WEBVTT - How Global Political Crises are Playing Out in Markets

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg

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<v Speaker 1>us live on YouTube.

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<v Speaker 2>Joining us now for an extended conversation like we should

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<v Speaker 2>have for three hours is way Lee of black Rock.

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<v Speaker 2>I don't know where to begin, so Wayley, let's start.

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<v Speaker 2>Since we're on a Pacific rim with Ross Matheson. You

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<v Speaker 2>were acclaimed in your China from mathematic skills as a kid.

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<v Speaker 2>You're a student of the Pacific Rim. I don't buy

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<v Speaker 2>the idea of doom and gloom on China. There's a

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<v Speaker 2>resiliency there. Do you detect a political an American phrase,

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<v Speaker 2>come to Jesus where they're going to be able to

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<v Speaker 2>assert five percent growth?

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<v Speaker 3>As a mathematician, one number that jumped out to me

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<v Speaker 3>just yesterday is ten year yields in China just all

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<v Speaker 3>time low below two percent. That is really remarkable. That

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<v Speaker 3>speaks to markets not feeling confident about China exiting deflationary environment.

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<v Speaker 3>That speaks to markets being quite worried about jeffentification of China.

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<v Speaker 3>So structurally there are concerns around Chinese growth.

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<v Speaker 2>Is there an embedded deflationary vector right now? I mean,

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<v Speaker 2>is it Clement Atlee nineteen thirties, Great Britain. Is it

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<v Speaker 2>a deflation that we saw with Japan over the years.

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<v Speaker 3>Well, if we look at the consumers in China, they

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<v Speaker 3>are still quite muted and really quite depressed. There has

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<v Speaker 3>been effort to stimulate consumption, but that remains below trend

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<v Speaker 3>coming out of the pandemic and looking ahead well talking

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<v Speaker 3>about environment where exports could also come under pressure. So

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<v Speaker 3>this is why we're less positive over the longer term

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<v Speaker 3>around where China is heading towards. We're expecting three percent

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<v Speaker 3>growth by the end of the ROWS, which is quite

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<v Speaker 3>a bit lower than five percent for this year, and

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<v Speaker 3>maybe they're looking at five percent for next year. We're

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<v Speaker 3>not expecting We're not expecting that given the uncertainty around it.

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<v Speaker 3>But in a very very near term valuation remains quite attractive.

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<v Speaker 3>We have events coming up around the corner, the Central

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<v Speaker 3>Economic Working Conference and the National People's Congresses Wow, so

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<v Speaker 3>all of that could provide kind of near term stimulous hopes,

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<v Speaker 3>but really the longer term story is really not that encouraging.

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<v Speaker 4>I would say, is China is the government of China?

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<v Speaker 4>Are they to what extent are they concerned about really,

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<v Speaker 4>I guess isolating themselves from the rest of the world.

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<v Speaker 4>Did they see that as a material risk? Because that

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<v Speaker 4>seems to be how it's drifting.

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<v Speaker 3>I think geopolitical fragmentation has been happening, has been deepening,

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<v Speaker 3>and is expected to continue going forward. So that's part

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<v Speaker 3>of a kind of China isolating or building spheres of

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<v Speaker 3>influence around themselves. But it's also generally the spheres of

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<v Speaker 3>influence between US and China moving further apart, which is

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<v Speaker 3>why geopolitical fragmentation is a key megaphones that Blackrock has identified.

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<v Speaker 3>There is inflationary and that is why we are positioning

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<v Speaker 3>our strategic portfolios for high for longer.

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<v Speaker 5>I want you to come back.

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<v Speaker 2>Let's start with this question, when should kids start learning calculus?

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<v Speaker 2>I mean, you know, in America used to be learned

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<v Speaker 2>at twenty two and then I was twenty. Now we

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<v Speaker 2>got kids freshman year in high school having this you know,

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<v Speaker 2>the product rule crammed down their throat.

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<v Speaker 5>When should kids start learning calculus? Way?

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<v Speaker 3>I honestly do not remember when I started learning calculus

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<v Speaker 3>maybe in junior high school.

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<v Speaker 5>Junior high school. That's sick.

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<v Speaker 6>I was good in school.

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<v Speaker 2>Did you drop that in your interview with black Rock?

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<v Speaker 5>Listen?

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<v Speaker 7>Seventh grade?

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<v Speaker 3>But the point is I don't use calculus these days

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<v Speaker 3>in my day to day job. So what exactly is

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<v Speaker 3>going to future proof the future generation in terms of

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<v Speaker 3>the things that they learn in school? Right? As AI

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<v Speaker 3>changes the nature of Johnson.

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<v Speaker 2>She gets right in the AI chat, I give it

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<v Speaker 2>up Fallsweti and Tom Kenyan.

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<v Speaker 5>Where there's Wayley of Blackrock to say she's.

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<v Speaker 2>Chief, a global chief investment strategist, barely describe your duties.

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<v Speaker 5>Look for her on LinkedIn.

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<v Speaker 2>I think of Urine, Timerate, Fidelity, and Wayy at black Rock,

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<v Speaker 2>like not just you know, hey, this is you know

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<v Speaker 2>what I had for lunch, but like really serious investment stuff.

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<v Speaker 2>Here's a drill. I'm calling it the great bull market

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<v Speaker 2>or this great bull market we're in. There's off the

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<v Speaker 2>December eighteen low up one hundred and forty five percent, SPX,

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<v Speaker 2>off the October twenty two low up whatever it is,

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<v Speaker 2>forty sixty percent. The risk of extrapolation now is front

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<v Speaker 2>and center.

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<v Speaker 5>How do you handle the emotion that we want.

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<v Speaker 2>To extrapolate this good equity news with the reality of

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<v Speaker 2>taking measured risk.

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<v Speaker 3>I think the big picture right now is not one

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<v Speaker 3>of mean revert. It's one of transformation. We're talking about

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<v Speaker 3>in an environment where actually the key focus ought to be

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<v Speaker 3>where the longer term trend is heading towards, rather than

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<v Speaker 3>where the fluctuations are around what used to be a

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<v Speaker 3>stable longer term trend. And that is also why we

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<v Speaker 3>see ten year yields being so much more sensitive to

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<v Speaker 3>months to months data releases, because we're now it is

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<v Speaker 3>almost unprecedented environment where longer term trend is actually shifting.

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<v Speaker 3>That means mean revert does not quite apply when we're

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<v Speaker 3>talking about transformation and moving targets. And that also means

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<v Speaker 3>if we think something is expensive, they can get more expensive.

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<v Speaker 3>If we think something is concentrated, they can get more

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<v Speaker 3>concentrated if there are good reasons for that to continue.

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<v Speaker 2>How did you respond to what David Costin did over

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<v Speaker 2>at Gulben Sachs modeling out since we've come so far

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<v Speaker 2>so fast, our central tendency is a low single digit outcome.

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<v Speaker 2>Heated complaints from the academic math community on how they

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<v Speaker 2>went about that study, Are you that cautious on where

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<v Speaker 2>the terminal value is of equity prices?

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<v Speaker 3>We actually took an inspiration from that analysis to try

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<v Speaker 3>to understand if the measure of concentration, which is to

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<v Speaker 3>look at the market cup of the biggest the company

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<v Speaker 3>versus the seventy fifth percent hel and look at that

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<v Speaker 3>racial right by that measure, US Aquady market is close

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<v Speaker 3>to the most concentrated in almost one hundred years, and

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<v Speaker 3>we try to understand, okay, that concentration, does it have

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<v Speaker 3>significant varying on subsequent market return over twelve months, over

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<v Speaker 3>ten years. The verdict of the analysis inspired by the

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<v Speaker 3>by the by the research a piece of research that

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<v Speaker 3>you're referring to, is that over the very near term horizon,

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<v Speaker 3>let's say investing for twenty twenty five, concentration doesn't have

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<v Speaker 3>significant bearing. And over the longer term, in a mean

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<v Speaker 3>revert environment, then it has significant baring. But we're not

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<v Speaker 3>in the mean revert environment. So we continue to think

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<v Speaker 3>that Erniest can can come through.

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<v Speaker 6>For next year.

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<v Speaker 3>We're looking at high single digit return expectation, and there

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<v Speaker 3>is reason in the context of US exceptionalism for US

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<v Speaker 3>to lean more into US equities, which is what we're

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<v Speaker 3>doing for this outlook.

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<v Speaker 2>Wait, I should buy my first share.

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<v Speaker 4>I think you should judge to this market book.

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<v Speaker 3>We should keep you one hundred shares exactly, two or

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<v Speaker 3>three shares.

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<v Speaker 7>Of that exactly.

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<v Speaker 4>Welly, So it's been a month since the US presidential election.

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<v Speaker 4>We now know we have a Republican in the White House,

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<v Speaker 4>and we now have a pretty republic controlled Congress, orthough

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<v Speaker 4>some you know, very tightly controlled. Did that change the

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<v Speaker 4>outlook for you folks at black Rock did when you

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<v Speaker 4>woke up from the election the next day, did you

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<v Speaker 4>materially change your outlook on asset allocation, stocks, bonds, US,

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<v Speaker 4>non US Did it change your outlook?

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<v Speaker 3>I think in equities America first policies would support US

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<v Speaker 3>at the expense of potentially global equities. We actually use

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<v Speaker 3>UK equity allocation to fund the further upgrade of you

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<v Speaker 3>as equities. This is what we did for this outlook.

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<v Speaker 3>But in government bonds, actually the reverse is true. Given

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<v Speaker 3>the fiscal trajectory that we now expect from well from

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<v Speaker 3>the Trump administration, but also specifically in the in the US,

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<v Speaker 3>we think that there is room for term premiere to

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<v Speaker 3>come back even more in US government bonds, which is

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<v Speaker 3>why we prefer likes of guilts over US long duration.

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<v Speaker 3>So there is a different reader cross in risk assets

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<v Speaker 3>and government bonds with the policy is that we now expect.

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<v Speaker 3>The last thing I would say credit is an interesting one.

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<v Speaker 3>Spread USIG spread is the titles since the early two thousand,

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<v Speaker 3>but that in part reflects number one, reasonably good fundamentals

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<v Speaker 3>of credit and corporates and number two worsening indebtedness for

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<v Speaker 3>US government. Right, so when we look at it from

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<v Speaker 3>a whole income total yield perspective, quality income is still

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<v Speaker 3>a very interesting theme that we want to play.

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<v Speaker 4>Are you concerned about here in the United States continued deficits,

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<v Speaker 4>continued growth in the debt. There doesn't seem to be

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<v Speaker 4>any political will to address that at all, and it

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<v Speaker 4>may just be just don't worry about it.

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<v Speaker 6>How do you guys think about that?

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<v Speaker 3>I would say two things. First, it is not a

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<v Speaker 3>US specific phenomenon, and I think what's happening in France

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<v Speaker 3>really shows that this is really across the boat. A

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<v Speaker 3>higher indebtedness is really a phenomenon across the boat. Number two,

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<v Speaker 3>we are risks on for now, we're dialing up risk

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<v Speaker 3>taking but great reprise think is the key sign post

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<v Speaker 3>that we're monitoring as we look to dynamically dow up

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<v Speaker 3>and dow down risk taking through the course of twenty

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<v Speaker 3>twenty five. So that's definitely something that we pay a

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<v Speaker 3>lot of attention to. Related to Tariff's announcement as well,

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<v Speaker 3>because higher tariffs, higher inflation, higher rate expectations, so all

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<v Speaker 3>of that is really under risk monitor as we keep

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<v Speaker 3>risk for now.

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<v Speaker 2>One final question, you were sitting in your classes, I

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<v Speaker 2>believe at Cambridge, and you ran through productivity. The great

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<v Speaker 2>myst call this year has been American economic growth resilient

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<v Speaker 2>nominal GDP. Everybody got the growthiness wrong. What portion of

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<v Speaker 2>productivity is the why we're achieving right now?

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<v Speaker 3>I think US growth has been very resilient because this

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<v Speaker 3>is not your typical cycle. I think there are some

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<v Speaker 3>force alarms, especially during some looking at the sign rule,

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<v Speaker 3>the typical recession signal not working because we are in

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<v Speaker 3>this environment of transformation rather than standard cycle. Right. There

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<v Speaker 3>are multiple disconnects that points to this is not your

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<v Speaker 3>typical business cycle. We're looking at an environment where the

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<v Speaker 3>fat is cutting rates when financial conditions are very very easy.

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<v Speaker 3>Those traditional recession signals not working. So all of that

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<v Speaker 3>means that we cannot use the old playbook to understand

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<v Speaker 3>where economy is, but also to kind of think about

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<v Speaker 3>us our location cover.

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<v Speaker 2>So at the margin, can you buy MEG seven if

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<v Speaker 2>we're not mean reverting and if we're going to a

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<v Speaker 2>new way lead terminal value? Can you add the mag

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<v Speaker 2>seven This morning.

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<v Speaker 3>Mag seven multiple is thirty times, and at the beginning

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<v Speaker 3>of twenty twenty two it was thirty five times. At

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<v Speaker 3>the inception of chat GBT late twenty twenty two it

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<v Speaker 3>was twenty five times. It is expensive, but it's not

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<v Speaker 3>extremely expensive. There are good reasons earnings momentum that supports

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<v Speaker 3>those valuations. You know, like me revert. If we're talking

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<v Speaker 3>about an index that has become more growthy in nature

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<v Speaker 3>over time, then that the meme needs to reflect the

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<v Speaker 3>more growthy nature of the of the benchmark. So we

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<v Speaker 3>continue to like Max seven. But we have broughtn out

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<v Speaker 3>how we play the AI theme because we expect that

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<v Speaker 3>to have broader read across to how economy. So public market,

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<v Speaker 3>private market, we are building the transformation, we're financing the transformation.

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<v Speaker 5>Really, thank you so much.

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<v Speaker 1>With black record, you're listening to the Bloomberg Surveillance Podcast.

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<v Speaker 1>Catch us live weekday afternoons from seven to ten am.

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<v Speaker 1>Easter Listen on Apple car Play and and brot Outo

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<v Speaker 1>with a Bloomberg Business app, or watch us live on YouTube.

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<v Speaker 2>Return to the Litmus paper of the global system. We

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<v Speaker 2>welcome out of you on YouTube on your communite quickly

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<v Speaker 2>with George Sarahs of Deutsche Bank. George, whither the dollar

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<v Speaker 2>in your view for not like the year end outlook,

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<v Speaker 2>but the bet and the dollar. Is it a resilient

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<v Speaker 2>dollar and can you model out dollar strength?

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<v Speaker 8>Hi, morning, Tom.

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<v Speaker 9>So it really all is about the policy mix over

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<v Speaker 9>the next few years. That's how I think we think

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<v Speaker 9>about it, the combination of fiscal and trade policy. And

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<v Speaker 9>the bottom line is, if you think about what is priced,

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<v Speaker 9>you're still not pricing an aggressive mix of physcal easing

0:13:35.320 --> 0:13:39.679
<v Speaker 9>or protection is trade, which is what President Trump communicated

0:13:39.800 --> 0:13:43.000
<v Speaker 9>in the election campaign. So we still see the market

0:13:43.000 --> 0:13:46.480
<v Speaker 9>as pricing on a scale of one to ten, roughly

0:13:46.520 --> 0:13:49.840
<v Speaker 9>a three out of ten. And therefore there is more

0:13:49.880 --> 0:13:52.400
<v Speaker 9>potential I think for the dollar to strengthen over the

0:13:52.440 --> 0:13:54.280
<v Speaker 9>next few months as we price more in.

0:13:55.040 --> 0:13:55.720
<v Speaker 8>But over the.

0:13:55.640 --> 0:13:58.560
<v Speaker 9>Medium term it really boils down to whether the rest

0:13:58.600 --> 0:14:02.560
<v Speaker 9>of the world can solved some of these structural issues

0:14:02.920 --> 0:14:06.320
<v Speaker 9>which are weighing on both China and Europe. And the

0:14:06.360 --> 0:14:09.720
<v Speaker 9>longer these things are delayed, I think the stronger.

0:14:09.320 --> 0:14:11.840
<v Speaker 8>The dollar will remain over the longer term.

0:14:12.080 --> 0:14:14.360
<v Speaker 4>George, we were just trying to get getting update from

0:14:14.360 --> 0:14:17.840
<v Speaker 4>from one of our reporters in Paris about the uncertainty there,

0:14:17.880 --> 0:14:21.040
<v Speaker 4>the political uncertainty in France. I'm looking at the euro

0:14:21.240 --> 0:14:25.320
<v Speaker 4>here as a proxy. We're now below one spot zero five.

0:14:25.760 --> 0:14:29.000
<v Speaker 4>It is parody something that you think is possible for

0:14:29.080 --> 0:14:30.160
<v Speaker 4>the Euro with the dollar.

0:14:30.840 --> 0:14:33.040
<v Speaker 8>That's our forecast for the Euro next year.

0:14:33.720 --> 0:14:36.040
<v Speaker 9>I think depending on what happens both out of Europe

0:14:36.080 --> 0:14:39.160
<v Speaker 9>and the US, there are even scenarios where we could

0:14:39.160 --> 0:14:44.320
<v Speaker 9>go below parity towards ninety five for example. I would

0:14:44.320 --> 0:14:47.040
<v Speaker 9>say the key variable at the moment that is impacting

0:14:47.080 --> 0:14:49.920
<v Speaker 9>the market and the economy is uncertainty.

0:14:50.560 --> 0:14:51.520
<v Speaker 8>Especially in Europe.

0:14:51.560 --> 0:14:54.080
<v Speaker 9>There are very high levels of uncertainty across the board,

0:14:54.440 --> 0:14:57.000
<v Speaker 9>both in terms of the political outcomes, and we're seeing

0:14:57.000 --> 0:15:01.360
<v Speaker 9>the negotiations around the budget in France, around global foreign policy,

0:15:01.880 --> 0:15:06.640
<v Speaker 9>and the difficulty with uncertainties, it's very hard to model

0:15:06.920 --> 0:15:09.840
<v Speaker 9>the economic impact but it's very clear that this is

0:15:09.880 --> 0:15:12.040
<v Speaker 9>showing up, and I think this is one reason why

0:15:12.040 --> 0:15:14.240
<v Speaker 9>the European economy is underperforming.

0:15:14.280 --> 0:15:16.800
<v Speaker 8>For example, is.

0:15:16.760 --> 0:15:22.000
<v Speaker 4>There a credible barecase for the US dollar. I'm hard

0:15:22.000 --> 0:15:23.680
<v Speaker 4>pressed to find one, So.

0:15:23.600 --> 0:15:25.000
<v Speaker 8>I would say there is.

0:15:25.320 --> 0:15:27.840
<v Speaker 9>There always has to be, because if there's no way

0:15:27.920 --> 0:15:30.640
<v Speaker 9>for something to go down, it must mean we're not

0:15:30.680 --> 0:15:33.560
<v Speaker 9>doing our job properly in terms of thinking about the scenarios.

0:15:33.920 --> 0:15:36.440
<v Speaker 8>So here are the two downside risks for the dollar.

0:15:37.120 --> 0:15:37.880
<v Speaker 8>The first one.

0:15:37.760 --> 0:15:41.000
<v Speaker 9>Would be if we are wrong about the fiscal policy

0:15:41.000 --> 0:15:44.080
<v Speaker 9>outlook and we get a material fiscal tightening in the US,

0:15:44.560 --> 0:15:47.320
<v Speaker 9>whether that is due to an inability to agree to something,

0:15:47.400 --> 0:15:50.440
<v Speaker 9>although presumably that probability is low given you've had a

0:15:50.480 --> 0:15:53.400
<v Speaker 9>red sweet but if you have fiscal tightening, that would

0:15:53.440 --> 0:15:55.480
<v Speaker 9>lead to slower growth and the more duble shredd and

0:15:55.520 --> 0:15:56.800
<v Speaker 9>I think the dollar would go down.

0:15:57.360 --> 0:15:58.480
<v Speaker 8>That would be one scenario.

0:15:59.120 --> 0:16:03.479
<v Speaker 9>The second would be what I would call institutional instability,

0:16:03.760 --> 0:16:07.320
<v Speaker 9>a challenge of the stability of the institutions in the US.

0:16:07.800 --> 0:16:11.240
<v Speaker 9>You would see that, for example, if FED independence was challenged.

0:16:11.840 --> 0:16:13.920
<v Speaker 9>That would be one that would certainly hit the dollar.

0:16:14.160 --> 0:16:16.640
<v Speaker 9>And I think one reason the dollar is actually strong

0:16:17.080 --> 0:16:20.240
<v Speaker 9>is that the market is seeing institutional virginity outside of

0:16:20.280 --> 0:16:23.160
<v Speaker 9>the US, seeing it in France, seeing it in Korea.

0:16:23.680 --> 0:16:27.400
<v Speaker 9>And I think that's a key driver over recent resive dollars.

0:16:27.400 --> 0:16:30.840
<v Speaker 2>Strand you tell me about the opportunity in Canada. They

0:16:30.920 --> 0:16:34.640
<v Speaker 2>got a president who's unloved, they got the teriff.

0:16:34.640 --> 0:16:37.040
<v Speaker 5>Wherees George, You're writing about Canada?

0:16:37.080 --> 0:16:40.360
<v Speaker 2>How do you profit from week Canada? Now? Do you

0:16:40.400 --> 0:16:44.200
<v Speaker 2>go Looney or do you go Canada? Remind me what's

0:16:44.240 --> 0:16:46.720
<v Speaker 2>the take that Deutsche Bank has there.

0:16:47.480 --> 0:16:49.840
<v Speaker 9>I think Canada is going to be an interesting test

0:16:49.920 --> 0:16:54.160
<v Speaker 9>case as far as President Trump's tariff policies go. So

0:16:54.240 --> 0:16:57.760
<v Speaker 9>we did see Canada being lumped together with Mexico in

0:16:57.840 --> 0:17:00.840
<v Speaker 9>the post in a social media post president Trump mate

0:17:00.920 --> 0:17:06.880
<v Speaker 9>just a few days ago, highlighting immigration and the fentanyl epidemic. Now,

0:17:06.960 --> 0:17:10.159
<v Speaker 9>the interesting thing is when you compare the flow of

0:17:10.160 --> 0:17:14.120
<v Speaker 9>immigration and fentanyl in Canada to the US and Mexico

0:17:14.160 --> 0:17:17.680
<v Speaker 9>to the US, the orders of magnitude are immensely different.

0:17:18.119 --> 0:17:19.240
<v Speaker 8>Now, that would.

0:17:19.080 --> 0:17:23.200
<v Speaker 9>Suggest the odds of an aggressive tariff policy towards Canada

0:17:23.280 --> 0:17:26.239
<v Speaker 9>are quite low. The market is indeed pricing that, and

0:17:26.359 --> 0:17:29.520
<v Speaker 9>that is our assumption, which is why we have this

0:17:29.600 --> 0:17:32.720
<v Speaker 9>view that Canada should be outperforming currencies such as the

0:17:32.760 --> 0:17:38.280
<v Speaker 9>Europe for example. But let's see. I think if come

0:17:38.400 --> 0:17:41.760
<v Speaker 9>January twentieth and there's no tariffs on Canada, we'll be fine.

0:17:42.200 --> 0:17:44.960
<v Speaker 8>But there is still a very high degree of uncertainty

0:17:45.040 --> 0:17:45.960
<v Speaker 8>on that front as well.

0:17:46.320 --> 0:17:49.320
<v Speaker 2>George, too short a conversation, George servellos at Deutsche Bank.

0:17:49.359 --> 0:17:54.159
<v Speaker 2>We need a longer conversation, soonest here is with Deutsche

0:17:54.200 --> 0:17:55.840
<v Speaker 2>Bank and foreign exchange of civilies.

0:17:56.160 --> 0:18:00.440
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:18:00.520 --> 0:18:03.720
<v Speaker 1>starting at seven am Eastern on applecar Play and Android

0:18:03.760 --> 0:18:06.600
<v Speaker 1>Auto with the Bloomberg Business app. You can also listen

0:18:06.720 --> 0:18:09.840
<v Speaker 1>live on Amazon Alexa from our flagship New York station

0:18:10.200 --> 0:18:12.920
<v Speaker 1>Just Say Alexa playing Bloomberg eleven thirty.

0:18:13.000 --> 0:18:18.320
<v Speaker 2>Bohen Haynes in Florida has all sorts of abilities, and

0:18:18.440 --> 0:18:20.320
<v Speaker 2>one of them is a more conservative path.

0:18:20.440 --> 0:18:24.800
<v Speaker 5>Joining us this morning is Jay Bowen here, too short

0:18:24.880 --> 0:18:25.320
<v Speaker 5>a visit.

0:18:26.119 --> 0:18:31.440
<v Speaker 2>You are basically not taking in the alternative investment kool aid.

0:18:32.400 --> 0:18:35.560
<v Speaker 2>To me, this is a story for next year. Where's

0:18:35.600 --> 0:18:39.359
<v Speaker 2>private equity? Where's private credit going to be? Twenty four

0:18:39.400 --> 0:18:41.440
<v Speaker 2>months thirty six months from now?

0:18:42.560 --> 0:18:46.080
<v Speaker 7>Yeah, with our approach. It's somewhat we say that we're

0:18:47.520 --> 0:18:51.800
<v Speaker 7>unconventionally conventional. With our largest client, the Tampa Fire Police Fund.

0:18:51.840 --> 0:18:54.639
<v Speaker 7>We just start our fifty first year. We've never owned

0:18:56.080 --> 0:19:00.840
<v Speaker 7>private equity, private or the latest whip, so you.

0:19:00.880 --> 0:19:03.080
<v Speaker 5>Got a fifty position in MEG seven.

0:19:03.240 --> 0:19:05.399
<v Speaker 7>Now I will say this, which is important. One of

0:19:05.400 --> 0:19:08.960
<v Speaker 7>our largest holdings and we decided this along several years ago.

0:19:09.040 --> 0:19:11.159
<v Speaker 7>You can play these markets in the public markets. One

0:19:11.200 --> 0:19:15.000
<v Speaker 7>of our largest holdings is Blacksman, which is the as

0:19:15.000 --> 0:19:17.280
<v Speaker 7>you know, the largest private equity firm in the world,

0:19:17.440 --> 0:19:20.240
<v Speaker 7>so we can we can play these markets in a

0:19:20.359 --> 0:19:24.960
<v Speaker 7>very efficient liquid way, including real estate, also without having

0:19:25.000 --> 0:19:28.120
<v Speaker 7>to go into the more risky corners of those areas.

0:19:28.320 --> 0:19:32.080
<v Speaker 4>Tommy's you can probably tell from Jay's accent University of

0:19:32.080 --> 0:19:33.720
<v Speaker 4>North Carolina at Chapel.

0:19:33.400 --> 0:19:36.800
<v Speaker 5>Hill that this is Merry Christmas.

0:19:36.800 --> 0:19:40.560
<v Speaker 4>Pool seems another Carolina guy coverman in here. Oh boy, Jay,

0:19:40.640 --> 0:19:43.320
<v Speaker 4>talk to us about your work with the Tampa Firefighters

0:19:43.320 --> 0:19:43.679
<v Speaker 4>and police.

0:19:43.880 --> 0:19:44.840
<v Speaker 6>You mentioned you.

0:19:44.960 --> 0:19:48.440
<v Speaker 4>Manage your pensions fund for fifty years.

0:19:48.440 --> 0:19:51.880
<v Speaker 7>Correct. My father forged a relationship in nineteen seventy four.

0:19:53.440 --> 0:19:55.919
<v Speaker 7>The firm was founded in North Carolina. We were in

0:19:55.960 --> 0:19:58.719
<v Speaker 7>Atlanta forever now we're caught the COVID wave and then

0:19:59.720 --> 0:20:03.280
<v Speaker 7>the of the Jacksville area. And yeah, it's just a

0:20:03.400 --> 0:20:07.600
<v Speaker 7>very high quality, long term approach and it's proven to

0:20:07.680 --> 0:20:10.760
<v Speaker 7>be The model has proven to be quite successful. And

0:20:11.080 --> 0:20:14.439
<v Speaker 7>every year that goes by, we're able to show another

0:20:14.480 --> 0:20:17.520
<v Speaker 7>set of twenty year rolling data, which they will do you.

0:20:18.000 --> 0:20:20.359
<v Speaker 2>That's short term right here. What are you doing on

0:20:20.400 --> 0:20:21.960
<v Speaker 2>a twenty year roll? Are you doing in a sixty

0:20:22.040 --> 0:20:25.000
<v Speaker 2>forty split? What is the pixie dust you're doing? Like

0:20:25.040 --> 0:20:26.720
<v Speaker 2>to beat USPX is at the goal.

0:20:27.800 --> 0:20:31.520
<v Speaker 7>We are certainly oriented towards equities in common stocks specifically,

0:20:31.640 --> 0:20:35.720
<v Speaker 7>typically we're allowed to invest sixty five percent of the

0:20:35.720 --> 0:20:39.399
<v Speaker 7>portfolio in common stocks on a cost basis, not on

0:20:39.440 --> 0:20:41.400
<v Speaker 7>a market value basis. So in a bull market that's

0:20:41.400 --> 0:20:43.639
<v Speaker 7>going to move up close to seventy seventy five maybe.

0:20:44.000 --> 0:20:45.920
<v Speaker 7>And the balance is that the bond side of the

0:20:45.960 --> 0:20:48.720
<v Speaker 7>portfolio is strictly for income instability.

0:20:49.280 --> 0:20:51.280
<v Speaker 5>We don't trade the bond. We gotta interrupt.

0:20:51.600 --> 0:20:55.719
<v Speaker 2>You're running to find benefit program for a public sector

0:20:55.800 --> 0:21:00.879
<v Speaker 2>pension fund and you're popping sixty five seventy seventy five equities.

0:21:01.000 --> 0:21:04.479
<v Speaker 7>Correct, And we've been the sole manager for fifty years

0:21:04.840 --> 0:21:07.560
<v Speaker 7>and according to all the public fund.

0:21:07.440 --> 0:21:12.280
<v Speaker 2>Got the number one performing define benefit program in the country.

0:21:12.520 --> 0:21:15.160
<v Speaker 7>That's what they say for one years through fifty years.

0:21:15.320 --> 0:21:17.240
<v Speaker 7>So if you believe the database, what.

0:21:17.200 --> 0:21:20.400
<v Speaker 2>Have you done since December of twenty eighteen? Our theme

0:21:20.440 --> 0:21:22.200
<v Speaker 2>to the end of the year. Here is this great

0:21:22.400 --> 0:21:26.280
<v Speaker 2>bull market. What are you up from Christmas Eve twenty eighteen?

0:21:26.359 --> 0:21:27.520
<v Speaker 2>Is you got that number in your head?

0:21:27.800 --> 0:21:30.680
<v Speaker 7>Don't I don't have that number in my head. I've

0:21:30.720 --> 0:21:33.280
<v Speaker 7>got the thirty I've got the thirty one separate twenty

0:21:33.359 --> 0:21:35.679
<v Speaker 7>year rolling increments, and I had that.

0:21:35.800 --> 0:21:38.960
<v Speaker 4>So what's what's it? What's a type of stock you

0:21:39.000 --> 0:21:39.960
<v Speaker 4>guys like to own?

0:21:40.000 --> 0:21:40.480
<v Speaker 8>Are you?

0:21:40.560 --> 0:21:40.639
<v Speaker 2>Do?

0:21:40.640 --> 0:21:45.040
<v Speaker 4>You have a technology bent here? You're owning corporate? Corporate's financials.

0:21:45.119 --> 0:21:45.600
<v Speaker 6>How do you guys do?

0:21:46.119 --> 0:21:48.400
<v Speaker 7>It's top down in thematic we're trying to get ahead

0:21:48.400 --> 0:21:51.199
<v Speaker 7>of these trends. Well currently one of our big trends

0:21:51.240 --> 0:21:55.720
<v Speaker 7>we like finding these we call them technology companies disguised

0:21:55.760 --> 0:21:59.400
<v Speaker 7>as industrial companies, companies like Eating and Corning and Teledigm.

0:21:59.720 --> 0:22:02.200
<v Speaker 7>You know, you might think, oh wow, these are somewhat honey.

0:22:02.240 --> 0:22:05.280
<v Speaker 7>Well they might be industrial, but they're very sophisticated from

0:22:05.280 --> 0:22:10.680
<v Speaker 7>a technology standpoint. They're providing, they're helping electrify and digitize

0:22:10.760 --> 0:22:14.760
<v Speaker 7>the industrial base. There's a lot of demand and massive

0:22:14.800 --> 0:22:17.119
<v Speaker 7>tailwinds in that area that we see going forward.

0:22:17.160 --> 0:22:19.119
<v Speaker 4>Do you guys have a value? Let me ask you

0:22:19.200 --> 0:22:21.040
<v Speaker 4>put it to this. What is your valuation crates here?

0:22:21.119 --> 0:22:23.119
<v Speaker 4>How do you think about valuation? Because you could look

0:22:23.119 --> 0:22:25.359
<v Speaker 4>at some of these names, whether they're Max seven, we're

0:22:25.400 --> 0:22:29.040
<v Speaker 4>just some other technology names and really have to have

0:22:29.119 --> 0:22:31.000
<v Speaker 4>some gumption here to buy some of these things.

0:22:31.000 --> 0:22:32.000
<v Speaker 6>How do you think about valuation?

0:22:32.240 --> 0:22:32.600
<v Speaker 5>Correct?

0:22:32.680 --> 0:22:35.840
<v Speaker 7>And that has really changed over the last particularly the

0:22:35.880 --> 0:22:38.000
<v Speaker 7>last fifteen years or so, where it's a much more

0:22:38.119 --> 0:22:41.239
<v Speaker 7>dynamic type of approach. We've always looked ahead. We're not

0:22:41.280 --> 0:22:45.800
<v Speaker 7>really that concerned with current earnings. With our long term approach.

0:22:45.840 --> 0:22:47.639
<v Speaker 7>We have the luxury and they've given us. The board

0:22:47.640 --> 0:22:49.720
<v Speaker 7>down there has given us the luxury of really looking out.

0:22:50.200 --> 0:22:52.920
<v Speaker 7>So a company that might look expensive on a current basis,

0:22:53.119 --> 0:22:55.000
<v Speaker 7>if we look out and feel like the tailwinds are

0:22:55.000 --> 0:22:56.440
<v Speaker 7>there and the trees are there, we're willing to pay

0:22:56.520 --> 0:22:57.080
<v Speaker 7>up a little.

0:22:56.880 --> 0:22:57.280
<v Speaker 5>Bit for it.

0:22:57.640 --> 0:23:00.200
<v Speaker 2>Tell me about Florida, I mean I make jokes about

0:23:00.200 --> 0:23:05.119
<v Speaker 2>It's not funny. Tampa's stadium was destroyed they're going to

0:23:05.160 --> 0:23:10.000
<v Speaker 2>play in the Yankee spring straining park. I guess they're

0:23:10.080 --> 0:23:14.000
<v Speaker 2>hurricanes in the Florida economy. Where is it all two

0:23:14.080 --> 0:23:14.800
<v Speaker 2>years from now?

0:23:15.359 --> 0:23:15.760
<v Speaker 7>For her?

0:23:16.040 --> 0:23:17.600
<v Speaker 5>I mean, are we done with?

0:23:17.840 --> 0:23:21.320
<v Speaker 2>Are we done building six thousand square foot houses.

0:23:21.200 --> 0:23:22.760
<v Speaker 5>On the water that get blown over?

0:23:23.920 --> 0:23:28.440
<v Speaker 7>I think that that trend is going to be curtailed

0:23:28.600 --> 0:23:32.600
<v Speaker 7>somewhat because of the insurance situation down there, which is

0:23:32.720 --> 0:23:35.720
<v Speaker 7>is changing as we as we speak. But it's still

0:23:35.720 --> 0:23:40.120
<v Speaker 7>a Look, it's still a high growth market state from

0:23:40.160 --> 0:23:43.520
<v Speaker 7>an economic policy standpoint. Is I think going to continue

0:23:43.520 --> 0:23:48.959
<v Speaker 7>to attract, but I think that the certainly it's going

0:23:49.000 --> 0:23:49.439
<v Speaker 7>to moderate.

0:23:49.560 --> 0:23:50.440
<v Speaker 5>Now you got to come back.

0:23:50.520 --> 0:23:52.639
<v Speaker 2>I mean, I can't tell you, folks how unusual this

0:23:52.720 --> 0:23:55.919
<v Speaker 2>conversation is with Jay Bowen, but I just want to know.

0:23:56.440 --> 0:23:59.439
<v Speaker 2>I mean, I'm certain every meal you've ever taken with

0:23:59.520 --> 0:24:03.119
<v Speaker 2>the Tampa Union has been at burn Steakhouse. Are you

0:24:03.240 --> 0:24:06.400
<v Speaker 2>eating in the bar or do you go into one

0:24:06.400 --> 0:24:10.000
<v Speaker 2>of the back rooms when you get to eat?

0:24:10.080 --> 0:24:12.600
<v Speaker 7>Because the wine list is in a phone book?

0:24:12.840 --> 0:24:13.560
<v Speaker 5>Have you been in? Then?

0:24:13.560 --> 0:24:16.200
<v Speaker 7>I get lost in that phone book and I never

0:24:16.600 --> 0:24:17.239
<v Speaker 7>it's time to go.

0:24:17.440 --> 0:24:21.479
<v Speaker 2>Have they ever taken you downstairs to the wine cellar

0:24:21.600 --> 0:24:23.720
<v Speaker 2>of Burned Steakhouse, Tampa, Florida.

0:24:23.960 --> 0:24:25.920
<v Speaker 7>Yeah, but they maybe put a blindfold only.

0:24:26.840 --> 0:24:30.359
<v Speaker 2>They took me down there once, paul It's like acres.

0:24:31.119 --> 0:24:32.399
<v Speaker 2>It's it's unreal.

0:24:32.480 --> 0:24:33.639
<v Speaker 5>I eat in the barn.

0:24:34.040 --> 0:24:37.439
<v Speaker 2>I try to eat right directly across the bar, and

0:24:37.520 --> 0:24:40.159
<v Speaker 2>I get better service there, I think. But it's great.

0:24:40.920 --> 0:24:43.080
<v Speaker 2>Is it written into the bow and Haynes agreement that

0:24:43.160 --> 0:24:46.159
<v Speaker 2>you only can dine at Burns Steakhouse in Tampa.

0:24:46.320 --> 0:24:47.840
<v Speaker 7>You've given me the idea of the day.

0:24:48.600 --> 0:24:52.360
<v Speaker 2>I think if Paula says, road trip to Tampa Bay

0:24:52.359 --> 0:24:55.640
<v Speaker 2>will talk to the firefighters. Jay Bowen, thank you so much,

0:24:55.680 --> 0:24:58.640
<v Speaker 2>and I really exceptional day.

0:24:58.640 --> 0:25:08.480
<v Speaker 1>Here for news, this is the Bloomberg Surveillance Podcast. Listen

0:25:08.640 --> 0:25:12.360
<v Speaker 1>live each weekday starting at seven am Eastern on Applecarplay

0:25:12.359 --> 0:25:15.200
<v Speaker 1>and Android Auto with the Bloomberg Business app. You can

0:25:15.240 --> 0:25:19.040
<v Speaker 1>also watch us live every weekday on YouTube and always

0:25:19.080 --> 0:25:20.280
<v Speaker 1>on the Bloomberg terminal.

0:25:20.760 --> 0:25:24.920
<v Speaker 2>Our newspapers, it's a Lisa Mantale hour. She's not seen

0:25:24.960 --> 0:25:27.960
<v Speaker 2>Mawana too, either of I. What do you got, Lisa?

0:25:28.600 --> 0:25:33.560
<v Speaker 10>I know I definitely not this weekend. This let's see

0:25:33.760 --> 0:25:35.320
<v Speaker 10>where I want to start, Okay, so we'll start with

0:25:35.359 --> 0:25:39.440
<v Speaker 10>the Washington Post. They're talking about Starbucks and Neslie. They're

0:25:39.440 --> 0:25:42.120
<v Speaker 10>facing some scrutiny. This is because of labor practices over

0:25:42.200 --> 0:25:46.639
<v Speaker 10>in China. They're saying coffee farms in Starbucks, Nestlie's supply

0:25:46.800 --> 0:25:49.320
<v Speaker 10>chains and China they're not living up to ethical standards.

0:25:49.560 --> 0:25:51.680
<v Speaker 6>This is according to report by China Labor Watch.

0:25:51.720 --> 0:25:55.119
<v Speaker 10>They said they're using kids as workers, they're making workers

0:25:55.200 --> 0:25:59.520
<v Speaker 10>work excessive hours, different safety standards. So it's an investigation

0:25:59.560 --> 0:26:02.399
<v Speaker 10>that covered twenty six farms, but it really starts to

0:26:02.400 --> 0:26:05.840
<v Speaker 10>show how the challenges of these big companies are facing

0:26:06.119 --> 0:26:10.720
<v Speaker 10>monitoring labor costs, labor in China. Both companies do did

0:26:10.840 --> 0:26:13.960
<v Speaker 10>say that they pledged to investigate further, but it's just

0:26:14.000 --> 0:26:16.800
<v Speaker 10>something going on now that that they're starting to become

0:26:16.840 --> 0:26:17.919
<v Speaker 10>more aware of all mentions.

0:26:17.960 --> 0:26:20.000
<v Speaker 2>His driver, I had a driver this morning, Bentley in

0:26:20.040 --> 0:26:23.240
<v Speaker 2>the garage and and he said he's just back from Thailand,

0:26:23.600 --> 0:26:26.720
<v Speaker 2>and he says, do Americans understand those people are making twelve.

0:26:26.520 --> 0:26:27.240
<v Speaker 5>Dollars a day?

0:26:27.840 --> 0:26:30.920
<v Speaker 2>I mean the labor Steve Roach called it the labor arbitrage.

0:26:31.320 --> 0:26:33.080
<v Speaker 4>And so this is all price of coffee is up

0:26:33.080 --> 0:26:36.680
<v Speaker 4>fifty eight percent year to date. So it's been Yeah,

0:26:36.720 --> 0:26:39.800
<v Speaker 4>it's amazing. How does Starbucks manage they Well, what's your

0:26:40.280 --> 0:26:41.800
<v Speaker 4>daughter's lattelet?

0:26:42.040 --> 0:26:46.320
<v Speaker 6>He runs me about eight bucks now exactly for public coffee.

0:26:46.640 --> 0:26:49.080
<v Speaker 6>Well she gets the big one, of course, the ven.

0:26:49.480 --> 0:26:51.920
<v Speaker 5>Pittsburgh Martini's cost eight bucks.

0:26:52.119 --> 0:26:52.679
<v Speaker 3>Exactly.

0:26:53.560 --> 0:26:54.520
<v Speaker 8>That's the world we live in.

0:26:54.800 --> 0:26:55.680
<v Speaker 6>I need a Martinia.

0:26:56.800 --> 0:26:58.639
<v Speaker 10>I would just say we got I might have to

0:26:58.920 --> 0:27:02.000
<v Speaker 10>ask Baltoonis about the next story. But meme coins, they

0:27:02.000 --> 0:27:04.520
<v Speaker 10>are having a moment financial time, saying you can thank

0:27:04.560 --> 0:27:08.240
<v Speaker 10>President Electrum Donald Trump for this. So these are tokens

0:27:08.240 --> 0:27:12.080
<v Speaker 10>that are representing online viral moments, things like the euthanized

0:27:12.119 --> 0:27:16.639
<v Speaker 10>gray squirrel, like the pygmy hippopotamus, the cartoon dog. They've

0:27:16.720 --> 0:27:20.119
<v Speaker 10>all exploded in value since last month's US presidential election.

0:27:20.920 --> 0:27:24.000
<v Speaker 10>More established meme coins like doge coin, Tom's favorite, they've

0:27:24.040 --> 0:27:27.200
<v Speaker 10>outperformed Bitcoin over the past month. They've even been joined

0:27:27.560 --> 0:27:30.320
<v Speaker 10>by a group of new coins. But critics are saying,

0:27:30.320 --> 0:27:33.800
<v Speaker 10>you know what, meme coins nothing more than this entertaining asset. Yeah,

0:27:33.840 --> 0:27:36.840
<v Speaker 10>they say they're reminiscent of the craze from NFTs during.

0:27:36.640 --> 0:27:38.760
<v Speaker 6>The crypto crypto bubble of twenty twenty one.

0:27:39.280 --> 0:27:41.960
<v Speaker 4>But so traders I guess they're betting that the Trump

0:27:41.960 --> 0:27:46.320
<v Speaker 4>administration will usher in more crypto friendly attitudes and regulations

0:27:46.320 --> 0:27:49.119
<v Speaker 4>in Washington. I guess that's the fun metal play behind it,

0:27:49.200 --> 0:27:49.960
<v Speaker 4>the reason.

0:27:49.760 --> 0:27:50.680
<v Speaker 6>No other reason.

0:27:52.480 --> 0:27:54.440
<v Speaker 5>Comment, everyone knows.

0:27:55.280 --> 0:27:57.719
<v Speaker 4>Yeah, so just those kids. You can have fun with that.

0:27:57.760 --> 0:27:58.920
<v Speaker 4>Speculat all you want.

0:27:58.960 --> 0:27:59.359
<v Speaker 3>Have fun.

0:28:00.200 --> 0:28:01.480
<v Speaker 6>Okay, we'll go to sports now.

0:28:01.480 --> 0:28:04.040
<v Speaker 10>Okay, Juan Soto, you know they've been, he's been having

0:28:04.080 --> 0:28:07.000
<v Speaker 10>talked with everyone. His agent is sick from the Yankees.

0:28:07.040 --> 0:28:09.320
<v Speaker 10>His agent is saying he's starting to eliminate teams from

0:28:09.320 --> 0:28:13.080
<v Speaker 10>those negotiations. Okay, all right, So who is he met?

0:28:13.119 --> 0:28:15.920
<v Speaker 10>He's met with the Yankees, right, the Mets, Los Angeles, Dodgers,

0:28:15.960 --> 0:28:17.560
<v Speaker 10>Boston Red Sox, Toronto Blue Jo.

0:28:17.720 --> 0:28:18.600
<v Speaker 5>He just cut that ship.

0:28:18.680 --> 0:28:19.280
<v Speaker 6>That's where it is.

0:28:19.320 --> 0:28:21.240
<v Speaker 2>We'll give him Plymouth Rock.

0:28:21.440 --> 0:28:23.960
<v Speaker 5>Good morning ninety nine, Boston.

0:28:24.320 --> 0:28:27.919
<v Speaker 2>Let's give one Soto Plymouth Rock showing the Red Sox.

0:28:28.000 --> 0:28:28.480
<v Speaker 5>What do you got?

0:28:28.480 --> 0:28:29.560
<v Speaker 6>What's the updated?

0:28:30.080 --> 0:28:35.080
<v Speaker 10>So his agent is just saying jan is a methodical thinker.

0:28:35.400 --> 0:28:38.680
<v Speaker 10>He hasn't said yet, but he rejected those who say

0:28:38.760 --> 0:28:42.280
<v Speaker 10>high spending teams like the Yankees and Dodgers are buying championships.

0:28:42.480 --> 0:28:46.120
<v Speaker 10>So he rejected that offer, but sodo, what's the history?

0:28:46.160 --> 0:28:48.560
<v Speaker 10>So he turned down four hundred and forty million dollars

0:28:48.960 --> 0:28:51.560
<v Speaker 10>fifteen year offer from Washington back in twenty twenty two

0:28:51.840 --> 0:28:54.040
<v Speaker 10>that moved him to the Nationals to trade him to

0:28:54.200 --> 0:28:56.960
<v Speaker 10>San Diego, which dealt him to the Yankees last December.

0:28:57.000 --> 0:28:59.320
<v Speaker 10>So he's looking for money, so who's going to give

0:28:59.320 --> 0:28:59.640
<v Speaker 10>it to him?

0:28:59.680 --> 0:29:01.680
<v Speaker 6>Will? But he started to eliminate some of those.

0:29:02.880 --> 0:29:05.080
<v Speaker 5>I think that's what it comes down here.

0:29:05.320 --> 0:29:08.720
<v Speaker 2>There was a picture named Snell who reminds me Red

0:29:08.760 --> 0:29:11.680
<v Speaker 2>Sox fans of bruce Hurst from years ago were when

0:29:11.720 --> 0:29:14.960
<v Speaker 2>he shows up, he's the best picture in baseball. And

0:29:15.000 --> 0:29:16.800
<v Speaker 2>he Snell just joined the Dodgers.

0:29:16.920 --> 0:29:17.120
<v Speaker 6>Yep.

0:29:17.400 --> 0:29:20.440
<v Speaker 5>So for Snell and Soto to be back with the

0:29:20.520 --> 0:29:24.400
<v Speaker 5>Dodgers as sick, yep, it's gonna be Who's he? Do

0:29:24.440 --> 0:29:25.480
<v Speaker 5>we know he's eliminated?

0:29:25.840 --> 0:29:28.720
<v Speaker 6>No, he won't say, but he's starting to eliminate.

0:29:28.920 --> 0:29:31.920
<v Speaker 4>Oh boy, what I've here on sports Raiser, We'll here's

0:29:31.920 --> 0:29:32.920
<v Speaker 4>something next week and I'll.

0:29:32.800 --> 0:29:34.640
<v Speaker 6>Defer to ari on that he knows all that stuff.

0:29:34.680 --> 0:29:38.719
<v Speaker 2>But okay, well, official surveillance team coverage, probably a remote

0:29:38.760 --> 0:29:43.440
<v Speaker 2>in Boston coming from Plymouth Rocket to give me get

0:29:43.440 --> 0:29:44.160
<v Speaker 2>to one soda.

0:29:44.240 --> 0:29:44.800
<v Speaker 5>What do you got?

0:29:44.840 --> 0:29:45.600
<v Speaker 6>All right? Last one?

0:29:45.640 --> 0:29:48.520
<v Speaker 10>You can now get a pizza and a wedding dress

0:29:48.760 --> 0:29:50.000
<v Speaker 10>delivered all in one.

0:29:50.600 --> 0:29:52.920
<v Speaker 6>The reason why David's.

0:29:52.480 --> 0:29:55.280
<v Speaker 10>Bridle teamed up with door Dash. So now door Dash

0:29:55.520 --> 0:29:59.440
<v Speaker 10>is delivering bridal dresses in under an hour if you

0:29:59.480 --> 0:30:00.600
<v Speaker 10>can buy it or not.

0:30:01.240 --> 0:30:03.040
<v Speaker 6>But the company really needs it. I mean, you think

0:30:03.040 --> 0:30:05.440
<v Speaker 6>about it. They filed for bankruptcy twice.

0:30:05.800 --> 0:30:07.560
<v Speaker 10>But what they thought They thought it would be big

0:30:07.560 --> 0:30:11.240
<v Speaker 10>because they did test runs with like accessories like necklaces

0:30:11.320 --> 0:30:12.800
<v Speaker 10>shape where they thought that would be the hot thing,

0:30:12.840 --> 0:30:15.680
<v Speaker 10>but they said, no, it's actually the dresses that women

0:30:15.840 --> 0:30:18.880
<v Speaker 10>are ordering, not just wedding dresses, but you know, you

0:30:18.920 --> 0:30:21.840
<v Speaker 10>have the prom dresses, you have, you know, the bride'smaid dresses,

0:30:21.880 --> 0:30:25.120
<v Speaker 10>all those kind of things. So now this is becoming,

0:30:25.160 --> 0:30:25.959
<v Speaker 10>I guess, the hot new thing.

0:30:26.000 --> 0:30:29.720
<v Speaker 4>So here's the demo. I think Lisa two thirds of

0:30:29.800 --> 0:30:31.880
<v Speaker 4>brides between the ages of twenty seven and twenty eight,

0:30:31.920 --> 0:30:35.040
<v Speaker 4>which is the key demographic for David's Bridle, used last

0:30:35.200 --> 0:30:38.360
<v Speaker 4>mile delivery service via apps on a regular basis.

0:30:38.560 --> 0:30:39.240
<v Speaker 6>So that makes sense.

0:30:39.320 --> 0:30:41.120
<v Speaker 8>Yeah, that's shut.

0:30:40.880 --> 0:30:44.240
<v Speaker 4>That down in my household, you too quick? Yeah, that's

0:30:44.680 --> 0:30:46.040
<v Speaker 4>never I will never pay for that.

0:30:46.520 --> 0:30:48.480
<v Speaker 6>Well, I know they tried the door dash with the McDonald's.

0:30:48.520 --> 0:30:51.040
<v Speaker 6>Doesn't work either, because I'll dress.

0:30:51.240 --> 0:30:52.560
<v Speaker 4>Yeah, that's something, all right.

0:30:52.640 --> 0:30:53.959
<v Speaker 6>It depends on the price of it.

0:30:54.000 --> 0:30:57.080
<v Speaker 10>I don't know, but yeah, so that's something new retail

0:30:57.160 --> 0:30:58.760
<v Speaker 10>file door dash getting into that.

0:30:59.080 --> 0:31:03.240
<v Speaker 2>Soo the Lisa Matteo or Thank You So Much Newspapers

0:31:03.920 --> 0:31:05.200
<v Speaker 2>with Alisa Matteo.

0:31:05.720 --> 0:31:10.160
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:31:10.320 --> 0:31:14.440
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:31:14.520 --> 0:31:17.600
<v Speaker 1>seven to ten am Eastern on Bloomberg dot com, the

0:31:17.720 --> 0:31:21.520
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0:31:21.520 --> 0:31:24.840
<v Speaker 1>can also watch us live every weekday on YouTube and

0:31:24.960 --> 0:31:26.560
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