1 00:00:02,400 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,960 --> 00:00:15,560 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Tom Keene along 3 00:00:15,600 --> 00:00:18,960 Speaker 2: with Paul Sweeney. Join us each day for insight from 4 00:00:18,960 --> 00:00:23,119 Speaker 2: the best in economics, finance, investment, and international relations. You 5 00:00:23,160 --> 00:00:26,520 Speaker 2: can also watch the show live on YouTube. Visit the 6 00:00:26,520 --> 00:00:31,280 Speaker 2: Bloomberg Podcast channel on YouTube to see the show weekday 7 00:00:31,280 --> 00:00:34,320 Speaker 2: mornings from seven to ten am Eastern from our global 8 00:00:34,360 --> 00:00:39,000 Speaker 2: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 9 00:00:39,360 --> 00:00:42,920 Speaker 2: or anywhere else you listen and always I'm Bloomberg Radio, 10 00:00:43,080 --> 00:00:46,720 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business App. We thought 11 00:00:46,760 --> 00:00:52,519 Speaker 2: we'd start with economics. Sema Shaw is scary good. It 12 00:00:52,560 --> 00:00:55,040 Speaker 2: comes down to London School of Economics or tour of 13 00:00:55,080 --> 00:00:58,640 Speaker 2: duty at the Bank of England with a huge concision 14 00:00:59,400 --> 00:01:02,280 Speaker 2: about what's going on. Seema with principle. Thank you so 15 00:01:02,360 --> 00:01:05,200 Speaker 2: much for joining this morning. Just to cut to the chase, 16 00:01:05,240 --> 00:01:09,520 Speaker 2: Seema to the central banks and particularly the Fed. Do 17 00:01:09,600 --> 00:01:12,720 Speaker 2: they have a cogent plan or are they making it 18 00:01:12,840 --> 00:01:15,640 Speaker 2: up as they go? Hey? 19 00:01:15,760 --> 00:01:17,840 Speaker 3: Tom, that is that is I think such a good question, 20 00:01:17,880 --> 00:01:20,760 Speaker 3: because you know, we read we you know, we pour 21 00:01:20,880 --> 00:01:24,160 Speaker 3: over where the commera is has it moved, what is 22 00:01:24,160 --> 00:01:26,360 Speaker 3: the what is their indication? What are they thinking, how 23 00:01:26,400 --> 00:01:29,200 Speaker 3: they feeling. The truth is is that they are digesting 24 00:01:29,200 --> 00:01:32,080 Speaker 3: the economic data, the incoming stuff, just like we are. 25 00:01:32,440 --> 00:01:34,600 Speaker 3: So I think it's right that they're making up as 26 00:01:34,640 --> 00:01:36,000 Speaker 3: they go along. I mean, of course they have an 27 00:01:36,000 --> 00:01:38,759 Speaker 3: idea that they just have to respond to the data 28 00:01:38,800 --> 00:01:41,120 Speaker 3: because it's just unfolding, and I don't think they have 29 00:01:41,160 --> 00:01:43,960 Speaker 3: a clear idea of working is going to be right. 30 00:01:43,880 --> 00:01:44,720 Speaker 4: In ere England. 31 00:01:44,760 --> 00:01:47,080 Speaker 2: There's been a lot of good research with respect to 32 00:01:47,160 --> 00:01:50,560 Speaker 2: how hard it is to do this business, and that 33 00:01:51,120 --> 00:01:53,800 Speaker 2: as a general statement, the Bank of England and other 34 00:01:53,880 --> 00:01:58,040 Speaker 2: forecasters simply were too pessimistic and that we got wrong 35 00:01:58,440 --> 00:02:00,960 Speaker 2: on a fractional basis. On a tenth of a percentage 36 00:02:00,960 --> 00:02:05,520 Speaker 2: point basis, the growthiness was better than we expected. Do 37 00:02:05,560 --> 00:02:09,400 Speaker 2: you expect that to continue? And that will underestimate growth 38 00:02:09,800 --> 00:02:11,320 Speaker 2: among the three central banks? 39 00:02:13,480 --> 00:02:15,639 Speaker 3: So look, it's possible. I think that, I mean all 40 00:02:15,680 --> 00:02:17,799 Speaker 3: central banks have had actually maybe with the exception of 41 00:02:17,840 --> 00:02:20,120 Speaker 3: the ECB, which seems like it's had a kind of 42 00:02:20,120 --> 00:02:23,720 Speaker 3: a more successful forecast drink ability of the last couple 43 00:02:23,720 --> 00:02:25,960 Speaker 3: of years. But I think it's it should be getting 44 00:02:26,000 --> 00:02:28,200 Speaker 3: a little bit more straightforward, because I think the last 45 00:02:28,240 --> 00:02:30,600 Speaker 3: couple of years have been very difficult for forecasters. And 46 00:02:30,639 --> 00:02:32,680 Speaker 3: I'm going to put myself in there as well, because 47 00:02:32,720 --> 00:02:35,200 Speaker 3: we've been living in you know, typically an list. We 48 00:02:35,240 --> 00:02:37,400 Speaker 3: look at historic data, we use that to give us 49 00:02:37,440 --> 00:02:40,160 Speaker 3: a guide forward. The thing that forecaster has missed in 50 00:02:40,200 --> 00:02:42,160 Speaker 3: the last couple of years is that actually the economy 51 00:02:42,160 --> 00:02:45,440 Speaker 3: has been fundamentally changed by COVID. The normal reaction function, 52 00:02:45,880 --> 00:02:48,760 Speaker 3: interest rates, sensitivity all very very different. And I think 53 00:02:48,800 --> 00:02:51,400 Speaker 3: it's only in the last twelve months or so that 54 00:02:51,639 --> 00:02:54,200 Speaker 3: everyone has started to realize that there is maybe you know, 55 00:02:54,400 --> 00:02:56,560 Speaker 3: doing a comparison to ninety five to two thousand and 56 00:02:56,600 --> 00:02:59,760 Speaker 3: seven just doesn't work as well anymore. But from here 57 00:03:00,040 --> 00:03:04,040 Speaker 3: you're starting to revert kind of normalization should be down 58 00:03:04,080 --> 00:03:06,680 Speaker 3: the line, and that should make forecasting a bit easier. 59 00:03:06,960 --> 00:03:09,000 Speaker 1: So Sama, here in the US, do you think this 60 00:03:09,560 --> 00:03:13,680 Speaker 1: we are in fat today experiencing a soft landing for 61 00:03:13,720 --> 00:03:15,519 Speaker 1: this economy. 62 00:03:16,320 --> 00:03:18,480 Speaker 3: I think we're in the motions of a soft landing 63 00:03:18,800 --> 00:03:21,120 Speaker 3: in the US. So the data is fairly good. Look, 64 00:03:21,120 --> 00:03:23,880 Speaker 3: we're downshifting, which is a positive thing. The last thing 65 00:03:23,880 --> 00:03:26,280 Speaker 3: that we want is actually to see economic data continuing 66 00:03:26,320 --> 00:03:29,760 Speaker 3: to accelerate, because that to me ends up in hard 67 00:03:29,800 --> 00:03:32,360 Speaker 3: landing later down the line. But I think the jury 68 00:03:32,400 --> 00:03:34,639 Speaker 3: is still out. You know, we can't say definitively we've 69 00:03:34,639 --> 00:03:36,320 Speaker 3: got the soft landing, we've achieved it, and we can 70 00:03:36,360 --> 00:03:39,560 Speaker 3: be all victorious. We won't know for sure for a 71 00:03:39,600 --> 00:03:42,200 Speaker 3: couple of months, and I do have worries of how 72 00:03:42,480 --> 00:03:45,000 Speaker 3: the Fed genuinely lands it. I mean, let's say in 73 00:03:45,040 --> 00:03:47,240 Speaker 3: the next few months, they've seen that inflation comes down, 74 00:03:48,080 --> 00:03:50,840 Speaker 3: they cut interest roads, they become they start that path. 75 00:03:51,200 --> 00:03:53,640 Speaker 3: I worry that, actually what's going to happen is that 76 00:03:53,680 --> 00:03:56,120 Speaker 3: if you're a homeowner and you've been waiting on the sidelines, 77 00:03:56,160 --> 00:03:58,280 Speaker 3: eager to move but holding back because mortgage rates are 78 00:03:58,320 --> 00:04:00,560 Speaker 3: so high, you're going to get right back into the market. 79 00:04:00,680 --> 00:04:03,080 Speaker 3: You're going to ease financial conditions, and you're going to 80 00:04:03,080 --> 00:04:05,120 Speaker 3: see the market and the economy taking off. So I 81 00:04:05,160 --> 00:04:07,640 Speaker 3: do worry about, actually, can they do a soft landing? 82 00:04:07,760 --> 00:04:09,520 Speaker 3: Can they achieve it for more than just a three 83 00:04:09,920 --> 00:04:10,840 Speaker 3: to six month period. 84 00:04:11,360 --> 00:04:14,680 Speaker 1: So I guess if you're the Federal Reserve, you saw 85 00:04:14,800 --> 00:04:18,919 Speaker 1: kind of January, February March some inflationary type of data 86 00:04:18,960 --> 00:04:21,080 Speaker 1: come out and then kind of. I guess in April 87 00:04:21,080 --> 00:04:22,640 Speaker 1: reversed a little bit. We got a little bit of 88 00:04:22,800 --> 00:04:25,440 Speaker 1: you know, slowing down of inflation. So if you're the 89 00:04:25,440 --> 00:04:27,800 Speaker 1: Federal Reserve, I guess you can make the argument that 90 00:04:27,839 --> 00:04:30,599 Speaker 1: there's no reason for them to do anything other than wait. 91 00:04:32,120 --> 00:04:34,400 Speaker 3: Exactly. I mean, I think after you've had I mean, 92 00:04:34,440 --> 00:04:36,719 Speaker 3: just basic mass just tells you that if you've had 93 00:04:36,920 --> 00:04:40,679 Speaker 3: three months of an expected inflation data, you at least 94 00:04:40,720 --> 00:04:45,200 Speaker 3: need three months of inline inflation data before you could 95 00:04:45,200 --> 00:04:47,520 Speaker 3: feel any kind of confidence of going back to what 96 00:04:47,560 --> 00:04:52,200 Speaker 3: your initial plan was. But realistically, given the strengthy of 97 00:04:52,200 --> 00:04:54,520 Speaker 3: the inflation data and the continued strength of the economy, 98 00:04:55,000 --> 00:04:57,000 Speaker 3: they probably won a few more months in just three months. 99 00:04:57,279 --> 00:04:58,960 Speaker 3: So and as I said before, I think they aren't 100 00:04:58,960 --> 00:05:01,960 Speaker 3: digesting the economic data to the earnings numbers coming out 101 00:05:01,960 --> 00:05:05,680 Speaker 3: from target certainly very important terms of figuring out where 102 00:05:05,680 --> 00:05:08,360 Speaker 3: the consumer is, because that's obviously going to tie back 103 00:05:08,800 --> 00:05:11,160 Speaker 3: and help them figure out what the next market. 104 00:05:10,920 --> 00:05:13,799 Speaker 2: Is seeman to take the first rate economist ed Yardnny 105 00:05:13,880 --> 00:05:17,159 Speaker 2: over to his market call, which is a bullmarket wrapped 106 00:05:17,160 --> 00:05:21,919 Speaker 2: around his concept of a roaring twenties. To me, roaring twenties, 107 00:05:22,080 --> 00:05:25,719 Speaker 2: either the twentieth century or the twenty first century is 108 00:05:25,760 --> 00:05:29,799 Speaker 2: about a pop in nominal GDP. Do you, at principle 109 00:05:29,960 --> 00:05:34,880 Speaker 2: see a combination of real GDP and inflation that leads 110 00:05:34,920 --> 00:05:38,440 Speaker 2: to an animal spirit that gets to Yard Denny's Roaring twenties. 111 00:05:40,920 --> 00:05:42,400 Speaker 3: So it's an interesting question. I mean, I can see 112 00:05:42,400 --> 00:05:46,280 Speaker 3: normal GDP going up mainly because of AI and tech. 113 00:05:47,880 --> 00:05:50,520 Speaker 3: The Roaring twenties, to me, was about kind of joy 114 00:05:50,560 --> 00:05:53,599 Speaker 3: on the consumer side, just that relief and wanting to 115 00:05:54,720 --> 00:05:56,520 Speaker 3: enjoy life and spend it. And I think we've had 116 00:05:56,520 --> 00:05:58,400 Speaker 3: that for the last couple of years. Whether or not 117 00:05:58,440 --> 00:06:01,520 Speaker 3: that continues, I think is very very different question. And 118 00:06:01,600 --> 00:06:04,040 Speaker 3: inflation is going to play into this so much that 119 00:06:04,160 --> 00:06:06,440 Speaker 3: if you have got her inflation, of course it's based 120 00:06:06,440 --> 00:06:09,600 Speaker 3: in normal GDP. The consumers are already feeding that retrenchment. 121 00:06:09,920 --> 00:06:11,839 Speaker 3: They are struggling with it. I'm not sure that you 122 00:06:11,839 --> 00:06:15,120 Speaker 3: can actually do that initial that direct comparison to the twenties. 123 00:06:15,360 --> 00:06:28,040 Speaker 2: Siema, Thank you so much. Sea Michaw the principal group. Okay, 124 00:06:28,080 --> 00:06:30,240 Speaker 2: I'm gonna tell a story here. He's gonna love this. 125 00:06:30,880 --> 00:06:34,359 Speaker 2: So I'm at Michael's like, this is like fifteen seventeen 126 00:06:34,400 --> 00:06:35,800 Speaker 2: years ago and then you know they're giving me an 127 00:06:35,800 --> 00:06:38,640 Speaker 2: overpriced saler to my third drink. And it's the art 128 00:06:38,640 --> 00:06:40,880 Speaker 2: directors from my book, and they're like, Tom, we have 129 00:06:40,920 --> 00:06:43,240 Speaker 2: to have an inside sleeve one of your charts, one 130 00:06:43,320 --> 00:06:46,760 Speaker 2: hundred and fourteen charts, which chart would be like when 131 00:06:46,800 --> 00:06:48,960 Speaker 2: you open the book, you see it, you know, inside 132 00:06:48,960 --> 00:06:51,440 Speaker 2: the book charter and that, and I make the decision, 133 00:06:51,520 --> 00:06:53,720 Speaker 2: Like over the olive on the martini, I said, it's 134 00:06:53,720 --> 00:06:57,400 Speaker 2: got to be Malpass, mail Passes at bear Stearns. And 135 00:06:57,440 --> 00:06:59,520 Speaker 2: out of all the people in the book, and these 136 00:06:59,520 --> 00:07:02,640 Speaker 2: are a heavy Bill Dudley, the former Fed president, Bob 137 00:07:02,800 --> 00:07:06,400 Speaker 2: the New York Fed President, Malpass had the most amazing chart, 138 00:07:06,880 --> 00:07:10,160 Speaker 2: which was yen in yen and gold like what Dennis 139 00:07:10,200 --> 00:07:12,240 Speaker 2: Gartman did joining us now the former head of the 140 00:07:12,240 --> 00:07:15,800 Speaker 2: World Bank and iconic at bear Stearns, mister David Milpass 141 00:07:15,800 --> 00:07:19,320 Speaker 2: as well. I just looked at yen in you and 142 00:07:19,520 --> 00:07:22,840 Speaker 2: credit to Dennis Gartman as well. It's the call of 143 00:07:22,880 --> 00:07:26,600 Speaker 2: the decade week yen that we saw, whether it's yen 144 00:07:26,640 --> 00:07:30,119 Speaker 2: and gold or yen in whatever. How did Japan turn 145 00:07:30,200 --> 00:07:31,440 Speaker 2: around this train wreck? 146 00:07:32,200 --> 00:07:35,840 Speaker 5: Hi? Tom, you you can stabilize your currency by having 147 00:07:35,920 --> 00:07:39,480 Speaker 5: a good growth plan. So Japan's got to articulate that 148 00:07:40,120 --> 00:07:44,040 Speaker 5: they're not badly positioned in the world since people are 149 00:07:44,040 --> 00:07:47,480 Speaker 5: trying to diversify away from China, and Japan has a 150 00:07:47,520 --> 00:07:50,360 Speaker 5: lot of the things that people want, and so if 151 00:07:50,360 --> 00:07:54,360 Speaker 5: they can retool the economy, it can work. 152 00:07:54,520 --> 00:07:58,680 Speaker 2: It's an experiment of reflation, which is pretty you know, 153 00:07:58,720 --> 00:08:00,920 Speaker 2: you're in Colorado college and it's like, you know, it's 154 00:08:00,920 --> 00:08:04,960 Speaker 2: not even in the textbooks. Okay, it's an experiment in reflation, 155 00:08:05,280 --> 00:08:08,080 Speaker 2: and they want to pull that back. Can they find 156 00:08:08,120 --> 00:08:12,440 Speaker 2: a middle ground that works versus tripping into deflation again? 157 00:08:12,880 --> 00:08:15,480 Speaker 5: They can, but they need to really think about their 158 00:08:15,520 --> 00:08:18,040 Speaker 5: interest rates. You know, they're pushing up against the one 159 00:08:18,080 --> 00:08:23,640 Speaker 5: percent limit on the tier. It really doesn't doesn't work 160 00:08:23,760 --> 00:08:25,840 Speaker 5: to say you're going to limit your bond yield, but 161 00:08:25,920 --> 00:08:29,120 Speaker 5: you want your currency to stop weakening. So right now 162 00:08:29,120 --> 00:08:32,560 Speaker 5: they're intervening to try to tide that over. That can 163 00:08:32,800 --> 00:08:35,160 Speaker 5: work for a little while, but at some point you 164 00:08:35,200 --> 00:08:37,000 Speaker 5: have to say your interest rates are going to be 165 00:08:37,120 --> 00:08:39,880 Speaker 5: more similar to the rest of the world interest rate Paul. 166 00:08:39,640 --> 00:08:42,520 Speaker 2: Wants to jump in one more question and Yen, what 167 00:08:42,880 --> 00:08:44,240 Speaker 2: is your call on Jeopanese? 168 00:08:44,280 --> 00:08:44,439 Speaker 4: Yen? 169 00:08:44,520 --> 00:08:47,040 Speaker 2: I know you're not doing FX and market economists, but 170 00:08:47,320 --> 00:08:50,600 Speaker 2: do you see a big figure strengthening in Japanese yen 171 00:08:51,000 --> 00:08:51,880 Speaker 2: or more of the same. 172 00:08:52,200 --> 00:08:54,160 Speaker 5: I think it could settle where it is now and 173 00:08:54,240 --> 00:08:56,800 Speaker 5: the world would accept that, And that is a little 174 00:08:56,840 --> 00:09:00,920 Speaker 5: bit what is going on the world move through currency 175 00:09:00,960 --> 00:09:04,840 Speaker 5: realignments and then tries to stabilize after that and reduce 176 00:09:04,920 --> 00:09:05,800 Speaker 5: the harm from that. 177 00:09:06,760 --> 00:09:11,280 Speaker 2: He's tanned and rested. I left exactly hand arrested. 178 00:09:11,679 --> 00:09:11,880 Speaker 5: I know. 179 00:09:11,920 --> 00:09:15,000 Speaker 1: I'm very impressed, David. We've seen come bringing it back 180 00:09:15,000 --> 00:09:18,160 Speaker 1: to the US. Here my entire career, we've been talking 181 00:09:18,160 --> 00:09:21,240 Speaker 1: about annual deficits in the national debt, and now we 182 00:09:21,320 --> 00:09:23,839 Speaker 1: even have Jamie Diamond, David Solomon and gold and Sachs 183 00:09:24,440 --> 00:09:26,600 Speaker 1: talking about the national debt. We've even got that silly 184 00:09:26,640 --> 00:09:29,200 Speaker 1: thing downtown where they tally of the national debt on 185 00:09:29,240 --> 00:09:30,600 Speaker 1: a daily basis. 186 00:09:30,320 --> 00:09:32,199 Speaker 2: Of everybody to see is. 187 00:09:32,120 --> 00:09:35,320 Speaker 1: It time to care about that stuff? Like I'm sixty, 188 00:09:35,640 --> 00:09:36,200 Speaker 1: do I care? 189 00:09:36,880 --> 00:09:39,600 Speaker 5: I think absolutely it is time to care. It was 190 00:09:39,679 --> 00:09:42,240 Speaker 5: one thing when the US economy had a fifty percent 191 00:09:42,280 --> 00:09:45,520 Speaker 5: debt to GDP ratio, you could borrow that and not 192 00:09:45,679 --> 00:09:50,760 Speaker 5: really not really at tax the world's capital or or 193 00:09:51,920 --> 00:09:55,280 Speaker 5: take all of the world's capital. We're the biggest economy, 194 00:09:55,559 --> 00:09:59,080 Speaker 5: and we're borrowing so much that it changes capital flows 195 00:09:59,120 --> 00:10:01,360 Speaker 5: around the world, and I think it's doing it in 196 00:10:01,360 --> 00:10:05,120 Speaker 5: a harmful way. It's the government gets the first DIBs 197 00:10:05,160 --> 00:10:07,960 Speaker 5: on all capital, and then if there's any leftover, big 198 00:10:08,000 --> 00:10:11,640 Speaker 5: corporations get it through the bond market. And if there's 199 00:10:11,679 --> 00:10:15,800 Speaker 5: any leftover, which there isn't really, small businesses can borrow 200 00:10:15,880 --> 00:10:20,240 Speaker 5: to fund their inventory, their working capital, and countries outside 201 00:10:20,320 --> 00:10:22,760 Speaker 5: the US have a little bit of capital at the 202 00:10:22,920 --> 00:10:25,680 Speaker 5: end of the line. That's not a workable system for 203 00:10:25,720 --> 00:10:27,800 Speaker 5: the world. So I think there has to be, both 204 00:10:27,880 --> 00:10:30,840 Speaker 5: in the US and in the world, an urgency that 205 00:10:30,920 --> 00:10:33,720 Speaker 5: the US government stopped growing at spending. 206 00:10:33,880 --> 00:10:37,319 Speaker 1: And this is, I guess a political issue, and again 207 00:10:37,440 --> 00:10:40,640 Speaker 1: in my lifetime, i've never seen the political will to 208 00:10:40,720 --> 00:10:43,160 Speaker 1: address it because it doesn't sound very popular. 209 00:10:42,880 --> 00:10:45,360 Speaker 5: That's right, And I think there's a big gap in 210 00:10:45,400 --> 00:10:48,520 Speaker 5: our law. You know, the debt limit law is misnamed. 211 00:10:48,600 --> 00:10:51,680 Speaker 5: It's really the debt increase law. So every couple of 212 00:10:51,760 --> 00:10:56,960 Speaker 5: years presidents both parties sign a law to increase the 213 00:10:57,000 --> 00:11:02,240 Speaker 5: debt limit. We have to replace it with something workable, strong, 214 00:11:02,640 --> 00:11:05,520 Speaker 5: and it has to hurt Washington, not hurt the people 215 00:11:05,559 --> 00:11:08,440 Speaker 5: of the country when we're when we have too much debt, 216 00:11:09,200 --> 00:11:14,560 Speaker 5: they shut the national parks rather than reducing the staff 217 00:11:14,640 --> 00:11:20,040 Speaker 5: hiring in DC. The swamp gets bigger. World Bank and 218 00:11:20,160 --> 00:11:23,400 Speaker 5: it's a swamp. Now it worked in the swamp. What 219 00:11:23,520 --> 00:11:27,320 Speaker 5: you learn working in the swamp? Uh So in this 220 00:11:27,679 --> 00:11:31,640 Speaker 5: so Washington is a swamp. The parts, all the parts 221 00:11:31,720 --> 00:11:36,000 Speaker 5: work together to make Washington bigger and more profitable. That's 222 00:11:36,040 --> 00:11:38,200 Speaker 5: that's a risk. And the World Bank is part of that. 223 00:11:38,320 --> 00:11:43,839 Speaker 5: It's headquartered and uh and centered in Washington. One thing 224 00:11:43,880 --> 00:11:46,280 Speaker 5: I learned Tom was how hard it is to get 225 00:11:46,320 --> 00:11:49,120 Speaker 5: any other country to do the right thing. It's just 226 00:11:49,160 --> 00:11:52,720 Speaker 5: as hard outside the US as in the US. So 227 00:11:52,760 --> 00:11:56,240 Speaker 5: if you take Nigeria, why is this oil rich country 228 00:11:56,360 --> 00:12:00,200 Speaker 5: so poor? They've got a huge, extreme poverty rate. Why 229 00:12:00,240 --> 00:12:03,960 Speaker 5: is that because the government takes the all the profits 230 00:12:04,320 --> 00:12:06,040 Speaker 5: from oil and wastes it. 231 00:12:06,200 --> 00:12:08,400 Speaker 2: This is such a better Mail pass than the World 232 00:12:08,400 --> 00:12:12,320 Speaker 2: Bank and eight people standing around looking at every where. 233 00:12:12,440 --> 00:12:14,960 Speaker 2: David Mail passes public service to the nation in the 234 00:12:14,960 --> 00:12:19,480 Speaker 2: world with the World Bank and involved in politics as well. 235 00:12:23,360 --> 00:12:26,200 Speaker 2: I'm looking here at the intellectual combine over at Schwab 236 00:12:26,880 --> 00:12:30,880 Speaker 2: and I got SMP tech sectors forward price to sales 237 00:12:31,000 --> 00:12:34,120 Speaker 2: ratio pushing up against this all time. I thank you 238 00:12:34,200 --> 00:12:38,160 Speaker 2: Kevin Gordon for that wisdom. Joining us now, Lizzie Saunders 239 00:12:38,320 --> 00:12:42,240 Speaker 2: is a privilege of working with Kevin Gordon. Lizzy, and 240 00:12:42,360 --> 00:12:44,760 Speaker 2: you do the best charts on you and you're in Timmer, 241 00:12:44,880 --> 00:12:48,120 Speaker 2: do the best charts on Twitter today. What's your most 242 00:12:48,120 --> 00:12:51,400 Speaker 2: important chart that you're putting out for Schwab right now? 243 00:12:52,559 --> 00:12:58,280 Speaker 6: Oh boy, that's a good question. There's so many. I 244 00:12:58,280 --> 00:13:02,520 Speaker 6: think it's labor market data. I think it's it's claims, 245 00:13:02,720 --> 00:13:05,800 Speaker 6: continuing claims, what we see in the monthly jobs report. 246 00:13:05,960 --> 00:13:09,560 Speaker 6: I think that's the needle mover in terms of Fed policy. 247 00:13:09,760 --> 00:13:14,520 Speaker 2: Correlating targets earnings this morning and very great disappointment on revenue. 248 00:13:14,920 --> 00:13:20,280 Speaker 2: Can you coordinate that we correlate that, I should say 249 00:13:21,040 --> 00:13:22,120 Speaker 2: with the labor market. 250 00:13:23,240 --> 00:13:28,439 Speaker 6: Well, you know I don't cover individual stocks, including Target, 251 00:13:28,240 --> 00:13:32,400 Speaker 6: but but you know you have the earnings story this 252 00:13:32,520 --> 00:13:35,880 Speaker 6: quarter at the bottom line level has been better than expected, 253 00:13:35,920 --> 00:13:38,440 Speaker 6: the beat rate, the percent by which companies have beaten. 254 00:13:38,760 --> 00:13:41,839 Speaker 6: But you've got overall revenue growth down around in line 255 00:13:41,880 --> 00:13:45,400 Speaker 6: with where inflation is. So it really has exposed the 256 00:13:45,440 --> 00:13:48,320 Speaker 6: companies that actually do have pricing power and don't have 257 00:13:48,400 --> 00:13:52,080 Speaker 6: pricing power. In addition, revenue beat rate has been below average. 258 00:13:52,120 --> 00:13:54,840 Speaker 6: The percent by which companies have beaten on the top 259 00:13:54,920 --> 00:13:58,160 Speaker 6: line has been below average. So I think this is increasingly, 260 00:13:58,880 --> 00:14:02,880 Speaker 6: yet again a sign of this bifurcation happening, whether it's 261 00:14:02,920 --> 00:14:05,839 Speaker 6: between nominal and real, high end consumer and low end 262 00:14:05,880 --> 00:14:11,679 Speaker 6: consumer services versus the good side, discretionary versus non discretionary. 263 00:14:12,360 --> 00:14:15,760 Speaker 6: And I think there's a reason why the consumer discretionary 264 00:14:15,840 --> 00:14:19,200 Speaker 6: sector has been performing poorly is we're now seeing more 265 00:14:19,240 --> 00:14:22,360 Speaker 6: than just cracks in the facade of the consumer. 266 00:14:23,200 --> 00:14:27,119 Speaker 1: So, Lizane, I guess one of the key issues here 267 00:14:27,160 --> 00:14:30,000 Speaker 1: are the earnings that we have seen and again we're 268 00:14:30,040 --> 00:14:32,560 Speaker 1: going to another big one after the close tonight with Nvidia. 269 00:14:32,720 --> 00:14:35,360 Speaker 1: Have they been strong enough to support this big move 270 00:14:35,480 --> 00:14:38,000 Speaker 1: up and equity valuations that we've seen since October. 271 00:14:39,160 --> 00:14:41,920 Speaker 6: Well, you've got about I think the blended growth rate 272 00:14:42,000 --> 00:14:44,800 Speaker 6: right now is eleven percent. That's inclusive of the companies 273 00:14:44,800 --> 00:14:47,000 Speaker 6: that have yet to report, and that is well better 274 00:14:47,040 --> 00:14:51,320 Speaker 6: than what was expected at the beginning of reporting season. 275 00:14:51,560 --> 00:14:55,080 Speaker 6: That's getting there. But I think earnings do need to 276 00:14:55,120 --> 00:14:58,880 Speaker 6: continue to surprise on the upside because last year's strengthen 277 00:14:58,960 --> 00:15:01,800 Speaker 6: the market was almostultiple expansion because you didn't have much 278 00:15:01,840 --> 00:15:04,320 Speaker 6: in the way of earnings growth. So I think the 279 00:15:04,680 --> 00:15:08,000 Speaker 6: earnings do have to play catchup. Obviously, the report out 280 00:15:08,000 --> 00:15:13,520 Speaker 6: today is incredibly important, not just psychologically, which we know 281 00:15:13,600 --> 00:15:16,560 Speaker 6: it's going to be important psychologically, but if you look 282 00:15:16,600 --> 00:15:20,920 Speaker 6: at the overall tech sector, the earnings growth rate drops 283 00:15:20,960 --> 00:15:24,480 Speaker 6: from about twenty four percent or so twenty three twenty 284 00:15:24,480 --> 00:15:28,160 Speaker 6: four percent down to less than eleven excluding what is 285 00:15:28,200 --> 00:15:33,400 Speaker 6: expected for Nvidia, So it is obviously the poster child. 286 00:15:33,520 --> 00:15:36,400 Speaker 6: But that has been the support for the tech sector, 287 00:15:36,480 --> 00:15:39,680 Speaker 6: which is the overall support for a higher valuation level. 288 00:15:39,680 --> 00:15:42,000 Speaker 6: If you look around the world, one of the mistakes 289 00:15:42,000 --> 00:15:45,920 Speaker 6: that investors make is they do valuation comps country to country, 290 00:15:45,960 --> 00:15:48,840 Speaker 6: region or region without taking into consideration what are the 291 00:15:48,920 --> 00:15:51,600 Speaker 6: underlying drivers of the local economy. And when you have 292 00:15:51,640 --> 00:15:55,640 Speaker 6: more of an information tech based economy, that is support 293 00:15:55,680 --> 00:15:59,560 Speaker 6: of all LSEQL of a higher valuation backdrop. The last 294 00:15:59,560 --> 00:16:02,080 Speaker 6: thing I'd say is inflation as a backdrop for valuations 295 00:16:02,120 --> 00:16:05,040 Speaker 6: is important, maybe not coinstantly. The sweet spot in terms 296 00:16:05,040 --> 00:16:08,320 Speaker 6: of historical valuations being supported at a higher level, has 297 00:16:08,360 --> 00:16:10,800 Speaker 6: been in and around that two percent inflation zone. We're 298 00:16:10,840 --> 00:16:13,800 Speaker 6: obviously not there yet, even if we're directionally heading in 299 00:16:13,960 --> 00:16:14,520 Speaker 6: the right way. 300 00:16:15,080 --> 00:16:18,320 Speaker 1: Lizzie, what are some of the sectors that screen well 301 00:16:18,640 --> 00:16:19,960 Speaker 1: for you and your team here? 302 00:16:21,040 --> 00:16:23,880 Speaker 6: Yeah, So we relaunched Schwab sector views at the beginning 303 00:16:23,880 --> 00:16:25,760 Speaker 6: of the year after a two year hiatus for a 304 00:16:25,760 --> 00:16:29,840 Speaker 6: whole variety of reasons, and we haven't had any change 305 00:16:29,920 --> 00:16:32,359 Speaker 6: in terms of the sectors on which we have outperform 306 00:16:32,440 --> 00:16:36,280 Speaker 6: ratings since the beginning of the year. So it's financials, materials, 307 00:16:36,560 --> 00:16:40,880 Speaker 6: and energy. Obviously a very cyclical bias in terms of 308 00:16:41,360 --> 00:16:46,160 Speaker 6: where our outperforms are. The two underperforms are rates, maybe 309 00:16:46,160 --> 00:16:48,400 Speaker 6: no surprise given the problems in commercial real estate, and 310 00:16:48,440 --> 00:16:50,960 Speaker 6: then as we already touched on a consumat discretionary, the 311 00:16:51,040 --> 00:16:52,880 Speaker 6: rest are in that neutral category. 312 00:16:53,360 --> 00:16:55,360 Speaker 2: Is how do you manage a bull market across the 313 00:16:55,440 --> 00:16:59,640 Speaker 2: kitchen table selling main goal away that didn't work out. 314 00:17:00,000 --> 00:17:02,440 Speaker 2: It was a great chart. I don't know if Young 315 00:17:02,480 --> 00:17:05,000 Speaker 2: Gordon added at Schwab, but you know, it's like we're 316 00:17:05,000 --> 00:17:08,200 Speaker 2: getting back to you know, two thousand and six, ownership 317 00:17:08,240 --> 00:17:11,200 Speaker 2: of equities sixty some percent, whatever the number is it's 318 00:17:11,240 --> 00:17:13,240 Speaker 2: really great, We're all in on this market. 319 00:17:13,600 --> 00:17:14,680 Speaker 4: How do you manage the. 320 00:17:14,680 --> 00:17:18,160 Speaker 2: Emotion of a bull market on a kitchen table over a. 321 00:17:18,080 --> 00:17:21,680 Speaker 6: Beverage pall, You know, Tom, that's an interesting question because 322 00:17:22,840 --> 00:17:26,879 Speaker 6: you know, household exposure to equities is a behavioral measure 323 00:17:26,920 --> 00:17:30,480 Speaker 6: of sentiment, for lack of a better word, But you've 324 00:17:30,480 --> 00:17:32,840 Speaker 6: got attitudinal measures of the sentiment. And one of the 325 00:17:32,880 --> 00:17:35,520 Speaker 6: interesting things that has occurred in the last couple of 326 00:17:35,640 --> 00:17:39,280 Speaker 6: years really in this sort of post COVID bear market cycle, 327 00:17:39,600 --> 00:17:42,080 Speaker 6: is that you get much bigger swings in the attitudinal 328 00:17:42,119 --> 00:17:45,200 Speaker 6: measures of sentiment than you do in the behavioral measures. 329 00:17:45,240 --> 00:17:48,480 Speaker 6: So if you look at just AAII American association of 330 00:17:48,520 --> 00:17:51,359 Speaker 6: individual investors, you can see pretty big moves in a 331 00:17:51,440 --> 00:17:54,600 Speaker 6: very short period of time up in percentage of bulls, 332 00:17:54,680 --> 00:17:57,480 Speaker 6: up in percentage of bears depending on the new year 333 00:17:57,560 --> 00:17:59,760 Speaker 6: term wiggles in the market. But you haven't seen much 334 00:17:59,800 --> 00:18:03,800 Speaker 6: more movement in that invested exposure piece of it. So 335 00:18:04,240 --> 00:18:07,439 Speaker 6: I think that there is some complacency out there as 336 00:18:07,520 --> 00:18:11,960 Speaker 6: measured by the behavioral measures, but those attitudinal measures are 337 00:18:12,000 --> 00:18:14,800 Speaker 6: swinging much more quickly in this environment. 338 00:18:14,880 --> 00:18:17,560 Speaker 2: What do you see at Schwab What is cash doing. 339 00:18:18,920 --> 00:18:19,160 Speaker 5: Well. 340 00:18:19,200 --> 00:18:22,359 Speaker 6: I think for a lot of investors, cash is earning income, 341 00:18:22,480 --> 00:18:24,760 Speaker 6: so you've got income and fixed income. Again, That's why 342 00:18:24,800 --> 00:18:27,399 Speaker 6: I push back on this notion that the six trillion 343 00:18:27,440 --> 00:18:30,560 Speaker 6: dollars in money market funds is just sitting there ripe 344 00:18:30,560 --> 00:18:33,320 Speaker 6: to jump into the equity market. I think that's probably 345 00:18:33,359 --> 00:18:36,520 Speaker 6: fairly sticky, and I think it's great comfort, particularly for 346 00:18:36,640 --> 00:18:40,119 Speaker 6: more conservative or older investors that had to stretch for 347 00:18:40,200 --> 00:18:43,120 Speaker 6: yield and move out the risk spectrum, to not have 348 00:18:43,240 --> 00:18:47,760 Speaker 6: to do that. You've got implications for within the equity side, 349 00:18:48,920 --> 00:18:54,680 Speaker 6: especially areas like dividend stocks that will increase in attractiveness 350 00:18:54,680 --> 00:18:57,040 Speaker 6: depending on what yields are doing. But I think a 351 00:18:57,040 --> 00:19:00,399 Speaker 6: lot of that sort of cash money is fairly sticky, 352 00:19:00,440 --> 00:19:02,840 Speaker 6: but is turning a nice shield at this point. 353 00:19:02,880 --> 00:19:06,040 Speaker 2: Lizien, it was great having your assistant Kevin Gordon on, 354 00:19:06,160 --> 00:19:07,239 Speaker 2: but you know he failed in one. 355 00:19:07,320 --> 00:19:10,400 Speaker 6: Oh he's more than that. But yeah, I love that interview, 356 00:19:10,440 --> 00:19:10,880 Speaker 6: well done. 357 00:19:11,280 --> 00:19:13,159 Speaker 2: We were coming out of it and I said to 358 00:19:13,240 --> 00:19:16,440 Speaker 2: him casually, I said, let's play some Nickelback. He didn't 359 00:19:16,480 --> 00:19:17,720 Speaker 2: know who nickelback was. 360 00:19:18,440 --> 00:19:21,080 Speaker 7: The young law did not know who Nickelback was. 361 00:19:21,240 --> 00:19:25,320 Speaker 6: I taught him. Well, he knows who is, so you 362 00:19:25,440 --> 00:19:26,359 Speaker 6: better know that if. 363 00:19:26,240 --> 00:19:29,399 Speaker 2: It was to cash a paycheck. Lizianne Saunders, working with 364 00:19:29,480 --> 00:19:31,680 Speaker 2: the great Kevin Gordon and Schwab, thank you so much. 365 00:19:31,720 --> 00:19:44,560 Speaker 4: I can't say nothing. Joining us now. 366 00:19:44,800 --> 00:19:47,960 Speaker 2: The worst job in Bloomberg. She has to sort through 367 00:19:48,040 --> 00:19:51,399 Speaker 2: the four hundred polls that are coming up before the 368 00:19:51,440 --> 00:19:55,960 Speaker 2: first Tuesday of November. Lord Davis's deputy US Politics team 369 00:19:56,080 --> 00:20:00,800 Speaker 2: lead and poll talent with Bloomberg News. He pulled out 370 00:20:00,920 --> 00:20:04,560 Speaker 2: Laura and my summary of all the different polls is 371 00:20:04,600 --> 00:20:08,080 Speaker 2: the White House is making very clear they don't believe 372 00:20:08,119 --> 00:20:08,720 Speaker 2: the polls. 373 00:20:08,800 --> 00:20:09,680 Speaker 4: Do I have that right? 374 00:20:10,880 --> 00:20:11,080 Speaker 3: Yes. 375 00:20:11,119 --> 00:20:14,320 Speaker 8: Biden has repeatedly said that he thinks that the polls 376 00:20:14,359 --> 00:20:19,600 Speaker 8: are undercutting him and underselling his popularity. You know, of course, 377 00:20:19,640 --> 00:20:21,720 Speaker 8: polls are a snapshot in time, and you know, do 378 00:20:21,800 --> 00:20:23,919 Speaker 8: have a margin in air and our Navy tool that 379 00:20:23,920 --> 00:20:27,359 Speaker 8: can tell us direction. But several polls, including you know, 380 00:20:27,600 --> 00:20:29,960 Speaker 8: the months that we've done this Bloomberg Morning Console poll 381 00:20:30,200 --> 00:20:33,119 Speaker 8: as well as others, have shown that that Trump consistently 382 00:20:33,160 --> 00:20:34,360 Speaker 8: leads him in the United States. 383 00:20:34,600 --> 00:20:39,240 Speaker 2: Is there a history that supports President Biden that the 384 00:20:39,240 --> 00:20:41,560 Speaker 2: Poles get it wrong and he'll do better than good 385 00:20:41,640 --> 00:20:43,040 Speaker 2: the first Tuesday of November. 386 00:20:44,160 --> 00:20:47,000 Speaker 8: So in twenty twenty two in the midterms, there was 387 00:20:47,040 --> 00:20:49,960 Speaker 8: this big red wave projected and that didn't materialize. So 388 00:20:50,000 --> 00:20:52,879 Speaker 8: that is sort of what Biden is basing his you know, 389 00:20:52,960 --> 00:20:55,040 Speaker 8: his his hanging his hat on there of saying, look, 390 00:20:55,080 --> 00:20:57,399 Speaker 8: you know the polls that we were going to lose before, 391 00:20:57,760 --> 00:20:59,639 Speaker 8: and we didn't end up, you know, kind of with 392 00:20:59,720 --> 00:21:02,800 Speaker 8: quite the shri lacking we were expecting. But you know, 393 00:21:02,880 --> 00:21:05,439 Speaker 8: this is uh, you know, a presidential polling is different. 394 00:21:05,440 --> 00:21:07,760 Speaker 8: It is a little bit more precise than you know, 395 00:21:07,800 --> 00:21:09,800 Speaker 8: congressional polling, where you've got you know, a bunch of 396 00:21:09,800 --> 00:21:12,399 Speaker 8: different polls, you know, across you know, hundreds of races. 397 00:21:13,000 --> 00:21:15,440 Speaker 8: But this is a consistent sign and a worrying sign 398 00:21:15,520 --> 00:21:16,760 Speaker 8: for the Biden campaign that he. 399 00:21:17,359 --> 00:21:19,760 Speaker 2: We're going to take a poll right now, Laura, Lisa Matteo, 400 00:21:19,920 --> 00:21:22,760 Speaker 2: jump in here, Lisa Matteo. Have you ever been called 401 00:21:22,760 --> 00:21:26,080 Speaker 2: to do a political poll? Lord Davison, have you ever 402 00:21:26,119 --> 00:21:27,879 Speaker 2: been called to do a political poll? 403 00:21:28,560 --> 00:21:33,359 Speaker 8: Quite frequently actually really okay, because I'm a journalist, but 404 00:21:33,400 --> 00:21:35,639 Speaker 8: I get I get these calls, you know, probably five 405 00:21:35,720 --> 00:21:36,840 Speaker 8: or six times over the past year. 406 00:21:37,000 --> 00:21:42,320 Speaker 7: I've never been called Paul never, thankfully, I don't think 407 00:21:42,320 --> 00:21:44,640 Speaker 7: you ought unless I know who's calling me, so, Laura, 408 00:21:44,760 --> 00:21:46,679 Speaker 7: So on this morning console poll, I know we've been 409 00:21:46,720 --> 00:21:48,280 Speaker 7: doing it on a fairly consistent basis. 410 00:21:48,280 --> 00:21:52,040 Speaker 1: Here, what are the latest highlights from this poll for US? 411 00:21:53,280 --> 00:21:55,119 Speaker 8: So what the show is that this is going to 412 00:21:55,119 --> 00:21:58,600 Speaker 8: be a close race. Biden is performing best in these 413 00:21:58,920 --> 00:22:01,760 Speaker 8: blue wall states, so that you know, Michigan, Wisconsin, Pennsylvania, 414 00:22:02,040 --> 00:22:04,920 Speaker 8: you know, he's roughly tied there with Trump. It's in 415 00:22:05,000 --> 00:22:08,680 Speaker 8: these southern states. Arizona has been one where he's been 416 00:22:08,920 --> 00:22:12,639 Speaker 8: been trailing Trump, Georgia, North Carolina. Nevada has been a 417 00:22:12,640 --> 00:22:15,960 Speaker 8: real wild card. Last month it showed that Biden was down, 418 00:22:16,040 --> 00:22:18,040 Speaker 8: you know, almost ten percentage points. This is a month 419 00:22:18,040 --> 00:22:20,439 Speaker 8: that shows that they're nearly tied. So Nevada will be 420 00:22:20,440 --> 00:22:22,760 Speaker 8: a weird one to watch. It's a very transient state. 421 00:22:22,960 --> 00:22:25,560 Speaker 8: It's one that Democrats has consistently done well in. But 422 00:22:25,680 --> 00:22:27,760 Speaker 8: you know, it's really sort of a who knows this time. 423 00:22:28,320 --> 00:22:30,280 Speaker 1: Well, here's the one that kind of got my attention 424 00:22:30,280 --> 00:22:33,840 Speaker 1: from the Bloomberg reporting, half of swing state voters fear 425 00:22:33,840 --> 00:22:37,840 Speaker 1: of violence around the US election. Give us more on that. 426 00:22:38,880 --> 00:22:41,719 Speaker 8: So this was a you know, a little very much 427 00:22:41,720 --> 00:22:44,360 Speaker 8: a sobering realization here in the poll of that half 428 00:22:44,359 --> 00:22:47,240 Speaker 8: of voters are expecting violence around the election. I think 429 00:22:47,280 --> 00:22:49,320 Speaker 8: we've already seen that, you know, sort of those fears 430 00:22:49,359 --> 00:22:52,640 Speaker 8: be fueled with the campus protest in recent weeks as 431 00:22:52,640 --> 00:22:54,159 Speaker 8: well as you know, sort of all of this the 432 00:22:54,200 --> 00:22:56,560 Speaker 8: specter of nineteen sixty eight that really hangs over the 433 00:22:56,560 --> 00:23:00,119 Speaker 8: Democratic Convention that'll be in Chicago later this summer. So 434 00:23:00,160 --> 00:23:02,440 Speaker 8: this is, you know, clearly something that's on voter's minds. 435 00:23:02,440 --> 00:23:06,120 Speaker 8: Obviously January sixth, last election was not completely free from 436 00:23:06,160 --> 00:23:09,719 Speaker 8: violence there. Also, voters are concerned about misinformation. More than 437 00:23:09,760 --> 00:23:11,600 Speaker 8: half of voters think that there will be misinformation that 438 00:23:11,640 --> 00:23:14,320 Speaker 8: will interfere with the election. Also, foreign interference, that's a 439 00:23:14,320 --> 00:23:17,200 Speaker 8: little bit a smaller percentage worry about that, but that's 440 00:23:17,200 --> 00:23:18,280 Speaker 8: also on the mind of voters. 441 00:23:18,359 --> 00:23:21,440 Speaker 1: What are we hearing or seeing in the polling about 442 00:23:21,800 --> 00:23:25,760 Speaker 1: former President Trump and his trial in New York City? 443 00:23:25,840 --> 00:23:28,320 Speaker 1: Is that having any impact? And then I guess the 444 00:23:28,600 --> 00:23:32,520 Speaker 1: other pending litigation as well, is that impacting the numbers? 445 00:23:33,520 --> 00:23:36,200 Speaker 8: So one thing is that voters are not differentiating between 446 00:23:36,280 --> 00:23:38,359 Speaker 8: the various cases. They're not saying, oh, if one thing's 447 00:23:38,359 --> 00:23:40,600 Speaker 8: happened in the you know, document case, I feel differently 448 00:23:40,680 --> 00:23:41,920 Speaker 8: than if it happens in the you know, the store 449 00:23:41,960 --> 00:23:44,240 Speaker 8: media in a hush money case. They sort of lump 450 00:23:44,280 --> 00:23:47,280 Speaker 8: them all together, but it's clearly on voter's minds. The 451 00:23:47,320 --> 00:23:49,800 Speaker 8: poll allows us to you know, ask these open ended 452 00:23:49,840 --> 00:23:51,760 Speaker 8: questions where voters can just sort of share their thoughts. 453 00:23:52,400 --> 00:23:54,840 Speaker 8: The legal case, you know, is one of the top 454 00:23:54,880 --> 00:23:57,520 Speaker 8: issues that people referenced in these open end questions. Of 455 00:23:57,520 --> 00:23:59,880 Speaker 8: course this was taken you know, as you know, Michael Cohen, 456 00:24:00,000 --> 00:24:02,760 Speaker 8: Stormy Daniels were on the stand, so this was you know, 457 00:24:02,800 --> 00:24:05,320 Speaker 8: clearly top of mind in the news as well. But 458 00:24:05,359 --> 00:24:07,880 Speaker 8: it looks like, you know, we asked a specific question 459 00:24:07,880 --> 00:24:10,399 Speaker 8: a couple of months ago looking at you know, Trump 460 00:24:10,440 --> 00:24:12,360 Speaker 8: is convicted. Does that change your opinion and it did? 461 00:24:12,880 --> 00:24:14,879 Speaker 2: Or is there a history? This is sort of like 462 00:24:14,920 --> 00:24:18,880 Speaker 2: a Wendy Schiller question up at Brown Do the candidates 463 00:24:19,440 --> 00:24:24,560 Speaker 2: poll to figure out who the most efficacious VP candidate is? 464 00:24:25,240 --> 00:24:29,119 Speaker 2: Do they do a lot of work before a given 465 00:24:29,520 --> 00:24:32,440 Speaker 2: presidential candidate says this is the one for VP. 466 00:24:34,080 --> 00:24:37,359 Speaker 8: So a traditional presidential campaign does do a lot of 467 00:24:37,400 --> 00:24:40,240 Speaker 8: work and polling. We also did our own polling here 468 00:24:40,280 --> 00:24:42,840 Speaker 8: on these VP candidates that that Trump is looking at. 469 00:24:43,119 --> 00:24:45,560 Speaker 8: We don't have any indication that the BI that the 470 00:24:45,560 --> 00:24:48,639 Speaker 8: Trump campaign is doing their own polling. You know, Trump 471 00:24:48,640 --> 00:24:50,800 Speaker 8: tends to go more on his gut and you sure 472 00:24:50,840 --> 00:24:53,200 Speaker 8: that these people are going to be loyal to him. 473 00:24:53,920 --> 00:24:55,480 Speaker 8: But what we found is that, you know, a lot 474 00:24:55,480 --> 00:24:57,160 Speaker 8: of the people that he's looking at, people like jd 475 00:24:57,280 --> 00:24:59,680 Speaker 8: Vance is the center from Ohio, Doug Bergham, the governor 476 00:24:59,720 --> 00:25:02,880 Speaker 8: of more Dakota. Nobody knows who they are. It's particularly 477 00:25:02,920 --> 00:25:03,520 Speaker 8: in the swing state. 478 00:25:03,600 --> 00:25:06,800 Speaker 2: So this is going to be Yeah, but young Davison, 479 00:25:07,040 --> 00:25:12,520 Speaker 2: I remember the moment where Bush selected dan Quail Hooy. 480 00:25:13,000 --> 00:25:18,320 Speaker 2: It was across the trading floor. The profanity that came 481 00:25:18,359 --> 00:25:22,679 Speaker 2: out Lord Davison, Dan who no one knew, and it 482 00:25:22,760 --> 00:25:26,399 Speaker 2: was it was not appropriate for radio. I mean, Laura, 483 00:25:26,840 --> 00:25:29,760 Speaker 2: I mean, it's does it really matter anymore? 484 00:25:30,480 --> 00:25:34,040 Speaker 8: The VP candidate like Trump, who has basically one hundred 485 00:25:34,040 --> 00:25:36,200 Speaker 8: percent name id, I'm not sure that that the VP 486 00:25:36,359 --> 00:25:38,720 Speaker 8: candidate is going to sway him one way or you know, 487 00:25:38,720 --> 00:25:40,679 Speaker 8: going to sway voters one way or another. You know, 488 00:25:40,720 --> 00:25:43,080 Speaker 8: Trump has talked about you know, potentially picking a woman, 489 00:25:43,200 --> 00:25:45,360 Speaker 8: picking a person of color that could potentially help him 490 00:25:45,359 --> 00:25:48,080 Speaker 8: with those groups. Oh, though increasingly the chatter is, you know, 491 00:25:48,119 --> 00:25:49,960 Speaker 8: picking someone who can help him raise money. 492 00:25:50,480 --> 00:25:53,160 Speaker 2: Okay, the great brief Lord Davison, thank you so much. 493 00:25:53,200 --> 00:25:55,679 Speaker 2: We make jokes about it, but she's just killing it 494 00:25:55,720 --> 00:26:01,280 Speaker 2: down in Washington in the depths, getting towards this national election. 495 00:26:01,680 --> 00:26:04,920 Speaker 2: This is the Bloomberg Surveillance Podcast, bringing you the best 496 00:26:04,920 --> 00:26:09,640 Speaker 2: in economics, finance, investment, and international relations. You can also 497 00:26:09,760 --> 00:26:13,800 Speaker 2: watch the show live on YouTube. 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