1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,599 Speaker 1: at Bloomberg dot com slash podcast. Let's talk a little 7 00:00:22,640 --> 00:00:27,360 Speaker 1: crypto now, Matt, looking at Bitcoin. It's up about a 8 00:00:27,360 --> 00:00:29,680 Speaker 1: half of one percent today to sixty two thousand, let's 9 00:00:29,680 --> 00:00:33,360 Speaker 1: call it seven d two thousand, seven hundred. Coin based Global, 10 00:00:33,920 --> 00:00:37,240 Speaker 1: the big initial offering yesterday via a director listing. It 11 00:00:37,320 --> 00:00:40,080 Speaker 1: is up two percent today after a wild day of 12 00:00:40,360 --> 00:00:43,720 Speaker 1: trading yesterday. But it's up two percent today. What we 13 00:00:43,760 --> 00:00:46,479 Speaker 1: need here is a little perspective on all things crypto. 14 00:00:46,640 --> 00:00:48,800 Speaker 1: To do that, we turned to Barry Ridhold's founder RD 15 00:00:48,840 --> 00:00:52,000 Speaker 1: Holt's Wealth Management. He's a Bloomberg Opinion calmness and host 16 00:00:52,400 --> 00:00:56,000 Speaker 1: of Masters in Business on Bloomberg. Really like fantastic podcast. 17 00:00:56,160 --> 00:00:59,400 Speaker 1: All right, Barry, coin Base yesterday, A lot of folks 18 00:00:59,400 --> 00:01:02,440 Speaker 1: are out there with a narrative that coin base, uh 19 00:01:02,800 --> 00:01:06,440 Speaker 1: was a validation point for the crypto market. Is that 20 00:01:06,560 --> 00:01:10,039 Speaker 1: how you viewed it. I was more intrigued by the 21 00:01:10,080 --> 00:01:12,760 Speaker 1: fact that it was a direct listing by passing the 22 00:01:12,840 --> 00:01:17,040 Speaker 1: usual I P O process. And you have folks, especially 23 00:01:17,040 --> 00:01:20,560 Speaker 1: out in Silicon Valley, people like Bill Gurley of Benchmark Capital, 24 00:01:20,840 --> 00:01:26,200 Speaker 1: who have been saying, hey, why are we having big 25 00:01:26,319 --> 00:01:30,880 Speaker 1: brokerage firms and Wall Street capturing or miss pricing so 26 00:01:31,000 --> 00:01:34,200 Speaker 1: much of the value of these new companies. Hold that aside. 27 00:01:34,200 --> 00:01:38,640 Speaker 1: Maybe that's a little too inside baseball, but but the 28 00:01:40,560 --> 00:01:44,280 Speaker 1: what what coin base validates is that there is now 29 00:01:44,319 --> 00:01:49,600 Speaker 1: a credible way uh to deal on an institutional basis 30 00:01:49,640 --> 00:01:52,760 Speaker 1: with holding crypto. So some of the studies have shown 31 00:01:53,960 --> 00:01:59,840 Speaker 1: maybe even of all mind coins have either been law 32 00:02:00,480 --> 00:02:05,480 Speaker 1: or are locked in password protected Matt Mill where can 33 00:02:05,640 --> 00:02:08,919 Speaker 1: access it? And and you know, imagine if a third 34 00:02:08,960 --> 00:02:12,760 Speaker 1: of brokerage accounts, sorry you, your money is gone. You're 35 00:02:12,800 --> 00:02:16,640 Speaker 1: purposely rubbing salt in my wounds. Here, Berry, how much? 36 00:02:16,720 --> 00:02:19,600 Speaker 1: How much bitcoin have you lost somewhere? How many? Nine eleven? 37 00:02:19,760 --> 00:02:22,720 Speaker 1: I don't know, And even if I knew, I couldn't 38 00:02:22,760 --> 00:02:25,120 Speaker 1: tell you because my wife already wants to kill me. 39 00:02:25,560 --> 00:02:27,320 Speaker 1: So whenever she asked me like how much is it, 40 00:02:27,320 --> 00:02:30,200 Speaker 1: I'm like, it's a very small amount. Don't worry. The 41 00:02:30,280 --> 00:02:33,799 Speaker 1: g T three fully mocked up for the track for you. 42 00:02:33,800 --> 00:02:41,280 Speaker 1: You definitely definitely that it's definitely regular password by blockchain wallet. 43 00:02:41,480 --> 00:02:44,120 Speaker 1: And uh, I promptly forgot about it. You know, it 44 00:02:44,200 --> 00:02:48,040 Speaker 1: was two thousand twelve. What what did I know? So 45 00:02:48,200 --> 00:02:55,200 Speaker 1: coin base is what solves theoretically anyway solves that problem 46 00:02:55,240 --> 00:02:58,480 Speaker 1: because you don't have to I mean, I've heard stories 47 00:02:58,520 --> 00:03:03,120 Speaker 1: about people etching past words on on metal bars and 48 00:03:03,120 --> 00:03:07,560 Speaker 1: then sticking that into a into a bank vault, and 49 00:03:07,960 --> 00:03:11,080 Speaker 1: then you have to worry is the melting point of 50 00:03:11,080 --> 00:03:14,000 Speaker 1: that steel high enough in case the bank burns down? 51 00:03:14,280 --> 00:03:17,920 Speaker 1: I mean, think about how crazy that is. Dude, Matthew 52 00:03:17,919 --> 00:03:20,240 Speaker 1: Mellen used to do. He Matthew Mellen used to put 53 00:03:20,280 --> 00:03:22,560 Speaker 1: it on He used to go and buy laptops and 54 00:03:22,600 --> 00:03:24,919 Speaker 1: then put it on them in cold storage and then 55 00:03:24,960 --> 00:03:27,840 Speaker 1: go and buy safe and bring them to friends houses 56 00:03:27,840 --> 00:03:29,480 Speaker 1: and then put it in the safe in a friend's house. 57 00:03:29,520 --> 00:03:32,799 Speaker 1: You know, So like, uh, some people get very That's 58 00:03:32,800 --> 00:03:37,560 Speaker 1: why I like the equity traded product that coin Shares does. 59 00:03:37,760 --> 00:03:40,640 Speaker 1: You can buy bitcoin through them and they just hold 60 00:03:40,680 --> 00:03:43,480 Speaker 1: it in custody for you. As someone who has had 61 00:03:44,240 --> 00:03:49,520 Speaker 1: computers and laptops. Going back to my Mac Classic, I 62 00:03:49,560 --> 00:03:52,000 Speaker 1: wouldn't want to put a billion dollars of value on 63 00:03:52,160 --> 00:03:57,320 Speaker 1: something as completely unreliable as a laptop in cold storage. 64 00:03:57,400 --> 00:04:02,440 Speaker 1: Talk about a recipe for disaster, No hard pass, Barry. 65 00:04:02,440 --> 00:04:04,440 Speaker 1: I want to get to UM. You know, I've been 66 00:04:04,480 --> 00:04:10,480 Speaker 1: working here at Bloomberg since January of two thousand and UM. 67 00:04:10,640 --> 00:04:13,400 Speaker 1: I think I started paying attention like six or seven 68 00:04:13,440 --> 00:04:20,000 Speaker 1: years later. I remember distinctly hearing arguments for the continued 69 00:04:20,080 --> 00:04:23,240 Speaker 1: market run up in two thousands six seven that there 70 00:04:23,320 --> 00:04:25,839 Speaker 1: was so much cash on the sidelines, and I was 71 00:04:26,800 --> 00:04:31,240 Speaker 1: totally uh, you know, sold hook line and sinker on this. Man, 72 00:04:31,279 --> 00:04:34,080 Speaker 1: If there's two trillion dollars in cash on the sidelines, 73 00:04:34,120 --> 00:04:36,680 Speaker 1: then this market has a lot further to run. I've 74 00:04:36,720 --> 00:04:39,080 Speaker 1: never heard the end of that argument. No matter what, 75 00:04:39,279 --> 00:04:42,520 Speaker 1: there's always so much cash on the sidelines. What is 76 00:04:42,560 --> 00:04:46,320 Speaker 1: this coming from. Well, it's one of those tropes that 77 00:04:46,640 --> 00:04:51,920 Speaker 1: live brokers used to talk people into buying or trading stocks. Look, 78 00:04:52,000 --> 00:04:55,279 Speaker 1: there's always cash on the sidelines, number one. That doesn't 79 00:04:55,320 --> 00:04:58,799 Speaker 1: go away. And if you want to talk about cash 80 00:04:59,040 --> 00:05:03,360 Speaker 1: that matters, you're either talking about the velocity of money 81 00:05:03,400 --> 00:05:07,040 Speaker 1: how fast cash is moving through the economy. And as 82 00:05:07,080 --> 00:05:11,200 Speaker 1: we've seen in the velocity of money was very low 83 00:05:11,960 --> 00:05:15,360 Speaker 1: even as the market rocketed up to new highs. So 84 00:05:15,400 --> 00:05:17,880 Speaker 1: it can't be that. And and then there are other 85 00:05:17,960 --> 00:05:22,240 Speaker 1: things to look at. Um. The AII does a study 86 00:05:22,640 --> 00:05:26,400 Speaker 1: on a monthly basis of how much cash is allocated 87 00:05:26,520 --> 00:05:31,080 Speaker 1: within individual portfolios to stocks versus cash, and at peace 88 00:05:31,200 --> 00:05:34,120 Speaker 1: it's too much stock, and and at lows it's too 89 00:05:34,200 --> 00:05:36,560 Speaker 1: much cash. But you know, you get a signal from 90 00:05:36,560 --> 00:05:39,040 Speaker 1: that once every five or ten years. It's nothing that's 91 00:05:39,080 --> 00:05:43,880 Speaker 1: that's reliable. The one simple way to think about this is, 92 00:05:44,560 --> 00:05:47,000 Speaker 1: all right, so all that cash on the sidelines, what's 93 00:05:47,000 --> 00:05:49,320 Speaker 1: going to happen with that? Well, Matt, if I'm going 94 00:05:49,360 --> 00:05:53,120 Speaker 1: to buy a thousand shares of Amazon from you, I 95 00:05:53,200 --> 00:05:57,000 Speaker 1: have cash, you have stocked. We engage in that transaction 96 00:05:57,160 --> 00:06:00,680 Speaker 1: through through our robin Hood account. Now, how I have 97 00:06:00,800 --> 00:06:04,719 Speaker 1: a thousand shares of Amazon and you have six thousand 98 00:06:04,800 --> 00:06:08,080 Speaker 1: dollars in cash. The same exact amount of money is 99 00:06:08,120 --> 00:06:12,880 Speaker 1: still on the sidelines. For every buyer of stock. There 100 00:06:12,960 --> 00:06:16,600 Speaker 1: is a seller um who gets the cash, and so 101 00:06:16,760 --> 00:06:21,039 Speaker 1: the cash on the sidelines never changes. It's just ownership 102 00:06:21,080 --> 00:06:25,280 Speaker 1: of the cash and the equity swaps hands it. By 103 00:06:23,520 --> 00:06:28,120 Speaker 1: the way, does the dry powder article our argument for 104 00:06:28,160 --> 00:06:31,880 Speaker 1: private equity hold up for you? Is that a different story. UM, 105 00:06:32,000 --> 00:06:35,400 Speaker 1: So if you're talking about either private equity or venture 106 00:06:35,440 --> 00:06:39,200 Speaker 1: capital or or anything's like that, you're really talking about 107 00:06:39,279 --> 00:06:44,080 Speaker 1: a very different asset class that is attracting capital because 108 00:06:44,160 --> 00:06:47,480 Speaker 1: it's successful. Lets use venture capital is even better example, 109 00:06:47,800 --> 00:06:50,920 Speaker 1: because private equity is kind of hard to determine what's 110 00:06:50,920 --> 00:06:55,280 Speaker 1: private equity and what's UM traditional syndication and M and 111 00:06:55,360 --> 00:06:58,400 Speaker 1: A and other stuff like that. Venture capital started out 112 00:06:58,440 --> 00:07:01,360 Speaker 1: in the sixties and seventies as a way to, hey, 113 00:07:01,400 --> 00:07:04,280 Speaker 1: how can we work with the Defense Department and others 114 00:07:04,640 --> 00:07:08,240 Speaker 1: to steer money to these important technologies where if you 115 00:07:08,320 --> 00:07:11,920 Speaker 1: remember or have read about spot nick Us Island, Russia. 116 00:07:12,440 --> 00:07:15,360 Speaker 1: And as as these companies became more and more successful, 117 00:07:15,960 --> 00:07:20,480 Speaker 1: remember semiconductors and integrated circuits is something that was produced 118 00:07:20,520 --> 00:07:23,920 Speaker 1: by UM the Apollo program and the Defense Department and 119 00:07:24,320 --> 00:07:28,040 Speaker 1: at the same with the Internet. So as as more 120 00:07:28,080 --> 00:07:31,280 Speaker 1: and more of these products scenes attracted more successful returns, 121 00:07:31,880 --> 00:07:36,200 Speaker 1: more money flowed to that sector. Alright, fascinating conversation which 122 00:07:36,200 --> 00:07:38,680 Speaker 1: we will have to continue. We've got to kick off 123 00:07:38,720 --> 00:07:41,160 Speaker 1: our car show too. You mentioned the g T three. 124 00:07:41,480 --> 00:07:48,160 Speaker 1: I really want one, UM, really excited for naturally aspirated 125 00:07:48,200 --> 00:07:53,480 Speaker 1: boxer still in Porsche's lineup. Now, I want to bring 126 00:07:53,520 --> 00:07:57,920 Speaker 1: in former senior advisor of the US Treasury Department, Dan Katz. 127 00:07:57,960 --> 00:08:01,880 Speaker 1: He is also a Bloomberg opinion contributor, and he's written 128 00:08:01,880 --> 00:08:07,440 Speaker 1: a story about airlines um who have which have already 129 00:08:07,480 --> 00:08:13,320 Speaker 1: received so many tens of billions of dollars in taxpayer 130 00:08:13,400 --> 00:08:17,360 Speaker 1: help that maybe it's um, it's already too much. They 131 00:08:17,400 --> 00:08:20,440 Speaker 1: don't need anymore, Dan Um. In your in your piece, 132 00:08:20,480 --> 00:08:23,280 Speaker 1: you point out that US airlines got a fifty billion 133 00:08:23,640 --> 00:08:28,240 Speaker 1: dollar lifeline um last year last March, and then another 134 00:08:28,400 --> 00:08:32,960 Speaker 1: twenty billion dollars through the bipartisan year end relief package 135 00:08:33,120 --> 00:08:36,559 Speaker 1: and President biden stimulus plan. At this point, shouldn't the 136 00:08:36,640 --> 00:08:42,000 Speaker 1: US government own the US airlines outright? Uh? Well, it's 137 00:08:42,240 --> 00:08:45,040 Speaker 1: it's great to be with you, Matt and uh. And 138 00:08:45,280 --> 00:08:48,120 Speaker 1: you know, when I think about the amount of support 139 00:08:48,160 --> 00:08:52,200 Speaker 1: that's been provided to the airline, I think you really 140 00:08:52,280 --> 00:08:55,560 Speaker 1: have to break it up into what was done during 141 00:08:55,640 --> 00:08:58,800 Speaker 1: the heart of the panic, and then what was done 142 00:08:59,120 --> 00:09:03,400 Speaker 1: at at more recent times, and so in the context 143 00:09:03,480 --> 00:09:07,839 Speaker 1: of the original uh, the original intervention in March, Now, 144 00:09:08,040 --> 00:09:12,560 Speaker 1: the industry was really in an unprecedented free fall, you know, 145 00:09:12,600 --> 00:09:15,800 Speaker 1: just to take Delta, which reported this morning, you know, 146 00:09:15,840 --> 00:09:18,800 Speaker 1: they reported this morning that they were actually cash positive 147 00:09:18,800 --> 00:09:21,760 Speaker 1: in March and had access to about sixteen billion dollars 148 00:09:21,760 --> 00:09:26,720 Speaker 1: of liquidity. But in March, in their same morning report, 149 00:09:26,840 --> 00:09:29,760 Speaker 1: they were burning a hundred million dollars a day and 150 00:09:29,840 --> 00:09:32,760 Speaker 1: only had access to six million dollars of liquidity. And 151 00:09:32,880 --> 00:09:37,199 Speaker 1: deltas you know, widely acknowledged as one of the stronger 152 00:09:37,240 --> 00:09:40,320 Speaker 1: carriers in terms of the financial position amongst the large 153 00:09:40,360 --> 00:09:43,960 Speaker 1: carriers out there. So we really faced what could potentially 154 00:09:44,000 --> 00:09:49,480 Speaker 1: be a collapse of the industry or widespread, hugely widespread 155 00:09:49,520 --> 00:09:52,000 Speaker 1: layoffs that would have come at the worst possible time, 156 00:09:52,120 --> 00:09:54,800 Speaker 1: both for the labor market and also for our ability 157 00:09:54,800 --> 00:09:57,480 Speaker 1: to respond to the pandemic. So what we did in 158 00:09:57,880 --> 00:10:00,760 Speaker 1: at the end of March, you know, under the leadership 159 00:10:00,840 --> 00:10:04,679 Speaker 1: of of Secretary Minution, who was who's really uh, you know, 160 00:10:04,760 --> 00:10:07,680 Speaker 1: extraordinary in this period, I think is clearly going to 161 00:10:07,720 --> 00:10:10,840 Speaker 1: be remembered as one of the great Treasury secretaries in history. 162 00:10:11,480 --> 00:10:15,319 Speaker 1: As we put together a package that stabilized the airlines 163 00:10:15,400 --> 00:10:19,120 Speaker 1: in the short term by offering UH some payroll support 164 00:10:19,559 --> 00:10:23,319 Speaker 1: and also provided them access to loans, which had an 165 00:10:23,320 --> 00:10:27,720 Speaker 1: extremely helpful effect in allowing them to gain access to 166 00:10:27,800 --> 00:10:32,680 Speaker 1: credit markets where they've borrowed very very successfully over the 167 00:10:32,800 --> 00:10:35,199 Speaker 1: last year. And the result of that has been that 168 00:10:35,240 --> 00:10:37,600 Speaker 1: we've kept the airline that we kept the airline industry 169 00:10:37,640 --> 00:10:42,480 Speaker 1: together during the hardest part of the pandemic and UH 170 00:10:42,679 --> 00:10:46,680 Speaker 1: and and gotten them through to the other side. UH. 171 00:10:46,760 --> 00:10:51,880 Speaker 1: The question now is what should taxpayers do visa v 172 00:10:52,000 --> 00:10:55,760 Speaker 1: airlines UH in the near term? And you know, I 173 00:10:55,800 --> 00:11:00,199 Speaker 1: think I think there's little argument, based on the financial 174 00:11:00,240 --> 00:11:02,840 Speaker 1: metrics that we're seeing from the carriers today that they 175 00:11:02,880 --> 00:11:07,080 Speaker 1: needed another fourteen billion dollars in March. And then there's 176 00:11:07,120 --> 00:11:10,560 Speaker 1: going to be another fight, probably in September when the 177 00:11:10,600 --> 00:11:15,800 Speaker 1: protections associated with the March UH taxpayer funds expire, over 178 00:11:15,840 --> 00:11:20,080 Speaker 1: whether they should receive further support. And I think any 179 00:11:20,160 --> 00:11:23,960 Speaker 1: reasonable observer would say it's time for the government to 180 00:11:24,000 --> 00:11:27,360 Speaker 1: step back and allow the industry to stand on it. So, so, Dan, 181 00:11:27,400 --> 00:11:29,920 Speaker 1: do you think do you think the industry is out 182 00:11:29,920 --> 00:11:34,360 Speaker 1: of the woods now? Look, I'm not really in a 183 00:11:34,400 --> 00:11:39,959 Speaker 1: position to accurately forecast what the return of airline demand 184 00:11:40,040 --> 00:11:42,560 Speaker 1: is going to be like. Uh, you know, certainly there 185 00:11:42,559 --> 00:11:46,520 Speaker 1: are big issues associated with international travel and also with 186 00:11:46,720 --> 00:11:50,480 Speaker 1: business travel, which is so important to these carriers strategy. Um. 187 00:11:50,520 --> 00:11:53,200 Speaker 1: But what I will say is that they're all in 188 00:11:53,600 --> 00:11:56,719 Speaker 1: a very strong financial propression. Most of them are in 189 00:11:56,760 --> 00:12:00,480 Speaker 1: a very strong financial position, and so manage of teams 190 00:12:00,520 --> 00:12:03,920 Speaker 1: employees are in a position to navigate that future demand 191 00:12:04,000 --> 00:12:06,440 Speaker 1: purf uh, and it's time for them to do that 192 00:12:06,640 --> 00:12:09,920 Speaker 1: in the absence of taxpayer support. I just want to 193 00:12:09,920 --> 00:12:12,959 Speaker 1: get something you said earlier about Steve Manuchin. You think 194 00:12:12,960 --> 00:12:14,600 Speaker 1: he's going to go down as one of the great 195 00:12:15,640 --> 00:12:21,199 Speaker 1: Treasury secretaries in history um owing to his actions during 196 00:12:21,240 --> 00:12:27,400 Speaker 1: the pandemic bailout. The Paycheck Protection Program has so often 197 00:12:27,440 --> 00:12:32,400 Speaker 1: been derided as inefficient and and inept at the hands 198 00:12:32,520 --> 00:12:37,120 Speaker 1: of Steve Manuchin. Um, what do you think he did 199 00:12:37,840 --> 00:12:42,280 Speaker 1: that that merits putting him up along the grates in 200 00:12:42,320 --> 00:12:48,920 Speaker 1: the in the Hall of fame for Treasury secretaries. Well, look, 201 00:12:48,960 --> 00:12:51,439 Speaker 1: you know, just just quickly to respond to your point 202 00:12:51,600 --> 00:12:55,440 Speaker 1: on the p p P, I think a lot of 203 00:12:55,480 --> 00:13:00,520 Speaker 1: the news coverage, unsurprisingly has focused on uh some of uh, 204 00:13:00,559 --> 00:13:05,240 Speaker 1: you know, less desirable outcomes as we implemented the program 205 00:13:05,440 --> 00:13:09,520 Speaker 1: very very quickly. But what it hasn't focused on is 206 00:13:09,720 --> 00:13:14,320 Speaker 1: the overwhelming speed and success of the vast, vast majority 207 00:13:14,320 --> 00:13:17,240 Speaker 1: of the program. That that in and out itself, right, 208 00:13:17,320 --> 00:13:20,160 Speaker 1: the simplicity of getting it out there, speed of getting 209 00:13:20,160 --> 00:13:22,640 Speaker 1: it out there, which which is always going to involve 210 00:13:22,800 --> 00:13:27,439 Speaker 1: some execution risk, that that was hugely helpful to stabilize 211 00:13:27,440 --> 00:13:31,920 Speaker 1: in the economy and keeping workers attached to attached to 212 00:13:31,920 --> 00:13:35,000 Speaker 1: their healthcare and their and their employers, and also saving 213 00:13:35,240 --> 00:13:39,120 Speaker 1: you know, many many millions of jobs at small businesses 214 00:13:39,160 --> 00:13:41,480 Speaker 1: across the country. So I don't I don't think that's 215 00:13:41,480 --> 00:13:43,560 Speaker 1: really a fair critique of the p p P and 216 00:13:43,559 --> 00:13:47,040 Speaker 1: in terms of the broader legacy. But but but wait, 217 00:13:47,080 --> 00:13:49,320 Speaker 1: so you think the p p P was an efficiently 218 00:13:49,440 --> 00:13:53,000 Speaker 1: used program. All that money um went to you're saying, 219 00:13:53,360 --> 00:13:59,160 Speaker 1: save jobs and keep employee healthcare, and and that's documented. Well, 220 00:13:59,200 --> 00:14:03,840 Speaker 1: I think that, uh you can if unipick find uh, 221 00:14:03,880 --> 00:14:07,160 Speaker 1: you know, relatively small in relation to the entire scale 222 00:14:07,200 --> 00:14:12,079 Speaker 1: of the program issues to include fraud access by public companies. 223 00:14:12,480 --> 00:14:15,280 Speaker 1: We're all familiar with the stories out there, but you know, 224 00:14:15,440 --> 00:14:18,760 Speaker 1: some of my colleagues, Mike Falkoner and Steve Myron have 225 00:14:18,880 --> 00:14:20,520 Speaker 1: looked at in the paper they put out at the 226 00:14:20,560 --> 00:14:23,800 Speaker 1: end of last year, the program on the whole was 227 00:14:24,000 --> 00:14:27,960 Speaker 1: hugely successful in saving tens of millions of jobs. And 228 00:14:28,040 --> 00:14:30,520 Speaker 1: so I don't think it's fair to say because there 229 00:14:30,560 --> 00:14:32,720 Speaker 1: was one news story about shake Shack, or there were 230 00:14:32,760 --> 00:14:35,480 Speaker 1: a few instance to the fraud, that the whole program 231 00:14:35,600 --> 00:14:38,000 Speaker 1: is hard. I think if you look at the complete record, 232 00:14:38,000 --> 00:14:40,840 Speaker 1: there's no question that this program was hugely important in 233 00:14:40,880 --> 00:14:44,280 Speaker 1: protecting the economy through the worst of the pandemic. Dan, 234 00:14:44,320 --> 00:14:46,960 Speaker 1: thanks so much for joining us. We appreciate it. Dan Katz, 235 00:14:47,000 --> 00:14:49,600 Speaker 1: he's a former senior advisor at the U. S. Treasury 236 00:14:49,600 --> 00:14:55,520 Speaker 1: Department from one. He's also a Bloomberg opinion contributor. Dan 237 00:14:55,640 --> 00:14:58,960 Speaker 1: cats looking at the market here, Matt continued strength in 238 00:14:59,240 --> 00:15:01,560 Speaker 1: this market. Continue to see green on the screen. It's 239 00:15:01,560 --> 00:15:05,240 Speaker 1: a positive economic data and some decent earnings. Yeah. Absolutely, 240 00:15:05,320 --> 00:15:08,080 Speaker 1: the bank earnings picture, although I guess, um, you and 241 00:15:08,160 --> 00:15:09,920 Speaker 1: Dave Wilson need to sit down over a beer and 242 00:15:09,960 --> 00:15:14,000 Speaker 1: discuss that. Maybe you can meet in Montclair and figure 243 00:15:14,000 --> 00:15:16,360 Speaker 1: out whether these bank earnings look good or bad. They 244 00:15:16,400 --> 00:15:20,440 Speaker 1: are definitely they have definitely beaten by a large margin um. 245 00:15:20,480 --> 00:15:24,360 Speaker 1: Certainly JP Morgan yesterday and Goldman Sachs, but even today 246 00:15:24,400 --> 00:15:26,520 Speaker 1: Bank America I thought was really pretty good when they 247 00:15:26,560 --> 00:15:29,360 Speaker 1: came out with earnings a little bit early. We'll continue 248 00:15:29,360 --> 00:15:33,440 Speaker 1: to watch reaction. This is Bloomberg. Let's get a look 249 00:15:33,440 --> 00:15:36,200 Speaker 1: at this market holistical way. We do that with Chris 250 00:15:36,240 --> 00:15:40,360 Speaker 1: Wolfe's the chief investment officer for First Republic Private Wealth Management. 251 00:15:40,400 --> 00:15:43,880 Speaker 1: They have about two and twenty billion dollars in assets 252 00:15:43,960 --> 00:15:46,080 Speaker 1: under management. So christ Matt and I were just talking 253 00:15:46,080 --> 00:15:47,880 Speaker 1: about this market, and we're saying, hey, even when you 254 00:15:47,960 --> 00:15:50,800 Speaker 1: got a big company like a city like a Bank 255 00:15:50,800 --> 00:15:53,960 Speaker 1: of American, report some really strong numbers, the stock doesn't 256 00:15:54,000 --> 00:15:58,280 Speaker 1: necessarily move higher. Does that signal maybe a risk for 257 00:15:58,320 --> 00:16:03,120 Speaker 1: this market that, uh, the market's really discounting just extraordinary 258 00:16:03,120 --> 00:16:06,760 Speaker 1: earnings and if you don't deliver, you're not gonna get paid. Yeah. 259 00:16:06,760 --> 00:16:09,480 Speaker 1: I think there's a syentim here, which is what's going 260 00:16:09,520 --> 00:16:11,320 Speaker 1: on in the first quarter. And I think a lot 261 00:16:11,320 --> 00:16:14,480 Speaker 1: of expectations for investors were built up to a pretty 262 00:16:14,560 --> 00:16:17,120 Speaker 1: high level. So what they're really looking for, I think 263 00:16:17,240 --> 00:16:19,600 Speaker 1: is the guidance about the second half of the remainder 264 00:16:19,640 --> 00:16:21,880 Speaker 1: part of this year. And that guidance has turned out 265 00:16:21,920 --> 00:16:23,760 Speaker 1: to be just a little bit tepid. It makes sense 266 00:16:23,800 --> 00:16:26,760 Speaker 1: for folks to offer guidance that's not super bullish right now. 267 00:16:26,840 --> 00:16:29,440 Speaker 1: So I think investors just built up an expectation that 268 00:16:29,520 --> 00:16:32,560 Speaker 1: the guidance for the remainder of the year and particularly financials, 269 00:16:32,800 --> 00:16:35,200 Speaker 1: you know, loan volume and other things, would be very strong, 270 00:16:35,280 --> 00:16:37,800 Speaker 1: and it's just come in a little bit less than expected. 271 00:16:37,880 --> 00:16:40,080 Speaker 1: I don't I don't read a lot into today's trading 272 00:16:40,120 --> 00:16:42,760 Speaker 1: that there's a huge risk here. I think what's behind 273 00:16:42,760 --> 00:16:44,680 Speaker 1: all of it in terms of the economic data is 274 00:16:44,720 --> 00:16:47,720 Speaker 1: still very strong that we're going to get into an 275 00:16:47,800 --> 00:16:50,440 Speaker 1: earning season, not just for first quarter, which would be good, 276 00:16:50,560 --> 00:16:52,240 Speaker 1: but I think it'll be carried through the second and 277 00:16:52,280 --> 00:16:56,040 Speaker 1: third quarter. Does loan growth have to be strong for 278 00:16:56,160 --> 00:17:01,000 Speaker 1: you to really expect seven, you know, eight percent growth 279 00:17:01,200 --> 00:17:03,160 Speaker 1: this year for you to really expect to pop in. 280 00:17:04,240 --> 00:17:06,520 Speaker 1: Do people need to be running out and borrowing money 281 00:17:06,560 --> 00:17:08,760 Speaker 1: for businesses if the economy is going to be growing 282 00:17:08,760 --> 00:17:12,639 Speaker 1: that that quickly? You know? I think, Look, we wrote 283 00:17:12,640 --> 00:17:14,360 Speaker 1: a piece a couple of months ago called the Year 284 00:17:14,440 --> 00:17:17,119 Speaker 1: two Bridges. We thought one was gonna have required to 285 00:17:17,119 --> 00:17:19,160 Speaker 1: get through it a healthcare bridge and a stimulus bridge 286 00:17:19,200 --> 00:17:21,479 Speaker 1: and BOYD and we're getting that in spades. I do 287 00:17:21,560 --> 00:17:24,520 Speaker 1: think there's some learnering concerns though about kind of the 288 00:17:24,600 --> 00:17:28,240 Speaker 1: variants in COVID, and ultimately the Johnson Johnson vaccine news 289 00:17:28,280 --> 00:17:30,920 Speaker 1: has been to think a little bit challenging. So um, 290 00:17:30,960 --> 00:17:33,760 Speaker 1: I think that healthcare bridge is mostly built, but it's 291 00:17:33,800 --> 00:17:35,760 Speaker 1: got a ways to go, and the stimulus bridge is 292 00:17:35,840 --> 00:17:38,239 Speaker 1: just you know, being built as fast as possible. So 293 00:17:38,600 --> 00:17:40,919 Speaker 1: why would we use this as an example because I 294 00:17:40,960 --> 00:17:43,440 Speaker 1: think when you're talking about the second, third, and fourth quarter, 295 00:17:43,920 --> 00:17:46,920 Speaker 1: there's a little bit of caution now, But as sentiment improves, 296 00:17:46,960 --> 00:17:49,359 Speaker 1: the COVID bridge gets finalized and we get into a 297 00:17:49,359 --> 00:17:52,840 Speaker 1: place where there's more infrastructure spending, I think sentiment improves 298 00:17:52,840 --> 00:17:55,359 Speaker 1: a little bit more and that releases some of the 299 00:17:55,400 --> 00:17:57,520 Speaker 1: savings to get you to the seven, eight, nine. And 300 00:17:57,560 --> 00:17:59,720 Speaker 1: by the way, there's even an outside chance on GDP 301 00:18:00,119 --> 00:18:02,800 Speaker 1: that you print a nine or ten handle uh in 302 00:18:03,840 --> 00:18:06,679 Speaker 1: one because of all the stimulus that hasn't been spent yet, 303 00:18:06,720 --> 00:18:09,199 Speaker 1: a lot of it's been saved. So to the extent 304 00:18:09,240 --> 00:18:11,960 Speaker 1: companies looking to run out and borrow money, I think 305 00:18:12,000 --> 00:18:14,119 Speaker 1: what they're gonna be is a little bit cautious and 306 00:18:14,200 --> 00:18:16,520 Speaker 1: kind of use the first quarter and use the kind 307 00:18:16,520 --> 00:18:18,840 Speaker 1: of spending story that consumers are going to put up 308 00:18:18,840 --> 00:18:21,760 Speaker 1: there as sentiments improves as a way to respond to that. 309 00:18:21,880 --> 00:18:23,560 Speaker 1: But you know, all things told, banks are in a 310 00:18:23,600 --> 00:18:25,919 Speaker 1: pretty good shape to capture that, you know, potential loan 311 00:18:25,960 --> 00:18:28,320 Speaker 1: growth later this year. All right, Chris, we look at 312 00:18:28,320 --> 00:18:32,359 Speaker 1: these equity markets here charging charging to ever higher highs. 313 00:18:32,800 --> 00:18:36,120 Speaker 1: What's the biggest risks to the equity call right here? 314 00:18:38,080 --> 00:18:40,240 Speaker 1: You know that. I think the biggest is really two 315 00:18:40,280 --> 00:18:42,560 Speaker 1: of them. One is the bridges we just talked about 316 00:18:42,640 --> 00:18:45,560 Speaker 1: fail for some reason. There's a variant mutation in the 317 00:18:46,040 --> 00:18:49,000 Speaker 1: uh COVID story that we just don't understand yet. Science 318 00:18:49,040 --> 00:18:51,520 Speaker 1: suggests that mutations are picking up outside the rest of 319 00:18:51,520 --> 00:18:54,199 Speaker 1: the world, and that's kind of a tale to that 320 00:18:54,280 --> 00:18:57,080 Speaker 1: story as well. The big surprise has been how weak 321 00:18:57,440 --> 00:19:00,000 Speaker 1: the vaccine response has been in Europe and other areas 322 00:19:00,000 --> 00:19:02,360 Speaker 1: of the world. The US, despite all of our challenges, 323 00:19:02,359 --> 00:19:05,200 Speaker 1: is actually leading in this regard. So the risks of 324 00:19:05,359 --> 00:19:07,800 Speaker 1: the rest of the world just ends up with lots 325 00:19:07,800 --> 00:19:09,520 Speaker 1: of variants running around and we end up in a 326 00:19:09,560 --> 00:19:13,159 Speaker 1: reinfection pattern. And that's a meaningful one with respect to 327 00:19:13,280 --> 00:19:16,960 Speaker 1: consumption sentiment and ultimately market multiples. UM. You know, I 328 00:19:17,000 --> 00:19:19,200 Speaker 1: think the second piece is more strategic, and it's really 329 00:19:19,240 --> 00:19:22,600 Speaker 1: what's the relationship between US and China right now? It's 330 00:19:22,840 --> 00:19:25,840 Speaker 1: you know, fairly challenged. There's a lot of things that 331 00:19:26,080 --> 00:19:28,640 Speaker 1: look like China wants to be equal with the US. 332 00:19:28,680 --> 00:19:30,720 Speaker 1: In many ways they are, But the reality is, I 333 00:19:30,720 --> 00:19:35,359 Speaker 1: think economically, things like digital currencies, for example, changing payment 334 00:19:35,400 --> 00:19:38,880 Speaker 1: systems represents structural changes that I'm not sure how they're 335 00:19:38,880 --> 00:19:41,280 Speaker 1: all going to play out, And I think for most investors, 336 00:19:41,520 --> 00:19:43,600 Speaker 1: I'm not sure they're all bad, but they may represent 337 00:19:43,680 --> 00:19:45,719 Speaker 1: a change and a big change to the way they 338 00:19:45,720 --> 00:19:50,200 Speaker 1: think about investing in one and beyond. So what are 339 00:19:50,200 --> 00:19:53,639 Speaker 1: you saying that China maybe as a command economy UM 340 00:19:53,760 --> 00:19:55,639 Speaker 1: has a little bit of a lead here in the 341 00:19:55,760 --> 00:19:58,800 Speaker 1: in the short and near term. But with respect to 342 00:19:58,880 --> 00:20:01,320 Speaker 1: blockchain technology all the way back to the you know, 343 00:20:01,440 --> 00:20:04,919 Speaker 1: mine is tracking people with COVID. I mean, there's no 344 00:20:05,000 --> 00:20:10,119 Speaker 1: privacy issues there. They run everything that that is absolutely true, 345 00:20:10,119 --> 00:20:12,240 Speaker 1: but that's their model, and their their model works to 346 00:20:12,240 --> 00:20:14,879 Speaker 1: put up GDP numbers, you know, fairly consistently. You can 347 00:20:14,920 --> 00:20:17,240 Speaker 1: believe them or not but the reality is that's where 348 00:20:17,280 --> 00:20:20,480 Speaker 1: they are. The relationship US has what China is important though, 349 00:20:20,920 --> 00:20:22,840 Speaker 1: key though. All right, Chris, thanks so much for joining us. 350 00:20:22,920 --> 00:20:25,920 Speaker 1: Chris Wolf, their chief investment officer of First Republic Private 351 00:20:25,920 --> 00:20:29,080 Speaker 1: Wealth Management, talking to us about the state of the 352 00:20:29,080 --> 00:20:32,120 Speaker 1: economy as we're in the heart of bank earnings. This 353 00:20:32,880 --> 00:20:37,920 Speaker 1: is Bloomberg I want to bring in right now. Can Leon, 354 00:20:37,960 --> 00:20:42,520 Speaker 1: he's a global director of UH Industry and Equity Research 355 00:20:42,600 --> 00:20:47,800 Speaker 1: at cf are A Research, talking to us about what 356 00:20:47,840 --> 00:20:51,080 Speaker 1: we saw this morning and yesterday, Um, in terms of 357 00:20:51,080 --> 00:20:55,160 Speaker 1: bank earnings and what we can expect tomorrow. Can first off, UM, 358 00:20:55,280 --> 00:20:57,879 Speaker 1: talk to me about Bank America earnings. They came out early, 359 00:20:58,640 --> 00:21:00,919 Speaker 1: very early. In fact, it was the first time I 360 00:21:00,920 --> 00:21:04,160 Speaker 1: can remember coming out in the five am hour Bank 361 00:21:04,200 --> 00:21:08,720 Speaker 1: America earnings. They looked good. Um, initially not you know, 362 00:21:08,840 --> 00:21:12,040 Speaker 1: JP Morgan, Goldman Sacks good, but still pretty good. And 363 00:21:12,119 --> 00:21:15,280 Speaker 1: yet the stock is off. Why are investors selling it? 364 00:21:17,000 --> 00:21:20,439 Speaker 1: So Bank of America is more of a commercial bank 365 00:21:20,760 --> 00:21:25,399 Speaker 1: than a capital markets driven back JP Morgan also is 366 00:21:25,480 --> 00:21:28,480 Speaker 1: kind of a hybrid. Of course, Goldman, Sachs and Morgan 367 00:21:28,560 --> 00:21:32,120 Speaker 1: Stanley are all feed in with the capital markets, which 368 00:21:32,119 --> 00:21:34,919 Speaker 1: we like a lot Bank of America. Then when you 369 00:21:34,960 --> 00:21:37,840 Speaker 1: look at the mechanics of how it drives growth and 370 00:21:37,920 --> 00:21:43,320 Speaker 1: the high investor expectations ahead has to drive higher net 371 00:21:43,400 --> 00:21:48,240 Speaker 1: interest income, which means a steepening yield curve, and then 372 00:21:48,400 --> 00:21:51,800 Speaker 1: it's the US economy. Can we get the consumer and 373 00:21:52,080 --> 00:21:58,920 Speaker 1: commercial businesses to increase lown activity. Those measures were negative 374 00:21:59,280 --> 00:22:02,520 Speaker 1: in the quarter, and that's why the stock is trading down. 375 00:22:02,960 --> 00:22:07,240 Speaker 1: And the expectations is from the CFO of Bank America's 376 00:22:07,480 --> 00:22:10,920 Speaker 1: maybe with a rising yield curve, you know, we can 377 00:22:10,960 --> 00:22:14,560 Speaker 1: bring back a billion dollars of net interest income that's 378 00:22:14,600 --> 00:22:18,200 Speaker 1: not there today. So it's a very different profile than 379 00:22:18,240 --> 00:22:20,320 Speaker 1: a JP Morgan, which is a little bit more like 380 00:22:20,400 --> 00:22:24,000 Speaker 1: an investment bank, or the ones we really liked with 381 00:22:24,119 --> 00:22:29,439 Speaker 1: strong buys, Goldman Sachs and Morgan Stanley. So that's interesting, Ken, 382 00:22:29,480 --> 00:22:31,680 Speaker 1: because yesterday we had Chris Whale and on, chairman of 383 00:22:31,720 --> 00:22:34,159 Speaker 1: Will and Global Advisors, and he was making the argument 384 00:22:34,240 --> 00:22:36,240 Speaker 1: that you know, when you strip out some of the 385 00:22:36,600 --> 00:22:42,040 Speaker 1: reserve reversals UH and some of the capital markets business, 386 00:22:42,080 --> 00:22:44,800 Speaker 1: the underlying banking business, he thinks by YearIn is going 387 00:22:44,840 --> 00:22:47,600 Speaker 1: to be in a world of trouble. Is that too 388 00:22:47,600 --> 00:22:50,600 Speaker 1: bearish from your perspective, it isn't. But most of the 389 00:22:50,640 --> 00:22:54,520 Speaker 1: bank analysts, so I am a bank analyst, but you 390 00:22:54,560 --> 00:22:57,920 Speaker 1: know they're siloed and and they they're just seeing, we're 391 00:22:57,920 --> 00:23:00,320 Speaker 1: going to model out of higher net interesting home this 392 00:23:00,440 --> 00:23:03,840 Speaker 1: year and next year. And you know what's interesting here 393 00:23:03,880 --> 00:23:07,800 Speaker 1: is when you look at traditional commercial banks, JP Morgan 394 00:23:07,920 --> 00:23:10,800 Speaker 1: is the only one that has shown positive growth in 395 00:23:10,840 --> 00:23:14,560 Speaker 1: this category since two thousand and fifteen, not Wills far Ago, 396 00:23:14,720 --> 00:23:18,720 Speaker 1: Knock Bank of America, perhaps not some of the regional banks. 397 00:23:18,800 --> 00:23:24,119 Speaker 1: So it is tough, but the overall environment works two ways. 398 00:23:24,720 --> 00:23:26,880 Speaker 1: We have recovery, but you've got to see that pull 399 00:23:27,000 --> 00:23:30,960 Speaker 1: through into the bank metrics I mentioned. And secondly, the 400 00:23:31,160 --> 00:23:37,520 Speaker 1: risk related to UH credit risk exposure and loan reserves 401 00:23:38,119 --> 00:23:40,360 Speaker 1: is getting better. And that that to me, is more 402 00:23:40,359 --> 00:23:43,879 Speaker 1: of a rear mirror conversation, more in front of us. 403 00:23:43,920 --> 00:23:47,679 Speaker 1: When we were talking about this last year. JP Morgan 404 00:23:47,800 --> 00:23:51,680 Speaker 1: still down off today's seven tenths of percent. It fell 405 00:23:51,840 --> 00:23:54,920 Speaker 1: yesterday one nine percent. It was down on Tuesday one 406 00:23:55,800 --> 00:23:58,719 Speaker 1: down on Monday two tenths of percent. I mean, investors 407 00:23:58,760 --> 00:24:01,520 Speaker 1: this week just don't like the bank um has it 408 00:24:01,600 --> 00:24:05,080 Speaker 1: just run too far, too fast, you know, UH, so 409 00:24:05,119 --> 00:24:07,439 Speaker 1: I've been covering these banks for over ten years and 410 00:24:07,560 --> 00:24:10,800 Speaker 1: I've never seen JP Morgan even when they have a 411 00:24:10,880 --> 00:24:15,159 Speaker 1: blowout quarter UM where the stock goes up. And in 412 00:24:15,200 --> 00:24:17,760 Speaker 1: this case though, they had the window dressing as you've 413 00:24:17,800 --> 00:24:22,640 Speaker 1: mentioned of these loanloest reserves which boost earnings. But overall 414 00:24:22,760 --> 00:24:27,000 Speaker 1: this is best in class UM commercial bank JP Morrigan, 415 00:24:27,359 --> 00:24:31,720 Speaker 1: and they have a bigger exposure to the investment bank UM. 416 00:24:31,760 --> 00:24:34,600 Speaker 1: I would say that, you know, over the long term, 417 00:24:35,040 --> 00:24:38,520 Speaker 1: UH listeners should do JP Morgan as a very attractive 418 00:24:39,320 --> 00:24:43,600 Speaker 1: large cap core holding in their portfolio. So can as 419 00:24:43,640 --> 00:24:46,639 Speaker 1: you're talking to your clients UM during this period, what 420 00:24:46,640 --> 00:24:50,840 Speaker 1: are your top picks that you're pushing that you know 421 00:24:50,920 --> 00:24:55,480 Speaker 1: financials have done so well so for portfolios thinking about sectors, 422 00:24:55,920 --> 00:24:58,480 Speaker 1: and we had black Rock and Swab today as well, 423 00:24:59,040 --> 00:25:03,560 Speaker 1: UH swaps today. These are these are phenomenal world class 424 00:25:03,600 --> 00:25:07,240 Speaker 1: franchises UM. And I think if it gets to being 425 00:25:07,280 --> 00:25:10,959 Speaker 1: a stock picking world, which is what we do to UM, 426 00:25:11,080 --> 00:25:14,120 Speaker 1: I'm going to stay with the capital markets given more 427 00:25:14,119 --> 00:25:18,800 Speaker 1: in a risk on environment and low rate UM. You're 428 00:25:18,800 --> 00:25:21,600 Speaker 1: gonna hear this lad and clear from Morgan Stanley tomorrow 429 00:25:21,920 --> 00:25:25,119 Speaker 1: on great results and Goldman Sachs had a grand slam. 430 00:25:25,119 --> 00:25:27,560 Speaker 1: It wasn't a home run, it was a grand slam. Uh. 431 00:25:27,600 --> 00:25:30,960 Speaker 1: And that's where we are with strong boys. Um to 432 00:25:31,080 --> 00:25:33,760 Speaker 1: the negative point of the other analysts you mentioned, we 433 00:25:33,880 --> 00:25:37,280 Speaker 1: also have a cell recommendation on Wells Fargo. I don't 434 00:25:37,280 --> 00:25:42,280 Speaker 1: think they have uh, the real turn of positive interest 435 00:25:42,440 --> 00:25:46,560 Speaker 1: income generation that they really need and loan activity because 436 00:25:46,560 --> 00:25:50,360 Speaker 1: their franchise was hurt by some of the sales practices 437 00:25:50,440 --> 00:25:53,640 Speaker 1: they had. That's where we are. Hey, Ken, thank you 438 00:25:53,720 --> 00:25:55,520 Speaker 1: so much for joining us. We always appreciate getting your 439 00:25:55,520 --> 00:25:57,200 Speaker 1: thoughts at this time at the quarter when we have 440 00:25:57,240 --> 00:26:00,280 Speaker 1: the big banks putting up their numbers. Ken Leone, Global 441 00:26:00,320 --> 00:26:03,399 Speaker 1: director of Industry and Equity Research at c f r 442 00:26:03,520 --> 00:26:06,480 Speaker 1: A Research has been covering the banks for about a decade. 443 00:26:06,480 --> 00:26:09,520 Speaker 1: And it's interesting MANDI favoring those the big investment banks 444 00:26:09,520 --> 00:26:13,160 Speaker 1: as opposed to perhaps some of the more commercial banks. Um. 445 00:26:13,200 --> 00:26:14,920 Speaker 1: So that seems to be the way that he's looking 446 00:26:14,960 --> 00:26:17,560 Speaker 1: at it right here in Goldman Saxes gets his strong 447 00:26:17,600 --> 00:26:20,159 Speaker 1: by rating. And again, as you pointed out, Matt, the banks, 448 00:26:20,240 --> 00:26:22,760 Speaker 1: you know, maybe priced in to perfection, you know, buy 449 00:26:22,840 --> 00:26:24,760 Speaker 1: on the rumors, selling the news type of thing here 450 00:26:24,800 --> 00:26:28,080 Speaker 1: as they record their numbers. Thanks for listening to the 451 00:26:28,080 --> 00:26:32,040 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 452 00:26:32,040 --> 00:26:36,320 Speaker 1: of Apple Podcasts or whatever podcast platform you prefer. I'm 453 00:26:36,359 --> 00:26:40,800 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller. Put on 454 00:26:40,920 --> 00:26:44,000 Speaker 1: fall Sweeney I'm on Twitter at pt Sweeney Before the podcast. 455 00:26:44,040 --> 00:26:46,520 Speaker 1: You can always catch us worldwide at Bloomberg Radio