:20:44,000 --> 00:20:46,080 Speaker 1: I mean, few of those things can be done, and 354 00:20:46,119 --> 00:20:49,240 Speaker 1: so it's kind of a policy that just doesn't fit 355 00:20:49,320 --> 00:20:52,000 Speaker 1: with where the Democrats want to go and what they 356 00:20:52,000 --> 00:20:54,560 Speaker 1: say their priorities are. I also think that it's it's 357 00:20:54,560 --> 00:20:57,480 Speaker 1: not really popular with UM a lot of Republicans either, 358 00:20:57,480 --> 00:20:59,840 Speaker 1: so it's kind of a loser on that side as well. 359 00:20:59,880 --> 00:21:01,880 Speaker 1: I love that you bring up the fight between Democrats 360 00:21:01,920 --> 00:21:04,480 Speaker 1: and Republicans, but then really and maybe more importantly, the 361 00:21:04,520 --> 00:21:06,600 Speaker 1: fight within the Democratic Party. I mean, you think of 362 00:21:06,640 --> 00:21:08,639 Speaker 1: the ao c s who say, no way, this is 363 00:21:09,000 --> 00:21:11,600 Speaker 1: a loophole for the rich, and then you have maybe 364 00:21:11,600 --> 00:21:13,960 Speaker 1: more moderates you're thinking the chuck humor saying we really 365 00:21:14,000 --> 00:21:16,399 Speaker 1: need this to be included this repeal if we're going 366 00:21:16,440 --> 00:21:19,600 Speaker 1: to get through this broader tax plan. What are the 367 00:21:19,680 --> 00:21:23,439 Speaker 1: conversations within the Democratic Party about how they're going to 368 00:21:23,480 --> 00:21:28,280 Speaker 1: get this done or not? Is this all just cultural politics? Yes? 369 00:21:28,359 --> 00:21:29,800 Speaker 1: So I think that one of the one of the 370 00:21:29,840 --> 00:21:32,800 Speaker 1: things that's made that's really complicated is that UM during 371 00:21:32,840 --> 00:21:36,480 Speaker 1: tc J A, Republicans are looking for ways to fund 372 00:21:36,480 --> 00:21:40,160 Speaker 1: the corporate tax cut UH, and something that economists really 373 00:21:40,160 --> 00:21:42,720 Speaker 1: have pushed for a long time is capping or get 374 00:21:42,800 --> 00:21:44,760 Speaker 1: rid of getting rid of the state and local tax 375 00:21:44,800 --> 00:21:49,920 Speaker 1: deduction UM. We think that it's it basically subsidizes UH 376 00:21:50,040 --> 00:21:53,000 Speaker 1: states that have high levels of taxation, and there's no 377 00:21:53,040 --> 00:21:56,240 Speaker 1: particular reason to do that or increasing efficiency. But anyway, 378 00:21:56,359 --> 00:21:59,080 Speaker 1: so the Republicans went towards that, but they had this 379 00:21:59,200 --> 00:22:02,159 Speaker 1: problem and that it's a tax increase. So how do 380 00:22:02,200 --> 00:22:06,359 Speaker 1: they justify this tax increase? And some of the some 381 00:22:06,400 --> 00:22:09,359 Speaker 1: of the President Trump's allies got on the idea that 382 00:22:09,400 --> 00:22:12,240 Speaker 1: we'll call it the blue state tax increase. Wool emphasize 383 00:22:12,280 --> 00:22:15,040 Speaker 1: that only like blue states are gonna pay. And in particular, 384 00:22:15,080 --> 00:22:17,399 Speaker 1: they didn't get rid of the whole thing, They only 385 00:22:17,480 --> 00:22:20,600 Speaker 1: captain it ten because that would sort of like maximize 386 00:22:21,240 --> 00:22:24,879 Speaker 1: damage the blue states while leaving some wealthy people in 387 00:22:25,560 --> 00:22:27,800 Speaker 1: a red states still able to deduct into that limit. 388 00:22:28,920 --> 00:22:32,399 Speaker 1: Yeah really big, Yeah, yeah, Carl, So that that kind 389 00:22:32,400 --> 00:22:33,960 Speaker 1: of goes to where I wanted to go. You know, 390 00:22:33,960 --> 00:22:36,320 Speaker 1: a lot of folks that are supporting the repealing the 391 00:22:36,359 --> 00:22:39,480 Speaker 1: soft cap said, hey, this was just a political uh 392 00:22:39,720 --> 00:22:43,200 Speaker 1: dig by President Trump against those areas of the country 393 00:22:43,200 --> 00:22:45,160 Speaker 1: that did not support them in the election. It had 394 00:22:45,200 --> 00:22:48,919 Speaker 1: nothing to do with fair taxation or economics. It was 395 00:22:48,960 --> 00:22:53,520 Speaker 1: simply all political. As a result, it deserves to be repealed. 396 00:22:53,600 --> 00:22:55,280 Speaker 1: So it's become kind of, I guess, more of a 397 00:22:55,280 --> 00:22:57,960 Speaker 1: political issue than an economic issue. If anything else, is 398 00:22:57,960 --> 00:23:01,119 Speaker 1: that how it's being played out in Washington. That is 399 00:23:01,119 --> 00:23:02,320 Speaker 1: a big part of it. And I mean, I think 400 00:23:02,400 --> 00:23:05,679 Speaker 1: that's what's making that's just making the split among Democrats harder. 401 00:23:05,720 --> 00:23:09,480 Speaker 1: I mean, um, I think among even sort of Republican 402 00:23:09,560 --> 00:23:12,760 Speaker 1: wanks and Democratic wanks are kind of like both against 403 00:23:13,200 --> 00:23:16,440 Speaker 1: the salt deduction. But when Trump's people came out and 404 00:23:16,480 --> 00:23:19,600 Speaker 1: made it a cultural issue, that made it hard for 405 00:23:19,760 --> 00:23:23,240 Speaker 1: Democrats to be in favor of captain salt, especially Democrats 406 00:23:23,240 --> 00:23:25,520 Speaker 1: whose own constituents, we're going to get hit. But and 407 00:23:25,600 --> 00:23:28,480 Speaker 1: so you know, it's it's a live issue now, precisely 408 00:23:28,520 --> 00:23:32,160 Speaker 1: because Trump made it a cultural issue. Carl, I'm throwing 409 00:23:32,160 --> 00:23:34,080 Speaker 1: you a curveball here, but we know you're smart enough 410 00:23:34,119 --> 00:23:36,560 Speaker 1: to handle it. I've been studying a lot of the 411 00:23:36,600 --> 00:23:39,280 Speaker 1: state local government budgets. I think of New York, which 412 00:23:39,320 --> 00:23:43,600 Speaker 1: after those tax increases, you're looking at fifty tax rate 413 00:23:43,640 --> 00:23:46,359 Speaker 1: on some of the top earners, higher than California, and 414 00:23:46,480 --> 00:23:50,920 Speaker 1: a lot of those budget assumptions, I think Cuomo's assumes 415 00:23:51,280 --> 00:23:54,879 Speaker 1: that the salt repeal indeed will go through. Are we 416 00:23:54,920 --> 00:23:58,160 Speaker 1: getting into trouble when we're building budgets on a state 417 00:23:58,280 --> 00:24:00,600 Speaker 1: level that's based on something that's going to happen at 418 00:24:00,600 --> 00:24:03,200 Speaker 1: the federal level that well, we're not quite sure that 419 00:24:03,200 --> 00:24:06,960 Speaker 1: that's even going to happen, right, And I mean, I mean, 420 00:24:07,040 --> 00:24:09,120 Speaker 1: I mean, so obviously that's not wise. I mean, we're 421 00:24:09,160 --> 00:24:12,320 Speaker 1: not wise from a budgetary standpoint. Um. It puts more 422 00:24:12,359 --> 00:24:15,520 Speaker 1: pressure on representatives in New York since he's already said, 423 00:24:15,520 --> 00:24:17,399 Speaker 1: we'll look, you know, we're committed to this. We've already 424 00:24:17,440 --> 00:24:20,040 Speaker 1: committed this. We're expecting you to come through. And so 425 00:24:20,080 --> 00:24:22,880 Speaker 1: it makes sense. It's a political move, but obviously, um, 426 00:24:22,920 --> 00:24:25,240 Speaker 1: you know, it's a poor budgetary move and only makes 427 00:24:25,280 --> 00:24:29,520 Speaker 1: things riskier for the state going forward because I don't 428 00:24:29,800 --> 00:24:32,560 Speaker 1: think that the salt cap is probably gonna get repealed. 429 00:24:32,600 --> 00:24:34,679 Speaker 1: So um, I mean, it'll be a big fight, but 430 00:24:34,680 --> 00:24:39,000 Speaker 1: I don't think ultimately the it will be repealed. What's 431 00:24:39,040 --> 00:24:41,840 Speaker 1: the sense of timing here, Carl, about you know, when 432 00:24:41,840 --> 00:24:45,680 Speaker 1: we're gonna get some resolution here? You know, I'm I'm 433 00:24:45,720 --> 00:24:47,960 Speaker 1: not clear on that because, uh, you know, so far, 434 00:24:48,080 --> 00:24:51,480 Speaker 1: the President has said that he's he's not particularly interested 435 00:24:51,760 --> 00:24:54,040 Speaker 1: in doing it. I know that's the position of the 436 00:24:54,080 --> 00:24:57,800 Speaker 1: economists at the White House. Um, but Schumer seems to 437 00:24:57,800 --> 00:25:00,359 Speaker 1: be digging in on it. Pelosi need soon as you're 438 00:25:00,400 --> 00:25:03,199 Speaker 1: thinking in on it, and so um, it's really like 439 00:25:03,240 --> 00:25:06,280 Speaker 1: a live ball, right. I mean, I would expect, given 440 00:25:06,320 --> 00:25:08,359 Speaker 1: the wings are that the President will ultimately get his 441 00:25:08,400 --> 00:25:11,560 Speaker 1: way on this if he sticks to what the economists 442 00:25:11,560 --> 00:25:14,639 Speaker 1: are telling him. But because it has so much support 443 00:25:14,680 --> 00:25:17,520 Speaker 1: them on the Democratic leadership, it's hard to say when 444 00:25:18,040 --> 00:25:21,600 Speaker 1: things will really like be resolved. All right, Carl, thank 445 00:25:21,600 --> 00:25:23,719 Speaker 1: you so much for joining us. We appreciate that. Carl 446 00:25:23,840 --> 00:25:26,719 Speaker 1: Smith from Bloomberg Opinion. You can reach all you can 447 00:25:26,800 --> 00:25:29,160 Speaker 1: read all of Carl's work and that of our good 448 00:25:29,160 --> 00:25:32,840 Speaker 1: folks at Bloomberg Opinion at Bloomberg dot Com slash Opinion. 449 00:25:32,960 --> 00:25:35,320 Speaker 1: Lots of great work there as well as I love 450 00:25:35,440 --> 00:25:37,919 Speaker 1: these debates in the afternoon when I'm on TV, we 451 00:25:38,000 --> 00:25:40,679 Speaker 1: debate about if there's inflation or not. I think there is. 452 00:25:40,880 --> 00:25:43,160 Speaker 1: Romane thinks that there's no inflation. I'm going to now 453 00:25:43,160 --> 00:25:46,680 Speaker 1: start debating you on salt. Is it a tax loophole? 454 00:25:46,760 --> 00:25:49,000 Speaker 1: Is it not? I love it. Yeah, I don't know. 455 00:25:49,280 --> 00:25:51,440 Speaker 1: I don't know, but it's it's certainly hit folks in 456 00:25:51,480 --> 00:25:55,000 Speaker 1: the metro New York area, I think pretty hard. Um 457 00:25:55,119 --> 00:25:57,280 Speaker 1: and um, you know, it's one of the incentives for 458 00:25:57,440 --> 00:25:58,920 Speaker 1: living in this part of the country as you can 459 00:25:59,040 --> 00:26:01,919 Speaker 1: get some tax really on your state and local taxes 460 00:26:01,920 --> 00:26:04,159 Speaker 1: which you can be very high in certain you know, 461 00:26:04,240 --> 00:26:07,080 Speaker 1: jurisdictions around the country. And I guess what made it 462 00:26:07,119 --> 00:26:09,639 Speaker 1: even worse is that it was just a political gain 463 00:26:09,840 --> 00:26:11,840 Speaker 1: their political football and and you know a lot of 464 00:26:12,119 --> 00:26:15,399 Speaker 1: folks ended up paying the price just based upon where 465 00:26:15,440 --> 00:26:17,000 Speaker 1: they live. But we'll certainly have more on that. That 466 00:26:17,000 --> 00:26:19,960 Speaker 1: will be certainly a story that Bloomberg news will be 467 00:26:20,320 --> 00:26:23,720 Speaker 1: following going forward, so we'll have more coming up. This 468 00:26:24,080 --> 00:26:28,760 Speaker 1: is Bloomberg Markets. Thanks for listening to the Bloomberg Markets podcast. 469 00:26:29,160 --> 00:26:32,359 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 470 00:26:32,480 --> 00:26:36,400 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 471 00:26:36,440 --> 00:26:40,720 Speaker 1: on Twitter at Matt Miller. On Ball Sweeney, I'm on 472 00:26:40,720 --> 00:26:43,679 Speaker 1: Twitter at pt Sweeney. Before the podcast, you can always 473 00:26:43,680 --> 00:26:45,560 Speaker 1: catch us worldwide at Bloomberg Radio