1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,520 Speaker 1: with essential market moving news. Fund The Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,960 Speaker 1: at Bloomberg dot com Slash podcast. Looking at Bitcoin up 7 00:00:23,000 --> 00:00:26,920 Speaker 1: one point five sixteen thousand, six hundreds, still way way 8 00:00:26,960 --> 00:00:29,480 Speaker 1: below that support level it seemed to be at forever 9 00:00:29,520 --> 00:00:33,320 Speaker 1: of dollars photographer. It's been a wild ride for the cryptospace, 10 00:00:33,320 --> 00:00:35,320 Speaker 1: and we want to break it down with some experts 11 00:00:35,360 --> 00:00:38,800 Speaker 1: here Mike mclogan's senior commodity strategist with Bloomberg Intelligence, and 12 00:00:38,840 --> 00:00:41,760 Speaker 1: Katie Greifeld, cross Asset reporter or Bloomberg News. They are 13 00:00:41,800 --> 00:00:45,920 Speaker 1: both in our Bloomberg Interactive Broker studio. Thank goodness, Thank goodness, 14 00:00:46,000 --> 00:00:48,160 Speaker 1: I have some things I need to get off my check. 15 00:00:48,360 --> 00:00:52,640 Speaker 1: Do you go all right? First of all, cz guys 16 00:00:52,760 --> 00:00:56,520 Speaker 1: has suggested some kind of lender of last resort fund right? 17 00:00:56,840 --> 00:00:59,560 Speaker 1: Is he gonna next suggest some kind of central bank 18 00:00:59,680 --> 00:01:02,320 Speaker 1: that will print bitcoin whenever they're needed? I mean, does 19 00:01:02,320 --> 00:01:07,080 Speaker 1: he not understand the idea that the origins of cryptocurrency, Mike, 20 00:01:07,080 --> 00:01:09,679 Speaker 1: does it not bother you? It does. And I've actually 21 00:01:09,800 --> 00:01:12,600 Speaker 1: this weekend was so much of that kind of information around. 22 00:01:12,600 --> 00:01:15,040 Speaker 1: I deliberately try to ignore it because it it gets 23 00:01:15,120 --> 00:01:17,800 Speaker 1: past what really matters. Now, this is just digging into 24 00:01:18,200 --> 00:01:20,560 Speaker 1: what person who turned out to be duked us all, 25 00:01:20,800 --> 00:01:24,800 Speaker 1: including me um And but you didn't have any money 26 00:01:24,840 --> 00:01:27,440 Speaker 1: on FTX did I didn't, And I'm not allowed to 27 00:01:27,480 --> 00:01:29,959 Speaker 1: invest a lot in cryptos. I can invest the minimus amounts, 28 00:01:29,959 --> 00:01:32,319 Speaker 1: so I have a lot of just changes small amounts. 29 00:01:32,560 --> 00:01:34,120 Speaker 1: I didn't. But the key thing would start with first 30 00:01:34,120 --> 00:01:36,480 Speaker 1: of all, Bitcoin is actually down on the on the 31 00:01:36,600 --> 00:01:39,119 Speaker 1: day because what you see in the screen was from yesterday, 32 00:01:39,520 --> 00:01:42,000 Speaker 1: and that's it's always messes me up on Monday's. So 33 00:01:42,000 --> 00:01:44,319 Speaker 1: it's actually it's actually down about one or two percent 34 00:01:44,640 --> 00:01:47,240 Speaker 1: on the week because you have to compare Apple's apps. Okay, 35 00:01:47,280 --> 00:01:50,080 Speaker 1: you're saying from Friday's Fridays, but that's the thing to 36 00:01:50,160 --> 00:01:52,880 Speaker 1: remember about. People are realizing this thing never stops trading. 37 00:01:53,240 --> 00:01:55,480 Speaker 1: So and I'll also point out what so it really 38 00:01:55,560 --> 00:01:58,520 Speaker 1: might me dig into what's happened so far as cryptos 39 00:01:58,520 --> 00:01:59,800 Speaker 1: have gone down a lot. But if you look at 40 00:01:59,800 --> 00:02:03,200 Speaker 1: the Bloomberg Galaxy crypto indic, since this whole thing started 41 00:02:03,440 --> 00:02:05,800 Speaker 1: end of two thousand nineteen, it's still up two so 42 00:02:05,840 --> 00:02:09,480 Speaker 1: we can drop, it's still up, so I can drop 43 00:02:09,520 --> 00:02:12,239 Speaker 1: fifty and still percent it's still be in the nantics. 44 00:02:12,240 --> 00:02:15,160 Speaker 1: So it's just maximum performance going back down. But what 45 00:02:15,280 --> 00:02:18,080 Speaker 1: I see coming out of this is more regulation. What 46 00:02:18,160 --> 00:02:22,840 Speaker 1: more regulation means institutions need that more centralization is what 47 00:02:22,880 --> 00:02:24,680 Speaker 1: they need. What you're saying right, this is what the 48 00:02:24,720 --> 00:02:30,160 Speaker 1: decentralized financial world needs, Katie, Uh, your crypto native or 49 00:02:30,160 --> 00:02:34,360 Speaker 1: at least digitally native digital. When you and your cohort 50 00:02:34,880 --> 00:02:38,679 Speaker 1: um want to buy trustless currency, um, do you then 51 00:02:39,040 --> 00:02:42,000 Speaker 1: leave it on someone else's in someone else's wallet? Do 52 00:02:42,040 --> 00:02:44,799 Speaker 1: you let somebody else have the keys? Why do people 53 00:02:44,840 --> 00:02:47,960 Speaker 1: not take their crypto immediately, put it in their own 54 00:02:47,960 --> 00:02:50,760 Speaker 1: walls and take it offline. I will not speak for myself, 55 00:02:50,800 --> 00:02:53,680 Speaker 1: as I am a journalist and like Mike can't not 56 00:02:53,880 --> 00:02:56,919 Speaker 1: really invest in cryptocurrency. But when I talk to my appears, 57 00:02:57,000 --> 00:02:59,920 Speaker 1: for example, I mean a lot of them, the one 58 00:03:00,160 --> 00:03:02,840 Speaker 1: who are crypto curious. They went through the likes of 59 00:03:02,880 --> 00:03:06,160 Speaker 1: coin base for example, maybe Robin hood. But what's interesting 60 00:03:06,240 --> 00:03:09,639 Speaker 1: now is that you're seeing billions of dollars from exchanges 61 00:03:09,720 --> 00:03:12,480 Speaker 1: because no one really trusts them. I mean, people are 62 00:03:12,520 --> 00:03:15,400 Speaker 1: going into cold storage they want their keys back. I 63 00:03:15,440 --> 00:03:17,880 Speaker 1: think f t X is a great example of why 64 00:03:18,000 --> 00:03:20,880 Speaker 1: if you're a hardcore bitcoin believer, maybe you don't want 65 00:03:20,880 --> 00:03:23,400 Speaker 1: to be on one of these centralized exchanges. You want 66 00:03:23,440 --> 00:03:25,639 Speaker 1: your bitcoin, you want to know where it is. So 67 00:03:25,760 --> 00:03:27,960 Speaker 1: there you go. So I want to get to just 68 00:03:28,080 --> 00:03:32,640 Speaker 1: want angle with you, Sam Bankman Freed, what what do 69 00:03:32,720 --> 00:03:35,080 Speaker 1: we know? Was? Is there fraud there? Why is he 70 00:03:35,200 --> 00:03:38,600 Speaker 1: not in an FBI office somewhere answering questions right now? 71 00:03:38,680 --> 00:03:42,440 Speaker 1: As opposed to the Bahamas. It's an interesting question that 72 00:03:42,480 --> 00:03:44,120 Speaker 1: I don't have the answer to. Is why f t 73 00:03:44,360 --> 00:03:46,480 Speaker 1: X filed for bankruptcy in the US if they're based 74 00:03:46,480 --> 00:03:49,920 Speaker 1: in the Bahamas. I believe he's in the Bahamas. The 75 00:03:50,000 --> 00:03:52,680 Speaker 1: reporting would suggest that he is. I mean, we know 76 00:03:52,800 --> 00:03:57,840 Speaker 1: that Bahamas authorities spoke to him. That would imply physically 77 00:03:57,880 --> 00:04:00,600 Speaker 1: they're in the Bahamas. I don't el though. I mean 78 00:04:00,600 --> 00:04:04,000 Speaker 1: there's an ongo I mean, there are million questions that 79 00:04:04,080 --> 00:04:06,880 Speaker 1: we have. I'm sure Katie has the same questions even 80 00:04:06,920 --> 00:04:11,040 Speaker 1: if she had a hunch as to an answer. Probably 81 00:04:11,040 --> 00:04:13,800 Speaker 1: wouldn't want to give it to us on live radio, right, 82 00:04:14,200 --> 00:04:18,560 Speaker 1: but maybe Mike will um. I mean, how did they 83 00:04:18,600 --> 00:04:21,919 Speaker 1: have such a big eight nine billion dollar hole? Was 84 00:04:22,000 --> 00:04:26,880 Speaker 1: their fraud? Also? Who took the four to six hundred 85 00:04:26,920 --> 00:04:29,440 Speaker 1: million dollars of coins in the last couple of days? 86 00:04:29,600 --> 00:04:32,719 Speaker 1: Is anybody on the run? What can you tell us? 87 00:04:32,760 --> 00:04:35,760 Speaker 1: I think the word first world is illegal co mingling? 88 00:04:35,880 --> 00:04:37,960 Speaker 1: Now how we've heard this in future since I've been 89 00:04:38,000 --> 00:04:39,840 Speaker 1: in the business, and you've seen firms going there. It's 90 00:04:39,880 --> 00:04:43,960 Speaker 1: just a different level, different people, different time. And LaMDA 91 00:04:44,040 --> 00:04:46,320 Speaker 1: was a research arm, which was they say they were 92 00:04:46,400 --> 00:04:49,280 Speaker 1: channeling of customer funds. Apparently they might have been channeling 93 00:04:49,279 --> 00:04:53,040 Speaker 1: customer funds into campaign donations to the Binding compaign. Number 94 00:04:53,120 --> 00:04:56,799 Speaker 1: number two donator to the Binding camp campaign was SPF. 95 00:04:57,440 --> 00:04:59,720 Speaker 1: So oh yeah, so it's it's shocking that way. And 96 00:04:59,760 --> 00:05:01,880 Speaker 1: see ze, by the way, it was an ex Bloomberg employee, 97 00:05:01,880 --> 00:05:04,120 Speaker 1: so we have had quality from X Bloomberg employees coming 98 00:05:04,120 --> 00:05:07,560 Speaker 1: from c Z. I did not know that. Wow, all right, Mike, 99 00:05:07,880 --> 00:05:10,560 Speaker 1: you're in Miami not just because you love the warm 100 00:05:10,560 --> 00:05:13,480 Speaker 1: weather and you had enough a Connecticut But let's face 101 00:05:13,480 --> 00:05:15,880 Speaker 1: it in the crypto world. They're trying to establish themselves 102 00:05:15,920 --> 00:05:20,000 Speaker 1: as a a physical leading space where the smart crypto 103 00:05:20,279 --> 00:05:23,839 Speaker 1: people go. Given that backdrop, what's the feeling out of 104 00:05:23,839 --> 00:05:26,040 Speaker 1: Miami over the past three or four or five days. 105 00:05:26,400 --> 00:05:28,240 Speaker 1: Are people just kind of throwing their hands up, like 106 00:05:28,360 --> 00:05:30,520 Speaker 1: what do we get ourselves into? Or I'm not sensing 107 00:05:30,560 --> 00:05:33,320 Speaker 1: that public? Give you one example, MasterCard. A good friend 108 00:05:33,320 --> 00:05:35,000 Speaker 1: of mine who is a former New York you know 109 00:05:35,080 --> 00:05:37,400 Speaker 1: Wall Street guy, just moved to Miami to work for 110 00:05:37,480 --> 00:05:40,440 Speaker 1: MasterCard in cryptos. That's how things are changing. Two years 111 00:05:40,480 --> 00:05:43,040 Speaker 1: ago that that sentence, what would have been an oxymoron. 112 00:05:43,360 --> 00:05:45,440 Speaker 1: So I think the big just did and he's getting 113 00:05:45,440 --> 00:05:47,800 Speaker 1: a pink slip tomorrow. Well that's the problem. But here's 114 00:05:47,839 --> 00:05:50,080 Speaker 1: the thing that's happening. One thing that's you look at Ethereum. 115 00:05:50,080 --> 00:05:52,800 Speaker 1: Athereum is up one thousand or ten x since two 116 00:05:52,800 --> 00:05:55,000 Speaker 1: thousand nineteen. Sure it's dropped a lot, but you know 117 00:05:55,080 --> 00:05:57,680 Speaker 1: it started a hundred now just over a thousand. What 118 00:05:57,920 --> 00:06:00,839 Speaker 1: is it doing. It's revelized the revolution is in fintech 119 00:06:01,320 --> 00:06:04,000 Speaker 1: and like it makes possible the most white Trady cryptos. 120 00:06:04,000 --> 00:06:06,240 Speaker 1: It's the dollar crypto door. So I think it's gonna 121 00:06:06,240 --> 00:06:08,719 Speaker 1: bring on US regulation. But the US realizes this is 122 00:06:08,760 --> 00:06:11,159 Speaker 1: making the base layer for the whole world to be 123 00:06:11,200 --> 00:06:13,479 Speaker 1: a cryptos. The dollar and Ethereum is doing that, so 124 00:06:13,520 --> 00:06:16,560 Speaker 1: people get the technology. This is a major sell, but 125 00:06:16,640 --> 00:06:18,400 Speaker 1: it's just a bump in the road I've seen in 126 00:06:18,480 --> 00:06:20,479 Speaker 1: terms of what I love that perspective because I don't 127 00:06:20,520 --> 00:06:24,520 Speaker 1: have that perspective a last week. Right, we gotta get 128 00:06:24,520 --> 00:06:27,200 Speaker 1: Mike and Cameron cries On together because they disagree like 129 00:06:27,240 --> 00:06:31,960 Speaker 1: a hundred and I was playing that. Alright, Alright, guys, 130 00:06:32,000 --> 00:06:34,240 Speaker 1: that's good stuff. We'll gonna keep on top of this story. 131 00:06:34,240 --> 00:06:36,040 Speaker 1: And we can do that because we got some really 132 00:06:36,040 --> 00:06:38,560 Speaker 1: smart people that have experience in this space and that 133 00:06:38,720 --> 00:06:41,400 Speaker 1: is hard to find around there. Mike McLoone, Senior Commodity 134 00:06:41,440 --> 00:06:45,159 Speaker 1: Strategies with Bloomberg Intelligence. He's been dealing and trading commodities 135 00:06:45,200 --> 00:06:47,840 Speaker 1: forever and that's what crypto is for a lot of folks. 136 00:06:47,880 --> 00:06:50,919 Speaker 1: And Katie Gray Felt Cross Asset, Cross Asset Reporter and 137 00:06:50,920 --> 00:06:53,920 Speaker 1: that now includes a crypto. She does that with Bloomberg News. 138 00:06:57,000 --> 00:06:58,599 Speaker 1: We take a look at some of the price action 139 00:06:58,800 --> 00:07:01,440 Speaker 1: of last week, particularly towards the end of the weekend 140 00:07:01,480 --> 00:07:04,120 Speaker 1: that big Thursday rip kind of brings back that bowl 141 00:07:04,200 --> 00:07:06,640 Speaker 1: call that's been out there for a while, which is, 142 00:07:06,839 --> 00:07:09,880 Speaker 1: you know, these risk on assets can work late into 143 00:07:09,920 --> 00:07:13,400 Speaker 1: the year, maybe rally towards the year because we've seen 144 00:07:13,560 --> 00:07:17,640 Speaker 1: peak interest rates, we've seen peak inflation. Uh, earnings have 145 00:07:17,720 --> 00:07:20,000 Speaker 1: come down, they've been reset. Maybe this is kind of 146 00:07:20,000 --> 00:07:22,920 Speaker 1: sets you for good clothes. Sean O'Hara, President of pac 147 00:07:22,960 --> 00:07:25,000 Speaker 1: your et S. Sean, what do you think of that 148 00:07:25,040 --> 00:07:27,520 Speaker 1: calls out a little naive or or do you in 149 00:07:27,600 --> 00:07:30,240 Speaker 1: fact think that maybe a lot of the headwinds are 150 00:07:30,240 --> 00:07:32,480 Speaker 1: starting to abate and it might be time to take 151 00:07:32,480 --> 00:07:37,440 Speaker 1: on some more risk. Wel, good morning, Thanks for having me. Um. 152 00:07:37,480 --> 00:07:39,680 Speaker 1: I think it's a little premature to to to sort 153 00:07:39,680 --> 00:07:41,440 Speaker 1: of make that call, you know. I mean, it's just 154 00:07:41,480 --> 00:07:43,840 Speaker 1: doing some simple math. If you if you think the 155 00:07:44,000 --> 00:07:46,640 Speaker 1: SMP is gonna earn like, you know, two thirty bucks 156 00:07:46,680 --> 00:07:49,960 Speaker 1: next year, we're still trading at a level that's probably 157 00:07:50,080 --> 00:07:53,720 Speaker 1: higher on a pe basis than perhaps the market should be. 158 00:07:53,760 --> 00:07:56,720 Speaker 1: But that's the whole market. And so I think the big, 159 00:07:56,760 --> 00:08:00,440 Speaker 1: the big drag on that is potentially going to be tech. Uh, 160 00:08:00,520 --> 00:08:03,240 Speaker 1: you know, tech is as a sector the last six 161 00:08:03,320 --> 00:08:05,880 Speaker 1: years have seen their stock prices go up about fifty 162 00:08:05,960 --> 00:08:09,000 Speaker 1: percent more than their earnings, whereas the rest of the 163 00:08:09,040 --> 00:08:11,440 Speaker 1: market has sort of adjusted itself in its healthcare as 164 00:08:11,480 --> 00:08:14,000 Speaker 1: an example, Actually the stocks in the healthcare sector have 165 00:08:14,080 --> 00:08:16,160 Speaker 1: gone up less than their earnings the last six years. 166 00:08:16,720 --> 00:08:20,160 Speaker 1: There are pockets of opportunity. I wouldn't be making a 167 00:08:20,200 --> 00:08:22,240 Speaker 1: broad market call that, you know, things are going to 168 00:08:22,360 --> 00:08:24,880 Speaker 1: go back to the way they were, and that inflation 169 00:08:24,960 --> 00:08:27,520 Speaker 1: is not a problem anymore, and inflation is going to 170 00:08:27,600 --> 00:08:29,960 Speaker 1: continue to be stubborn. You know, we saw a minor 171 00:08:30,800 --> 00:08:33,160 Speaker 1: decrease in the year over year increase, and I think 172 00:08:33,200 --> 00:08:35,679 Speaker 1: everybody took that to mean, well, you know, we just 173 00:08:35,720 --> 00:08:37,199 Speaker 1: have to have a couple more months and this is 174 00:08:37,240 --> 00:08:38,880 Speaker 1: all over with and we're back to the races. I 175 00:08:38,920 --> 00:08:41,320 Speaker 1: don't think it's going to play out that way. So, 176 00:08:41,520 --> 00:08:45,680 Speaker 1: but there are sectors you find attractive, healthcare being one 177 00:08:45,720 --> 00:08:50,200 Speaker 1: of them, um energy another. These are obviously huge pieces 178 00:08:50,240 --> 00:08:53,760 Speaker 1: of the inflation picture. I mean healthcare. I guess we 179 00:08:53,840 --> 00:08:56,040 Speaker 1: see massive inflation there all the time, even when we 180 00:08:56,080 --> 00:08:57,960 Speaker 1: don't have it in the rest of the economy. But 181 00:08:58,000 --> 00:09:00,760 Speaker 1: why do you like why do you like them? Well, 182 00:09:00,800 --> 00:09:04,000 Speaker 1: we we have a large cap fund ceow Z and 183 00:09:04,040 --> 00:09:06,400 Speaker 1: our et F family. It's cash cow, that's one of 184 00:09:06,400 --> 00:09:09,480 Speaker 1: our favorites, and it's up here to date. It's up 185 00:09:09,520 --> 00:09:12,240 Speaker 1: like five percent year to date. So, uh, you know, 186 00:09:12,280 --> 00:09:15,280 Speaker 1: it's overweight energy, it's overweight healthcare and silver right materials. 187 00:09:15,320 --> 00:09:18,520 Speaker 1: It's as underweight as it's ever been consumer discretionary in tech, 188 00:09:18,600 --> 00:09:20,960 Speaker 1: and so you know, the consumer is going to be 189 00:09:21,160 --> 00:09:24,080 Speaker 1: I think in a big, big quandary here. They're gonna 190 00:09:24,080 --> 00:09:26,920 Speaker 1: get squeezed. They're going to have to make decisions. You know, 191 00:09:27,040 --> 00:09:29,080 Speaker 1: this winter, some people are gonna have to decide whether 192 00:09:29,080 --> 00:09:30,800 Speaker 1: they want to eat or heat their house. I mean, 193 00:09:30,840 --> 00:09:33,240 Speaker 1: I think, you know, the Thanksgiving holiday is going to 194 00:09:33,280 --> 00:09:34,880 Speaker 1: be a big shocker to people in terms of how 195 00:09:34,920 --> 00:09:36,520 Speaker 1: much more it's going to cost this year. But when 196 00:09:36,520 --> 00:09:40,160 Speaker 1: you look at detectors like energy or healthcare, they're trading 197 00:09:40,320 --> 00:09:44,480 Speaker 1: in relatively inexpensive levels historically. I think the healthcare trade 198 00:09:44,520 --> 00:09:47,839 Speaker 1: is both in inflation and a demographics play. Um. You know, 199 00:09:47,880 --> 00:09:51,320 Speaker 1: the demographics and healthcare got hidden by COVID, and once 200 00:09:51,440 --> 00:09:53,280 Speaker 1: COVID is out of the way, I think that demographic 201 00:09:53,320 --> 00:09:55,600 Speaker 1: trend will pick back up. You know, as people get older, 202 00:09:55,600 --> 00:09:57,560 Speaker 1: they need more health care of the baby boomers ten 203 00:09:57,600 --> 00:10:00,120 Speaker 1: thousand people a day for the next decade or so 204 00:10:00,240 --> 00:10:03,920 Speaker 1: turning age sixty and energy is you know that they've 205 00:10:03,960 --> 00:10:06,440 Speaker 1: just got so much cash flow in the energy sector. 206 00:10:06,480 --> 00:10:08,280 Speaker 1: And I don't think that oil prices are going to 207 00:10:08,360 --> 00:10:11,960 Speaker 1: go back down. I think they're more likely to continue 208 00:10:11,960 --> 00:10:15,160 Speaker 1: to hover in this ranger or maybe maybe increase a 209 00:10:15,200 --> 00:10:17,640 Speaker 1: little as the winter months come on. So there are 210 00:10:17,679 --> 00:10:19,720 Speaker 1: plenty of places to make money. I just don't think 211 00:10:19,760 --> 00:10:21,640 Speaker 1: it's going to be the same places that people have 212 00:10:21,760 --> 00:10:23,840 Speaker 1: made money in the past, and so we accepted adjust 213 00:10:23,840 --> 00:10:27,439 Speaker 1: our expectations and our views. I don't think you can 214 00:10:27,480 --> 00:10:30,720 Speaker 1: continue to be a broad market investor. Um. You know, 215 00:10:31,040 --> 00:10:33,320 Speaker 1: Mike Wilson's a very smart guy, has been very right 216 00:10:33,360 --> 00:10:35,080 Speaker 1: on a lot of his calls. And if he's saying 217 00:10:35,120 --> 00:10:37,040 Speaker 1: that next year the SMP is going to be where 218 00:10:37,040 --> 00:10:40,120 Speaker 1: it is this year, then you just can't buy the SMP. 219 00:10:40,240 --> 00:10:42,160 Speaker 1: You've got to figure out how to find places within 220 00:10:42,200 --> 00:10:45,160 Speaker 1: the SMP to make money. So far, that's been you know, 221 00:10:45,240 --> 00:10:51,160 Speaker 1: the under you underliked or undernoticed sectors like energy, healthcare, materials, industrials, 222 00:10:51,160 --> 00:10:54,480 Speaker 1: and staples. So Sean we we we had some elections 223 00:10:54,480 --> 00:10:56,720 Speaker 1: recently and looks like we're gonna have a divided government. 224 00:10:56,760 --> 00:10:59,720 Speaker 1: A lot of folks saying that's bullish for risk assets. 225 00:10:59,720 --> 00:11:03,679 Speaker 1: Are you in that camp? I am, um, although I 226 00:11:03,720 --> 00:11:06,400 Speaker 1: don't know what the it's ultimately gonna wind up that way. 227 00:11:06,440 --> 00:11:11,640 Speaker 1: I mean I would wait waiting on Georgia. Um. I mean, well, George, 228 00:11:11,679 --> 00:11:13,679 Speaker 1: the Senate's over there, you know, the Senate, we're not. 229 00:11:13,720 --> 00:11:15,920 Speaker 1: The Republicans are going to control the sense. All that's 230 00:11:16,000 --> 00:11:17,679 Speaker 1: left is really that they can squeak out a win 231 00:11:17,760 --> 00:11:20,400 Speaker 1: in the House, and that would be you know, the 232 00:11:20,440 --> 00:11:23,760 Speaker 1: most divided of all divided governments, because all spending bills 233 00:11:23,760 --> 00:11:25,520 Speaker 1: start in the House, and so they won't you know, 234 00:11:25,559 --> 00:11:27,560 Speaker 1: with the Democrat House, they can at least make their 235 00:11:27,559 --> 00:11:30,240 Speaker 1: way to the Senate and then the ultimate to the 236 00:11:30,240 --> 00:11:32,120 Speaker 1: President's desk. I don't think there's going to be any 237 00:11:32,120 --> 00:11:34,360 Speaker 1: spending bills that will come out of the House if 238 00:11:34,360 --> 00:11:37,320 Speaker 1: it's controlled by the Republicans, and the market generally likes that. 239 00:11:38,360 --> 00:11:40,400 Speaker 1: But you have, you know, this over I don't think 240 00:11:40,400 --> 00:11:42,880 Speaker 1: you can go purely based on historical trends. You know 241 00:11:42,920 --> 00:11:45,439 Speaker 1: that every time we have you know, divided government, the 242 00:11:45,520 --> 00:11:48,560 Speaker 1: market goes up or from November to April. The markets 243 00:11:48,600 --> 00:11:51,040 Speaker 1: always up and these sort of you know, cyclical stories 244 00:11:51,120 --> 00:11:54,040 Speaker 1: or historical or trend aask trends. I think, you know, 245 00:11:54,040 --> 00:11:56,000 Speaker 1: you have to take a look at what's really going on, 246 00:11:56,080 --> 00:11:58,480 Speaker 1: and and what's really going on is that, you know, 247 00:11:58,559 --> 00:12:02,160 Speaker 1: inflation continues to be a struggle. It would wouldn't surprise 248 00:12:02,240 --> 00:12:04,679 Speaker 1: me if the FED changed its target for inflation and 249 00:12:04,760 --> 00:12:07,240 Speaker 1: moved it up a little bit since they're having such 250 00:12:07,280 --> 00:12:10,760 Speaker 1: a hard time. But they're just committed to raising rates 251 00:12:11,440 --> 00:12:14,000 Speaker 1: so much so that they are going to damp in 252 00:12:14,080 --> 00:12:16,640 Speaker 1: quote unquote demand, which means they're going to basically slow 253 00:12:16,720 --> 00:12:18,719 Speaker 1: down the economy. And the question is going to be 254 00:12:19,120 --> 00:12:20,960 Speaker 1: are they going to slow it down and have it, 255 00:12:21,040 --> 00:12:23,120 Speaker 1: you know, come to a soft landing or they have 256 00:12:23,160 --> 00:12:26,160 Speaker 1: to slow it down things come crashing down. And I think, 257 00:12:26,200 --> 00:12:28,080 Speaker 1: you know, if you base you know, your judgment on 258 00:12:28,440 --> 00:12:31,480 Speaker 1: historical you know, anomalies with them, you know, do they 259 00:12:31,520 --> 00:12:33,400 Speaker 1: ever get it right at the Fed? They very rarely 260 00:12:33,440 --> 00:12:36,160 Speaker 1: do get it right. So I will hope for better 261 00:12:36,160 --> 00:12:39,079 Speaker 1: performance coming up here. Shaun O'Hara, he's a president of 262 00:12:39,160 --> 00:12:43,640 Speaker 1: pacer Ets, hope for it, but we won't invest that. Yeah, 263 00:12:43,679 --> 00:12:45,600 Speaker 1: I think it's what said that's right. Hope for the best, 264 00:12:45,600 --> 00:12:47,240 Speaker 1: prepared for the worst. Shawn Ohara, thanks so much for 265 00:12:47,280 --> 00:12:53,199 Speaker 1: joining us your ETF shows at one End Wall Street 266 00:12:53,200 --> 00:12:55,800 Speaker 1: time today. Right, that's correct. You talk a lot butts 267 00:12:55,880 --> 00:12:58,320 Speaker 1: because that's where the money. Well, they've been huge this year, 268 00:12:58,440 --> 00:13:01,079 Speaker 1: right when you haven't seen any I, P O, S, 269 00:13:01,400 --> 00:13:05,000 Speaker 1: M and A has burned out, but E t F 270 00:13:05,120 --> 00:13:08,560 Speaker 1: launches just continue to pile in it and investors are 271 00:13:08,559 --> 00:13:11,320 Speaker 1: loving it. And some real names in terms of the 272 00:13:11,360 --> 00:13:13,600 Speaker 1: firms no larger global head of E t S at 273 00:13:13,640 --> 00:13:17,800 Speaker 1: one of those real names, Alliance Bernstein. Uh no, thanks 274 00:13:17,800 --> 00:13:20,160 Speaker 1: so much for joining us here talk to us about 275 00:13:20,440 --> 00:13:23,120 Speaker 1: active e t f s and kind of how that 276 00:13:23,160 --> 00:13:25,120 Speaker 1: plays into kind of what you guys are doing there 277 00:13:25,160 --> 00:13:28,960 Speaker 1: at Alliance Bernstein. Thanks very much for having me on 278 00:13:28,960 --> 00:13:31,080 Speaker 1: this morning. Yeah, I think you know, active ETFs are 279 00:13:31,160 --> 00:13:35,080 Speaker 1: pretty interesting part of the landscape multiple last two years. Uh, 280 00:13:35,120 --> 00:13:36,960 Speaker 1: you know, we're coming up on thirty years of et 281 00:13:37,080 --> 00:13:38,840 Speaker 1: F s in the U S. But but the active 282 00:13:38,880 --> 00:13:41,400 Speaker 1: scene is really While we've had active products in the 283 00:13:41,480 --> 00:13:43,880 Speaker 1: last fourteen fifty years, it's really popped in the last 284 00:13:43,920 --> 00:13:46,880 Speaker 1: couple of years, um for us and Alliance Bernstein. You 285 00:13:46,920 --> 00:13:49,760 Speaker 1: know this was an important step of taking some of 286 00:13:49,760 --> 00:13:51,600 Speaker 1: our best thinking and figuring out how to put it 287 00:13:51,640 --> 00:13:55,040 Speaker 1: into a vehicle that's very accessible, UM, easy for clients 288 00:13:55,040 --> 00:13:58,360 Speaker 1: to get to. Uh, just just really meeting them where 289 00:13:58,400 --> 00:14:01,000 Speaker 1: they are, and the land escape is shifted. In the 290 00:14:01,080 --> 00:14:04,520 Speaker 1: last couple of years, the SEC made some some changes 291 00:14:04,559 --> 00:14:07,079 Speaker 1: to the rule set for issuing ETPs about two and 292 00:14:07,080 --> 00:14:09,720 Speaker 1: a half years ago, and that's been a driver behind 293 00:14:09,720 --> 00:14:11,760 Speaker 1: a lot of the firms, you know, Laton like lines 294 00:14:11,800 --> 00:14:14,520 Speaker 1: Burnstein and others saying it's it's a good time to 295 00:14:14,559 --> 00:14:18,600 Speaker 1: get into this space. So, I mean, does this completely 296 00:14:18,679 --> 00:14:22,440 Speaker 1: take over? We've seen a lot of UM mutual funds 297 00:14:22,840 --> 00:14:25,560 Speaker 1: convert into e t s, which makes sense right because 298 00:14:25,600 --> 00:14:29,640 Speaker 1: you have a smaller cost basis and they're easier to trade. 299 00:14:30,640 --> 00:14:32,400 Speaker 1: Is it? Do you think the future do we do 300 00:14:32,440 --> 00:14:35,840 Speaker 1: we even need mutual funds anymore? Yeah? I think I 301 00:14:35,880 --> 00:14:37,960 Speaker 1: think there's still a place. I mean, it's very you know, 302 00:14:38,000 --> 00:14:40,480 Speaker 1: look at the trend is absolutely there that etp s 303 00:14:40,520 --> 00:14:43,960 Speaker 1: are growing continuing to take a greater and greater share 304 00:14:43,960 --> 00:14:46,600 Speaker 1: of the flows. But you think of the retirement space 305 00:14:46,640 --> 00:14:49,400 Speaker 1: where maybe a mutual funder like a collective trust structure 306 00:14:49,600 --> 00:14:52,960 Speaker 1: UM is still you know, incredibly vibrant, um other other 307 00:14:53,040 --> 00:14:56,160 Speaker 1: areas of distribution where um, you know, the et F 308 00:14:56,280 --> 00:14:59,000 Speaker 1: doesn't always fit as neatly. So I don't think. I mean, 309 00:14:59,040 --> 00:15:00,680 Speaker 1: I think since I've been in I've been doing this 310 00:15:00,720 --> 00:15:03,160 Speaker 1: for more than uh more years, and I care to 311 00:15:03,200 --> 00:15:05,840 Speaker 1: say um, and people have been sort of saying, oh, 312 00:15:05,880 --> 00:15:08,360 Speaker 1: against the end of mutual funds. But but really, you know, 313 00:15:08,760 --> 00:15:11,680 Speaker 1: we know that from the utility perspective. You know, there's 314 00:15:11,760 --> 00:15:14,680 Speaker 1: rarely a one size fits all and the space for 315 00:15:14,720 --> 00:15:18,840 Speaker 1: separate accounts for ets, for mutual funds, um, they're utilized 316 00:15:18,840 --> 00:15:21,960 Speaker 1: heavily by by investors across the well the past, you know, 317 00:15:22,040 --> 00:15:26,200 Speaker 1: et s were kind of um stealing Jack Bogel's lunch, 318 00:15:26,440 --> 00:15:29,720 Speaker 1: so to speak, because they were passive. Now, okay, Vanguard 319 00:15:29,800 --> 00:15:32,440 Speaker 1: happens to be one of the top two issuers of ets. 320 00:15:32,520 --> 00:15:35,280 Speaker 1: But um, But but and mutual funds, you know you 321 00:15:35,280 --> 00:15:38,120 Speaker 1: could have active management there, which is what kind of 322 00:15:38,160 --> 00:15:44,200 Speaker 1: separated them. Now you've got actively managed e t f s. Yeah, 323 00:15:44,280 --> 00:15:47,240 Speaker 1: and that's that's again. I think we're we're um, that's 324 00:15:47,400 --> 00:15:48,840 Speaker 1: going to be an area of growth. I mean, the 325 00:15:48,880 --> 00:15:52,320 Speaker 1: flows and ets this year we're on track, probably had 326 00:15:52,520 --> 00:15:55,400 Speaker 1: the second best flows of overall dollars into et F 327 00:15:55,520 --> 00:15:58,400 Speaker 1: and you know, it's obviously a very confused market period 328 00:15:59,080 --> 00:16:01,600 Speaker 1: over thirteen and that it's going into active et S 329 00:16:01,640 --> 00:16:03,560 Speaker 1: with again a lot of the sponsors just coming in. 330 00:16:03,640 --> 00:16:06,520 Speaker 1: So I think it's as much about putting new strategies 331 00:16:06,560 --> 00:16:08,760 Speaker 1: into the marketplace. You mentioned the conversions. I think it's 332 00:16:08,760 --> 00:16:11,920 Speaker 1: still early days for that. There's um pros and cons 333 00:16:11,960 --> 00:16:15,600 Speaker 1: to that strategy. Uh, But I think overall, if if 334 00:16:15,600 --> 00:16:19,640 Speaker 1: a manager has the ability to bring ETPs into the marketplace, um, again, 335 00:16:19,680 --> 00:16:22,280 Speaker 1: because of the the accessibility and some of the cost 336 00:16:22,360 --> 00:16:25,040 Speaker 1: and tax advantages in the US market, it's a pretty 337 00:16:25,040 --> 00:16:28,520 Speaker 1: attractive means for active managers to get some of their 338 00:16:28,520 --> 00:16:31,600 Speaker 1: best thinking out there. Hey, no, give us a sense 339 00:16:31,640 --> 00:16:35,520 Speaker 1: of you know, retail versus institutional ownership of e t s, 340 00:16:35,880 --> 00:16:37,720 Speaker 1: how has it evolved in and how do you think 341 00:16:37,720 --> 00:16:39,200 Speaker 1: it's going to play out over the next you know, 342 00:16:39,320 --> 00:16:43,360 Speaker 1: several years. Yeah, it's it's actually remarkably steady. I mean, 343 00:16:43,360 --> 00:16:45,360 Speaker 1: if if you look at at the market as a 344 00:16:45,360 --> 00:16:48,440 Speaker 1: whole um, it's tended to be almost fifty fifty, which 345 00:16:48,520 --> 00:16:49,800 Speaker 1: you know, every time I look at that, I always 346 00:16:49,800 --> 00:16:51,240 Speaker 1: think God that you know, it's kind of shift at 347 00:16:51,240 --> 00:16:54,640 Speaker 1: some point. But for new ets, the the adopters are 348 00:16:54,680 --> 00:16:56,920 Speaker 1: often you know R I A S are are a 349 00:16:56,920 --> 00:16:59,480 Speaker 1: big player that's facing investment advisors because they have that 350 00:16:59,600 --> 00:17:02,840 Speaker 1: ability to think about what it's best for their clients 351 00:17:02,600 --> 00:17:04,600 Speaker 1: for loil and what they want to put in there. 352 00:17:04,640 --> 00:17:07,879 Speaker 1: And then institutions UM love the ETFs. It's you know, 353 00:17:07,920 --> 00:17:10,680 Speaker 1: you think it's counterintuitive. A big institution could probably get 354 00:17:10,680 --> 00:17:14,640 Speaker 1: something for even lower cost or or greater um flexibility, 355 00:17:14,720 --> 00:17:17,000 Speaker 1: but they love the ETF structure for the same reasons 356 00:17:17,000 --> 00:17:19,240 Speaker 1: that the retail audience does, which is they can buy 357 00:17:19,280 --> 00:17:21,360 Speaker 1: as much or as little as they want, they can 358 00:17:21,359 --> 00:17:23,280 Speaker 1: hold it for as longer as little as they want, 359 00:17:23,359 --> 00:17:26,600 Speaker 1: and there's not sort of the gating process there to 360 00:17:26,680 --> 00:17:28,760 Speaker 1: keep them in or out of the marketplace. And so 361 00:17:28,880 --> 00:17:32,480 Speaker 1: we still see really heavy participation newer issues. Sometimes it 362 00:17:32,520 --> 00:17:34,879 Speaker 1: takes a little while for an institutional to engage, but 363 00:17:34,920 --> 00:17:38,160 Speaker 1: that's not always the case. Sometimes you'll have institutions coming 364 00:17:38,240 --> 00:17:40,359 Speaker 1: right out of the gate because it's a it's an 365 00:17:40,400 --> 00:17:43,959 Speaker 1: exposure that it's their portfolio needs. Yeah, I mean, costs 366 00:17:43,960 --> 00:17:46,520 Speaker 1: can't get much lower, right, We're talking just a handful 367 00:17:46,520 --> 00:17:49,280 Speaker 1: of basis points UM to to own a lot of 368 00:17:49,280 --> 00:17:52,720 Speaker 1: e t F s. What do you think the um 369 00:17:53,280 --> 00:17:57,000 Speaker 1: the next wave of issuance is and we we saw conversions. 370 00:17:57,040 --> 00:17:59,720 Speaker 1: There's an e t F for everything. So we've seen 371 00:17:59,800 --> 00:18:04,040 Speaker 1: it grow into um different spaces. We've even seen them 372 00:18:04,160 --> 00:18:08,239 Speaker 1: UM chop up uh you know debt levels. If so, 373 00:18:08,280 --> 00:18:11,520 Speaker 1: if you want you know, uh C minus debt exposure, 374 00:18:11,520 --> 00:18:15,640 Speaker 1: you can get that. What's what's on the horizon? Yeah, 375 00:18:15,680 --> 00:18:18,159 Speaker 1: I think that it would the entrance of of you know, 376 00:18:18,200 --> 00:18:21,119 Speaker 1: more active managers and certainly you know a aligns Furnstey 377 00:18:21,119 --> 00:18:23,720 Speaker 1: in the way we're looking at this is UM BTF 378 00:18:23,840 --> 00:18:26,639 Speaker 1: does let you get very granular if you want to 379 00:18:26,680 --> 00:18:28,640 Speaker 1: your point, you can you can go really deep in 380 00:18:28,800 --> 00:18:32,240 Speaker 1: one area or you can look at at broad market teams. 381 00:18:32,240 --> 00:18:34,679 Speaker 1: And that's pretty important. UM. If you think about, you know, 382 00:18:34,720 --> 00:18:36,720 Speaker 1: the evolution the most investors in the US, you know, 383 00:18:37,040 --> 00:18:39,480 Speaker 1: over the span of decades, it's like, well, you know, 384 00:18:39,480 --> 00:18:41,880 Speaker 1: if you like the individual security, that's great, but there's 385 00:18:41,960 --> 00:18:44,600 Speaker 1: risk theirs. So maybe by the industry, if you like industry, 386 00:18:44,600 --> 00:18:47,720 Speaker 1: by the sector. UM, you just sort of diversify your 387 00:18:47,760 --> 00:18:50,800 Speaker 1: best thinking. And I think we continue to see thematic 388 00:18:51,000 --> 00:18:54,960 Speaker 1: you know, global thematic trends playing out in portfolios, and 389 00:18:55,160 --> 00:18:57,040 Speaker 1: I think that's one of the areas of growth that 390 00:18:57,040 --> 00:18:58,840 Speaker 1: you're going to see where people think about some of 391 00:18:58,840 --> 00:19:02,800 Speaker 1: these cross sector aspects. We saw over the last couple 392 00:19:02,800 --> 00:19:05,399 Speaker 1: of years some of the concerns around supply chain and 393 00:19:05,440 --> 00:19:08,080 Speaker 1: where um, some of the great strength of the global 394 00:19:08,119 --> 00:19:11,440 Speaker 1: economy stumbled a little bit, and so what companies are 395 00:19:11,480 --> 00:19:14,040 Speaker 1: set up to take advantage of the fact that there 396 00:19:14,119 --> 00:19:16,000 Speaker 1: might be a retrench you of some of those systems 397 00:19:16,000 --> 00:19:17,760 Speaker 1: are a different way of thinking about how to move 398 00:19:18,320 --> 00:19:20,840 Speaker 1: goods and services around the globe. And I think that 399 00:19:20,880 --> 00:19:23,359 Speaker 1: type of thematic thinking is going to continue to play out, 400 00:19:23,440 --> 00:19:26,280 Speaker 1: especially in the in the active ETF space. So in 401 00:19:26,320 --> 00:19:28,560 Speaker 1: an active et F, I mean Matt was just mentioning 402 00:19:28,600 --> 00:19:31,760 Speaker 1: the low fees, But in an active et F, don't 403 00:19:31,760 --> 00:19:36,600 Speaker 1: I have to I guess, utilize an active management team, 404 00:19:36,600 --> 00:19:38,359 Speaker 1: and don't I have to pay them? How do I 405 00:19:38,440 --> 00:19:40,760 Speaker 1: keep the cost of Yeah, so I think, yeah, there's 406 00:19:40,800 --> 00:19:42,879 Speaker 1: I mean the range of costs and in et F 407 00:19:42,960 --> 00:19:45,480 Speaker 1: are you know, it's it's pretty extreme. I mean you 408 00:19:45,560 --> 00:19:48,080 Speaker 1: go from you know, three or four basis points for 409 00:19:48,160 --> 00:19:52,280 Speaker 1: some of the largest broadest equity index products you know, 410 00:19:52,440 --> 00:19:57,240 Speaker 1: up into basis points for some active constructs where you've 411 00:19:57,280 --> 00:20:00,240 Speaker 1: got you know, unique UM, you know i P being 412 00:20:00,240 --> 00:20:02,720 Speaker 1: brought into play. And and you know what we've seen 413 00:20:02,800 --> 00:20:07,240 Speaker 1: over time is that, UM, the low cost beta story 414 00:20:07,560 --> 00:20:10,640 Speaker 1: you know, remains interesting and relevant for for some some 415 00:20:10,800 --> 00:20:14,399 Speaker 1: aspects of the core portfolio. But investors are very much 416 00:20:14,440 --> 00:20:17,560 Speaker 1: willing to engage at different price points if they feel 417 00:20:17,560 --> 00:20:21,080 Speaker 1: like from a performance perspective or from a risk perspective, 418 00:20:21,200 --> 00:20:24,280 Speaker 1: or just trying to attain some goal in the portfolio, 419 00:20:24,320 --> 00:20:27,320 Speaker 1: whether that's income or some type of you know, a 420 00:20:27,359 --> 00:20:30,399 Speaker 1: buffer type strategy. UM, they're still willing to pay for it. 421 00:20:30,400 --> 00:20:32,600 Speaker 1: And we certainly saw that over the last couple of years. 422 00:20:33,119 --> 00:20:36,800 Speaker 1: UM since you know, since spring of twenty UM price 423 00:20:36,960 --> 00:20:40,280 Speaker 1: wasn't the only factor. Ye alright, no, great stuff. Appreciate 424 00:20:40,359 --> 00:20:43,120 Speaker 1: checking in with us. No Archer, Global head of ets 425 00:20:43,680 --> 00:20:46,640 Speaker 1: at Alliance Bernstein, and those are two of the bluest 426 00:20:46,680 --> 00:20:50,280 Speaker 1: chip names in asset management, Alliance and Bernstein, and now 427 00:20:50,280 --> 00:20:53,240 Speaker 1: they're together and they are in the et F space 428 00:20:53,320 --> 00:21:00,880 Speaker 1: in a big way. All Right, Amazon Matt ten employees 429 00:21:00,880 --> 00:21:02,600 Speaker 1: that are laying off. Okay, that's kind of news, but 430 00:21:02,880 --> 00:21:06,359 Speaker 1: context they have over one point five million employees, so 431 00:21:06,440 --> 00:21:08,840 Speaker 1: less than one percent, but true. Still the story, the 432 00:21:08,840 --> 00:21:12,840 Speaker 1: theme is big tech, who's done nothing but higher for 433 00:21:13,000 --> 00:21:16,760 Speaker 1: literally a generation, nothing but in the hiring mode. This 434 00:21:16,880 --> 00:21:18,800 Speaker 1: is the first time I can remember. I know that 435 00:21:18,840 --> 00:21:20,639 Speaker 1: we had a little bit and obviously the dot com area, 436 00:21:20,680 --> 00:21:23,240 Speaker 1: but um that you know, kind of there's a theme there. 437 00:21:23,240 --> 00:21:25,320 Speaker 1: They're starting to pair back a little bit. Remember the 438 00:21:25,359 --> 00:21:27,480 Speaker 1: fact that the new generation of reporters that comes into 439 00:21:27,480 --> 00:21:29,600 Speaker 1: the studio to talk to us does not remember the 440 00:21:29,640 --> 00:21:32,800 Speaker 1: dot com bust. They were born front center, on the 441 00:21:32,800 --> 00:21:35,040 Speaker 1: front line. And so yeah, I think the interesting thing 442 00:21:35,080 --> 00:21:37,760 Speaker 1: is you're seeing a lot of these companies, especially the 443 00:21:37,760 --> 00:21:40,199 Speaker 1: ones who did big hiring last year, start to do 444 00:21:40,320 --> 00:21:45,200 Speaker 1: layoffs beyond Elon Musk just firing half of Twitter. You've 445 00:21:45,240 --> 00:21:50,840 Speaker 1: got Facebook, You've got Microsoft, You've got uh now now Amazon. 446 00:21:50,960 --> 00:21:53,560 Speaker 1: But the thing to me is, um, they usually need 447 00:21:53,600 --> 00:21:56,440 Speaker 1: to add employees this time of year. Right, that's amazing. 448 00:21:56,480 --> 00:21:58,960 Speaker 1: All right, let's talk cars. You want to do that? Yes? Please? 449 00:21:59,000 --> 00:22:00,680 Speaker 1: All right, why don't you bring in Kevin Tynan because 450 00:22:00,680 --> 00:22:02,560 Speaker 1: I think he does that stuff right. Kevin Tynan joins 451 00:22:02,560 --> 00:22:07,119 Speaker 1: a senior automotive analysts Bloomberg Intelligence and Kevin let's talk 452 00:22:07,160 --> 00:22:11,399 Speaker 1: about UM. Well, first of all, rivan Um putting some 453 00:22:11,480 --> 00:22:15,800 Speaker 1: price hikes, uh, putting putting some price hikes out there, 454 00:22:15,800 --> 00:22:18,679 Speaker 1: and they're already expensive enough. I built one, I think 455 00:22:18,840 --> 00:22:23,040 Speaker 1: pretty conservatively and already got to dollars. Is that going 456 00:22:23,080 --> 00:22:26,760 Speaker 1: to hit demand? Well? Sure, yeah, I mean but look 457 00:22:26,800 --> 00:22:30,080 Speaker 1: at the stage we're in. You know, if one fifty 458 00:22:30,160 --> 00:22:35,440 Speaker 1: lightnings are transacting above eight tho. Yeah, well I'm saying 459 00:22:35,440 --> 00:22:38,000 Speaker 1: the average, and we get those numbers every month, it's 460 00:22:38,000 --> 00:22:40,760 Speaker 1: still well into the eighties on average, but yeah, you 461 00:22:40,760 --> 00:22:43,320 Speaker 1: can get them up into six figures UM. And that's 462 00:22:43,320 --> 00:22:46,840 Speaker 1: just the point we're at. And it's even intensifying now 463 00:22:46,880 --> 00:22:52,000 Speaker 1: because of material costs UM. Where to sell something at 464 00:22:52,040 --> 00:22:55,840 Speaker 1: even break even, We're talking about sixty thou plus, so 465 00:22:55,880 --> 00:22:58,680 Speaker 1: you're not gonna you know, and there's gonna be very 466 00:22:58,680 --> 00:23:02,320 Speaker 1: few automakers that will sell something unprofitably. Right. This is 467 00:23:02,359 --> 00:23:04,919 Speaker 1: what I've been talking about forever UM and now that 468 00:23:05,000 --> 00:23:07,919 Speaker 1: point is just getting higher and higher, which is why 469 00:23:08,000 --> 00:23:12,560 Speaker 1: you're seeing price increases. So, Kevin, here's why this whole 470 00:23:12,560 --> 00:23:14,720 Speaker 1: ev thing is can be a lot bumpier than I 471 00:23:14,760 --> 00:23:17,960 Speaker 1: think the bulls think. I mean, don't you have to 472 00:23:17,960 --> 00:23:21,280 Speaker 1: replace almost every gas station out there with a charging station. 473 00:23:21,359 --> 00:23:24,320 Speaker 1: And some of these trucks require, like, you know, enough 474 00:23:24,359 --> 00:23:27,840 Speaker 1: power to power small talent. There's a Bluemark article out 475 00:23:27,880 --> 00:23:31,200 Speaker 1: today with that kind of analysis. Yeah, and and it's interesting. 476 00:23:31,240 --> 00:23:35,360 Speaker 1: I was just in UH speaking with the greater Cincinnati 477 00:23:35,400 --> 00:23:39,199 Speaker 1: auto dealers who doesn't do that luncheon last weekend. And 478 00:23:39,280 --> 00:23:41,639 Speaker 1: this is what Kevin does. He goes to speaks to 479 00:23:41,680 --> 00:23:44,000 Speaker 1: auto dealers in Cincinnati. That's what you're gonna do. You 480 00:23:44,040 --> 00:23:45,840 Speaker 1: want to cover this business, and you have to talk 481 00:23:45,840 --> 00:23:48,240 Speaker 1: to the dealership owners. Yeah, yeah, and and and we 482 00:23:48,280 --> 00:23:51,240 Speaker 1: had dinner the night before with the UH some Ford 483 00:23:51,280 --> 00:23:54,080 Speaker 1: dealers and one of the things that you know, we've 484 00:23:54,080 --> 00:23:58,840 Speaker 1: heard about Ford requesting from their dealerships and investment of 485 00:23:58,920 --> 00:24:02,000 Speaker 1: a million US dollars to update to be able to 486 00:24:02,040 --> 00:24:05,199 Speaker 1: sell evs um. And was talking to some dealers and 487 00:24:05,240 --> 00:24:08,080 Speaker 1: they were saying, we were fine with all that, changing 488 00:24:08,080 --> 00:24:12,440 Speaker 1: the store, new tile, new entryways, charge points. And when 489 00:24:12,480 --> 00:24:14,640 Speaker 1: they went to the local utility, they said, yeah, you're 490 00:24:14,640 --> 00:24:16,720 Speaker 1: talking three years before we can get that kind of 491 00:24:16,720 --> 00:24:20,000 Speaker 1: power from the street to your store. So even even 492 00:24:20,040 --> 00:24:23,560 Speaker 1: these dealers who want to go along with Ford sort 493 00:24:23,640 --> 00:24:27,159 Speaker 1: of you know, internal combustion side and e V side 494 00:24:27,480 --> 00:24:29,720 Speaker 1: still have to wait because the infrastructure is just not 495 00:24:29,840 --> 00:24:33,960 Speaker 1: there yet. And imagine what it would be, Um, if 496 00:24:33,960 --> 00:24:38,400 Speaker 1: we were talking e V or or more as we're 497 00:24:38,440 --> 00:24:42,159 Speaker 1: saying it's gonna be this, is gonna be this. I'm 498 00:24:42,200 --> 00:24:44,320 Speaker 1: not sure we're ready for that. But they're still gonna 499 00:24:44,359 --> 00:24:49,359 Speaker 1: I mean, someone who's gonna buy an e V uh today, Um, 500 00:24:49,400 --> 00:24:52,280 Speaker 1: they're still gonna buy it, right, Yeah, they're still gonna 501 00:24:52,359 --> 00:24:54,560 Speaker 1: sell as many. These companies are still gonna sell as 502 00:24:54,600 --> 00:24:57,800 Speaker 1: many as they can make. That's not a constraint. Yeah, 503 00:24:57,800 --> 00:25:00,639 Speaker 1: that the issue is they won't make that many. Uh, 504 00:25:01,400 --> 00:25:04,000 Speaker 1: that's because they don't get the kind of margins that 505 00:25:04,040 --> 00:25:06,159 Speaker 1: they'd like to. They still get the margins from the 506 00:25:06,200 --> 00:25:08,479 Speaker 1: big trucks from the six point to leader V eight 507 00:25:08,800 --> 00:25:13,520 Speaker 1: and not from right. Well. So, so the concept we 508 00:25:13,560 --> 00:25:15,880 Speaker 1: hear all the time is, oh, when there's price parity 509 00:25:15,920 --> 00:25:20,200 Speaker 1: between internal combustion and e V, the consumer will adopt 510 00:25:20,480 --> 00:25:23,560 Speaker 1: and will That's where the tipping point in EV adoption comes. 511 00:25:23,560 --> 00:25:25,800 Speaker 1: And I'm saying it has nothing to do with price parity, 512 00:25:26,080 --> 00:25:30,000 Speaker 1: has everything to do with profit parity, because the whole 513 00:25:30,040 --> 00:25:34,080 Speaker 1: adoption thing is determined by the automaker, not by the consumer, 514 00:25:34,600 --> 00:25:38,000 Speaker 1: because the automaker is the is the entity that decides 515 00:25:38,080 --> 00:25:41,760 Speaker 1: am I going to build and sell something unprofitably? Probably not? 516 00:25:42,359 --> 00:25:44,919 Speaker 1: Or am I going to sell the profitable thing? And 517 00:25:44,960 --> 00:25:48,280 Speaker 1: that's kind of where we are. So you know, if 518 00:25:48,320 --> 00:25:51,160 Speaker 1: if internal combustion and e V are both thirty five 519 00:25:51,240 --> 00:25:54,040 Speaker 1: thousand dollars, well how much how much margin is each 520 00:25:54,040 --> 00:25:56,720 Speaker 1: of those will determine which one gets adopted, because that's 521 00:25:56,720 --> 00:26:00,760 Speaker 1: what the manufacturer is going to market and push and 522 00:26:00,760 --> 00:26:02,960 Speaker 1: and that's what the consumer will end up buying. I 523 00:26:03,000 --> 00:26:05,879 Speaker 1: mean you you know, if there if there's a twenty 524 00:26:05,880 --> 00:26:08,719 Speaker 1: thousand dollar difference on a thirty thousand and thirty five 525 00:26:09,080 --> 00:26:12,360 Speaker 1: dollar vehicle in terms of profitability, well you know, you're 526 00:26:12,359 --> 00:26:16,000 Speaker 1: just not gonna purposely sell things unprofitably for very long. 527 00:26:16,320 --> 00:26:18,920 Speaker 1: What's the deal with riv and kevin Um. The stock 528 00:26:18,960 --> 00:26:20,600 Speaker 1: has been up to one seventy two, it's down to 529 00:26:20,640 --> 00:26:22,879 Speaker 1: thirty three right now, even with the massive rally the 530 00:26:22,960 --> 00:26:25,920 Speaker 1: last couple of days. Are they gonna make it? Yeah? 531 00:26:25,920 --> 00:26:29,320 Speaker 1: I mean, you just it's this push for scale now, right, 532 00:26:29,440 --> 00:26:32,200 Speaker 1: which is interesting because you guys are talking about tech 533 00:26:32,240 --> 00:26:34,680 Speaker 1: companies and that was this sort of veil that everybody 534 00:26:34,720 --> 00:26:37,040 Speaker 1: hit under. We're not an automaker, We're a tech company. 535 00:26:37,080 --> 00:26:39,400 Speaker 1: And now that's right, Like that's not Maybe it's such 536 00:26:39,400 --> 00:26:42,119 Speaker 1: a great thing, um, but but at the end of 537 00:26:42,160 --> 00:26:45,280 Speaker 1: the day, the auto industry has if there's one word, 538 00:26:45,400 --> 00:26:48,960 Speaker 1: it's scale. You just need to be able to build 539 00:26:49,000 --> 00:26:52,000 Speaker 1: a lot of things. Margins aren't great. Uh, you need 540 00:26:52,040 --> 00:26:54,080 Speaker 1: to do it all over the world, and you need 541 00:26:54,119 --> 00:26:56,760 Speaker 1: to just keep cranking them out. And these these companies 542 00:26:56,800 --> 00:27:01,200 Speaker 1: that were wildly valued were on this potential or total 543 00:27:01,240 --> 00:27:03,920 Speaker 1: addressable market, not on the reality of where they were 544 00:27:04,000 --> 00:27:07,119 Speaker 1: scales scale wise. Kevin, just real quick, what are you 545 00:27:07,200 --> 00:27:10,800 Speaker 1: driving right now? I actually have the Ionic five from 546 00:27:10,880 --> 00:27:14,280 Speaker 1: Hyundai their e v We get four hour blocks to 547 00:27:14,359 --> 00:27:16,440 Speaker 1: charge them here in Princeton. So I just ran out 548 00:27:16,480 --> 00:27:20,480 Speaker 1: there to UM to update my charging and froze my 549 00:27:20,520 --> 00:27:22,520 Speaker 1: butt off, and I'm thinking, how is this better than 550 00:27:22,560 --> 00:27:27,080 Speaker 1: me sitting in my car while somebody put that vehicle 551 00:27:27,359 --> 00:27:30,600 Speaker 1: that's one that consumers love. Alright, good stuff, Kevin Tyne. 552 00:27:30,640 --> 00:27:34,680 Speaker 1: And he's our auto analysts, quasi tech analysts now covering 553 00:27:34,720 --> 00:27:40,879 Speaker 1: the auto industry from Cold Prince, New Jersey. Here's the story, 554 00:27:40,960 --> 00:27:44,320 Speaker 1: Matt that really got my attention on the Bloomberg terminal. 555 00:27:44,359 --> 00:27:48,160 Speaker 1: Today London loses crown of biggest European stock market to Paris. 556 00:27:48,520 --> 00:27:50,600 Speaker 1: I didn't even think that was an issue. I didn't 557 00:27:50,600 --> 00:27:52,200 Speaker 1: even think that was on the table. So I said, 558 00:27:52,520 --> 00:27:54,800 Speaker 1: all right, let's get somebody smarting here to kind of 559 00:27:54,800 --> 00:27:57,840 Speaker 1: tell us how this happened, what it means going forward, 560 00:27:57,840 --> 00:28:00,760 Speaker 1: because I guess this is a Brexit situation ration here 561 00:28:00,880 --> 00:28:04,840 Speaker 1: or fallout from Brexit. So we've found a great guest, 562 00:28:04,920 --> 00:28:08,359 Speaker 1: Marianne Scordell. She is the founder of a Bourgeville consulting 563 00:28:08,800 --> 00:28:14,200 Speaker 1: Actually like that pronunciation solid perfect Mary, and so this again, 564 00:28:14,200 --> 00:28:16,400 Speaker 1: it is just amazing to me. Tell me how this 565 00:28:16,480 --> 00:28:18,160 Speaker 1: came about because we used to think, and I guess 566 00:28:18,160 --> 00:28:21,199 Speaker 1: we still do those that along with New York, London 567 00:28:21,320 --> 00:28:24,600 Speaker 1: is like the global financial hub. But I guess this 568 00:28:24,680 --> 00:28:26,960 Speaker 1: is a victim of Brexit. Well, you know, since the 569 00:28:27,080 --> 00:28:30,119 Speaker 1: referendum was voted, which was a few years ago now 570 00:28:30,160 --> 00:28:33,280 Speaker 1: it was in there's been a trend. So for a 571 00:28:33,280 --> 00:28:35,320 Speaker 1: long time people were wondering, or where shall we go 572 00:28:35,400 --> 00:28:38,480 Speaker 1: from London, because in order to operate on the continent, 573 00:28:38,760 --> 00:28:40,480 Speaker 1: you now you have to be on the continent. You 574 00:28:40,520 --> 00:28:42,760 Speaker 1: could do it from London, but you can't do it 575 00:28:42,800 --> 00:28:44,720 Speaker 1: from London anymore. You don't have what they call the 576 00:28:45,080 --> 00:28:48,840 Speaker 1: European passport from London anymore. So the question always was 577 00:28:48,880 --> 00:28:51,280 Speaker 1: where shall we go? Where shall we go? And for 578 00:28:51,320 --> 00:28:55,440 Speaker 1: the last like since a lot of financial services companies 579 00:28:55,440 --> 00:28:59,000 Speaker 1: have opened small offices in continental Europe, sometimes with just 580 00:28:59,160 --> 00:29:02,400 Speaker 1: one person, very small kind of to hedge their beds 581 00:29:02,440 --> 00:29:04,520 Speaker 1: at the beginning, and now they're just beefing them up. 582 00:29:04,560 --> 00:29:11,400 Speaker 1: And that's what's happening. So we still have huge asset classes, 583 00:29:11,960 --> 00:29:15,320 Speaker 1: you know, dominated by London. For example f X right is. 584 00:29:16,040 --> 00:29:18,160 Speaker 1: I don't even know how many trillions of dollars f 585 00:29:18,440 --> 00:29:21,040 Speaker 1: X trades a day in London, but it's giant. How 586 00:29:21,080 --> 00:29:26,320 Speaker 1: big is the stock market, the European stock market trading 587 00:29:27,280 --> 00:29:30,520 Speaker 1: in Paris versus what it is in London, Well, I 588 00:29:30,560 --> 00:29:32,960 Speaker 1: don't know. But the choice of Paris really is to 589 00:29:33,000 --> 00:29:35,560 Speaker 1: have like people in one city to exchange because a 590 00:29:35,560 --> 00:29:37,920 Speaker 1: lot of what happens happens like physically. I know in 591 00:29:37,920 --> 00:29:40,240 Speaker 1: the last two years we were all like not in 592 00:29:40,280 --> 00:29:42,640 Speaker 1: the office, but it's really important to be all in 593 00:29:42,680 --> 00:29:45,080 Speaker 1: the same place, in the same office. So that's one 594 00:29:45,120 --> 00:29:48,680 Speaker 1: of the reasons why you know, people, companies, business managers 595 00:29:48,680 --> 00:29:51,160 Speaker 1: were looking for one location to have everybody. I guess 596 00:29:51,200 --> 00:29:52,760 Speaker 1: that's kind of what I'm what I'm really asking is 597 00:29:52,800 --> 00:29:56,440 Speaker 1: where are all the people because um I remember when 598 00:29:56,440 --> 00:29:57,880 Speaker 1: I'm not sure if there's still the case, but it 599 00:29:58,000 --> 00:30:00,200 Speaker 1: used to be that you had the trade equity is 600 00:30:00,240 --> 00:30:04,200 Speaker 1: in Osaka, actually physically enter your orders in Osaka. But 601 00:30:04,240 --> 00:30:07,160 Speaker 1: everybody in the equities industry wanted to live in Tokyo. 602 00:30:07,440 --> 00:30:09,240 Speaker 1: So what they would do is, you know, the top 603 00:30:09,640 --> 00:30:13,000 Speaker 1: guys would pick some kid and and send him to 604 00:30:13,080 --> 00:30:15,080 Speaker 1: Osaka and whenever they want to make trazy, just call 605 00:30:15,160 --> 00:30:17,640 Speaker 1: him up. Right, Is this same thing happening? Are the 606 00:30:17,680 --> 00:30:21,959 Speaker 1: important managers still living in uh, you know, Mayfair or 607 00:30:22,040 --> 00:30:25,680 Speaker 1: Chelsea and just calling in their orders to Paris? Sometimes? 608 00:30:25,760 --> 00:30:27,640 Speaker 1: I mean I know people who actually commute, you know, 609 00:30:27,680 --> 00:30:29,840 Speaker 1: with the Eurostar it's about two hours to go from 610 00:30:29,920 --> 00:30:33,320 Speaker 1: London to Paris, maybe three hours door to door, so 611 00:30:33,320 --> 00:30:35,880 Speaker 1: so you know it's a lot of people still have 612 00:30:35,920 --> 00:30:38,120 Speaker 1: the kids at school in London and they go they 613 00:30:38,120 --> 00:30:40,200 Speaker 1: spend the week in Paris. It was the case, to 614 00:30:40,240 --> 00:30:42,640 Speaker 1: be fair before before Brexit, some people did that the 615 00:30:42,720 --> 00:30:46,000 Speaker 1: other way around. Actually, the Flamilies were more on the continents, 616 00:30:46,040 --> 00:30:48,520 Speaker 1: people worked in London and they spend the weekend on 617 00:30:48,520 --> 00:30:50,320 Speaker 1: the continent and the week in London. Now they do 618 00:30:50,400 --> 00:30:52,560 Speaker 1: the other way around. It's not a big deal at all. 619 00:30:52,800 --> 00:30:55,080 Speaker 1: So Mary and you spent a lot of time of 620 00:30:55,200 --> 00:30:59,040 Speaker 1: your professional career in London and no more, no Mura, Barclays. 621 00:31:00,080 --> 00:31:02,320 Speaker 1: When you talk to your clients over there, do they 622 00:31:02,360 --> 00:31:06,440 Speaker 1: feel like that the time of London as a global 623 00:31:06,480 --> 00:31:09,520 Speaker 1: financial hub, that that is in fact in the rear 624 00:31:09,600 --> 00:31:11,400 Speaker 1: view mirror, that's in the past where we've kind of 625 00:31:11,440 --> 00:31:14,240 Speaker 1: lost that position. I think it's not a done deal yet. 626 00:31:14,280 --> 00:31:16,320 Speaker 1: People are still kind of in two minds. It's been 627 00:31:16,360 --> 00:31:20,000 Speaker 1: really progressive since the referendum. So now they are adding people, 628 00:31:20,080 --> 00:31:22,800 Speaker 1: even like banks such as Golden Sacks, Morgan Standing, they're 629 00:31:22,800 --> 00:31:27,040 Speaker 1: adding stuff to their Paris office Paris offices and so 630 00:31:27,120 --> 00:31:29,280 Speaker 1: it's but but it's not a done deal yet. I mean, 631 00:31:29,320 --> 00:31:31,640 Speaker 1: you can't say now Paris is bigger than London in 632 00:31:31,760 --> 00:31:35,360 Speaker 1: terms of being the financial center. It's working progress and 633 00:31:35,680 --> 00:31:37,920 Speaker 1: things can still change a little bit. You know, it's 634 00:31:37,960 --> 00:31:41,520 Speaker 1: not um it was, It's not yet black or white. 635 00:31:41,800 --> 00:31:43,280 Speaker 1: I think we have to bear that in mind. The 636 00:31:43,320 --> 00:31:46,800 Speaker 1: elephant in the room when you're talking about France or 637 00:31:47,080 --> 00:31:49,040 Speaker 1: the same is true. I guess another sort of social 638 00:31:49,200 --> 00:31:56,120 Speaker 1: democracies as tax right and the Wall Street crowd or um, 639 00:31:56,160 --> 00:31:59,760 Speaker 1: you know, the London finance crowd doesn't want to move there, 640 00:32:00,480 --> 00:32:02,800 Speaker 1: um and then find out that all of a sudden 641 00:32:02,880 --> 00:32:07,160 Speaker 1: the Parisian left has brought out the guillotine again. Well, 642 00:32:07,240 --> 00:32:09,840 Speaker 1: I hope they never will do that anyway, but it's 643 00:32:10,000 --> 00:32:12,360 Speaker 1: very true that that's one of the big questions, together 644 00:32:12,440 --> 00:32:15,760 Speaker 1: with the labor law and tax However, the French want 645 00:32:15,800 --> 00:32:17,920 Speaker 1: to refer like the French government has done a big 646 00:32:17,960 --> 00:32:21,520 Speaker 1: marketing pushed towards the financial community, so they for example, 647 00:32:21,560 --> 00:32:23,680 Speaker 1: they come to New York fairly, you know, fairly often 648 00:32:23,760 --> 00:32:26,320 Speaker 1: to meet fund managers to say how Paris has become, 649 00:32:26,360 --> 00:32:29,960 Speaker 1: you as a business friendly in financial services but in 650 00:32:30,000 --> 00:32:32,880 Speaker 1: business overall. And it's true that they're trying to reform, 651 00:32:32,920 --> 00:32:36,760 Speaker 1: but that's very obviously very slow. That's normal. Um. So 652 00:32:36,840 --> 00:32:40,880 Speaker 1: it's it's basically taking time, but hopefully hopefully they'll get there. 653 00:32:40,880 --> 00:32:43,000 Speaker 1: From experience, what I can say is that it's a 654 00:32:43,000 --> 00:32:46,320 Speaker 1: lot easier now than it used to be to access regulators, 655 00:32:46,360 --> 00:32:49,640 Speaker 1: to access even like the government, when you need to 656 00:32:49,640 --> 00:32:52,440 Speaker 1: ask questions they have like they're more open for business 657 00:32:52,440 --> 00:32:54,720 Speaker 1: now than they were maybe ten years ago, and I 658 00:32:54,760 --> 00:32:57,040 Speaker 1: know that from experience doing that for my clients have 659 00:32:57,160 --> 00:33:01,320 Speaker 1: been moving a few hege funds too to continent Continental Europe, 660 00:33:01,760 --> 00:33:06,440 Speaker 1: um Portugal, also Paris. So it's interesting. But is Germany 661 00:33:06,440 --> 00:33:08,160 Speaker 1: an option here? Because when I think of just I 662 00:33:08,160 --> 00:33:10,960 Speaker 1: mean when I was on the south side, might stop 663 00:33:10,960 --> 00:33:14,080 Speaker 1: in Germany was always Frankfort that was a major European 664 00:33:14,120 --> 00:33:16,600 Speaker 1: financial hub. Is that still the case and are they 665 00:33:16,680 --> 00:33:19,400 Speaker 1: trying to get are they successfully taking some of that 666 00:33:19,440 --> 00:33:22,200 Speaker 1: talent from London? So I do a lot of less 667 00:33:22,240 --> 00:33:24,720 Speaker 1: business in Germany. One reason is very simple. I don't 668 00:33:24,760 --> 00:33:27,080 Speaker 1: speak German. I speak a lot of other languages, but 669 00:33:27,160 --> 00:33:30,280 Speaker 1: not German. So you know, usually clients who come to 670 00:33:30,320 --> 00:33:32,600 Speaker 1: me are clients who are more interested in the continents. 671 00:33:33,280 --> 00:33:36,440 Speaker 1: A lot of people are saying that Germany is I'm sorry, 672 00:33:36,480 --> 00:33:38,920 Speaker 1: I maybe it's not true, but they are saying it's 673 00:33:38,920 --> 00:33:41,400 Speaker 1: a bit dull. So that's why, you know, that's why 674 00:33:41,440 --> 00:33:44,280 Speaker 1: traders and salespeople prefer to live in Paris and Germany. 675 00:33:44,280 --> 00:33:47,720 Speaker 1: That maybe one of the reasons. It's deadly, deadly boring 676 00:33:48,160 --> 00:33:52,440 Speaker 1: living in Frankfort and the best Thingstchester I've lived. I've lived. 677 00:33:52,480 --> 00:33:55,200 Speaker 1: I've spent years living in Frankfort and the I mean, 678 00:33:55,240 --> 00:33:58,240 Speaker 1: it's really fantastic to have the airport so close and 679 00:33:58,320 --> 00:34:01,400 Speaker 1: easy to get out of Frankfort. But otherwise there's not 680 00:34:01,440 --> 00:34:03,840 Speaker 1: a lot to do. They're compared to Paris. Dublin was 681 00:34:03,880 --> 00:34:05,800 Speaker 1: also an option that a lot of people were interested in. 682 00:34:06,040 --> 00:34:08,600 Speaker 1: Madrid is one that I think would be great. Um, 683 00:34:09,040 --> 00:34:12,240 Speaker 1: you mentioned Portugal. What are some of the alternatives? Where 684 00:34:12,280 --> 00:34:14,920 Speaker 1: else are people looking at? Yeah, there's also Amsterdam. Several 685 00:34:14,960 --> 00:34:17,520 Speaker 1: clients have asked me to enquire about the regulatory regime 686 00:34:17,520 --> 00:34:21,120 Speaker 1: in Amsterdam, and you know, everything around it, because if 687 00:34:21,120 --> 00:34:23,200 Speaker 1: you go somewhere and you live there, it's not just 688 00:34:23,360 --> 00:34:25,480 Speaker 1: wherek it's you know, how how is it going? What 689 00:34:25,640 --> 00:34:28,760 Speaker 1: is it going to be like for the schools for kids? Schools? 690 00:34:28,760 --> 00:34:31,840 Speaker 1: They have a lot of international schools in Amsterdam. Everybody 691 00:34:31,840 --> 00:34:34,319 Speaker 1: speaks English as well, which is not necessarily the case 692 00:34:34,400 --> 00:34:38,680 Speaker 1: in Um, for example, in Spain. Right, UM, definitely is 693 00:34:38,680 --> 00:34:41,720 Speaker 1: not the case in I know that exactly because you flounder. 694 00:34:41,800 --> 00:34:44,120 Speaker 1: My wife is Spanish and none of her family knows 695 00:34:44,120 --> 00:34:45,719 Speaker 1: how to speak English, and I don't know how. Maybe 696 00:34:45,719 --> 00:34:49,200 Speaker 1: they just don't want to speak to you. That's all right, Maryanne, 697 00:34:49,200 --> 00:34:51,160 Speaker 1: thank you so much for joining us. Really appreciate getting 698 00:34:51,280 --> 00:34:53,440 Speaker 1: uh your perspective. You're on a story that I think 699 00:34:53,480 --> 00:34:56,960 Speaker 1: it's just really fascinating. Uh. London Loser's Crown the biggest 700 00:34:56,960 --> 00:35:00,040 Speaker 1: European stock market to Paris. Marianne Scordell found her of 701 00:35:00,080 --> 00:35:02,760 Speaker 1: a Bougeviilt Consulting. I appreciate you being in the Bloomberg 702 00:35:02,800 --> 00:35:09,239 Speaker 1: Interactive Broker's studio. Thanks for listening to the Bloomberg Markets podcast. 703 00:35:09,640 --> 00:35:12,799 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 704 00:35:13,000 --> 00:35:16,879 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 705 00:35:16,920 --> 00:35:21,120 Speaker 1: on Twitter at Matt Miller. Yet on Fall Sweeney I'm 706 00:35:21,120 --> 00:35:23,759 Speaker 1: on Twitter at pt Sweeney Before the podcast. You can 707 00:35:23,800 --> 00:35:26,040 Speaker 1: always catch us worldwide at Bloomberg Radio