WEBVTT - Market Resiliency and the June CPI

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg

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<v Speaker 2>She's more important than the Secretary of Treasury. Constance Hunter

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<v Speaker 2>joins now from EIU Concerts, you take your inflation guestimate

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<v Speaker 2>to two decimal points? Can you do that? Can we

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<v Speaker 2>actually guess to two decimal points on a change in inflation?

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<v Speaker 3>Well, you bring up a really great point, Tom, And

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<v Speaker 3>especially with regards to goods, what we've discovered is that

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<v Speaker 3>we really don't know the price elasticity of demand of

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<v Speaker 3>a number of these goods that are going to be impacted.

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<v Speaker 3>So we're triangulating all sorts of different data sources and

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<v Speaker 3>really kind of trying to get under the hood. But

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<v Speaker 3>your point is well taken, right, What is even the

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<v Speaker 3>point of going out to two decimal points if you, uh,

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<v Speaker 3>if you have this level of uncertainty. Nevertheless, we try

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<v Speaker 3>to be as precise as possible so we can learn

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<v Speaker 3>from action.

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<v Speaker 2>Do you see substitution of products going on because of tariffs.

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<v Speaker 3>Oh absolutely, I mean, and I think what will be

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<v Speaker 3>interesting to see is is again how price sensitive are

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<v Speaker 3>consumers once these price increases really start to feed through.

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<v Speaker 3>Let's remember we had an extraordinary amount of front loading

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<v Speaker 3>in the in the beginning of the year and really

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<v Speaker 3>at the end of the fourth quarter last year, where

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<v Speaker 3>consumers pre bought and suppliers pre bought ahead of these tears, right,

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<v Speaker 3>and so we're still waiting for that pig in the

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<v Speaker 3>python to move its way through Constince.

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<v Speaker 4>What do you think we'll see that? Is that something

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<v Speaker 4>that we're going to see maybe today or we're not

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<v Speaker 4>going to see any inflation impact if there is any,

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<v Speaker 4>and a lot of folks say that there may not.

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<v Speaker 4>Is that something that we may have to wait to

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<v Speaker 4>the fall to see maybe in the data.

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<v Speaker 2>You know.

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<v Speaker 3>I think you're right, Paul. I think it's I think

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<v Speaker 3>it's taking a lot longer. And what we see from

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<v Speaker 3>some alternative sources like Cavallo for example, which really it

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<v Speaker 3>does work on real time prices and they gather information

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<v Speaker 3>from four different retailers. We can guess who some of

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<v Speaker 3>those retailers are Amazon, Walmart. And when you think about

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<v Speaker 3>Amazon and the tros of PhD economists they have working

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<v Speaker 3>on how to price goods, right, they probably have better

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<v Speaker 3>information about the price elasticitute than anybody else right now

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<v Speaker 3>in the US economy. And what they show is actually

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<v Speaker 3>that domestic prices, while they increase in the beginning, have

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<v Speaker 3>really leveled off. So domestic suppliers are aware of that

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<v Speaker 3>price sensitivity, I think, and are keeping their prices competitive

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<v Speaker 3>so that they can gain market share.

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<v Speaker 2>Cons it's just to get narrow here. Forty five seconds.

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<v Speaker 2>Auto insurance is three percent of our inflation picture. Is

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<v Speaker 2>there anybody listening who's paying less and auto insurance? I

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<v Speaker 2>don't think so.

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<v Speaker 3>Constance, No, And you talked earlier about all the flash

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<v Speaker 3>floods and rain that you know, the New York area

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<v Speaker 3>experienced over the last twenty four hours, and that destroys automobiles.

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<v Speaker 3>If you get stuck in a flash flood, your car

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<v Speaker 3>is totaled, right, And so we look at the incidents

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<v Speaker 3>of perils and they're increasing, and then what happens is

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<v Speaker 3>that that gets transferred to the entire auto market. Right,

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<v Speaker 3>everybody auto insures price so that they make up losses

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<v Speaker 3>in areas where they're experiencing higher catastrophes.

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<v Speaker 2>We're trying to give constance thirty two seconds here to

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<v Speaker 2>look at.

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<v Speaker 5>The Yeah, plenty of.

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<v Speaker 2>You in the ninety second glance. You've had Constance. What

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<v Speaker 2>do you see.

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<v Speaker 3>Well, it's not showing up in goods, right if you

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<v Speaker 3>go to the commodities less food and energy. You're not

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<v Speaker 3>seeing it in apparel, which was down month over month.

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<v Speaker 3>You're not seeing it in new vehicles, which you know

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<v Speaker 3>it was also down. Used cars and trucks have a

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<v Speaker 3>little more complicated pricing in them. Medical care commodities were

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<v Speaker 3>up zero point six month over month, but you're.

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<v Speaker 2>Really not seeing it.

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<v Speaker 3>Tobacco and smoking products are up zero point eight, but

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<v Speaker 3>I don't know if that constitutes a trend. And I

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<v Speaker 3>you know, I don't know how much we import of.

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<v Speaker 2>The dancer is before we let you go, I don't

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<v Speaker 2>mean to interrupt, but this is too important. After hearing

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<v Speaker 2>from bestent than Hunter, the President's going to come out

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<v Speaker 2>and say, show me the inflation in tariffs.

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<v Speaker 3>Right, of course he is, Yes, that's that is the issue,

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<v Speaker 3>and the reality is it is not in the current data.

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<v Speaker 3>We do know, of course, that inflation is somewhat of

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<v Speaker 3>a lagging indicator.

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<v Speaker 4>Right.

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<v Speaker 3>If you're a firm, You're going to wait as long

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<v Speaker 3>as you can to raise prices because you don't want

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<v Speaker 3>to lose market share. So we just need to keep

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<v Speaker 3>in mind this is a lagging indicator.

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<v Speaker 4>Is there a scenario where the companies actually buy and

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<v Speaker 4>large do ticket in the margin and we don't see

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<v Speaker 4>it necessarily at the consumer level. Is that a scenario.

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<v Speaker 4>I know a lot of folks are suggesting that might

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<v Speaker 4>be the case.

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<v Speaker 3>Well, there was an interesting article I think it was

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<v Speaker 3>in the Wall Street Journal from my morning scan of

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<v Speaker 3>the news how Levi's is reducing the number of skews

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<v Speaker 3>in order to manage their costs so that they don't

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<v Speaker 3>have to pass on the price increases, right, So they're

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<v Speaker 3>reducing the variety of things that they're producing. And so

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<v Speaker 3>I think firms are really you know, when you think

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<v Speaker 3>about the data and analytics that's been deployed over the

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<v Speaker 3>last six years in companies have a lot more capacity

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<v Speaker 3>to control their supply chain and to control their product mix.

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<v Speaker 3>And we're seeing some of that protivity game from that

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<v Speaker 3>those data enhancements coming to bear as firms try to

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<v Speaker 3>manage through this keas.

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<v Speaker 2>So thank you so much, just wonderful to have you

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<v Speaker 2>here at eight thirty for the National inflation for a

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<v Speaker 2>constance hunter with Ei.

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<v Speaker 1>You you're listening to the Bloomberg Surveillance podcast. Catch us

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<v Speaker 2>We turned to banks. It's been a helter skelter today

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<v Speaker 2>with the Treasury Secretary. This is a more important conversation

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<v Speaker 2>for Global Wall Street. Allison Williams joins us with Bloomberg Intelligence. Allison,

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<v Speaker 2>the way I read it as a complete hack is

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<v Speaker 2>we go there's four big banks. No, there's JP Morgan

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<v Speaker 2>and there's these three other banks. Am I off the mark?

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<v Speaker 6>Well, there's JP Morgan. I always say covering JP Morgan

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<v Speaker 6>is like covering you know, four big companies, right, or

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<v Speaker 6>you know, depending on how they they've done their division.

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<v Speaker 6>I guess it's three big companies now, so you know,

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<v Speaker 6>really the net interest income guidance very strong, about six

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<v Speaker 6>hundred million upside to the course shy sick.

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<v Speaker 2>I went back and forth with Valerie Titell London. They

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<v Speaker 2>did a tangible equity of twenty percent plus. Am I right?

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<v Speaker 2>City Groups half that.

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<v Speaker 6>Uh, you are right, I mean if you look at

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<v Speaker 6>you know, so if you look at City Group, it's

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<v Speaker 6>a very different story. Right. So City Group is still

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<v Speaker 6>in a story of transition. We've been talking about that transition,

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<v Speaker 6>as we say, ever since Sandy built the house. It's

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<v Speaker 6>been being taken apart. And I think Jane Fraser is

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<v Speaker 6>making a lot of tough decisions there and really solid

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<v Speaker 6>quarter out of City Group as well. You know, they're

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<v Speaker 6>upping their net interesting income guidance. They're fixed income trading

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<v Speaker 6>up twenty percent, so that's a that you know, JP

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<v Speaker 6>Morgan and Wells were up thirteen to fourteen percent. You know,

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<v Speaker 6>City Group has an amazing rates and currencies trading business,

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<v Speaker 6>as you know, Paul, and that is really where the

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<v Speaker 6>strength is this quarter. That's where the volatility is and

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<v Speaker 6>they are really executing in that business. Again, Corn at

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<v Speaker 6>interest income going up for both of those banks. Wells

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<v Speaker 6>Fargo a little softer, but Wells Fargo is looking at

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<v Speaker 6>the overall number. Keep in mind that there is corenet

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<v Speaker 6>interest income and then there's a number that includes trading.

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<v Speaker 6>And so the trading that interest income tends to be

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<v Speaker 6>off set in fees. I think, but from a headline perspective,

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<v Speaker 6>people are sort of going to be less positive on

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<v Speaker 6>those Wells Fargo results. Wells Fargo also not getting this

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<v Speaker 6>huge benefit. So as I said, they saw some growth

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<v Speaker 6>and fixed income trading, but well, you know JP Morgan

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<v Speaker 6>and City much stronger in those businesses. JP Morgan delivering

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<v Speaker 6>a billion dollars of upside in their trading and fee

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<v Speaker 6>you I haven't done the calculation yet for our City group,

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<v Speaker 6>but the trends also better for City are.

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<v Speaker 4>What are the banks saying about loan origination? Are they

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<v Speaker 4>writing loans? We're just talking to christ Van seen us

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<v Speaker 4>at all relinement about private credit, and I just think

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<v Speaker 4>back to my Chase Manhattan days.

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<v Speaker 2>We were killing it.

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<v Speaker 4>They're on the leverage loan business, making money upfront, making

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<v Speaker 4>money on the spread, syndicating by risk out to every

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<v Speaker 4>other bank around the country. What are they making loans

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<v Speaker 4>these days?

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<v Speaker 6>So they are making loans, I mean you know that

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<v Speaker 6>that the card business, which is probably not your concern

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<v Speaker 6>back then or now, but the card business is very

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<v Speaker 6>profitable for these banks and that's where the loan growth

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<v Speaker 6>has been. And again that's benefiting City and JP Morgan.

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<v Speaker 6>We have seen a little bit of pickup in the

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<v Speaker 6>commercial numbers in uh, you know, in the FED data.

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<v Speaker 6>We're going to hear what Bank America says tomorrow on that.

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<v Speaker 6>I think with regard to privates, you know, it is

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<v Speaker 6>a change. But I think if you look at, for example,

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<v Speaker 6>Goldman's business, So Paul, you know Goldman, you know their

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<v Speaker 6>merchant banking business. You know that they, you know, back

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<v Speaker 6>in the day, made a lot of money from making

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<v Speaker 6>these proprietary investments. Vulgar rule came along and said, please

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<v Speaker 6>don't do that on your balance sheet. By the way,

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<v Speaker 6>investors don't like the balance sheet, right because when you

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<v Speaker 6>make those kind of investments and you're recording gains, people

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<v Speaker 6>don't really give you a lot of credit because they

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<v Speaker 6>view them as violatil et cetera. But you have someone

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<v Speaker 6>like Goldman who's now said I'm going to be an

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<v Speaker 6>alternative asset manager, and now instead of putting my balance

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<v Speaker 6>sheet we're at risk, I'm gonna take the client's money

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<v Speaker 6>so and I'm going to earn fees. And investors like that.

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<v Speaker 6>They like asset management. It's a high multiple business and

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<v Speaker 6>so it's a higher return on equity business. And that's

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<v Speaker 6>been a long term story at Goldman. So I think

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<v Speaker 6>the banks are fine, and so that's a Goldman specific

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<v Speaker 6>but I think all the banks are doing that.

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<v Speaker 2>Okay, I want to go to the gossip of the moment.

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<v Speaker 2>Folks on the Hampton's over a beverage for choice. Allison

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<v Speaker 2>Williams is getting hammered by fancy people over the reorg

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<v Speaker 2>under Mary Erdos at JP Morgan. First of all, I'm

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<v Speaker 2>going to say they're the most successful bank asset manager,

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<v Speaker 2>the only one really competing with black Rock and the others.

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<v Speaker 2>So Mary's built a franchise and now they're saying geography

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<v Speaker 2>doesn't matter anymore. The Wall Street Journal had this great

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<v Speaker 2>summary of it. Explain to us how JP Morgan and

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<v Speaker 2>Mary Erdos is blowing up asset management private wealth.

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<v Speaker 6>Well, I think that you know, Mary Aerdos is first

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<v Speaker 6>and foremost thoughtful about the talent across her business, and

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<v Speaker 6>you know, is consistently talking about the strength they have

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<v Speaker 6>as an active manager. But one of the more interesting

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<v Speaker 6>things that Eric Belchunis is, as you know, who's the

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<v Speaker 6>expert on eats, has been talking about, is that they

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<v Speaker 6>are really gaining share in the active etf business and

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<v Speaker 6>so so that's not your that's not your question, but

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<v Speaker 6>that is something that I want to highlight that I

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<v Speaker 6>think is something happening.

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<v Speaker 2>We're in a bull market, they're minting more money than God,

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<v Speaker 2>and JP Morgan is saying, we got a problem. We

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<v Speaker 2>got to blow up private Wealth Management. Why are they

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<v Speaker 2>blowing it up and what's the goal?

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<v Speaker 6>Well, again, I don't know. I think that Mary Erdos

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<v Speaker 6>is a very thoughtful leader, and I think that again,

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<v Speaker 6>it's it's sort of like as we're as we're going

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<v Speaker 6>through the future. We've been through a long period of

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<v Speaker 6>what we call us exceptionalism. But I think that JP

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<v Speaker 6>Morgan has always focused on the world at large, focused

0:12:42.520 --> 0:12:47.000
<v Speaker 6>on emerging markets, focused on these different growth opportunities, and

0:12:47.040 --> 0:12:49.160
<v Speaker 6>I think it's just a way and by the way,

0:12:49.280 --> 0:12:52.199
<v Speaker 6>JP Morgan, I think is always as I alluded to earlier,

0:12:52.800 --> 0:12:56.160
<v Speaker 6>you know, looking at things differently. When you're a global organization,

0:12:56.360 --> 0:12:59.600
<v Speaker 6>you have products and you have regions. I think sometimes

0:13:00.080 --> 0:13:02.840
<v Speaker 6>you have to find a way to focus on both.

0:13:03.440 --> 0:13:06.160
<v Speaker 6>And again I just I go back to the fact

0:13:06.160 --> 0:13:10.480
<v Speaker 6>that they're very focused on talent, and I think that

0:13:11.080 --> 0:13:13.720
<v Speaker 6>you know, they're thoughtful about the way they run their business.

0:13:13.840 --> 0:13:16.320
<v Speaker 4>We're seeing so many good results coming out of these

0:13:16.800 --> 0:13:20.600
<v Speaker 4>US global banks. It just makes me think next week

0:13:20.640 --> 0:13:23.439
<v Speaker 4>we're going to hear from the European banks and they're

0:13:23.480 --> 0:13:27.520
<v Speaker 4>just nowhere, nowhere relative to where the US banks are.

0:13:28.440 --> 0:13:32.120
<v Speaker 4>When will Europe say we need to allow consolidation here?

0:13:32.559 --> 0:13:36.880
<v Speaker 4>I mean, they fall so far behind every single year,

0:13:36.920 --> 0:13:38.960
<v Speaker 4>it seems is it.

0:13:38.880 --> 0:13:39.600
<v Speaker 2>Not an issue for them?

0:13:39.640 --> 0:13:39.920
<v Speaker 5>They do?

0:13:40.000 --> 0:13:42.920
<v Speaker 6>And I think that. I mean, I think the biggest

0:13:43.360 --> 0:13:45.560
<v Speaker 6>change Paul over the last you know, let's let's call

0:13:45.640 --> 0:13:48.760
<v Speaker 6>it a decade or a couple of decades, right time flies,

0:13:49.360 --> 0:13:51.280
<v Speaker 6>is that you know, first of all, the US has

0:13:51.480 --> 0:13:54.560
<v Speaker 6>benefited from a virtuous cycle of having sort of a

0:13:54.559 --> 0:13:57.400
<v Speaker 6>better economy for a long period of time. But really,

0:13:57.920 --> 0:14:01.640
<v Speaker 6>you know, they've they've been from the virtuous cycle of investment.

0:14:01.640 --> 0:14:04.080
<v Speaker 6>They had the money to invest, they invested the money,

0:14:04.120 --> 0:14:07.480
<v Speaker 6>so that's led to better revenue, better market share, et cetera.

0:14:07.559 --> 0:14:10.440
<v Speaker 6>Whereas I think for the Europeans, you know, they try

0:14:10.480 --> 0:14:13.240
<v Speaker 6>to sort of cut their way to profitability and that

0:14:13.440 --> 0:14:17.120
<v Speaker 6>ended up you know, as you know, investment, banking and

0:14:17.160 --> 0:14:20.440
<v Speaker 6>trading these are not businesses where you should go bargain shopping, right,

0:14:20.560 --> 0:14:25.360
<v Speaker 6>and so I think that they didn't invest that hurt them.

0:14:25.800 --> 0:14:29.200
<v Speaker 6>They've had to exit businesses, et cetera. But it's difficult

0:14:29.320 --> 0:14:35.360
<v Speaker 6>because each of the everyone agrees we really should consolidate,

0:14:35.560 --> 0:14:37.960
<v Speaker 6>merge some of the best ones together. But no one

0:14:38.000 --> 0:14:40.400
<v Speaker 6>wants to be the seller. Everyone wants to be the buyer.

0:14:40.560 --> 0:14:45.360
<v Speaker 6>Everybody wants the champion in their home market. That's that's

0:14:45.400 --> 0:14:46.160
<v Speaker 6>the difficulty.

0:14:46.960 --> 0:14:49.000
<v Speaker 2>Are we at the point where the shock of that

0:14:49.120 --> 0:14:51.880
<v Speaker 2>later this year quickly here Allison, as we get one

0:14:51.880 --> 0:14:55.000
<v Speaker 2>big industry roll up because they find price, and as

0:14:55.040 --> 0:14:56.440
<v Speaker 2>the sellers say enough, let's go.

0:14:57.320 --> 0:14:59.840
<v Speaker 6>I mean, you know, we could have had this conversation

0:15:00.240 --> 0:15:01.560
<v Speaker 6>fourteen a million.

0:15:01.680 --> 0:15:02.520
<v Speaker 5>You know, I just.

0:15:02.640 --> 0:15:09.480
<v Speaker 6>Think that those political sensitivities, it's it's very difficult and

0:15:09.520 --> 0:15:14.280
<v Speaker 6>it's hard to say whatever would would change their mind

0:15:15.600 --> 0:15:18.720
<v Speaker 6>makes that makes sense on paper, you know, politics get

0:15:18.760 --> 0:15:19.120
<v Speaker 6>in the way.

0:15:19.240 --> 0:15:22.400
<v Speaker 2>Ten seconds tomorrow, Golden Sacks, Morgan Stanley, they do better than.

0:15:22.240 --> 0:15:25.240
<v Speaker 6>Good I you know, based on the training and feed

0:15:25.280 --> 0:15:27.600
<v Speaker 6>members we saw today, based on all the trends we

0:15:27.640 --> 0:15:29.720
<v Speaker 6>saw in the quarner, we think that it's going to

0:15:29.800 --> 0:15:32.960
<v Speaker 6>be a solid quarter for trading. We're going to want

0:15:33.000 --> 0:15:35.680
<v Speaker 6>to hear what their what their CEO clients are saying

0:15:35.880 --> 0:15:38.000
<v Speaker 6>in regard to the thank you.

0:15:37.960 --> 0:15:40.600
<v Speaker 2>So much for this brief, particularly on you know where

0:15:40.600 --> 0:15:45.840
<v Speaker 2>we are on the reorg of JP Morgan in private management,

0:15:45.880 --> 0:15:48.360
<v Speaker 2>and of course over to the other banks, particular City Bank.

0:15:49.560 --> 0:15:53.480
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:15:53.520 --> 0:15:56.520
<v Speaker 1>starting at seven am Eastern on Apple Corplay and Android

0:15:56.560 --> 0:15:59.560
<v Speaker 1>Auto with the Bloomberg Business app. You can also listen

0:15:59.640 --> 0:16:02.920
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:16:03.480 --> 0:16:07.040
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty where you get.

0:16:06.920 --> 0:16:09.200
<v Speaker 2>The private credit here with Hu von Steinas. Paul's going

0:16:09.240 --> 0:16:10.960
<v Speaker 2>to bring that in, but I got to first do

0:16:11.040 --> 0:16:13.960
<v Speaker 2>an audible here, folks, it's a surveillance audible in a

0:16:14.000 --> 0:16:17.960
<v Speaker 2>two hour conversation with Hugh von Steinas. You go, Okay,

0:16:18.000 --> 0:16:20.640
<v Speaker 2>where did this guy come from? And it's not Oliver

0:16:20.760 --> 0:16:22.880
<v Speaker 2>Wyman or it's worked with the Bank of England with

0:16:23.200 --> 0:16:25.920
<v Speaker 2>at the time Governor Karney Or he did this as

0:16:26.160 --> 0:16:30.200
<v Speaker 2>ubs No Da da da da years ago. I think

0:16:30.320 --> 0:16:33.680
<v Speaker 2>Queen Anne Hugh von Steinas was at Morgan Stanley and

0:16:33.760 --> 0:16:39.080
<v Speaker 2>he was absolutely definitive on EU finance joining us now

0:16:39.280 --> 0:16:43.080
<v Speaker 2>with Oliver Wyman, Hu von steinas audible, I saw the

0:16:43.200 --> 0:16:47.800
<v Speaker 2>French Trustsaur, not the Oat, Hugh, the Trustsaur roll over

0:16:47.960 --> 0:16:53.360
<v Speaker 2>yesterday with acceleration. How fragile is French debt given mister

0:16:53.440 --> 0:16:55.440
<v Speaker 2>Trump Shenanigans.

0:16:56.040 --> 0:16:58.480
<v Speaker 7>Oh, Tom, thanks for having me on again. Look, I

0:16:58.520 --> 0:17:01.240
<v Speaker 7>think there's a lot of pressure from invests for on

0:17:01.080 --> 0:17:04.000
<v Speaker 7>the on the French situation. A lot of fixed income

0:17:04.040 --> 0:17:08.160
<v Speaker 7>investors are struggling with the lack of debt consolidation. And look,

0:17:08.200 --> 0:17:10.159
<v Speaker 7>you know, let's play the history here, Tom. You know,

0:17:10.240 --> 0:17:12.840
<v Speaker 7>I think the French shrout the last thirty years have

0:17:12.920 --> 0:17:15.679
<v Speaker 7>somewhat struggled with reigning and public debt. In fact, if

0:17:15.680 --> 0:17:18.000
<v Speaker 7>you go back to nineteen eighty one eighty three, you know,

0:17:18.040 --> 0:17:21.080
<v Speaker 7>actually Meterol had to do a huge pivot because he

0:17:21.200 --> 0:17:23.679
<v Speaker 7>just wasn't controlling the public debts back there. And so

0:17:23.680 --> 0:17:25.800
<v Speaker 7>I think there's there's real pressure here. And look, the

0:17:25.840 --> 0:17:28.840
<v Speaker 7>fact that Spread's already trading outside Portugal and Spain and

0:17:28.840 --> 0:17:30.679
<v Speaker 7>there's a lot of debate about whether they trade outside

0:17:30.760 --> 0:17:35.360
<v Speaker 7>lately in Greece tells you how stress and unnervous folks are.

0:17:35.520 --> 0:17:38.880
<v Speaker 2>The Jurgon he's our jargon. I mean, he was a

0:17:38.920 --> 0:17:42.639
<v Speaker 2>state dinner and he brought the conversation or Holt with

0:17:42.720 --> 0:17:45.800
<v Speaker 2>his jargon. What he's saying there is French credits, trading

0:17:45.880 --> 0:17:49.439
<v Speaker 2>worser Folks and Portugal, Greece and all here. One final

0:17:49.560 --> 0:17:53.000
<v Speaker 2>question on this and beginning to see real yields inflation

0:17:53.080 --> 0:17:57.399
<v Speaker 2>adjusting yields in Europe come up as well, can President Trump,

0:17:57.440 --> 0:18:01.320
<v Speaker 2>with his tariff debate pull up e who really yields

0:18:01.359 --> 0:18:03.200
<v Speaker 2>to bring Europe to a standstill?

0:18:05.320 --> 0:18:08.359
<v Speaker 7>It's a great question. It's certainly possible. I think, look,

0:18:08.480 --> 0:18:10.800
<v Speaker 7>isn't the issue with taris at the moment that the

0:18:10.840 --> 0:18:13.160
<v Speaker 7>short term pain is not there, and it's a question

0:18:13.240 --> 0:18:16.600
<v Speaker 7>more about how it impacts investments and the longer term business.

0:18:16.640 --> 0:18:18.520
<v Speaker 7>And just like you've seen the resilience in the States,

0:18:18.760 --> 0:18:21.840
<v Speaker 7>you're seeing real resilience in the European earnings and particularly

0:18:21.880 --> 0:18:24.440
<v Speaker 7>the opening of the fiscal that so I'm not sure

0:18:24.480 --> 0:18:27.720
<v Speaker 7>that it would necessarily drag it up immediately, but I

0:18:27.720 --> 0:18:30.679
<v Speaker 7>think that tension over a one to three year period,

0:18:31.119 --> 0:18:33.040
<v Speaker 7>that's where you're going to start seeing, is they're going

0:18:33.119 --> 0:18:36.119
<v Speaker 7>to be more friction in the system from lack of competitiveness,

0:18:36.280 --> 0:18:38.320
<v Speaker 7>and let's hope certainly by then we're going to see

0:18:38.320 --> 0:18:40.840
<v Speaker 7>a deal. So I'm not as convinced on that, but

0:18:40.880 --> 0:18:41.960
<v Speaker 7>you know, anything's possible.

0:18:42.560 --> 0:18:45.440
<v Speaker 4>You were starting to hear from the big banks today

0:18:45.480 --> 0:18:48.359
<v Speaker 4>in one of the areas of questioning for the banks

0:18:48.359 --> 0:18:52.000
<v Speaker 4>will be kind of how they view private credit visa v.

0:18:52.119 --> 0:18:55.800
<v Speaker 4>Their core lending business. How do you guys view what

0:18:55.880 --> 0:18:58.640
<v Speaker 4>has been just a phenomenal growth story and global wallstree,

0:18:58.680 --> 0:19:00.160
<v Speaker 4>which is private credit.

0:19:01.920 --> 0:19:05.399
<v Speaker 7>Look, so, I think the private credit train continues, and

0:19:05.480 --> 0:19:08.600
<v Speaker 7>as we've discussed many times, you know that sector is

0:19:08.600 --> 0:19:12.080
<v Speaker 7>growing twenty to twenty five percent compound because it's not

0:19:12.240 --> 0:19:15.680
<v Speaker 7>just about leverage lending and mid market lending. It's also

0:19:15.800 --> 0:19:20.080
<v Speaker 7>now about replacing investment grade, either through asset back lending,

0:19:20.160 --> 0:19:22.960
<v Speaker 7>so you know, so like private securitizations, or it's going

0:19:22.960 --> 0:19:26.159
<v Speaker 7>for these jumbo deals, you know, these really large complex deals,

0:19:26.320 --> 0:19:30.280
<v Speaker 7>and under current bank regulations, if it's risky, if it's

0:19:30.640 --> 0:19:33.640
<v Speaker 7>very large or very complex, it goes to the private

0:19:33.680 --> 0:19:36.600
<v Speaker 7>markets rather than the public. So I think there's two

0:19:36.640 --> 0:19:38.920
<v Speaker 7>games here. I think the first is the banks are

0:19:39.000 --> 0:19:41.639
<v Speaker 7>clearly fighting back, and you saw the news from one

0:19:41.640 --> 0:19:43.919
<v Speaker 7>of the big banks yesterday which you ran showing a

0:19:43.960 --> 0:19:46.480
<v Speaker 7>new group to try and come up with solutions for

0:19:46.600 --> 0:19:49.880
<v Speaker 7>more complex deals. Maybe the bank takes part. Maybe it's

0:19:49.880 --> 0:19:52.080
<v Speaker 7>sliced up and gives part to private credit, but the

0:19:52.119 --> 0:19:54.600
<v Speaker 7>banks are very much back. But I think the other story,

0:19:54.600 --> 0:19:56.200
<v Speaker 7>and I think you'll see it through this earning season,

0:19:56.280 --> 0:20:00.479
<v Speaker 7>is banks love steep yield curves, and so the interest

0:20:00.520 --> 0:20:02.840
<v Speaker 7>income for the banks I think will continue to beat

0:20:02.920 --> 0:20:06.200
<v Speaker 7>and beat and beat because these steep curves will transferrate

0:20:06.359 --> 0:20:09.480
<v Speaker 7>through to higher earnings. And therefore, even though they're seeding

0:20:09.520 --> 0:20:12.680
<v Speaker 7>ground to private credit, the core engines are still doing

0:20:12.720 --> 0:20:13.200
<v Speaker 7>really well.

0:20:13.840 --> 0:20:17.479
<v Speaker 4>So for the private credit business, are there opportunities for

0:20:18.240 --> 0:20:20.919
<v Speaker 4>retail investors to get exposure to this asset class?

0:20:23.240 --> 0:20:25.280
<v Speaker 7>Yeah, this is a great question. So we've been digging

0:20:25.280 --> 0:20:27.520
<v Speaker 7>into this. So there's been a two and a half

0:20:27.560 --> 0:20:31.199
<v Speaker 7>fold increase in the investments by wealthy in private credit

0:20:31.240 --> 0:20:34.880
<v Speaker 7>in the last three years. That's four times faster than

0:20:34.880 --> 0:20:39.200
<v Speaker 7>from traditional institutional investors. We think something like three hundred

0:20:39.240 --> 0:20:42.639
<v Speaker 7>and fifty billion dollars, or about twelve percent of private

0:20:42.640 --> 0:20:45.840
<v Speaker 7>credit assets now come from the wealthy. Now the wealthy,

0:20:45.880 --> 0:20:49.119
<v Speaker 7>though it's still it's the ultra wealthy. And one of

0:20:49.119 --> 0:20:52.880
<v Speaker 7>the biggest areas of innovation in partnerships and new products

0:20:53.200 --> 0:20:55.560
<v Speaker 7>is trying to think about expanding this to a much

0:20:55.600 --> 0:20:59.479
<v Speaker 7>broader range of clients through Evergreen Funds, and you know,

0:20:59.560 --> 0:21:03.960
<v Speaker 7>just once at Evergreen Funds are probably the single fastest

0:21:03.960 --> 0:21:07.399
<v Speaker 7>growing part of the investment universe at the moment, interval

0:21:07.440 --> 0:21:09.919
<v Speaker 7>grums are growing seventy percent from a low base. So

0:21:09.960 --> 0:21:12.040
<v Speaker 7>I think this is a narrow where there's there's quite

0:21:12.080 --> 0:21:15.040
<v Speaker 7>a lot of room to run from here with.

0:21:15.200 --> 0:21:17.640
<v Speaker 2>Us, Hugh van Stinas, with Oliver Wyman, he's too madest.

0:21:17.680 --> 0:21:19.480
<v Speaker 2>Let me put it to you. It's a it's a

0:21:19.600 --> 0:21:22.320
<v Speaker 2>really I hate him. There's a twenty one page document

0:21:22.440 --> 0:21:27.200
<v Speaker 2>Oliver Wyman. Private credit is reshaping wealth portfolios. Get it

0:21:27.280 --> 0:21:31.000
<v Speaker 2>through Oliver Wyman. We do protect the copyright of all

0:21:31.040 --> 0:21:34.000
<v Speaker 2>of our guests, Hu von Steinas, Ben Phillips, Laura Watkin

0:21:34.080 --> 0:21:37.960
<v Speaker 2>and parth Aggerwall as well. What's the risk factor here?

0:21:38.040 --> 0:21:40.920
<v Speaker 2>A wise one? Is it too much money chasing too

0:21:41.000 --> 0:21:44.800
<v Speaker 2>few private credit opportunities? Is that the quiet quality is

0:21:44.840 --> 0:21:48.080
<v Speaker 2>going to go down? Is the ir ar GONFC? I

0:21:48.160 --> 0:21:50.760
<v Speaker 2>did that. It's impressive, so I'll get out here. What's

0:21:50.800 --> 0:21:52.320
<v Speaker 2>the major risk factor here?

0:21:53.440 --> 0:21:56.080
<v Speaker 7>Look, it's great, well, I'd say so. In the net

0:21:56.400 --> 0:22:00.520
<v Speaker 7>so neartum. The biggest threat is just too much money chasing,

0:22:00.560 --> 0:22:03.680
<v Speaker 7>and credit spreads continue to depress and compress. And look,

0:22:03.680 --> 0:22:05.680
<v Speaker 7>we've already gone from you know, if you were trying

0:22:05.680 --> 0:22:09.160
<v Speaker 7>to buy a single a private credit bond two years ago,

0:22:09.359 --> 0:22:11.800
<v Speaker 7>you might be getting two percent more than a public

0:22:11.960 --> 0:22:14.240
<v Speaker 7>single A last year, it's probably one hundred and fifty

0:22:14.280 --> 0:22:16.680
<v Speaker 7>one hundred and seventy five bases over basis points. Over

0:22:16.840 --> 0:22:18.840
<v Speaker 7>today it's probably only a point. So it's probably the

0:22:19.240 --> 0:22:22.479
<v Speaker 7>excess spread is probably halved in less than twenty four months,

0:22:22.560 --> 0:22:24.159
<v Speaker 7>and so there might be if there's a lot of

0:22:24.160 --> 0:22:27.679
<v Speaker 7>money coming through. So therefore the constraint is really about

0:22:27.720 --> 0:22:32.520
<v Speaker 7>originating more assets, and so you're seeing more deals with

0:22:32.760 --> 0:22:35.840
<v Speaker 7>private credit team up with banks for partnerships, but also

0:22:35.880 --> 0:22:38.680
<v Speaker 7>looking to generate their own assets. And I think that's

0:22:38.760 --> 0:22:40.960
<v Speaker 7>the gate for me. If they don't originate enough assets,

0:22:41.200 --> 0:22:44.159
<v Speaker 7>then the spreads will compress. I think longer term, clearly

0:22:44.160 --> 0:22:46.080
<v Speaker 7>there's always going to be a credit cycle and so

0:22:46.200 --> 0:22:47.800
<v Speaker 7>that you know, and there'll be some good decisions and

0:22:47.800 --> 0:22:49.600
<v Speaker 7>bad decisions. But I think at the moment it's the

0:22:49.600 --> 0:22:50.800
<v Speaker 7>weight of money Q.

0:22:51.000 --> 0:22:55.280
<v Speaker 4>I mean, the dollars are getting just really substantial there.

0:22:55.280 --> 0:22:58.000
<v Speaker 4>Over the last decade or so, we're starting to get

0:22:58.000 --> 0:23:00.879
<v Speaker 4>more and more retail exposure there, so there need to

0:23:00.920 --> 0:23:03.480
<v Speaker 4>be some type of regulation on the private credit business, do.

0:23:03.440 --> 0:23:03.960
<v Speaker 1>You think.

0:23:05.480 --> 0:23:05.640
<v Speaker 2>So?

0:23:05.720 --> 0:23:08.320
<v Speaker 7>I think it depends what kind of regulation. So I

0:23:08.359 --> 0:23:11.400
<v Speaker 7>don't see the sector as systemic. I mean, let's remember

0:23:11.880 --> 0:23:15.159
<v Speaker 7>banks get regulated partly because they hold everyone's deposits, but

0:23:15.240 --> 0:23:19.160
<v Speaker 7>also they're very leveraged. And so when credit leaves a bank,

0:23:19.200 --> 0:23:21.800
<v Speaker 7>which it may be is ten times levered, maybe going

0:23:21.840 --> 0:23:25.120
<v Speaker 7>to an institutional account, which may be zero to one

0:23:25.160 --> 0:23:28.840
<v Speaker 7>times levered, less leverage means it's less risky when you

0:23:28.880 --> 0:23:31.840
<v Speaker 7>hit a speedbump. So I don't see a systemic But

0:23:31.960 --> 0:23:36.280
<v Speaker 7>the more you put private credit into retail portfolios, the

0:23:36.280 --> 0:23:40.120
<v Speaker 7>more that then, you know, the sec and regulators looking

0:23:40.200 --> 0:23:43.040
<v Speaker 7>at the products and protecting investors will need to think

0:23:43.080 --> 0:23:46.679
<v Speaker 7>about is this the right product? Have we got regular marks?

0:23:46.680 --> 0:23:46.840
<v Speaker 2>You know?

0:23:47.000 --> 0:23:48.399
<v Speaker 7>And I think we discussed this last time I was

0:23:48.440 --> 0:23:50.800
<v Speaker 7>in New York, the pricing conventions, So the way you

0:23:50.840 --> 0:23:53.359
<v Speaker 7>think about pricing private credit, you can't just do it

0:23:53.359 --> 0:23:57.040
<v Speaker 7>once a quarter every month, and if not more frequently.

0:23:57.119 --> 0:23:59.720
<v Speaker 7>So there's a lot of regulatory stuff which we need

0:23:59.760 --> 0:24:00.080
<v Speaker 7>to play.

0:24:00.560 --> 0:24:03.800
<v Speaker 2>I promise Dan Tannebaum, I'd read your private credit report here,

0:24:03.840 --> 0:24:05.840
<v Speaker 2>I'll get a PIMS in my hand and read that

0:24:05.960 --> 0:24:09.679
<v Speaker 2>this weekend, huvon Stein is definitive on private credit with

0:24:10.000 --> 0:24:16.120
<v Speaker 2>Oliver Wyman.

0:24:16.800 --> 0:24:20.679
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:24:20.720 --> 0:24:23.719
<v Speaker 1>starting at seven am Eastern on Apple Corplay and Android

0:24:23.760 --> 0:24:26.800
<v Speaker 1>Auto with the Bloomberg Business app. You can also watch

0:24:26.840 --> 0:24:29.800
<v Speaker 1>us live every weekday on YouTube and always on the

0:24:29.840 --> 0:24:30.920
<v Speaker 1>Bloomberg terminal.

0:24:31.160 --> 0:24:33.159
<v Speaker 2>If we're not going to turn this into a history lesson,

0:24:33.560 --> 0:24:37.280
<v Speaker 2>but the bottom line is at LC in the fifties,

0:24:37.840 --> 0:24:41.040
<v Speaker 2>Carl Popper sat with a young student named George Soros

0:24:41.440 --> 0:24:44.240
<v Speaker 2>and said, the way we think about history, the way

0:24:44.280 --> 0:24:48.800
<v Speaker 2>we digest past tense data, is maybe not as productive

0:24:48.840 --> 0:24:52.080
<v Speaker 2>as it could be with something called reflexivity, which is

0:24:52.119 --> 0:24:55.960
<v Speaker 2>a different approach. If AI is about a large language

0:24:55.960 --> 0:24:59.520
<v Speaker 2>model data dump, how are we going to move artificial

0:24:59.560 --> 0:25:03.240
<v Speaker 2>intelli eins onto what Soorrols and Popper we're talking about.

0:25:04.600 --> 0:25:06.480
<v Speaker 5>That's a great question. First of all, thank you for

0:25:06.520 --> 0:25:09.160
<v Speaker 5>having me on the show. I think as what we're

0:25:09.160 --> 0:25:13.080
<v Speaker 5>seeing currently, what is really exciting about the technology that

0:25:13.160 --> 0:25:15.919
<v Speaker 5>we're witnessing right in front of us is that it

0:25:16.000 --> 0:25:19.919
<v Speaker 5>has this capability to digest huge amounts of data and

0:25:20.040 --> 0:25:22.280
<v Speaker 5>start to make sense of it, help us make sense

0:25:22.280 --> 0:25:24.040
<v Speaker 5>of it. And I think that we have always looked

0:25:24.080 --> 0:25:26.840
<v Speaker 5>to the past to try to understand the future because

0:25:26.880 --> 0:25:29.679
<v Speaker 5>that's the only data that we had right And what

0:25:29.920 --> 0:25:33.639
<v Speaker 5>is different this time versus before is that we seem

0:25:33.680 --> 0:25:36.800
<v Speaker 5>to have been accumulating more and more data but didn't

0:25:36.800 --> 0:25:41.160
<v Speaker 5>have increased bandwidth to process it. In my mind, AI

0:25:41.240 --> 0:25:42.119
<v Speaker 5>is going to resolve this.

0:25:42.320 --> 0:25:44.960
<v Speaker 2>Okay, it's going to resolve it, but it's just nothing

0:25:45.000 --> 0:25:48.760
<v Speaker 2>more than a richer, deeper back test. Everybody did beck

0:25:48.800 --> 0:25:51.040
<v Speaker 2>to us on a difference equation. We went back to

0:25:51.080 --> 0:25:54.919
<v Speaker 2>T minus one or T minus twenty. Whatever is AI

0:25:55.040 --> 0:25:59.040
<v Speaker 2>going to change? How Global Wall Street, the pros listening

0:25:59.080 --> 0:26:00.040
<v Speaker 2>to the show.

0:26:00.000 --> 0:26:02.840
<v Speaker 5>How they back test it is going to change it?

0:26:02.880 --> 0:26:06.080
<v Speaker 5>Because actually, I'll let you know that the experience that

0:26:06.119 --> 0:26:08.800
<v Speaker 5>we have had so Reflexity platform is used by a

0:26:08.880 --> 0:26:10.919
<v Speaker 5>number of top head truants and what we have found

0:26:10.960 --> 0:26:14.000
<v Speaker 5>as they start to incorporate this into their workflow is

0:26:14.040 --> 0:26:16.479
<v Speaker 5>that they are amazed by the speed with which the

0:26:17.040 --> 0:26:19.840
<v Speaker 5>system is able to answer their questions by going straight

0:26:19.880 --> 0:26:22.919
<v Speaker 5>to the data. In fact, often they run out of

0:26:23.000 --> 0:26:25.800
<v Speaker 5>questions because you were not used to being able to

0:26:25.840 --> 0:26:29.560
<v Speaker 5>tap into the data so powerfully and so quickly, and

0:26:29.640 --> 0:26:32.760
<v Speaker 5>so we seem to now be limited only by our imagination.

0:26:32.880 --> 0:26:36.439
<v Speaker 5>So the way I think about AI helping investors on

0:26:36.480 --> 0:26:39.880
<v Speaker 5>Wall Street is giving them this superpower where they can

0:26:40.000 --> 0:26:43.199
<v Speaker 5>keep thinking about scenarios that can unfold and have the

0:26:43.280 --> 0:26:44.320
<v Speaker 5>AI back that.

0:26:44.359 --> 0:26:46.320
<v Speaker 2>Up or dispute it through the data.

0:26:46.400 --> 0:26:47.679
<v Speaker 5>It's a very objective arbiter.

0:26:47.920 --> 0:26:49.679
<v Speaker 4>Can you give us, and this is so new to

0:26:49.800 --> 0:26:53.240
<v Speaker 4>so many of us, our listeners, our viewers, what is

0:26:53.359 --> 0:26:56.080
<v Speaker 4>a typical query that you would get from an investor

0:26:56.359 --> 0:26:58.239
<v Speaker 4>client that maybe AI could be helpful with.

0:26:58.920 --> 0:27:02.200
<v Speaker 5>Well, it started with things that were extremely basic in nature.

0:27:02.240 --> 0:27:04.040
<v Speaker 5>Somebody might just say like, oh, you know, I'd like

0:27:04.080 --> 0:27:07.639
<v Speaker 5>to really understand when somebody talks about the inverted yield curve,

0:27:08.119 --> 0:27:11.920
<v Speaker 5>how accurate has that actually been in predicting recessions. It

0:27:12.000 --> 0:27:15.359
<v Speaker 5>then became a lot more complex when you might say,

0:27:16.119 --> 0:27:19.399
<v Speaker 5>look at all of financials for a specific company, be

0:27:19.400 --> 0:27:22.679
<v Speaker 5>a Tesla, Microsoft, jpm organ, whatever, tell me what is

0:27:22.680 --> 0:27:26.680
<v Speaker 5>the market not appreciating? And suddenly it's pulling together things.

0:27:26.720 --> 0:27:30.919
<v Speaker 5>It's able to glean from endless reports, news outlets and

0:27:31.000 --> 0:27:34.320
<v Speaker 5>financials and say, well, actually here are some parts of

0:27:34.359 --> 0:27:37.520
<v Speaker 5>the business that are growing extremely fast but get no

0:27:37.680 --> 0:27:40.119
<v Speaker 5>mention from the analysts, and so you could have a

0:27:40.160 --> 0:27:43.280
<v Speaker 5>rebrating the dream here is that And this is what

0:27:43.359 --> 0:27:47.399
<v Speaker 5>Reflexivity reports to do. Is if you were the first

0:27:47.400 --> 0:27:49.440
<v Speaker 5>to know that AWS was going to be a big

0:27:49.440 --> 0:27:52.639
<v Speaker 5>deal for Amazon, you would have made a lot of money.

0:27:53.520 --> 0:27:53.760
<v Speaker 2>Wow.

0:27:53.880 --> 0:27:59.320
<v Speaker 4>So this is such an amazing part of the investment process.

0:28:00.040 --> 0:28:02.520
<v Speaker 4>How are your clients using it today? I mean, how

0:28:02.600 --> 0:28:05.719
<v Speaker 4>is that evolving? Because I'm assuming this is an education

0:28:05.960 --> 0:28:09.119
<v Speaker 4>process for some pretty smart investors, some savvy investors, but

0:28:09.240 --> 0:28:12.840
<v Speaker 4>maybe they don't understand the logic behind artificial intelligence. How

0:28:12.840 --> 0:28:14.880
<v Speaker 4>are they using it today? And how do you want

0:28:14.920 --> 0:28:15.560
<v Speaker 4>them to use it?

0:28:17.240 --> 0:28:20.600
<v Speaker 5>Honestly, our first advice to the pioneering clients have come

0:28:20.640 --> 0:28:22.480
<v Speaker 5>to us and start using it, and there have been

0:28:23.200 --> 0:28:26.280
<v Speaker 5>an increasing number in the past few weeks, is just

0:28:26.600 --> 0:28:28.760
<v Speaker 5>dip their toes into a try it. I think trial

0:28:28.800 --> 0:28:30.879
<v Speaker 5>and error is very important because I think working with

0:28:31.000 --> 0:28:34.280
<v Speaker 5>AI is unlike any other software that you would have

0:28:34.359 --> 0:28:37.520
<v Speaker 5>used before. Right, where does it get data, how does

0:28:37.520 --> 0:28:38.880
<v Speaker 5>it calculate, how does it reason?

0:28:38.920 --> 0:28:39.440
<v Speaker 2>And so on?

0:28:39.440 --> 0:28:41.840
<v Speaker 5>Once you get the hang of it, however, it becomes

0:28:41.880 --> 0:28:44.360
<v Speaker 5>extremely exciting, and you can see people just get engaged

0:28:44.400 --> 0:28:44.520
<v Speaker 5>with it.

0:28:44.560 --> 0:28:46.720
<v Speaker 2>Okay, you grew up in a milieu of Harvard, MIT

0:28:46.960 --> 0:28:50.560
<v Speaker 2>and all the fancy people up in Boston. Black Shoals

0:28:50.640 --> 0:28:53.040
<v Speaker 2>came out, and I never met Fisher Black, to my

0:28:53.120 --> 0:28:56.160
<v Speaker 2>great regret, he died tragically early. But what a joy

0:28:56.200 --> 0:28:59.320
<v Speaker 2>I've had in discussing myrone Shoals and picking up the

0:28:59.360 --> 0:29:04.200
<v Speaker 2>pieces of nineteen ninety eight. How does a modeling that's new,

0:29:04.600 --> 0:29:09.520
<v Speaker 2>wrapped around reflexivity, How does this tested model work given

0:29:09.680 --> 0:29:15.880
<v Speaker 2>substantial leverage shocks the discontinuities that are brought out by leverage,

0:29:16.080 --> 0:29:17.160
<v Speaker 2>as a pro would.

0:29:17.040 --> 0:29:23.280
<v Speaker 5>Use So again, I think here the calculations that the

0:29:23.320 --> 0:29:27.760
<v Speaker 5>system will do do fall back on the traditional statistical methods.

0:29:27.840 --> 0:29:30.480
<v Speaker 5>It's not reinventing the way you're calculating things or the

0:29:30.480 --> 0:29:33.600
<v Speaker 5>way you're calculating correlations. What it's able to do, however,

0:29:34.320 --> 0:29:38.200
<v Speaker 5>is understand the analysis that you're trying to achieve and

0:29:38.240 --> 0:29:41.320
<v Speaker 5>then potentially do that analysis in three or four different ways.

0:29:41.600 --> 0:29:43.880
<v Speaker 2>Which side of the log normal curves aside. I can

0:29:43.880 --> 0:29:46.959
<v Speaker 2>see you with slide fern Rogoff in some PhD belllet

0:29:47.120 --> 0:29:51.560
<v Speaker 2>going Gaussi into lognormal toplasson distribution on a vanilla log

0:29:51.640 --> 0:29:55.080
<v Speaker 2>normal distribution, Kyl, and I'm doing this for you. It's jargon.

0:29:55.480 --> 0:29:59.120
<v Speaker 2>On a log normal distribution, the short side's more difficult

0:29:59.160 --> 0:30:03.800
<v Speaker 2>to manage alongside. Do you get better alpha pickup short

0:30:03.920 --> 0:30:05.720
<v Speaker 2>in the market versus a long market?

0:30:06.280 --> 0:30:08.720
<v Speaker 5>Actually, I think it's quite symmetric. It's true that generally

0:30:08.760 --> 0:30:13.080
<v Speaker 5>when you look at how investors perform in buying versus

0:30:13.200 --> 0:30:15.760
<v Speaker 5>getting out of positions, they're generally worse at getting out

0:30:15.760 --> 0:30:18.240
<v Speaker 5>of positions. They're quite good at picking them, but not

0:30:18.400 --> 0:30:20.400
<v Speaker 5>so good at getting rid of them. They typically do

0:30:20.480 --> 0:30:22.880
<v Speaker 5>it when they have to. So here the AI can

0:30:22.960 --> 0:30:26.440
<v Speaker 5>be helpful because it's able to actively This is what

0:30:26.600 --> 0:30:29.760
<v Speaker 5>reflexivity does spot something in the market. Let's say that

0:30:29.880 --> 0:30:32.000
<v Speaker 5>interest rates are starting to move much faster than they

0:30:32.080 --> 0:30:34.560
<v Speaker 5>have been, and you'll point to your banking stocks and

0:30:34.640 --> 0:30:37.400
<v Speaker 5>say you should pay attention to this because it could

0:30:37.480 --> 0:30:39.720
<v Speaker 5>be that there is a lot more downside races than

0:30:39.760 --> 0:30:40.240
<v Speaker 5>you realize.

0:30:40.320 --> 0:30:43.160
<v Speaker 2>This is great, thank you, So please don't be a stranger.

0:30:43.400 --> 0:30:46.760
<v Speaker 2>Yan Silagi with us with reflexivity. This is a tool

0:30:46.880 --> 0:30:49.880
<v Speaker 2>that's being used for a lot of sophisticated investors to

0:30:49.920 --> 0:30:52.680
<v Speaker 2>get out front of mind create an edge. His work

0:30:52.720 --> 0:30:56.440
<v Speaker 2>in academics with Ken Roe Gough Harvard is loaded.

0:30:56.920 --> 0:31:01.160
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen each weekday starting

0:31:01.200 --> 0:31:04.160
<v Speaker 1>at seven am Eastern on Apple Corplay and Android Auto

0:31:04.320 --> 0:31:07.240
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:31:07.360 --> 0:31:10.880
<v Speaker 1>on Amazon Alexa from our flagship New York station. Just

0:31:10.960 --> 0:31:14.880
<v Speaker 1>say Alexa Play Bloomberg eleven thirty at the newspapers.

0:31:15.160 --> 0:31:18.520
<v Speaker 2>It's a truncated version day. She came in a little parched.

0:31:18.640 --> 0:31:20.880
<v Speaker 2>I think you out, I mean what I should say? Yeah,

0:31:21.160 --> 0:31:24.360
<v Speaker 2>after the floods yesterday, Lisa Matero Trooper made it into

0:31:24.480 --> 0:31:27.080
<v Speaker 2>work today. If you serious floods in New Jersey? What

0:31:27.160 --> 0:31:27.479
<v Speaker 2>do you got?

0:31:27.720 --> 0:31:29.880
<v Speaker 8>Okay, Paul, you have to still had that big European

0:31:29.920 --> 0:31:32.240
<v Speaker 8>trip coming up, right, Okay, Okay, So this one's for you.

0:31:32.320 --> 0:31:33.920
<v Speaker 8>I saw this on the Wall Street Journal. It stood

0:31:33.960 --> 0:31:37.880
<v Speaker 8>out American travelers have less buying power this summer because

0:31:37.880 --> 0:31:40.080
<v Speaker 8>of the weekening dollar. So the Wall Street Journal said

0:31:40.120 --> 0:31:42.360
<v Speaker 8>the dollar week in thirteen percent against a euro this

0:31:42.480 --> 0:31:45.880
<v Speaker 8>year six percent against the Japanese yen. But the thing is,

0:31:45.960 --> 0:31:48.960
<v Speaker 8>it's not stopping travelers from booking trips, as you know. Okay,

0:31:49.120 --> 0:31:52.800
<v Speaker 8>people say they just might buy less while they're there. Probably,

0:31:52.960 --> 0:31:54.920
<v Speaker 8>I don't know if you plan to buy less while

0:31:54.960 --> 0:31:55.320
<v Speaker 8>you're there.

0:31:55.400 --> 0:31:57.120
<v Speaker 4>I may go down a little bit lower on the

0:31:57.200 --> 0:31:59.600
<v Speaker 4>wine list. Maybe when I'm in Italy, I might not

0:31:59.680 --> 0:32:03.680
<v Speaker 4>go for the highest end. But we'll be fine, We'll

0:32:03.720 --> 0:32:04.040
<v Speaker 4>be fine.

0:32:04.200 --> 0:32:05.680
<v Speaker 8>Yeah, And then they to also point out to you

0:32:05.760 --> 0:32:07.880
<v Speaker 8>on the bright side, it's made kind of exports cheaper,

0:32:07.920 --> 0:32:10.080
<v Speaker 8>open up opportunities for Americans to invest in those foreign

0:32:10.160 --> 0:32:12.280
<v Speaker 8>stocks as well. But an interesting take on the weekends.

0:32:12.280 --> 0:32:14.360
<v Speaker 4>And I'm hearing, you know, hear from the airlines. I

0:32:14.400 --> 0:32:16.360
<v Speaker 4>mean that, you know, the airlines took up their guidance

0:32:16.400 --> 0:32:20.320
<v Speaker 4>and reintroduced their guidance, saying that the air travels strong,

0:32:20.520 --> 0:32:24.560
<v Speaker 4>including us to Europe. So you know, if you talk

0:32:24.600 --> 0:32:27.080
<v Speaker 4>to our friends in London or Paris, they're like, they're

0:32:27.080 --> 0:32:29.800
<v Speaker 4>Americans everywhere. I'm not sure they're happy about it.

0:32:29.960 --> 0:32:32.200
<v Speaker 2>I mean, I looked at the Bulgary menu with lots

0:32:32.240 --> 0:32:35.720
<v Speaker 2>hurras of the deck. They're overlooking the famous new monuments.

0:32:35.880 --> 0:32:41.160
<v Speaker 2>They just reopened the Carpaccio di Spignola on Alio Lemon.

0:32:42.000 --> 0:32:44.480
<v Speaker 2>I can't read the rest. Twenty two euros. I mean, well,

0:32:44.560 --> 0:32:46.840
<v Speaker 2>that's that's what you expected the bulgari that's going to

0:32:46.920 --> 0:32:48.640
<v Speaker 2>cost you a couple dollars more.

0:32:48.760 --> 0:32:49.440
<v Speaker 1>I know it is.

0:32:49.840 --> 0:32:50.800
<v Speaker 2>We'll be there, We'll be there.

0:32:51.240 --> 0:32:53.120
<v Speaker 8>Do you cut back on the Sylvan years? Maybe you

0:32:53.160 --> 0:32:54.560
<v Speaker 8>don't get presents for everyone?

0:32:54.800 --> 0:32:54.920
<v Speaker 1>Right?

0:32:55.160 --> 0:32:59.560
<v Speaker 2>Exactly, there's a you come down to Spanish steps and

0:32:59.640 --> 0:33:06.040
<v Speaker 2>there's a a souvenir stores called like Gucciz. It's a

0:33:06.760 --> 0:33:09.480
<v Speaker 2>that's a you're looking at next.

0:33:09.840 --> 0:33:14.800
<v Speaker 8>Okay, Starbucks corporate managers who are working remotely currently, they're

0:33:14.840 --> 0:33:17.160
<v Speaker 8>gonna have to pack their bags relocate. They have one

0:33:17.240 --> 0:33:19.960
<v Speaker 8>year to do it. They have to go to Seattle

0:33:20.120 --> 0:33:23.240
<v Speaker 8>or Toronto within twelve months. So they put out this

0:33:23.720 --> 0:33:27.320
<v Speaker 8>back to Starbucks plan. Corporate employees are now having to

0:33:27.360 --> 0:33:29.480
<v Speaker 8>come back four days in the office a week, up

0:33:29.520 --> 0:33:32.600
<v Speaker 8>from three days starting September twenty ninth.

0:33:33.160 --> 0:33:35.720
<v Speaker 4>But what's iron days they were still on?

0:33:35.880 --> 0:33:37.760
<v Speaker 1>I know they were still on.

0:33:37.800 --> 0:33:38.360
<v Speaker 8>The three days.

0:33:39.960 --> 0:33:40.120
<v Speaker 2>Yeah.

0:33:40.160 --> 0:33:42.959
<v Speaker 8>Actually, But the thing that was ironic to me too

0:33:43.160 --> 0:33:45.960
<v Speaker 8>was that Starbucks CEO Brian Nicol like he wasn't required

0:33:46.040 --> 0:33:49.280
<v Speaker 8>to really when he first started, but the company says

0:33:49.400 --> 0:33:52.280
<v Speaker 8>he does have a residence and an office in Seattle now,

0:33:52.520 --> 0:33:54.680
<v Speaker 8>so so yeah, so he has come back.

0:33:55.040 --> 0:33:57.400
<v Speaker 2>Are they are we still doing Are they doing well?

0:33:57.640 --> 0:33:58.880
<v Speaker 4>I mean no, they're not.

0:33:59.000 --> 0:34:01.480
<v Speaker 8>The thing is like sa else they posted five consecutive

0:34:01.560 --> 0:34:02.640
<v Speaker 8>quarters of safe store sales.

0:34:02.880 --> 0:34:05.480
<v Speaker 2>Line stock has going nowhere during the pandemic.

0:34:05.680 --> 0:34:09.040
<v Speaker 8>Essentially, he's trying like they're trying to overhaul the cafes,

0:34:09.120 --> 0:34:11.240
<v Speaker 8>make them more welcoming, trying different things.

0:34:11.360 --> 0:34:13.600
<v Speaker 4>But I mean I have seen a change. I mean

0:34:13.680 --> 0:34:17.960
<v Speaker 4>they're actually writing on the cups again. Yes, yes, that's

0:34:17.960 --> 0:34:22.320
<v Speaker 4>a big I have a sophisticated analysis there, so you

0:34:22.360 --> 0:34:25.359
<v Speaker 4>know it's not just but people are just the drive

0:34:25.480 --> 0:34:28.640
<v Speaker 4>through line is out the and there's nobody in the store.

0:34:28.840 --> 0:34:31.279
<v Speaker 2>I could tell you they do Costa's ben wall. They're

0:34:31.320 --> 0:34:35.480
<v Speaker 2>not right, exactly where do you go the next one?

0:34:35.560 --> 0:34:37.360
<v Speaker 8>Okay, you're gonna have to help me with this.

0:34:37.480 --> 0:34:37.719
<v Speaker 3>Okay.

0:34:37.960 --> 0:34:39.800
<v Speaker 8>So the NC double A right, they want to expand

0:34:39.880 --> 0:34:42.880
<v Speaker 8>March Madness, but the tournament might not be enough to

0:34:42.920 --> 0:34:44.920
<v Speaker 8>pull in more money by growing it. So they have

0:34:45.000 --> 0:34:48.240
<v Speaker 8>another option on the table, and that is going to booze.

0:34:48.320 --> 0:34:51.840
<v Speaker 8>We're talking beer, wine, alcohol. These are things that the

0:34:51.960 --> 0:34:54.719
<v Speaker 8>NC DOUBLEA has kind of steered away from. But here's

0:34:54.719 --> 0:34:56.480
<v Speaker 8>where it gets a little confusing for me too. But

0:34:56.840 --> 0:35:00.320
<v Speaker 8>the NC double A can't sell those sponsorships themselves, so

0:35:00.440 --> 0:35:03.759
<v Speaker 8>they have to persuade the broadcasters CBS and Turner to

0:35:03.840 --> 0:35:07.000
<v Speaker 8>do it and then increase their own annual payment to

0:35:07.040 --> 0:35:09.920
<v Speaker 8>the NC double A. So it's this weird position that

0:35:10.040 --> 0:35:10.360
<v Speaker 8>they're in.

0:35:10.760 --> 0:35:13.600
<v Speaker 2>So we're going to have I mean, Paul Dricks Budweiser folks. Yeah,

0:35:13.800 --> 0:35:16.520
<v Speaker 2>the seventeen year old new superstar do cass. They have

0:35:16.600 --> 0:35:18.960
<v Speaker 2>a Budweiser and a magic patch.

0:35:20.360 --> 0:35:25.040
<v Speaker 4>So I guess CBS will you know, start taking ads

0:35:25.120 --> 0:35:26.440
<v Speaker 4>for booze and stuff like that they're on.

0:35:27.360 --> 0:35:29.439
<v Speaker 8>It's weird because they're tied to this contract through twenty

0:35:29.560 --> 0:35:32.080
<v Speaker 8>thirty two, you know, fixed payments.

0:35:32.239 --> 0:35:34.880
<v Speaker 4>So but I think they're going to expand the NC DOUBLEA.

0:35:34.960 --> 0:35:36.879
<v Speaker 4>The march men is to like more teams and everything.

0:35:36.960 --> 0:35:38.879
<v Speaker 2>So they're going to go to be on sixty four teams.

0:35:38.960 --> 0:35:40.839
<v Speaker 8>They want to go to seventy six was what they're

0:35:40.880 --> 0:35:41.920
<v Speaker 8>saying from this article.

0:35:41.960 --> 0:35:44.239
<v Speaker 2>But does it, Paul help me here? That doesn't sound

0:35:44.320 --> 0:35:46.560
<v Speaker 2>like a dumb idea. I mean, well it's not. I

0:35:46.600 --> 0:35:50.080
<v Speaker 2>don't know what the right numbers like the NHL or MLB,

0:35:50.520 --> 0:35:53.800
<v Speaker 2>but yeah, just more teams. I mean, I guess, I guess.

0:35:53.960 --> 0:35:56.480
<v Speaker 8>Any more exciting. I don't. I think it kind of

0:35:56.560 --> 0:35:57.440
<v Speaker 8>waters it. I don't know.

0:35:57.560 --> 0:35:59.759
<v Speaker 2>Yeah, I like it at the beginning, am I right? Well,

0:36:00.000 --> 0:36:02.000
<v Speaker 2>I like it at the beginning of the tournament because

0:36:02.040 --> 0:36:04.200
<v Speaker 2>I haven't been thrown out. Right. I never watched a

0:36:04.239 --> 0:36:06.040
<v Speaker 2>final four because I don't know there's nothing in it.

0:36:06.120 --> 0:36:08.320
<v Speaker 4>But that first weekend is what it's all about. You know,

0:36:09.280 --> 0:36:12.160
<v Speaker 4>all the team's playing, and that's what makes March Madness great.

0:36:12.360 --> 0:36:13.799
<v Speaker 2>Lisa, you can be able to get home. We get

0:36:13.880 --> 0:36:16.600
<v Speaker 2>rain tomorrow, rain Thursday.

0:36:17.960 --> 0:36:19.680
<v Speaker 8>I just got to keep checking myself. Pumped.

0:36:19.719 --> 0:36:21.560
<v Speaker 2>I go to the basement and is it still working?

0:36:21.880 --> 0:36:23.359
<v Speaker 8>Kick that thing, make sure it's still going.

0:36:24.320 --> 0:36:26.760
<v Speaker 2>The newspapers thank you so much this morning.

0:36:27.400 --> 0:36:32.200
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