1 00:00:05,240 --> 00:00:07,880 Speaker 1: It's the big take from Bloomberg News and I Heart Radio. 2 00:00:08,200 --> 00:00:14,240 Speaker 1: I'm West Gasova today. One trillion dollars. That's how much 3 00:00:14,280 --> 00:00:26,360 Speaker 1: the biggest US banks made in just the past decade. Yeah, 4 00:00:26,400 --> 00:00:29,680 Speaker 1: you heard that right. And if a trillion dollars sounds 5 00:00:29,720 --> 00:00:32,120 Speaker 1: like a lot, well it definitely caught the eye of 6 00:00:32,200 --> 00:00:36,200 Speaker 1: two of my colleagues here at Bloomberg. Reporters, Max Abelson 7 00:00:36,360 --> 00:00:39,840 Speaker 1: and Hannah Levitt cover the world of Wall Street day 8 00:00:39,880 --> 00:00:43,600 Speaker 1: in and day out, but that enormous some made even 9 00:00:43,680 --> 00:00:46,880 Speaker 1: them wonder how did the banks, which have always been 10 00:00:46,880 --> 00:00:52,479 Speaker 1: profitable suddenly become much much more profitable in such a 11 00:00:52,560 --> 00:00:56,160 Speaker 1: short time. They're here with me now to tell us 12 00:00:56,160 --> 00:01:01,280 Speaker 1: what they found out. Hannah Lovett Sableson, Thanks for being here, 13 00:01:01,440 --> 00:01:03,320 Speaker 1: Thanks for having us, Thanks for having us. So you've 14 00:01:03,360 --> 00:01:06,640 Speaker 1: written this big story in which you discovered that the 15 00:01:06,640 --> 00:01:10,640 Speaker 1: big banks have made a trillion dollars in profit, not revenue, 16 00:01:10,640 --> 00:01:14,640 Speaker 1: but profit in the last decade. And as I was 17 00:01:14,680 --> 00:01:16,320 Speaker 1: thinking about this, I kind of had I was mixed 18 00:01:16,360 --> 00:01:18,760 Speaker 1: feelings because I was like, well, that's surprising, but then 19 00:01:18,840 --> 00:01:21,559 Speaker 1: I sort of thought, well, that's not surprising because they're 20 00:01:21,560 --> 00:01:24,320 Speaker 1: the banks, So what is it about a trillion dollars 21 00:01:24,360 --> 00:01:29,240 Speaker 1: that caught your attention might for one thing, it's an 22 00:01:29,240 --> 00:01:31,440 Speaker 1: extremely big number, so I feel like I have to 23 00:01:31,480 --> 00:01:34,360 Speaker 1: be my true self and tell you how superficial journalists 24 00:01:34,360 --> 00:01:37,840 Speaker 1: are and we love enormous round numbers. You shouldn't be 25 00:01:37,840 --> 00:01:41,080 Speaker 1: surprised because we're living through an era of inequality. We're 26 00:01:41,080 --> 00:01:44,080 Speaker 1: living through an era of corporate profits, for sure. But 27 00:01:44,480 --> 00:01:46,480 Speaker 1: I think you know, even though Hannah and I have 28 00:01:46,600 --> 00:01:49,840 Speaker 1: been covering the big banks for years now, there was 29 00:01:49,840 --> 00:01:52,680 Speaker 1: also an element of our mouths fell open when we 30 00:01:52,760 --> 00:01:56,120 Speaker 1: realized the scale of the profits is one thing, you know, 31 00:01:56,160 --> 00:01:58,360 Speaker 1: it's just such a huge number. But the other thing 32 00:01:58,400 --> 00:02:01,560 Speaker 1: to keep in mind is that this industry has faced 33 00:02:01,800 --> 00:02:04,880 Speaker 1: just one scandal after another, starting with the kind of 34 00:02:05,000 --> 00:02:07,960 Speaker 1: error scandal of the two thousand eight financial crisis. But 35 00:02:08,320 --> 00:02:11,800 Speaker 1: they just find new ways year in and year out 36 00:02:12,080 --> 00:02:14,959 Speaker 1: to make an astonishing amount of profit, even when compared 37 00:02:15,000 --> 00:02:16,359 Speaker 1: with the fact that we're kind of living in it 38 00:02:16,440 --> 00:02:18,720 Speaker 1: in the era of giant tech profit. You know, Wall 39 00:02:18,720 --> 00:02:22,000 Speaker 1: Street is right behind them, and scandals can't stop them. 40 00:02:22,160 --> 00:02:25,880 Speaker 1: It's quite an incredible machine. Hannah max me an interesting 41 00:02:25,919 --> 00:02:28,560 Speaker 1: point which they the banks sort of started out the 42 00:02:28,680 --> 00:02:32,280 Speaker 1: last decade just crawling out of the global financial crisis, 43 00:02:32,520 --> 00:02:36,320 Speaker 1: which obviously kind of shook the foundations of the banking industry, 44 00:02:36,600 --> 00:02:39,440 Speaker 1: and then layered on top of that where all these 45 00:02:39,440 --> 00:02:41,799 Speaker 1: new government regulations that the bank said, we're going to 46 00:02:41,880 --> 00:02:44,640 Speaker 1: crush them and hamper their ability to profit, and yet 47 00:02:44,760 --> 00:02:48,519 Speaker 1: they came back in a big way despite all of that. Yeah. Absolutely, 48 00:02:48,560 --> 00:02:51,480 Speaker 1: And I'll note that Max and I did the story 49 00:02:51,800 --> 00:02:55,679 Speaker 1: when the big six banks hit a hundred billion and 50 00:02:55,800 --> 00:02:59,520 Speaker 1: annual profit that was in the two of us teamed 51 00:02:59,600 --> 00:03:02,040 Speaker 1: up for a story on that. So really, if you 52 00:03:02,080 --> 00:03:04,639 Speaker 1: think about that, that was kind of that first landmark 53 00:03:04,800 --> 00:03:08,839 Speaker 1: right at the end of and now we're already at 54 00:03:08,880 --> 00:03:11,120 Speaker 1: a trillion for a decade. That shows you just, you know, 55 00:03:11,360 --> 00:03:13,560 Speaker 1: how lucrative these past couple of years have been as well. 56 00:03:15,919 --> 00:03:17,560 Speaker 1: That's a really good point. I kind of want to 57 00:03:17,600 --> 00:03:19,560 Speaker 1: dig into that. It's something that stood out in your 58 00:03:19,560 --> 00:03:22,000 Speaker 1: story was there seemed to be this kind of slow 59 00:03:22,480 --> 00:03:25,680 Speaker 1: recovery and then boom, and you write about a couple 60 00:03:25,840 --> 00:03:29,800 Speaker 1: big things that sort of we're like rocket fuel behind 61 00:03:29,840 --> 00:03:32,560 Speaker 1: the banks. One fun thing about writing about Wall Street 62 00:03:32,720 --> 00:03:35,600 Speaker 1: is it you're never really just writing about six big banks. 63 00:03:35,640 --> 00:03:37,360 Speaker 1: I mean even apart from the fact that Wall Street 64 00:03:37,440 --> 00:03:39,760 Speaker 1: includes you know, all sorts of fun stuff like private 65 00:03:39,760 --> 00:03:42,320 Speaker 1: equity giants and hedge fund billionaires. The story of Wall 66 00:03:42,320 --> 00:03:44,240 Speaker 1: Street and the story of Wall Street profits is the 67 00:03:44,280 --> 00:03:48,520 Speaker 1: story of the American government and regulators and politicians. And 68 00:03:48,600 --> 00:03:50,160 Speaker 1: you know, we're not getting around when we say that 69 00:03:50,160 --> 00:03:52,120 Speaker 1: our beat is like the landscape of money and power, 70 00:03:52,120 --> 00:03:55,240 Speaker 1: because it really is power with the capital p Donald 71 00:03:55,280 --> 00:03:59,480 Speaker 1: Trump started campaigning by I mean, essentially making fun of 72 00:03:59,520 --> 00:04:02,400 Speaker 1: the banks, and I think, either implicitly or explicitly kind 73 00:04:02,400 --> 00:04:05,480 Speaker 1: of threatening to break them up instead. Though, when Trump 74 00:04:05,560 --> 00:04:08,840 Speaker 1: took the White House, he put two former Goldman SAX executives, 75 00:04:08,880 --> 00:04:11,840 Speaker 1: Stephen Manuchin and Gary Comb, and he put them in 76 00:04:11,920 --> 00:04:15,640 Speaker 1: charge of an overhaul that transformed taxes in this country, 77 00:04:16,000 --> 00:04:21,000 Speaker 1: especially transformed taxes for corporate giants. And I think Hanna 78 00:04:21,040 --> 00:04:23,479 Speaker 1: and I would be hard pressed to find something as 79 00:04:23,520 --> 00:04:26,640 Speaker 1: powerful as what Trump did to corporate taxes because you 80 00:04:26,640 --> 00:04:29,159 Speaker 1: can see the bank's goe from getting used to paying 81 00:04:29,360 --> 00:04:31,479 Speaker 1: you know, call it three out of ten dollars in taxes, 82 00:04:31,800 --> 00:04:34,240 Speaker 1: now they're paying less than one in five. That's not 83 00:04:34,320 --> 00:04:35,800 Speaker 1: to make it sound like that Wall Street didn't do 84 00:04:35,839 --> 00:04:37,560 Speaker 1: anything of their own volition to make that money. But 85 00:04:37,600 --> 00:04:40,000 Speaker 1: it was a huge, huge moment in this decade. And 86 00:04:40,120 --> 00:04:42,960 Speaker 1: how big are we talking about in natural dollars between 87 00:04:43,080 --> 00:04:46,640 Speaker 1: before the big Trump tax cuts and after? In terms 88 00:04:46,640 --> 00:04:49,960 Speaker 1: of profit? Did that mean for banks? For the banks 89 00:04:50,120 --> 00:04:54,320 Speaker 1: almost doubled the amount of profit that they made. That's 90 00:04:54,360 --> 00:04:57,360 Speaker 1: pre tax cut to post tax cut. Correct. You can 91 00:04:57,360 --> 00:05:00,400 Speaker 1: see just about everything for the banks transform right around 92 00:05:00,400 --> 00:05:03,080 Speaker 1: two thousand eighteen. Look, you know, if Donald Trump were 93 00:05:03,080 --> 00:05:05,040 Speaker 1: in an office and if that tax cut didn't happen 94 00:05:05,080 --> 00:05:06,560 Speaker 1: with the big banks have found a way to make 95 00:05:06,560 --> 00:05:08,320 Speaker 1: a lot of money, I'm sure they would have. But 96 00:05:08,400 --> 00:05:11,479 Speaker 1: you can really see the big banks go from making 97 00:05:11,520 --> 00:05:13,560 Speaker 1: a lot of money in the beginning of our tenure 98 00:05:13,600 --> 00:05:17,680 Speaker 1: period to making a lot of money. We're talking here 99 00:05:17,720 --> 00:05:21,120 Speaker 1: about a total assets, we're talking about the profits. Two 100 00:05:21,120 --> 00:05:23,760 Speaker 1: thousand eighteen isn't the beyond end all, but it's a 101 00:05:23,880 --> 00:05:26,320 Speaker 1: kind of hinge moment where the banks go from lucrative 102 00:05:26,400 --> 00:05:28,680 Speaker 1: to so lucrative that they make this trillion dollars some 103 00:05:28,880 --> 00:05:31,280 Speaker 1: over ten years. So the tax cut was one of 104 00:05:31,320 --> 00:05:34,880 Speaker 1: the big things that helped boost banks profits. What's the 105 00:05:34,920 --> 00:05:39,800 Speaker 1: other one? After the two thousand eighteen tax cuts, we 106 00:05:39,839 --> 00:05:42,000 Speaker 1: had COVID just a couple of years after that, and 107 00:05:42,160 --> 00:05:45,080 Speaker 1: it's hard to remember now, but the chaos and the 108 00:05:45,080 --> 00:05:48,160 Speaker 1: confusion and the desperation of those early months, I think 109 00:05:48,200 --> 00:05:50,880 Speaker 1: for just about everybody in the world had an odd 110 00:05:51,080 --> 00:05:56,400 Speaker 1: parallel state in financial markets where things were actually looking 111 00:05:56,839 --> 00:06:00,400 Speaker 1: pretty good in a way, and the COVID era, thanks 112 00:06:00,520 --> 00:06:05,240 Speaker 1: not only to trading desks either embracing or really really 113 00:06:05,279 --> 00:06:08,920 Speaker 1: relying on volatility to make money, but in addition to that, 114 00:06:09,000 --> 00:06:11,320 Speaker 1: you know, you had central banks around the world buying 115 00:06:11,400 --> 00:06:13,680 Speaker 1: up assets at a scale you know, we've never seen 116 00:06:13,720 --> 00:06:16,359 Speaker 1: in world history, trillions and trillions of dollars of assets 117 00:06:16,360 --> 00:06:19,520 Speaker 1: bought up by central banks. And what that allowed was 118 00:06:19,680 --> 00:06:21,880 Speaker 1: financial markets to breathe a sire of relief. I think 119 00:06:21,920 --> 00:06:25,240 Speaker 1: there would have been real financial and economic mayhem had 120 00:06:25,279 --> 00:06:27,720 Speaker 1: that not happened. And you see a boom, not just 121 00:06:27,880 --> 00:06:30,240 Speaker 1: in two thousand twenty when there could have been a collapse, 122 00:06:30,279 --> 00:06:33,280 Speaker 1: but in two thousand twenty one, when it's paired with 123 00:06:33,320 --> 00:06:35,440 Speaker 1: a kind of a new kind of deal making boom. 124 00:06:35,480 --> 00:06:39,000 Speaker 1: You know, it created a level of profit that overshadowed 125 00:06:39,320 --> 00:06:41,640 Speaker 1: anything Hanna and I looked at two thousand twenty one 126 00:06:41,720 --> 00:06:45,440 Speaker 1: was so profitable for the six banks that if memory serves, 127 00:06:45,480 --> 00:06:48,080 Speaker 1: they made more than they had in two thousand thirteen 128 00:06:48,480 --> 00:06:51,680 Speaker 1: and two thousand fourteen put together. Yeah, I'll just jump 129 00:06:51,720 --> 00:06:53,599 Speaker 1: in there in an interesting way of looking at it, 130 00:06:53,640 --> 00:06:57,680 Speaker 1: although potentially slightly oversimplified, But COVID sets in right in 131 00:06:57,800 --> 00:07:02,560 Speaker 1: March of and there was so much craziness in the 132 00:07:02,560 --> 00:07:06,279 Speaker 1: market at the time and also really bad outlooks as 133 00:07:06,320 --> 00:07:08,039 Speaker 1: far as what was going to happen with you know, 134 00:07:08,080 --> 00:07:11,520 Speaker 1: the labor market and things like that, and so there's 135 00:07:11,520 --> 00:07:15,600 Speaker 1: an immediate boost to volatility, and that means that banks 136 00:07:15,640 --> 00:07:18,440 Speaker 1: are making money on their trading desks, so that happens. 137 00:07:18,800 --> 00:07:22,160 Speaker 1: Then things calmed down a bit, and there's a deal 138 00:07:22,200 --> 00:07:26,760 Speaker 1: making boom, and that's that underwriting, equity underwriting and and 139 00:07:26,880 --> 00:07:31,000 Speaker 1: advising on mergers and acquisitions. And then we get to 140 00:07:31,120 --> 00:07:33,880 Speaker 1: last year and all the money that the banks, not 141 00:07:34,000 --> 00:07:36,440 Speaker 1: all of it, but a good chunk of it that 142 00:07:36,480 --> 00:07:40,480 Speaker 1: the banks had set aside in potentially soured loans when 143 00:07:40,480 --> 00:07:43,880 Speaker 1: things were looking really bad. Those soured loans in large 144 00:07:43,880 --> 00:07:47,760 Speaker 1: parts did not materialize. So then profit was boosted last 145 00:07:47,840 --> 00:07:52,840 Speaker 1: year by bringing those reserves back in, and that flowed 146 00:07:52,840 --> 00:07:54,840 Speaker 1: through to the bottom line. So then you look at 147 00:07:54,880 --> 00:07:58,040 Speaker 1: you know, JP Morgan, the biggest bank, made the most 148 00:07:58,120 --> 00:08:01,320 Speaker 1: money in the history of America in banking last year 149 00:08:02,280 --> 00:08:06,800 Speaker 1: as a result of all of those things you've mentioned 150 00:08:06,800 --> 00:08:09,360 Speaker 1: several times. The Big Six, can you name them for 151 00:08:09,440 --> 00:08:16,560 Speaker 1: me absolutely? JP Morgan, Bank of America, City Group, Wells Fargo, Goldman, Sachs, 152 00:08:16,720 --> 00:08:20,760 Speaker 1: and Morgan Stanley, JP Morgan, Which is the most profitable blank? 153 00:08:20,960 --> 00:08:23,880 Speaker 1: How much more profitable is it than say, the others 154 00:08:23,880 --> 00:08:26,360 Speaker 1: on the list? Is there a big jump down from them? 155 00:08:26,400 --> 00:08:28,160 Speaker 1: You know, it's funny you say that, because at the 156 00:08:28,160 --> 00:08:31,320 Speaker 1: beginning of this era that wasn't true. Wells Fargo was 157 00:08:31,360 --> 00:08:34,240 Speaker 1: the only bank among the six pulling in more than 158 00:08:34,240 --> 00:08:37,720 Speaker 1: twenty billion dollars a year. And lo and behold, they 159 00:08:37,800 --> 00:08:40,800 Speaker 1: hit all these troubles, a lot of themselves inflicted, some 160 00:08:40,880 --> 00:08:43,760 Speaker 1: of themselves inflicted. That's exactly right. I mean, who better 161 00:08:43,800 --> 00:08:45,400 Speaker 1: to tell you than a handle of it, Hannah? What 162 00:08:45,440 --> 00:08:48,400 Speaker 1: was Wells up to? So if you rewind ten years, 163 00:08:48,559 --> 00:08:51,040 Speaker 1: Wells Fargo was at the top of its game. They 164 00:08:51,040 --> 00:08:54,440 Speaker 1: were mortgage giant, and they were really um. At one 165 00:08:54,480 --> 00:08:57,520 Speaker 1: point they were making one out of every three home 166 00:08:57,559 --> 00:09:00,880 Speaker 1: loans in the United States. They were the most profitable, 167 00:09:01,200 --> 00:09:04,400 Speaker 1: they were the most valuable. Warren Buffett was still all 168 00:09:04,440 --> 00:09:07,280 Speaker 1: in on them. So all these things, and then in 169 00:09:07,400 --> 00:09:11,200 Speaker 1: two sen a series of scandals really erupted into the 170 00:09:11,200 --> 00:09:14,640 Speaker 1: public eye. Um, and it was over these fake accounts 171 00:09:14,679 --> 00:09:18,360 Speaker 1: that employees, under pressure to meet sales goals had created 172 00:09:18,559 --> 00:09:22,680 Speaker 1: on behalf of customers without their knowledge or consent. And 173 00:09:22,760 --> 00:09:26,640 Speaker 1: that's what kicked it off. And then from their scandals 174 00:09:26,640 --> 00:09:29,400 Speaker 1: popped up in other business lines as well, in mortgage, 175 00:09:29,400 --> 00:09:33,199 Speaker 1: in auto. Virtually every major business line was impacted by this, 176 00:09:33,559 --> 00:09:36,839 Speaker 1: and they wound up paying massive fines. Oh yeah, there 177 00:09:36,880 --> 00:09:39,360 Speaker 1: was a recent consumer financial protection we are a one. 178 00:09:39,840 --> 00:09:43,439 Speaker 1: It was three point seven billion dollars and one point 179 00:09:43,480 --> 00:09:46,240 Speaker 1: seven billion of that was a fine, and then the 180 00:09:46,280 --> 00:09:50,480 Speaker 1: other two was remediation, so making customers whole. And you know, 181 00:09:50,600 --> 00:09:53,000 Speaker 1: there was a three billion dollar one with the Justice 182 00:09:53,000 --> 00:09:55,920 Speaker 1: Department in the Securities and Exchange Commission. And those are 183 00:09:55,960 --> 00:09:58,880 Speaker 1: not the only ones, but those are the bigger ones. 184 00:09:59,280 --> 00:10:02,560 Speaker 1: So at some point in the last decade, JP Morgan 185 00:10:02,920 --> 00:10:05,480 Speaker 1: took the crown as the biggest by market cap and 186 00:10:05,600 --> 00:10:09,080 Speaker 1: as the most profitable market gap and extremely fancy phrase 187 00:10:09,200 --> 00:10:11,880 Speaker 1: that means market capitalization. That the total value of every 188 00:10:11,880 --> 00:10:15,319 Speaker 1: public company. And what is it that JP Morgan's business 189 00:10:15,360 --> 00:10:18,360 Speaker 1: did that made it leap ahead of the others. Well, 190 00:10:18,400 --> 00:10:20,520 Speaker 1: it's stray gantic for one thing. The size of the 191 00:10:20,559 --> 00:10:22,440 Speaker 1: part of it is that fair, Hannah, Yeah, that's a 192 00:10:22,480 --> 00:10:24,560 Speaker 1: huge part of it. I mean, they bought bear Sterns 193 00:10:24,600 --> 00:10:27,200 Speaker 1: in the crisis. They brought Washington Mutual in the crisis. 194 00:10:27,880 --> 00:10:30,120 Speaker 1: So there you have JP Morgan. Can we round out 195 00:10:30,120 --> 00:10:32,760 Speaker 1: the top three and just talk a little bit about 196 00:10:32,800 --> 00:10:35,400 Speaker 1: what's different about each of these banks and their approach. 197 00:10:35,800 --> 00:10:38,400 Speaker 1: One fun way to think about it is that Wall 198 00:10:38,400 --> 00:10:40,959 Speaker 1: Street makes so much money and has made so much 199 00:10:40,960 --> 00:10:44,200 Speaker 1: money over the last ten years, that very few, I 200 00:10:44,200 --> 00:10:47,120 Speaker 1: mean really a handful of companies make more than JP 201 00:10:47,240 --> 00:10:50,600 Speaker 1: Morgan and Bank of America and even Walls Fargo. Those 202 00:10:50,600 --> 00:10:53,079 Speaker 1: are the three that make the most, but City Group 203 00:10:53,160 --> 00:10:55,960 Speaker 1: and Goldman and Morgan Stanley aren't far behind. I think 204 00:10:56,200 --> 00:10:59,000 Speaker 1: for listeners that might be easiest to think about it 205 00:10:59,280 --> 00:11:01,960 Speaker 1: that Morgan, Stanley and Goldman Sacks are the kind of 206 00:11:02,080 --> 00:11:05,600 Speaker 1: old line classic Wall Street institutions, even though their banks 207 00:11:05,640 --> 00:11:10,040 Speaker 1: technically now JP Morgan, Wells Fargo, Bank of America does 208 00:11:10,200 --> 00:11:13,680 Speaker 1: much more consumer work. Yeah, absolutely so JP Morgan. It's 209 00:11:13,720 --> 00:11:16,040 Speaker 1: the biggest on main Street, and it's the biggest on 210 00:11:16,320 --> 00:11:18,719 Speaker 1: Wall Street as far as trading, you know. And then 211 00:11:18,760 --> 00:11:21,880 Speaker 1: you can look at something like Wells Fargo, which is 212 00:11:22,000 --> 00:11:25,000 Speaker 1: more much more heavily weighted toward the consumer. And then 213 00:11:25,040 --> 00:11:27,720 Speaker 1: you can look at Goldman and Morgan Stanley that are 214 00:11:27,960 --> 00:11:30,400 Speaker 1: very heavily weighted toward investment banking. So if you think 215 00:11:30,400 --> 00:11:33,120 Speaker 1: about you know, JP Morgan is massive in both. And 216 00:11:33,160 --> 00:11:35,520 Speaker 1: then you know, each of those that I just listed 217 00:11:35,520 --> 00:11:38,520 Speaker 1: competes primarily, you know, in the case of Wells on 218 00:11:38,520 --> 00:11:40,480 Speaker 1: the consumer side and in the case of Goldman Morgan 219 00:11:40,520 --> 00:11:43,480 Speaker 1: Stanley on the investment banking and trading side. Anna and 220 00:11:43,520 --> 00:11:47,559 Speaker 1: Max please stick around. We'll continue this conversation after the break. 221 00:11:56,040 --> 00:11:58,360 Speaker 1: So the banks, no matter what approach they took, whether 222 00:11:58,400 --> 00:12:00,760 Speaker 1: they were focused on you know, you're savings comped down 223 00:12:00,800 --> 00:12:02,480 Speaker 1: the street or if they were focused on putting to 224 00:12:02,480 --> 00:12:05,520 Speaker 1: the other big mega deals for corporations, there was a 225 00:12:05,559 --> 00:12:08,080 Speaker 1: lot of money to be made no matter what. But 226 00:12:08,320 --> 00:12:10,920 Speaker 1: don't forget, you know, just how Harriet got there. West. 227 00:12:11,040 --> 00:12:14,080 Speaker 1: I mean, my mind turned to one m dB, the 228 00:12:14,160 --> 00:12:18,320 Speaker 1: famous Malaysian cliptocracy case. The former part minister that was 229 00:12:18,559 --> 00:12:21,160 Speaker 1: sentenced to prison for that. Goldman sax raise billions of 230 00:12:21,160 --> 00:12:23,680 Speaker 1: dollars for that deal that was then stolen by a group. 231 00:12:24,000 --> 00:12:26,880 Speaker 1: We spoke to a former compliance executive Goldman who talked 232 00:12:26,920 --> 00:12:29,280 Speaker 1: about like the immense regret he has for not catching 233 00:12:29,280 --> 00:12:31,400 Speaker 1: it despite the work he and his colleagues put in. 234 00:12:31,840 --> 00:12:34,640 Speaker 1: Then obviously there's Wells Fargo. But you know, when the 235 00:12:34,679 --> 00:12:36,880 Speaker 1: decade started, JP Morgan was kind of in the doghouse. 236 00:12:36,960 --> 00:12:38,840 Speaker 1: Remember the phrase the London Whale. You know, it's kind 237 00:12:38,840 --> 00:12:41,440 Speaker 1: of faded from memory now, but what went down with London, Well, 238 00:12:41,480 --> 00:12:44,920 Speaker 1: what's a good way of describing it. So the London 239 00:12:44,920 --> 00:12:48,000 Speaker 1: Whale was basically a massive trading loss that JP Morgan 240 00:12:48,080 --> 00:12:52,120 Speaker 1: suffered billions of dollars multi billion. First executives kind of 241 00:12:52,160 --> 00:12:55,559 Speaker 1: dismissed it, and then it grew and it grew even larger, 242 00:12:55,679 --> 00:12:58,640 Speaker 1: and Jamie Diamond, the CEO and chairman of JP Morgan, 243 00:12:58,760 --> 00:13:02,480 Speaker 1: was hauled before Congress for a hearing and it was 244 00:13:02,559 --> 00:13:07,920 Speaker 1: really a big deal in post crisis, but still banks 245 00:13:07,960 --> 00:13:11,400 Speaker 1: facing a lot of backlash environment and so that was 246 00:13:11,920 --> 00:13:14,480 Speaker 1: kind of right before the decade that we're looking at here. 247 00:13:14,520 --> 00:13:17,960 Speaker 1: So JP Morgan was fresh off that and uh, as 248 00:13:17,960 --> 00:13:19,800 Speaker 1: we mentioned, Wells Fargo was on top of the world. 249 00:13:20,280 --> 00:13:22,960 Speaker 1: You know. Hearing Hannah talked about London Well reminds me 250 00:13:23,040 --> 00:13:25,320 Speaker 1: that the subject that we're reporting on here, you know, 251 00:13:25,360 --> 00:13:28,120 Speaker 1: the scale of Wall Street profits, it's a fraud subject. 252 00:13:28,280 --> 00:13:30,880 Speaker 1: I think that people who have a memory, you know, 253 00:13:30,920 --> 00:13:33,400 Speaker 1: if not of occupy Wall Street, you know, a memory 254 00:13:33,400 --> 00:13:36,040 Speaker 1: of the two financial crisis, when the banks played a 255 00:13:36,120 --> 00:13:39,360 Speaker 1: role in really threatening the global economic order. And I 256 00:13:39,400 --> 00:13:43,000 Speaker 1: think that maybe some readers might, you know, cheer profits, 257 00:13:43,040 --> 00:13:46,000 Speaker 1: especially if they're shareholders. But I'm sure there are readers 258 00:13:46,040 --> 00:13:49,120 Speaker 1: who think, well, geez, how are the banks making this money? 259 00:13:49,160 --> 00:13:51,200 Speaker 1: What are they risking? And I think there's a sense 260 00:13:51,240 --> 00:13:53,400 Speaker 1: that you can't make this kind of money without a 261 00:13:53,440 --> 00:13:55,000 Speaker 1: lot of risk. And I guess if we had a 262 00:13:55,000 --> 00:13:57,120 Speaker 1: Wall Street executive here with us, they might point out 263 00:13:57,160 --> 00:14:00,640 Speaker 1: that this was a pretty good decade from to public 264 00:14:00,679 --> 00:14:02,640 Speaker 1: safety and soundness. You know, we're living through a kind 265 00:14:02,640 --> 00:14:05,600 Speaker 1: of crazy financial hiccup right now, the collapse of crypto, 266 00:14:05,679 --> 00:14:07,559 Speaker 1: but that's, you know, that is not a threat to 267 00:14:07,600 --> 00:14:11,160 Speaker 1: the big banks. It's gruesome, it's grotesque, but it's we've 268 00:14:11,200 --> 00:14:14,400 Speaker 1: seen crypto firms fail, but you know, not the big banks. 269 00:14:14,440 --> 00:14:16,640 Speaker 1: So I just want to point out that, you know, 270 00:14:16,679 --> 00:14:18,199 Speaker 1: you don't have to be a defender of Wall Street 271 00:14:18,200 --> 00:14:21,440 Speaker 1: t acknowledge that this decade was pretty good for the 272 00:14:21,520 --> 00:14:23,720 Speaker 1: general banking system. I don't just me and the bankers 273 00:14:23,720 --> 00:14:26,280 Speaker 1: who got to make money, or even the shareholders who 274 00:14:26,360 --> 00:14:29,320 Speaker 1: got to enjoy some of the profits. Nothing went quite 275 00:14:29,320 --> 00:14:32,000 Speaker 1: so wrong in the last decade, unless, of course, you 276 00:14:32,000 --> 00:14:34,360 Speaker 1: want to count you know, the Wells Fargo retail scandal 277 00:14:34,400 --> 00:14:39,480 Speaker 1: and lots of other things too. So we've heard about 278 00:14:39,480 --> 00:14:42,880 Speaker 1: how the banks made a lot of money in the 279 00:14:42,960 --> 00:14:47,080 Speaker 1: last decade, But who benefited from all that profit? Who 280 00:14:47,120 --> 00:14:50,000 Speaker 1: are the ones who? In classic Wall Street fashion, who 281 00:14:50,000 --> 00:14:52,480 Speaker 1: are the winners and who are the losers? The obvious 282 00:14:52,520 --> 00:14:55,080 Speaker 1: answer that jumps to mind is that the bankers benefited 283 00:14:55,120 --> 00:14:57,160 Speaker 1: from the banks making this amount of money. You know, 284 00:14:57,720 --> 00:14:59,920 Speaker 1: this is not a world where, you know, you get 285 00:15:00,120 --> 00:15:03,520 Speaker 1: to be one of the very very richest people on earth. Um, 286 00:15:03,560 --> 00:15:05,640 Speaker 1: But it does meant a couple of billionaires like JP 287 00:15:05,760 --> 00:15:09,120 Speaker 1: Morgan's head Jamie Divan and former Golden Sex bus BOYD 288 00:15:09,160 --> 00:15:11,240 Speaker 1: Blank find but you know, buy and large. What we're 289 00:15:11,240 --> 00:15:14,440 Speaker 1: talking about here are bankers making um sometimes millions and 290 00:15:14,480 --> 00:15:17,160 Speaker 1: millions of dollars thanks to Wall Street's good times. But 291 00:15:17,400 --> 00:15:21,280 Speaker 1: speaking of a kind of larger group, bank shareholders benefited 292 00:15:21,440 --> 00:15:24,320 Speaker 1: an era of profit for any kind of public company 293 00:15:24,400 --> 00:15:27,920 Speaker 1: benefits you know, in most cases public shareholders. And you know, 294 00:15:28,000 --> 00:15:29,800 Speaker 1: I think that that, on the one hand, that means 295 00:15:29,800 --> 00:15:32,240 Speaker 1: a slightly bigger group if we're comparing it to the 296 00:15:32,360 --> 00:15:35,160 Speaker 1: narrow range of bankers. But I think it's also important 297 00:15:35,200 --> 00:15:37,480 Speaker 1: to point out that, you know, not everyone in this 298 00:15:37,520 --> 00:15:40,760 Speaker 1: country owns stock, and that in order to gain from 299 00:15:40,800 --> 00:15:42,960 Speaker 1: the growth of corporate profit, you know, you have to 300 00:15:43,000 --> 00:15:45,200 Speaker 1: have enough money to have savings and don't shares in 301 00:15:45,240 --> 00:15:47,280 Speaker 1: the first place. So you could think of this as 302 00:15:47,640 --> 00:15:51,360 Speaker 1: part of the much broader story of widening inequality in 303 00:15:51,400 --> 00:15:56,360 Speaker 1: the country and around the world. Ironically, when we talk 304 00:15:56,440 --> 00:15:58,800 Speaker 1: about making money on Wall Street and when we talk 305 00:15:58,840 --> 00:16:00,960 Speaker 1: about you know, even in a quality in Wall Street, 306 00:16:01,840 --> 00:16:04,440 Speaker 1: we're not really talking about the world's biggest winners. You know, 307 00:16:04,600 --> 00:16:07,240 Speaker 1: I've been kind of it's it's like, I don't know, 308 00:16:07,280 --> 00:16:09,960 Speaker 1: a combination of shocking and humbling over the years as 309 00:16:10,000 --> 00:16:12,240 Speaker 1: a finance reporter to realize that, you know, you speak 310 00:16:12,280 --> 00:16:15,440 Speaker 1: to these people that you know, they're their paychecks dwarf 311 00:16:15,560 --> 00:16:17,920 Speaker 1: hours and you know, they to all the world they 312 00:16:17,960 --> 00:16:20,680 Speaker 1: look like true winners, um, the winners of kind of 313 00:16:20,720 --> 00:16:24,160 Speaker 1: the game of capitalism. But they themselves compare their checks 314 00:16:24,200 --> 00:16:26,440 Speaker 1: two bigger ones than their and the the story of 315 00:16:26,440 --> 00:16:29,600 Speaker 1: inequality in America is really lots of stories of different 316 00:16:29,640 --> 00:16:33,040 Speaker 1: kinds of inequality. One of the kinds of inequality is 317 00:16:33,120 --> 00:16:39,000 Speaker 1: that the really rich people have gotten much richer than 318 00:16:39,320 --> 00:16:42,400 Speaker 1: the merely rich. And you know, I can't tell you 319 00:16:42,440 --> 00:16:45,120 Speaker 1: how often I've heard from wealthy people on Wall Street 320 00:16:45,400 --> 00:16:47,880 Speaker 1: kind of feeling sorry for themselves because they're missing out 321 00:16:48,120 --> 00:16:50,320 Speaker 1: on you know, I don't know, the crypto boom, or 322 00:16:50,360 --> 00:16:54,520 Speaker 1: because tech executives are making more, or because private equity. 323 00:16:54,560 --> 00:16:57,440 Speaker 1: You know, billionaires are worth a hundred times more than 324 00:16:57,480 --> 00:17:00,280 Speaker 1: they are. We're talking about wealth and we're talking about eat. 325 00:17:00,400 --> 00:17:02,560 Speaker 1: But I think it's helpful to point out that Wall 326 00:17:02,600 --> 00:17:05,560 Speaker 1: Street is not the richest in fact, compared to Apple, 327 00:17:05,880 --> 00:17:08,800 Speaker 1: Apple alone, you know, Wall Street is a snooze fest. 328 00:17:09,000 --> 00:17:11,480 Speaker 1: I want to say, Apple made I think, more than 329 00:17:11,520 --> 00:17:15,720 Speaker 1: half a trillion dollars by itself over this decade. When 330 00:17:15,800 --> 00:17:17,639 Speaker 1: you know, in order to reach Trillian, we combine these 331 00:17:17,680 --> 00:17:20,120 Speaker 1: six banks, you know, the banks that are smaller than 332 00:17:20,160 --> 00:17:23,800 Speaker 1: these mega banks that have gotten even larger over the 333 00:17:23,800 --> 00:17:26,480 Speaker 1: past decade, right, and they have more money to use 334 00:17:26,600 --> 00:17:31,200 Speaker 1: to bolster their offerings and compete in ways that these 335 00:17:31,240 --> 00:17:34,760 Speaker 1: smaller banks can't because they're smaller and they make less money. 336 00:17:35,040 --> 00:17:38,359 Speaker 1: And so when you look at the consolidation that's happened, 337 00:17:38,359 --> 00:17:40,760 Speaker 1: you know, even if you go a level down from 338 00:17:40,800 --> 00:17:43,000 Speaker 1: these giant banks that we're talking about that are the 339 00:17:43,040 --> 00:17:45,840 Speaker 1: focus of our story, there's been a lot of consolidation 340 00:17:45,920 --> 00:17:49,200 Speaker 1: even among the biggest regional banks. So I can think 341 00:17:49,240 --> 00:17:51,919 Speaker 1: of you know, bb and T and SunTrust emerging to 342 00:17:52,040 --> 00:17:56,080 Speaker 1: create Truest a few years ago, and the justification are 343 00:17:56,160 --> 00:17:59,000 Speaker 1: part of the justification there, and with a lot of 344 00:17:59,040 --> 00:18:02,520 Speaker 1: these tie ups is that it better enables them to 345 00:18:02,600 --> 00:18:08,080 Speaker 1: spend more to compete. Hasn't been just good for Americans 346 00:18:08,080 --> 00:18:09,960 Speaker 1: that banks are making that much money? I think it 347 00:18:10,040 --> 00:18:11,919 Speaker 1: might be too hard for hand or to give you 348 00:18:12,000 --> 00:18:15,040 Speaker 1: this really satisfyingly simple answer like yeah, it's been awesome 349 00:18:15,040 --> 00:18:17,880 Speaker 1: for America, or no, it's terrible for America that Wall 350 00:18:17,880 --> 00:18:19,840 Speaker 1: Streets doing so well. I think that you know, you 351 00:18:19,880 --> 00:18:22,520 Speaker 1: can have an optimistic view that to be on Wall 352 00:18:22,560 --> 00:18:26,360 Speaker 1: Street is to allocy capital efficiently and it's to help businesses, 353 00:18:26,400 --> 00:18:28,800 Speaker 1: and it's to help people, and that means helping Americans. 354 00:18:28,880 --> 00:18:30,679 Speaker 1: But you can also be a little more cynical. And 355 00:18:30,680 --> 00:18:33,480 Speaker 1: I'm referring here not just outsiders and critics, but you know, 356 00:18:33,520 --> 00:18:36,400 Speaker 1: I've talked to people who rose pretty high on Wall 357 00:18:36,400 --> 00:18:39,399 Speaker 1: Street who leave with, you know, maybe a sense that 358 00:18:39,440 --> 00:18:42,080 Speaker 1: what goes on it's not evil, but you know that 359 00:18:42,200 --> 00:18:44,720 Speaker 1: it doesn't have the kind of meaning that they were 360 00:18:44,840 --> 00:18:47,760 Speaker 1: searching for. I'm thinking here of Wall Street veteran who's 361 00:18:47,760 --> 00:18:50,000 Speaker 1: telling me kind of just the other day that you know, 362 00:18:50,040 --> 00:18:53,240 Speaker 1: he has a sense that trading, especially derivatives back and forth, 363 00:18:53,359 --> 00:18:55,560 Speaker 1: that amounts to very little at the end of the day. 364 00:18:55,600 --> 00:18:58,960 Speaker 1: But you know, if one of his former trading colleagues 365 00:18:59,119 --> 00:19:01,280 Speaker 1: heard him say that, he would have pointed out that 366 00:19:01,440 --> 00:19:03,840 Speaker 1: it's what makes the world go around. And you know, 367 00:19:03,880 --> 00:19:06,639 Speaker 1: if finance weren't doing it, it would be a big problem. 368 00:19:06,680 --> 00:19:08,840 Speaker 1: I think a little bit of cynicism and a little 369 00:19:08,840 --> 00:19:11,159 Speaker 1: bit of optimism about the meaning of these businesses is 370 00:19:11,359 --> 00:19:14,120 Speaker 1: probably a healthy combination. Yeah, I'll just jump in there 371 00:19:14,160 --> 00:19:16,920 Speaker 1: to say that, you know, if you subscribe to the 372 00:19:17,000 --> 00:19:19,560 Speaker 1: argument that all this money that these big banks are 373 00:19:19,600 --> 00:19:24,840 Speaker 1: making is the effect of healthy economy over the past decade. 374 00:19:25,359 --> 00:19:28,760 Speaker 1: Then you could argue that it's a good thing. But 375 00:19:29,119 --> 00:19:31,879 Speaker 1: if you subscribe to the argument that banks shouldn't be 376 00:19:31,960 --> 00:19:34,159 Speaker 1: this big, banks shouldn't be too big to fail, if 377 00:19:34,200 --> 00:19:36,679 Speaker 1: you will, then it wouldn't necessarily be a good things. 378 00:19:36,720 --> 00:19:39,359 Speaker 1: So yeah, I mean, to Max's point, I think I 379 00:19:39,400 --> 00:19:42,880 Speaker 1: would defer to an actual philosopher on that. But there 380 00:19:42,880 --> 00:19:45,359 Speaker 1: are interesting ways of looking at it. Although let me 381 00:19:45,400 --> 00:19:48,240 Speaker 1: note read our story because we did interview a philosopher, 382 00:19:48,640 --> 00:19:51,040 Speaker 1: an ethicist who used to be a partner Woman's X 383 00:19:51,160 --> 00:19:54,359 Speaker 1: but believe the ethics and philosophy to him. Though. We'll 384 00:19:54,359 --> 00:20:05,600 Speaker 1: be right back, and we're talking about the spectacular profits 385 00:20:05,600 --> 00:20:08,679 Speaker 1: of banks. As Max, you know, mentioned, they aren't the 386 00:20:08,800 --> 00:20:14,960 Speaker 1: biggest earners tech sector and other really big corporations they 387 00:20:15,000 --> 00:20:19,000 Speaker 1: made even more so, where does the banking industry kind 388 00:20:19,000 --> 00:20:22,760 Speaker 1: of sit in the pantheon of incredible profits? You know, 389 00:20:22,920 --> 00:20:26,000 Speaker 1: that's a great question and one that I think has 390 00:20:26,080 --> 00:20:31,720 Speaker 1: the potential to really bounce around in the coming years, 391 00:20:31,840 --> 00:20:34,360 Speaker 1: right because you look at you know, all that's happening 392 00:20:34,359 --> 00:20:36,760 Speaker 1: with the economy right now, with the federal reserves rate 393 00:20:36,840 --> 00:20:41,199 Speaker 1: hikes and persistent inflation and also the decline of a 394 00:20:41,240 --> 00:20:43,760 Speaker 1: lot of tech stocks and things like that. So there 395 00:20:43,760 --> 00:20:47,119 Speaker 1: are multiple drivers that I think will determine the ultimate 396 00:20:47,119 --> 00:20:50,880 Speaker 1: answer to that question. And also things like the banks 397 00:20:51,160 --> 00:20:54,719 Speaker 1: are looking like they're in pretty good shape regardless of 398 00:20:55,359 --> 00:20:59,480 Speaker 1: you know, any economic circumstances that might be coming our way. 399 00:20:59,680 --> 00:21:02,920 Speaker 1: But time will tell as far as testing that. So 400 00:21:03,000 --> 00:21:04,920 Speaker 1: I think that that remains to be seen. If the 401 00:21:04,920 --> 00:21:08,000 Speaker 1: banks keep making this unhanded amount of money, will have 402 00:21:08,119 --> 00:21:10,639 Speaker 1: a lot of fun next year. But if things sour 403 00:21:10,920 --> 00:21:12,919 Speaker 1: and they start struggling, I mean, it will be interesting 404 00:21:12,960 --> 00:21:15,400 Speaker 1: for us in its own way. But if you want 405 00:21:15,400 --> 00:21:19,440 Speaker 1: to trust analysts, you know they're they're just gonna keep 406 00:21:19,440 --> 00:21:22,320 Speaker 1: on making more money and let's think can be bigger 407 00:21:22,320 --> 00:21:27,280 Speaker 1: than last year. And why do they say that? One 408 00:21:27,440 --> 00:21:31,280 Speaker 1: key reason there is that when the federal reserves interest 409 00:21:31,359 --> 00:21:35,720 Speaker 1: rates go up, the banks make more money in something 410 00:21:35,760 --> 00:21:39,280 Speaker 1: called net interest income, which is the amount that they 411 00:21:39,320 --> 00:21:42,080 Speaker 1: are earning on the loans they made, so the interest 412 00:21:42,160 --> 00:21:45,480 Speaker 1: that people are paying them on loans minus the interest 413 00:21:45,520 --> 00:21:48,000 Speaker 1: that they're paying out on deposits. So we've already seen 414 00:21:48,080 --> 00:21:50,639 Speaker 1: some of that. In the third quarter, JP Morgan had 415 00:21:50,640 --> 00:21:54,760 Speaker 1: its highest quarterly net interest income ever, and rates have 416 00:21:54,840 --> 00:21:57,280 Speaker 1: continued to go up are expected to continue to go up, 417 00:21:57,800 --> 00:21:59,840 Speaker 1: so we'll see some more of that. That will be 418 00:21:59,840 --> 00:22:02,960 Speaker 1: a driver there, you know, coming out of COVID and 419 00:22:03,000 --> 00:22:06,840 Speaker 1: the really high volatility there that boosted trading desks. There 420 00:22:06,920 --> 00:22:11,240 Speaker 1: was executives and analysts and pretty much anyone you asked 421 00:22:11,240 --> 00:22:13,840 Speaker 1: was saying, Oh, at some point this will normalize. And 422 00:22:13,840 --> 00:22:16,800 Speaker 1: what does normalize mean. It means it'll go down to levels. 423 00:22:16,800 --> 00:22:19,560 Speaker 1: You know, if it normalizes to levels or something like that, 424 00:22:19,600 --> 00:22:22,159 Speaker 1: then it goes back down to near the level of 425 00:22:23,880 --> 00:22:27,080 Speaker 1: But then people were saying that was gonna happen this year, 426 00:22:27,119 --> 00:22:31,359 Speaker 1: and then Russia invaded Ukraine and so there was a 427 00:22:31,400 --> 00:22:33,920 Speaker 1: lot of volatility around that, and the banks have made 428 00:22:33,920 --> 00:22:37,040 Speaker 1: a ton of money on their training desks this year. 429 00:22:37,160 --> 00:22:41,000 Speaker 1: So if when there's a quote unquote normalization remains to 430 00:22:41,040 --> 00:22:45,240 Speaker 1: be seen, but it certainly hasn't been this year. And 431 00:22:45,280 --> 00:22:46,840 Speaker 1: I guess that's a good point when you talk about 432 00:22:46,880 --> 00:22:49,520 Speaker 1: the difference between the banking industry and say the tech industry, 433 00:22:49,520 --> 00:22:52,920 Speaker 1: where when things are volatile, things are jumping, that presents 434 00:22:52,960 --> 00:22:58,560 Speaker 1: opportunities to buy and to earn on the volatility for 435 00:22:58,560 --> 00:23:00,960 Speaker 1: the banks, whereas if things are voll over for the 436 00:23:00,960 --> 00:23:04,720 Speaker 1: tech companies. You see, they are getting hit pretty hard 437 00:23:04,960 --> 00:23:07,520 Speaker 1: and so they're certainly looking a lot worse at the 438 00:23:07,600 --> 00:23:09,040 Speaker 1: end of this year. But the banks are looking to 439 00:23:09,040 --> 00:23:11,240 Speaker 1: just spine. Yeah, that's a good points. Maybe this is 440 00:23:11,240 --> 00:23:12,760 Speaker 1: true of all journalists. But I feel like I'm an 441 00:23:12,760 --> 00:23:14,960 Speaker 1: anxious person when things are getting crazy. I get a 442 00:23:14,960 --> 00:23:16,760 Speaker 1: little scared when I die. I want to come back 443 00:23:16,800 --> 00:23:19,359 Speaker 1: this Wall Street. You know where volatility is. You know 444 00:23:19,480 --> 00:23:21,680 Speaker 1: something to be embraced. It's lucrative. It's a fine to 445 00:23:21,680 --> 00:23:25,760 Speaker 1: be afraid of. And I Lovett. Max Tabelson, thanks so 446 00:23:25,840 --> 00:23:29,440 Speaker 1: much for talking to me today. Thank you, Thank you. 447 00:23:29,440 --> 00:23:32,840 Speaker 1: You can read Hannah and Max's story about Wall Streets 448 00:23:32,960 --> 00:23:37,760 Speaker 1: runaway profits at Bloomberg dot com. Thanks for listening to 449 00:23:37,840 --> 00:23:40,040 Speaker 1: us here at The Big Take, the daily podcast from 450 00:23:40,040 --> 00:23:42,720 Speaker 1: Bloomberg and I Heart Radio. For more shows from my 451 00:23:42,760 --> 00:23:46,119 Speaker 1: Heart Radio, visit the I Heart Radio app, Apple Podcasts, 452 00:23:46,200 --> 00:23:50,080 Speaker 1: or wherever you listen. Read today's story and subscribe to 453 00:23:50,119 --> 00:23:53,360 Speaker 1: our daily newsletter at Bloomberg dot com slash Big Take, 454 00:23:53,800 --> 00:23:56,119 Speaker 1: and we'd love to hear from you. Email us with 455 00:23:56,200 --> 00:23:59,360 Speaker 1: questions or comments to Big Take at Bloomberg dot net. 456 00:24:00,320 --> 00:24:03,879 Speaker 1: The supervising producer of the Big Take is Vicky Viergolina. 457 00:24:04,560 --> 00:24:10,800 Speaker 1: Our senior producer is Katherine Fink. Our producer is rebekahs An. 458 00:24:10,840 --> 00:24:17,959 Speaker 1: Associate producer is Sam Debauer is our engineer. Original music 459 00:24:18,119 --> 00:24:21,960 Speaker 1: by Leo Sidrin. I'm West Kasova. We'll be back tomorrow 460 00:24:22,119 --> 00:24:23,080 Speaker 1: with another Big Take.