1 00:00:00,120 --> 00:00:04,360 Speaker 1: Bloomberg is now on your dashboard with Apple CarPlay and 2 00:00:04,360 --> 00:00:08,160 Speaker 1: Android Auto. It gives you access to every Bloomberg podcast, 3 00:00:08,280 --> 00:00:11,560 Speaker 1: live audio feeds from Bloomberg Radio, print stories from Bloomberg 4 00:00:11,640 --> 00:00:14,920 Speaker 1: News in audio form, and the latest headlines of the 5 00:00:14,920 --> 00:00:18,600 Speaker 1: click of a button with Bloomberg News. Now it's free 6 00:00:18,680 --> 00:00:21,439 Speaker 1: with the latest version of the Bloomberg Business App. That's 7 00:00:21,680 --> 00:00:24,400 Speaker 1: the Bloomberg Business App. Get it on your phone in 8 00:00:24,440 --> 00:00:27,760 Speaker 1: the Apple App Store or on Google Play. Just download 9 00:00:27,800 --> 00:00:30,560 Speaker 1: the app, connect your phone to your car and get started. 10 00:00:30,960 --> 00:00:34,400 Speaker 1: And it's all presented by our sponsor, Interactive Brokers. 11 00:00:35,400 --> 00:00:38,600 Speaker 2: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney. Alongside 12 00:00:38,640 --> 00:00:39,760 Speaker 2: my co host Matt Miller. 13 00:00:40,200 --> 00:00:44,279 Speaker 1: Every business day we bring you interviews from CEOs, market pros, 14 00:00:44,320 --> 00:00:48,200 Speaker 1: and Bloomberg experts, along with essential market moven News. 15 00:00:48,720 --> 00:00:51,839 Speaker 2: Find the Bloomberg Markets Podcast called Apple Podcasts or wherever 16 00:00:51,960 --> 00:00:55,080 Speaker 2: you listen to podcasts, and at Bloomberg dot com slash podcast. 17 00:00:55,440 --> 00:00:58,960 Speaker 2: Let's go back out to the West Coast to San Francisco. 18 00:00:59,560 --> 00:01:04,240 Speaker 2: Space Discuss is spinning off Starlink via IPO as soon 19 00:01:04,280 --> 00:01:07,040 Speaker 2: as twenty twenty four. I don't know what's going on there, 20 00:01:07,040 --> 00:01:09,319 Speaker 2: but Ed Ludlow does. He's the host of Bloomberg Technology. 21 00:01:09,319 --> 00:01:11,200 Speaker 2: He's out there somewhere in California, I don't know where. 22 00:01:11,319 --> 00:01:13,720 Speaker 2: Sometimes he's in the desert for these rocket launches. 23 00:01:13,840 --> 00:01:16,480 Speaker 1: Dude, as soon as late twenty twenty four, that's not 24 00:01:16,640 --> 00:01:17,840 Speaker 1: soon at all, exactly. 25 00:01:17,920 --> 00:01:18,920 Speaker 2: I'm not putting that in mind. 26 00:01:19,600 --> 00:01:22,080 Speaker 1: As far away as late twenty twenty four, that's like 27 00:01:22,080 --> 00:01:23,759 Speaker 1: one hundred years from now, exactly. 28 00:01:24,160 --> 00:01:26,039 Speaker 2: What's happening with our good friends at SpaceX. 29 00:01:26,560 --> 00:01:31,120 Speaker 3: Yeah, all good points and sources tell us that this IPO, 30 00:01:31,240 --> 00:01:33,680 Speaker 3: which is a spin off as Starlink as a separate unit, 31 00:01:33,760 --> 00:01:36,240 Speaker 3: could happen towards the end of twenty twenty four, the 32 00:01:36,360 --> 00:01:38,120 Speaker 3: end of twenty twenty four. We have an election to 33 00:01:38,160 --> 00:01:40,760 Speaker 3: bear that in mind, and if not twenty twenty four 34 00:01:40,800 --> 00:01:42,920 Speaker 3: to twenty twenty five, And Matt, you're completely right, that 35 00:01:43,319 --> 00:01:47,920 Speaker 3: is distant. But this is highly anticipated, right, you know, 36 00:01:48,080 --> 00:01:51,560 Speaker 3: given the recent news flow must confirming that Starlink, which 37 00:01:51,600 --> 00:01:57,080 Speaker 3: is SpaceX's satellite consolation based internet service, has reached cash 38 00:01:57,080 --> 00:02:00,320 Speaker 3: flow break even. That is what he has said pretty 39 00:02:00,320 --> 00:02:03,360 Speaker 3: consistently over the years, would be the trigger to work 40 00:02:03,400 --> 00:02:06,920 Speaker 3: towards a listing spinning off through a listing, and what 41 00:02:06,960 --> 00:02:09,840 Speaker 3: my colleagues and I are reporting is that even though 42 00:02:09,880 --> 00:02:14,600 Speaker 3: that is far away, they're taking really material steps towards 43 00:02:14,680 --> 00:02:17,720 Speaker 3: doing that. So, for example, one source told me that 44 00:02:17,760 --> 00:02:22,680 Speaker 3: they're already shifting Starlink's assets, it's business assets, it's people, 45 00:02:23,240 --> 00:02:26,600 Speaker 3: to a new wholly owned subsidiary to prepare it to 46 00:02:26,639 --> 00:02:29,000 Speaker 3: be a sort of standalone unit ahead of an IPO. 47 00:02:29,720 --> 00:02:33,200 Speaker 1: The amazing thing to me, you write this in your 48 00:02:33,240 --> 00:02:37,000 Speaker 1: story with Gillian Tan and a couple of other Bloomberg 49 00:02:37,000 --> 00:02:41,959 Speaker 1: News reporters. They're expecting starlink to generate ten billion dollars 50 00:02:41,960 --> 00:02:44,600 Speaker 1: in revenue next year, which eclipses that of the rocket 51 00:02:44,639 --> 00:02:48,840 Speaker 1: launch business at SpaceX. So it's essentially a bigger It's 52 00:02:48,919 --> 00:02:52,000 Speaker 1: essentially their core business at SpaceX, right, at least judging by. 53 00:02:52,040 --> 00:02:56,160 Speaker 3: Sales, exactly right, it's essentially their core business. So what 54 00:02:56,200 --> 00:03:01,680 Speaker 3: we reported was that revenues due to significantly next year 55 00:03:02,000 --> 00:03:04,000 Speaker 3: to around fifteen billion dollars. 56 00:03:04,080 --> 00:03:06,080 Speaker 4: This year, overall it will. 57 00:03:05,919 --> 00:03:09,480 Speaker 3: Be about nine billion dollars, with a pretty even split 58 00:03:09,520 --> 00:03:12,760 Speaker 3: between Launch and Starlink, But next year Starlink will be 59 00:03:12,840 --> 00:03:15,160 Speaker 3: the vast majority, more than ten billion. 60 00:03:15,360 --> 00:03:15,640 Speaker 4: Guys. 61 00:03:15,680 --> 00:03:18,320 Speaker 3: I just want to say for sheer transparency with the 62 00:03:18,360 --> 00:03:22,280 Speaker 3: audience that as soon as we publish the story. Elon 63 00:03:22,400 --> 00:03:25,880 Speaker 3: Musk responded to a user on X, the platform formerly 64 00:03:25,880 --> 00:03:29,280 Speaker 3: known as Twitter, who had posted a screen grab of 65 00:03:29,320 --> 00:03:31,960 Speaker 3: the story and image of it, and musk response was 66 00:03:32,000 --> 00:03:33,840 Speaker 3: one single word, which was false. 67 00:03:34,320 --> 00:03:34,960 Speaker 4: So on the. 68 00:03:34,920 --> 00:03:38,560 Speaker 3: Face of it, Musk is denying the accuracy of our report. 69 00:03:38,760 --> 00:03:41,480 Speaker 3: But I would also tell our audience this is not 70 00:03:41,520 --> 00:03:44,840 Speaker 3: the first time Musk has replied or posted on x 71 00:03:44,880 --> 00:03:47,840 Speaker 3: about something I've reported saying it's false that in the 72 00:03:47,960 --> 00:03:51,800 Speaker 3: end is proved completely true by regulatory or legal filings 73 00:03:51,840 --> 00:03:52,360 Speaker 3: or otherwise. 74 00:03:52,680 --> 00:03:55,880 Speaker 2: I mean, this sounds like a really you know, cool business, 75 00:03:55,920 --> 00:03:58,760 Speaker 2: admirable business, you know, connecting parts of the world that 76 00:03:59,440 --> 00:04:03,920 Speaker 2: you know can't get you know, I guess internet connectivity. 77 00:04:03,920 --> 00:04:06,720 Speaker 2: Besides it, are their competitors to Starlink out there. 78 00:04:07,320 --> 00:04:12,040 Speaker 3: Well, the legacy into a space based internet company is 79 00:04:12,120 --> 00:04:15,520 Speaker 3: like Viasat, for example, But they've just not been able 80 00:04:15,560 --> 00:04:18,839 Speaker 3: to make this a business in the way or the 81 00:04:18,920 --> 00:04:21,320 Speaker 3: speed that Stalink has. You remember, Paul, when I was 82 00:04:21,320 --> 00:04:24,560 Speaker 3: in New York last week, we talked about Starlink's revenues 83 00:04:25,080 --> 00:04:28,840 Speaker 3: and the reason that it's worth discussing and reporting the 84 00:04:28,920 --> 00:04:33,440 Speaker 3: stepping stones towards an IPO is that this is the 85 00:04:33,480 --> 00:04:36,720 Speaker 3: mainstay of SpaceX's future. Right, everyone kind of wants an 86 00:04:36,760 --> 00:04:41,200 Speaker 3: association or investment into an Elon Musk company. SpaceX is 87 00:04:41,200 --> 00:04:44,640 Speaker 3: a private company, and although there is some liquidity in 88 00:04:44,680 --> 00:04:47,480 Speaker 3: the trading of its shares on the secondaries market and 89 00:04:47,520 --> 00:04:50,600 Speaker 3: from time to time a tender offer where employees can 90 00:04:50,640 --> 00:04:54,200 Speaker 3: sell shares, there isn't really much opportunity to have ownership 91 00:04:54,200 --> 00:04:56,880 Speaker 3: of it. So there's a lot of interest here. But 92 00:04:57,000 --> 00:05:00,680 Speaker 3: Starlink has been a game changer for people to access 93 00:05:00,720 --> 00:05:03,200 Speaker 3: the Internet around the world where they otherwise have not 94 00:05:03,240 --> 00:05:06,839 Speaker 3: been able to because of the satellite and ground receiver 95 00:05:06,880 --> 00:05:07,720 Speaker 3: based technology. 96 00:05:07,880 --> 00:05:10,000 Speaker 1: Well, and a lot of people first heard about Starlink 97 00:05:10,440 --> 00:05:14,400 Speaker 1: because of Russia's invasion of Ukraine, the Ukrainians using Starlink 98 00:05:14,440 --> 00:05:20,400 Speaker 1: to defend themselves. There there is a competitor from Jeff Bezos, right, 99 00:05:20,400 --> 00:05:22,760 Speaker 1: it can't pronounce it, but it's like Project. 100 00:05:22,480 --> 00:05:25,120 Speaker 4: Creeper Kuiper Kuiper. 101 00:05:24,920 --> 00:05:28,080 Speaker 1: Yeah, well, because it's kui. 102 00:05:27,960 --> 00:05:30,480 Speaker 3: Well exactly so, and what they're trying to do is 103 00:05:30,520 --> 00:05:33,400 Speaker 3: the same thing. Jeff Bezos has a rocket company. It's 104 00:05:33,400 --> 00:05:36,679 Speaker 3: called Blue Origin, but in the first instance, they're relying 105 00:05:36,720 --> 00:05:40,880 Speaker 3: on United Launch Alliance to put and other carriers sort 106 00:05:40,880 --> 00:05:45,200 Speaker 3: of legacy rocket companies to put Kuyper satellite constellations into space. 107 00:05:45,240 --> 00:05:48,120 Speaker 3: They have a very small, like single digit number of 108 00:05:48,240 --> 00:05:52,400 Speaker 3: early prototypes. But it's this idea that you know, you can. 109 00:05:52,240 --> 00:05:54,440 Speaker 1: Have whereas starlink has five thousand, right. 110 00:05:54,440 --> 00:05:58,640 Speaker 3: Ed exactly, And not only does Stalink have five thousand 111 00:05:58,760 --> 00:06:01,640 Speaker 3: or in the thousands that you know, these are satellites 112 00:06:01,680 --> 00:06:03,760 Speaker 3: which go in lower orbit, and from time to time 113 00:06:03,800 --> 00:06:06,400 Speaker 3: they have to be decommissioned or they get broken. But 114 00:06:06,600 --> 00:06:09,000 Speaker 3: the other success of SpaceX is that it kind of 115 00:06:09,000 --> 00:06:12,080 Speaker 3: feeds itself, right. You and I cover so many launches 116 00:06:12,160 --> 00:06:16,080 Speaker 3: so regularly, and SpaceX has a rocket launch company where 117 00:06:16,080 --> 00:06:19,400 Speaker 3: it's able to put its own constellation or maintain its 118 00:06:19,440 --> 00:06:23,000 Speaker 3: own constellation with constant launching. And so let's fast forward 119 00:06:23,000 --> 00:06:25,520 Speaker 3: just a little bit real quick. This Friday, we might 120 00:06:25,560 --> 00:06:29,360 Speaker 3: see Starship attempt to second full launch. It's big, shiny, 121 00:06:29,680 --> 00:06:32,560 Speaker 3: pointy rocket you may have seen. And the significance of 122 00:06:32,600 --> 00:06:35,880 Speaker 3: that is not just that that technology has the long 123 00:06:36,000 --> 00:06:36,520 Speaker 3: term goal. 124 00:06:36,400 --> 00:06:37,760 Speaker 4: Of getting humans to Mars. 125 00:06:38,080 --> 00:06:42,640 Speaker 3: I can hear Paul's eyes rolling and increasing, but actually, 126 00:06:42,680 --> 00:06:46,479 Speaker 3: if they can get starship to be successful. It's the 127 00:06:46,480 --> 00:06:49,360 Speaker 3: most powerful rocket ever designed and made. Then they can 128 00:06:49,400 --> 00:06:52,800 Speaker 3: even ramp up Starlink even further and take that five 129 00:06:52,800 --> 00:06:57,000 Speaker 3: thousand constellation to ten thousand, fifteen thousand, thirty thousand. And 130 00:06:57,040 --> 00:07:00,200 Speaker 3: actually at Bloomberg Intelligence they've crunched numbers on that and 131 00:07:00,240 --> 00:07:03,680 Speaker 3: it basically helps you dominate connectivity worldwide. 132 00:07:04,120 --> 00:07:07,799 Speaker 2: So to date ed has has Elon been funding SpaceX 133 00:07:07,880 --> 00:07:09,440 Speaker 2: just out of his own pocket? 134 00:07:09,920 --> 00:07:11,239 Speaker 4: Well, I love that story. 135 00:07:11,400 --> 00:07:14,280 Speaker 3: You know, you guys have been at Bloomberg a long 136 00:07:14,320 --> 00:07:17,120 Speaker 3: time right on the news side, and we historically have 137 00:07:17,240 --> 00:07:20,280 Speaker 3: not covered private companies as closely as we cover public 138 00:07:20,320 --> 00:07:25,400 Speaker 3: companies for obvious reasons. But the cap table SpaceX is fascinating. 139 00:07:25,840 --> 00:07:29,080 Speaker 3: You have names like Fidelity and Sequoia on there. You 140 00:07:29,160 --> 00:07:32,440 Speaker 3: have high networth individuals. You have Elon Musk and gwin 141 00:07:32,520 --> 00:07:35,680 Speaker 3: Shotwell who Elon Musk being the CEO, gwinshot Well being 142 00:07:35,680 --> 00:07:39,200 Speaker 3: the president and CEO of that company. There have been 143 00:07:39,320 --> 00:07:44,239 Speaker 3: tender offers again, that's where staff can sell their stock 144 00:07:44,360 --> 00:07:47,840 Speaker 3: units that they receive as compensation to buyers on the 145 00:07:47,840 --> 00:07:51,560 Speaker 3: secondary market for simply liquidity. But when that opportunity comes 146 00:07:51,560 --> 00:07:55,760 Speaker 3: abound sort of traditional asset or investment managers, high networth individuals, 147 00:07:55,800 --> 00:07:58,680 Speaker 3: even retail investors clamor to get a piece of that. 148 00:07:58,960 --> 00:08:01,120 Speaker 3: Partly because of what we've reported. There might be a 149 00:08:01,200 --> 00:08:04,040 Speaker 3: Starlink IPO soon at the end of next year, but 150 00:08:04,080 --> 00:08:06,240 Speaker 3: also you just want to own something because of elon 151 00:08:06,320 --> 00:08:09,080 Speaker 3: musk track record. So the cat table is really interesting. 152 00:08:09,520 --> 00:08:12,160 Speaker 1: Yeah, there's a great new podcast, Elon Inc. Have you 153 00:08:12,200 --> 00:08:14,520 Speaker 1: been listening to right now? That's from Bloomberg Business Week. Yeah, 154 00:08:14,560 --> 00:08:18,520 Speaker 1: David Papadopolis. I never realized that he has such a 155 00:08:18,560 --> 00:08:21,400 Speaker 1: good voice for radio. I mean I've heard him, you know, 156 00:08:21,600 --> 00:08:23,680 Speaker 1: yammering at me in the newsroom and it's not the same. 157 00:08:24,360 --> 00:08:28,600 Speaker 1: But Elon Inc. What a cool podcast, which covers obviously 158 00:08:28,680 --> 00:08:31,320 Speaker 1: all of the you know, the whole empire. So starlink 159 00:08:31,400 --> 00:08:36,520 Speaker 1: SpaceX boring Tesla Twitter, which some people insist on calling 160 00:08:36,800 --> 00:08:40,719 Speaker 1: X and it's it's such a cool, cool thing. So 161 00:08:40,800 --> 00:08:43,679 Speaker 1: Starlink maybe at the end of next year, but we 162 00:08:43,760 --> 00:08:47,080 Speaker 1: won't be able to get ahold of the launch business 163 00:08:47,400 --> 00:08:49,959 Speaker 1: of SpaceX as a public company. 164 00:08:51,040 --> 00:08:54,280 Speaker 3: My understanding and the understanding of my colleagues who reported 165 00:08:54,280 --> 00:08:58,079 Speaker 3: the stories is that once if Starlink spins off into 166 00:08:58,160 --> 00:09:01,880 Speaker 3: a public company space X. The remainder, which is largely 167 00:09:01,920 --> 00:09:06,400 Speaker 3: the launch business, remains a private company, you know, and 168 00:09:06,440 --> 00:09:10,319 Speaker 3: the transaction, based on past precedent is, you know, every 169 00:09:10,360 --> 00:09:15,880 Speaker 3: SpaceX shareholder of nottal record would receive receive an equivalent 170 00:09:15,960 --> 00:09:19,800 Speaker 3: volume of Starlink shares. Obviously their value would be changed 171 00:09:20,400 --> 00:09:23,000 Speaker 3: relative to whatever they held the private SpaceX stock at. 172 00:09:23,080 --> 00:09:26,520 Speaker 3: So that will be interesting. And just on that, there's 173 00:09:26,559 --> 00:09:29,640 Speaker 3: only so much money you can make sending things into orbit, right, 174 00:09:29,720 --> 00:09:33,920 Speaker 3: the per launch margin is much lower than the databased business. 175 00:09:34,000 --> 00:09:35,439 Speaker 4: So MOSCA said in the. 176 00:09:35,400 --> 00:09:37,959 Speaker 3: Past that it could cap out at like three billion 177 00:09:38,000 --> 00:09:40,280 Speaker 3: dollars of sales a year. Actually i'd heard that this 178 00:09:40,360 --> 00:09:42,600 Speaker 3: year it's more like four billion, four and a half billion. 179 00:09:42,679 --> 00:09:43,720 Speaker 3: But it has a limit. 180 00:09:44,200 --> 00:09:46,680 Speaker 1: I know that because I read ed Ludlow's reporting do 181 00:09:46,800 --> 00:09:48,720 Speaker 1: you look at you? And I watch and listened to 182 00:09:48,800 --> 00:09:51,000 Speaker 1: him on Bloomberg radio and television. 183 00:09:51,040 --> 00:09:54,040 Speaker 2: SpaceX ways spinning off Starlink via IPO as soon as 184 00:09:54,080 --> 00:09:57,640 Speaker 2: twenty twenty four, but following Bloomberg, ship work must called it. 185 00:09:57,760 --> 00:10:01,360 Speaker 2: Quote Foss in a post on ex social media platform 186 00:10:01,440 --> 00:10:04,320 Speaker 2: he owns without elaborating, ed, Ludlow, thanks so much. We 187 00:10:04,400 --> 00:10:07,800 Speaker 2: appreciate it. Ed Ludlow, he's a host of Bloomberg Technology. 188 00:10:07,840 --> 00:10:08,520 Speaker 4: He's wired in. 189 00:10:10,120 --> 00:10:13,959 Speaker 5: You're listening to the team can'shur live program Bloomberg Markets 190 00:10:14,000 --> 00:10:17,080 Speaker 5: weekdays at ten am Eastern on Bloomberg dot Com, the 191 00:10:17,160 --> 00:10:20,320 Speaker 5: iHeartRadio app and the Bloomberg Business App, or listen on 192 00:10:20,360 --> 00:10:22,360 Speaker 5: demand wherever you get your podcasts. 193 00:10:24,440 --> 00:10:26,880 Speaker 2: Jay Heffel joins us. He's a CEO, founder and portfolio 194 00:10:26,920 --> 00:10:30,400 Speaker 2: manager of Infrastructural Capital Managers ADVISORCY joins us here live 195 00:10:30,440 --> 00:10:33,360 Speaker 2: in the studio. He doesn't phone it in. Folks, Jay, 196 00:10:33,360 --> 00:10:35,160 Speaker 2: there's no inflation out there. You've been saying this for 197 00:10:35,200 --> 00:10:38,200 Speaker 2: a long time. Inflation has been coming down. CPI dated 198 00:10:38,240 --> 00:10:40,560 Speaker 2: this week, PPI dated this week. That surprised you at 199 00:10:40,559 --> 00:10:43,800 Speaker 2: all because it seems like some positive surprise for the market. 200 00:10:45,040 --> 00:10:48,559 Speaker 6: Thanks Paul and Matt. Well, we've been pretty public. We 201 00:10:48,679 --> 00:10:50,839 Speaker 6: put out a piece on October thirty first, and we 202 00:10:50,960 --> 00:10:56,200 Speaker 6: said this on National TV last week that this the 203 00:10:56,240 --> 00:11:00,520 Speaker 6: CPI and PPI would print cool. But that's not because 204 00:11:00,720 --> 00:11:03,840 Speaker 6: we speak to God or anything. It's simply that we 205 00:11:03,960 --> 00:11:07,760 Speaker 6: focus on oil prices and energy prices as a leading indicator, 206 00:11:08,200 --> 00:11:12,079 Speaker 6: and what's not appreciated even by our Federal Reserve, which 207 00:11:12,160 --> 00:11:16,079 Speaker 6: is hard to believe, is there's a substantial bleed through 208 00:11:16,840 --> 00:11:20,120 Speaker 6: of energy prices to core and we did see that. 209 00:11:21,000 --> 00:11:23,360 Speaker 6: If you think about it, there is no business in 210 00:11:23,400 --> 00:11:26,679 Speaker 6: the United States it doesn't use energy, but some use 211 00:11:26,720 --> 00:11:29,680 Speaker 6: a gigantic amount of energy. So food is forty percent 212 00:11:29,760 --> 00:11:33,720 Speaker 6: energy airline fares, so you get both an immediate bleed 213 00:11:33,800 --> 00:11:37,040 Speaker 6: throup to goin airline, our airline fares eventually to food. 214 00:11:37,840 --> 00:11:41,040 Speaker 6: And so that's one reason we've been bullish and thought 215 00:11:41,040 --> 00:11:43,679 Speaker 6: the rates were too high at five percent. We thought 216 00:11:43,720 --> 00:11:45,360 Speaker 6: they'd come down to kind of this range and might 217 00:11:45,440 --> 00:11:49,000 Speaker 6: stall out around here. But I would focus on energy. 218 00:11:49,080 --> 00:11:52,760 Speaker 6: And then also the other strange point about this report 219 00:11:53,040 --> 00:11:56,040 Speaker 6: is we kind of already know next month's report, so 220 00:11:56,080 --> 00:12:00,360 Speaker 6: you don't have TOPI yes, because what happened, which is 221 00:12:00,360 --> 00:12:02,720 Speaker 6: pretty unusual, is that it was sort of like a 222 00:12:02,720 --> 00:12:06,520 Speaker 6: bell went off the first day of October and gasoline 223 00:12:06,679 --> 00:12:09,000 Speaker 6: latively dropped ten percent during the month. 224 00:12:09,120 --> 00:12:09,360 Speaker 5: YEP. 225 00:12:09,679 --> 00:12:13,280 Speaker 6: So guess what, Only five percent was reflected in October, 226 00:12:13,320 --> 00:12:15,719 Speaker 6: and there's gonna be another five next month and we're 227 00:12:15,720 --> 00:12:18,760 Speaker 6: already halfway through the month, so it's unlikely to skyrocket. 228 00:12:19,000 --> 00:12:20,760 Speaker 6: And also retail is lagged. 229 00:12:20,440 --> 00:12:23,559 Speaker 2: And just to that point, the daily national average gasoline 230 00:12:23,600 --> 00:12:27,320 Speaker 2: price regular unleaded three dollars and thirty four cents today. 231 00:12:27,520 --> 00:12:29,520 Speaker 2: It was three dollars and ninety cents just back in 232 00:12:29,679 --> 00:12:31,000 Speaker 2: mid septem. 233 00:12:30,720 --> 00:12:32,760 Speaker 6: Right, And we kind of know that that will decline 234 00:12:33,200 --> 00:12:35,160 Speaker 6: for the rest of the month because what happens is 235 00:12:35,160 --> 00:12:38,040 Speaker 6: when wholesale comes down, there's a lag because you have 236 00:12:38,080 --> 00:12:42,280 Speaker 6: inventory in the channel. So the chances we kind of 237 00:12:42,280 --> 00:12:45,520 Speaker 6: already know that we're going to have a cool CPI 238 00:12:45,640 --> 00:12:49,280 Speaker 6: and PPI both headline and core for next month as well. 239 00:12:49,360 --> 00:12:50,520 Speaker 6: So that's pretty bullish. 240 00:12:50,960 --> 00:12:53,560 Speaker 1: But now now the core is what really counts, right, 241 00:12:53,600 --> 00:12:57,000 Speaker 1: because the energy price is really our transitory. The swings 242 00:12:57,040 --> 00:12:59,839 Speaker 1: that we've seen just in the last year show you 243 00:12:59,880 --> 00:13:05,120 Speaker 1: that I quote your CPI R index quite often, which 244 00:13:05,160 --> 00:13:07,360 Speaker 1: is your own proprietary index. I find it on the 245 00:13:07,360 --> 00:13:13,080 Speaker 1: infracap Funds dot com page, and it's come down substantially 246 00:13:13,160 --> 00:13:16,640 Speaker 1: compared to what the BLS gives us. Their core CPI 247 00:13:16,840 --> 00:13:19,120 Speaker 1: right now is four spot one to three, right, and 248 00:13:19,160 --> 00:13:22,320 Speaker 1: yours is, oh sorry, this is September, but it was 249 00:13:22,360 --> 00:13:24,360 Speaker 1: four point one three and yours was one point three 250 00:13:24,360 --> 00:13:28,360 Speaker 1: percent after having come down below one. Yours was also 251 00:13:28,480 --> 00:13:32,679 Speaker 1: higher than the highest core CPI back in June of 252 00:13:32,760 --> 00:13:36,280 Speaker 1: last year, so it was higher, it's been much lower. 253 00:13:36,440 --> 00:13:41,240 Speaker 1: Do you think it's possible that inflation resurges again, Well, I. 254 00:13:41,160 --> 00:13:45,199 Speaker 6: Wouldn't totally ignore the energy price dynamic because that does 255 00:13:45,240 --> 00:13:46,439 Speaker 6: feed through to the whole economy. 256 00:13:46,440 --> 00:13:47,320 Speaker 4: It has knock on effects. 257 00:13:47,559 --> 00:13:50,360 Speaker 6: And keep in mind that we have an eighty percent 258 00:13:50,440 --> 00:13:54,240 Speaker 6: cost advantage on natural gas too, because we're the Saudi 259 00:13:54,280 --> 00:13:57,280 Speaker 6: Arabia of natural gas and that affects electricity. So it 260 00:13:57,400 --> 00:13:59,880 Speaker 6: is a long term bull factor that we have low 261 00:14:00,640 --> 00:14:05,800 Speaker 6: energy prices in the US. But with regard to the 262 00:14:05,800 --> 00:14:09,880 Speaker 6: potential for a resurgence, yes, the answer is there's a 263 00:14:09,920 --> 00:14:11,679 Speaker 6: little bit of a sign of that, and that's why 264 00:14:11,720 --> 00:14:14,080 Speaker 6: it's better to look at case Shiller than the ridiculous 265 00:14:14,080 --> 00:14:16,840 Speaker 6: stuff that the BLS puts out. So we actually have 266 00:14:17,000 --> 00:14:19,640 Speaker 6: had like for instance, we just marked oart. We didn't 267 00:14:19,680 --> 00:14:22,120 Speaker 6: update our website yet, but we just put out a 268 00:14:22,400 --> 00:14:25,680 Speaker 6: lease yesterday that now our measures up to two. So 269 00:14:25,760 --> 00:14:28,360 Speaker 6: because case Shiller is actually ticking up now, I would 270 00:14:28,360 --> 00:14:29,120 Speaker 6: still see. 271 00:14:29,160 --> 00:14:32,080 Speaker 1: So it was one point three in September. In the 272 00:14:32,120 --> 00:14:35,680 Speaker 1: month before that, it was like zero point eighty nine. Uh, 273 00:14:35,960 --> 00:14:39,480 Speaker 1: and now it's at two, so your index is indeed 274 00:14:39,520 --> 00:14:40,360 Speaker 1: coming back. 275 00:14:40,200 --> 00:14:43,120 Speaker 6: Up, right. So I mean, if the FED was ever 276 00:14:43,160 --> 00:14:45,040 Speaker 6: looked at it, of course they might start to be worried, 277 00:14:45,040 --> 00:14:47,280 Speaker 6: but they're worried about what it was like a year 278 00:14:47,280 --> 00:14:50,760 Speaker 6: and a half ago. So but I would still say 279 00:14:50,880 --> 00:14:56,040 Speaker 6: that the chances of rate skyrocketing with the FED having 280 00:14:56,320 --> 00:14:59,720 Speaker 6: short term rates above five and mortgage rates almost almost 281 00:14:59,720 --> 00:15:04,120 Speaker 6: a day eight percent, is pretty low. It's not impossible, 282 00:15:04,120 --> 00:15:07,280 Speaker 6: but it's pretty low. So we're not really concerned about that. 283 00:15:07,320 --> 00:15:10,240 Speaker 6: We think it's kind of just normalizing. And also rents 284 00:15:10,360 --> 00:15:13,800 Speaker 6: do matter, and there are a lot of apartments coming 285 00:15:13,840 --> 00:15:16,480 Speaker 6: online in the next year, so the chances of a 286 00:15:16,520 --> 00:15:21,960 Speaker 6: big resurgence in housing costs are pretty low. And then 287 00:15:22,040 --> 00:15:23,800 Speaker 6: it's not really going to affect FED policy because it 288 00:15:23,800 --> 00:15:25,840 Speaker 6: would take them eighteen months to figure out that it 289 00:15:25,880 --> 00:15:26,760 Speaker 6: was actually happening. 290 00:15:27,280 --> 00:15:30,480 Speaker 2: So what are we doing here? I know you're still 291 00:15:30,480 --> 00:15:32,760 Speaker 2: bullish on bonds here, So how are you guys kind 292 00:15:32,760 --> 00:15:34,120 Speaker 2: of positioning yourselves these days? 293 00:15:34,440 --> 00:15:36,960 Speaker 6: Well, you know, we're we sort of are the self 294 00:15:37,400 --> 00:15:43,080 Speaker 6: proclaimed preferred stock kings, so we love it is self proclaimed, 295 00:15:43,120 --> 00:15:46,280 Speaker 6: by the way, but we'd love preferred stocks if you 296 00:15:46,320 --> 00:15:49,720 Speaker 6: really look at it, particularly funds like ours have actually 297 00:15:49,800 --> 00:15:53,640 Speaker 6: outperformed like almost all other fixed income so they have 298 00:15:53,800 --> 00:15:57,360 Speaker 6: higher coupons, which means they have lower duration. You can 299 00:15:57,400 --> 00:15:59,760 Speaker 6: look all this up in the terminal because duration is 300 00:15:59,800 --> 00:16:02,520 Speaker 6: kind of hard to calculate. And what also happens with 301 00:16:02,600 --> 00:16:05,640 Speaker 6: preferreds a lot of retail investors sell them in downturns, 302 00:16:06,000 --> 00:16:08,320 Speaker 6: so you can buy them well below par. And then 303 00:16:08,360 --> 00:16:10,520 Speaker 6: the final thing is very unusual about the asset class. 304 00:16:11,160 --> 00:16:14,120 Speaker 6: It has a lot of fixed to floating. So our 305 00:16:14,160 --> 00:16:18,240 Speaker 6: fund's about over fifty percent fixed to floating. And why 306 00:16:18,280 --> 00:16:20,960 Speaker 6: that's important is that all these rates were set when 307 00:16:21,480 --> 00:16:23,840 Speaker 6: FED funds is at two. They're bumping up the five, 308 00:16:23,880 --> 00:16:26,840 Speaker 6: so you're getting a three percent bump in a good 309 00:16:27,160 --> 00:16:30,080 Speaker 6: portion of it. So we would urge investors to take 310 00:16:30,080 --> 00:16:31,920 Speaker 6: a look at that. You can buy funds like ours, 311 00:16:32,000 --> 00:16:34,160 Speaker 6: or you can do it directly. If you do it directly, 312 00:16:34,440 --> 00:16:35,920 Speaker 6: you might want to get a terminal though, beause it's 313 00:16:35,920 --> 00:16:36,520 Speaker 6: pretty complicated. 314 00:16:36,520 --> 00:16:38,240 Speaker 1: You have to look up all the Yes, you should 315 00:16:38,240 --> 00:16:38,880 Speaker 1: get a terminal. 316 00:16:38,960 --> 00:16:39,160 Speaker 6: Yeah. 317 00:16:39,160 --> 00:16:39,360 Speaker 7: Thanks. 318 00:16:39,760 --> 00:16:42,680 Speaker 1: You can use the infracap funds dot com website for 319 00:16:42,720 --> 00:16:46,440 Speaker 1: your inflation data. Everything else on the Bloomberg terminal. Jay, 320 00:16:46,560 --> 00:16:49,840 Speaker 1: we called you in here because the EU says that 321 00:16:49,880 --> 00:16:52,480 Speaker 1: the Euro Area and its biggest economies are going to 322 00:16:52,520 --> 00:16:55,800 Speaker 1: avoid a recession. You've been bearish on the European Union. 323 00:16:56,240 --> 00:16:58,040 Speaker 1: What do you think is going to happen in that economy. 324 00:16:58,760 --> 00:17:03,400 Speaker 6: Well, we prefer real time data as opposed to like 325 00:17:03,440 --> 00:17:06,920 Speaker 6: econometric models, and so if you follow the recent data, 326 00:17:06,960 --> 00:17:11,920 Speaker 6: even this morning on eco Eurozone, there was a terrible 327 00:17:12,080 --> 00:17:15,400 Speaker 6: industrial production report that came out forgot I think it's 328 00:17:15,480 --> 00:17:19,160 Speaker 6: over down over one percent. But also you can access 329 00:17:19,800 --> 00:17:24,000 Speaker 6: on the web the equivalent of the Atlanta GDP now 330 00:17:24,560 --> 00:17:28,520 Speaker 6: and so the Eurozone GDP now is tracking at a 331 00:17:28,600 --> 00:17:32,240 Speaker 6: negative one point two percent annualized rate. And mean the 332 00:17:32,320 --> 00:17:35,439 Speaker 6: quarters early on to be fair, but that was also 333 00:17:36,480 --> 00:17:38,920 Speaker 6: you know, presaging that we would have a recession last 334 00:17:39,000 --> 00:17:42,120 Speaker 6: quarter too, and then all that's just the individual data 335 00:17:42,200 --> 00:17:44,680 Speaker 6: is terrible and there's no bowl case because we had 336 00:17:44,680 --> 00:17:48,760 Speaker 6: two rate increases last quarter. And keep in mind that 337 00:17:48,920 --> 00:17:52,040 Speaker 6: forty five percent of mortgages are floating rate in Europe, 338 00:17:52,560 --> 00:17:55,639 Speaker 6: so those those increases haven't even yet shown up in 339 00:17:55,720 --> 00:17:59,480 Speaker 6: retail sales, so there's and they of course don't have 340 00:17:59,640 --> 00:18:01,280 Speaker 6: the energy costs advantag They don't have any of the 341 00:18:01,280 --> 00:18:03,240 Speaker 6: advantage of us. They don't have a shortge of housing, 342 00:18:03,680 --> 00:18:09,200 Speaker 6: they don't have countercyclical infrastructure spending. Their natural gas prices 343 00:18:09,200 --> 00:18:11,520 Speaker 6: are five times ours, so we have a big gun. 344 00:18:11,800 --> 00:18:16,040 Speaker 6: So they're really kind of a disaster in our data shows. 345 00:18:16,400 --> 00:18:20,960 Speaker 6: And I wouldn't be too focused on your official forecast 346 00:18:20,960 --> 00:18:23,919 Speaker 6: because they update them every y're a little bit like 347 00:18:23,960 --> 00:18:27,200 Speaker 6: the BLS. They updated every six months, so it's you be. 348 00:18:27,240 --> 00:18:29,840 Speaker 1: The last industrial production in the Eurozone fell one point 349 00:18:29,880 --> 00:18:32,240 Speaker 1: one percent. That was worse and expected. That data just 350 00:18:32,320 --> 00:18:37,720 Speaker 1: out about ten hours ago, and industrial production year over 351 00:18:37,800 --> 00:18:39,200 Speaker 1: year was down six point. 352 00:18:39,040 --> 00:18:40,520 Speaker 6: Nine per It's just awful. 353 00:18:40,520 --> 00:18:42,879 Speaker 2: It's very bad, all right, Jay, thanks so much for 354 00:18:42,880 --> 00:18:45,480 Speaker 2: coming in again. Really appreciate taking a walk across town. 355 00:18:45,600 --> 00:18:48,280 Speaker 2: Jay Hatfield, he's the CEO, he is the founder, and 356 00:18:48,280 --> 00:18:53,280 Speaker 2: he's a portfolio manager of Infrastructure Capital Advisors. They like 357 00:18:53,320 --> 00:18:55,000 Speaker 2: preferred stocks. You don't hear that too often. 358 00:18:55,040 --> 00:18:55,720 Speaker 4: That's pretty cool. 359 00:18:56,000 --> 00:18:59,119 Speaker 5: You're listening to the Take cans Our Live program Bloomberg 360 00:18:59,200 --> 00:19:03,080 Speaker 5: Markets at ten am Eastern on Bloomberg Radio, the tune 361 00:19:03,119 --> 00:19:06,040 Speaker 5: in app, Bloomberg dot Com, and the Bloomberg Business app. 362 00:19:06,119 --> 00:19:08,919 Speaker 5: You can also listen live on Amazon Alexa from our 363 00:19:08,960 --> 00:19:14,000 Speaker 5: flagship New York station, just say Alexa playing Bloomberg eleven thirty. 364 00:19:15,000 --> 00:19:17,200 Speaker 2: Check out our next guest right away, Chris Wellen. He's 365 00:19:17,200 --> 00:19:20,359 Speaker 2: a chairman of Whalen Global Advisors. Chris, thanks so much 366 00:19:20,400 --> 00:19:23,360 Speaker 2: for joining us via zoom here. I mean, you look 367 00:19:23,359 --> 00:19:25,960 Speaker 2: at this market over the past couple of days, it's 368 00:19:26,000 --> 00:19:30,000 Speaker 2: basically telling you inflation is whipped, we've seen peak rates. 369 00:19:31,040 --> 00:19:32,480 Speaker 2: What do you take away from some of the data 370 00:19:32,480 --> 00:19:34,480 Speaker 2: we've received over the past couple of days. 371 00:19:35,720 --> 00:19:38,439 Speaker 7: Well, the fact that we're looking at data of this 372 00:19:38,760 --> 00:19:43,480 Speaker 7: maturity tells you something we should take us somewhat more 373 00:19:44,800 --> 00:19:48,280 Speaker 7: nuanced approach. I think to rates because the volatility has 374 00:19:48,359 --> 00:19:52,480 Speaker 7: been so enormous one way and another, and also the 375 00:19:52,600 --> 00:19:56,439 Speaker 7: quality of you know, forward rates. For example, the thirty 376 00:19:56,480 --> 00:19:59,480 Speaker 7: and sixty day rates in the mortgage market, which is 377 00:19:59,520 --> 00:20:03,000 Speaker 7: the found of the treasury market, by the way, has 378 00:20:03,040 --> 00:20:05,439 Speaker 7: been all over the place. So today I would tell 379 00:20:05,480 --> 00:20:08,520 Speaker 7: you the belly of the curve that contract closest to 380 00:20:08,680 --> 00:20:11,560 Speaker 7: par is still a six and a half to a seven, 381 00:20:12,160 --> 00:20:14,520 Speaker 7: So that means to make money they have to be 382 00:20:14,560 --> 00:20:18,840 Speaker 7: writing seven and three quarter percent mortgages. If not eights, 383 00:20:19,119 --> 00:20:21,679 Speaker 7: you know what I mean. So things have yet to 384 00:20:21,760 --> 00:20:24,439 Speaker 7: settle down, even though we rallied a point and yield 385 00:20:24,880 --> 00:20:30,399 Speaker 7: over the last what week. So the aspirational aspects of 386 00:20:30,440 --> 00:20:32,520 Speaker 7: this I think cannot be dismissed. 387 00:20:33,600 --> 00:20:38,840 Speaker 1: So you've got to be writing higher rate mortgages. And 388 00:20:39,160 --> 00:20:44,000 Speaker 1: how is the mortgage outlook right now, Chris, because the 389 00:20:44,040 --> 00:20:46,879 Speaker 1: housing market seems to have ground to a halt, at 390 00:20:46,960 --> 00:20:50,640 Speaker 1: least in terms of existing homes, which means probably very 391 00:20:50,640 --> 00:20:52,960 Speaker 1: few people are going out and getting those mortgages. 392 00:20:54,480 --> 00:20:58,560 Speaker 7: Well, it's largely a cash buyer's market today. You're seeing 393 00:20:58,680 --> 00:21:01,679 Speaker 7: compression above the meat, which is about four hundred and 394 00:21:01,680 --> 00:21:06,119 Speaker 7: fifty thousand dollars. By the way, the average is three thirty. 395 00:21:06,200 --> 00:21:08,800 Speaker 7: I think if you look at the mortgage bankers data, 396 00:21:09,400 --> 00:21:11,879 Speaker 7: so you know, the way I would say it is, 397 00:21:11,920 --> 00:21:15,000 Speaker 7: we were dragging the you'll curve up. So it's been 398 00:21:15,119 --> 00:21:17,840 Speaker 7: very hard for lenders to make any premium when they 399 00:21:17,880 --> 00:21:21,719 Speaker 7: sell their loans into the bond market, and that's changed 400 00:21:21,720 --> 00:21:24,600 Speaker 7: a bit. You may also see some lenders have a 401 00:21:24,640 --> 00:21:28,199 Speaker 7: good quarter because of the rate rally we've seen. You know, 402 00:21:28,240 --> 00:21:30,639 Speaker 7: we had a pretty decent quarter in the second quarter 403 00:21:30,920 --> 00:21:34,040 Speaker 7: for a lot of publicly traded lenders as well. So 404 00:21:34,160 --> 00:21:37,720 Speaker 7: when the sunshine they make hey, and I think, you know, 405 00:21:37,760 --> 00:21:40,720 Speaker 7: we'll just have to see because the next auction we 406 00:21:40,800 --> 00:21:43,360 Speaker 7: could be having a tough time and you could see 407 00:21:43,440 --> 00:21:46,760 Speaker 7: rates back up again. So for you know, mortgage lenders, 408 00:21:47,080 --> 00:21:50,040 Speaker 7: you lost a lot of money on your hedge, but 409 00:21:50,119 --> 00:21:52,440 Speaker 7: you make a lot of money on the assets that 410 00:21:52,520 --> 00:21:53,040 Speaker 7: you have. 411 00:21:53,560 --> 00:21:56,960 Speaker 1: By the way, the last auction or the auction last 412 00:21:57,000 --> 00:22:01,199 Speaker 1: week that you know, kicked things off before Powell came 413 00:22:01,240 --> 00:22:04,720 Speaker 1: out and confirmed what looked like a more hawkish bias, 414 00:22:06,000 --> 00:22:09,600 Speaker 1: was that actually affected by the ICBC hack. That's what 415 00:22:09,640 --> 00:22:12,199 Speaker 1: the early reports from the ft said. But I just 416 00:22:12,200 --> 00:22:12,760 Speaker 1: don't get it. 417 00:22:14,359 --> 00:22:16,440 Speaker 7: I don't know if there's a connection here. I do 418 00:22:16,560 --> 00:22:19,240 Speaker 7: know that some very smart people whom might have a 419 00:22:19,280 --> 00:22:23,200 Speaker 7: lot of respect for that run banks, are extremely concerned 420 00:22:23,200 --> 00:22:26,679 Speaker 7: about that hack, even though it was small, because it 421 00:22:26,800 --> 00:22:32,200 Speaker 7: implies that they're not sufficiently vigilant in terms of operational risk. 422 00:22:33,359 --> 00:22:35,960 Speaker 7: At the same time as you saw, I worry that 423 00:22:36,240 --> 00:22:41,160 Speaker 7: Secretary Yellen was essentially backed off and forced to downsize 424 00:22:41,200 --> 00:22:44,760 Speaker 7: the long bond auction because the dealers told her it 425 00:22:44,800 --> 00:22:47,439 Speaker 7: wasn't going to get done. And you still had a 426 00:22:47,480 --> 00:22:50,880 Speaker 7: spike in rains, Matt, So that worries me. It reminds 427 00:22:50,960 --> 00:22:53,119 Speaker 7: me of when I was a little younger and we 428 00:22:53,200 --> 00:22:56,920 Speaker 7: used to worry about the Treasury auctions. We haven't had 429 00:22:56,960 --> 00:22:58,399 Speaker 7: that worry at twenty years. 430 00:22:58,760 --> 00:23:01,639 Speaker 1: Yeah, but now it moves market, you know. Now you 431 00:23:01,640 --> 00:23:04,040 Speaker 1: know we had we had a bad auction and three 432 00:23:04,080 --> 00:23:06,040 Speaker 1: minutes later you saw the tail and the S and 433 00:23:06,080 --> 00:23:09,680 Speaker 1: P five hundred sold off. It makes you think maybe 434 00:23:11,040 --> 00:23:14,840 Speaker 1: yelling and whatever you call that Treasury committee had a 435 00:23:14,880 --> 00:23:16,919 Speaker 1: point when they decided not to sell you know, one 436 00:23:16,960 --> 00:23:18,679 Speaker 1: hundred year debt at zero interest. 437 00:23:20,080 --> 00:23:22,360 Speaker 7: No, they should have done it. Come on, you're a 438 00:23:22,359 --> 00:23:24,439 Speaker 7: fund manager. It doesn't matter if you work with the 439 00:23:24,480 --> 00:23:27,040 Speaker 7: Treasury or know. You obviously should have done that trade. 440 00:23:27,080 --> 00:23:30,720 Speaker 7: You should have funded infrastructure when that trade was available. 441 00:23:30,800 --> 00:23:33,240 Speaker 7: We didn't do it. We just spent the money. So 442 00:23:33,720 --> 00:23:37,440 Speaker 7: I think there's always second guessing. But today I think 443 00:23:37,480 --> 00:23:41,240 Speaker 7: Treasury is facing a lot of tactical challenges and that's 444 00:23:41,320 --> 00:23:44,080 Speaker 7: just the reality, and it will affect stocks, no question. 445 00:23:44,480 --> 00:23:46,479 Speaker 7: The banks are down. Are they cheap? I don't know? 446 00:23:47,160 --> 00:23:49,879 Speaker 7: That depends which bank, right exactly? 447 00:23:49,960 --> 00:23:53,119 Speaker 2: Hey, Chris, what we're not hearing about too much? Recently 448 00:23:53,320 --> 00:23:56,720 Speaker 2: is the commercial real estate exposure for a lot of 449 00:23:56,760 --> 00:23:58,360 Speaker 2: these banks. What's the latest on that. 450 00:24:00,160 --> 00:24:02,879 Speaker 7: Continues. You're not going to see most of it because 451 00:24:02,880 --> 00:24:07,760 Speaker 7: it's private. This occurs behind closed doors with lawyers and 452 00:24:07,760 --> 00:24:10,840 Speaker 7: these are professionals on both sides. But if you look 453 00:24:10,840 --> 00:24:13,320 Speaker 7: at some of the specialty press, like The Real Deal, 454 00:24:13,400 --> 00:24:16,359 Speaker 7: which I love, by the way, there's a lot of 455 00:24:16,359 --> 00:24:19,240 Speaker 7: stuff going on. There are assets that are being marked down. 456 00:24:20,160 --> 00:24:23,040 Speaker 7: You're going to see a whole sale markedown of rent 457 00:24:23,080 --> 00:24:27,000 Speaker 7: stabilized assets in New York after the FDIC is done 458 00:24:27,119 --> 00:24:31,840 Speaker 7: selling the signature bank properties to rent controlled properties that 459 00:24:31,960 --> 00:24:36,359 Speaker 7: frankly are unsaleable. But they're going to try. My fear, 460 00:24:36,400 --> 00:24:38,200 Speaker 7: and I think a lot of people's fear, is that 461 00:24:38,240 --> 00:24:40,639 Speaker 7: they're going to hit a very low bid to get out, 462 00:24:41,040 --> 00:24:45,000 Speaker 7: because ultimately the receivership of the FDIC is not a 463 00:24:45,080 --> 00:24:47,879 Speaker 7: long term investor. They're there to turn the assets in 464 00:24:47,920 --> 00:24:52,360 Speaker 7: the cash and try and minimize loss. That's their mandate. 465 00:24:52,960 --> 00:24:56,040 Speaker 7: So you know, they have retained a majority stake in 466 00:24:56,080 --> 00:24:59,200 Speaker 7: a lot of these buildings, Matt because nobody wants them 467 00:24:59,400 --> 00:25:01,919 Speaker 7: given the political environment in New York. Well, I have 468 00:25:02,000 --> 00:25:05,879 Speaker 7: been reading that in nineteen BNT control legislation has to 469 00:25:05,920 --> 00:25:09,800 Speaker 7: be repealed or we're going to destroy rental assets in 470 00:25:09,840 --> 00:25:12,480 Speaker 7: New York as an asset class because the banks can't 471 00:25:12,720 --> 00:25:15,600 Speaker 7: fund them. They can't, I mean, and. 472 00:25:17,920 --> 00:25:21,520 Speaker 1: Residential doesn't even look nearly as bad as office, right, 473 00:25:21,560 --> 00:25:24,160 Speaker 1: because you mentioned the real deal, and I've been reading 474 00:25:24,320 --> 00:25:27,520 Speaker 1: well that website lately, realdeal dot com, because we had 475 00:25:27,720 --> 00:25:32,080 Speaker 1: this guy in Igle Namdar, who I think maybe a 476 00:25:32,600 --> 00:25:34,679 Speaker 1: I think it's fair to call him a billionaire, certainly 477 00:25:34,680 --> 00:25:37,600 Speaker 1: when we last vetted his holdings he was in twenty 478 00:25:37,640 --> 00:25:40,200 Speaker 1: twenty one. It's like he and a couple of other 479 00:25:40,280 --> 00:25:43,920 Speaker 1: guys with whom he works are the only people buying 480 00:25:44,000 --> 00:25:46,359 Speaker 1: office in New York. No one else is trying to 481 00:25:46,359 --> 00:25:47,600 Speaker 1: catch these falling knives. 482 00:25:49,240 --> 00:25:52,640 Speaker 7: Well, you have to have a view of the real 483 00:25:52,760 --> 00:25:55,879 Speaker 7: estate value that is to say, land, and then the 484 00:25:56,000 --> 00:25:58,119 Speaker 7: asset that's on it, and whether or not it can 485 00:25:58,240 --> 00:26:02,040 Speaker 7: be utilized in what's going to be a different business case. 486 00:26:02,400 --> 00:26:03,919 Speaker 7: You know, I think a lot of people see New 487 00:26:04,000 --> 00:26:08,960 Speaker 7: York going to a largely residential configuration. But I don't 488 00:26:08,960 --> 00:26:11,560 Speaker 7: think you can pay for this city unless you have 489 00:26:11,720 --> 00:26:15,800 Speaker 7: business as a partner. And that's what's going to change. 490 00:26:15,960 --> 00:26:19,040 Speaker 7: We have got to stop attacking the business community because 491 00:26:19,040 --> 00:26:22,159 Speaker 7: they'll leak, and they did. But they went down south 492 00:26:22,200 --> 00:26:24,120 Speaker 7: and built a lot of new buildings, and now we're 493 00:26:24,200 --> 00:26:28,720 Speaker 7: overbuilt in Texas, We're overbuilt in some other markets. No, seriously, 494 00:26:28,760 --> 00:26:31,919 Speaker 7: the herd left. They were told to leave, you know, 495 00:26:32,040 --> 00:26:35,000 Speaker 7: by the Democrats of New York, and they did because 496 00:26:35,040 --> 00:26:39,600 Speaker 7: the capital is mobile Miami, Matt you'd spent time down there, insane, 497 00:26:40,000 --> 00:26:42,760 Speaker 7: and then look at around the region, look at the 498 00:26:42,800 --> 00:26:45,600 Speaker 7: Canal Zone, look at some other cities in the region. 499 00:26:45,640 --> 00:26:49,880 Speaker 7: They're all getting buried in investment in commercial real estate, 500 00:26:50,000 --> 00:26:51,120 Speaker 7: residential real estate. 501 00:26:51,280 --> 00:26:53,720 Speaker 1: I hope what happens in Miami stays in Miami, because 502 00:26:53,720 --> 00:26:54,679 Speaker 1: I have spent some time. 503 00:26:55,000 --> 00:26:58,760 Speaker 7: Look at thee look at the Canal Zone, and Panama 504 00:26:58,880 --> 00:27:01,320 Speaker 7: looks just like Miami, big empty buildings. 505 00:27:02,040 --> 00:27:05,280 Speaker 1: Yes, okay, Hey, you write a lot for the Institutional 506 00:27:05,640 --> 00:27:12,119 Speaker 1: Risk Analyst, and one of your posts recently big whate 507 00:27:12,200 --> 00:27:16,000 Speaker 1: rising debt service and following liquidity. You're writing about, you know, 508 00:27:16,040 --> 00:27:18,879 Speaker 1: the mortgage and the lending business. But I'm thinking about 509 00:27:18,920 --> 00:27:21,199 Speaker 1: the US and I wonder what is your take on 510 00:27:22,000 --> 00:27:24,560 Speaker 1: the fact that we're going to have nine hundred billion 511 00:27:24,640 --> 00:27:29,080 Speaker 1: dollars in interest rate servicing costs. Next year does that change? 512 00:27:29,119 --> 00:27:31,200 Speaker 1: Do you see rates coming down and that gets better 513 00:27:31,400 --> 00:27:33,680 Speaker 1: or is that something that Washington can fix somehow. 514 00:27:35,080 --> 00:27:39,159 Speaker 7: Well, Washington has got to start reducing the deficit. I 515 00:27:39,200 --> 00:27:43,040 Speaker 7: know that's not fashionable, but from a tactical perspective, just 516 00:27:43,160 --> 00:27:46,840 Speaker 7: looking at the cash balances the Treasury has to maintain 517 00:27:47,359 --> 00:27:51,879 Speaker 7: in order to move payments around, it's a problem. You know. 518 00:27:51,960 --> 00:27:55,280 Speaker 7: The Fed collateralized is all of that, Matthew. They go 519 00:27:55,359 --> 00:27:59,840 Speaker 7: out and buy bonds to collateralize the Treasury General account 520 00:27:59,840 --> 00:28:04,280 Speaker 7: and that's a market moving event too. So the size 521 00:28:04,320 --> 00:28:07,320 Speaker 7: of the Treasury is becoming an issue in the markets. 522 00:28:07,359 --> 00:28:11,000 Speaker 7: We're seeing crowding out come back as a novel concept 523 00:28:11,080 --> 00:28:15,240 Speaker 7: right in economic thinking because it's so obvious. You know, 524 00:28:15,359 --> 00:28:18,240 Speaker 7: luckily housing is down. The imagine if we were trying 525 00:28:18,240 --> 00:28:20,800 Speaker 7: to finance four or five trillion dollars this year in 526 00:28:20,880 --> 00:28:24,439 Speaker 7: housing at the same time Treasury was out raising all 527 00:28:24,480 --> 00:28:27,200 Speaker 7: this money. We're going to do a trillion five this year? 528 00:28:27,400 --> 00:28:28,600 Speaker 7: Nothing all right? 529 00:28:28,640 --> 00:28:30,640 Speaker 1: So Chris, I got to wrap you up there, unfortunately 530 00:28:30,640 --> 00:28:33,399 Speaker 1: for time. But Chris Whalen love to get your insight 531 00:28:33,560 --> 00:28:36,760 Speaker 1: on the industry. He is the institutional risk analyst and 532 00:28:36,840 --> 00:28:39,880 Speaker 1: also chairman of Whalen Global Advisors. 533 00:28:40,400 --> 00:28:42,960 Speaker 5: You're listening to the tape can to our live program 534 00:28:43,000 --> 00:28:46,960 Speaker 5: Bloomberg Markets weekdays at ten am Eastern on Bloomberg Radio, 535 00:28:47,120 --> 00:28:49,840 Speaker 5: the tune in app, Bloomberg dot Com, and the Bloomberg 536 00:28:49,880 --> 00:28:52,960 Speaker 5: Business App. You can also listen live on Amazon Alexa 537 00:28:53,040 --> 00:28:56,320 Speaker 5: from our flagship New York station. Just say Alexa play 538 00:28:56,440 --> 00:28:57,760 Speaker 5: Bloomberg eleven thirty. 539 00:29:00,080 --> 00:29:04,160 Speaker 2: The stock market likes biotech. Stock market likes AI. So 540 00:29:04,160 --> 00:29:08,240 Speaker 2: how about an AI inspired biotech company? And how about 541 00:29:08,240 --> 00:29:10,840 Speaker 2: an AI inspired biotech company that has a new shareholder 542 00:29:10,840 --> 00:29:14,040 Speaker 2: disclosed just today? That would be Kathy Woods Arc Funds. 543 00:29:14,200 --> 00:29:16,840 Speaker 2: You put it all together, Matt stocks up sixteen percent. 544 00:29:16,840 --> 00:29:20,479 Speaker 2: We're talking about Recursion Pharmaceuticals as symbol as our x 545 00:29:20,680 --> 00:29:24,080 Speaker 2: r X, and we just happened to have Tina Marriott 546 00:29:24,120 --> 00:29:28,400 Speaker 2: Larson and president and CEO COO of Recursion Pharmaceuticals with us. 547 00:29:28,400 --> 00:29:31,040 Speaker 2: So that's that's a coincidence to serendipity. I guess I 548 00:29:31,040 --> 00:29:31,640 Speaker 2: don't know which you want. 549 00:29:31,680 --> 00:29:32,080 Speaker 4: That's all it. 550 00:29:32,160 --> 00:29:35,560 Speaker 1: Face ripping rally, face ripping rally. 551 00:29:35,400 --> 00:29:40,760 Speaker 2: Tina, what what have you learned about your new shareholder today? 552 00:29:42,000 --> 00:29:45,320 Speaker 8: Well, thank you. I don't usually use the term face ripping, 553 00:29:45,440 --> 00:29:48,040 Speaker 8: but I appreciate the introduction. Great to be here, Paul 554 00:29:48,160 --> 00:29:52,160 Speaker 8: and that, and yeah, like like all of our shareholders, 555 00:29:52,360 --> 00:29:56,120 Speaker 8: it's great to have these strategic, long term thinking shareholders 556 00:29:56,120 --> 00:29:59,720 Speaker 8: that really share our vision for the future of where 557 00:30:00,520 --> 00:30:03,120 Speaker 8: the biotech industry going, the tech industry is going, and 558 00:30:03,120 --> 00:30:06,560 Speaker 8: really the opportunity to use technology to create the next 559 00:30:06,600 --> 00:30:08,600 Speaker 8: generation of biopharmaceutical company. 560 00:30:09,760 --> 00:30:14,000 Speaker 1: So what kind of strides are you making Because you know, 561 00:30:14,040 --> 00:30:18,080 Speaker 1: it's great to have a very famous and you know, 562 00:30:18,200 --> 00:30:22,960 Speaker 1: followed shareholder. It's great to see your stock takeoff in 563 00:30:23,080 --> 00:30:25,280 Speaker 1: double digit gains. But at the end of the day, 564 00:30:25,760 --> 00:30:30,680 Speaker 1: I imagine your ultimate goal is I guess curing cancer, right. 565 00:30:30,720 --> 00:30:32,560 Speaker 1: I see that you do a ton of oncology work 566 00:30:32,560 --> 00:30:35,400 Speaker 1: in partnership with some of the biggest names in the business. 567 00:30:35,480 --> 00:30:38,640 Speaker 1: So how is adding AI to the mix getting you 568 00:30:38,720 --> 00:30:39,520 Speaker 1: closer to that goal? 569 00:30:41,040 --> 00:30:43,640 Speaker 8: Yeah? Absolutely, cancer is a big focus for us, and 570 00:30:43,680 --> 00:30:46,920 Speaker 8: as you mentioned our partnerships, we recently announced an expansion 571 00:30:47,120 --> 00:30:49,680 Speaker 8: of our long term partnership with Buyer. We're going to 572 00:30:49,680 --> 00:30:52,440 Speaker 8: be working on up the seven new oncology programs with them, 573 00:30:52,600 --> 00:30:56,040 Speaker 8: applying the latest and greatest version of our technology platform. 574 00:30:56,840 --> 00:31:00,240 Speaker 8: In October, we announced the first milestone and option from 575 00:31:00,280 --> 00:31:05,360 Speaker 8: our partnership with Rosian Genetech, which was in oncology as well, 576 00:31:05,880 --> 00:31:08,440 Speaker 8: and so we're definitely focused on oncology as well as 577 00:31:08,480 --> 00:31:11,360 Speaker 8: other areas like neuroscience and once again with our partners 578 00:31:11,360 --> 00:31:14,880 Speaker 8: at Genetech Roach. So we're really seeing great progress in 579 00:31:14,920 --> 00:31:19,280 Speaker 8: implying these technology platforms, this emerging field of tech bio 580 00:31:19,760 --> 00:31:22,520 Speaker 8: to really improve the outcomes in the way that we 581 00:31:22,600 --> 00:31:24,840 Speaker 8: do R and D research to discover, well, what are. 582 00:31:24,800 --> 00:31:27,280 Speaker 1: The most important breakthroughs that you've made, or what are 583 00:31:27,280 --> 00:31:30,080 Speaker 1: some breakthroughs that you're hoping to make? You know, this 584 00:31:30,200 --> 00:31:33,200 Speaker 1: is what these are the moon shots that Wall Street 585 00:31:33,240 --> 00:31:35,040 Speaker 1: bets on. What's yours? 586 00:31:36,600 --> 00:31:39,760 Speaker 8: Yeah, absolutely, and so we are industrializing drug discovery. So 587 00:31:39,760 --> 00:31:43,720 Speaker 8: if you think about the way that many small biotech 588 00:31:43,760 --> 00:31:45,840 Speaker 8: companies maybe they're looking for one or two drugs and 589 00:31:45,920 --> 00:31:50,000 Speaker 8: very targeted areas of biology or very specific areas, say 590 00:31:50,000 --> 00:31:55,160 Speaker 8: of cancer, we're actually looking across human biology. Our mission 591 00:31:55,200 --> 00:31:58,960 Speaker 8: is decoding human biology to radically improve lives, and we're 592 00:31:59,040 --> 00:32:00,800 Speaker 8: using the technology to do that. And so you see 593 00:32:00,800 --> 00:32:03,240 Speaker 8: that we have bets in neuroscience. We have bets and oncology. 594 00:32:03,400 --> 00:32:06,520 Speaker 8: We have our own internal pipeline of molecules in things 595 00:32:06,520 --> 00:32:08,480 Speaker 8: like rare disease and oncology, and we're actually going to 596 00:32:08,480 --> 00:32:12,720 Speaker 8: see our first readouts. We're anticipating those next year for 597 00:32:12,840 --> 00:32:16,719 Speaker 8: our internally developed drugs. But ultimately the goal is to 598 00:32:16,960 --> 00:32:20,640 Speaker 8: scale and industrialize so that you know, in the same 599 00:32:20,680 --> 00:32:23,719 Speaker 8: way that other industries have been disrupted by technology, so 600 00:32:23,760 --> 00:32:26,880 Speaker 8: that we can bring better patients, better medicines to patients, 601 00:32:26,880 --> 00:32:28,520 Speaker 8: faster and more cost effectively. 602 00:32:28,800 --> 00:32:32,680 Speaker 2: So specifically for your company, Recursion Pharmaceuticals, what do you 603 00:32:32,720 --> 00:32:35,120 Speaker 2: guys do, What is your technology? How do you bring 604 00:32:35,560 --> 00:32:38,880 Speaker 2: AI or just technology brolding tofine to the you know, 605 00:32:38,920 --> 00:32:41,000 Speaker 2: the pharmaceutical in the biotech space. 606 00:32:43,040 --> 00:32:46,400 Speaker 8: Yeah, it really starts with data sets. And so I 607 00:32:46,480 --> 00:32:48,600 Speaker 8: like to use the Google Maps analogy quite a bit. 608 00:32:48,800 --> 00:32:51,800 Speaker 8: I'm old enough to have navigated around say Washington, DC 609 00:32:52,080 --> 00:32:55,280 Speaker 8: using a Rand McNally atlas, and that was pretty hard 610 00:32:56,520 --> 00:32:58,520 Speaker 8: and you know, at night after you'd like land there 611 00:32:58,600 --> 00:33:02,720 Speaker 8: on a plane and so and what Google Maps revolutionized 612 00:33:02,840 --> 00:33:06,960 Speaker 8: that part of our lives by both creating great data 613 00:33:07,000 --> 00:33:10,920 Speaker 8: sets of the Earth of cities of maps and also 614 00:33:11,000 --> 00:33:14,320 Speaker 8: creating the algorithms and computational technology in order to analyze 615 00:33:14,320 --> 00:33:17,160 Speaker 8: those large data sets. So the analogy to what Recursion 616 00:33:17,240 --> 00:33:20,240 Speaker 8: is doing is that we are creating data sets. We 617 00:33:20,320 --> 00:33:24,080 Speaker 8: have twenty petabytes of data, twenty five petabytes of data. Actually, 618 00:33:24,080 --> 00:33:26,560 Speaker 8: it grows so fast that we have actually grown in 619 00:33:26,680 --> 00:33:29,040 Speaker 8: house here in our laboratories. To the right of me, 620 00:33:29,160 --> 00:33:32,320 Speaker 8: there's a whole bunch of robots doing science right now, 621 00:33:32,360 --> 00:33:35,880 Speaker 8: creating these in house data sets, modeling the human body 622 00:33:36,520 --> 00:33:38,800 Speaker 8: right here in the laboratory. And then we add data 623 00:33:38,840 --> 00:33:41,400 Speaker 8: sets like we recently announced that we have developed a 624 00:33:41,440 --> 00:33:44,840 Speaker 8: partnership with Tempest, and they have real world data, so 625 00:33:44,880 --> 00:33:48,520 Speaker 8: we have preferred access now to over twenty petabytes of 626 00:33:48,600 --> 00:33:52,640 Speaker 8: data from one hundred thousand actual cancer patients and the 627 00:33:52,680 --> 00:33:55,120 Speaker 8: outcomes of those patients have had out in the real world. 628 00:33:55,360 --> 00:33:58,040 Speaker 8: So we're constructing these very large data sets and then 629 00:33:58,120 --> 00:34:01,440 Speaker 8: using tools like machine learning and artificial intelligence in order 630 00:34:01,520 --> 00:34:05,320 Speaker 8: to use that model of biology to find new medicines 631 00:34:05,440 --> 00:34:09,120 Speaker 8: for diseases that today are underserved or unserved and have 632 00:34:09,200 --> 00:34:12,400 Speaker 8: been intractable previously for the industry to find pures. 633 00:34:12,480 --> 00:34:14,840 Speaker 1: It's hard for a normal person to know what a 634 00:34:14,840 --> 00:34:19,680 Speaker 1: petabyte is, even even if you Google it, apparently it's 635 00:34:19,719 --> 00:34:21,160 Speaker 1: a thousand terabytes. 636 00:34:22,640 --> 00:34:22,960 Speaker 5: I don't. 637 00:34:23,840 --> 00:34:26,600 Speaker 8: One of the one of the fun analogies we have 638 00:34:26,920 --> 00:34:31,680 Speaker 8: used here is that every high definition film ever made 639 00:34:32,320 --> 00:34:34,719 Speaker 8: is a few petabytes, and so we have far, far, 640 00:34:34,800 --> 00:34:37,560 Speaker 8: far more data than every if you had you streamed 641 00:34:37,600 --> 00:34:40,359 Speaker 8: every movie ever made in high definition. So these are very, 642 00:34:41,040 --> 00:34:41,479 Speaker 8: very large. 643 00:34:41,640 --> 00:34:43,239 Speaker 1: Nice Paul is actually on a mission to do that 644 00:34:43,360 --> 00:34:46,880 Speaker 1: right now, exactly streaming every single HD movie on the 645 00:34:47,640 --> 00:34:49,320 Speaker 1: New Jersey Transit transit. 646 00:34:49,520 --> 00:34:51,080 Speaker 2: So, Tina, I mean like. 647 00:34:51,000 --> 00:34:53,600 Speaker 8: A thousand years, Paul, I know, I know, I had 648 00:34:53,600 --> 00:34:54,320 Speaker 8: a long commute. 649 00:34:54,960 --> 00:34:58,440 Speaker 2: So Tina, talk to us. Is the biotech industry is 650 00:34:58,480 --> 00:35:02,080 Speaker 2: it open to this type of technology coming into what 651 00:35:02,120 --> 00:35:05,200 Speaker 2: had been historically, you know, just very I don't know, 652 00:35:05,680 --> 00:35:06,640 Speaker 2: science y stuff. 653 00:35:08,400 --> 00:35:13,040 Speaker 8: Yeah, I think the openness is growing. You know my background, 654 00:35:13,120 --> 00:35:16,960 Speaker 8: I spent decades ago at the revolution of biotechnology. I 655 00:35:17,000 --> 00:35:19,680 Speaker 8: was at the Genetech, the company that led the biotech 656 00:35:19,719 --> 00:35:21,920 Speaker 8: revolution of our industry when we hit an R and D. 657 00:35:22,880 --> 00:35:25,440 Speaker 8: They're one of our biggest partners now and now being 658 00:35:25,440 --> 00:35:27,840 Speaker 8: at this cutting this leading of the tech bio revolution, 659 00:35:28,080 --> 00:35:32,040 Speaker 8: and even a few years ago when I joined our 660 00:35:32,080 --> 00:35:34,360 Speaker 8: co founder and CEO, Chris Gibson Here at Recursion, there 661 00:35:34,480 --> 00:35:37,719 Speaker 8: was still a lot of skepticism about how AI and 662 00:35:37,719 --> 00:35:40,640 Speaker 8: technology was going to change things. I think now that 663 00:35:40,800 --> 00:35:45,680 Speaker 8: artificial intelligence has become so much more broadly impacting our lives, 664 00:35:45,719 --> 00:35:48,879 Speaker 8: you know, across industries now that that kind of skepticism 665 00:35:48,920 --> 00:35:51,239 Speaker 8: really has switched to curiosity. And I think now you 666 00:35:51,320 --> 00:35:55,759 Speaker 8: see large pharmaceutical companies really trying to craft their AI strategies, 667 00:35:55,800 --> 00:35:59,440 Speaker 8: getting really curious about how this is going to revolutionize 668 00:35:59,440 --> 00:36:02,200 Speaker 8: the companies. So I think we've kind of transited most 669 00:36:02,200 --> 00:36:06,560 Speaker 8: of that skepticism as to if technology and computational technology 670 00:36:06,880 --> 00:36:09,800 Speaker 8: revolutionizes the industry. And now the question is how. 671 00:36:10,200 --> 00:36:14,160 Speaker 2: Hey, Tina, really fascinating discussion. I really appreciated Tina. Marriotte Larsen, 672 00:36:14,600 --> 00:36:19,520 Speaker 2: President and Coe of Recursion Pharmaceuticals. Ticker symbols our ex ore, ex'es, 673 00:36:19,560 --> 00:36:22,480 Speaker 2: and Nastak traded stock. And it was just disclosed today 674 00:36:22,480 --> 00:36:26,640 Speaker 2: that Kathy Woods our funds have acquired a stake in 675 00:36:26,640 --> 00:36:27,120 Speaker 2: this company. 676 00:36:27,440 --> 00:36:31,400 Speaker 1: But our producer, Eric Molo booked Tina for the show 677 00:36:31,520 --> 00:36:34,600 Speaker 1: before four. We knew that, and in fact he booked 678 00:36:34,680 --> 00:36:39,640 Speaker 1: Chris the founder back in July. Wow, so he essentially 679 00:36:39,680 --> 00:36:40,880 Speaker 1: beat Kathy Wood to it. 680 00:36:41,000 --> 00:36:42,799 Speaker 2: I know now that d he buy any stocked did 681 00:36:42,800 --> 00:36:44,640 Speaker 2: mister mollel. I'm guessing the fact that he's still back 682 00:36:44,640 --> 00:36:46,160 Speaker 2: there behind the other side of the glass, that the 683 00:36:46,160 --> 00:36:48,880 Speaker 2: answer is no. But we appreciate the booking. 684 00:36:49,040 --> 00:36:54,799 Speaker 1: Nevertheless, thanks for listening to the Bloomberg Markets podcast. You 685 00:36:54,840 --> 00:36:58,239 Speaker 1: can subscribe and listen to interviews at Apple Podcasts or 686 00:36:58,400 --> 00:37:02,120 Speaker 1: whatever podcast platform you refer. I'm Matt Miller. I'm on 687 00:37:02,200 --> 00:37:04,719 Speaker 1: Twitter at Matt Miller nineteen seventy three. 688 00:37:05,160 --> 00:37:06,080 Speaker 4: And I'm Faul Sweeney. 689 00:37:06,080 --> 00:37:08,680 Speaker 2: I'm on Twitter at pt Sweeney. Before the podcast, you 690 00:37:08,719 --> 00:37:11,080 Speaker 2: can always catch us worldwide at Bloomberg Radio