1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business App. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,040 Speaker 1: us live on YouTube. 6 00:00:27,400 --> 00:00:31,640 Speaker 2: Michael Green joins you strategists, simplify asset manager. Mike, let's 7 00:00:31,640 --> 00:00:35,360 Speaker 2: start with you first principles. Why is the vixit twenty 8 00:00:35,440 --> 00:00:37,000 Speaker 2: one in a bull market? 9 00:00:37,720 --> 00:00:39,959 Speaker 3: Well, I mean, the simple answer is that we've been 10 00:00:40,000 --> 00:00:44,159 Speaker 3: realizing relatively high volatility, particularly amongst the megacap names, and 11 00:00:44,240 --> 00:00:47,560 Speaker 3: that is affecting the composition of the index. The other 12 00:00:47,600 --> 00:00:50,720 Speaker 3: thing is the vixit highs or VIC moving higher in 13 00:00:50,760 --> 00:00:53,519 Speaker 3: the face of the equity markets moving higher. Part of 14 00:00:53,560 --> 00:00:56,320 Speaker 3: that is simply a mechanical process, the reflection news strikes 15 00:00:56,360 --> 00:00:58,960 Speaker 3: being brought in, and so the width of the variant 16 00:00:59,000 --> 00:01:02,720 Speaker 3: swap actually in increases that mechanically can push it up. 17 00:01:02,720 --> 00:01:04,240 Speaker 3: About a third of the time when you're making new 18 00:01:04,240 --> 00:01:06,399 Speaker 3: all time highs, you're pushing higher on the vix So. 19 00:01:06,319 --> 00:01:09,320 Speaker 2: Do you assume that it will dampen it down and 20 00:01:09,400 --> 00:01:12,440 Speaker 2: come in under nineteen under seventeen at some point. 21 00:01:12,840 --> 00:01:17,319 Speaker 3: Yeah, that would be my core expectation. Unless exogenous events occur. 22 00:01:17,480 --> 00:01:20,440 Speaker 3: The VIX has spiked significantly, It was very primed for 23 00:01:20,480 --> 00:01:23,760 Speaker 3: that sensitivity. What we call the implied correlation, which is 24 00:01:23,800 --> 00:01:27,399 Speaker 3: the relationship of the index to those individual stocks, had 25 00:01:27,440 --> 00:01:30,200 Speaker 3: pressed it down to very very low levels. Most of 26 00:01:30,240 --> 00:01:33,360 Speaker 3: what we've seen in this pop has actually been that phenomenon. 27 00:01:33,600 --> 00:01:36,560 Speaker 3: The increased concern about some of the stocks is now 28 00:01:36,560 --> 00:01:37,920 Speaker 3: manifesting itself into is. 29 00:01:37,880 --> 00:01:39,520 Speaker 2: This a bigger broader issue? 30 00:01:39,920 --> 00:01:43,000 Speaker 3: That implied correlation rose in the past couple of weeks, 31 00:01:43,440 --> 00:01:46,720 Speaker 3: but we're not realizing those levels of volatility, and the 32 00:01:47,080 --> 00:01:50,000 Speaker 3: pressure is always there to sell all If the implied 33 00:01:50,320 --> 00:01:52,680 Speaker 3: are well above the realized, i'd expect to see that 34 00:01:52,720 --> 00:01:53,680 Speaker 3: pressure coming down. 35 00:01:54,120 --> 00:01:56,080 Speaker 4: What about in the credit space? That's what I was 36 00:01:56,120 --> 00:01:58,440 Speaker 4: reading all of the whole weekend because I was wondering 37 00:01:58,440 --> 00:01:59,800 Speaker 4: whether this is isolated or not. 38 00:02:00,080 --> 00:02:01,200 Speaker 5: You get conflicting answers. 39 00:02:01,240 --> 00:02:03,600 Speaker 4: Some are saying maybe this will be signs of more 40 00:02:03,640 --> 00:02:05,760 Speaker 4: further stress to come, but others are saying it's isolated. 41 00:02:05,760 --> 00:02:06,720 Speaker 5: What is your take on that? 42 00:02:06,840 --> 00:02:08,560 Speaker 3: My take on it is is that this is actually 43 00:02:08,639 --> 00:02:12,399 Speaker 3: indicative of a much broader problem we've been seeing bankruptcies 44 00:02:12,440 --> 00:02:15,239 Speaker 3: themselves have actually been elevated in the corporate space those 45 00:02:15,280 --> 00:02:19,160 Speaker 3: with assets above fifty million dollars. Bankruptcies for assets above 46 00:02:19,160 --> 00:02:21,960 Speaker 3: fifty million dollars have actually been surging in our levels 47 00:02:22,000 --> 00:02:24,440 Speaker 3: that are consistent with a much higher level of credit spreads. 48 00:02:24,960 --> 00:02:27,440 Speaker 3: The biggest story in credit spreads continues to be exactly 49 00:02:27,440 --> 00:02:29,480 Speaker 3: what you guys were referring earlier to from the sock 50 00:02:29,560 --> 00:02:30,320 Speaker 3: Gen observation. 51 00:02:30,800 --> 00:02:32,000 Speaker 2: People are piling money in. 52 00:02:32,160 --> 00:02:34,760 Speaker 3: There's not a lot of issues, particularly in high yield, 53 00:02:34,880 --> 00:02:37,720 Speaker 3: because they resist the higher yields. That means they're chasing 54 00:02:37,760 --> 00:02:40,440 Speaker 3: the secondary of securities and pressuring credit spreads. 55 00:02:40,440 --> 00:02:43,680 Speaker 2: Do you noticed Isabelle that he dresses up for Charles 56 00:02:43,680 --> 00:02:46,400 Speaker 2: Pain over at Fox Business, but he doesn't dress up 57 00:02:46,440 --> 00:02:46,799 Speaker 2: for us. 58 00:02:47,000 --> 00:02:47,440 Speaker 5: He did? 59 00:02:47,720 --> 00:02:47,920 Speaker 1: You know? 60 00:02:48,120 --> 00:02:48,680 Speaker 5: I saw that. 61 00:02:49,040 --> 00:02:52,280 Speaker 2: Slides in seven am in the morning. You were talking 62 00:02:52,320 --> 00:02:54,120 Speaker 2: to the wonderful Charlie Pain and you're going to talk 63 00:02:54,160 --> 00:02:58,760 Speaker 2: to us now about translate the private credit banks that's 64 00:02:58,800 --> 00:03:03,079 Speaker 2: out there. It's it's not a frenzy, but it's fermenting, 65 00:03:03,400 --> 00:03:07,959 Speaker 2: is how i'd put it. Discuss the fermenting of our fears. Well, 66 00:03:08,000 --> 00:03:08,800 Speaker 2: the biggest. 67 00:03:08,440 --> 00:03:11,360 Speaker 3: Thing to remember about private credit and private equity is 68 00:03:11,400 --> 00:03:13,480 Speaker 3: at the end of the day, these are just really 69 00:03:13,639 --> 00:03:17,160 Speaker 3: allocators in another form. Right, you are taking a private 70 00:03:17,200 --> 00:03:20,639 Speaker 3: credit firm, they are receiving an equity investment from their 71 00:03:20,760 --> 00:03:23,760 Speaker 3: end investors. They are then levering that with bank loans. 72 00:03:24,280 --> 00:03:26,120 Speaker 3: This comes through the banking system of what we call 73 00:03:26,200 --> 00:03:30,520 Speaker 3: the non depository financial institution lending, which is absolutely exploded. 74 00:03:31,160 --> 00:03:34,600 Speaker 3: So what you're really seeing is banks lending to non 75 00:03:34,680 --> 00:03:38,120 Speaker 3: banks where then lending to operating companies that are running 76 00:03:38,120 --> 00:03:38,440 Speaker 3: on a lege. 77 00:03:38,440 --> 00:03:40,880 Speaker 2: I got to interrupt. This is really important. What do 78 00:03:40,920 --> 00:03:44,560 Speaker 2: you perceive as a leverage ratio of private credit as 79 00:03:44,600 --> 00:03:48,800 Speaker 2: a lever up versus two thousand and sixty seven relative 80 00:03:48,840 --> 00:03:51,000 Speaker 2: to where the banks were in two thousand and six. 81 00:03:51,040 --> 00:03:54,120 Speaker 2: Two thousand and seven is well below that. 82 00:03:54,240 --> 00:03:58,280 Speaker 3: NDFI also captures hedge fund lending that in some situations, 83 00:03:58,320 --> 00:04:01,320 Speaker 3: particularly in the treasury basis, trade is running quite high. 84 00:04:01,720 --> 00:04:05,040 Speaker 3: So the overall leverage ratio in that sector is probably 85 00:04:05,080 --> 00:04:07,200 Speaker 3: in the ten to filaus. 86 00:04:07,240 --> 00:04:09,760 Speaker 2: It's pretty high. I say, Isabel, save me. 87 00:04:10,040 --> 00:04:12,280 Speaker 4: And so you said that this is a sign of 88 00:04:12,320 --> 00:04:14,680 Speaker 4: broader stress, So then will that mean we should be 89 00:04:14,720 --> 00:04:16,080 Speaker 4: on the lookout for further blowout? 90 00:04:16,160 --> 00:04:17,080 Speaker 5: And how cautious. 91 00:04:17,120 --> 00:04:19,520 Speaker 4: Will that make lenders because that will have ramifications for 92 00:04:19,600 --> 00:04:20,200 Speaker 4: the economy. 93 00:04:20,360 --> 00:04:23,600 Speaker 3: That's really the critical observation is about is the fact 94 00:04:23,640 --> 00:04:26,560 Speaker 3: that when you start to start asking questions, you become 95 00:04:26,640 --> 00:04:29,080 Speaker 3: less willing to extend credit. When you are less willing 96 00:04:29,120 --> 00:04:32,360 Speaker 3: to extend credit, you suddenly discover that people that desperately 97 00:04:32,400 --> 00:04:34,640 Speaker 3: needed that credit no longer have it. 98 00:04:35,279 --> 00:04:38,440 Speaker 2: The stresses begin to emerge. It's Warren Beffett's. 99 00:04:38,000 --> 00:04:40,680 Speaker 3: Expression, you find out who's naked when the tide is 100 00:04:40,760 --> 00:04:44,680 Speaker 3: going out right. It's the same underlying phenomenon where less 101 00:04:44,680 --> 00:04:47,080 Speaker 3: money available means it's easier to miss that payment. 102 00:04:48,000 --> 00:04:51,480 Speaker 4: Tom, can I ask about Vanguard? You wrote a paper 103 00:04:51,520 --> 00:04:54,760 Speaker 4: about Vanguard. It's called setting the record straight retraious questions 104 00:04:54,760 --> 00:04:57,640 Speaker 4: about passive investing, which is you know, an interest out 105 00:04:57,839 --> 00:05:00,640 Speaker 4: for everyone. I mean, yes, a big question always asking 106 00:05:00,680 --> 00:05:02,640 Speaker 4: the team is the S and P actually passive? Because 107 00:05:02,640 --> 00:05:05,520 Speaker 4: when they rebalance there's a committee in charge of it 108 00:05:05,600 --> 00:05:09,159 Speaker 4: which asked this question. Anyway, what do you make of that? 109 00:05:09,279 --> 00:05:10,920 Speaker 4: Why did you write the paper? What do you see 110 00:05:10,920 --> 00:05:13,200 Speaker 4: as Vanguard's central blind spot? 111 00:05:13,400 --> 00:05:15,760 Speaker 3: Well, I think the core issue is is that passive 112 00:05:15,760 --> 00:05:18,599 Speaker 3: investing is, first of all, not passive So the definition 113 00:05:18,640 --> 00:05:22,520 Speaker 3: of passive in the academic literature is somebody who never transacts. 114 00:05:22,839 --> 00:05:25,320 Speaker 2: That means you can't get in. It means you can't get. 115 00:05:25,200 --> 00:05:28,039 Speaker 3: Out, right, So they are not passive strategies, But it 116 00:05:28,040 --> 00:05:31,400 Speaker 3: turns out they are as systematic algorithmic strategies that simply say, 117 00:05:31,760 --> 00:05:34,320 Speaker 3: did you give me cash? If so, then by did 118 00:05:34,360 --> 00:05:37,400 Speaker 3: you ask for cash? If so, then sell. Any systematic 119 00:05:37,440 --> 00:05:40,560 Speaker 3: strategy can get crowded. And what we're experiencing now is 120 00:05:40,560 --> 00:05:44,000 Speaker 3: the impact of crowding into a strategy that most people 121 00:05:44,040 --> 00:05:46,480 Speaker 3: had presumed had nearly unlimited capacity. 122 00:05:47,279 --> 00:05:49,800 Speaker 4: You can see crowding about a lot of things like 123 00:05:49,880 --> 00:05:51,000 Speaker 4: AI or gold. 124 00:05:51,080 --> 00:05:53,159 Speaker 2: Now, well, what. 125 00:05:53,040 --> 00:05:55,600 Speaker 3: You actually are seeing is a little bit even more perverse, 126 00:05:55,760 --> 00:05:58,400 Speaker 3: so things like the rising concentration. This is actually the 127 00:05:58,440 --> 00:06:01,360 Speaker 3: subject of my first academic paper, which I will send 128 00:06:01,400 --> 00:06:02,279 Speaker 3: a copy over to you. 129 00:06:02,320 --> 00:06:03,479 Speaker 2: Yes, as soon as it's ready. 130 00:06:04,240 --> 00:06:08,560 Speaker 3: But what you actually have with passive investing because you 131 00:06:08,600 --> 00:06:12,239 Speaker 3: are allocating on the basis of market capitalization. That means 132 00:06:12,279 --> 00:06:15,520 Speaker 3: when a stock goes up, the next dollar in gets 133 00:06:15,560 --> 00:06:18,840 Speaker 3: a larger allocation. And the perverse thing that we are 134 00:06:18,880 --> 00:06:22,040 Speaker 3: now finding out is that markets are not nearly elastic 135 00:06:22,160 --> 00:06:24,640 Speaker 3: enough to take in the scale of the flows that 136 00:06:24,680 --> 00:06:27,600 Speaker 3: we're sending them from passive vehicles, It has a really 137 00:06:27,640 --> 00:06:31,680 Speaker 3: perverse impact. The largest stocks in many situations are the 138 00:06:31,760 --> 00:06:35,640 Speaker 3: least elastic stocks and are therefore actually being inflated more 139 00:06:35,680 --> 00:06:38,680 Speaker 3: than the rest of the market. That creates a feedback 140 00:06:38,720 --> 00:06:42,120 Speaker 3: loop that really plays through in the types of concentration 141 00:06:42,200 --> 00:06:44,560 Speaker 3: that we're seeing and unfortunately lowers the threshold. 142 00:06:44,640 --> 00:06:45,560 Speaker 2: This is what the paper is about. 143 00:06:45,560 --> 00:06:48,000 Speaker 3: It lowers the threshold at which we discover that passive 144 00:06:48,080 --> 00:06:50,960 Speaker 3: becomes a negative feature in the market. 145 00:06:51,000 --> 00:06:55,080 Speaker 2: Can you quantify a set of PE points where it's 146 00:06:55,200 --> 00:07:00,680 Speaker 2: overvalued because of passive internal dynamics. Walmart's at forty should 147 00:07:00,720 --> 00:07:04,240 Speaker 2: it be at thirty eight or thirty six or fifteen? 148 00:07:05,080 --> 00:07:07,320 Speaker 3: So this is one of the real challenges tom, because 149 00:07:07,360 --> 00:07:09,720 Speaker 3: if you think about what should be happening when companies 150 00:07:09,720 --> 00:07:13,600 Speaker 3: are experiencing extraordinary levels of profitability, we should expect those 151 00:07:13,680 --> 00:07:16,400 Speaker 3: profit margins to mean revert at some point in the future. 152 00:07:17,080 --> 00:07:19,600 Speaker 3: That would actually tell you the valuation should be even 153 00:07:19,760 --> 00:07:22,880 Speaker 3: lower than you would otherwise expect. I know this sounds 154 00:07:22,880 --> 00:07:26,080 Speaker 3: absolutely crazy, but my estimate for Walmart is probably somewhere 155 00:07:26,080 --> 00:07:26,679 Speaker 3: in the teens. 156 00:07:27,000 --> 00:07:30,000 Speaker 2: Oh that's I can't say I agree with that because 157 00:07:30,000 --> 00:07:31,800 Speaker 2: I'm not allowed to have an opinion, But there it is. 158 00:07:31,800 --> 00:07:34,720 Speaker 2: I got to squeeze a sentence to important. We have 159 00:07:34,800 --> 00:07:38,760 Speaker 2: a planum in Beijing. It's off the radar for the 160 00:07:38,800 --> 00:07:43,640 Speaker 2: American people, the American business community. I don't buy it 161 00:07:43,720 --> 00:07:47,680 Speaker 2: for a minute. And you watched China in this development 162 00:07:47,720 --> 00:07:50,080 Speaker 2: of a five year plan forward. What are you watching for? 163 00:07:50,360 --> 00:07:52,280 Speaker 3: Well, the single most important thing that's happening at this 164 00:07:52,360 --> 00:07:55,520 Speaker 3: planet is the relative lack of news about gi going 165 00:07:55,560 --> 00:07:58,400 Speaker 3: into it and the wholesale replacement of many of his 166 00:07:58,520 --> 00:08:00,560 Speaker 3: loyalists that we've seen in the million terry in the 167 00:08:00,560 --> 00:08:01,720 Speaker 3: past couple of weeks. 168 00:08:01,520 --> 00:08:04,040 Speaker 2: There's nine nine and well that's just in the last week. 169 00:08:04,320 --> 00:08:06,800 Speaker 3: I believe about seventeen that have been replaced over the 170 00:08:06,880 --> 00:08:10,360 Speaker 3: past couple of months. It's unclear whether this is driven 171 00:08:10,400 --> 00:08:12,600 Speaker 3: by g or whether this is a loss of power 172 00:08:12,720 --> 00:08:12,960 Speaker 3: for G. 173 00:08:13,200 --> 00:08:13,360 Speaker 2: Right. 174 00:08:13,400 --> 00:08:16,440 Speaker 3: We look at American politics, We're very familiar with the 175 00:08:16,480 --> 00:08:19,800 Speaker 3: travails between the Trump administration and the Democratic Party, et cetera. 176 00:08:20,360 --> 00:08:23,680 Speaker 3: Every other country has those as well, the simple reality 177 00:08:23,720 --> 00:08:26,280 Speaker 3: as they are largely concealed from us, but there very 178 00:08:26,400 --> 00:08:29,240 Speaker 3: much appears to be a significant power struggle underway in 179 00:08:29,360 --> 00:08:32,960 Speaker 3: China right now. What the implications of it, Whether these 180 00:08:33,000 --> 00:08:35,760 Speaker 3: generals are being replaced because they're saying we're not ready 181 00:08:35,800 --> 00:08:37,839 Speaker 3: to go for Taiwan and G is pushing for it 182 00:08:38,320 --> 00:08:40,679 Speaker 3: when he's trying to find somebody who says, yes, I'll 183 00:08:40,760 --> 00:08:43,960 Speaker 3: ah putin with the invasion of Ukraine, or whether this 184 00:08:44,160 --> 00:08:45,520 Speaker 3: is more a verdict. 185 00:08:45,280 --> 00:08:48,600 Speaker 2: On G himself. We just don't know yet. Brilliant synopsis. 186 00:08:48,640 --> 00:08:51,840 Speaker 2: Michael Green, thank us so much. Is simplify asset management 187 00:08:51,920 --> 00:08:54,000 Speaker 2: something we'll be watching through the week. Here are these 188 00:08:54,040 --> 00:08:59,240 Speaker 2: important meetings in China. Stay with us. More from Bloomberg's 189 00:08:59,240 --> 00:09:01,280 Speaker 2: Surveillance coming up after this. 190 00:09:08,520 --> 00:09:12,080 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 191 00:09:12,160 --> 00:09:15,320 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on 192 00:09:15,400 --> 00:09:19,040 Speaker 1: Applecarplay and Android Auto with the Bloomberg Business app, or 193 00:09:19,200 --> 00:09:20,640 Speaker 1: watch us live on YouTube. 194 00:09:20,679 --> 00:09:25,640 Speaker 2: We now turn, incredibly importantly, turn to Henrietta Trees joining 195 00:09:25,720 --> 00:09:29,439 Speaker 2: us from Veda Partners here on the shutdown. Henriette, I 196 00:09:29,480 --> 00:09:32,560 Speaker 2: look at the Washington Post this morning and there is 197 00:09:32,720 --> 00:09:36,360 Speaker 2: not a single article on the shutdown. I'm sort of 198 00:09:36,400 --> 00:09:40,360 Speaker 2: shocked by that. Give us an update X number of 199 00:09:40,480 --> 00:09:44,600 Speaker 2: days in to the agony of our federal workers. 200 00:09:45,080 --> 00:09:47,120 Speaker 6: Yeah, that tells me pretty much everything you need to know. 201 00:09:47,200 --> 00:09:49,400 Speaker 6: There's not going to be any resolution this week. I 202 00:09:49,440 --> 00:09:52,360 Speaker 6: wouldn't even expect one next week. The White House is 203 00:09:52,400 --> 00:09:55,439 Speaker 6: not engaged. It's clear to me for my conversations with 204 00:09:55,559 --> 00:09:57,800 Speaker 6: Republicans on the House and set outside, that they're waiting 205 00:09:57,840 --> 00:10:00,319 Speaker 6: for the White House to decide what they want to 206 00:10:00,360 --> 00:10:02,600 Speaker 6: do here, whether there's anything that they want to offer 207 00:10:02,679 --> 00:10:04,960 Speaker 6: to Democrats to make anything shake loose. 208 00:10:05,240 --> 00:10:06,560 Speaker 5: They'll have their eleventh vote. 209 00:10:06,600 --> 00:10:10,560 Speaker 6: It will fail again, and we'll just keep repeating the 210 00:10:10,600 --> 00:10:13,079 Speaker 6: same thing, knocking our heads against the wall for a while. 211 00:10:13,240 --> 00:10:17,800 Speaker 2: What part of our federal government will we observe failing? 212 00:10:17,880 --> 00:10:21,199 Speaker 2: Don't tell me like national parks. Okay, there's twelve people 213 00:10:21,240 --> 00:10:23,920 Speaker 2: out there, I get it. But within the real day 214 00:10:23,960 --> 00:10:27,480 Speaker 2: to day of our listeners and viewers, what will fail 215 00:10:27,720 --> 00:10:28,880 Speaker 2: because of the shutdown? 216 00:10:29,800 --> 00:10:33,240 Speaker 6: Well, I think we already have seen the data releases fail, 217 00:10:33,320 --> 00:10:35,200 Speaker 6: so we're already in the thirds of that. The market's 218 00:10:35,240 --> 00:10:37,800 Speaker 6: already had to adapt to that. But the next big one, 219 00:10:37,840 --> 00:10:40,600 Speaker 6: as everybody always knows, is going through the airport and 220 00:10:40,640 --> 00:10:44,160 Speaker 6: trying to travel. It's very scary to be concerned about 221 00:10:44,160 --> 00:10:45,720 Speaker 6: whether or not you're going to be able to get through, 222 00:10:45,960 --> 00:10:47,880 Speaker 6: whether or not the flights are going to get shut down. 223 00:10:48,280 --> 00:10:50,719 Speaker 6: That's generally the main branch of AACK. 224 00:10:50,760 --> 00:10:53,760 Speaker 2: Okay, but Isabelle at the golf stream. So I had 225 00:10:53,760 --> 00:10:56,360 Speaker 2: to take thank you Delta for a great trip down 226 00:10:56,400 --> 00:10:59,880 Speaker 2: to Houston. And the answer is it was seamless andry. 227 00:11:00,160 --> 00:11:04,280 Speaker 2: There was no problem. Are there really problems with TSA 228 00:11:04,320 --> 00:11:05,400 Speaker 2: and air controllers? 229 00:11:05,440 --> 00:11:09,400 Speaker 6: Now they're starting to register upticks in folks calling in 230 00:11:09,440 --> 00:11:11,920 Speaker 6: sick from work, And the longer it goes, and as 231 00:11:11,960 --> 00:11:14,040 Speaker 6: you miss those pay cycles, you'll start to see more 232 00:11:14,080 --> 00:11:15,599 Speaker 6: of that. And I think that's really the story of 233 00:11:15,640 --> 00:11:18,400 Speaker 6: the shutdown. It's not one being silver bullet. It's a 234 00:11:18,440 --> 00:11:21,720 Speaker 6: compounding of a bunch of little things. No military pay, 235 00:11:21,800 --> 00:11:25,360 Speaker 6: no federal employee pay, that starts to weigh on members 236 00:11:25,480 --> 00:11:27,960 Speaker 6: and districts and starts to get painful. And we're going 237 00:11:28,000 --> 00:11:29,959 Speaker 6: to need to be shut down for probably another two 238 00:11:30,000 --> 00:11:31,040 Speaker 6: weeks before we get there. 239 00:11:31,600 --> 00:11:34,080 Speaker 4: You said that in your note that polling shows that 240 00:11:34,120 --> 00:11:37,160 Speaker 4: Republicans are bearing the blunt of the blame, but most 241 00:11:37,160 --> 00:11:40,040 Speaker 4: of their ads are actually targeted towards the Democrats. And 242 00:11:40,080 --> 00:11:42,160 Speaker 4: I've seen some of them. Where do you see the 243 00:11:42,200 --> 00:11:45,320 Speaker 4: breakdown and messaging is why isn't one party more effective 244 00:11:45,320 --> 00:11:47,000 Speaker 4: than the other when it comes to the blame game? 245 00:11:47,720 --> 00:11:50,600 Speaker 6: Yeah, I asked staff across the aisle both sides about 246 00:11:50,600 --> 00:11:54,120 Speaker 6: this last week on Capitol Hill, and Republicans are a 247 00:11:54,160 --> 00:11:56,079 Speaker 6: little bit split. There's some who think that none of 248 00:11:56,120 --> 00:11:58,960 Speaker 6: this matters. Voters are totally disengaged and therefore it's not 249 00:11:59,000 --> 00:12:01,320 Speaker 6: a big deal. The President can keep tweeting, you know, 250 00:12:01,360 --> 00:12:03,719 Speaker 6: AI images if he wants to and it doesn't move 251 00:12:03,760 --> 00:12:05,800 Speaker 6: the needle. Then there are others who are saying, look, 252 00:12:05,840 --> 00:12:08,560 Speaker 6: when I go back to my district in Alabama or wherever, 253 00:12:09,280 --> 00:12:12,160 Speaker 6: they see that the president controls the White House, Republicans 254 00:12:12,160 --> 00:12:14,400 Speaker 6: control the House. In the Senate, it's difficult to then 255 00:12:14,440 --> 00:12:16,520 Speaker 6: have to layer on yet, but we need sixty votes 256 00:12:16,600 --> 00:12:18,800 Speaker 6: in the Senate, you know. And then on the Democratic side, 257 00:12:18,840 --> 00:12:22,199 Speaker 6: they're just waiting it out. They think that they're winning 258 00:12:22,200 --> 00:12:22,520 Speaker 6: as well. 259 00:12:22,880 --> 00:12:25,760 Speaker 2: And had one final question here to get the week started. 260 00:12:26,160 --> 00:12:30,600 Speaker 2: It's October. How many people what's the level of Henrietta 261 00:12:30,640 --> 00:12:36,120 Speaker 2: Tre's radar on retirement of representatives and senators? Are we 262 00:12:36,120 --> 00:12:38,599 Speaker 2: going to see a wave of people retire. 263 00:12:38,880 --> 00:12:41,720 Speaker 6: We already have seen the announcements come there from all 264 00:12:41,800 --> 00:12:45,320 Speaker 6: over as well, so from farming states. I think that 265 00:12:45,480 --> 00:12:48,679 Speaker 6: the next round of elections, this midterm cycle is going 266 00:12:48,720 --> 00:12:51,679 Speaker 6: to be really telling. Everybody's sort of already in twenty 267 00:12:51,720 --> 00:12:54,640 Speaker 6: twenty eight, even on Capitol Hill, which is really fascinating. 268 00:12:54,880 --> 00:12:55,080 Speaker 2: You know. 269 00:12:55,120 --> 00:12:58,319 Speaker 6: The main story is Jadie Vance will be, you know, 270 00:12:58,679 --> 00:13:01,200 Speaker 6: deemed to be the onner op and the follower to 271 00:13:01,280 --> 00:13:03,480 Speaker 6: President Trump. Who are the Democrats going to pick? 272 00:13:03,480 --> 00:13:04,240 Speaker 5: We're focused on that. 273 00:13:04,280 --> 00:13:06,880 Speaker 6: A lot more in conversation than even the midterms. It's 274 00:13:06,960 --> 00:13:09,000 Speaker 6: kind of interesting to see that we just move ahead 275 00:13:09,000 --> 00:13:09,240 Speaker 6: to that. 276 00:13:09,600 --> 00:13:12,160 Speaker 2: Henrietta, Thank you so much. A Monday Brief with Henrietta 277 00:13:12,160 --> 00:13:16,640 Speaker 2: Tray's Beta partners stay with us. More from Bloomberg Surveillance 278 00:13:16,679 --> 00:13:25,080 Speaker 2: coming up after this. 279 00:13:25,080 --> 00:13:29,000 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 280 00:13:29,040 --> 00:13:32,079 Speaker 1: starting at seven am Eastern on Apple Cocklay and Android 281 00:13:32,080 --> 00:13:35,120 Speaker 1: Auto with the Bloomberg Business app. You can also listen 282 00:13:35,200 --> 00:13:38,480 Speaker 1: live on Amazon Alexa from our flagship New York station, 283 00:13:39,000 --> 00:13:41,680 Speaker 1: Just say Alexa Play Bloomberg eleven thirty. 284 00:13:41,800 --> 00:13:45,199 Speaker 2: Stephen Angler joins us. He's with a standard charter bank 285 00:13:45,280 --> 00:13:49,520 Speaker 2: and it can't be a normal day. When you see 286 00:13:49,520 --> 00:13:52,559 Speaker 2: the headlines coming out of Argentina. Oh, I guess we 287 00:13:52,679 --> 00:13:56,839 Speaker 2: booked Yeller. Darius Dale was just in all ivy football 288 00:13:57,440 --> 00:14:01,440 Speaker 2: at Yale. Were you on the football team? Ill, Stephen Englander? 289 00:14:03,120 --> 00:14:06,120 Speaker 7: I had to turn them down because they would be 290 00:14:06,360 --> 00:14:07,559 Speaker 7: unfair if I joined the team. 291 00:14:07,640 --> 00:14:09,920 Speaker 2: It's great to go from darius Dale to Stephen Englander 292 00:14:09,960 --> 00:14:14,280 Speaker 2: of Yale. At University Argentina, we have the stereo Troy 293 00:14:14,559 --> 00:14:17,920 Speaker 2: uh stereotype Avia Pirona and that maybe we have a 294 00:14:17,960 --> 00:14:21,600 Speaker 2: Germanic history, and then coming out the prosperity of Argentina 295 00:14:21,680 --> 00:14:27,920 Speaker 2: fading away within standard charter. Where is Argentina right now? 296 00:14:28,040 --> 00:14:31,000 Speaker 2: How chaotic is it? Well? 297 00:14:31,160 --> 00:14:33,960 Speaker 7: You know I should preface anything I say by saying 298 00:14:34,000 --> 00:14:36,400 Speaker 7: I'm not an expert, as you know, I do G 299 00:14:36,520 --> 00:14:37,160 Speaker 7: ten mostly. 300 00:14:38,040 --> 00:14:43,120 Speaker 2: Well, it's G eleven. Okay, Well, you know, maybe let 301 00:14:43,160 --> 00:14:46,480 Speaker 2: me rephrase this. When you look at Argentina dealing with 302 00:14:46,520 --> 00:14:49,760 Speaker 2: the Secretary of Treasury and the President of the United States, 303 00:14:50,320 --> 00:14:53,480 Speaker 2: his swap agreement this morning is unusual, right. 304 00:14:55,160 --> 00:14:57,960 Speaker 7: You know, all of these types of agreements are unusual, 305 00:14:58,320 --> 00:15:02,040 Speaker 7: and you know ultimately they get decided, you know, in 306 00:15:02,440 --> 00:15:05,320 Speaker 7: the course of years by whether or not they're consistent 307 00:15:05,360 --> 00:15:08,320 Speaker 7: with the fundamentals, and what they're trying to achieve is, 308 00:15:08,880 --> 00:15:11,040 Speaker 7: you know, sort of makes sense. You know, does the 309 00:15:11,080 --> 00:15:14,760 Speaker 7: exchange rate make sense? Do the policies make sense? And 310 00:15:15,280 --> 00:15:18,920 Speaker 7: you know, aid like that can be a bridge. It's never, 311 00:15:20,040 --> 00:15:22,360 Speaker 7: it's never the entire edifice itself. 312 00:15:23,480 --> 00:15:25,960 Speaker 5: What about let's talk about the quality of the US data. 313 00:15:26,000 --> 00:15:28,400 Speaker 4: You've said that it's now a risk to the market 314 00:15:28,520 --> 00:15:32,240 Speaker 4: and the policy itself. How much is it actually distorting 315 00:15:32,240 --> 00:15:33,480 Speaker 4: the FED decision. 316 00:15:33,160 --> 00:15:36,440 Speaker 7: If it is, well, I think it distorted it pretty much. 317 00:15:36,520 --> 00:15:39,040 Speaker 7: I mean, if you compare the comments that the FED 318 00:15:39,160 --> 00:15:43,960 Speaker 7: was making about the labor market may June July into 319 00:15:44,000 --> 00:15:47,440 Speaker 7: August and what we now know about the labor market 320 00:15:47,800 --> 00:15:51,280 Speaker 7: and the fact that the data are still wrong in 321 00:15:51,320 --> 00:15:56,640 Speaker 7: the sense that they overstate the contribution of new firms consistently. 322 00:15:57,960 --> 00:16:01,160 Speaker 7: You know, I think it probably the more hawkish than 323 00:16:01,200 --> 00:16:02,000 Speaker 7: they ought to have been. 324 00:16:02,520 --> 00:16:04,680 Speaker 4: So the FED aal always sys their data dependent. If 325 00:16:04,680 --> 00:16:08,040 Speaker 4: the data is flawed, it was it that What does 326 00:16:08,120 --> 00:16:13,440 Speaker 4: that say about policy reliability then, especially around employment inflation readings. 327 00:16:14,800 --> 00:16:16,400 Speaker 2: I think there's risk there. 328 00:16:16,720 --> 00:16:21,800 Speaker 7: I think what ultimately the data are probably correct over 329 00:16:21,840 --> 00:16:25,680 Speaker 7: a period of say four quarters two years. But I 330 00:16:25,720 --> 00:16:29,840 Speaker 7: think in terms of making real term, real time policy 331 00:16:30,160 --> 00:16:35,680 Speaker 7: and in terms of market participants, you know, pricing assets, 332 00:16:35,720 --> 00:16:40,600 Speaker 7: the fact that there's so much volatility and error and 333 00:16:40,640 --> 00:16:43,880 Speaker 7: the short term numbers is a big deal. 334 00:16:44,160 --> 00:16:46,840 Speaker 2: Steve Dangler wrote is the standard Charter Bank and extended 335 00:16:46,880 --> 00:16:50,000 Speaker 2: conversation for Global Wall Street. This morning, we said good 336 00:16:50,000 --> 00:16:53,240 Speaker 2: Morning around the world on YouTube, in your office, at home, 337 00:16:53,400 --> 00:16:55,160 Speaker 2: even in your car. Don't look at the screen while 338 00:16:55,160 --> 00:16:59,440 Speaker 2: you're driving. Subscribe to Bloomberg podcasts Good Morning across the 339 00:16:59,520 --> 00:17:03,080 Speaker 2: nation ticularly ninety nine one FM in Washington, ninety two 340 00:17:03,200 --> 00:17:05,800 Speaker 2: nine FM in Boston, and Bloomberg eleventh three to zero. 341 00:17:06,200 --> 00:17:09,439 Speaker 2: Here in a perfect New York this morning, Steven, I 342 00:17:09,480 --> 00:17:12,879 Speaker 2: look at the great call of dollar weakness and flat 343 00:17:12,920 --> 00:17:16,320 Speaker 2: out it just hasn't happened. Then I look at cross rates, 344 00:17:16,359 --> 00:17:21,480 Speaker 2: which you are expert at, Euro Yen, euro swissy and 345 00:17:21,520 --> 00:17:25,240 Speaker 2: the rest. Which cross rate do you look at away 346 00:17:25,760 --> 00:17:27,840 Speaker 2: from a G ten analysis. 347 00:17:28,359 --> 00:17:32,439 Speaker 7: Well, lately we've been looking at things like euro Brazil 348 00:17:32,640 --> 00:17:37,080 Speaker 7: or sterling Brazil as a gauge of you know, Brazil 349 00:17:37,160 --> 00:17:40,520 Speaker 7: being a very risk on type of currency and sort 350 00:17:40,520 --> 00:17:43,280 Speaker 7: of a gauge of how kind of willing the market 351 00:17:43,359 --> 00:17:45,679 Speaker 7: is to take on risk and buy Carrie. 352 00:17:46,840 --> 00:17:49,800 Speaker 2: Europe a kind of a very mixed. 353 00:17:49,520 --> 00:17:53,320 Speaker 7: Bag and getting sort of slightly more negative mixed than 354 00:17:53,359 --> 00:17:54,200 Speaker 7: positive mixed. 355 00:17:54,480 --> 00:17:58,679 Speaker 2: So Zabelle to translate this into the real world, I 356 00:17:58,880 --> 00:18:04,720 Speaker 2: punch up EU BRL euro Brazil on the Bloomberg. I 357 00:18:04,800 --> 00:18:08,560 Speaker 2: take it back twenty years and there's just been a 358 00:18:08,680 --> 00:18:15,120 Speaker 2: massive Brazilian weakness and euro strength until now. And that's, folks, 359 00:18:15,119 --> 00:18:18,520 Speaker 2: just as a window into the Steve Englander world. Are 360 00:18:18,560 --> 00:18:23,320 Speaker 2: you suggesting go long Brazil versus more dominant economies? 361 00:18:23,800 --> 00:18:26,280 Speaker 7: You know, we we have some sympathy to that view. 362 00:18:26,359 --> 00:18:28,040 Speaker 7: I mean we you know, you look at some of 363 00:18:28,080 --> 00:18:31,000 Speaker 7: the risk negative events of the last week. 364 00:18:31,160 --> 00:18:32,440 Speaker 2: They are a couple of weeks. 365 00:18:32,440 --> 00:18:35,760 Speaker 7: They look as if they're likely to fade, and we 366 00:18:35,840 --> 00:18:37,879 Speaker 7: do think that the markets could well go back to 367 00:18:38,280 --> 00:18:40,800 Speaker 7: looking at Carrie and a, you know, as the risk 368 00:18:40,880 --> 00:18:42,399 Speaker 7: environment becomes more favorable. 369 00:18:43,160 --> 00:18:45,439 Speaker 4: I do see that this is a stunning chart. Actually, 370 00:18:45,520 --> 00:18:48,159 Speaker 4: it's almost like, I don't know, how do you draw it? 371 00:18:49,520 --> 00:18:53,080 Speaker 4: A day, I'm gonna liigne the EU RBRL go. 372 00:18:53,880 --> 00:18:56,920 Speaker 2: That's Steven Englander's world across right as well. Tell me 373 00:18:56,960 --> 00:19:00,280 Speaker 2: about Swiss Frank, I mean, for America. We perceive Swiss 374 00:19:00,280 --> 00:19:02,640 Speaker 2: Frank is strong, strong, strong, and they've got their own 375 00:19:02,720 --> 00:19:06,600 Speaker 2: unique issues. I mean, Nestley makes headlines with sixteen thousand 376 00:19:06,600 --> 00:19:10,760 Speaker 2: people out the door. But the flow of money into 377 00:19:10,760 --> 00:19:16,440 Speaker 2: Switzerland with dollars Swiss or EuroSwiss, how does that ultimately 378 00:19:16,520 --> 00:19:17,080 Speaker 2: play out? 379 00:19:17,680 --> 00:19:19,919 Speaker 7: You know, over time, I've changed my view on Swiss 380 00:19:19,920 --> 00:19:22,639 Speaker 7: because you know, I was always focused on overvaluation. 381 00:19:24,480 --> 00:19:25,760 Speaker 2: But you take a look at it. 382 00:19:25,800 --> 00:19:29,760 Speaker 7: They continue to have a trade surplus, so you know, 383 00:19:29,800 --> 00:19:32,840 Speaker 7: they and they tend to be in product segments where 384 00:19:33,880 --> 00:19:36,800 Speaker 7: it's not you know, there's some product differentiation, so the 385 00:19:37,040 --> 00:19:41,720 Speaker 7: you know, there's interlastic sleeve demand there, so prices go up, 386 00:19:42,000 --> 00:19:45,760 Speaker 7: man doesn't collapse. And at the same time, you know, 387 00:19:45,800 --> 00:19:50,040 Speaker 7: they have a surplus in their income account and at 388 00:19:50,040 --> 00:19:53,400 Speaker 7: the same time money wants to come into Switzerland. That's 389 00:19:53,440 --> 00:19:56,480 Speaker 7: a very powerful driver. What's your trade this morning? What 390 00:19:56,640 --> 00:19:58,840 Speaker 7: is the intelligent trade out three months? 391 00:19:58,840 --> 00:19:59,879 Speaker 2: Six months? For steven Ing? 392 00:20:00,840 --> 00:20:04,480 Speaker 7: Well, you know, we we like our euroview your weakness, 393 00:20:04,560 --> 00:20:07,280 Speaker 7: and we think and dollars think, we think it will 394 00:20:07,280 --> 00:20:09,600 Speaker 7: play out over that time horizon, and we think that 395 00:20:09,640 --> 00:20:15,040 Speaker 7: it's you know, we think that the market consensus is 396 00:20:15,080 --> 00:20:17,119 Speaker 7: still very dollar bearish. 397 00:20:17,280 --> 00:20:20,040 Speaker 4: You mentioned dollar strength, So if the US is overstating 398 00:20:20,200 --> 00:20:24,959 Speaker 4: it's labor growth, labor growth and market growth strength, then 399 00:20:25,080 --> 00:20:26,399 Speaker 4: is the US dollar miss price? 400 00:20:29,640 --> 00:20:32,040 Speaker 7: The dollar is mispriced, but not for that reason, I think, 401 00:20:32,240 --> 00:20:34,719 Speaker 7: I think what you know, what we're seeing. I mean, 402 00:20:34,760 --> 00:20:37,199 Speaker 7: if you think of it, the GDP now before the 403 00:20:37,520 --> 00:20:41,800 Speaker 7: shutdown was running three eight three nine, it looks like 404 00:20:41,920 --> 00:20:45,639 Speaker 7: labor input and correctly measured was probably down one percent. 405 00:20:45,960 --> 00:20:50,960 Speaker 7: So productivity is booming. Historically that's been a very dollar 406 00:20:51,080 --> 00:20:52,280 Speaker 7: positive development. 407 00:20:52,800 --> 00:20:55,399 Speaker 2: I mean, I look at the charter folks a bbd 408 00:20:55,680 --> 00:20:59,200 Speaker 2: x Y. This is the Bloomberg Dollar Index. Michael Rosenberg 409 00:20:59,280 --> 00:21:01,680 Speaker 2: and his team invent of this. It was immediately taken 410 00:21:01,760 --> 00:21:04,840 Speaker 2: up by the IMF. It's more than the d x 411 00:21:04,960 --> 00:21:08,080 Speaker 2: Y includes China, includes the world of standard charter bank 412 00:21:08,520 --> 00:21:11,760 Speaker 2: as well. I see one about two bouts three bouts 413 00:21:12,359 --> 00:21:16,760 Speaker 2: of catharsis move strong dollar? Yes? Yes, yes, yes, yes, reversal. 414 00:21:17,440 --> 00:21:20,560 Speaker 2: I mean, does that indicate is there a catharsis out there? 415 00:21:20,880 --> 00:21:25,680 Speaker 2: When the dollar strengthens, that does indicate out there somewhere 416 00:21:25,800 --> 00:21:26,760 Speaker 2: is dollar weakness. 417 00:21:27,960 --> 00:21:30,040 Speaker 7: You know, you can look at it both ways. I 418 00:21:30,080 --> 00:21:33,600 Speaker 7: look at it the other way. I think that exporders 419 00:21:33,600 --> 00:21:38,520 Speaker 7: to the US. They have less competitive currencies because of appreciation, 420 00:21:39,160 --> 00:21:41,520 Speaker 7: and then they're facing the tariffs. I think it's hard 421 00:21:41,560 --> 00:21:44,440 Speaker 7: for the you know, for them to swallow for their appreciation. 422 00:21:45,280 --> 00:21:48,040 Speaker 7: And you know, i'd say that the you know potential, 423 00:21:48,280 --> 00:21:51,240 Speaker 7: you know what we're seeing in terms of productivity, productivity 424 00:21:51,680 --> 00:21:55,399 Speaker 7: potential in the US that's emerging very late in the cycle. 425 00:21:55,680 --> 00:21:59,560 Speaker 7: We're just not seeing anywhere else. So and that typically 426 00:21:59,640 --> 00:22:02,879 Speaker 7: generates it's a capital inflow, which ends up being you know, 427 00:22:03,000 --> 00:22:06,000 Speaker 7: dollar positive or positive for any currency, you're going to 428 00:22:06,040 --> 00:22:06,679 Speaker 7: get that inflow. 429 00:22:06,760 --> 00:22:10,040 Speaker 2: Steven Angler are an extensive conversation this morning, Isabelle in time, 430 00:22:10,080 --> 00:22:12,520 Speaker 2: can we welcome all of you around the world and 431 00:22:12,600 --> 00:22:14,760 Speaker 2: particularly the standard charter world. 432 00:22:14,960 --> 00:22:18,840 Speaker 4: Isabelle, you've highlighted that employment population ratio is a more 433 00:22:18,840 --> 00:22:21,520 Speaker 4: reliable labor metric than headline unemployment. 434 00:22:21,560 --> 00:22:22,680 Speaker 5: Can you talk to us about why. 435 00:22:23,480 --> 00:22:27,800 Speaker 7: Well, because the unemployment trade is affected by labor force participation. 436 00:22:28,400 --> 00:22:31,399 Speaker 7: So if you're losing jobs but you know people are 437 00:22:31,440 --> 00:22:33,879 Speaker 7: dropping out of the labor force, it doesn't show up, 438 00:22:34,000 --> 00:22:37,040 Speaker 7: or if you're it doesn't show up as much. But 439 00:22:37,240 --> 00:22:41,560 Speaker 7: normally you'd say that, well, you know, say people want 440 00:22:41,560 --> 00:22:44,880 Speaker 7: to work and so if the employment of population goes down, 441 00:22:45,119 --> 00:22:48,320 Speaker 7: that tells you that there are fewer people working. 442 00:22:49,040 --> 00:22:52,800 Speaker 4: So if all these data are inaccurate, what could Affed 443 00:22:53,040 --> 00:22:56,000 Speaker 4: or the BLS do realistically and urgently to shore up 444 00:22:56,080 --> 00:22:59,840 Speaker 4: data credibility without, of course, massive new funding, given that 445 00:22:59,840 --> 00:23:02,200 Speaker 4: the government is on day twenty of the shutdown. 446 00:23:02,320 --> 00:23:04,440 Speaker 7: Well, I'm not sure they need that much funding. I 447 00:23:04,880 --> 00:23:08,760 Speaker 7: think that the issues are more conceptual. I mean things 448 00:23:08,920 --> 00:23:12,720 Speaker 7: that would be easy, like counting gig workers. Because there's 449 00:23:12,760 --> 00:23:16,560 Speaker 7: so few big gig firms you can they're now not 450 00:23:16,960 --> 00:23:19,639 Speaker 7: picked up at all or virtually not at all. In NFP, 451 00:23:21,000 --> 00:23:23,119 Speaker 7: you know so much RELI there's so much reliance on 452 00:23:23,160 --> 00:23:26,560 Speaker 7: the unemployment rate. But it's a tiny sample compared to 453 00:23:27,080 --> 00:23:30,920 Speaker 7: you know how much policy and markets rely on it. 454 00:23:32,160 --> 00:23:36,120 Speaker 7: The Jewelt's number, again, very imperfect sample. I wouldn't rely 455 00:23:36,200 --> 00:23:36,879 Speaker 7: on that at all. 456 00:23:36,920 --> 00:23:40,320 Speaker 4: But doesn't that require staff though, and that's their main complaint. 457 00:23:41,040 --> 00:23:45,200 Speaker 7: Well, look, I'm not an expert on the inner workings 458 00:23:45,240 --> 00:23:48,840 Speaker 7: of BLS, but I'd say that what it requires. And 459 00:23:48,960 --> 00:23:52,439 Speaker 7: just as an example, the data show that the native 460 00:23:52,440 --> 00:23:55,000 Speaker 7: born population of the US increased two and a half 461 00:23:55,119 --> 00:24:00,240 Speaker 7: million between March and August. Well, that didn't happen because 462 00:24:00,200 --> 00:24:03,080 Speaker 7: there there wasn't a surge of birth sixteen years ago 463 00:24:03,560 --> 00:24:06,720 Speaker 7: to you know that would be reflected now. But there's 464 00:24:06,720 --> 00:24:08,760 Speaker 7: no comment on that, sort of saying, look, you got 465 00:24:08,760 --> 00:24:11,640 Speaker 7: to be careful about this that it may reflect well 466 00:24:11,680 --> 00:24:13,200 Speaker 7: some imperfections in the sample. 467 00:24:13,400 --> 00:24:15,800 Speaker 2: O come on and it's a great work of anaalong 468 00:24:16,200 --> 00:24:17,639 Speaker 2: to help us out. I want to get back in 469 00:24:17,720 --> 00:24:19,560 Speaker 2: the time we've got left, Steve Angler. I want to 470 00:24:19,560 --> 00:24:24,159 Speaker 2: get back to your arch call of euro weakness, and 471 00:24:24,440 --> 00:24:29,200 Speaker 2: it's Robert Schiller at Yale, Marty Feldstein, years and years, 472 00:24:29,280 --> 00:24:33,520 Speaker 2: just a challenged euro experiment. We've got We're looking at 473 00:24:33,520 --> 00:24:37,400 Speaker 2: the six Republic of France, depending on how that works out, 474 00:24:37,840 --> 00:24:41,959 Speaker 2: London and complete chaos in the United Kingdom is well, 475 00:24:43,119 --> 00:24:47,960 Speaker 2: how does that push euro weaker? If there's geopolitical upset 476 00:24:48,240 --> 00:24:50,840 Speaker 2: in euro give us a target there? Are you framing 477 00:24:51,320 --> 00:24:53,560 Speaker 2: one fifteen or do you go back to parody? 478 00:24:53,800 --> 00:24:56,040 Speaker 7: So we have one twelve by the middle of next 479 00:24:56,119 --> 00:24:58,960 Speaker 7: year and we basically keep it there. I think what 480 00:24:59,040 --> 00:25:04,199 Speaker 7: the market is under estimating is the ECB's willingness to 481 00:25:04,240 --> 00:25:07,720 Speaker 7: cut raids. The market basically has things flat. We have 482 00:25:07,800 --> 00:25:11,199 Speaker 7: another cut in in Q four coming or the end 483 00:25:11,200 --> 00:25:14,800 Speaker 7: of Q four. But I think the ECB is likely 484 00:25:14,840 --> 00:25:18,199 Speaker 7: to be much more reactive to weak data than the 485 00:25:18,240 --> 00:25:18,840 Speaker 7: market is now. 486 00:25:18,960 --> 00:25:21,880 Speaker 2: Is that because they enjoy a lower nominal GDP set, 487 00:25:21,920 --> 00:25:25,280 Speaker 2: they just simply have room to move without upsetting the system. 488 00:25:25,680 --> 00:25:29,600 Speaker 7: You know, inflation isn't the problem, but the right wing 489 00:25:29,640 --> 00:25:31,720 Speaker 7: politics are a problem, and I think that they in 490 00:25:31,800 --> 00:25:34,720 Speaker 7: so far as they could push back against it with 491 00:25:34,800 --> 00:25:36,080 Speaker 7: stronger growth, they're going to do it. 492 00:25:36,200 --> 00:25:38,280 Speaker 2: But we have right wing politics in America, and I 493 00:25:38,320 --> 00:25:40,639 Speaker 2: believe we have a financial boom going on. 494 00:25:41,880 --> 00:25:45,439 Speaker 7: I think right now the ECB seeds that, well, a, 495 00:25:45,600 --> 00:25:48,160 Speaker 7: there's not a financial boom in Europe, but I think 496 00:25:48,200 --> 00:25:51,560 Speaker 7: the ECB seeds itself is part of the you know, 497 00:25:51,600 --> 00:25:56,159 Speaker 7: European political framework, and you know they, you know, the 498 00:25:56,400 --> 00:25:59,919 Speaker 7: sort of center of gravity in Europe is for more unification, 499 00:26:00,160 --> 00:26:02,040 Speaker 7: not the sort of right wing agenda, and I think 500 00:26:02,040 --> 00:26:06,480 Speaker 7: that they're trying to make it easier to stay at 501 00:26:06,480 --> 00:26:06,919 Speaker 7: the center. 502 00:26:07,440 --> 00:26:11,240 Speaker 4: So the Eurozone economy continues to underperform. Is the FX 503 00:26:11,280 --> 00:26:14,800 Speaker 4: market then reacting to current data or more forward looking 504 00:26:15,080 --> 00:26:17,320 Speaker 4: expectations in your view? 505 00:26:18,200 --> 00:26:22,360 Speaker 7: You know, I think the the FX market has been 506 00:26:22,680 --> 00:26:25,960 Speaker 7: very focused on what Donald Trump does, and you know 507 00:26:26,240 --> 00:26:28,800 Speaker 7: too much in the sense that even Trump laughs that 508 00:26:28,920 --> 00:26:32,439 Speaker 7: kind of you know, the seriousness, the literal and the 509 00:26:32,520 --> 00:26:35,760 Speaker 7: degree of literal interpretation they take of every policy move 510 00:26:35,840 --> 00:26:38,920 Speaker 7: that he makes, which he knows he's prepared to pull back. 511 00:26:38,960 --> 00:26:41,280 Speaker 2: I got to get this in your frame out right now, 512 00:26:41,320 --> 00:26:43,840 Speaker 2: your euro dollar call, just to give global Wall Street 513 00:26:43,880 --> 00:26:46,320 Speaker 2: scope and skill. Yeah, well, I. 514 00:26:46,240 --> 00:26:48,560 Speaker 7: Think we expect one fifteen at the end of this year, 515 00:26:48,600 --> 00:26:50,240 Speaker 7: when twelve at the middle of next year. 516 00:26:50,280 --> 00:26:50,840 Speaker 2: One twelve? 517 00:26:50,800 --> 00:26:51,040 Speaker 7: Really? 518 00:26:51,760 --> 00:26:55,640 Speaker 2: Okay? Wow? Is that upset that up? This has been wonderful. 519 00:26:55,640 --> 00:26:59,959 Speaker 2: Can you do this tomorrow at your Beckon call? Steven Agler, 520 00:27:00,119 --> 00:27:02,199 Speaker 2: thank you so much for the standard Charter Bank. I 521 00:27:02,240 --> 00:27:06,199 Speaker 2: just can't say enough, folks, his ability to synthesize in 522 00:27:07,040 --> 00:27:10,440 Speaker 2: all of our global system. Stay with us. More from 523 00:27:10,480 --> 00:27:20,200 Speaker 2: Bloomberg Surveillance coming up after this. 524 00:27:20,200 --> 00:27:24,120 Speaker 1: This is the Bloomberg Surveillance podcast. Listen live each weekday 525 00:27:24,160 --> 00:27:27,480 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 526 00:27:27,560 --> 00:27:30,560 Speaker 1: with the Bloomberg Business app. You can also listen live 527 00:27:30,600 --> 00:27:34,199 Speaker 1: on Amazon Alexa from our flagship New York station, Just 528 00:27:34,240 --> 00:27:37,040 Speaker 1: say Alexa play Bloomberg eleven thirty folks. 529 00:27:37,080 --> 00:27:38,680 Speaker 2: I don't do enough of this. I'm not going to 530 00:27:38,760 --> 00:27:41,960 Speaker 2: mince words. It's the cottage industry up in Boston, the 531 00:27:42,119 --> 00:27:46,119 Speaker 2: leadership up in Boston within the financial business of trying 532 00:27:46,160 --> 00:27:48,280 Speaker 2: to figure out retirement. This goes back well to World 533 00:27:48,359 --> 00:27:53,120 Speaker 2: War Two, back to Arisa of nineteen seventy four as well. 534 00:27:53,280 --> 00:27:57,479 Speaker 2: It's work at Boston College and their retirement work, and 535 00:27:57,640 --> 00:28:01,520 Speaker 2: also at the Massachusetts Institute of Technology. They have the 536 00:28:01,760 --> 00:28:04,480 Speaker 2: mit Age Lab. They're the ones that send me a 537 00:28:04,480 --> 00:28:07,359 Speaker 2: note every year and say you're one year older, joining 538 00:28:07,400 --> 00:28:11,639 Speaker 2: us now driving our study of retirement, Wayne Park. He 539 00:28:11,800 --> 00:28:15,960 Speaker 2: is with Manual Life, John Hancock Retirement. We're thrilled he 540 00:28:15,960 --> 00:28:19,000 Speaker 2: could join us. This morning, Wayne, you got out a 541 00:28:19,040 --> 00:28:22,040 Speaker 2: new report and it's the fact John Tucker and I 542 00:28:22,119 --> 00:28:24,880 Speaker 2: are going to be working here till we're ninety two. 543 00:28:25,440 --> 00:28:29,199 Speaker 2: How bad is our longevity? Longevity? How much do we 544 00:28:29,320 --> 00:28:32,280 Speaker 2: not understand how long we're going to live? 545 00:28:34,119 --> 00:28:35,959 Speaker 8: Good morning, Tom, and thank you for having me and 546 00:28:36,119 --> 00:28:38,680 Speaker 8: I think you'd be working till ninety regardless of this report. 547 00:28:39,000 --> 00:28:42,920 Speaker 8: Having listening to you for a while. So the study 548 00:28:43,000 --> 00:28:46,040 Speaker 8: is a new one. As you mentioned, with mit Age Lab, 549 00:28:46,080 --> 00:28:48,840 Speaker 8: we wanted to take a more holistic look at retirement 550 00:28:48,880 --> 00:28:53,880 Speaker 8: beyond just finance and health. So it's the LPI stands 551 00:28:53,920 --> 00:28:57,440 Speaker 8: for Longevity Preparedness Index, and are we really prepared not 552 00:28:57,560 --> 00:29:00,920 Speaker 8: just to retire as a singular act, but prepared to 553 00:29:00,960 --> 00:29:03,720 Speaker 8: live very long life, which is really good news, But 554 00:29:04,200 --> 00:29:05,560 Speaker 8: some of us are less prepared. 555 00:29:06,040 --> 00:29:08,480 Speaker 2: I've always said there's a kink at age forty two. 556 00:29:08,600 --> 00:29:12,080 Speaker 2: We finally get serious about retirement. At forty two. Are 557 00:29:12,120 --> 00:29:17,160 Speaker 2: the younger kids learning from our lousy retirement history to 558 00:29:17,280 --> 00:29:22,600 Speaker 2: start saving earlier? Is Isabelle leading the way by saving earlier? 559 00:29:24,560 --> 00:29:27,000 Speaker 8: I would like to say yes, but I think they 560 00:29:27,040 --> 00:29:31,640 Speaker 8: trends continue. So the younger generations, just with the immediate needs, 561 00:29:31,800 --> 00:29:34,600 Speaker 8: whether that's student loan or just attention span, is not 562 00:29:34,960 --> 00:29:38,080 Speaker 8: where we see the most prepared. That still continues to 563 00:29:38,080 --> 00:29:41,880 Speaker 8: be just before retirement age pre retirees and retirees having 564 00:29:41,960 --> 00:29:44,160 Speaker 8: been gone through some of the thought process. 565 00:29:44,640 --> 00:29:45,840 Speaker 2: But there's some bright spots. 566 00:29:47,200 --> 00:29:51,200 Speaker 8: There are places where the American score highest is around 567 00:29:51,240 --> 00:29:54,320 Speaker 8: social connections. So great to stay connected, whether that's directly 568 00:29:54,360 --> 00:29:58,480 Speaker 8: in person, phone, social media, what have you, and community. 569 00:29:58,520 --> 00:30:01,640 Speaker 8: Are you at a place where you have access to facilities, 570 00:30:01,680 --> 00:30:06,040 Speaker 8: whether that's healthcare, great food sources, fresh produce and things 571 00:30:06,080 --> 00:30:09,160 Speaker 8: like that, and transportation, which is really important as you 572 00:30:09,200 --> 00:30:10,080 Speaker 8: get older as well. 573 00:30:10,160 --> 00:30:13,480 Speaker 5: Those are lifestyle things as it well, yeah, and how. 574 00:30:13,320 --> 00:30:15,840 Speaker 2: Can you afford it if you can't afford the groceries 575 00:30:15,960 --> 00:30:16,520 Speaker 2: is the heart of them. 576 00:30:16,600 --> 00:30:18,000 Speaker 5: I feel like they're all interconnected. 577 00:30:18,040 --> 00:30:20,520 Speaker 4: And Wayne has made the point that working with a 578 00:30:20,520 --> 00:30:25,120 Speaker 4: financial advisor who discusses longevity planning makes a meaningful difference. 579 00:30:25,160 --> 00:30:28,280 Speaker 4: But what exactly does good longevity planning look like? Because 580 00:30:28,320 --> 00:30:31,360 Speaker 4: as we've pointed out, it's not just I thought it 581 00:30:31,400 --> 00:30:33,520 Speaker 4: was just money to be friend, but it seems like 582 00:30:33,560 --> 00:30:33,840 Speaker 4: it's not. 583 00:30:35,920 --> 00:30:39,200 Speaker 8: Yeah, So our study shows that someone that actually has 584 00:30:39,240 --> 00:30:42,480 Speaker 8: a financial advisor, that's not surprising, is probably better prepared. 585 00:30:43,040 --> 00:30:46,920 Speaker 8: But if that financial advisor talks about longevity planning, they 586 00:30:46,960 --> 00:30:51,440 Speaker 8: score solid seven points higher than the US average. So 587 00:30:51,520 --> 00:30:54,480 Speaker 8: what are those things? And yeah, we typically talk about 588 00:30:54,480 --> 00:30:57,760 Speaker 8: do you have enough money saved? And sometimes health, but 589 00:30:57,800 --> 00:31:01,280 Speaker 8: there's actually six other domains like are you planning to 590 00:31:01,360 --> 00:31:05,360 Speaker 8: have daily activities so that you can get used to networking? 591 00:31:05,680 --> 00:31:09,920 Speaker 8: Is your home prepared so things like you have too 592 00:31:09,960 --> 00:31:12,360 Speaker 8: much stairs or even little things that you can do. 593 00:31:13,840 --> 00:31:15,520 Speaker 2: And you're not going to tell us to get rid 594 00:31:15,560 --> 00:31:19,600 Speaker 2: of the dogs, right, dogs? Yeah, because you trip over 595 00:31:19,640 --> 00:31:22,160 Speaker 2: the dogs. That's how everybody breaks her. Like the first 596 00:31:22,240 --> 00:31:25,120 Speaker 2: time you're saying we can keep the dogs right. 597 00:31:25,400 --> 00:31:28,080 Speaker 8: I think yeah, depends on the size of the house. Actually, 598 00:31:28,080 --> 00:31:30,120 Speaker 8: I was visiting a friend this weekend and I miss 599 00:31:30,480 --> 00:31:33,000 Speaker 8: stepped on the tiny little dog that was constantly on 600 00:31:33,040 --> 00:31:36,880 Speaker 8: my feet. But maybe larger dogs will be better. But 601 00:31:37,000 --> 00:31:42,160 Speaker 8: other things like like I mentioned the community, but place 602 00:31:42,160 --> 00:31:46,040 Speaker 8: where we scored the lowest as Americans was talking about 603 00:31:46,160 --> 00:31:48,560 Speaker 8: care because at one point, one way or the other, 604 00:31:48,680 --> 00:31:51,680 Speaker 8: we will either need care or provide care to somebody else. 605 00:31:52,280 --> 00:31:55,360 Speaker 8: So that's one area I think. As Thanksgiving is coming up, 606 00:31:55,400 --> 00:31:58,320 Speaker 8: maybe if you want to have an awkward, equally awkward 607 00:31:58,360 --> 00:32:01,880 Speaker 8: but more productive conversation with your family who is going 608 00:32:01,960 --> 00:32:05,920 Speaker 8: to take care of you depending on whatever the health 609 00:32:05,920 --> 00:32:07,440 Speaker 8: ailements may be later in life. 610 00:32:07,520 --> 00:32:10,240 Speaker 4: What's one thing every listener should do this week? I 611 00:32:10,280 --> 00:32:13,160 Speaker 4: guess to improve their longevity preparedness so that you know, 612 00:32:13,240 --> 00:32:16,320 Speaker 4: the people in the circular table could take note as 613 00:32:16,320 --> 00:32:16,800 Speaker 4: well as me. 614 00:32:18,240 --> 00:32:20,960 Speaker 8: Yeah, to end on a really hopefully positive note. The 615 00:32:21,000 --> 00:32:23,280 Speaker 8: good news is we're living longer, right, so we want 616 00:32:23,280 --> 00:32:25,520 Speaker 8: to make sure we prepare for that longer life. And 617 00:32:25,560 --> 00:32:29,200 Speaker 8: it's not just longer, but a better life. So simple 618 00:32:29,280 --> 00:32:33,000 Speaker 8: things like making sure you have your annual checkup, planning 619 00:32:33,080 --> 00:32:36,360 Speaker 8: to talk about care, finding some other things to do, 620 00:32:36,400 --> 00:32:38,400 Speaker 8: whether it's a hobby, to make sure that you have 621 00:32:38,480 --> 00:32:44,320 Speaker 8: daily activities, and then just thinking about preparing for a 622 00:32:44,360 --> 00:32:47,640 Speaker 8: life that's not going to just change into retirement as 623 00:32:47,680 --> 00:32:51,080 Speaker 8: a binary event at sixty five, but you'll have a longer, 624 00:32:51,120 --> 00:32:53,360 Speaker 8: hopefully better life, and you want to thrive in those 625 00:32:53,440 --> 00:32:55,880 Speaker 8: later years. So trying to end on a positive note, 626 00:32:56,200 --> 00:32:58,120 Speaker 8: what are those things that you could be thinking about 627 00:32:58,200 --> 00:33:00,280 Speaker 8: and then maybe have a conversation with your life ones. 628 00:33:00,320 --> 00:33:01,680 Speaker 8: I think that's a really good way to end it. 629 00:33:01,760 --> 00:33:03,920 Speaker 2: You gotta run Wing Park. Thank you so much. Please 630 00:33:03,960 --> 00:33:06,080 Speaker 2: come to our studios in New York when you're in 631 00:33:06,120 --> 00:33:08,360 Speaker 2: town with many in your life. Johnny Ncock and the 632 00:33:08,480 --> 00:33:13,480 Speaker 2: mit Age Lab an important study on We're living Forever. 633 00:33:14,840 --> 00:33:19,680 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 634 00:33:19,800 --> 00:33:24,080 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 635 00:33:24,200 --> 00:33:27,680 Speaker 1: seven to ten am Eastern on Bloomberg dot Com, the 636 00:33:27,760 --> 00:33:31,800 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 637 00:33:31,840 --> 00:33:35,200 Speaker 1: can also watch us live every weekday on YouTube and 638 00:33:35,400 --> 00:33:37,120 Speaker 1: always on the Bloomberg Terminal