WEBVTT - Rates, China, Crypto, and Math (Podcast)

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside

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<v Speaker 1>my co host Matt Miller. Every business day we bring

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<v Speaker 1>you interviews from CEOs, market pros, and Bloomberg experts, along

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<v Speaker 1>with essential market moving news. Find the Bloomberg Markets Podcast

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<v Speaker 1>on Apple Podcasts or wherever you listen to podcasts, and

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<v Speaker 1>at Bloomberg dot com slash podcast. I don't know I

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<v Speaker 1>got my Paul Sweeney personal inflation meter, otherwise known as

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<v Speaker 1>unletted gas. It's continues to roll over. There's students, especially

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<v Speaker 1>if you're at sheets in Newark, Ohio. First exactly, they're

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<v Speaker 1>giving it away. Practically, we're seeing in other parts of

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<v Speaker 1>the economy inflation A lot of people tell me has peaked.

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<v Speaker 1>If that's in fact the case, why doesn't Ira Jersey's

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<v Speaker 1>feed to reserve just put the brakes on it. Let's ask, right,

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<v Speaker 1>he's chief US interest rate strategist for Bloomberg Intelligence, and

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<v Speaker 1>we need to save some time to talk about World

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<v Speaker 1>Cup here. Matt remind me on that. I know, but

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<v Speaker 1>we're not going to talk about Amazon because Ira has

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<v Speaker 1>such a cushy job. All he focuses on in sector, Ira,

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<v Speaker 1>why don't you broaden your remit a little bit. I mean,

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<v Speaker 1>the whole rate space is there for you. Well, my, well,

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<v Speaker 1>so we have a credit strategist named Noel Hebert who

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<v Speaker 1>covers corporates, so you can talk to him about what's

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<v Speaker 1>going on in the text space and all the other

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<v Speaker 1>sectors within within the corporate landscape. So also, I think

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<v Speaker 1>it's fair actually, now that I think about it, considering

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<v Speaker 1>the amount of FED speak out there, we need one

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<v Speaker 1>guy that's just focused on that. Like, why did they

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<v Speaker 1>come out and talk so much? Doesn't that annoy J? Powell? Uh, yeah,

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<v Speaker 1>it would have annoyed down in Greenspan for sure. Um. Yeah.

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<v Speaker 1>You know, the FED over the last twenty years has

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<v Speaker 1>gotten very democratized and and there's just I think there's

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<v Speaker 1>just been this push that all the members are um,

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<v Speaker 1>you know, wanted to say things, and then they when

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<v Speaker 1>they once they started too, it was hard to kind

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<v Speaker 1>of put the genie back in the bottle. J. Powell. Certainly,

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<v Speaker 1>it's still the mouthpiece for the entire Federal Reserve, and

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<v Speaker 1>I think that his what he says matters obviously the most.

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<v Speaker 1>And then um, but every member you know, wants to

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<v Speaker 1>have their say, and you know from from an analysis perspective,

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<v Speaker 1>it's a little bit easier for us too to determine

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<v Speaker 1>things like where the dots are and and maybe who's

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<v Speaker 1>who's really hawkish and dobbish visa be what you could

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<v Speaker 1>do before Alan Greenspan or you know, left the Fed Reserve,

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<v Speaker 1>because back then it was like, okay, it's whatever Alan

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<v Speaker 1>Greenspan says. And but every once in a while you

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<v Speaker 1>had some members that were more hawkish or dovish than him,

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<v Speaker 1>and they would dissent and we didn't necessarily know in

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<v Speaker 1>advance if they would. And now it's it's a little

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<v Speaker 1>bit easier to determine, you know what, what the leaning

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<v Speaker 1>of a majority or of the or or a significant

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<v Speaker 1>minority of the Fed Reserve is going to be. Well.

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<v Speaker 1>And now then to Paul's point, um, it does seem

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<v Speaker 1>it's not just him, right. A lot of people think

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<v Speaker 1>inflation has peaked now, even though we've only gotten a

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<v Speaker 1>very small set of numbers to corroborate that. But the

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<v Speaker 1>speakers for the most part are talking about a step down,

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<v Speaker 1>a reduction in the rate hike increases that we've seen.

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<v Speaker 1>So have we reached that point? I mean, are we

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<v Speaker 1>looking at something of a pivot. Yeah, so you know,

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<v Speaker 1>this is something that actually that J. Powell has been

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<v Speaker 1>mentioning since uh since July. Right, So it's not this

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<v Speaker 1>isn't a new concept, and that this step down in

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<v Speaker 1>the pace of hikes. They weren't going to hike at

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<v Speaker 1>seventy five basis points every single meeting forever, right, So

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<v Speaker 1>at some point they were going to have to slow

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<v Speaker 1>the pace or just stop. And and I think in

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<v Speaker 1>December they're only going to go fifty. I think they'll

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<v Speaker 1>go then after that, And and I mentioned to you

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<v Speaker 1>guys before you know, they're going to go to the

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<v Speaker 1>basis point. UM moved again, probably starting in at the

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<v Speaker 1>February meeting, the February first meeting, because it allows them

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<v Speaker 1>just to calibrate just a little bit more like should

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<v Speaker 1>they go to five on the upper round of the

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<v Speaker 1>Fed funds target? Should they go to five and a

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<v Speaker 1>quarter like some people, UM think they should go. So

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<v Speaker 1>by by going in twenty five, they can just calibrate

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<v Speaker 1>towards the end of hikes. But but I think the

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<v Speaker 1>important point there is that to paulse question is that, yes,

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<v Speaker 1>inflation seems like it's rolled over, the economy is slowing

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<v Speaker 1>a bit and because of that that the FED is

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<v Speaker 1>nearing the end of their hikes. Whether or not they

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<v Speaker 1>go another another fifty seventy five hundred basis points, it's

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<v Speaker 1>still the end is still in sight. And I think

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<v Speaker 1>that that's the important part point for the markets right now.

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<v Speaker 1>All right, that's enough on the rates market. Let's get

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<v Speaker 1>the important stuff. Two pm. Wall Street Time today, US Iran.

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<v Speaker 1>How do you think this is going to go? Especially

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<v Speaker 1>in a World Cup where literally anyone can win. Yes,

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<v Speaker 1>it seems like it. So I think for Iran, given

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<v Speaker 1>that they they beat Whales, they're gonna probably play pretty

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<v Speaker 1>defensively against US and try to put you know, nine

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<v Speaker 1>or ten guys behind the ball and just trying and

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<v Speaker 1>try to beat us on on a counter attack. And

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<v Speaker 1>and historically, if you go look at what the US

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<v Speaker 1>has done against other countries in North and Central America

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<v Speaker 1>that they play that that we play in the Gold Cup,

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<v Speaker 1>we we tend to have a pretty hard time breaking

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<v Speaker 1>down very what we call bunker defenses. So um so

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<v Speaker 1>I think that that you know, I hate to say this,

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<v Speaker 1>but this is gonna be probably a one goal game,

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<v Speaker 1>and I think it will be, you know, maybe one

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<v Speaker 1>nail to the US and in the end, um, but

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<v Speaker 1>and and if we do score early, I think that

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<v Speaker 1>that will get that will get I ran out of

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<v Speaker 1>their bunker, because they're in order for them to continue

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<v Speaker 1>and actually make it to the next round, they're going

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<v Speaker 1>to have to then play to to at least draw

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<v Speaker 1>the US. And how much does historically matter? I mean,

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<v Speaker 1>in a in a contest where Saudi Arabia beats Argentina,

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<v Speaker 1>is that because Saudi Arabia historically is great at soccer

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<v Speaker 1>and Argentina is horrible? No? Not, not not at all,

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<v Speaker 1>I think I Well, in rewatching, that's the percentage history,

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<v Speaker 1>you know, I mean, um, compared to chance. Well, well,

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<v Speaker 1>let me say this firstly, I think any of these

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<v Speaker 1>teams could be any any other team on a on

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<v Speaker 1>any given day. I mean, that's one of the that's

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<v Speaker 1>like almost every sport, right, especially when you're talking about

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<v Speaker 1>high level professional athletes. I think in that Argentina Sordi

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<v Speaker 1>Arabia game, I think Argentina came out a bit flat.

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<v Speaker 1>I think that their defense has some holes in it.

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<v Speaker 1>That um that you know, Saudi Arabia certainly exploited and um,

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<v Speaker 1>so you know, but that's a one off game. I think,

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<v Speaker 1>you know, taking the games the afternoon, um as in

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<v Speaker 1>a bubble. I think the US has the more talented players,

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<v Speaker 1>but I Ran does play very compact. They are very

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<v Speaker 1>organized defensively, and and that's going to create problems for

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<v Speaker 1>the US. All Right, it's good stuff. I think it's

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<v Speaker 1>gonna be musty TV for a lot of sports fans today,

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<v Speaker 1>even if you're not a Soccer World Cup fan. Our

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<v Speaker 1>Jersey chief US Interest rate strategist and Chief Soccer strategists

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<v Speaker 1>slash football strategist for Bloomberg Intelligence. Over the last few days,

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<v Speaker 1>you know, surprised me. To me, I guess it's just

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<v Speaker 1>I've really been kind of moving in response to kind

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<v Speaker 1>of some of the news we're getting out of China,

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<v Speaker 1>and I guess that goes to the whole global economic

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<v Speaker 1>you know, reopening, recession risk, all those types of things

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<v Speaker 1>on global scale is obviously economy. So we wait to

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<v Speaker 1>talk to people who have got some experience thinking about

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<v Speaker 1>investing in that part of the world. Uh Hans Dout

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<v Speaker 1>is one of those people who's the CEO of Mitchell

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<v Speaker 1>Madison Group, and I think that his claim to fame

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<v Speaker 1>as he is an undergraduate from the University of Michigan,

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<v Speaker 1>who have had a an extraordinarily successful weekend. So Hans,

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<v Speaker 1>let me get your your thoughts here on the Higher

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<v Speaker 1>State Michigan game. You guys know what went to Dartmouth, right, Yes,

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<v Speaker 1>you got your m right, but I thought you got

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<v Speaker 1>your b A from the university. I did not. I

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<v Speaker 1>did not about that, thank god. Okay, so you know

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<v Speaker 1>we had a Michigan guy coming on, and I will

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<v Speaker 1>say you know that Michigan played an incredible game on Saturday,

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<v Speaker 1>and Ohio State simply did not show up. I don't

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<v Speaker 1>know where our defensive coordinator was. He didn't seem to

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<v Speaker 1>be working that day, even though I thought that's why

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<v Speaker 1>we hired him. All of this means nothing to Hans

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<v Speaker 1>Doll because he didn't go to Michigan. No, but he

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<v Speaker 1>got his NBA qualified. Alright, let's let's pivot to the

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<v Speaker 1>China first. Let's talk about your China bona fides then,

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<v Speaker 1>because I know that you have made uh substantial contributions

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<v Speaker 1>to the tang In Song law and um you have

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<v Speaker 1>helped US government officials understand China and Chinese legal history.

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<v Speaker 1>How did you get into China going to school in Germany?

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<v Speaker 1>And then UM in Vermont. Well, well, we basically a

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<v Speaker 1>consulting firm, right, so we most of what we did

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<v Speaker 1>over the last decade or so, it's help American companies

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<v Speaker 1>established UM production of China, sourcing from China, right, So

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<v Speaker 1>my main business has been strategic sourcing, helping Western companies

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<v Speaker 1>established you know, production and uh, you know sourcing agreement

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<v Speaker 1>all over the world. Of course in China in particular lately,

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<v Speaker 1>we've actually helped a lot of Chinese companies be more

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<v Speaker 1>efficient within China. And of course since COVID, that whole

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<v Speaker 1>business does nothing going on. I mean, you and I

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<v Speaker 1>spent a lot of time going to China before COVID.

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<v Speaker 1>I was actually part of the UM. I was in

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<v Speaker 1>Hong Kong doing the protests and everything, and I thought

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<v Speaker 1>that was going to actually result in something, but it didn't.

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<v Speaker 1>Right in, the Chinese clearly clamped down on this, And

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<v Speaker 1>I think we're just living in the world that looks

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<v Speaker 1>quite different from from the world that you know existed

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<v Speaker 1>before COVID, because you know, China is on number one

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<v Speaker 1>too political rival, there's no doubt about that. And you're

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<v Speaker 1>looking at the zero COVID policies causing you know, lots

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<v Speaker 1>of issues politically, and you know, the staw, the protests,

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<v Speaker 1>the markets up a little bit. I guess people are

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<v Speaker 1>more optimistic, but still um. You know, you look at

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<v Speaker 1>at the policy response and it seems to me that

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<v Speaker 1>they are. There's an element of political obsession, you know,

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<v Speaker 1>with zero COVID policy, of course, but there's also maybe

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<v Speaker 1>an element of the fact that China has to flatten

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<v Speaker 1>the curve more than we had to do, right, because

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<v Speaker 1>the vaccination rates aren't very good, especially among people, and

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<v Speaker 1>maybe the hospital capacity and the medical system isn't as

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<v Speaker 1>good as as they make us believe, right, So that's

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<v Speaker 1>going going to continue a thing. Can you help us

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<v Speaker 1>understand why j and ping Um continues to stick to

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<v Speaker 1>this COVID zero policy. Why not you know, mass vaccinations.

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<v Speaker 1>They have the supply chains to make stuff, right, they

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<v Speaker 1>have the authority to order people to take stuff. Why

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<v Speaker 1>not deal with it that way rather than this way.

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<v Speaker 1>I mean they have done to certain extent, right, So

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<v Speaker 1>you have about ninety ciment population is vaccine it twice

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<v Speaker 1>the lowest vaccination rates are among people over eighty, which

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<v Speaker 1>is very concerning. I think they're old enough to remember

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<v Speaker 1>the good old base and they don't trust the government. Uh.

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<v Speaker 1>And and you have the vaccine is you know, far

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<v Speaker 1>less effective than than than MR and A technology. It's

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<v Speaker 1>not style vaccine. Um. And I think you have the

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<v Speaker 1>I mean, you can't really trust the numbers are China, right,

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<v Speaker 1>I mean, I do not believe that the hospital capacity

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<v Speaker 1>is as good as they claim it would be. And

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<v Speaker 1>if they have a major outbreak with the with the

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<v Speaker 1>more you infectious variants, um, you know, one to two

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<v Speaker 1>million people would die and would make the leadership look

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<v Speaker 1>really bad, right, And I think that's why they're not

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<v Speaker 1>doing it. They're they're easing us a little bit. I

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<v Speaker 1>think they're walking this fine line between you know, protests

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<v Speaker 1>and and and people you know, sense of complaining and

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<v Speaker 1>and and all that. But it's the old flatan in

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<v Speaker 1>the curve that you're going to get it right eventually.

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<v Speaker 1>So over the long haul, you're gonna get it. Yeah,

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<v Speaker 1>of course. Well look Miracle said that right at the

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<v Speaker 1>very beginning of the pandemic before when we all thought

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<v Speaker 1>it was crazy. She said, I think sixty people are

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<v Speaker 1>going to end up getting COVID and we thought this

0:11:45.440 --> 0:11:50.120
<v Speaker 1>is in March of that's nuts. And she turned out there. So, Hans,

0:11:50.280 --> 0:11:53.400
<v Speaker 1>how do you we we've all recognized that the Chinese

0:11:53.400 --> 0:11:56.400
<v Speaker 1>governments in a very difficult position here. How do you

0:11:56.440 --> 0:12:01.600
<v Speaker 1>actually think this ultimately plays out? It's hard to say.

0:12:01.400 --> 0:12:05.360
<v Speaker 1>I think we have to understand that China is this

0:12:05.600 --> 0:12:10.200
<v Speaker 1>ultimate surveillance state, right and with enormous powers, right, and

0:12:10.240 --> 0:12:13.120
<v Speaker 1>so drawing any parallels from the past, I think it

0:12:13.200 --> 0:12:15.920
<v Speaker 1>is very dangerous because that's just that's just not how

0:12:16.000 --> 0:12:20.000
<v Speaker 1>it was. Right. You might have protests, but the degree

0:12:20.040 --> 0:12:23.360
<v Speaker 1>to which China is monitoring its population, you know, through

0:12:23.400 --> 0:12:27.160
<v Speaker 1>the phones and through cameras and all this stuff, makes

0:12:27.160 --> 0:12:31.079
<v Speaker 1>it pretty very effective at putting any kind of protests down.

0:12:31.160 --> 0:12:34.599
<v Speaker 1>And I think, you know, you the models we've me

0:12:34.679 --> 0:12:36.720
<v Speaker 1>have used in the past, and you know, in terms

0:12:36.720 --> 0:12:38.959
<v Speaker 1>of like German square and even Hong Kong and to

0:12:39.080 --> 0:12:41.839
<v Speaker 1>US nineteen may not apply, I think that will be

0:12:41.960 --> 0:12:48.079
<v Speaker 1>quite successful in keeping the population under control. It's very interesting, indeed,

0:12:48.160 --> 0:12:51.360
<v Speaker 1>what do you think in terms of you know, Apple,

0:12:51.480 --> 0:12:57.079
<v Speaker 1>for example, is now UM accelerating its quest to produce

0:12:57.160 --> 0:13:01.240
<v Speaker 1>more iPhones elsewhere UM. A lot of companies have, as

0:13:01.280 --> 0:13:04.360
<v Speaker 1>you know at Mitchell Madison UM looked for ways to

0:13:04.640 --> 0:13:08.560
<v Speaker 1>untangle themselves from the Chinese supply chain web. Is that

0:13:08.559 --> 0:13:10.800
<v Speaker 1>going to happen or are we gonna all chill out

0:13:10.840 --> 0:13:14.000
<v Speaker 1>and they're gonna keep making all this stuff by well,

0:13:14.040 --> 0:13:16.040
<v Speaker 1>I certainly hope not right. I mean, I think you've

0:13:16.080 --> 0:13:18.680
<v Speaker 1>seen some some elements of this. You saw you guys

0:13:18.720 --> 0:13:22.360
<v Speaker 1>reported that Mexico had the absolute largest monthly export to

0:13:22.360 --> 0:13:25.560
<v Speaker 1>the United States and there were some pretty sophisticated you know,

0:13:25.600 --> 0:13:29.040
<v Speaker 1>product automotive parts and so forth. I think it's happening.

0:13:29.160 --> 0:13:32.240
<v Speaker 1>The private sector as usual will drive this shift away

0:13:32.240 --> 0:13:33.920
<v Speaker 1>from China. This is not going to be a top

0:13:34.000 --> 0:13:38.839
<v Speaker 1>down thing, um, And I think there's alternatives, right, Obviously,

0:13:38.880 --> 0:13:41.640
<v Speaker 1>there's huge capital investment in the country that have to

0:13:41.640 --> 0:13:44.800
<v Speaker 1>be replicated. I think, you know, Taiwan was probably the

0:13:44.840 --> 0:13:47.840
<v Speaker 1>most dangerous situation that from the private sector of perspective

0:13:47.880 --> 0:13:50.440
<v Speaker 1>that could happen. What a dangerous for both parties. I

0:13:50.480 --> 0:13:53.400
<v Speaker 1>think people will be hopefully be be cool about it, right,

0:13:53.400 --> 0:13:57.080
<v Speaker 1>cool aheads. But I think the private sector has taken

0:13:57.160 --> 0:14:02.240
<v Speaker 1>lead on this, and the name of the game is diversification. Diversisification, diversification.

0:14:02.320 --> 0:14:06.000
<v Speaker 1>You cannot relye when this thing that's even Apple like

0:14:06.120 --> 0:14:10.040
<v Speaker 1>the most sophisticated supply Cheam company on the in the

0:14:10.080 --> 0:14:13.520
<v Speaker 1>history of humanity, you got hit pretty hard, right, Yea,

0:14:13.559 --> 0:14:17.520
<v Speaker 1>it's a it's an extraordinary situation, seemingly fluid changing by

0:14:17.600 --> 0:14:20.280
<v Speaker 1>the day there in China, with as you mentioned, Hans,

0:14:20.320 --> 0:14:24.400
<v Speaker 1>this broad broad implications for the global economy, hansdo CEO

0:14:24.600 --> 0:14:27.080
<v Speaker 1>of Weight, Hans Dow. Where did you study? Which university

0:14:27.080 --> 0:14:30.880
<v Speaker 1>in Germany? You know? I think I studied in Mannheim,

0:14:30.960 --> 0:14:33.600
<v Speaker 1>which sounded a little bit like Michigan. Maybe that's that's

0:14:33.640 --> 0:14:36.880
<v Speaker 1>what happened. Oh, that's like a Weinheimer. That's like an

0:14:37.280 --> 0:14:41.040
<v Speaker 1>engineering school. Right, it's a cool place, you know. Yeah.

0:14:41.160 --> 0:14:45.920
<v Speaker 1>I love Monheim and we use their used car indexes.

0:14:46.080 --> 0:14:49.760
<v Speaker 1>Oh we do. That's right, good stuff, all right, exactly.

0:14:52.880 --> 0:14:54.760
<v Speaker 1>We're gonna round table a little bit right now. Our

0:14:54.800 --> 0:14:58.720
<v Speaker 1>topic is going to be this railroad potential strike that's

0:14:58.760 --> 0:15:00.320
<v Speaker 1>out there. I've got a couple of weeks kind of

0:15:00.360 --> 0:15:02.080
<v Speaker 1>deal with that. Now, I would have big implications for

0:15:02.080 --> 0:15:03.880
<v Speaker 1>this economy. So we need to get a couple of

0:15:03.880 --> 0:15:08.120
<v Speaker 1>smart people on here. Bloomberg Intelligence Senior Transportation analyst Lead

0:15:08.120 --> 0:15:10.520
<v Speaker 1>class now who joins us on the phone, and Jody

0:15:10.560 --> 0:15:12.760
<v Speaker 1>Schneider here on O Bloomberg inter actor Broker Studio. She's

0:15:12.800 --> 0:15:15.600
<v Speaker 1>a political news director for Bloomberg TV and Radio. So

0:15:15.880 --> 0:15:18.040
<v Speaker 1>let's start with you. I'd love to get a sense

0:15:18.040 --> 0:15:21.240
<v Speaker 1>of what you're hearing from the big railroad companies that

0:15:21.320 --> 0:15:24.400
<v Speaker 1>you talked to. What are they saying here, Hey, Paul,

0:15:24.480 --> 0:15:26.520
<v Speaker 1>thanks for having me. Um. You know, I think that

0:15:26.640 --> 0:15:30.320
<v Speaker 1>you know, I think they remain relatively optimistic that that

0:15:30.360 --> 0:15:35.800
<v Speaker 1>our agreement can can come before the December ninth deadline. Obviously,

0:15:35.880 --> 0:15:38.800
<v Speaker 1>the closer you get to that deadline, the rails will

0:15:38.880 --> 0:15:43.080
<v Speaker 1>have to start shutting down their networks to ensure that um,

0:15:43.120 --> 0:15:45.440
<v Speaker 1>you know, fraid it's not going to get lost in

0:15:45.520 --> 0:15:48.600
<v Speaker 1>the system. Uh and also to make sure that their

0:15:48.600 --> 0:15:53.080
<v Speaker 1>employees are home, um, you know when when the strike happens. Um,

0:15:53.160 --> 0:15:55.320
<v Speaker 1>So you know, you could see a disruption before the

0:15:55.400 --> 0:15:59.040
<v Speaker 1>December and ninth deadline. Uh, as as we get closer

0:15:59.080 --> 0:16:02.440
<v Speaker 1>to that deadline. If in fact, um, you know, the companies,

0:16:02.520 --> 0:16:04.760
<v Speaker 1>the railroads feel that they can't get to an agreement.

0:16:04.960 --> 0:16:08.280
<v Speaker 1>But but obviously noise out of Washington looks like, you know,

0:16:08.320 --> 0:16:12.320
<v Speaker 1>the federal government, the administration and Congress is working pretty

0:16:12.320 --> 0:16:14.520
<v Speaker 1>hard to make sure that doesn't happen. Just because of

0:16:14.560 --> 0:16:17.480
<v Speaker 1>the you know, the impact the economy which the American

0:16:17.520 --> 0:16:21.360
<v Speaker 1>trucking or is to start the Association of American Railroads

0:16:21.360 --> 0:16:24.040
<v Speaker 1>are putting out around two billion dollars a day. Are

0:16:24.120 --> 0:16:26.680
<v Speaker 1>we still looking at the same problems we were back

0:16:26.720 --> 0:16:32.880
<v Speaker 1>in August September, where you know, railroad employees can't get

0:16:32.880 --> 0:16:35.880
<v Speaker 1>a day off to go to the doctor, or where

0:16:35.920 --> 0:16:39.280
<v Speaker 1>you know one woman or man is in charge of

0:16:39.400 --> 0:16:43.640
<v Speaker 1>an entire freight train along a route. Yeah, you know,

0:16:43.760 --> 0:16:46.240
<v Speaker 1>it's it's really not about pay. Uh, you know, the

0:16:47.520 --> 0:16:50.240
<v Speaker 1>pay aspect, they're getting a pretty nice bump. They're getting

0:16:51.920 --> 0:16:56.560
<v Speaker 1>raises over a four or four or five year period. Um.

0:16:56.800 --> 0:16:59.480
<v Speaker 1>It's really about to your point to work rules. You know,

0:16:59.600 --> 0:17:03.479
<v Speaker 1>how easy or difficult is it for a rail employee

0:17:03.520 --> 0:17:05.840
<v Speaker 1>to you know, call and sick to go to a

0:17:05.920 --> 0:17:08.640
<v Speaker 1>doctor's appointment? You know, are they going to be penalized

0:17:08.760 --> 0:17:11.120
<v Speaker 1>for that? You know, there's about thirteen groups that are

0:17:11.160 --> 0:17:16.080
<v Speaker 1>negotiating as part of this National Railway Railway Labor Conference.

0:17:16.600 --> 0:17:20.960
<v Speaker 1>Four of them have not ratified the agreement. The others, uh,

0:17:21.280 --> 0:17:24.960
<v Speaker 1>seven have ratified the agreement. Um. And so it's really

0:17:24.960 --> 0:17:29.520
<v Speaker 1>those those score holdouts that could really snag things up. Now,

0:17:30.200 --> 0:17:32.040
<v Speaker 1>what's what's the problem here on the side of the

0:17:32.119 --> 0:17:36.520
<v Speaker 1>railroad operators. I mean, why not give your employees um

0:17:36.800 --> 0:17:39.960
<v Speaker 1>days off to deal with healthcare issues. I mean, you

0:17:39.960 --> 0:17:44.840
<v Speaker 1>wouldn't insist that a locomotive work every day. If it's

0:17:44.880 --> 0:17:48.480
<v Speaker 1>broken down, you're not gonna put it in service, right right.

0:17:48.560 --> 0:17:51.680
<v Speaker 1>And I'm not definitely here to defend the railroads any

0:17:51.720 --> 0:17:55.160
<v Speaker 1>stretch of imagination, but you know, this is something that's

0:17:55.200 --> 0:17:59.600
<v Speaker 1>typically negotiated at the local level. That's what the rails

0:17:59.600 --> 0:18:02.400
<v Speaker 1>are saying. So they're not necessarily saying that we're mean

0:18:02.440 --> 0:18:05.040
<v Speaker 1>and we don't want our employees to take off. We're

0:18:05.040 --> 0:18:07.359
<v Speaker 1>saying that this is typically dealt at the local level,

0:18:07.359 --> 0:18:10.119
<v Speaker 1>and that's where it should be a negotiated opposed to

0:18:10.160 --> 0:18:16.080
<v Speaker 1>this national broad contract for all the railroads. Um, you know.

0:18:16.560 --> 0:18:20.600
<v Speaker 1>And the problem also becomes, you know a lot of

0:18:20.680 --> 0:18:24.480
<v Speaker 1>railroads are operating a lot more efficiently because they've implemented

0:18:24.520 --> 0:18:28.280
<v Speaker 1>precision scheduling railroading, which is pretty much six stigma for

0:18:28.400 --> 0:18:31.679
<v Speaker 1>the rail industry. Uh. And you know they're trying to

0:18:31.720 --> 0:18:34.520
<v Speaker 1>operate lean and mean, and you know, when if if if,

0:18:34.680 --> 0:18:37.840
<v Speaker 1>if you're scheduled to work and someone's calling out, that

0:18:38.240 --> 0:18:41.240
<v Speaker 1>put a wrench in the whole system. Uh. But the

0:18:41.320 --> 0:18:43.960
<v Speaker 1>rails need to probably realize, well, maybe we need to

0:18:44.080 --> 0:18:47.840
<v Speaker 1>resource our systems a little more. Uh. And you know,

0:18:47.880 --> 0:18:51.119
<v Speaker 1>if that's going to cost tend basis in operating ratio,

0:18:52.000 --> 0:18:54.080
<v Speaker 1>so be it. But you know, that's that's an argument

0:18:54.160 --> 0:18:57.160
<v Speaker 1>that the railroads will have to have, uh, not only

0:18:57.320 --> 0:19:01.160
<v Speaker 1>you know, discussion with the unions, but also discussions with

0:19:01.240 --> 0:19:05.159
<v Speaker 1>the shareholder as well, because you know, because rail investors

0:19:05.160 --> 0:19:10.199
<v Speaker 1>are probably myopically focused on the operating ratio, which is

0:19:10.200 --> 0:19:13.639
<v Speaker 1>an inverse of an EVA margin, So lower the better. Hey, Jody,

0:19:13.720 --> 0:19:17.200
<v Speaker 1>want to bring you in here. What can this administration do?

0:19:17.320 --> 0:19:19.119
<v Speaker 1>What should they do? What do you think they can

0:19:19.119 --> 0:19:22.520
<v Speaker 1>get done? Well? President Biden says, now he was going

0:19:22.560 --> 0:19:25.920
<v Speaker 1>to go to Congress. Uh, and yesterday in his statement

0:19:26.200 --> 0:19:31.480
<v Speaker 1>expressing concern about this potential strike now that it's coming closer,

0:19:31.960 --> 0:19:36.119
<v Speaker 1>that he said lawmakers should immediately codify the agreement that

0:19:36.280 --> 0:19:38.919
<v Speaker 1>he helped of course broker in September between the unions

0:19:38.920 --> 0:19:41.720
<v Speaker 1>and the railroads. Uh. It looks like then the House

0:19:41.760 --> 0:19:45.880
<v Speaker 1>they're getting ready to do that, outgoing Speaker Nancy Pelosi,

0:19:46.160 --> 0:19:48.639
<v Speaker 1>so she will move to do that to codify that

0:19:48.760 --> 0:19:51.800
<v Speaker 1>this week. The Senate is a little trickier because they

0:19:51.800 --> 0:19:54.000
<v Speaker 1>have other things on the agenda, and the Senate always

0:19:54.040 --> 0:19:57.400
<v Speaker 1>takes longer to do things. Things like the intervening day

0:19:58.160 --> 0:20:01.800
<v Speaker 1>pop up, so it's unclear whether that will happen. There

0:20:01.840 --> 0:20:04.080
<v Speaker 1>By the way Congress has acted, we went and looked.

0:20:04.320 --> 0:20:09.119
<v Speaker 1>They've acted eighteen times to prevent strikes. Um. They but

0:20:09.280 --> 0:20:13.000
<v Speaker 1>the last time they did this was so Um, it's

0:20:13.000 --> 0:20:16.640
<v Speaker 1>been a while. You could say that again. Yes, it's

0:20:16.680 --> 0:20:21.240
<v Speaker 1>been twenty six years, eight years. Um. So hey, while

0:20:21.240 --> 0:20:22.919
<v Speaker 1>we have you here, Jody, when are we gonna know

0:20:23.000 --> 0:20:27.160
<v Speaker 1>the full composition of the Senate? Yeah? So next Tuesday

0:20:27.200 --> 0:20:30.520
<v Speaker 1>we have a big runoff between Herchel Walker and the

0:20:30.520 --> 0:20:34.760
<v Speaker 1>Republican side and sitting Senator Raphael Warnock on the Democratic side.

0:20:35.359 --> 0:20:38.960
<v Speaker 1>Early voting has been a record in that so a

0:20:39.040 --> 0:20:41.200
<v Speaker 1>lot of people have already gotten out there. Uh, it's

0:20:41.200 --> 0:20:43.680
<v Speaker 1>still polls and there are a ton of polls, but

0:20:43.720 --> 0:20:46.120
<v Speaker 1>the polls are showing them pretty neck and neck. Uh.

0:20:46.160 --> 0:20:48.920
<v Speaker 1>It won't determine obviously, the majority in the Senate, because

0:20:48.920 --> 0:20:52.719
<v Speaker 1>we already knew that. Um, the Democrats have picked that up.

0:20:52.960 --> 0:20:54.560
<v Speaker 1>But it will give them a little bit of breathing

0:20:54.640 --> 0:20:57.560
<v Speaker 1>room the Democrats if they do win that seat. And

0:20:57.920 --> 0:21:00.439
<v Speaker 1>so it looks neck and neck. Lots of you know

0:21:00.600 --> 0:21:03.720
<v Speaker 1>issues there, And of course herschel Walker was somebody who

0:21:03.800 --> 0:21:07.960
<v Speaker 1>Donald Trump had supported. Brian Kemp, the governor who just

0:21:08.040 --> 0:21:12.080
<v Speaker 1>was reelected, is now supporting uh Walker. He hadn't done

0:21:12.080 --> 0:21:14.280
<v Speaker 1>a whole lot for him in the general campaign, but

0:21:14.440 --> 0:21:17.359
<v Speaker 1>is now appearing on the stage with him. Interesting fact

0:21:17.400 --> 0:21:21.879
<v Speaker 1>and another fun fact here, two hundred thousand voters voted

0:21:21.920 --> 0:21:25.520
<v Speaker 1>for Kemp who did not vote for Walker in the

0:21:25.600 --> 0:21:28.320
<v Speaker 1>general election. So the question is are they are those

0:21:28.320 --> 0:21:30.760
<v Speaker 1>people likely to show up or some who voted for

0:21:30.840 --> 0:21:32.600
<v Speaker 1>him likely to show up. It's all going to be

0:21:32.640 --> 0:21:35.399
<v Speaker 1>about turn out, all right, Jody, great stuff, Thanks so

0:21:35.480 --> 0:21:37.159
<v Speaker 1>much for joining us here in our Bloomberg and Director

0:21:37.200 --> 0:21:41.320
<v Speaker 1>Broker studio, Lee Glasgow. He's a senior transportation analyst focusing

0:21:41.320 --> 0:21:43.480
<v Speaker 1>on the rails and the trucks and all that logistics stuff,

0:21:43.520 --> 0:21:46.639
<v Speaker 1>so certainly the perfect guy to get on the phone

0:21:46.680 --> 0:21:49.359
<v Speaker 1>here and talk to us about what could be a

0:21:49.520 --> 0:21:54.160
<v Speaker 1>strike for the nation's railroads beginning December ninth. So that's

0:21:54.160 --> 0:21:56.359
<v Speaker 1>a big issue. We will keep on top of that.

0:22:00.800 --> 0:22:03.400
<v Speaker 1>I got the argument why the Amazons and the Microsoft

0:22:03.520 --> 0:22:05.640
<v Speaker 1>would come to the debt market to race that even

0:22:05.640 --> 0:22:07.720
<v Speaker 1>though they don't need it because interest rates are zero.

0:22:07.760 --> 0:22:11.520
<v Speaker 1>But interest rates aren't zero anymore yet, Amazon coming to

0:22:11.680 --> 0:22:14.440
<v Speaker 1>the market with maybe a seven billion dollar deal. Matt

0:22:14.480 --> 0:22:16.840
<v Speaker 1>Miller's deal. It's a big deal, Matt. It's like a

0:22:16.920 --> 0:22:19.040
<v Speaker 1>huge deal in a year where there's nothing going on

0:22:19.080 --> 0:22:21.199
<v Speaker 1>for a lot of these investment banks. So we got

0:22:21.280 --> 0:22:23.880
<v Speaker 1>to bring in, Matt says, we gotta get the uh

0:22:24.040 --> 0:22:26.880
<v Speaker 1>somebody in here, and we do. We have our friend

0:22:26.960 --> 0:22:29.520
<v Speaker 1>here to talk to us about what is going on

0:22:29.600 --> 0:22:32.400
<v Speaker 1>here from Bloomberg Intelligence. What is going on here? Why

0:22:32.480 --> 0:22:37.400
<v Speaker 1>is Amazon rob Why are they coming to market? Now? Well, listen,

0:22:37.440 --> 0:22:39.399
<v Speaker 1>others might take credit for this phrase, but I think

0:22:39.440 --> 0:22:41.280
<v Speaker 1>I created it. You borrow when you can, not when

0:22:41.320 --> 0:22:44.160
<v Speaker 1>you need to. It sounds like Jack Reacher. I think

0:22:44.200 --> 0:22:48.359
<v Speaker 1>Jack Reacher said that. So listen. The ten years rallied

0:22:48.400 --> 0:22:53.040
<v Speaker 1>fifty basis points. In the last two months, spreads are just,

0:22:53.359 --> 0:22:55.679
<v Speaker 1>you know, really haven't moved that much. The cost of

0:22:55.680 --> 0:22:57.880
<v Speaker 1>capital for Amazon isn't that much. And by the way,

0:22:58.080 --> 0:23:00.280
<v Speaker 1>they've spent a lot of money over the last couple years.

0:23:00.280 --> 0:23:03.200
<v Speaker 1>Their cash numbers are down thirty odd billion dollars, their

0:23:03.240 --> 0:23:05.880
<v Speaker 1>free cash flow negative for the year UM, so they're

0:23:05.880 --> 0:23:07.760
<v Speaker 1>just fortifying their balance sheet. I think it could be

0:23:07.800 --> 0:23:10.560
<v Speaker 1>two things. UM. One is there could be more M

0:23:10.560 --> 0:23:12.840
<v Speaker 1>and A coming or two as they could be joining

0:23:13.000 --> 0:23:18.400
<v Speaker 1>their large cap brethren UM and start start to participating

0:23:18.400 --> 0:23:21.280
<v Speaker 1>in this capitol return game and start buying a back

0:23:21.320 --> 0:23:23.600
<v Speaker 1>a lot more stock. You know, they've pretty much stayed

0:23:23.600 --> 0:23:27.040
<v Speaker 1>out of the capital return market. So all right, rob

0:23:27.080 --> 0:23:30.679
<v Speaker 1>Shift and bloomber Intelligence. My question is, is this just

0:23:30.800 --> 0:23:34.560
<v Speaker 1>like I don't know on the M and A front,

0:23:34.680 --> 0:23:37.199
<v Speaker 1>It feels like there's a lot of places they could go,

0:23:38.040 --> 0:23:41.280
<v Speaker 1>but and they do do some smaller deals, but is

0:23:41.280 --> 0:23:44.640
<v Speaker 1>there any call out there that they could do a big, big,

0:23:44.680 --> 0:23:48.920
<v Speaker 1>big deal. You know, it's pretty hard to make transformation

0:23:49.000 --> 0:23:52.480
<v Speaker 1>on trades these days. One is Amazon is so big,

0:23:52.880 --> 0:23:55.479
<v Speaker 1>there's nothing that they could actually buy that would they

0:23:55.480 --> 0:23:58.680
<v Speaker 1>would meaningfully change their their top or bottom line. It's

0:23:58.680 --> 0:24:01.440
<v Speaker 1>like regulatory issues. And the secondly, listen, you've got guys

0:24:01.480 --> 0:24:05.560
<v Speaker 1>like Microsoft going after activision UM and they might not

0:24:05.600 --> 0:24:07.240
<v Speaker 1>be able to get get away with it, and they're

0:24:07.240 --> 0:24:09.480
<v Speaker 1>willing to spend you know, close to seventy billion dollars

0:24:09.480 --> 0:24:11.840
<v Speaker 1>in cash, So Listen, there's a lot of things Amazon

0:24:12.000 --> 0:24:17.040
<v Speaker 1>can buy. Um, they can get much deeper into the movie, uh,

0:24:17.160 --> 0:24:20.960
<v Speaker 1>TV production, theatrical businesses. You know, there could be more

0:24:21.000 --> 0:24:25.160
<v Speaker 1>in terms of of um, you know, health and healthcare.

0:24:25.240 --> 0:24:27.600
<v Speaker 1>You know, there's always a peloton sitting out there. Listen.

0:24:27.600 --> 0:24:29.919
<v Speaker 1>In theory, maybe they want to buy a Netflix, but

0:24:30.040 --> 0:24:32.879
<v Speaker 1>it's it's probably unlikely. I think, you know, M and

0:24:32.920 --> 0:24:34.840
<v Speaker 1>A for a name like this is really around the edges.

0:24:34.840 --> 0:24:38.320
<v Speaker 1>What matters to Amazon is growth in aws and people

0:24:38.359 --> 0:24:41.200
<v Speaker 1>buying a lot of stuff online, and that's ultimately what's

0:24:41.200 --> 0:24:43.920
<v Speaker 1>going to drive the business. And they have the might

0:24:44.400 --> 0:24:48.160
<v Speaker 1>to command a decent rate in markets, right, I mean

0:24:48.480 --> 0:24:50.440
<v Speaker 1>I was looking at the story. It said they're going

0:24:50.840 --> 0:24:54.320
<v Speaker 1>for a hundred fifteen basis points over treasuries. That's pretty good.

0:24:54.680 --> 0:24:58.040
<v Speaker 1>Is that good for Amazon? Listen? They actually trade meaningfully

0:24:58.080 --> 0:25:02.480
<v Speaker 1>tighter than their and above tech comparables. But they do

0:25:02.600 --> 0:25:10.240
<v Speaker 1>trade wider, uh than they're real they're the biggest comps Apple, Microsoft, Alphabet,

0:25:10.640 --> 0:25:14.200
<v Speaker 1>so they surely not wider than Netflix, Disney, no Or

0:25:14.400 --> 0:25:17.640
<v Speaker 1>or Meta. UM. But are are they? Are they attractive

0:25:17.680 --> 0:25:21.760
<v Speaker 1>to people because one, they offer incremental yield versus the

0:25:21.920 --> 0:25:25.480
<v Speaker 1>super high quality names, and because credit quality is still

0:25:25.760 --> 0:25:28.320
<v Speaker 1>actually on the rise. I mean, even though this is

0:25:28.440 --> 0:25:31.000
<v Speaker 1>a double A name, they could be high double A.

0:25:31.320 --> 0:25:34.400
<v Speaker 1>I don't think anyone really is concerned about Amazon's credit

0:25:34.480 --> 0:25:36.919
<v Speaker 1>quality going forward. And in fact, sort of all the

0:25:37.000 --> 0:25:39.359
<v Speaker 1>noise that you've seen in the equity market really hasn't

0:25:39.359 --> 0:25:42.840
<v Speaker 1>played into Amazon. You know, when I talked to clients

0:25:43.040 --> 0:25:45.159
<v Speaker 1>and most of them say to me, I'm surprised they

0:25:45.160 --> 0:25:47.160
<v Speaker 1>haven't widened out a lot more. And and the reason

0:25:47.240 --> 0:25:49.720
<v Speaker 1>why they haven't is that, you know, most people know

0:25:49.760 --> 0:25:52.320
<v Speaker 1>what Amazon is. It's very easy to pick through this

0:25:52.400 --> 0:25:54.679
<v Speaker 1>bouncy and think, you know, over the long term, the

0:25:54.720 --> 0:25:58.280
<v Speaker 1>cash flow trajectory for this name is going to be enormous.

0:25:58.520 --> 0:26:01.720
<v Speaker 1>They have also the ability to control what their free

0:26:01.720 --> 0:26:03.679
<v Speaker 1>cash flow. It looks like we pretty much know what

0:26:03.760 --> 0:26:06.119
<v Speaker 1>the man is going to be plus or minus certain

0:26:06.119 --> 0:26:09.080
<v Speaker 1>amounts regardless of a recession. So what's gonna drive free

0:26:09.080 --> 0:26:11.560
<v Speaker 1>cash flow is going to be spending. And what you've

0:26:11.560 --> 0:26:14.040
<v Speaker 1>heard them say recently is, hey, you know what, we're

0:26:14.040 --> 0:26:17.120
<v Speaker 1>taking the pedal off of our spending. We're gonna fire

0:26:17.160 --> 0:26:19.240
<v Speaker 1>a bunch of people ten thousand. It's not it's not

0:26:19.320 --> 0:26:21.440
<v Speaker 1>that much relative to a million and a half employs

0:26:21.440 --> 0:26:23.520
<v Speaker 1>that they have. But they if they if they take

0:26:23.560 --> 0:26:26.600
<v Speaker 1>the pedal off and they spend ten or fifteen billion

0:26:26.640 --> 0:26:29.439
<v Speaker 1>dollars less next year, that'll go right to the to

0:26:29.480 --> 0:26:32.440
<v Speaker 1>the bottom line and free cash. Unlike Meta who constantly

0:26:32.440 --> 0:26:34.600
<v Speaker 1>said we're just gonna spend more, We're gonna blow another

0:26:34.600 --> 0:26:36.720
<v Speaker 1>ten or fifteen billion dollars on the metals because because

0:26:36.800 --> 0:26:39.400
<v Speaker 1>Zuckerberg can do that, Amazon is not acting that way.

0:26:39.440 --> 0:26:42.680
<v Speaker 1>So they have in the past. But but Bezos has

0:26:42.680 --> 0:26:47.040
<v Speaker 1>in the past, right they can turn off. Yeah, well, listen,

0:26:47.119 --> 0:26:48.680
<v Speaker 1>they haven't had to turn it off in the past.

0:26:48.720 --> 0:26:52.000
<v Speaker 1>You know, they've they've only spent money. And as we

0:26:52.040 --> 0:26:55.040
<v Speaker 1>went both as we went into COVID for instance, you know,

0:26:55.200 --> 0:26:58.480
<v Speaker 1>they spent a lot more. The demand for Amazon products

0:26:58.720 --> 0:27:01.160
<v Speaker 1>went way up eight h asked was still was still

0:27:01.240 --> 0:27:04.480
<v Speaker 1>printing cash, but the demand for for delivery of products

0:27:04.520 --> 0:27:07.280
<v Speaker 1>went way way up. So they build out a ton

0:27:07.600 --> 0:27:12.119
<v Speaker 1>more in terms of distribution facilities um uh, the the

0:27:12.200 --> 0:27:16.600
<v Speaker 1>actual distribution and buying more trucks um and they hired

0:27:16.640 --> 0:27:18.600
<v Speaker 1>a ton more people. So they're just slowing down as

0:27:18.600 --> 0:27:21.160
<v Speaker 1>the economy slows down a little bit. So they really

0:27:21.200 --> 0:27:22.640
<v Speaker 1>haven't had to take their foot off the pedal. They're

0:27:22.640 --> 0:27:24.600
<v Speaker 1>gonna do it now for a little bit. They'll protect

0:27:24.600 --> 0:27:27.120
<v Speaker 1>their bountet, and then as soon as things picked up again,

0:27:27.160 --> 0:27:28.800
<v Speaker 1>I think that they could, They'll be able to meet

0:27:28.840 --> 0:27:31.399
<v Speaker 1>demand whenever they right, I'm a salesperson. Isn't Barclays or

0:27:31.440 --> 0:27:34.600
<v Speaker 1>Bank of America one of the other underwriters who am

0:27:34.600 --> 0:27:39.159
<v Speaker 1>I calling today to buy this issue? Well, listen, he

0:27:39.240 --> 0:27:42.480
<v Speaker 1>really wants to know. Yeah, you know, listen, Mom and

0:27:42.480 --> 0:27:45.600
<v Speaker 1>pops are not the ones who are buying seventy billion

0:27:45.600 --> 0:27:50.920
<v Speaker 1>dollars worth Amazon. Pension funds, mutual funds, and insurance companies.

0:27:50.960 --> 0:27:55.760
<v Speaker 1>Those those who have you know, long want long lived assets.

0:27:55.760 --> 0:27:58.280
<v Speaker 1>They've got long lived obligation. You know. This bond deal,

0:27:58.440 --> 0:28:01.520
<v Speaker 1>in fact, is actually reasonably short duration. It's two to

0:28:01.600 --> 0:28:04.080
<v Speaker 1>ten years, and it sort of goes to show that. Listen,

0:28:04.560 --> 0:28:07.879
<v Speaker 1>Amazon's much more comfortable about short dated rates than they

0:28:07.880 --> 0:28:11.000
<v Speaker 1>are necessarily about long dated rates. But this is an

0:28:11.040 --> 0:28:14.840
<v Speaker 1>institutional bond. You know, if if for those who are

0:28:14.840 --> 0:28:17.920
<v Speaker 1>looking for yield, you're not necessarily buying Amazon. So it's

0:28:18.000 --> 0:28:20.159
<v Speaker 1>all the largest buyers that buy all this, All the

0:28:20.160 --> 0:28:24.120
<v Speaker 1>rest of these high quality buys good stuff. Rob Schiffman. Uh.

0:28:24.160 --> 0:28:28.000
<v Speaker 1>He covers all things technology from the credit perspective, and

0:28:28.080 --> 0:28:30.280
<v Speaker 1>he's in the office, and he's in the Bloomberg Interactive

0:28:30.280 --> 0:28:32.640
<v Speaker 1>Brooker studio in the office. So that means you get

0:28:32.680 --> 0:28:35.159
<v Speaker 1>a gold star. I know that's big for you. Uh,

0:28:35.200 --> 0:28:37.720
<v Speaker 1>it's big for us here to get folks in the studio.

0:28:40.000 --> 0:28:42.280
<v Speaker 1>I want to bring into Vek Rama Swamy. You know

0:28:42.440 --> 0:28:45.560
<v Speaker 1>him as the co founder and executive chairman of Strive

0:28:45.680 --> 0:28:49.520
<v Speaker 1>Asset Management. He's also the author of the book Woke Inc.

0:28:49.880 --> 0:28:54.880
<v Speaker 1>Inside Corporate America's Social Justice Scam. But he also has

0:28:55.040 --> 0:28:57.960
<v Speaker 1>recently penned an op ed in The Wall Street Journal

0:28:57.960 --> 0:29:02.400
<v Speaker 1>with Mark Lury about the fall the actacular collapse of

0:29:02.640 --> 0:29:05.120
<v Speaker 1>f t X, and so we wanted to get his

0:29:05.240 --> 0:29:08.520
<v Speaker 1>thoughts on this story. Um, that seems to just keep

0:29:08.560 --> 0:29:11.200
<v Speaker 1>on giving. Vek you know that Block five has just

0:29:11.280 --> 0:29:13.960
<v Speaker 1>filed for bankruptcy. We're all watching to see what happens

0:29:13.960 --> 0:29:17.800
<v Speaker 1>with Genesis and Gemini. Anyone who knows about this space

0:29:18.480 --> 0:29:22.480
<v Speaker 1>realizes that other shoes were waiting for other shoes to drop.

0:29:22.520 --> 0:29:26.280
<v Speaker 1>I guess, um, what do you think about the root

0:29:26.400 --> 0:29:29.160
<v Speaker 1>of the problem. Why did we all trust Sam Bankman Freed?

0:29:29.200 --> 0:29:32.400
<v Speaker 1>And what went wrong. Well, I think that there are

0:29:32.440 --> 0:29:35.000
<v Speaker 1>a lot of parallels to the two thousand eight financial crisis,

0:29:35.000 --> 0:29:37.320
<v Speaker 1>which I, um, you know, had the privilege of seeing

0:29:37.320 --> 0:29:39.560
<v Speaker 1>from a front row seat when I graduated from from

0:29:39.560 --> 0:29:44.200
<v Speaker 1>college in two thousand and seven college crisis. I graduate

0:29:44.200 --> 0:29:46.040
<v Speaker 1>from college, I went from Harvard for college, and then

0:29:46.040 --> 0:29:48.320
<v Speaker 1>I worked at a hedge fund in that fall. That

0:29:48.560 --> 0:29:51.520
<v Speaker 1>actually got an honorable mention just say I graduated from college.

0:29:51.520 --> 0:29:53.760
<v Speaker 1>If you went to Harvard, you should say I graduated

0:29:53.800 --> 0:29:57.080
<v Speaker 1>from Harvard, or I went to school in Cambridge. You know,

0:29:57.240 --> 0:29:59.560
<v Speaker 1>I think I got over that around my sophomore year.

0:29:59.680 --> 0:30:02.560
<v Speaker 1>That's that was my experience of that. But you know,

0:30:02.880 --> 0:30:05.600
<v Speaker 1>there's it turns out that it is a separate discussion

0:30:05.600 --> 0:30:08.120
<v Speaker 1>another day. I'm a little bit disappointed that Harvard isn't

0:30:08.120 --> 0:30:10.240
<v Speaker 1>really the place it was when I went there, But

0:30:10.320 --> 0:30:12.640
<v Speaker 1>that's a that's a topic for now. F TX certainly

0:30:12.680 --> 0:30:16.360
<v Speaker 1>isn't the place it was two months ago. What happened exactly.

0:30:16.720 --> 0:30:19.880
<v Speaker 1>So so look, I think that it's worth separating what's

0:30:20.240 --> 0:30:23.600
<v Speaker 1>specific to this being a crypto exchange versus what's actually

0:30:23.600 --> 0:30:25.560
<v Speaker 1>not at all specific to this being a crypto exchange,

0:30:25.600 --> 0:30:28.360
<v Speaker 1>but just a centralized exchange at all. And this is

0:30:28.360 --> 0:30:29.600
<v Speaker 1>the point I made in the piece in the Wall

0:30:29.600 --> 0:30:32.520
<v Speaker 1>Street Journal that I co authored, which is that this

0:30:32.560 --> 0:30:35.080
<v Speaker 1>was a centralized exchange, and a fundamental feature of a

0:30:35.120 --> 0:30:37.680
<v Speaker 1>centralized exchange is that you have to trust someone else,

0:30:37.720 --> 0:30:41.200
<v Speaker 1>another human being, with your money, to take custody over

0:30:41.240 --> 0:30:44.960
<v Speaker 1>your funds. A centralized exchange cannot work unless someone, someone else,

0:30:44.960 --> 0:30:47.600
<v Speaker 1>a human being, take control of your funds. That lends

0:30:47.640 --> 0:30:50.480
<v Speaker 1>itself to fraud. That fraud is illegal, whether or not

0:30:50.560 --> 0:30:53.560
<v Speaker 1>you're operating a cryptocurrency exchange or an exchange that trades

0:30:53.600 --> 0:30:57.880
<v Speaker 1>different securities. Fraud is illegal. Taking someone else's money, customers funds,

0:30:57.880 --> 0:30:59.960
<v Speaker 1>and using it for a different purpose without the permission

0:31:00.080 --> 0:31:02.520
<v Speaker 1>is fraud. I will note that's exactly what happened about

0:31:02.520 --> 0:31:05.480
<v Speaker 1>a decade ago in the MF Global scandal. People lost

0:31:05.520 --> 0:31:07.720
<v Speaker 1>their money because someone broke the law and committed fraud

0:31:09.480 --> 0:31:13.920
<v Speaker 1>gold New Jersey Governor John Corzine exactly. And so it's

0:31:13.920 --> 0:31:17.640
<v Speaker 1>worth seeing with clear eyes that this wasn't that feature

0:31:17.640 --> 0:31:21.200
<v Speaker 1>of this wasn't necessarily specific to cryptocurrencies. It was specific

0:31:21.240 --> 0:31:23.920
<v Speaker 1>to a fraudulent bad actor who used customer funds to

0:31:23.960 --> 0:31:26.560
<v Speaker 1>advance his own hands. Now you ask why wasn't this

0:31:26.600 --> 0:31:29.280
<v Speaker 1>detected earlier? And I think a big underappreciated part of

0:31:29.280 --> 0:31:32.920
<v Speaker 1>the story is that he presented himself to the public effectively,

0:31:33.000 --> 0:31:35.720
<v Speaker 1>quite effectively, I may say, as one of the good guys,

0:31:36.040 --> 0:31:39.080
<v Speaker 1>as the guy who was calling for so called responsible

0:31:39.120 --> 0:31:43.120
<v Speaker 1>regulation of cryptocurrencies, as the guy who was winning good

0:31:43.120 --> 0:31:45.440
<v Speaker 1>E s G scores and saying things that the E

0:31:45.640 --> 0:31:49.200
<v Speaker 1>s G Friendly crowd wanted him to say, making tens

0:31:49.200 --> 0:31:51.640
<v Speaker 1>of millions of dollars I think thirty million dollars plus

0:31:51.680 --> 0:31:55.520
<v Speaker 1>in this cycle alone to Democratic candidates doing the kinds

0:31:55.560 --> 0:31:57.560
<v Speaker 1>of things that the good guys are supposed to do,

0:31:58.080 --> 0:32:01.120
<v Speaker 1>just like by the way, Ralph Wintercoorts or CEO winter Corn,

0:32:01.160 --> 0:32:02.920
<v Speaker 1>I think his name is Ralph Wintercorn Winter Corners, the

0:32:03.000 --> 0:32:05.920
<v Speaker 1>last name the CEO Volkswagen who was caught in the

0:32:05.960 --> 0:32:10.320
<v Speaker 1>emissions cheating only after exactly Martin winter Corn excuse me, is,

0:32:10.360 --> 0:32:15.000
<v Speaker 1>shortly after they had actually won multiple E s G awards,

0:32:15.040 --> 0:32:17.880
<v Speaker 1>Shortly after he had spent years waxing eloquent about the

0:32:17.880 --> 0:32:20.560
<v Speaker 1>climate transition. Guess who turns out to be the bad,

0:32:20.640 --> 0:32:23.280
<v Speaker 1>the worst of the actors of all. It's actually the

0:32:23.320 --> 0:32:25.640
<v Speaker 1>company that pretended to be one of the good guys,

0:32:26.160 --> 0:32:28.440
<v Speaker 1>and so I think we learned this lesson time and

0:32:28.520 --> 0:32:32.760
<v Speaker 1>again that human beings and markets and customers and citizens

0:32:33.280 --> 0:32:38.600
<v Speaker 1>are pretty good at holding bad actors accountable as long

0:32:38.600 --> 0:32:41.280
<v Speaker 1>as you don't throw a trip wire in the system,

0:32:41.320 --> 0:32:44.320
<v Speaker 1>as long as you don't tamper with the smoke detector. Okay,

0:32:44.320 --> 0:32:46.160
<v Speaker 1>but one of the ways some of these guys, be

0:32:46.320 --> 0:32:49.760
<v Speaker 1>from from winter Corn to SBF now, managed to tamper

0:32:49.840 --> 0:32:53.360
<v Speaker 1>with the smoke detector is that they presented this smoke

0:32:53.440 --> 0:32:56.840
<v Speaker 1>screen of virtue that I think otherwise turned off the

0:32:56.880 --> 0:33:00.880
<v Speaker 1>public's radar to picking up on the signal that otherwise

0:33:00.880 --> 0:33:03.000
<v Speaker 1>would have caused them to pick up on on the

0:33:03.000 --> 0:33:06.680
<v Speaker 1>fraud much sooner the vect does crypto broadly defined need

0:33:06.760 --> 0:33:12.360
<v Speaker 1>to be regulated. So I think that a knee jerk

0:33:12.560 --> 0:33:16.040
<v Speaker 1>regulatory response on the back of this, and a catch

0:33:16.080 --> 0:33:20.840
<v Speaker 1>all regulatory approach that did not draw distinctions between centralized

0:33:20.880 --> 0:33:25.520
<v Speaker 1>and decentralized exchanges would be a bad idea. That being said,

0:33:25.640 --> 0:33:29.040
<v Speaker 1>I think the legal regime as it exists in ways

0:33:29.120 --> 0:33:34.800
<v Speaker 1>that prevent fraud for non cryptocurrency based securities non cryptocurrency

0:33:34.840 --> 0:33:40.440
<v Speaker 1>based assets absolutely should and does already apply to cryptocurrency

0:33:40.480 --> 0:33:42.520
<v Speaker 1>as well, it just is a question of the ability

0:33:42.560 --> 0:33:46.600
<v Speaker 1>to enforce those standards evenly. You can't steal someone else's funds,

0:33:46.600 --> 0:33:49.400
<v Speaker 1>that's illegal. If you're a fiduciary, or if you're a

0:33:49.440 --> 0:33:52.800
<v Speaker 1>custodian of someone else's funds, you cannot misuse those for

0:33:52.880 --> 0:33:55.360
<v Speaker 1>your own purposes. So in a certain sense, that's not

0:33:55.480 --> 0:34:00.120
<v Speaker 1>new regulation. That's just the application of basic legal principles

0:34:00.160 --> 0:34:04.720
<v Speaker 1>of trust, principles of fiduciary, principles of non theft, principles

0:34:04.720 --> 0:34:08.520
<v Speaker 1>of non misappropriation, principles that exist in the law for assets,

0:34:08.520 --> 0:34:11.320
<v Speaker 1>have existed in the common law for hundreds of years

0:34:11.360 --> 0:34:13.239
<v Speaker 1>that need to be applied in the same way to

0:34:13.280 --> 0:34:16.040
<v Speaker 1>cryptocurrencies as they are to any other assets. And so

0:34:16.120 --> 0:34:19.200
<v Speaker 1>my view is that crypto doesn't get a special pass

0:34:19.280 --> 0:34:22.400
<v Speaker 1>from those rules just because people call it crypto, But

0:34:22.560 --> 0:34:26.560
<v Speaker 1>nor should we overreact to create a crypto specific regime.

0:34:26.960 --> 0:34:30.080
<v Speaker 1>That's it. That's actually, ironically what SPF was exactly calling for.

0:34:30.520 --> 0:34:32.479
<v Speaker 1>He might make his own wish come true. All right, vac,

0:34:32.560 --> 0:34:34.240
<v Speaker 1>thank you so much once again for joining has always

0:34:34.320 --> 0:34:37.520
<v Speaker 1>learned something there. Ramaswanna, co founder and executive chairman of

0:34:37.560 --> 0:34:43.080
<v Speaker 1>Strive Asset Management, you know that it is Giving Tuesday,

0:34:43.120 --> 0:34:45.239
<v Speaker 1>although I know for you every day is giving twos

0:34:45.280 --> 0:34:49.600
<v Speaker 1>a giar a giver. But we want to talk about education, UM,

0:34:49.719 --> 0:34:53.960
<v Speaker 1>nonprofits things like that, because the pandemic has really done

0:34:53.960 --> 0:34:58.040
<v Speaker 1>a job on the educational UH environment out there and

0:34:58.160 --> 0:35:00.600
<v Speaker 1>particularly for for younger children. So we want to kind

0:35:00.600 --> 0:35:02.040
<v Speaker 1>of break that down and get a little sense of

0:35:02.040 --> 0:35:03.200
<v Speaker 1>what's going on out there. What are some of the

0:35:03.239 --> 0:35:05.319
<v Speaker 1>good stories, what are some of the challenges for that.

0:35:05.360 --> 0:35:07.880
<v Speaker 1>We can get an excellent roundtable here in our Bloomberg

0:35:07.880 --> 0:35:11.200
<v Speaker 1>Interactive Broker studio. Angela Williams c you have Common Denominator

0:35:11.840 --> 0:35:16.200
<v Speaker 1>joins us as well as Marian Scordell with Bourgeville Consulting.

0:35:16.400 --> 0:35:19.319
<v Speaker 1>Close enough, good, awesome, Awesome, I did that again, two

0:35:19.320 --> 0:35:22.680
<v Speaker 1>for two UM. Alright, so angel let's start with you.

0:35:22.760 --> 0:35:24.920
<v Speaker 1>Just talk to us about Common Denominator. What are you

0:35:24.960 --> 0:35:27.720
<v Speaker 1>guys doing at Common Denominator. Well, I think a Common

0:35:27.760 --> 0:35:31.319
<v Speaker 1>Denominator we give the gift that keeps on giving UM,

0:35:31.400 --> 0:35:35.000
<v Speaker 1>and that's the gift of of of math numeracy UH.

0:35:35.080 --> 0:35:39.239
<v Speaker 1>Common Denominator is a nonprofit organization that provides free, holistic

0:35:39.360 --> 0:35:42.799
<v Speaker 1>math tutoring to middle school students who are really struggling

0:35:42.840 --> 0:35:47.120
<v Speaker 1>with basic numeracy, math numeracy UM and and really struggling

0:35:47.560 --> 0:35:51.160
<v Speaker 1>UM in their maths class. You know, our mission is

0:35:51.200 --> 0:35:54.120
<v Speaker 1>to help underserved middle school students improve their math skills,

0:35:54.160 --> 0:35:58.200
<v Speaker 1>build confidence, and enjoy doing So how did it evolve

0:35:58.480 --> 0:36:02.719
<v Speaker 1>devolve during the past two and a half three years? Okay, Well,

0:36:02.760 --> 0:36:05.960
<v Speaker 1>you know, prior to the pandemic, we knew that our

0:36:05.960 --> 0:36:10.320
<v Speaker 1>middle school students were having a significant problem in in math,

0:36:10.400 --> 0:36:13.200
<v Speaker 1>and we knew the causes, and so we were diligent

0:36:13.280 --> 0:36:16.400
<v Speaker 1>about providing a place where we were going to provide

0:36:16.400 --> 0:36:20.239
<v Speaker 1>the resources and tools for them. Of course, unfortunately, the

0:36:20.520 --> 0:36:24.880
<v Speaker 1>COVID nineteen pandemic landed more underserved students on the vulnerable

0:36:24.880 --> 0:36:28.600
<v Speaker 1>side of an even larger achievement gap. So, you know,

0:36:28.760 --> 0:36:32.480
<v Speaker 1>it has been incredible for our organization because as we

0:36:32.640 --> 0:36:36.480
<v Speaker 1>pivoted from in person to online, we've been able to

0:36:36.560 --> 0:36:41.040
<v Speaker 1>open up our program to a wider uh swath of

0:36:41.160 --> 0:36:45.040
<v Speaker 1>students across New York City um and and it has

0:36:45.120 --> 0:36:47.880
<v Speaker 1>been very effective for our students as well as for

0:36:47.920 --> 0:36:51.680
<v Speaker 1>our organization. So, Marian, how do you come into this discussion?

0:36:51.800 --> 0:36:55.520
<v Speaker 1>How did you and Angela meet? How have you got involved? Well,

0:36:55.560 --> 0:36:58.080
<v Speaker 1>we I we met through my neighbors really, but it

0:36:58.239 --> 0:37:00.920
<v Speaker 1>was probably listening to us actually, but I hope so,

0:37:01.000 --> 0:37:06.560
<v Speaker 1>but I shout out your neighbor Andrew, Thanks Andrew. So

0:37:06.680 --> 0:37:09.000
<v Speaker 1>no I came. I came to comment the dominator because

0:37:09.040 --> 0:37:11.120
<v Speaker 1>I have a background in financial services. I worked in

0:37:11.200 --> 0:37:14.400
<v Speaker 1>investment bank. I'm running my own business, and I know

0:37:14.440 --> 0:37:17.319
<v Speaker 1>what education did for me. So I don't come from

0:37:17.320 --> 0:37:19.840
<v Speaker 1>from a private edge background at all, and yet I

0:37:19.880 --> 0:37:21.479
<v Speaker 1>was able to go talk so that I I was able

0:37:21.520 --> 0:37:23.399
<v Speaker 1>to now that I teach sometimes at Yale and at

0:37:23.400 --> 0:37:26.839
<v Speaker 1>other universities, and I know what education can do for you.

0:37:26.920 --> 0:37:29.160
<v Speaker 1>I know how it can get you out of you know,

0:37:29.200 --> 0:37:31.960
<v Speaker 1>it can brought on your horizons, it can open up careers,

0:37:32.000 --> 0:37:33.959
<v Speaker 1>it can open up a future, and then in turn

0:37:34.360 --> 0:37:36.640
<v Speaker 1>you have to help others. So that's that's where I

0:37:36.680 --> 0:37:39.600
<v Speaker 1>fit in. And can I also point out, um, I

0:37:39.640 --> 0:37:42.600
<v Speaker 1>don't want it to be overlooked that it can be

0:37:42.760 --> 0:37:45.799
<v Speaker 1>very helpful for the bank or the organization to have

0:37:46.000 --> 0:37:50.960
<v Speaker 1>a more diverse group of mimes working on problem. Absolutely

0:37:51.200 --> 0:37:53.279
<v Speaker 1>when I was in bank, and even now when I

0:37:53.360 --> 0:37:55.440
<v Speaker 1>we know if I have to recruit, I'm like all

0:37:55.440 --> 0:37:57.920
<v Speaker 1>the candidates come from exactly the same background that or

0:37:57.960 --> 0:38:00.640
<v Speaker 1>exactly all the same, and we're you know, we are

0:38:00.640 --> 0:38:04.120
<v Speaker 1>pushed to bring more diversity into organizations. But the thing is,

0:38:04.440 --> 0:38:06.560
<v Speaker 1>if all the candidates come from the same place, there's

0:38:06.600 --> 0:38:09.319
<v Speaker 1>a very narrow pool of candidates to choose from. So

0:38:09.360 --> 0:38:11.680
<v Speaker 1>I think the problem has to be addressed a lot earlier,

0:38:11.800 --> 0:38:14.399
<v Speaker 1>by the time you know, the past middle school. I'm

0:38:14.440 --> 0:38:16.439
<v Speaker 1>not saying it's too late, because it's never too late,

0:38:16.920 --> 0:38:19.440
<v Speaker 1>but it would help you at an earlier stage. We

0:38:19.480 --> 0:38:22.640
<v Speaker 1>would help students instead of helping them just at university stage.

0:38:22.880 --> 0:38:25.160
<v Speaker 1>So Angela, when when you get these students at a

0:38:25.200 --> 0:38:27.719
<v Speaker 1>young age and you're focusing on maths, it's all part

0:38:27.719 --> 0:38:30.200
<v Speaker 1>of this the stem focus that we hear so much

0:38:30.280 --> 0:38:34.040
<v Speaker 1>about in education. What are some of the key challenges

0:38:34.560 --> 0:38:38.200
<v Speaker 1>for math? Is math just harder for some students than

0:38:38.280 --> 0:38:42.000
<v Speaker 1>others uh skills or other subjects, or is it more

0:38:42.040 --> 0:38:44.320
<v Speaker 1>on the on the instruction side. What's kind of some

0:38:44.400 --> 0:38:46.879
<v Speaker 1>of the challenges. I think the key challenge is that,

0:38:46.960 --> 0:38:49.040
<v Speaker 1>you know, we are all math people, and if we

0:38:49.080 --> 0:38:52.479
<v Speaker 1>start to understand that and gravitate towards that, we won't

0:38:52.480 --> 0:38:55.399
<v Speaker 1>have the challenges that we do imagine being seen as

0:38:55.440 --> 0:38:57.720
<v Speaker 1>part of a group taught to believe that they could

0:38:57.800 --> 0:39:02.080
<v Speaker 1>not excel in math. Uh, imagine the repercussions of believing

0:39:02.200 --> 0:39:05.680
<v Speaker 1>that false notion your entire life, um and and really

0:39:05.760 --> 0:39:09.960
<v Speaker 1>imagine having an additional impediment, you know, to your own

0:39:10.040 --> 0:39:13.920
<v Speaker 1>upward mobility. You're you know, we're potentially from middle school

0:39:13.960 --> 0:39:18.560
<v Speaker 1>students who prior to the pandemic only about thirty six

0:39:18.640 --> 0:39:21.440
<v Speaker 1>percent of them were even fluent in math by eighth grade.

0:39:21.960 --> 0:39:25.439
<v Speaker 1>Now add on the troubles of the pandemic, and we're

0:39:25.440 --> 0:39:28.400
<v Speaker 1>talking about you know, students of color and those in

0:39:28.480 --> 0:39:31.840
<v Speaker 1>low income brackets who are suffering even more from the

0:39:32.000 --> 0:39:36.840
<v Speaker 1>from the inequities and the education gap. So potentially, according

0:39:36.880 --> 0:39:40.720
<v Speaker 1>to to what Mary Anne said, they are not identifying

0:39:40.760 --> 0:39:44.120
<v Speaker 1>with math, and therefore they're cutting off an entire industry

0:39:44.560 --> 0:39:48.080
<v Speaker 1>that could really allow them to become upwardly mobile jobs

0:39:48.160 --> 0:39:52.480
<v Speaker 1>like you know, medical scientists, financial and analysts, the statisticians,

0:39:52.760 --> 0:39:57.520
<v Speaker 1>actuary economists, not even considering them, not considering banking um

0:39:57.560 --> 0:40:00.239
<v Speaker 1>and that is critical, that's critical and some thing that

0:40:00.280 --> 0:40:03.680
<v Speaker 1>we have to really work towards so that our students

0:40:03.680 --> 0:40:07.680
<v Speaker 1>can understand and hoards and sometimes the barriers are really psychological.

0:40:07.760 --> 0:40:09.920
<v Speaker 1>So sometimes they wouldn't even think of an industry that

0:40:10.000 --> 0:40:12.400
<v Speaker 1>is so remote that nobody in their families work in.

0:40:12.600 --> 0:40:15.399
<v Speaker 1>So we are also as part of common denominator, we're

0:40:15.480 --> 0:40:19.440
<v Speaker 1>organizing bank visits. So we're bringing small groups of middle

0:40:19.440 --> 0:40:21.960
<v Speaker 1>school children. We're bringing them to see what the trading

0:40:22.000 --> 0:40:24.800
<v Speaker 1>floor is, you know what. So because in their minds,

0:40:24.840 --> 0:40:26.759
<v Speaker 1>this is just not for them. So that's why they

0:40:26.760 --> 0:40:30.960
<v Speaker 1>wouldn't consider these careers that they feel from the start excluded. Um,

0:40:31.000 --> 0:40:32.839
<v Speaker 1>So that that's one of one of the things we're doing.

0:40:32.880 --> 0:40:35.640
<v Speaker 1>It's not just the education, is also the psychological barriers.

0:40:35.719 --> 0:40:38.160
<v Speaker 1>And I mean I imagine that mentoring would be important

0:40:38.160 --> 0:40:40.600
<v Speaker 1>as well. Right, a lot of these kids, you know,

0:40:41.160 --> 0:40:44.120
<v Speaker 1>their parents are unlikely to be involved in the financial industry.

0:40:44.200 --> 0:40:46.239
<v Speaker 1>Maybe they don't even know anybody in the neighborhood who's

0:40:46.239 --> 0:40:48.520
<v Speaker 1>involved in the financial industry. So I'm sure it would

0:40:48.520 --> 0:40:52.200
<v Speaker 1>help to connect them with Angela was someone like Mary Anne. Absolutely,

0:40:52.239 --> 0:40:57.279
<v Speaker 1>that's exactly what we're doing. So what's what's it like

0:40:57.360 --> 0:40:59.799
<v Speaker 1>in a a New York City public school today? From

0:40:59.840 --> 0:41:04.600
<v Speaker 1>a math perspective? I mean, what are I know when

0:41:05.000 --> 0:41:09.560
<v Speaker 1>other schools, maybe some you know, math is really a focus?

0:41:09.719 --> 0:41:12.200
<v Speaker 1>Is it focus? Does it get the proper you know

0:41:12.360 --> 0:41:15.520
<v Speaker 1>weight do you think you know? That's a great question. UM.

0:41:15.960 --> 0:41:18.160
<v Speaker 1>I actually have the results from the New York State

0:41:18.200 --> 0:41:22.319
<v Speaker 1>Department of Education recently released assessment, and some of their

0:41:22.400 --> 0:41:25.359
<v Speaker 1>key findings UH state that less than half of all

0:41:25.360 --> 0:41:29.560
<v Speaker 1>students in grades three through eight are proficient in math proficiency.

0:41:29.640 --> 0:41:32.439
<v Speaker 1>Rates for students from low income backgrounds continue to lack

0:41:32.520 --> 0:41:36.040
<v Speaker 1>the rates of their more affluent peers. UM. Across all

0:41:36.080 --> 0:41:40.400
<v Speaker 1>the racial groups, there were losses in math proficiency. However,

0:41:40.440 --> 0:41:45.399
<v Speaker 1>the proficiency gaps between racial groups were alarmingly wide. UM.

0:41:45.480 --> 0:41:48.160
<v Speaker 1>And and you know there there's there's year to year

0:41:48.239 --> 0:41:53.080
<v Speaker 1>decline in math preferences proficiency for all students including eighth grade. Yeah,

0:41:53.200 --> 0:41:56.719
<v Speaker 1>so the data is not too supportive at the moment.

0:41:56.760 --> 0:41:59.360
<v Speaker 1>I'm sure the pandemic just made the challenge is more pronounced.

0:41:59.360 --> 0:42:02.200
<v Speaker 1>But four trained. There's good folks out there like YouTube

0:42:02.239 --> 0:42:04.279
<v Speaker 1>kind of doing your best to kind of help out.

0:42:04.320 --> 0:42:08.400
<v Speaker 1>Angela Williams, CEO of Common Denominator and Mary Anne Scoordell

0:42:08.840 --> 0:42:11.600
<v Speaker 1>with Bougeville Consulting, both joining us here boats kind of

0:42:11.680 --> 0:42:14.759
<v Speaker 1>joining powers, if you will, joining resources and trying to

0:42:14.760 --> 0:42:19.359
<v Speaker 1>make a big impact on this issue and about ten

0:42:19.360 --> 0:42:22.120
<v Speaker 1>seconds left. Yeah. Absolutely, this Giving Tuesday, give the gift

0:42:22.160 --> 0:42:26.239
<v Speaker 1>that keeps on giving. Absolutely, thank you very much. Matthcy

0:42:26.440 --> 0:42:30.680
<v Speaker 1>absolutely good, absolutely correct and financial literacy right also very

0:42:30.760 --> 0:42:37.200
<v Speaker 1>key at a young age. Yep, very good stuff. Thanks

0:42:37.239 --> 0:42:40.680
<v Speaker 1>for listening to the Bloomberg Markets podcast. You can subscribe

0:42:40.719 --> 0:42:44.400
<v Speaker 1>and listen to interviews with Apple Podcasts or whatever podcast

0:42:44.480 --> 0:42:48.040
<v Speaker 1>platform you prefer. I'm Matt Miller. I'm on Twitter at

0:42:48.080 --> 0:42:51.680
<v Speaker 1>Matt Miller, three pen on Fall Sweeney I'm on Twitter

0:42:51.760 --> 0:42:54.600
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0:42:54.640 --> 0:42:56.200
<v Speaker 1>us worldwide at Bloomberg Radio