1 00:00:05,120 --> 00:00:09,200 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane along 2 00:00:09,240 --> 00:00:13,200 Speaker 1: with Jonathan Ferrell and Lisa Brownowitz Jailey. We bring you 3 00:00:13,320 --> 00:00:18,600 Speaker 1: insight from the best and economics, finance, investment, and international relations. 4 00:00:18,960 --> 00:00:23,840 Speaker 1: Find Bloomberg Surveillance on Apple Podcast, sun Cloud, Bloomberg dot Com, 5 00:00:23,920 --> 00:00:30,639 Speaker 1: and of course on the Bloomberg terminal. Right now, Lisa 6 00:00:30,680 --> 00:00:33,199 Speaker 1: Bramins and Tom keenan we digress, and we digress to 7 00:00:33,280 --> 00:00:37,600 Speaker 1: corporate management in moving forward in this pandemic, Anthony Kapjanos, 8 00:00:37,640 --> 00:00:41,879 Speaker 1: with Marriott the CEO and Tony Capiano out of Cornell Hotel, 9 00:00:42,280 --> 00:00:45,080 Speaker 1: has had the toughest task in management of any corporate 10 00:00:45,120 --> 00:00:48,680 Speaker 1: officer in America, filling his shoes of the great Arne 11 00:00:48,680 --> 00:00:51,360 Speaker 1: Soords and I'm gonna go to Cornell Hotel and Arne 12 00:00:51,400 --> 00:00:54,760 Speaker 1: Soords and life is service. How have you managed this 13 00:00:54,840 --> 00:00:57,440 Speaker 1: tough task? Well? I had the first of all, thanks 14 00:00:57,440 --> 00:00:59,840 Speaker 1: for having me. It's great to be back in per 15 00:01:00,040 --> 00:01:03,320 Speaker 1: sin In Studio. I had the good fortune of working 16 00:01:03,320 --> 00:01:05,800 Speaker 1: with Arnie for almost a quarter of a century. I 17 00:01:05,840 --> 00:01:09,040 Speaker 1: think the easiest way to manage through the grief that 18 00:01:09,040 --> 00:01:12,480 Speaker 1: that the Marriott family has experienced is to honor his 19 00:01:12,560 --> 00:01:15,120 Speaker 1: legacy by continuing all the great work he had done 20 00:01:15,400 --> 00:01:18,039 Speaker 1: and continuing the company down the path that he had 21 00:01:18,040 --> 00:01:20,720 Speaker 1: set forth for us. Cornell Hotel didn't have a course 22 00:01:20,760 --> 00:01:24,560 Speaker 1: pandemic one oh one. They may now what they may now? 23 00:01:24,640 --> 00:01:27,440 Speaker 1: What have you learned? A few things? I think I've 24 00:01:27,560 --> 00:01:31,760 Speaker 1: learned how valuable our culture is. I've found how resilient 25 00:01:32,120 --> 00:01:36,120 Speaker 1: and adaptable are people are around the world. I've learned 26 00:01:36,160 --> 00:01:40,760 Speaker 1: how much people miss travel, and I've learned how responsive 27 00:01:40,840 --> 00:01:43,160 Speaker 1: we need to be to these sorts of crises. We 28 00:01:43,200 --> 00:01:46,399 Speaker 1: had to not only stabilize the company's balance sheet in 29 00:01:46,400 --> 00:01:49,520 Speaker 1: a matter of weeks, but roll out all new operating 30 00:01:49,600 --> 00:01:53,880 Speaker 1: and um cleanliness protocols in a hundred and thirty three 31 00:01:53,880 --> 00:01:56,520 Speaker 1: countries around the world in a matter of weeks, Tony, 32 00:01:56,720 --> 00:01:59,680 Speaker 1: How difficult is it to hire enough personnel to meet 33 00:01:59,680 --> 00:02:01,960 Speaker 1: the credible demand of people who do want to get 34 00:02:02,000 --> 00:02:04,920 Speaker 1: back on the road. It varies by market, Lisa. In 35 00:02:05,200 --> 00:02:07,600 Speaker 1: the markets here in the US where we've seen demands 36 00:02:07,640 --> 00:02:12,280 Speaker 1: spike most rapidly California, Texas, Florida, it is challenging, and 37 00:02:12,280 --> 00:02:15,680 Speaker 1: we're competing for labor not only with other hospitality and 38 00:02:15,720 --> 00:02:19,360 Speaker 1: travel companies, but with those industries that have thrived, some 39 00:02:19,440 --> 00:02:22,840 Speaker 1: of the online retailers and the like. We really have 40 00:02:22,919 --> 00:02:26,680 Speaker 1: to be much more proactive and deliberate about reminding folks 41 00:02:26,720 --> 00:02:31,600 Speaker 1: about the appeal and the opportunities that exist in traveling tours. Meanwhile, 42 00:02:31,680 --> 00:02:34,120 Speaker 1: as we're dealing with a number of supply chain kinks 43 00:02:34,120 --> 00:02:37,400 Speaker 1: and certainly labor market frictions, were also dealing with a 44 00:02:37,520 --> 00:02:41,679 Speaker 1: different international backdrop, and we had President Biden come out 45 00:02:41,680 --> 00:02:45,160 Speaker 1: and warned companies about doing business in Hong Kong. How 46 00:02:45,160 --> 00:02:48,519 Speaker 1: are you dealing with these types of saber rattling warnings 47 00:02:48,520 --> 00:02:52,160 Speaker 1: and possibly even more than saber rattling, particularly with respect 48 00:02:52,200 --> 00:02:54,000 Speaker 1: to China, where I know that you guys were planning 49 00:02:54,000 --> 00:02:57,000 Speaker 1: to expand. Well, we continue to expand in China. It's 50 00:02:57,000 --> 00:03:00,920 Speaker 1: our biggest, second biggest market globally. We've got four hundred 51 00:03:00,919 --> 00:03:04,280 Speaker 1: hotels open, another four hundred in the pipeline. I think 52 00:03:04,320 --> 00:03:07,800 Speaker 1: we're helped a bit Virtually the entirety of our footprint 53 00:03:07,800 --> 00:03:11,400 Speaker 1: and pipeline are owned by Chinese owners, and so we 54 00:03:11,480 --> 00:03:14,639 Speaker 1: are viewed a bit more as a Chinese company versus 55 00:03:14,639 --> 00:03:17,560 Speaker 1: an American company in terms of the ownership of the 56 00:03:17,600 --> 00:03:21,280 Speaker 1: assets there um. But again we've got to navigate these 57 00:03:21,320 --> 00:03:24,560 Speaker 1: complexities in a hundred and thirty three countries around the world. 58 00:03:24,880 --> 00:03:28,480 Speaker 1: And it's really I think starts with being good corporate citizens. 59 00:03:28,520 --> 00:03:30,520 Speaker 1: Best thing you ever did was restore the old King 60 00:03:30,600 --> 00:03:33,280 Speaker 1: cole mural at the St. Regis Hotel in New York. 61 00:03:33,440 --> 00:03:35,520 Speaker 1: You don't have to restore it in Hong Kong. You 62 00:03:35,600 --> 00:03:38,360 Speaker 1: have a Saint Regis in Hong Kong that is an 63 00:03:38,400 --> 00:03:42,040 Speaker 1: absolute palace. The reality is you've got to get fat 64 00:03:42,120 --> 00:03:45,480 Speaker 1: cat bankers into that St. Regis and Hong Kong. How 65 00:03:45,520 --> 00:03:49,080 Speaker 1: are you going to do that given the politics of Beijing, Well, 66 00:03:49,240 --> 00:03:52,120 Speaker 1: it will certainly be a challenge. What's interesting is, at 67 00:03:52,200 --> 00:03:55,440 Speaker 1: least through the pandemic, given the condition of borders in China, 68 00:03:55,920 --> 00:03:59,760 Speaker 1: UM China is relying almost entirely on domestic demand. But 69 00:04:00,120 --> 00:04:03,480 Speaker 1: we look at corporate business travel in China in market 70 00:04:03,600 --> 00:04:06,040 Speaker 1: right now, we were six percent ahead of where we 71 00:04:06,040 --> 00:04:09,560 Speaker 1: were in March of nineteen. So the volume is there, 72 00:04:09,640 --> 00:04:12,520 Speaker 1: the pricing powers there, but the mix is different because 73 00:04:12,520 --> 00:04:15,600 Speaker 1: it's largely domestic demand. Tony, what about globally, are you 74 00:04:15,600 --> 00:04:18,960 Speaker 1: starting to see global travel wax or Wayne? Given the 75 00:04:19,080 --> 00:04:22,840 Speaker 1: increase in delta variant around the world, it varies by market, 76 00:04:22,839 --> 00:04:24,839 Speaker 1: and one of the nice things about our businesses we 77 00:04:24,960 --> 00:04:29,000 Speaker 1: track and analyze the data in real time. When the 78 00:04:29,040 --> 00:04:32,680 Speaker 1: EU came out with a fairly opaque statement about borders 79 00:04:32,720 --> 00:04:36,960 Speaker 1: opening to international travel, we saw booking volume jump for 80 00:04:37,960 --> 00:04:41,480 Speaker 1: in two weeks. When Greece came out with more specific 81 00:04:41,560 --> 00:04:44,120 Speaker 1: details on what was going to be required to enter 82 00:04:44,120 --> 00:04:48,080 Speaker 1: the country, we immediately exceeded demand booking volumes from two 83 00:04:48,080 --> 00:04:51,360 Speaker 1: thousand nineteen. Then you shift to other parts of the world, 84 00:04:51,600 --> 00:04:55,120 Speaker 1: countries like India that are still struggling mightily with the pandemic, 85 00:04:55,480 --> 00:04:59,279 Speaker 1: we see really muted demand patterns. Honestly, I just actually 86 00:04:59,279 --> 00:05:01,720 Speaker 1: traveled interne nationally and it was amazing to see how 87 00:05:01,720 --> 00:05:03,919 Speaker 1: everyone felt like they were getting in just into the wire, 88 00:05:04,200 --> 00:05:06,159 Speaker 1: and they were all checking the news to see what 89 00:05:06,279 --> 00:05:09,400 Speaker 1: additional restrictions might be in place. On the way back, 90 00:05:09,720 --> 00:05:13,080 Speaker 1: things were different, including the number of times a housekeeper 91 00:05:13,080 --> 00:05:15,520 Speaker 1: would come into your hotel room to change the towels, 92 00:05:15,560 --> 00:05:17,480 Speaker 1: the concern about being in the same room at the 93 00:05:17,520 --> 00:05:20,400 Speaker 1: same time, buffets that would not be out there for 94 00:05:20,440 --> 00:05:22,920 Speaker 1: you to take the way that they previously were. How 95 00:05:23,000 --> 00:05:25,080 Speaker 1: much of this is going to be the new normal 96 00:05:25,120 --> 00:05:29,119 Speaker 1: going forward? I think There will be changes we've made 97 00:05:29,200 --> 00:05:33,039 Speaker 1: that will endure through the beyond the pandemic. Some of 98 00:05:33,040 --> 00:05:36,719 Speaker 1: the contactless technology we've put in place, the ability to 99 00:05:36,800 --> 00:05:39,440 Speaker 1: check in, check out on the app, chat with the 100 00:05:39,480 --> 00:05:43,080 Speaker 1: hotel staff through your device. We've got mobile key and 101 00:05:43,160 --> 00:05:46,120 Speaker 1: more than four thousand hotels around the world. I think 102 00:05:46,160 --> 00:05:49,680 Speaker 1: a lot of that will continue. Things like housekeeping, how 103 00:05:49,760 --> 00:05:52,760 Speaker 1: we deliver food and beverage service will evolve on a 104 00:05:52,839 --> 00:05:55,480 Speaker 1: market by market basis. If you were in China today, 105 00:05:55,839 --> 00:05:59,880 Speaker 1: the buffets which are so popular, they're back. I look 106 00:06:00,080 --> 00:06:03,440 Speaker 1: at Goldman Sachs arguing about raising pay of junior bankers. 107 00:06:03,560 --> 00:06:06,200 Speaker 1: Do you have to raise the pay of your line 108 00:06:06,360 --> 00:06:10,640 Speaker 1: employees because of employers like Amazon competing at a lower 109 00:06:10,640 --> 00:06:14,520 Speaker 1: wage in an all in benefit package in some markets? Absolutely, 110 00:06:14,960 --> 00:06:20,279 Speaker 1: Amazon and Jesse and Bezos, they're affecting your base way. 111 00:06:20,320 --> 00:06:23,360 Speaker 1: I think they're affecting to me this entirely of travel 112 00:06:23,480 --> 00:06:26,600 Speaker 1: on tourism, how doing What is what is Amazon doing 113 00:06:26,839 --> 00:06:30,080 Speaker 1: in a juggernaut to affect your employee pay Stork, I 114 00:06:30,080 --> 00:06:33,560 Speaker 1: think their entry level wage rates are putting pressure on 115 00:06:33,600 --> 00:06:38,040 Speaker 1: wage rates in certain markets. Um and I I think 116 00:06:38,880 --> 00:06:41,360 Speaker 1: one of the things we're wrestling with a bit. The 117 00:06:41,920 --> 00:06:45,360 Speaker 1: employment market at large has often viewed travel on tourism 118 00:06:45,440 --> 00:06:47,880 Speaker 1: as a bit of a safe harbor industry, and I 119 00:06:47,880 --> 00:06:50,200 Speaker 1: think some of that confidence has been rattled a bit 120 00:06:50,520 --> 00:06:53,719 Speaker 1: when you look at global occupancies dropping down into the 121 00:06:53,760 --> 00:06:57,200 Speaker 1: low teens at the outset of the pandemic, all of 122 00:06:57,200 --> 00:06:59,760 Speaker 1: that travel on tourism companies had to make heart wrenching 123 00:06:59,760 --> 00:07:03,440 Speaker 1: to visions around furloughs and job eliminations, and I think 124 00:07:03,480 --> 00:07:05,279 Speaker 1: we've got to do a lot of work to restore 125 00:07:05,400 --> 00:07:07,960 Speaker 1: confidence that this is an industry that you can build 126 00:07:07,960 --> 00:07:10,920 Speaker 1: a long term career, get to work. I need lobster 127 00:07:11,040 --> 00:07:13,920 Speaker 1: role in all right Coast to Coast, Tony Cupiano with 128 00:07:14,000 --> 00:07:17,240 Speaker 1: us their chief executive officer, arguably the CEO of the 129 00:07:17,320 --> 00:07:26,360 Speaker 1: year on the death of Earning Sorensen as well Kenner 130 00:07:26,400 --> 00:07:28,040 Speaker 1: Leon with us, and I do want to say, folks, 131 00:07:28,040 --> 00:07:30,000 Speaker 1: and it's just an opinion, but when we look at 132 00:07:30,000 --> 00:07:33,560 Speaker 1: four or five, six, seven banks, the chart presentation a 133 00:07:33,600 --> 00:07:35,880 Speaker 1: Bank of America and the heat of an earnings release 134 00:07:36,360 --> 00:07:40,120 Speaker 1: is absolutely best in class. There's no other way to 135 00:07:40,200 --> 00:07:41,960 Speaker 1: put it. Ken Ley on where Us was c f 136 00:07:42,120 --> 00:07:44,720 Speaker 1: R A. Ken Brian moynann has a courage to put 137 00:07:44,720 --> 00:07:49,240 Speaker 1: the efficiency ratio up in a gorgeous chart before the pandemic. 138 00:07:49,280 --> 00:07:53,000 Speaker 1: The number was a brilliant six. After the pandemic and 139 00:07:53,000 --> 00:07:55,960 Speaker 1: in the pandemic, it's not do you have a belief 140 00:07:56,040 --> 00:07:58,920 Speaker 1: that the bank can you get back to the constructive 141 00:07:58,960 --> 00:08:02,800 Speaker 1: efficiency ratios of the past or is that day's gone by. 142 00:08:05,040 --> 00:08:08,680 Speaker 1: It's only for the problem banks where the efficiency ratios 143 00:08:08,720 --> 00:08:12,160 Speaker 1: will stay elevated, and that would be perhaps City Group 144 00:08:12,200 --> 00:08:15,840 Speaker 1: and Wells Fargo. But for Bank America JP Morgan, the 145 00:08:15,880 --> 00:08:18,240 Speaker 1: answer is yes. And then you've got to look at 146 00:08:18,280 --> 00:08:21,840 Speaker 1: what is the efficiency UM it's essentially and how they 147 00:08:21,960 --> 00:08:26,840 Speaker 1: operate and with their investments in digital and technology and 148 00:08:27,120 --> 00:08:29,960 Speaker 1: enables them to improve that ratio. So it's a semple 149 00:08:30,040 --> 00:08:34,080 Speaker 1: ratio that captures their whole business. UM. It's kind of 150 00:08:34,080 --> 00:08:37,440 Speaker 1: a second derivative for analysts as as we look at 151 00:08:37,480 --> 00:08:40,520 Speaker 1: what is performance, I see a moonshot on the chart 152 00:08:40,600 --> 00:08:43,000 Speaker 1: kenn Ley on and it's what John Farrow was talking about. 153 00:08:43,080 --> 00:08:46,360 Speaker 1: We're using digital, we're using our phones, the zell z 154 00:08:46,559 --> 00:08:48,839 Speaker 1: E L L E. Folks, we all move money around 155 00:08:48,880 --> 00:08:51,880 Speaker 1: to our kids on it um Kenner Leon, what does 156 00:08:52,000 --> 00:08:55,120 Speaker 1: zel mean for Brian moynihan James Diamond and the rest 157 00:08:55,480 --> 00:08:59,880 Speaker 1: just up up we go. In cell phone payments, you 158 00:09:00,040 --> 00:09:02,840 Speaker 1: want to definitely be a player and take advantage of 159 00:09:02,880 --> 00:09:06,480 Speaker 1: how society is changing behavior, how they shop and how 160 00:09:06,520 --> 00:09:10,120 Speaker 1: they spend. But don't get distracted, and I don't think 161 00:09:10,120 --> 00:09:13,840 Speaker 1: Brian moynihan and Management is a Bank of America that 162 00:09:13,960 --> 00:09:17,880 Speaker 1: a physical presence will help them now for the delayed 163 00:09:18,320 --> 00:09:22,560 Speaker 1: rebound of the consumer for banking and small business small 164 00:09:22,679 --> 00:09:26,120 Speaker 1: business loans, they come to a local branch or to 165 00:09:26,160 --> 00:09:30,440 Speaker 1: a financial center. So we're also seeing market share gain 166 00:09:31,320 --> 00:09:36,640 Speaker 1: of the large banks in even the top mark metropolitan 167 00:09:36,679 --> 00:09:39,480 Speaker 1: markets in the US. So it's it's kind of a 168 00:09:39,520 --> 00:09:43,720 Speaker 1: boring strategy, but incrementally that's going to help them, especially 169 00:09:43,800 --> 00:09:47,280 Speaker 1: when we see a pickup and loan activity. Unfortunately, Tom, 170 00:09:47,320 --> 00:09:51,760 Speaker 1: I think that's what confidence in not for Q three 171 00:09:52,080 --> 00:09:54,400 Speaker 1: of this year, and maybe we get a glimpse of 172 00:09:54,440 --> 00:09:57,319 Speaker 1: that later this year, and down to what's happened on 173 00:09:57,360 --> 00:09:59,679 Speaker 1: the fiscal side, can for you to get a decent 174 00:09:59,679 --> 00:10:03,520 Speaker 1: read on what was happening with loan growth. You know, 175 00:10:04,000 --> 00:10:08,000 Speaker 1: so much of the catalysts here for for loan growth 176 00:10:08,200 --> 00:10:11,840 Speaker 1: is really the consumer. It's not commercial corporate. Their flush 177 00:10:11,920 --> 00:10:15,040 Speaker 1: with cash or they have access in the US markets 178 00:10:15,080 --> 00:10:18,720 Speaker 1: to the capital markets, and we saw that in fixed 179 00:10:18,720 --> 00:10:22,960 Speaker 1: income underwriting. But you know, for the consumer, it's you 180 00:10:23,000 --> 00:10:26,200 Speaker 1: look at the FED data. Of course, many metrics households 181 00:10:26,240 --> 00:10:32,160 Speaker 1: saving the ratio of debt relative to their to their income, 182 00:10:32,360 --> 00:10:36,040 Speaker 1: and they're at record low. So it might be we 183 00:10:36,160 --> 00:10:40,120 Speaker 1: got technology going, but the consumer is more conservative. It's 184 00:10:40,160 --> 00:10:43,000 Speaker 1: like coming out of the depression of the thirties or 185 00:10:43,040 --> 00:10:46,160 Speaker 1: the financial crisis. They're saying, we're gonna pay our bills 186 00:10:46,160 --> 00:10:49,280 Speaker 1: and we're not gonna let these credit card balances rise 187 00:10:49,360 --> 00:10:51,880 Speaker 1: as much as they can. That's a big story as 188 00:10:51,920 --> 00:10:53,880 Speaker 1: we go into the next quarter because we're going to 189 00:10:53,920 --> 00:10:56,600 Speaker 1: see if that's really true. The big distinction there, of course, 190 00:10:56,600 --> 00:11:00,160 Speaker 1: they've come out of this one. I'm aggregate not pull or. 191 00:11:00,240 --> 00:11:02,400 Speaker 1: That is the big distinction this time around. I know 192 00:11:02,440 --> 00:11:04,959 Speaker 1: Alison Williams and bloom Bag Intelligence, you as well, Lisa, 193 00:11:04,960 --> 00:11:06,920 Speaker 1: have written about this in the last twenty four hours, 194 00:11:06,960 --> 00:11:10,200 Speaker 1: that distinction between main street and Wall Street companies and 195 00:11:10,280 --> 00:11:13,360 Speaker 1: consumers and how that cash is being deployed. The idea 196 00:11:13,440 --> 00:11:15,240 Speaker 1: here that you can bet more reliably, and that's what 197 00:11:15,240 --> 00:11:18,040 Speaker 1: we're seeing in the stock price on banking on mergers 198 00:11:18,040 --> 00:11:22,120 Speaker 1: and acquisitions, deal making, other types of financial markets activity 199 00:11:22,200 --> 00:11:25,520 Speaker 1: than for consumers to be profligate with their spending. Can 200 00:11:25,600 --> 00:11:29,040 Speaker 1: going forward, can we continue to rely? Can investors continue 201 00:11:29,080 --> 00:11:33,120 Speaker 1: to rely on the banking activity to support any lag 202 00:11:33,360 --> 00:11:37,760 Speaker 1: in lending until that picks back up. The banks are 203 00:11:38,000 --> 00:11:43,240 Speaker 1: are strong, the balance sheets are incredibly at great levels, 204 00:11:43,280 --> 00:11:46,360 Speaker 1: and return of capital. So I think for the consumer, 205 00:11:46,480 --> 00:11:49,439 Speaker 1: the banks are solid. And for the investor, uh, there's 206 00:11:49,520 --> 00:11:52,920 Speaker 1: return of capital. We have substantial increases of dividend and 207 00:11:53,000 --> 00:11:57,000 Speaker 1: buy back they could do after the Federal Reserve stress tests. 208 00:11:57,200 --> 00:12:00,160 Speaker 1: And keep in mind the whole battle here again they 209 00:12:00,160 --> 00:12:04,440 Speaker 1: after capturing wallet share of consumer spending. But we didn't 210 00:12:04,440 --> 00:12:08,080 Speaker 1: talk about today. Uh. The strong results of the asset 211 00:12:08,200 --> 00:12:11,760 Speaker 1: management and wealth management businesses here today for Bank America, 212 00:12:12,080 --> 00:12:14,800 Speaker 1: but all the large banks. UH. And this is great 213 00:12:14,840 --> 00:12:19,240 Speaker 1: because this drives for investors confidence on recurring revenue and 214 00:12:19,360 --> 00:12:23,160 Speaker 1: cash flow. Kenley on CFR right, thank you, sir Kenley 215 00:12:23,160 --> 00:12:29,800 Speaker 1: on that wank in on these numbers. Let's bring it, David, 216 00:12:29,800 --> 00:12:33,360 Speaker 1: George Robert w vad City of Research Analysts for US banks. 217 00:12:33,520 --> 00:12:36,280 Speaker 1: David's your first take on the numbers place. I think 218 00:12:36,320 --> 00:12:38,480 Speaker 1: overall John, it's it's great to be here. I think 219 00:12:38,480 --> 00:12:41,480 Speaker 1: the numbers overall were pretty good and continued to reflect 220 00:12:42,120 --> 00:12:45,360 Speaker 1: an improving economy and that's evident in activity levels as 221 00:12:45,400 --> 00:12:50,640 Speaker 1: well as a very strong credit quality really across the board. So, David, 222 00:12:50,679 --> 00:12:52,320 Speaker 1: when we take a look at these numbers, one thing 223 00:12:52,360 --> 00:12:54,760 Speaker 1: that has popped all of the bank earnings has been 224 00:12:55,040 --> 00:12:56,960 Speaker 1: the lack of loan growth. And I'm wondering to the 225 00:12:56,960 --> 00:12:59,240 Speaker 1: extent that there is loan growth, it is a come 226 00:12:59,320 --> 00:13:02,640 Speaker 1: among the wealth there individuals. How much is that sort 227 00:13:02,679 --> 00:13:06,040 Speaker 1: of keep point here that wealthier individuals are borrowing versus 228 00:13:06,080 --> 00:13:08,640 Speaker 1: their assets that they don't have to liquidate portfolios that 229 00:13:08,679 --> 00:13:12,360 Speaker 1: are currently invested in equity markets. Yeah, we've seen that. 230 00:13:12,520 --> 00:13:15,680 Speaker 1: It's a great point. We've seen fairly significant growth um, 231 00:13:15,760 --> 00:13:18,319 Speaker 1: Lisa in what I would call security spased loans and 232 00:13:18,520 --> 00:13:22,200 Speaker 1: as you as you refer to wealthy individuals basically using 233 00:13:22,240 --> 00:13:26,280 Speaker 1: their stock portfolios and wealth portfolios to uh to use 234 00:13:26,400 --> 00:13:29,080 Speaker 1: a debt for other purposes, could be to buy home 235 00:13:29,320 --> 00:13:32,360 Speaker 1: or other or other measures. So we're also seeing a 236 00:13:32,400 --> 00:13:35,160 Speaker 1: pickup in credit card growth. So Jp Morgan, yesterday I 237 00:13:35,200 --> 00:13:38,920 Speaker 1: had eight percent card growth, and we've seen the card 238 00:13:38,960 --> 00:13:41,360 Speaker 1: stocks are act pretty positively. But other than that, loan 239 00:13:41,480 --> 00:13:43,720 Speaker 1: to make one of demand continues to be pretty soft. 240 00:13:44,200 --> 00:13:47,160 Speaker 1: David George, you want you to parachute in Mackenzie or 241 00:13:47,280 --> 00:13:51,040 Speaker 1: Bain or the other great thinkers out five years Which 242 00:13:51,040 --> 00:13:55,480 Speaker 1: of these banks is best position for five years out? Um? 243 00:13:55,880 --> 00:13:59,160 Speaker 1: I really think that the industry, Uh, Tom, I'm trying 244 00:13:59,200 --> 00:14:02,720 Speaker 1: not to make any headlines. I think that the industry 245 00:14:03,040 --> 00:14:05,000 Speaker 1: in many ways is as in good as shape as 246 00:14:05,040 --> 00:14:07,720 Speaker 1: it's ever been, particularly from a risk perspective. I think 247 00:14:07,760 --> 00:14:11,520 Speaker 1: that the regulatory framework of the c CAR has made 248 00:14:11,559 --> 00:14:13,800 Speaker 1: many of these companies, and I say this as a positive, 249 00:14:13,920 --> 00:14:18,599 Speaker 1: very utility like in nature with respect to the predictability 250 00:14:18,600 --> 00:14:21,600 Speaker 1: of their revenues, predictability of their earnings, and the general 251 00:14:21,960 --> 00:14:25,400 Speaker 1: um lower risk um perspective of these business models. They've 252 00:14:25,440 --> 00:14:28,840 Speaker 1: all got a ton of capital, significant access liquidity, and 253 00:14:28,880 --> 00:14:31,760 Speaker 1: we've obviously this industry has been part of the solution 254 00:14:31,800 --> 00:14:34,680 Speaker 1: to the pandemic rather than the problem like it was. 255 00:14:34,880 --> 00:14:36,600 Speaker 1: As you know, Tom and the O eight oh nine 256 00:14:36,680 --> 00:14:38,840 Speaker 1: time frame. What do you make of this argument that 257 00:14:38,880 --> 00:14:41,280 Speaker 1: the consumer is really strong coming out of this pandemic, 258 00:14:41,280 --> 00:14:43,560 Speaker 1: coming out of this crisis this time, But that's going 259 00:14:43,600 --> 00:14:45,760 Speaker 1: to generate some rewards when it comes to loan growth 260 00:14:45,960 --> 00:14:49,560 Speaker 1: further down the road. Do you buy into that? I do. 261 00:14:49,720 --> 00:14:53,120 Speaker 1: I I'm a little worried that that consensus expectations for 262 00:14:53,200 --> 00:14:56,520 Speaker 1: loan growth are overly optimistic. That the I continue to 263 00:14:56,520 --> 00:14:59,680 Speaker 1: get questions from investors and and and the like about 264 00:15:00,000 --> 00:15:02,480 Speaker 1: at lack of loan growth, and the story really is 265 00:15:02,920 --> 00:15:05,560 Speaker 1: deposit growth. So Bank of America, as an example, had 266 00:15:05,600 --> 00:15:08,640 Speaker 1: fourteen percent deposit growth and BA base got over two 267 00:15:08,680 --> 00:15:11,760 Speaker 1: trillion in deposits with the T so that there is 268 00:15:11,840 --> 00:15:15,080 Speaker 1: significant deposits coming into the system. So it's simply not 269 00:15:15,840 --> 00:15:19,400 Speaker 1: intuitive from our perspective to expect a lot of loan 270 00:15:19,480 --> 00:15:23,360 Speaker 1: growth until you see deposits start to leave the system. 271 00:15:23,440 --> 00:15:25,920 Speaker 1: Once we get some sense on that, then I think 272 00:15:25,960 --> 00:15:28,320 Speaker 1: you'll see loan growth improved. Now on the corporate side, 273 00:15:28,320 --> 00:15:31,840 Speaker 1: I think supply chain disruptions are definitely playing a role 274 00:15:31,880 --> 00:15:34,640 Speaker 1: because companies simply can't get inventory. So I do think 275 00:15:34,680 --> 00:15:38,960 Speaker 1: you'll see a small step function higher once the once 276 00:15:39,000 --> 00:15:43,480 Speaker 1: some of those um supply chain issues become resolved. But 277 00:15:43,480 --> 00:15:45,120 Speaker 1: but but in the meantime, I think it's going to 278 00:15:45,200 --> 00:15:47,320 Speaker 1: be pretty slow going. David, can you build on this 279 00:15:47,360 --> 00:15:50,520 Speaker 1: idea of deposits increasing at such a quick pace given 280 00:15:50,520 --> 00:15:53,600 Speaker 1: that people have been expending so much spending, is there 281 00:15:53,720 --> 00:15:56,720 Speaker 1: an incoherence here and the fact that people are still 282 00:15:56,760 --> 00:16:01,280 Speaker 1: stashing so much away in their savings. Well, um, it's 283 00:16:01,280 --> 00:16:02,800 Speaker 1: a great question. I think part of it is just 284 00:16:02,840 --> 00:16:05,920 Speaker 1: simply the government crowding out the banks. A lot of 285 00:16:05,960 --> 00:16:10,760 Speaker 1: this deposit growth is simply government stimulus money finding its 286 00:16:10,760 --> 00:16:15,400 Speaker 1: way into uh into bank accounts, and um, I don't 287 00:16:15,440 --> 00:16:18,640 Speaker 1: really see uh um that changing much in the near 288 00:16:18,760 --> 00:16:21,440 Speaker 1: term now. I think in two we should see loan 289 00:16:21,520 --> 00:16:23,840 Speaker 1: growth start to get better, but it's not going to 290 00:16:23,920 --> 00:16:26,360 Speaker 1: be nearly as stronger growth is maybe what we've gotten 291 00:16:26,360 --> 00:16:28,800 Speaker 1: accustomed to over the last twenty to twenty five years. 292 00:16:28,840 --> 00:16:34,840 Speaker 1: Do we have to give them the toaster? That's actually, John, 293 00:16:35,000 --> 00:16:39,560 Speaker 1: that's a really really sophisticated question. We've given them the 294 00:16:39,560 --> 00:16:42,120 Speaker 1: toast that we have to pike the toasters called John 295 00:16:42,120 --> 00:16:45,760 Speaker 1: the toaster David, This is really important, John, David a 296 00:16:45,920 --> 00:16:49,440 Speaker 1: firm and square, they're the toaster is a firm in 297 00:16:49,520 --> 00:16:53,400 Speaker 1: those people changing the debate. What's the fear level on 298 00:16:53,600 --> 00:16:58,000 Speaker 1: modern fintech for these bankers? Yeah, it's it's a good question. 299 00:16:58,160 --> 00:17:02,280 Speaker 1: I think that that the industry, these these behemoth banks 300 00:17:02,320 --> 00:17:05,679 Speaker 1: continue to be infringed upon really from all angles. And 301 00:17:05,720 --> 00:17:09,080 Speaker 1: you you mentioned obviously some of the the fintech companies 302 00:17:09,080 --> 00:17:11,080 Speaker 1: of the Firm and the like, and I think that's 303 00:17:11,119 --> 00:17:15,120 Speaker 1: going to continue. UM. Where banks really differentiate themselves from 304 00:17:15,119 --> 00:17:18,800 Speaker 1: my perspective UM as a longtime bank analyst seeing a 305 00:17:18,840 --> 00:17:21,600 Speaker 1: lot of different cycles, is their ability to underwrite risk 306 00:17:21,960 --> 00:17:24,119 Speaker 1: as well as their funding. They've got all of the 307 00:17:24,200 --> 00:17:28,160 Speaker 1: same products that these fintech model line companies, but also 308 00:17:28,240 --> 00:17:33,400 Speaker 1: have we think much more sophisticated credit modeling, capability, scale 309 00:17:33,840 --> 00:17:36,640 Speaker 1: and funding. David love catching up with you in earning season. 310 00:17:36,680 --> 00:17:39,960 Speaker 1: It's good to see it than wity of research analysts 311 00:17:39,960 --> 00:17:49,040 Speaker 1: on the U S banks. Steve Major, HSBC global head 312 00:17:49,040 --> 00:17:51,240 Speaker 1: of fixed Income Research joins us, and I'm pleased to 313 00:17:51,240 --> 00:17:52,800 Speaker 1: say it's going to be with us for the next 314 00:17:52,800 --> 00:17:54,960 Speaker 1: five ten minutes. Steven want to start that with the 315 00:17:55,000 --> 00:17:57,560 Speaker 1: provocative question, if I may, do you think we might 316 00:17:57,600 --> 00:18:01,400 Speaker 1: have already seen the peak in this yield curve for 317 00:18:01,440 --> 00:18:05,439 Speaker 1: this cycle. Yeah. I think we saw the peak of 318 00:18:05,520 --> 00:18:10,960 Speaker 1: yields at the end of March, John, And what's happened 319 00:18:11,000 --> 00:18:15,399 Speaker 1: since then is the market just repricing to the reality 320 00:18:16,240 --> 00:18:20,320 Speaker 1: rates aren't going up anytime soon. To me, I wonder 321 00:18:20,400 --> 00:18:23,919 Speaker 1: what's happened to the two percent and and and above 322 00:18:24,040 --> 00:18:29,000 Speaker 1: consensus forecast because to me, to me, that wasn't particularly 323 00:18:29,720 --> 00:18:34,400 Speaker 1: robust in the first place. So so so I think 324 00:18:34,440 --> 00:18:38,280 Speaker 1: that there could be a scrambling of people's forecasts, as 325 00:18:38,320 --> 00:18:41,480 Speaker 1: you have seen some people scramble to cover their shorts, 326 00:18:41,520 --> 00:18:45,040 Speaker 1: so you know, pushed if yields are going to move 327 00:18:45,080 --> 00:18:47,720 Speaker 1: towards one percent or two percent through the rest of 328 00:18:47,760 --> 00:18:51,760 Speaker 1: the year, I go for one, Steve Major. We've got 329 00:18:51,800 --> 00:18:55,320 Speaker 1: an awful large audience of listeners and viewers that don't 330 00:18:55,400 --> 00:18:57,440 Speaker 1: have a c f A. They didn't study for bose 331 00:18:57,640 --> 00:19:00,960 Speaker 1: cover to cover like you did, and they're going wait 332 00:19:01,000 --> 00:19:04,480 Speaker 1: a minute, debt up, debt up, ever ever higher, and 333 00:19:04,520 --> 00:19:08,000 Speaker 1: as you brilliantly show, yields continue to fall. That is 334 00:19:08,040 --> 00:19:12,880 Speaker 1: the arch conundrum. How can that be? Well, first of all, 335 00:19:13,080 --> 00:19:18,040 Speaker 1: the last twenty years have seen that association of higher 336 00:19:18,080 --> 00:19:21,080 Speaker 1: debt and lower yield in place. Now, of course, the 337 00:19:21,160 --> 00:19:25,199 Speaker 1: correlation is not causality. To go to causality, you need 338 00:19:25,240 --> 00:19:27,919 Speaker 1: to think. We need to think about the debt servicing channel, 339 00:19:28,640 --> 00:19:31,520 Speaker 1: and that's the cash payments that have to go towards 340 00:19:31,520 --> 00:19:35,320 Speaker 1: servicing the debt. The simple point, Tom is, we cannot 341 00:19:35,359 --> 00:19:39,359 Speaker 1: afford higher rates and it's very very unlikely that we 342 00:19:39,400 --> 00:19:43,440 Speaker 1: will reach the height of the last cycle. Now that 343 00:19:43,440 --> 00:19:46,199 Speaker 1: that seems to me to be more important than the 344 00:19:46,280 --> 00:19:49,960 Speaker 1: date of the liftoff. It's it's the destiny that really matters, 345 00:19:50,800 --> 00:19:53,960 Speaker 1: not the departure. Stephen, how much does this rely on 346 00:19:54,119 --> 00:19:57,800 Speaker 1: an ever easy federal reserve versus just the dynamics natural 347 00:19:57,800 --> 00:20:01,919 Speaker 1: in the economy. Well, look, the Feds are easy in 348 00:20:02,000 --> 00:20:05,439 Speaker 1: several ways with forward guidance and the QUEI and the 349 00:20:05,480 --> 00:20:08,480 Speaker 1: interest rate that it sets, and that sets up a 350 00:20:08,520 --> 00:20:12,159 Speaker 1: bit of a trap because it's very, very difficult to 351 00:20:12,240 --> 00:20:15,359 Speaker 1: unwind all of this. So so the death stock is 352 00:20:15,480 --> 00:20:19,159 Speaker 1: huge globally, the indust rates are now and there is 353 00:20:19,240 --> 00:20:22,320 Speaker 1: qui et cetera. So it's going to take a long time. 354 00:20:22,400 --> 00:20:26,280 Speaker 1: Think about a super tanker turning around the Cape of 355 00:20:26,320 --> 00:20:28,360 Speaker 1: Good Hope. I mean it looks it looks to me 356 00:20:28,560 --> 00:20:31,479 Speaker 1: it's going to take a very long time. And that 357 00:20:31,520 --> 00:20:35,960 Speaker 1: speaks to today's testimony. At best, you might get an 358 00:20:35,960 --> 00:20:41,119 Speaker 1: iterative shift at some point, but nothing dramatic is going 359 00:20:41,160 --> 00:20:44,480 Speaker 1: to happen today. It can't steve a lot of conversation 360 00:20:44,520 --> 00:20:47,159 Speaker 1: about the reaction function over the Federal Reserve. Let's talk 361 00:20:47,160 --> 00:20:50,080 Speaker 1: about the reaction function of the market. Participant to data 362 00:20:50,520 --> 00:20:52,600 Speaker 1: yesterday morning got a lot of attention from a lot 363 00:20:52,640 --> 00:20:54,399 Speaker 1: of people. It wasn't just a cp I print, it 364 00:20:54,440 --> 00:20:56,639 Speaker 1: was how the market responded to. The cp I print 365 00:20:56,840 --> 00:20:58,639 Speaker 1: didn't last too long because, as you know, we had 366 00:20:58,640 --> 00:21:01,080 Speaker 1: a messy thirty year issue a little bit later in 367 00:21:01,080 --> 00:21:03,119 Speaker 1: the afternoon that changed things up. But you'll read just 368 00:21:03,200 --> 00:21:05,800 Speaker 1: in that period, those several hours after that inflation print, 369 00:21:05,840 --> 00:21:09,360 Speaker 1: what did that tell you? Well, I think the market 370 00:21:09,440 --> 00:21:12,919 Speaker 1: is displaying a sort of Pavlovian response to all of this, 371 00:21:13,560 --> 00:21:17,760 Speaker 1: in that it knows that if the probability of rates 372 00:21:17,800 --> 00:21:20,520 Speaker 1: going up is to increase, as it seemed to have 373 00:21:20,640 --> 00:21:24,439 Speaker 1: done at the June f m C, then equally the 374 00:21:24,440 --> 00:21:28,040 Speaker 1: probability of reaching the heights of the last of the 375 00:21:28,119 --> 00:21:32,680 Speaker 1: last cycle I'm also going down. So so so to me, 376 00:21:33,200 --> 00:21:35,679 Speaker 1: the earlier they hike that the less room they have 377 00:21:35,760 --> 00:21:38,439 Speaker 1: to go up, they'll have to stop earlier. And I 378 00:21:38,480 --> 00:21:41,520 Speaker 1: think that that's how the market is now understanding the 379 00:21:41,560 --> 00:21:46,760 Speaker 1: Fed's reaction function. They have this flexible average inflation targeting, 380 00:21:47,000 --> 00:21:50,440 Speaker 1: but they've sort of chopped off the right tail by 381 00:21:50,480 --> 00:21:54,000 Speaker 1: indicating that that they may they may hike into thousand 382 00:21:54,040 --> 00:21:56,919 Speaker 1: and twenty three. Steve Manajor, if we have a boom economy, 383 00:21:57,119 --> 00:21:59,800 Speaker 1: whatever the numbers are so goldben Sex as far apart, 384 00:22:00,000 --> 00:22:03,760 Speaker 1: are optimistic than capital economics, which is more cautious hus 385 00:22:03,880 --> 00:22:06,639 Speaker 1: WEC doing their own work as well. If we have 386 00:22:06,720 --> 00:22:10,679 Speaker 1: a truly boom economy, can yields go up with a 387 00:22:10,720 --> 00:22:16,520 Speaker 1: boom g d P and everyone remains happy? Very unlikely 388 00:22:16,560 --> 00:22:19,119 Speaker 1: that yields are going to go up even with strong growth. 389 00:22:19,560 --> 00:22:22,040 Speaker 1: If you if you get a six percent growth this year, 390 00:22:22,080 --> 00:22:24,920 Speaker 1: you have to weigh against the minus two from last year, 391 00:22:25,040 --> 00:22:28,960 Speaker 1: so the average is plus two. And look, as your 392 00:22:29,000 --> 00:22:32,040 Speaker 1: show has been pointing out, real yields have been falling 393 00:22:32,480 --> 00:22:36,040 Speaker 1: because they are the shock resorver that comes through. Nominal 394 00:22:36,119 --> 00:22:40,640 Speaker 1: yields are being controlled. If inflation expectations and risk premium rise, 395 00:22:40,760 --> 00:22:43,640 Speaker 1: the real yield can only go down. That's all. That's 396 00:22:43,640 --> 00:22:47,840 Speaker 1: all that's happening, Stephen. If you see the bond yields 397 00:22:47,840 --> 00:22:51,080 Speaker 1: can remain low, well, this is a boom economy. Does 398 00:22:51,119 --> 00:22:53,760 Speaker 1: that mean that bonds have lost their signaling power, that 399 00:22:53,840 --> 00:22:56,679 Speaker 1: they don't have the same kind of predictive view on 400 00:22:56,720 --> 00:23:00,640 Speaker 1: the economy that they've traditionally had. Yeah, that that that's 401 00:23:00,680 --> 00:23:05,760 Speaker 1: a that's a deeply involved, complex question. And I would 402 00:23:05,760 --> 00:23:09,280 Speaker 1: say that when yields were down at fifty basis points 403 00:23:09,359 --> 00:23:12,560 Speaker 1: last year, they lost a lot of that signaling and 404 00:23:12,600 --> 00:23:16,560 Speaker 1: also they lost the diversification benefit. But when we're at 405 00:23:16,600 --> 00:23:21,040 Speaker 1: one forty or so, then then there are investors who 406 00:23:21,080 --> 00:23:24,720 Speaker 1: will buy long bonds, long bonds anywhere near two percent 407 00:23:25,520 --> 00:23:29,320 Speaker 1: off ballast in a portfolio. So in terms of signaling, 408 00:23:29,440 --> 00:23:33,480 Speaker 1: and I think maybe maybe people are over interpreting what 409 00:23:33,480 --> 00:23:36,880 Speaker 1: what the yield and the yield curve means, because look, 410 00:23:36,880 --> 00:23:40,680 Speaker 1: we've had a decade or more of que and unconventional 411 00:23:40,720 --> 00:23:44,000 Speaker 1: monetary policy will of course some some of the stuff 412 00:23:44,040 --> 00:23:47,320 Speaker 1: from the seventies and eighties that doesn't doesn't really apply 413 00:23:47,560 --> 00:23:50,520 Speaker 1: to today's economy and bond market. So Steve, just a 414 00:23:50,520 --> 00:23:53,040 Speaker 1: final question from me, if I may. You and I 415 00:23:53,119 --> 00:23:54,480 Speaker 1: have known each other a long long time, and I 416 00:23:54,520 --> 00:23:56,080 Speaker 1: know that you've been right more than you've been wrong 417 00:23:56,119 --> 00:23:58,639 Speaker 1: on this bond market. Someone just reached out to me 418 00:23:59,000 --> 00:24:01,040 Speaker 1: and said exactly that, and they asked the question what 419 00:24:01,080 --> 00:24:04,320 Speaker 1: will it take for the two percent crowd to be right? 420 00:24:04,920 --> 00:24:06,520 Speaker 1: What would it take ultimately for you to be wrong 421 00:24:06,520 --> 00:24:08,320 Speaker 1: with the two percent crowd to be right? What do 422 00:24:08,320 --> 00:24:12,080 Speaker 1: you think would need to happen? Well, there needs to 423 00:24:12,119 --> 00:24:17,399 Speaker 1: be something more durable on the on the employment and 424 00:24:17,640 --> 00:24:19,840 Speaker 1: wages side, and I think that this is where the 425 00:24:19,880 --> 00:24:25,440 Speaker 1: FED is very inclusive and in answering the questions. I'm 426 00:24:25,480 --> 00:24:28,240 Speaker 1: sure that Chair Powell will will point to that the 427 00:24:28,240 --> 00:24:32,399 Speaker 1: FED is helping ordinary people by getting them back to work. 428 00:24:32,720 --> 00:24:36,440 Speaker 1: We're a long way from seeing durable increases and wages 429 00:24:36,720 --> 00:24:40,919 Speaker 1: that that might change the inflation outlook. Okay, um, so 430 00:24:41,160 --> 00:24:43,840 Speaker 1: I would I would put that as one of the risks. 431 00:24:44,040 --> 00:24:46,719 Speaker 1: I guess you could have personnel changes that we're not 432 00:24:46,840 --> 00:24:50,360 Speaker 1: predicting in the in the next year or so, so, 433 00:24:50,960 --> 00:24:54,000 Speaker 1: you know, personnel changes at the FED. I'm not really 434 00:24:54,040 --> 00:24:57,680 Speaker 1: sure how how how how problematic that would be. But yeah, 435 00:24:57,680 --> 00:25:00,639 Speaker 1: the point is there are always to it all risks 436 00:25:00,640 --> 00:25:03,760 Speaker 1: to the forecast, but we're trying to take that into account. 437 00:25:03,960 --> 00:25:06,320 Speaker 1: There's also a risk that yields go much lower. By 438 00:25:06,320 --> 00:25:09,760 Speaker 1: the way, Steve Major on the bond market, Steve just 439 00:25:09,800 --> 00:25:12,359 Speaker 1: in terms of personnel change, it just quickly the coaching 440 00:25:12,359 --> 00:25:14,119 Speaker 1: staff of the English football team. Do we need some 441 00:25:14,200 --> 00:25:16,119 Speaker 1: changes there too? Do you need to make a bit 442 00:25:16,119 --> 00:25:19,840 Speaker 1: of an adjustment there? There's been success, we got to 443 00:25:19,920 --> 00:25:22,920 Speaker 1: the final. Let's think about the positive. John. I'm happy 444 00:25:22,960 --> 00:25:25,080 Speaker 1: to do the positive, so just I didn't know if 445 00:25:25,080 --> 00:25:27,040 Speaker 1: you would do that after talking about the bond markets 446 00:25:27,080 --> 00:25:31,160 Speaker 1: so negatively for so long. And what's happening with Steve 447 00:25:31,240 --> 00:25:33,159 Speaker 1: is gonna see it. It's gonna catch up as always 448 00:25:33,240 --> 00:25:36,359 Speaker 1: HSBC Globe ahead of fixed income research on this bond market. 449 00:25:36,560 --> 00:25:38,920 Speaker 1: Always fantastic to catch up with Steve Major Tom, and 450 00:25:38,920 --> 00:25:41,560 Speaker 1: it always gets such a fantastic reception to This is 451 00:25:41,560 --> 00:25:45,560 Speaker 1: the Bloomberg Surveillance Podcast. Thanks for listening. Join us live 452 00:25:45,720 --> 00:25:49,480 Speaker 1: weekdays from seven to ten AMI Eastern. I'm Bloomberg Radio 453 00:25:49,720 --> 00:25:54,199 Speaker 1: and Bloomberg Television each day from six to night AM 454 00:25:54,240 --> 00:25:58,000 Speaker 1: for insight from the best in economics, finance, investment, and 455 00:25:58,119 --> 00:26:04,640 Speaker 1: international relations. And subscribe to the Surveillance podcast on Apple podcast, SoundCloud, 456 00:26:04,800 --> 00:26:08,400 Speaker 1: Bloomberg dot com, and of course on the terminal. I'm 457 00:26:08,440 --> 00:26:11,080 Speaker 1: Tom keene In. This is Bloomberg