WEBVTT - China, QT, Threads, Earnings, and ETFs (Audio)

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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.

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<v Speaker 2>Every business day we bring you interviews from CEOs, market pros,

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<v Speaker 2>and Bloomberg experts, along with essential market moving news.

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<v Speaker 1>All right, Emily grad Fai, thank you so much for

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<v Speaker 1>giving getting us up to date on those markets. Let's

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<v Speaker 1>talk about China here, Secretary Yellen there, four day visit.

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<v Speaker 1>Let's get the latest reporting. We've got a couple of

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<v Speaker 1>smart voices here, Eddie Vanderwaldt, Deputy Managing editor of the

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<v Speaker 1>Market's Live team with Bloomberg News, and Chris Condon, US

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<v Speaker 1>Treasury reporter with Bloomberg News. Hey, Chris, I know you

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<v Speaker 1>joined Secretary Yellen on the trip to China.

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<v Speaker 3>What's the takeaway from from ground zero there that you have?

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<v Speaker 4>Well, I apologize quick correction there, our colleague Victoria Dendron.

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<v Speaker 4>It was actually on the trip.

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<v Speaker 1>Oh.

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<v Speaker 4>I got to travel with her on her next trip,

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<v Speaker 4>but very good. But I've obviously been keeping close tabs

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<v Speaker 4>on this trip. It was I have to say first

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<v Speaker 4>and foremost, there were low expectations in terms of what

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<v Speaker 4>they call deliverables from this trip. The main goal was

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<v Speaker 4>to kind of stabilize the relationship and how the two

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<v Speaker 4>countries deal with each other on economic issues and re

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<v Speaker 4>establish regular lines of communication. You know, if you go

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<v Speaker 4>back before the Trump administration, US and China kept a

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<v Speaker 4>sort of pace of regular phone and in person meetings

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<v Speaker 4>with high level Chinese staffers on economic issues, and that

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<v Speaker 4>really fell apart due first of all to the more

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<v Speaker 4>confrontational tone of the Trump administration and then second just

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<v Speaker 4>because of COVID, and it's taken a long time to

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<v Speaker 4>re establish regular ties, and Yellen has been personally really

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<v Speaker 4>eager to get those reconnected, and I think on that front,

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<v Speaker 4>it was a pretty successful trip. From what I understand,

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<v Speaker 4>she and her staff were very pleased with the way

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<v Speaker 4>meetings went. They were a bit more informal as time

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<v Speaker 4>went on. They weren't as scripted as they thought they

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<v Speaker 4>might be, so that was a good thing, and she

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<v Speaker 4>does expect from here her staff will have that kind

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<v Speaker 4>of regular pace of contexts re established where high level

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<v Speaker 4>people can get on the phone with each other and

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<v Speaker 4>discuss concerns or just hit regular agenda items and discuss

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<v Speaker 4>them and that's a pretty healthy set of steps.

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<v Speaker 5>All right, Well, Eddie, I want to bring you in

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<v Speaker 5>and Eddie rementioning, you are our debuty managing editor of

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<v Speaker 5>the Markets Live team have all of the best quotes

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<v Speaker 5>that I steal throughout the day to say on air

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<v Speaker 5>to sound smart. So thank you for that, Eddie. But

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<v Speaker 5>I want to talk to you about some of this

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<v Speaker 5>soft economic data that we got out of China, looking

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<v Speaker 5>like that stimulus urgency is just increasing for the mainland there, Eddie,

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<v Speaker 5>What is that sort of doing in terms of the

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<v Speaker 5>impact on US markets this week?

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<v Speaker 6>Yeah, Look, these were really really soft numbers that we

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<v Speaker 6>saw from China. You know, globally, it's quite surprising to see,

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<v Speaker 6>you know, with inflation around the world running so much

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<v Speaker 6>above expectations and so much higher than most central bankers

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<v Speaker 6>would like to see it. In China, they had zero inflation,

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<v Speaker 6>literally nothing over the last year. Number came in a

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<v Speaker 6>zero percent flat, core inflation flowed to zero point four percent,

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<v Speaker 6>and producer prices were in retreat. Now, yes, I mean

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<v Speaker 6>a lot of central bankers would probably look at that

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<v Speaker 6>with envy, but it shows just how difficult the situation

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<v Speaker 6>in China is and just how much, you know, there

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<v Speaker 6>is maybe a need to start the economy because remember,

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<v Speaker 6>they only recently came out of lockdown, and it was

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<v Speaker 6>when the rest of the world came out of lockdown

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<v Speaker 6>that we had that really strong demand that fired inflation

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<v Speaker 6>across the globe. But we're just not seeing that and

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<v Speaker 6>that's feeding through the market. It's sort of certainly adding

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<v Speaker 6>a little bit of a headwind to risk assets.

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<v Speaker 1>More broadly, Hey, Chris, you know how important is it?

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<v Speaker 1>I mean, I guess you know, covering the Treasury there,

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<v Speaker 1>Secretary of yell and being in China is certainly important.

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<v Speaker 1>Talk to us about how it kind of works the

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<v Speaker 1>under the you know, when you get down into the

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<v Speaker 1>makings of the sausage. Is there that much interaction between

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<v Speaker 1>members of the staff the Treasury and counterparts in China.

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<v Speaker 1>Is this something that really needs to be nurtured.

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<v Speaker 4>Well, it certainly does need to be nurtured. It's something,

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<v Speaker 4>as I said, that that deteriorated over the last few

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<v Speaker 4>years and is expected to restart now. And this can

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<v Speaker 4>have a couple of different benefits. First of all, you know,

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<v Speaker 4>Eddie was just talking about what we know about the

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<v Speaker 4>Chinese economy. Well, the information coming out of China is

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<v Speaker 4>not always believable or reliable, and those types of contacts

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<v Speaker 4>help the Treasury at least gather more information, gives them

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<v Speaker 4>a better read about what Chinese officials think is going

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<v Speaker 4>on in their own economy. In fact, from these meetings,

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<v Speaker 4>one thing that was taken away is that Chinese officials

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<v Speaker 4>are concerned about growth and certain pockets of bubbles in

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<v Speaker 4>their economy, but not overly so they feel they have

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<v Speaker 4>it under control. So that's the kind of insider understanding

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<v Speaker 4>that Treasury is always looking for more of. And second

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<v Speaker 4>of all, it's beneficial in the sense that it might

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<v Speaker 4>help prevent certain contentious issues from escalating in a sort

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<v Speaker 4>of retaliatory cycle. It gives each side a chance to

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<v Speaker 4>kind of communicate, intervene, talk things over, and prevent perhaps

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<v Speaker 4>a more severe escalation of issues that begin as small

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<v Speaker 4>economic concerns and could escalate.

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<v Speaker 5>Well, Jennet Yalen kind of echoed the idea that it

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<v Speaker 5>could escalate, sa that she wouldn't rule out the threat

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<v Speaker 5>of a US recession, and it's appropriate and normal for

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<v Speaker 5>growth to moderate as inflation remains too high, So Eddie,

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<v Speaker 5>given that that kind of seems a little bit hotish,

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<v Speaker 5>and we're heading into this next FED meeting here likely

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<v Speaker 5>to see another hike. To what extent is that move

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<v Speaker 5>from the US potentially going to impact China.

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<v Speaker 6>Yeah, Look, there's definitely divergence of monetary policy around the globe.

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<v Speaker 6>Right when we came out of COVID, everybody was in

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<v Speaker 6>the same situation. You know, growth was very strong and

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<v Speaker 6>we had fast inflation, and now we're starting to see

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<v Speaker 6>real divergence. The US is kind of in the middle

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<v Speaker 6>of the road. It's inflation is starting to come down,

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<v Speaker 6>but it's not like it's not where it would like

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<v Speaker 6>to see it. In China, you know, the numbers are

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<v Speaker 6>much lower now. The I think there's a disconnect here

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<v Speaker 6>because in the US we're starting to see wages and

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<v Speaker 6>the services sick to driving that, whereas in China it's

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<v Speaker 6>very much the manufacturies that is at fault. And I

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<v Speaker 6>think as long as China's you know, as long as

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<v Speaker 6>it's services sectors stay stay strong, then I think they

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<v Speaker 6>will be they will be shy of providing further stimulus.

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<v Speaker 6>But I think there is definitely a f two between

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<v Speaker 6>the two economies for sure.

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<v Speaker 3>All right, Eddie, thank you so much for joining us.

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<v Speaker 1>Eddie Vanderwaldt, Deputy Managing editor of the Market's Live team,

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<v Speaker 1>joining us from London, and Chris Condon, your treasury reporter

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<v Speaker 1>with Bloomberg News.

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<v Speaker 7>You're listening to the team. Ken's are live program Bloomberg

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<v Speaker 7>Markets weekdays at ten am Eastern on Bloomberg dot com,

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<v Speaker 7>the iHeartRadio app and the Bloomberg Business APPM or listen

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<v Speaker 1>All right, nobody covers the Fed, I think any better

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<v Speaker 1>or any more intensely than Bloomberg News. But one thing

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<v Speaker 1>that's fallen through the cracks from just for me as

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<v Speaker 1>a reader, is like.

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<v Speaker 8>What's going on?

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<v Speaker 3>Quantitative tightening?

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<v Speaker 1>The QT thing? Isn't Is it still a thing? I

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<v Speaker 1>don't know, but I know somebody does know this stuff.

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<v Speaker 1>It's Lis McCormick's. She's a chief correspondent Macro Markets with

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<v Speaker 1>Bloomberg News Check.

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<v Speaker 3>She follows this stuff.

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<v Speaker 1>I don't know why, but she joined us actually here

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<v Speaker 1>in studio. Liz talk to me about and talk to

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<v Speaker 1>us about quantitative tightening? Is the FED still doing it?

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<v Speaker 1>How are they doing it? Is it important? What's it

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<v Speaker 1>mean for the economy and tell us how they kind

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<v Speaker 1>of screwed up maybe a couple of years ago.

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<v Speaker 9>Yeah, I'm going to tell you all that. But fun fact,

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<v Speaker 9>Liz Capo McCormick's brother used to work at Bloomberg Sports

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<v Speaker 9>years ago.

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<v Speaker 1>Later.

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<v Speaker 9>Yeah, but yeah, QT is still we kind of got

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<v Speaker 9>out off the limelight with that, but it's still going on.

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<v Speaker 9>In fact, in full force. It's going to be about

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<v Speaker 9>a trillion a year that'll come off the Fed's balance sheet.

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<v Speaker 9>And it was so interesting. I mean, maybe I'm just

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<v Speaker 9>a nerd, but listening to Chairman Palell speak on Capitol

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<v Speaker 9>Hill recently and he you know, politicians really don't like

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<v Speaker 9>all the debt on the Fed's balance sheet. I think

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<v Speaker 9>they feel like it takes too much, you know, sway

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<v Speaker 9>in the market. And they were kind of saying to him, hey,

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<v Speaker 9>you're going to get the balance sheet down, and Chairman Pale,

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<v Speaker 9>like you're alluding to, Paul, said, we are, but we

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<v Speaker 9>were going to be careful. Lat you know, in twenty

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<v Speaker 9>nineteen kind of we didn't see it coming that there

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<v Speaker 9>was scarcity in the banking system for reserves, which created problem.

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<v Speaker 1>So the FED had to.

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<v Speaker 9>Quickly reverse course, remember the repo blow up and add reserves,

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<v Speaker 9>So they're they're doing their job. They want to get

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<v Speaker 9>the balance sheet down, but they're being very careful to

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<v Speaker 9>not make reserves too scarce in the system. And it's

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<v Speaker 9>not so easy, right, So I think Pal, I mean,

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<v Speaker 9>I give them credit, was saying like, hey, we learned

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<v Speaker 9>from the last time. We're trying to avoid it. But yeah,

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<v Speaker 9>it's going on in the background. It's the second tool

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<v Speaker 9>of their tightening.

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<v Speaker 5>So in terms of that being the second tool of

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<v Speaker 5>their tightening, do you think that the FED is secretly

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<v Speaker 5>a little bit excited when bad eco news comes out

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<v Speaker 5>and they have an excuse to raise rates again because

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<v Speaker 5>it helps them with their balance sheet if rates are higher.

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<v Speaker 1>Yeah, that's funny, right.

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<v Speaker 9>They would never say that, right, but I mean they would, like,

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<v Speaker 9>you know, on everything to when you kind of go

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<v Speaker 9>one way, you want to go back the other way

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<v Speaker 9>so you have some ammo for the next crisis.

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<v Speaker 1>Right.

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<v Speaker 5>So it's it's tough.

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<v Speaker 9>If you start, you know, every new crisis with an

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<v Speaker 9>even bigger balance sheet, even though you've done some quantitative

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<v Speaker 9>tightening bringing it down. So I think the FED would

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<v Speaker 9>really love, like Janet Yellen, I think was famous for

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<v Speaker 9>saying we want QT to run in the background like

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<v Speaker 9>paint drying.

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<v Speaker 5>Which doesn't always work.

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<v Speaker 9>But I really do think they I mean, they're in

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<v Speaker 9>a new regime. Well, they'll never have the uber small

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<v Speaker 9>balance sheet though, and we all saw years and decades ago.

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<v Speaker 9>But yeah, they would like to get it down a

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<v Speaker 9>little maddie, right, So they if we god willing, we don't.

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<v Speaker 9>But if we go in another crisis, they have the

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<v Speaker 9>AMMO with the ability to cut rates and then jack

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<v Speaker 9>up the balance sheet again. So it's a little bit

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<v Speaker 9>of a tricky, tricky wicket I call it for them.

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<v Speaker 1>Yeah, help, does a central bank actually do quantitative tightening?

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<v Speaker 3>How does it work?

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<v Speaker 1>Yeah?

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<v Speaker 9>So you know the central bank like, it's easy. When

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<v Speaker 9>we know they're buying kuy, they just go in there

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<v Speaker 9>and buy, right. But the quantitative tightening, let's talk about

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<v Speaker 9>the treasury side. So what happens is they have treasury

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<v Speaker 9>debt that mature, Say they haveure debt maturing middle of

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<v Speaker 9>this month. What they'll do is say, hey, we're gonna

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<v Speaker 9>let that mature. Normally, if they're leaving their balance sheet stable,

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<v Speaker 9>then they buy the same amount that matures, and now

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<v Speaker 9>they're saying, hey, we're gonna let x billion mature and

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<v Speaker 9>not buy more, So that kind of whittles down how

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<v Speaker 9>much treasuries they have on their balance sheet. The mortgages

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<v Speaker 9>are a little more convoluted because it's depends on refi

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<v Speaker 9>rates and things like that, but that's what they do,

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<v Speaker 9>kind of not keep rolling into new debt.

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<v Speaker 5>And what does the impact of that look like in

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<v Speaker 5>terms of overall liquidity.

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<v Speaker 9>Yeah, so it's interesting because QI the buying was really

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<v Speaker 9>and is used to kind of help lower long rates.

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<v Speaker 9>It's felt to help juice the housing market and things,

0:11:41.760 --> 0:11:44.360
<v Speaker 9>so QT in essent should go the other way. It's

0:11:44.360 --> 0:11:46.080
<v Speaker 9>a little less clear, but what it does on the

0:11:46.120 --> 0:11:48.840
<v Speaker 9>short end, like we're talking about in this story, is

0:11:48.920 --> 0:11:51.440
<v Speaker 9>what it does is you know, kind of the way

0:11:51.480 --> 0:11:54.160
<v Speaker 9>all the mechanics work on the Fed's balance sheet is

0:11:54.200 --> 0:11:56.560
<v Speaker 9>if they let the asset side roll down, then a

0:11:56.600 --> 0:11:59.400
<v Speaker 9>liability has to roll down. So that's either in bank

0:11:59.440 --> 0:12:02.839
<v Speaker 9>reserves or this facility. They have reverse repos where money

0:12:02.840 --> 0:12:05.520
<v Speaker 9>market funds can put money with the FED. So that's

0:12:05.600 --> 0:12:08.959
<v Speaker 9>where manny, if we get too tight, then that liquidity

0:12:09.000 --> 0:12:11.280
<v Speaker 9>is sucking out of the short end, and that's kind

0:12:11.280 --> 0:12:14.200
<v Speaker 9>of what turns. You know the financial system, right, you know,

0:12:14.280 --> 0:12:18.439
<v Speaker 9>banks having enough liquidity to do their operations. So that's

0:12:18.520 --> 0:12:21.760
<v Speaker 9>where you know, on the exit side of QT that

0:12:21.800 --> 0:12:24.320
<v Speaker 9>you have to worry about liquidity in the repo market

0:12:24.360 --> 0:12:25.160
<v Speaker 9>and things like that.

0:12:25.960 --> 0:12:29.560
<v Speaker 1>So, Liz, how about let's just assume I'm on the

0:12:29.600 --> 0:12:31.720
<v Speaker 1>FED and at the end of this month, I argue

0:12:31.760 --> 0:12:34.600
<v Speaker 1>to my fellow folks on the Fed, Hey, we raised

0:12:34.679 --> 0:12:36.680
<v Speaker 1>rates five one hundred basis points.

0:12:36.880 --> 0:12:40.199
<v Speaker 3>Inflation's coming down. We just saw a three percent headline print.

0:12:40.679 --> 0:12:41.120
<v Speaker 3>We're done.

0:12:41.200 --> 0:12:42.680
<v Speaker 1>Let's just sit on the sidelines. Why don't we have

0:12:42.679 --> 0:12:45.160
<v Speaker 1>to do anything? It's actually working. Why don't we just

0:12:45.240 --> 0:12:46.440
<v Speaker 1>do that? What would happen if I.

0:12:46.440 --> 0:12:47.000
<v Speaker 3>Made that pitch?

0:12:47.320 --> 0:12:49.800
<v Speaker 9>Well, on the rate side, I think that's what they're

0:12:49.800 --> 0:12:51.760
<v Speaker 9>going to eventually get to. Let's just say they hike

0:12:51.800 --> 0:12:53.880
<v Speaker 9>in July. You know, I can't remember if that was

0:12:53.880 --> 0:12:54.880
<v Speaker 9>in your scenario.

0:12:54.960 --> 0:12:56.640
<v Speaker 3>Well, no, my scenariy was don't do anything.

0:12:56.679 --> 0:12:58.679
<v Speaker 9>We're done, well, right, So okay, so say they don't,

0:12:58.720 --> 0:13:02.200
<v Speaker 9>which is possible right now. That's the one tool of

0:13:02.240 --> 0:13:04.920
<v Speaker 9>their policy, the rates. So in that scenario, what the

0:13:04.960 --> 0:13:07.120
<v Speaker 9>FED has been saying is like QT is going to

0:13:07.200 --> 0:13:11.040
<v Speaker 9>keep going right where it gets tricky is the FED

0:13:11.080 --> 0:13:13.120
<v Speaker 9>has always said we don't I'm sorry, I'm telling you

0:13:13.440 --> 0:13:16.560
<v Speaker 9>about my hands. We don't like our tools to be

0:13:16.600 --> 0:13:20.120
<v Speaker 9>moving in opposite direction. So say which we're far away

0:13:20.160 --> 0:13:23.719
<v Speaker 9>from that? The FED started lowering its benchmark rate. Then

0:13:23.760 --> 0:13:26.360
<v Speaker 9>if QT is going on, it's like one hand of

0:13:26.400 --> 0:13:28.920
<v Speaker 9>the FED is easing and the other is tightening. And

0:13:28.960 --> 0:13:30.959
<v Speaker 9>most people say the FED won't want to do that,

0:13:31.080 --> 0:13:34.560
<v Speaker 9>Like the folks at TD who see easing later this year, say,

0:13:34.559 --> 0:13:36.839
<v Speaker 9>the Fed's going to stop the QT because it doesn't

0:13:36.840 --> 0:13:39.080
<v Speaker 9>make sense to be going in opposite directions. But there's

0:13:39.520 --> 0:13:41.400
<v Speaker 9>a lot of variables, so we don't know. So it's

0:13:41.400 --> 0:13:43.120
<v Speaker 9>going to be interesting to see what happens in July.

0:13:43.240 --> 0:13:46.160
<v Speaker 9>I'm already thinking about August and Jackson Hole. What guidance

0:13:46.200 --> 0:13:49.000
<v Speaker 9>dos Sherman Pal give us, h Let's go.

0:13:49.440 --> 0:13:50.440
<v Speaker 1>Of course you should go.

0:13:51.160 --> 0:13:53.560
<v Speaker 3>I'll put a ticket in for that. See how that works.

0:13:53.920 --> 0:13:56.559
<v Speaker 5>What are you anticipating that in terms of FED moves,

0:13:56.600 --> 0:13:58.679
<v Speaker 5>It feels like July is a definite. Do you have

0:13:58.720 --> 0:13:59.800
<v Speaker 5>a take on September?

0:14:00.120 --> 0:14:00.320
<v Speaker 8>Yeah?

0:14:00.360 --> 0:14:02.880
<v Speaker 9>I think that's the wildcard. Now we're already kind of

0:14:02.960 --> 0:14:06.520
<v Speaker 9>like looking through into September and there's a mix. There's

0:14:06.559 --> 0:14:09.160
<v Speaker 9>a lot of economists on Wall Street who say one

0:14:09.200 --> 0:14:12.360
<v Speaker 9>more July and we're done. Then there's others saying, hey,

0:14:12.360 --> 0:14:14.800
<v Speaker 9>the Fed has more to go. You know, we're not

0:14:14.880 --> 0:14:17.319
<v Speaker 9>seeing policy really be that restricted because look at the

0:14:17.320 --> 0:14:20.720
<v Speaker 9>stock market, look at the housing market. So some are saying,

0:14:20.880 --> 0:14:23.200
<v Speaker 9>you know, terminal rate has to be even higher, maybe

0:14:23.200 --> 0:14:25.360
<v Speaker 9>over sixty percent. So I think I was talking to

0:14:25.880 --> 0:14:28.600
<v Speaker 9>you know, the folks around my desk today and we

0:14:28.600 --> 0:14:31.240
<v Speaker 9>were saying it really it sounds boring, but it's going

0:14:31.280 --> 0:14:33.840
<v Speaker 9>to be data dependent. Like if it's like you were saying,

0:14:33.840 --> 0:14:36.880
<v Speaker 9>the data if we start getting another strong jobs, if

0:14:36.920 --> 0:14:39.680
<v Speaker 9>CPI misses to the upside, we have a lot of

0:14:39.760 --> 0:14:42.000
<v Speaker 9>data between now and September, the FED kind of has

0:14:42.080 --> 0:14:45.480
<v Speaker 9>to do if inflation is not coming down, they're going

0:14:45.520 --> 0:14:46.960
<v Speaker 9>to have to do it. So I feel like, oh

0:14:47.000 --> 0:14:48.240
<v Speaker 9>my god, well we ever get a.

0:14:48.200 --> 0:14:50.640
<v Speaker 5>Break, it's not going to be calm right, you know.

0:14:50.960 --> 0:14:53.120
<v Speaker 1>So again it seems like we were just getting some

0:14:53.200 --> 0:14:57.160
<v Speaker 1>data passed around the newsroom here talking about used car

0:14:57.240 --> 0:14:59.200
<v Speaker 1>prices coming down. I mean, there's so many data points

0:14:59.200 --> 0:15:01.840
<v Speaker 1>that you can look at here, But does a FED

0:15:01.880 --> 0:15:03.920
<v Speaker 1>feel like in order from a credibility perspective, they need

0:15:03.960 --> 0:15:04.800
<v Speaker 1>to hike one more time?

0:15:04.880 --> 0:15:05.800
<v Speaker 3>Is that kind of where we are?

0:15:06.520 --> 0:15:10.760
<v Speaker 9>Well? You know, an analysis on Wall Street goes that

0:15:11.120 --> 0:15:13.280
<v Speaker 9>the FED doesn't like to surprise the market, and when

0:15:13.320 --> 0:15:16.720
<v Speaker 9>the market, like the futures in the short term overnight

0:15:16.760 --> 0:15:19.560
<v Speaker 9>interest rate swaps are pricing in like a near certainty

0:15:19.600 --> 0:15:21.880
<v Speaker 9>that they hike in July, FED doesn't like to surprise.

0:15:22.400 --> 0:15:24.720
<v Speaker 9>So I think, I don't know if it's credibility, but

0:15:25.640 --> 0:15:27.360
<v Speaker 9>I don't think they want to upend the market. We're

0:15:27.360 --> 0:15:29.760
<v Speaker 9>so close to that meeting, right, I Mean, I could

0:15:29.800 --> 0:15:32.480
<v Speaker 9>be wrong, but I suspect that they kind of have

0:15:32.640 --> 0:15:35.400
<v Speaker 9>it priced in already. It's almost like a done deal. Look,

0:15:35.480 --> 0:15:37.160
<v Speaker 9>let's just do it, right, yep.

0:15:37.200 --> 0:15:39.840
<v Speaker 1>And if you look at the warp function which Liz

0:15:39.920 --> 0:15:44.200
<v Speaker 1>is referring to, it's almost a ninety percent expectation that

0:15:44.280 --> 0:15:47.320
<v Speaker 1>rates will be hiked in July, so to the extent

0:15:47.320 --> 0:15:49.280
<v Speaker 1>you don't want to upset the apple cart. There we go,

0:15:49.480 --> 0:15:51.680
<v Speaker 1>all right, Liz McCormick, thanks so much for joining us

0:15:51.680 --> 0:15:53.480
<v Speaker 1>here in our Bloomberg Interactive Broker studio.

0:15:53.480 --> 0:15:55.480
<v Speaker 3>Always good to see it in the office.

0:15:55.480 --> 0:15:58.680
<v Speaker 1>Here, Lis McCormick, Chief corresponding covering the global macro markets

0:15:59.320 --> 0:16:02.920
<v Speaker 1>for Bloomberg News again. So we'll have some economic data

0:16:02.920 --> 0:16:06.600
<v Speaker 1>this week, some inflation data this week CPI, so be

0:16:06.680 --> 0:16:09.960
<v Speaker 1>really interesting. PPI as well get a good read on inflation,

0:16:10.080 --> 0:16:12.960
<v Speaker 1>which the Fed will certainly need prior to meeting at

0:16:13.000 --> 0:16:14.720
<v Speaker 1>the end of this month, because we'll get an announcement

0:16:14.760 --> 0:16:16.480
<v Speaker 1>on July the twenty sixth.

0:16:16.800 --> 0:16:19.840
<v Speaker 7>You're listening to the tape can's our live program Bloomberg

0:16:19.960 --> 0:16:23.560
<v Speaker 7>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:16:23.600 --> 0:16:26.840
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0:16:26.880 --> 0:16:29.680
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0:16:29.720 --> 0:16:34.800
<v Speaker 7>flagship New York station. Just say Alexa play Bloomberg eleven thirty.

0:16:35.720 --> 0:16:38.800
<v Speaker 1>All right, we're just talking about threads one hundred million users.

0:16:39.160 --> 0:16:40.000
<v Speaker 3>That gets my attention.

0:16:41.520 --> 0:16:43.840
<v Speaker 1>Let's see what it means for Meta, Let's see what

0:16:43.920 --> 0:16:45.600
<v Speaker 1>it means for Twitter. Let's see what it means for

0:16:45.720 --> 0:16:49.080
<v Speaker 1>just people's spare time, spending more time on social I'm

0:16:49.080 --> 0:16:51.160
<v Speaker 1>gonna blame Man Deep Sing for all of that stuff.

0:16:51.160 --> 0:16:54.120
<v Speaker 1>He covers the technology for Bloomberg Intelligence. He joins us

0:16:54.120 --> 0:16:57.360
<v Speaker 1>here in our Bloomberg Interactive Broker Studio. I mean Zuck

0:16:57.400 --> 0:16:59.720
<v Speaker 1>comes on and says, geos more than our expectations. One

0:16:59.760 --> 0:17:03.480
<v Speaker 1>hundred million signups for threads. Is that number men anything

0:17:03.480 --> 0:17:03.680
<v Speaker 1>to you?

0:17:04.280 --> 0:17:06.960
<v Speaker 8>It does? I mean, look, this is the fastest growing

0:17:07.040 --> 0:17:11.080
<v Speaker 8>app ever. It surpassed chat GPT, which was the craze

0:17:11.119 --> 0:17:15.520
<v Speaker 8>so far. So I think clearly they have a great momentum.

0:17:15.520 --> 0:17:19.680
<v Speaker 8>And what it shows is the creators are seeking an

0:17:19.680 --> 0:17:23.440
<v Speaker 8>alternative here. I mean that is really the crux of it.

0:17:23.520 --> 0:17:28.480
<v Speaker 8>That everyone wants something that is similar to Twitter where

0:17:28.520 --> 0:17:31.600
<v Speaker 8>they can build their network, and they think this is

0:17:31.640 --> 0:17:35.560
<v Speaker 8>a viable platform. Blue Sky, Macedon and the others didn't

0:17:35.600 --> 0:17:37.959
<v Speaker 8>take off because they didn't have that scale.

0:17:38.160 --> 0:17:40.080
<v Speaker 5>Well what do you make of the scale? And it's

0:17:40.080 --> 0:17:43.000
<v Speaker 5>so funny, Mandy, because on Friday we talked about how

0:17:43.119 --> 0:17:46.160
<v Speaker 5>over the weekend we might get that surpassing of chat

0:17:46.160 --> 0:17:48.280
<v Speaker 5>gpt in terms of signups, and I think it happened

0:17:48.320 --> 0:17:50.400
<v Speaker 5>like right after you got off the air with us.

0:17:50.440 --> 0:17:53.000
<v Speaker 5>So you are a leading indicator when it comes to

0:17:53.080 --> 0:17:56.720
<v Speaker 5>the metastory. But why are they able to convert active

0:17:56.800 --> 0:17:57.880
<v Speaker 5>users so quickly?

0:17:58.440 --> 0:18:01.719
<v Speaker 8>I mean, look, it's social media. It's like you have

0:18:01.800 --> 0:18:05.119
<v Speaker 8>those network effects, and in the case of meta, they

0:18:05.119 --> 0:18:08.320
<v Speaker 8>have the three billion users across their family of apps.

0:18:08.400 --> 0:18:11.440
<v Speaker 8>Right they can promote stuff on their app. Look at

0:18:11.480 --> 0:18:13.080
<v Speaker 8>how TikTok grew back.

0:18:12.880 --> 0:18:13.359
<v Speaker 3>In the day.

0:18:13.760 --> 0:18:19.160
<v Speaker 8>They were one of the heaviest advertisers on Facebook on Instagram.

0:18:19.320 --> 0:18:22.359
<v Speaker 8>In this case, I mean, Meta owns all these properties,

0:18:22.560 --> 0:18:25.879
<v Speaker 8>so they can promote their Threads app. And right now

0:18:26.280 --> 0:18:30.080
<v Speaker 8>I feel they have gone with a very niche focused approach,

0:18:30.359 --> 0:18:35.640
<v Speaker 8>text based format. They will keep layering more photos, more

0:18:35.760 --> 0:18:38.520
<v Speaker 8>videos on Threads over time, but what they want to

0:18:38.560 --> 0:18:42.000
<v Speaker 8>make sure is there's a clear value proposition for Threads

0:18:42.000 --> 0:18:45.600
<v Speaker 8>and it doesn't end up cannibalizing Instagram or Blue App.

0:18:45.680 --> 0:18:48.960
<v Speaker 5>Well that's a great point. Do you think that Threads

0:18:49.200 --> 0:18:52.160
<v Speaker 5>is going to be a legitimate competitor to a TikTok?

0:18:52.920 --> 0:18:55.600
<v Speaker 8>I think so over time, I can see Threads having

0:18:55.640 --> 0:18:58.800
<v Speaker 8>a messaging tab. So think of all the things that

0:18:58.880 --> 0:19:03.360
<v Speaker 8>Meta does of features. They're using a very narrow subset

0:19:03.400 --> 0:19:07.040
<v Speaker 8>of that for Threads because they want it to rival Twitter.

0:19:08.000 --> 0:19:11.600
<v Speaker 8>Get those users on board, and then iterate and add

0:19:11.640 --> 0:19:14.120
<v Speaker 8>more features to drive engagement. And look, at the end

0:19:14.119 --> 0:19:17.760
<v Speaker 8>of the day, it's about average time spent on the platform.

0:19:17.840 --> 0:19:21.639
<v Speaker 8>So compare that Instagram average time spent it's around like

0:19:21.760 --> 0:19:25.639
<v Speaker 8>seventy to eighty minutes per daily active user. Twitter is

0:19:25.680 --> 0:19:28.480
<v Speaker 8>around twenty five minutes, and they try to pivot to

0:19:28.520 --> 0:19:32.399
<v Speaker 8>subscriptions too early. I mean, this is still an adriven model,

0:19:32.760 --> 0:19:36.199
<v Speaker 8>and in an adriven model, it's all about engagement and

0:19:36.240 --> 0:19:38.119
<v Speaker 8>time spent on the platform.

0:19:38.520 --> 0:19:41.400
<v Speaker 3>I'm not buying it? Are you on? Are you're a threader?

0:19:41.440 --> 0:19:41.680
<v Speaker 8>Wait?

0:19:41.920 --> 0:19:42.760
<v Speaker 5>Why are you not buying it?

0:19:42.760 --> 0:19:44.800
<v Speaker 1>I don't know, I'm just you know, how many these

0:19:44.800 --> 0:19:46.119
<v Speaker 1>do we need? But all right, let's go to the

0:19:46.160 --> 0:19:49.000
<v Speaker 1>impact on Twitter. Is this a zero sum game? If

0:19:49.160 --> 0:19:51.440
<v Speaker 1>if they sign up one hundred million people to threads,

0:19:51.920 --> 0:19:53.280
<v Speaker 1>do you think a lot of them came from Twitter?

0:19:53.359 --> 0:19:54.320
<v Speaker 3>Or do you think it's going to be a zero

0:19:54.359 --> 0:19:54.960
<v Speaker 3>sum game here?

0:19:55.480 --> 0:19:57.760
<v Speaker 8>Absolutely? I mean again, I go back to that three

0:19:57.800 --> 0:20:00.920
<v Speaker 8>billion daily active users across the family of apps, that

0:20:01.200 --> 0:20:04.720
<v Speaker 8>includes all the Twitter users and for the one hundred

0:20:04.800 --> 0:20:07.600
<v Speaker 8>million that they have signed up, Remember, they haven't launched

0:20:07.600 --> 0:20:12.000
<v Speaker 8>in Europe, so it's right. Once you launch in Europe

0:20:12.040 --> 0:20:13.680
<v Speaker 8>and they'll figure out a way to work with the

0:20:13.760 --> 0:20:17.360
<v Speaker 8>regulators they have the sign ups. In the end, it's

0:20:17.560 --> 0:20:20.920
<v Speaker 8>always about engagement. That's what TikTok got it right, and

0:20:20.960 --> 0:20:23.880
<v Speaker 8>That's why Facebook had to play catch up once they

0:20:23.920 --> 0:20:27.640
<v Speaker 8>saw the viral adoption of TikTok. In this case, they

0:20:27.640 --> 0:20:30.320
<v Speaker 8>have the sign ups, can they keep up the engagement?

0:20:30.320 --> 0:20:34.399
<v Speaker 8>And over there the algorithm, the content recommendation algorithm, matters

0:20:34.440 --> 0:20:37.600
<v Speaker 8>a great deal because what Twitter did wrong was they

0:20:37.640 --> 0:20:39.879
<v Speaker 8>screwed up the algorithm. Right now, if I go on

0:20:39.920 --> 0:20:43.480
<v Speaker 8>my home feed, I don't see any of the people

0:20:43.600 --> 0:20:46.480
<v Speaker 8>I follow. I see feeds from people who are paying

0:20:46.520 --> 0:20:49.160
<v Speaker 8>Twitter eight dollars a month. That's not what I want

0:20:49.240 --> 0:20:49.800
<v Speaker 8>to see.

0:20:50.320 --> 0:20:53.800
<v Speaker 5>And that's very random content, Like I'm only on Twitter

0:20:54.080 --> 0:20:56.280
<v Speaker 5>for eco and finance news, and then I just see

0:20:56.320 --> 0:21:02.359
<v Speaker 5>completely random tweets constantly. So threads the capability to get

0:21:02.359 --> 0:21:05.520
<v Speaker 5>that algorithm play back in and also potentially get advertisers

0:21:05.560 --> 0:21:07.280
<v Speaker 5>in who were spooked by Elon Musk.

0:21:08.080 --> 0:21:09.080
<v Speaker 3>Yeah, it's pretty eirz.

0:21:09.160 --> 0:21:12.200
<v Speaker 1>So when are they going to start putting as madisine suggesting?

0:21:12.240 --> 0:21:13.879
<v Speaker 1>What do they can start loading ads on there?

0:21:14.040 --> 0:21:16.960
<v Speaker 8>I hope they don't do it this year. You really

0:21:17.000 --> 0:21:20.840
<v Speaker 8>need the engagement going. Until the engagement hits like twenty

0:21:20.880 --> 0:21:24.240
<v Speaker 8>five thirty minutes are day per daily active users, I

0:21:24.280 --> 0:21:26.840
<v Speaker 8>mean it would be I think two premature to layer

0:21:26.960 --> 0:21:29.440
<v Speaker 8>ads and I really hope they don't do that.

0:21:30.440 --> 0:21:31.199
<v Speaker 10>So what else is this?

0:21:31.240 --> 0:21:32.840
<v Speaker 1>I mean, the meta story is up at conjillion one

0:21:32.880 --> 0:21:36.680
<v Speaker 1>hundred and forty percent this year basically on cost cuts.

0:21:37.080 --> 0:21:39.399
<v Speaker 1>I hate to ask what's next? But what's next here?

0:21:39.440 --> 0:21:41.400
<v Speaker 1>I mean I'm looking at the stock at two hundred

0:21:41.480 --> 0:21:44.920
<v Speaker 1>ninety bucks. The all time high was back in about

0:21:44.920 --> 0:21:47.000
<v Speaker 1>a year two years ago in twenty twenty one at

0:21:47.000 --> 0:21:47.800
<v Speaker 1>three hundred.

0:21:47.520 --> 0:21:49.600
<v Speaker 3>And eighty bucks. What's the bull case to get us

0:21:49.640 --> 0:21:50.040
<v Speaker 3>back there?

0:21:50.160 --> 0:21:53.800
<v Speaker 8>Well, so think of why people became negative on meta

0:21:54.000 --> 0:21:57.640
<v Speaker 8>it was because the blue app was losing engagement. They

0:21:57.640 --> 0:22:00.320
<v Speaker 8>had to find the next growd driver for engagement. They

0:22:00.320 --> 0:22:03.480
<v Speaker 8>thought Meta Worse was the one. Obviously that didn't work out.

0:22:03.960 --> 0:22:06.760
<v Speaker 8>Now they have found something that can add to the engagement.

0:22:07.400 --> 0:22:10.199
<v Speaker 1>So where are we on the metaverse discussion? I think

0:22:10.280 --> 0:22:13.280
<v Speaker 1>that's a side story really that was going to change

0:22:13.320 --> 0:22:13.800
<v Speaker 1>the world.

0:22:13.880 --> 0:22:17.080
<v Speaker 8>And I mean they still are selling hardware, but in

0:22:17.160 --> 0:22:21.000
<v Speaker 8>terms of engagement, they're not getting engagement on the Meta

0:22:21.040 --> 0:22:24.520
<v Speaker 8>Worse app that they have created. So engagement is coming

0:22:24.520 --> 0:22:27.560
<v Speaker 8>from threads or what they're doing on Instagram.

0:22:27.960 --> 0:22:30.280
<v Speaker 5>Are we going to start to see a roll off

0:22:30.359 --> 0:22:33.600
<v Speaker 5>in threads users? As the parents get on there. That

0:22:33.640 --> 0:22:36.000
<v Speaker 5>was one of the viral threads posts over the weekend

0:22:36.200 --> 0:22:38.640
<v Speaker 5>that the parents are starting to come and therefore it's

0:22:38.640 --> 0:22:40.080
<v Speaker 5>not going to be cool in the next week.

0:22:40.720 --> 0:22:45.200
<v Speaker 8>I think ultimately it comes down to future features and algorithms.

0:22:45.200 --> 0:22:49.840
<v Speaker 8>Look how engaging the algorithm is in terms of the

0:22:49.880 --> 0:22:53.960
<v Speaker 8>content you're seeing, That to me is the key whether

0:22:54.080 --> 0:22:56.080
<v Speaker 8>or not you know your parents are there or your

0:22:56.119 --> 0:22:56.920
<v Speaker 8>relatives are there.

0:22:57.000 --> 0:23:00.560
<v Speaker 5>That second, the demographic is not consideration for you when

0:23:00.600 --> 0:23:02.320
<v Speaker 5>it comes to the success of the platform, because that's

0:23:02.359 --> 0:23:05.000
<v Speaker 5>part of what makes TikTok so great is people feel

0:23:05.040 --> 0:23:06.840
<v Speaker 5>like they can really be themselves on there because their

0:23:06.880 --> 0:23:08.760
<v Speaker 5>parents aren't on there yet, which I'm using as a

0:23:08.800 --> 0:23:11.439
<v Speaker 5>catch all phrase for like the people who would catch you.

0:23:11.600 --> 0:23:14.560
<v Speaker 8>What it does is it makes the other platforms vulnertable.

0:23:14.560 --> 0:23:17.360
<v Speaker 8>Why can't Meta come up with a Pinterest.

0:23:16.960 --> 0:23:19.480
<v Speaker 5>Copycat now right right right?

0:23:19.560 --> 0:23:22.000
<v Speaker 8>So it just opens a lot of doors in terms

0:23:22.040 --> 0:23:25.320
<v Speaker 8>of what the mode is for smaller platforms. I mean, Google,

0:23:25.440 --> 0:23:28.439
<v Speaker 8>I think will come up with something. In terms of

0:23:28.440 --> 0:23:32.280
<v Speaker 8>social media. They have to. They have, you know, over

0:23:32.359 --> 0:23:35.639
<v Speaker 8>a billion, two billion daily active users across the family

0:23:35.680 --> 0:23:37.879
<v Speaker 8>of apps. They don't have a social media app but

0:23:37.920 --> 0:23:41.000
<v Speaker 8>when you look at Google and you know maps and

0:23:41.080 --> 0:23:44.040
<v Speaker 8>all the things they have, they probably should think of

0:23:44.160 --> 0:23:48.639
<v Speaker 8>coming up with something that can rival not Twitter, but

0:23:48.720 --> 0:23:52.399
<v Speaker 8>maybe Pinterest visual search. Why can't they that right?

0:23:52.480 --> 0:23:54.440
<v Speaker 5>And with maps that could be a cool.

0:23:55.119 --> 0:23:56.600
<v Speaker 3>Men, deep Seek, thanks so much for joining us.

0:23:56.640 --> 0:23:59.640
<v Speaker 1>Man Deep Seeing, he's a senior technology channelst for Bloomberg Intelligence.

0:23:59.640 --> 0:24:02.159
<v Speaker 1>We pre him coming into the Bloomberg Interactive Broker Studio.

0:24:03.520 --> 0:24:06.920
<v Speaker 7>You're listening to the team Ken's are live program Bloomberg

0:24:07.000 --> 0:24:10.399
<v Speaker 7>Markets weekdays at ten am Eastern on Bloomberg dot Com,

0:24:10.440 --> 0:24:13.600
<v Speaker 7>the iHeartRadio app and the Bloomberg Business App, or listen

0:24:13.640 --> 0:24:15.760
<v Speaker 7>on demand wherever you get your podcasts.

0:24:18.040 --> 0:24:20.520
<v Speaker 1>Well, one of the bigger questions I think for global

0:24:20.560 --> 0:24:24.639
<v Speaker 1>economics is what's the outlook for China both as a

0:24:24.680 --> 0:24:27.840
<v Speaker 1>consumer and as a supplier. You got to get that right,

0:24:27.880 --> 0:24:30.480
<v Speaker 1>and there's a lot of challenging data points coming out

0:24:30.520 --> 0:24:31.800
<v Speaker 1>from China, so we want to kind of get the

0:24:31.880 --> 0:24:34.680
<v Speaker 1>latest on that. Hans Dal joins us. He's the CEO

0:24:34.720 --> 0:24:37.000
<v Speaker 1>of Mitchell Madison Group. He's done a bunch in his career,

0:24:37.840 --> 0:24:39.359
<v Speaker 1>but he went to business school at one of my

0:24:39.480 --> 0:24:43.720
<v Speaker 1>favorite business schools, that's the Tuch School of Business at Dartmouth.

0:24:43.920 --> 0:24:46.280
<v Speaker 1>A lot of really smart people that I know went

0:24:46.359 --> 0:24:46.720
<v Speaker 1>to talk.

0:24:46.760 --> 0:24:48.280
<v Speaker 3>And here's the thing about TUCH school.

0:24:48.600 --> 0:24:53.760
<v Speaker 1>They are by far the most loyal alumni anywhere. I'm

0:24:53.760 --> 0:24:58.080
<v Speaker 1>talking well, more than HBS and more than Duke. And

0:24:58.200 --> 0:24:59.719
<v Speaker 1>we don't know how they do it. Hans, Why are

0:24:59.720 --> 0:25:01.040
<v Speaker 1>you guys so loyal to Tuck.

0:25:02.080 --> 0:25:03.879
<v Speaker 10>I think it's the size of the class.

0:25:03.880 --> 0:25:06.879
<v Speaker 1>In the cold weather, you guys have nothing else to do,

0:25:06.920 --> 0:25:07.840
<v Speaker 1>but you might as well become.

0:25:07.680 --> 0:25:10.360
<v Speaker 3>Friendly, right exactly. Yeah, it's great.

0:25:10.520 --> 0:25:12.479
<v Speaker 1>Where you're gonna go and hand over in New Hampshire,

0:25:12.480 --> 0:25:13.399
<v Speaker 1>you might as well stay together.

0:25:13.720 --> 0:25:14.040
<v Speaker 3>Hans.

0:25:14.080 --> 0:25:16.600
<v Speaker 1>Talk to us about China here. Do you have a

0:25:16.680 --> 0:25:18.240
<v Speaker 1>view of what's going on there?

0:25:18.520 --> 0:25:18.800
<v Speaker 3>How?

0:25:18.880 --> 0:25:22.800
<v Speaker 1>How how weak is that economy? Is fiscal stimulus the answer?

0:25:22.800 --> 0:25:23.480
<v Speaker 3>Where are we there?

0:25:24.600 --> 0:25:26.199
<v Speaker 10>I think it's pretty weak. I think it's weaker than

0:25:26.200 --> 0:25:29.800
<v Speaker 10>anybody thinks. It's funny you mentioned Tacket, you know, as

0:25:29.840 --> 0:25:32.080
<v Speaker 10>I was sitting there in the nineties. Uh, you know,

0:25:32.240 --> 0:25:34.920
<v Speaker 10>the ball telling us about the uniqueness of the Japanese

0:25:35.000 --> 0:25:37.720
<v Speaker 10>business model and how that's going to change everything, and

0:25:37.760 --> 0:25:40.159
<v Speaker 10>it didn't happen. Right at the same time, you know,

0:25:40.240 --> 0:25:44.240
<v Speaker 10>all this talk about you know, the government directed economy

0:25:44.359 --> 0:25:47.919
<v Speaker 10>koretsu meti and now it's a Belton road in China Rea. Right,

0:25:47.920 --> 0:25:50.439
<v Speaker 10>there's a lot of parallels. But back to China, I

0:25:50.480 --> 0:25:52.880
<v Speaker 10>think then in a bit of a trouble. Right, So

0:25:52.920 --> 0:25:57.000
<v Speaker 10>we have Western demand weakening because of you know, recessions

0:25:57.080 --> 0:25:59.760
<v Speaker 10>or semi recessions whenever will happen, but it's going to

0:25:59.800 --> 0:26:02.800
<v Speaker 10>hit China first at the margin. Lack of demand is

0:26:02.800 --> 0:26:05.800
<v Speaker 10>going to hit that marginal producer and that's China. So China,

0:26:05.800 --> 0:26:08.720
<v Speaker 10>you can see this already has very weak producer prices

0:26:08.760 --> 0:26:12.840
<v Speaker 10>and has resulted in consumer prices being you know, inflation

0:26:12.920 --> 0:26:15.800
<v Speaker 10>being next to zero. You guys reported that that could

0:26:15.800 --> 0:26:18.480
<v Speaker 10>be a parallel to what happened in Japan, where it

0:26:18.560 --> 0:26:22.159
<v Speaker 10>also started with you know, lack of demand, trade tensions.

0:26:22.240 --> 0:26:26.480
<v Speaker 10>The United States stock market property boom followed by bust,

0:26:26.760 --> 0:26:29.600
<v Speaker 10>same kind of thing, high public sector debt, and you

0:26:29.720 --> 0:26:33.480
<v Speaker 10>ended up getting you know, liquidity trap, really long term

0:26:33.560 --> 0:26:36.920
<v Speaker 10>lost decade inflation. That is something that could truly happen

0:26:36.920 --> 0:26:37.720
<v Speaker 10>in China as well.

0:26:38.359 --> 0:26:40.879
<v Speaker 5>Well. Talk to me about what some of the moves

0:26:40.880 --> 0:26:43.960
<v Speaker 5>are from the Chinese government to try and revive a

0:26:44.040 --> 0:26:46.879
<v Speaker 5>little bit of the economy over there, particularly when it

0:26:46.880 --> 0:26:49.439
<v Speaker 5>comes to stimulus in the real estate sector. How do

0:26:49.480 --> 0:26:51.800
<v Speaker 5>you rate the moves that we're seeing from the Chinese

0:26:51.840 --> 0:26:54.000
<v Speaker 5>government in terms of trying to shore up that space.

0:26:55.200 --> 0:26:57.000
<v Speaker 10>I mean, there's only so much they can do, right.

0:26:57.040 --> 0:26:59.480
<v Speaker 10>I mean, again, it's the parallel to what happened in Japan.

0:26:59.720 --> 0:27:05.720
<v Speaker 10>It's it's almost scary how similar these things are. Once

0:27:05.760 --> 0:27:09.600
<v Speaker 10>you lower interest rates in a zero inflation or deflation environment,

0:27:10.040 --> 0:27:12.439
<v Speaker 10>there's nothing you can do right. You can't lower interest

0:27:12.480 --> 0:27:15.840
<v Speaker 10>rates to negative points, right, So when you reach that

0:27:15.960 --> 0:27:18.720
<v Speaker 10>point and consumers have lost a lot of money in

0:27:18.760 --> 0:27:21.119
<v Speaker 10>the stock market and in the property market. Don't forget

0:27:21.200 --> 0:27:23.760
<v Speaker 10>stock market is down fifty percent or so from this

0:27:23.800 --> 0:27:25.800
<v Speaker 10>peak in two thousand and seven. It's been a long time.

0:27:26.240 --> 0:27:27.680
<v Speaker 10>A lot of people have lost a lot of money

0:27:27.720 --> 0:27:30.760
<v Speaker 10>in China, and what are they going to do?

0:27:30.920 --> 0:27:31.080
<v Speaker 6>Right?

0:27:31.160 --> 0:27:33.760
<v Speaker 10>In cash, at least you don't lose it, right, So

0:27:33.800 --> 0:27:36.199
<v Speaker 10>that that's the dynamic that's going on there. And I

0:27:36.240 --> 0:27:37.800
<v Speaker 10>think there's a lot of things that are outside of

0:27:37.800 --> 0:27:40.680
<v Speaker 10>the control of the Chinese government as well. Right that

0:27:40.760 --> 0:27:44.239
<v Speaker 10>the West is really diversifying. I mean, some people call

0:27:44.280 --> 0:27:47.040
<v Speaker 10>it diversification, decoupling, whatever you want to call it yell

0:27:47.080 --> 0:27:49.960
<v Speaker 10>and call the diversification, which I think makes sense, but

0:27:50.080 --> 0:27:52.920
<v Speaker 10>that is demand that's going to be lacking, and these

0:27:52.960 --> 0:27:57.159
<v Speaker 10>factories in China cannot easily be you know, retooled to

0:27:57.640 --> 0:28:01.639
<v Speaker 10>anything other than supplying the West with goods, and I

0:28:01.680 --> 0:28:04.439
<v Speaker 10>think they really don't have a lot of options. On

0:28:04.520 --> 0:28:08.159
<v Speaker 10>top of that, you have, you know, negative demographic trends,

0:28:08.200 --> 0:28:10.600
<v Speaker 10>and this is always something that is accompanied these women

0:28:10.680 --> 0:28:15.200
<v Speaker 10>bus cycles in Japan, in Taiwan, Korea, you know where

0:28:15.200 --> 0:28:19.320
<v Speaker 10>the working age population peaks and then it declines, and

0:28:19.359 --> 0:28:22.080
<v Speaker 10>that really leads to really two things. One is the

0:28:22.119 --> 0:28:26.200
<v Speaker 10>innovation and spirit and the willingness to invest declines. You know,

0:28:26.240 --> 0:28:27.719
<v Speaker 10>when you're older, you're not going to take a lot

0:28:27.760 --> 0:28:30.199
<v Speaker 10>of risks. At the same time, you're fear workers. So

0:28:30.240 --> 0:28:33.600
<v Speaker 10>these are all highly negative trends that are very very

0:28:33.600 --> 0:28:35.960
<v Speaker 10>hard to change. And on top of that, what you

0:28:36.119 --> 0:28:40.000
<v Speaker 10>have that you didn't have in Japan is an extremely

0:28:40.080 --> 0:28:43.000
<v Speaker 10>negative perception of China in the West. I mean, you

0:28:43.000 --> 0:28:45.280
<v Speaker 10>look at the poles, right, and this could be driven

0:28:45.320 --> 0:28:50.200
<v Speaker 10>by spy balloons that you know, Cuba spy stations, all

0:28:50.200 --> 0:28:53.000
<v Speaker 10>this kind of stuff, all these various scandals, but people

0:28:53.080 --> 0:28:56.400
<v Speaker 10>have a more negative perception of China now than in

0:28:56.440 --> 0:28:58.960
<v Speaker 10>the middle of the pandemic, and that's pretty scary. So

0:28:59.000 --> 0:29:01.640
<v Speaker 10>that limits what policy makers can do in the US

0:29:01.680 --> 0:29:02.600
<v Speaker 10>to help China.

0:29:02.680 --> 0:29:06.360
<v Speaker 1>You know, in hindsight, I'm still not sure why the

0:29:06.440 --> 0:29:09.920
<v Speaker 1>Chinese government cracked down on what was arguably one of

0:29:09.960 --> 0:29:12.720
<v Speaker 1>their most biggest success stories in the last decades, which

0:29:12.720 --> 0:29:17.240
<v Speaker 1>is their technology space with Ali Baba and JD dot Com.

0:29:17.360 --> 0:29:20.480
<v Speaker 1>Is it anything more than is it nothing more than

0:29:20.560 --> 0:29:24.160
<v Speaker 1>just we're reasserting government control over you guys that have

0:29:24.240 --> 0:29:25.440
<v Speaker 1>just gotten too big for your bridges.

0:29:26.960 --> 0:29:29.160
<v Speaker 10>I think so certainly not a smart move, right, that

0:29:29.560 --> 0:29:32.800
<v Speaker 10>sense of real chilling method nested to the entrepreneurial community.

0:29:33.120 --> 0:29:35.160
<v Speaker 10>You're not going to invest if you know, in the

0:29:35.240 --> 0:29:37.920
<v Speaker 10>US you can become a billionaire and people might give you,

0:29:37.920 --> 0:29:39.560
<v Speaker 10>you know, a bad pr but if you end up

0:29:39.560 --> 0:29:42.400
<v Speaker 10>in jail, that's a whole another thing, right, So I

0:29:42.400 --> 0:29:44.720
<v Speaker 10>think that was a terrible mistake, and I think they're

0:29:44.720 --> 0:29:47.320
<v Speaker 10>going to pay for that as well with economic growth.

0:29:47.920 --> 0:29:49.480
<v Speaker 5>Last week, Hans, you gave me a little bit of

0:29:49.560 --> 0:29:53.560
<v Speaker 5>a preview on our politics show about what Yellen's trip

0:29:53.600 --> 0:29:55.840
<v Speaker 5>to China could look like, and you basically said that

0:29:56.120 --> 0:29:59.040
<v Speaker 5>we would not be getting any big headlines out of

0:29:59.040 --> 0:30:02.280
<v Speaker 5>that trip. Following the trip now and looking at some

0:30:02.320 --> 0:30:03.680
<v Speaker 5>of the news to come out of it, did anything

0:30:03.720 --> 0:30:05.560
<v Speaker 5>surprise you?

0:30:05.640 --> 0:30:07.240
<v Speaker 10>Not really. I mean it was a lot of talk

0:30:07.400 --> 0:30:10.000
<v Speaker 10>pop and I don't expect any policy changes cutting out

0:30:10.000 --> 0:30:13.280
<v Speaker 10>of that. She talked about setting up guardrails to competition.

0:30:13.800 --> 0:30:18.240
<v Speaker 10>She mentioned the word diversification, and I think that's not

0:30:18.440 --> 0:30:23.600
<v Speaker 10>particularly good for the Chinese. But I just think the

0:30:23.640 --> 0:30:26.760
<v Speaker 10>degrees of freedom for action are just very limited on

0:30:26.800 --> 0:30:30.320
<v Speaker 10>both sides, just not a whole lot that can be done.

0:30:30.760 --> 0:30:33.360
<v Speaker 1>So but it seems like the Chinese are pulling back,

0:30:33.800 --> 0:30:35.240
<v Speaker 1>and I know a lot of people are saying, hey,

0:30:35.480 --> 0:30:37.880
<v Speaker 1>what's bad for China is good for India to the

0:30:37.880 --> 0:30:40.320
<v Speaker 1>extent that if you think China had a great two

0:30:40.360 --> 0:30:44.320
<v Speaker 1>decade run, maybe if China's closing itself off, India represents

0:30:44.640 --> 0:30:47.000
<v Speaker 1>maybe a China like opportunity over the next twenty years.

0:30:47.080 --> 0:30:49.320
<v Speaker 1>Is that something you think has some ingredience.

0:30:50.200 --> 0:30:51.920
<v Speaker 10>I mean, I don't have a lot of insights into

0:30:52.040 --> 0:30:55.440
<v Speaker 10>India itself as a destination or as a source of production.

0:30:55.600 --> 0:30:58.600
<v Speaker 10>I mean, they've certainly always had issues with the government,

0:30:58.760 --> 0:31:01.560
<v Speaker 10>red tape bureaucracy, those types of things, all the negatives

0:31:01.600 --> 0:31:05.240
<v Speaker 10>that come with with the democracy, right. But what's interesting

0:31:05.360 --> 0:31:09.200
<v Speaker 10>is that I think next year or so, the non China,

0:31:09.320 --> 0:31:13.120
<v Speaker 10>low cost Asian countries, sort of all the countries except

0:31:13.200 --> 0:31:15.920
<v Speaker 10>Japan and Korea will be more than fifty percent of

0:31:16.000 --> 0:31:19.600
<v Speaker 10>US imports. So it may be the smaller countries like

0:31:19.720 --> 0:31:23.520
<v Speaker 10>you know, Vietnam and Indonesia, but certainly also India if

0:31:23.560 --> 0:31:26.200
<v Speaker 10>they can get their act together on the infrastructure side,

0:31:26.400 --> 0:31:27.520
<v Speaker 10>that could really replace that.

0:31:27.880 --> 0:31:28.040
<v Speaker 6>You know.

0:31:28.160 --> 0:31:31.000
<v Speaker 10>At the same time, Mexico is setting export records to

0:31:31.040 --> 0:31:33.360
<v Speaker 10>the US. So I think the private sector has really

0:31:33.360 --> 0:31:36.720
<v Speaker 10>stepped up and kind of pre solved the problems that

0:31:36.760 --> 0:31:38.560
<v Speaker 10>published politicians are working on.

0:31:38.640 --> 0:31:41.040
<v Speaker 1>You know, all right, you gotta be kidding me here,

0:31:41.280 --> 0:31:44.200
<v Speaker 1>Jackson white Owming, you set up your firm in Jackson

0:31:44.280 --> 0:31:45.680
<v Speaker 1>or white Owming, Are you kidding me?

0:31:45.960 --> 0:31:46.080
<v Speaker 8>So?

0:31:46.200 --> 0:31:47.040
<v Speaker 3>Like, if you guys have a.

0:31:46.960 --> 0:31:49.480
<v Speaker 1>Good powder day, do you just shut up and just

0:31:49.520 --> 0:31:51.880
<v Speaker 1>go close up shop, go skiing.

0:31:52.400 --> 0:31:54.440
<v Speaker 10>Store of So yesterday I said about thirteen hours of

0:31:54.480 --> 0:31:56.240
<v Speaker 10>rock climbing, and I'm pretty tired. I might have a

0:31:56.480 --> 0:31:58.800
<v Speaker 10>little sunburn here, but it is a beautiful place and

0:31:58.840 --> 0:32:02.160
<v Speaker 10>I recommend everybody as the Chinese visitors by the way on,

0:32:02.400 --> 0:32:05.440
<v Speaker 10>way down. Yes, the last few years, you've noticed that.

0:32:05.400 --> 0:32:06.040
<v Speaker 3>Do you expect it?

0:32:06.160 --> 0:32:08.680
<v Speaker 1>And that's kind of the government with restrictions on the flights, right,

0:32:08.760 --> 0:32:09.840
<v Speaker 1>Is that the primary issue?

0:32:09.880 --> 0:32:10.920
<v Speaker 3>We've got about twenty seconds.

0:32:11.000 --> 0:32:13.720
<v Speaker 10>No, I don't. I don't actually don't know, but it's noticeable.

0:32:13.800 --> 0:32:16.000
<v Speaker 1>Yes, yeah, we've noticed that here in New York City.

0:32:15.880 --> 0:32:19.240
<v Speaker 1>The European tourism seems like it's back in force. But

0:32:19.280 --> 0:32:21.760
<v Speaker 1>I can't say the same for the Chinese. So Hans

0:32:21.840 --> 0:32:25.440
<v Speaker 1>Du from Jackson Hole, Wyoming, which is a scam in

0:32:25.480 --> 0:32:27.160
<v Speaker 1>and of itself. I don't know how he did that,

0:32:27.680 --> 0:32:29.760
<v Speaker 1>but he's the CEO of Mitchell Madison Group. We appreciate

0:32:29.760 --> 0:32:32.480
<v Speaker 1>getting some of his insights heres we try to parse

0:32:32.520 --> 0:32:35.280
<v Speaker 1>through the economic forecast for China.

0:32:35.680 --> 0:32:38.720
<v Speaker 7>You're listening to the tape catch Are Live program Bloomberg

0:32:38.840 --> 0:32:42.440
<v Speaker 7>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:32:42.480 --> 0:32:45.720
<v Speaker 7>tune in app, Bloomberg dot Com, and the Bloomberg Business App.

0:32:45.760 --> 0:32:48.520
<v Speaker 7>You can also listen live on Amazon Alexa from our

0:32:48.600 --> 0:32:53.680
<v Speaker 7>flagship New York station, Just say Alexa play Bloomberg eleven thirty.

0:32:54.480 --> 0:32:55.880
<v Speaker 3>All right, Charlie Pellow, thank you so much.

0:32:55.880 --> 0:32:59.080
<v Speaker 1>We appreciate that Madison Mills, Paul Sweeney boiling in here

0:32:59.120 --> 0:33:02.760
<v Speaker 1>in our Bloomberg Interact Workers studio. We're also on that

0:33:02.840 --> 0:33:05.200
<v Speaker 1>YouTube thing, right, that's the streaming thing. Yeah, all right,

0:33:05.280 --> 0:33:07.600
<v Speaker 1>just go to YouTube and you can search Bloomberg at

0:33:07.600 --> 0:33:11.640
<v Speaker 1>Global News and you'll find us there. Let's talk ETFs.

0:33:12.000 --> 0:33:14.880
<v Speaker 1>There seems like there's an ETF out there for everything.

0:33:15.160 --> 0:33:18.520
<v Speaker 1>How about the Procure Disaster Recovery Strategy ETF.

0:33:18.520 --> 0:33:19.760
<v Speaker 3>I want to talk about that. We can do that

0:33:19.760 --> 0:33:19.920
<v Speaker 3>with the.

0:33:19.920 --> 0:33:23.760
<v Speaker 1>Andrew Channet, CEO of Procure a M. He joins us

0:33:23.760 --> 0:33:27.200
<v Speaker 1>here in our studio. Andrew talk to us about this fund.

0:33:27.480 --> 0:33:29.640
<v Speaker 1>What's the focus of this fund and kind of how

0:33:29.680 --> 0:33:30.520
<v Speaker 1>did it come about.

0:33:30.800 --> 0:33:33.680
<v Speaker 11>So natural disasters have been something you know, that have

0:33:33.760 --> 0:33:36.960
<v Speaker 11>been around well before humans came to this planet. But

0:33:37.200 --> 0:33:40.440
<v Speaker 11>as we start to increase population centers and increase the

0:33:40.440 --> 0:33:43.080
<v Speaker 11>amount of assets and valuables that we have in these

0:33:43.320 --> 0:33:45.240
<v Speaker 11>in these areas, many of them happen to be in

0:33:45.440 --> 0:33:48.959
<v Speaker 11>very high risk areas for extreme weather. And you know,

0:33:49.000 --> 0:33:55.040
<v Speaker 11>whether you're someone that's pushing for climate change, transition, renewable energy,

0:33:55.080 --> 0:33:57.040
<v Speaker 11>whatever that is. At the end of the day, there's

0:33:57.080 --> 0:33:59.520
<v Speaker 11>technologies that people are trying to do to help us

0:33:59.560 --> 0:34:02.960
<v Speaker 11>go more green or lower emissions. But there are companies

0:34:02.960 --> 0:34:05.720
<v Speaker 11>that actually help us prepare for natural disasters and help

0:34:05.760 --> 0:34:07.400
<v Speaker 11>save us when we need them the most. And that's

0:34:07.400 --> 0:34:10.239
<v Speaker 11>been an area that's been really underfocused on, and we

0:34:10.280 --> 0:34:12.360
<v Speaker 11>think that this is an industry that many people are

0:34:12.360 --> 0:34:15.080
<v Speaker 11>actually looking for the exposures and we wanted to provide

0:34:15.160 --> 0:34:16.120
<v Speaker 11>that fund for them.

0:34:16.280 --> 0:34:21.080
<v Speaker 5>Is it specific to companies that help with the aftermath

0:34:21.200 --> 0:34:23.880
<v Speaker 5>of a natural disaster or is it also prevention as well?

0:34:23.960 --> 0:34:25.320
<v Speaker 3>It is the full life cycle.

0:34:25.400 --> 0:34:28.120
<v Speaker 11>So you have those construction consulting and engineering companies that

0:34:28.160 --> 0:34:30.279
<v Speaker 11>come in and tell you how to better build out

0:34:30.320 --> 0:34:32.840
<v Speaker 11>your infrastructure and what where your risks are so you

0:34:32.880 --> 0:34:35.839
<v Speaker 11>can build more confidently. And then the companies that are

0:34:35.920 --> 0:34:38.560
<v Speaker 11>used during natural disasters. So you think of the wildfires

0:34:38.600 --> 0:34:41.200
<v Speaker 11>and you need fire equipment. You know, MSA Safety is

0:34:41.239 --> 0:34:44.000
<v Speaker 11>a company that's out there that's making respirators and hoods

0:34:44.000 --> 0:34:47.400
<v Speaker 11>for firefighters, and then you know, combating a wildfire, you

0:34:47.440 --> 0:34:51.480
<v Speaker 11>need helicopters and fire retardant and chemicals like that. And

0:34:51.520 --> 0:34:53.600
<v Speaker 11>then rebuilding so you know, when you have a flood

0:34:53.680 --> 0:34:56.560
<v Speaker 11>like we just saw, you know, right up in Hudson Valley,

0:34:56.719 --> 0:35:00.520
<v Speaker 11>there's really important companies for dredging, rebuilding, for construction as well,

0:35:00.800 --> 0:35:02.640
<v Speaker 11>and so it really looks at the full life cycle

0:35:02.640 --> 0:35:03.480
<v Speaker 11>of natural disasters.

0:35:03.560 --> 0:35:06.040
<v Speaker 3>How many names are in this ETA roughly fifty.

0:35:06.360 --> 0:35:08.080
<v Speaker 11>It's an equally aweighted basket as well.

0:35:08.120 --> 0:35:11.040
<v Speaker 3>And what's the assets under management? So the fund's been out.

0:35:10.880 --> 0:35:12.680
<v Speaker 11>For a little over a year and we're a little

0:35:12.719 --> 0:35:13.960
<v Speaker 11>over four million in assets.

0:35:13.960 --> 0:35:17.160
<v Speaker 1>Okay, interesting, okay, And so these types of companies, I mean,

0:35:17.360 --> 0:35:19.720
<v Speaker 1>it seems like that's a theme that has a long

0:35:19.880 --> 0:35:22.160
<v Speaker 1>term tail, I would think, right.

0:35:22.080 --> 0:35:24.640
<v Speaker 11>We certainly believe. So the White House came out a

0:35:24.640 --> 0:35:26.640
<v Speaker 11>little over a year ago saying that they believe by

0:35:26.680 --> 0:35:29.560
<v Speaker 11>the end of this century, the cost to the federal

0:35:29.600 --> 0:35:33.640
<v Speaker 11>budget alone from natural disasters maybe roughly two trillion dollars.

0:35:33.800 --> 0:35:36.880
<v Speaker 11>And that's just saying the US federal budget. Natural disasters

0:35:36.880 --> 0:35:39.919
<v Speaker 11>are a global phenomenon and they can happen at any time.

0:35:40.040 --> 0:35:42.080
<v Speaker 11>So whether you're trying to spend money on prevention or

0:35:42.080 --> 0:35:45.760
<v Speaker 11>you're spending money recovering, this is a really important industry

0:35:45.760 --> 0:35:46.759
<v Speaker 11>that should be championed.

0:35:47.000 --> 0:35:48.879
<v Speaker 5>And you also have some of the big names that

0:35:49.719 --> 0:35:52.080
<v Speaker 5>or our listeners are a little bit more familiar with,

0:35:52.080 --> 0:35:55.439
<v Speaker 5>like an Nvidia in this basket because you talk about

0:35:55.440 --> 0:35:58.719
<v Speaker 5>how their AI helps identify areas that are at risk

0:35:59.000 --> 0:36:02.160
<v Speaker 5>for natural disaster. Are there any other big kind of

0:36:02.160 --> 0:36:05.200
<v Speaker 5>household tech names in the ETF basket that you have

0:36:05.280 --> 0:36:05.680
<v Speaker 5>as well?

0:36:06.360 --> 0:36:09.880
<v Speaker 11>There are some, but really a lot of these companies

0:36:09.880 --> 0:36:15.839
<v Speaker 11>are more of the infrastructure type, building, consulting, engineering. There

0:36:15.840 --> 0:36:18.759
<v Speaker 11>are a couple of technology plays. I mean even water technology,

0:36:18.800 --> 0:36:21.080
<v Speaker 11>whatter is a huge part of natural disasters, whether that's

0:36:21.120 --> 0:36:24.440
<v Speaker 11>the cleaning up, the building of these centers, the transportation.

0:36:24.640 --> 0:36:27.279
<v Speaker 11>So a company like Xylum, which maybe many people may

0:36:27.280 --> 0:36:30.239
<v Speaker 11>know from the water technology side, has a place in

0:36:30.239 --> 0:36:31.480
<v Speaker 11>this fund currently as well.

0:36:32.360 --> 0:36:35.160
<v Speaker 1>You're wearing a shirt with kind of a Space shuttle

0:36:35.200 --> 0:36:38.120
<v Speaker 1>thing on there, so this NASA theme shirt, why is that?

0:36:38.520 --> 0:36:40.800
<v Speaker 11>So we also have a UFO, which is the world's

0:36:40.840 --> 0:36:43.080
<v Speaker 11>first pure place space ETF and there also is a

0:36:43.080 --> 0:36:46.200
<v Speaker 11>lot of overlap between space and believe it, natural disasters.

0:36:46.320 --> 0:36:48.479
<v Speaker 1>All right, give me that pitch, Give me that pitch.

0:36:48.520 --> 0:36:52.360
<v Speaker 11>So there actually was a name that was in both funds, Maxar,

0:36:52.440 --> 0:36:56.200
<v Speaker 11>which got taken private fairly recently, a satellite manufacturer and

0:36:56.239 --> 0:36:57.760
<v Speaker 11>operator company.

0:36:58.239 --> 0:37:00.120
<v Speaker 3>Satellites help us do a lot.

0:37:00.080 --> 0:37:05.040
<v Speaker 11>From detect where you have storms, sea level rises, emissions

0:37:05.040 --> 0:37:07.520
<v Speaker 11>even you're able to track emissions from space now, so

0:37:08.239 --> 0:37:12.040
<v Speaker 11>whether it be climate change or what we can be

0:37:12.120 --> 0:37:14.560
<v Speaker 11>doing and carbon footprints and whatnot, a lot of this

0:37:14.640 --> 0:37:17.399
<v Speaker 11>can be monitored from space. So you know a lot

0:37:17.440 --> 0:37:19.360
<v Speaker 11>of what we know about climate change is made possible

0:37:19.440 --> 0:37:20.200
<v Speaker 11>by satellites.

0:37:20.480 --> 0:37:23.920
<v Speaker 5>This is for Paul here the Space ETF. The biggest

0:37:24.680 --> 0:37:27.760
<v Speaker 5>chunk of that that you have is media at almost

0:37:27.760 --> 0:37:29.360
<v Speaker 5>twenty percent. What does that look like.

0:37:29.640 --> 0:37:31.960
<v Speaker 11>Yes, So when you look at the space industry today,

0:37:32.400 --> 0:37:34.840
<v Speaker 11>you know, roughly a third of it is communications. So

0:37:34.880 --> 0:37:40.880
<v Speaker 11>whether that's Internet or in broadband five g's a huge

0:37:41.360 --> 0:37:43.560
<v Speaker 11>area that people have been talking about and investing in

0:37:43.600 --> 0:37:46.719
<v Speaker 11>for several years now. But when people talk about the

0:37:46.760 --> 0:37:49.319
<v Speaker 11>future growth of the space industry, a lot of the

0:37:49.320 --> 0:37:52.160
<v Speaker 11>experts believe that roughly half of the growth over the

0:37:52.239 --> 0:37:55.640
<v Speaker 11>next ten twenty years may be from the communication side.

0:37:55.719 --> 0:37:59.040
<v Speaker 11>So media communications, you know, there's a lot of overlap

0:37:59.040 --> 0:38:02.280
<v Speaker 11>but in many of these companies nowadays, and satellite communications

0:38:02.600 --> 0:38:04.920
<v Speaker 11>is a very undercovered area in most funds, but one

0:38:04.960 --> 0:38:06.520
<v Speaker 11>that has a large representation in the UFO.

0:38:07.400 --> 0:38:10.360
<v Speaker 1>Just broadly speaking, on the ETF space is it just

0:38:11.200 --> 0:38:13.400
<v Speaker 1>full steam ahead in terms of fun flows in the

0:38:13.440 --> 0:38:16.279
<v Speaker 1>ETFs is because that's been the story for years now.

0:38:16.320 --> 0:38:18.520
<v Speaker 11>It seems like, yeah, you know, as far as as

0:38:18.600 --> 0:38:21.200
<v Speaker 11>a product wrapper, ETFs have been getting you know, a

0:38:21.239 --> 0:38:24.000
<v Speaker 11>ton of attention and inflows. When I first started bringing

0:38:24.000 --> 0:38:27.680
<v Speaker 11>out my first ETFs well over a decade ago, the

0:38:27.760 --> 0:38:30.239
<v Speaker 11>idea is that the ETF industry would be eating the

0:38:30.320 --> 0:38:32.840
<v Speaker 11>mutual fund industry's launch. And we've seen, you know, slowly,

0:38:32.840 --> 0:38:36.280
<v Speaker 11>the ETF industry globally has been getting a lot of presents.

0:38:36.560 --> 0:38:38.840
<v Speaker 11>You know, there are other types of products and vehicles

0:38:38.880 --> 0:38:41.120
<v Speaker 11>that may be competition to ETFs, but when you look

0:38:41.160 --> 0:38:44.080
<v Speaker 11>at flows, it's not just everything gets you know, x

0:38:44.120 --> 0:38:47.799
<v Speaker 11>percent per year. It's always typically pockets. Whether inflation is

0:38:47.800 --> 0:38:51.360
<v Speaker 11>the topic du jour or or you name it, whatever

0:38:51.400 --> 0:38:53.360
<v Speaker 11>that is. There are ETFs for the most part to

0:38:53.400 --> 0:38:56.080
<v Speaker 11>play that. And you know, when there are certain areas

0:38:56.080 --> 0:38:58.000
<v Speaker 11>that are in demand, ETFs do tend to get a

0:38:58.000 --> 0:38:58.800
<v Speaker 11>lot of those flows.

0:38:58.960 --> 0:39:01.840
<v Speaker 5>And in your ETFs specifically, how do you hedge against

0:39:01.840 --> 0:39:04.959
<v Speaker 5>some of the volatility that happens when you do prioritize

0:39:04.960 --> 0:39:07.080
<v Speaker 5>and focus on some of those smaller names.

0:39:07.400 --> 0:39:09.960
<v Speaker 11>So all the funds that I've been bringing out have

0:39:10.120 --> 0:39:13.040
<v Speaker 11>been passive, so they do track an index, so it's

0:39:13.040 --> 0:39:17.160
<v Speaker 11>not running and scampering and doing things as something happens.

0:39:17.400 --> 0:39:19.040
<v Speaker 11>We want to make sure that when we're working with

0:39:19.120 --> 0:39:21.920
<v Speaker 11>index providers that they have a lot of intelligence built

0:39:21.960 --> 0:39:24.760
<v Speaker 11>into them, so we're not throwing on hedges and quickly

0:39:24.800 --> 0:39:29.319
<v Speaker 11>selling positions when some major event happens. These are passive strategies,

0:39:29.440 --> 0:39:35.520
<v Speaker 11>rules based, rebalance, reconstitution depending on the funds, semiannually or

0:39:35.560 --> 0:39:39.560
<v Speaker 11>annually for the reconstitution, so names can get added and removed.

0:39:40.040 --> 0:39:42.200
<v Speaker 11>But really what we're looking at is how those companies

0:39:42.480 --> 0:39:44.080
<v Speaker 11>play into those various themes.

0:39:44.560 --> 0:39:46.120
<v Speaker 3>All right, Andrew, always.

0:39:45.800 --> 0:39:48.680
<v Speaker 1>Interesting stuff talking about ETFs, talk about a fast growing

0:39:48.760 --> 0:39:50.000
<v Speaker 1>part of the market.

0:39:50.040 --> 0:39:51.600
<v Speaker 3>ETFs are just.

0:39:51.560 --> 0:39:53.440
<v Speaker 1>Been really an amazing story here, and if you're in

0:39:53.440 --> 0:39:56.359
<v Speaker 1>a traditional mutual fund business, I'm just not sure where

0:39:56.400 --> 0:39:58.440
<v Speaker 1>that gets positioned. I know they say in retirement accounts

0:39:58.480 --> 0:40:00.960
<v Speaker 1>and other things like that, but boy, it's been a

0:40:00.960 --> 0:40:01.399
<v Speaker 1>big change.

0:40:01.440 --> 0:40:03.320
<v Speaker 3>Andrew Chenn and CEO Procure am.

0:40:03.160 --> 0:40:06.280
<v Speaker 1>Joining us live here in our very toasty Bloomberg Interactive

0:40:06.280 --> 0:40:07.080
<v Speaker 1>Broker Studio.

0:40:10.200 --> 0:40:13.319
<v Speaker 2>Thanks for listening to the Bloomberg Markets podcasts. You can

0:40:13.360 --> 0:40:17.120
<v Speaker 2>subscribe and listen to interviews at Apple Podcasts or whatever

0:40:17.200 --> 0:40:20.920
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0:40:21.120 --> 0:40:23.800
<v Speaker 2>at Matt Miller nineteen seventy three can.

0:40:23.680 --> 0:40:26.280
<v Speaker 1>I'm fall Sweeney. I'm on Twitter at pt Sweeney. Before

0:40:26.320 --> 0:40:29.120
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