WEBVTT - Equity Push amid Bond Warnings

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

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<v Speaker 2>Time to frame things up, we do that from the

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<v Speaker 2>physicists from Morgan Stanley. James Karen joins us this morning

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<v Speaker 2>on price down, yield up, Jim Karen's CIO process of solutions.

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<v Speaker 2>Morgan Stanley is the bond move over. Jim, do you

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<v Speaker 2>acquire bonds, notes, and bills today looking for a lower

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<v Speaker 2>yield a higher price?

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<v Speaker 3>Good morning, Tom.

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<v Speaker 4>I think currently right now in the markets, I think

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<v Speaker 4>bond yields have entered into a zone where they're probably

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<v Speaker 4>gonna it's probably gonna.

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<v Speaker 3>Be relatively sticky.

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<v Speaker 4>I don't see that inflation is going to come down dramatically,

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<v Speaker 4>at least over the near term. Could there have been

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<v Speaker 4>some you know, stress higher of a release in bond

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<v Speaker 4>yields higher? Yeah, you know that certainly happened. I don't

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<v Speaker 4>think that we're necessarily going to get that either. But

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<v Speaker 4>in order for bond yields to come down, we'd really

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<v Speaker 4>start to need to see the disinflationary pressures of lower

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<v Speaker 4>oil prices. Now today's are going to start, but we'd

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<v Speaker 4>have to stay at these low oil prices, and they'd

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<v Speaker 4>have to even decline further for bond yields to meaningfully

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<v Speaker 4>move down and stay lower.

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<v Speaker 2>Talk to me about the partial differentials, the dynamics of

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<v Speaker 2>equities and bonds wrapped around a conventional sixty forty split.

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<v Speaker 2>Describe those dynamics right now, given the chaos of news

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<v Speaker 2>slow we have.

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<v Speaker 4>Yeah, this is this is probably the most topical thing

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<v Speaker 4>that's out there, at least something I focus on quite

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<v Speaker 4>a bit, because essentially we are in a higher nominal

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<v Speaker 4>growth world with above tar get inflation, which is not

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<v Speaker 4>necessarily bond friendly. So that what that means is that

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<v Speaker 4>if you're using fixed incompassively to hedge your equities, you

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<v Speaker 4>may be disappointed, meaning that we're just not in a

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<v Speaker 4>lower trending world of lower interest rates where bond returns

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<v Speaker 4>just perpetually move higher steadily year after year. So when

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<v Speaker 4>we think about bonds hedging equities today, we have to

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<v Speaker 4>say we have to recognize that the correlation of returns

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<v Speaker 4>between fixed income and equities is as high as it's

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<v Speaker 4>been in the past one hundred and years. What that

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<v Speaker 4>means is that bonds today are not a very good

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<v Speaker 4>hedge to equities if you but if you use your

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<v Speaker 4>bonds efficiently and you think about Carrie, and you think

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<v Speaker 4>about spread, and you think about credit, then you can

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<v Speaker 4>use your bonds as a source of alpha and a

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<v Speaker 4>hedge against your against your equities. So there is a

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<v Speaker 4>place for it, but it's not as traditional as it was.

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<v Speaker 2>And what's great about Jim caaren Folks is all that complexity.

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<v Speaker 2>He actually puts it into English, which is a gift to

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<v Speaker 2>say the least. So if you're not hedging traditionally sixty forty,

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<v Speaker 2>where's your equity hedge?

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<v Speaker 4>So it really becomes a question of how you diversify

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<v Speaker 4>across the equity market. So clearly you want to have

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<v Speaker 4>some growth, you want to have some value. You also

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<v Speaker 4>want to have some high quality and defensives mixed in

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<v Speaker 4>there too. The reality though, is that you can still

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<v Speaker 4>use bonds as a hedge, but you should have less

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<v Speaker 4>than index duration in your bond portfolio. So I think

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<v Speaker 4>I think that most people are making is that they

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<v Speaker 4>say that their neutral allocation of fixed income is just

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<v Speaker 4>to be neutral the index and just to have the

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<v Speaker 4>same duration as the index. I would argue that having

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<v Speaker 4>about a year's less one year less of duration in

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<v Speaker 4>your fixingcome portfolio would do a better job at hedging

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<v Speaker 4>your overall your overall equity exposure.

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<v Speaker 5>Jim latest Offspring is doing his semester broad in Japan.

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<v Speaker 6>So now Japan is all over my social media feed

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<v Speaker 6>for some reason. You like Japan.

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<v Speaker 3>Why do you like Japan? I?

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<v Speaker 4>Yeah, so this is structurally one of our top picks,

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<v Speaker 4>you know, in our in our ascid allocation and in

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<v Speaker 4>our portfolios. So Japan is you know, we've left the

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<v Speaker 4>zero lower bound rate in Japan. Japan has some inflation,

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<v Speaker 4>They have a lot of fiscal stimulus coming through. This

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<v Speaker 4>is a really really big push from not just this administration,

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<v Speaker 4>not just from Takeiichi, but also from previous administrations. So

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<v Speaker 4>this movement towards higher fiscal stimulus, a higher fiscal impulse,

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<v Speaker 4>better corporate governance. Uh, you know, shareholder returns. There's a

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<v Speaker 4>lot more caring about the equity investor.

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<v Speaker 2>Within within Japan.

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<v Speaker 4>That makes it much more viable for investors, and Japanese

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<v Speaker 4>equities have done extremely well over the past few years.

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<v Speaker 2>Now.

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<v Speaker 4>The issue with Japan though, in your portfolio, and everybody

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<v Speaker 4>needs to take note of this, is that it is

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<v Speaker 4>a very volatile market. It a five percent move in

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<v Speaker 4>Japan and Japanese equities and why day is not a

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<v Speaker 4>big deal.

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<v Speaker 3>I mean that happens quite a bit.

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<v Speaker 4>So you have to right side in your portfolio. So

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<v Speaker 4>it's a good investment, but you have to have the

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<v Speaker 4>right size and be mindful of that and be mindful

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<v Speaker 4>of that volatility.

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<v Speaker 5>All right, I'll go with you in Japan, but I

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<v Speaker 5>was there. I lived there in eighty seven eighty eight.

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<v Speaker 5>Then you couldn't buy.

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<v Speaker 6>A story on Japan for the next thirty years. But

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<v Speaker 6>I guess it's back.

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<v Speaker 3>How about Europe.

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<v Speaker 5>Europe seems to be filling the brunt tier of some

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<v Speaker 5>of the disruption we're seeing coming out of Iran.

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<v Speaker 6>With just raw materials. What's the thought there in Europe?

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<v Speaker 4>Yeah, so from our perspective, we are underweight Europe. We're

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<v Speaker 4>more cautious. And the reason is is, as you mentioned,

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<v Speaker 4>higher energy prices, some fiscal strains that are coming through

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<v Speaker 4>on the European side. I think it's going to be

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<v Speaker 4>a head win. So I mean, just look at the

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<v Speaker 4>FED versus the ECB. The ECB is very aggressive about

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<v Speaker 4>telling you that they're probably going to high grates in June,

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<v Speaker 4>whereas the FED is more likely to be on hold

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<v Speaker 4>for an extended period of time.

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<v Speaker 3>So there were just elements here.

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<v Speaker 4>And the reason is is because inflation cuts deeper in

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<v Speaker 4>Europe than it does actually in the US. And the

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<v Speaker 4>reason for that is because European economies are more structurally

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<v Speaker 4>rigid and they can't necessarily adjust to inflation very well.

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<v Speaker 4>In fact, the investor class in Europe is mainly a

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<v Speaker 4>fixed income investor class, whereas the investor class US is

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<v Speaker 4>mainly in equity investor class. So higher inflation, we all

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<v Speaker 4>know what that does to bond returns, so that in

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<v Speaker 4>terms of your wealth effect, you know, it can be

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<v Speaker 4>much more detrimental in Europe than in the US. So

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<v Speaker 4>a lot of the fiscal stimulus that was supposed to

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<v Speaker 4>be coming through in Europe is now really becoming more

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<v Speaker 4>support to try to you know, hold up the you know,

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<v Speaker 4>to hold up the broader economy. So we are a

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<v Speaker 4>little bit more cautious. We're not abandoning Europe. I mean,

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<v Speaker 4>we still think that there's a lot of positives, but

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<v Speaker 4>for right now we think that the investments better in

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<v Speaker 4>the US in Japan.

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<v Speaker 2>Shoe Karen, thank you so much. Always with Margen Stanley

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<v Speaker 2>and investment.

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<v Speaker 3>Stay with us.

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<v Speaker 2>More from Bloomberg Surveillance coming up after this.

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

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<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

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<v Speaker 2>And well, what's great about this is Windin and I

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<v Speaker 2>haven't had a driver's license since time began, like teen

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<v Speaker 2>years ago. He's Chief Economists Bank of nwsaw Windin this

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<v Speaker 2>morning as well. When the financial stability of the EMS system,

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<v Speaker 2>it's like a Bill Lee question when he was, you know,

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<v Speaker 2>at milking. You know, what does the financial system EM

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<v Speaker 2>look given the shocks of this war.

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<v Speaker 7>Well, you have so have and have nots as always right,

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<v Speaker 7>So the the first of all again, thanks for having me.

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<v Speaker 7>It's voice a pleasure to be with you guys. The

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<v Speaker 7>energie exports are doing okay. The energy importers and sort

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<v Speaker 7>of the frontier countries are not. So it's we have

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<v Speaker 7>to go back to how this oil shock, how much

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<v Speaker 7>longer it lasts.

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<v Speaker 3>We'll see how this rolls out.

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<v Speaker 7>I think I've talked about some million times, but I

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<v Speaker 7>think we are in what the IMF calls the adverse scenario,

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<v Speaker 7>and that's when things get.

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<v Speaker 3>A little dice.

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<v Speaker 7>You get slower global growth, higher inflation, merging markets or

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<v Speaker 7>some You have Columbia, Sri Lanka, Pakistan and Philippine central

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<v Speaker 7>banks already high rates to defend the currencies and to

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<v Speaker 7>sort of tamp down inflation. So it's going to be

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<v Speaker 7>a i'd say stressful time ahead. I don't see any big,

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<v Speaker 7>huge blow ups, but it's going to be very challenging

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<v Speaker 7>for merging markets.

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<v Speaker 5>I think it's gonna be pretty challenging for our new

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<v Speaker 5>FED chairman, mister Walsh. I mean, coming in presumably he's

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<v Speaker 5>got feel some pressure to lower rates, yet the data

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<v Speaker 5>doesn't seem to support that at all.

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<v Speaker 7>No, it's you're absolutely right, Paul. He's inheriting a very

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<v Speaker 7>different situation than he saw I think six months even

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<v Speaker 7>three months ago. So he's one of twelve people on FMC.

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<v Speaker 7>His job is chairs to cajole and to discuss and corral.

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<v Speaker 3>But there is a huge.

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<v Speaker 7>Contingent of hawks right now on the FED. So I

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<v Speaker 7>think right now, well, it's the Fed is on hole

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<v Speaker 7>for the foreseeable future until these rates the inflation comes down.

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<v Speaker 7>But the market's pricing fifty base points of tightening over

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<v Speaker 7>the next twelve months, which seems litt aggressive.

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<v Speaker 3>But let's see how the data comes on.

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<v Speaker 6>How sticky do you think this inflation is going to be?

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<v Speaker 5>Is if like if we have some agreement today, which

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<v Speaker 5>could certainly happen given the actors here.

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<v Speaker 3>Oil comes back down? Is that it?

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<v Speaker 6>Or do we have something underneath that.

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<v Speaker 3>I do feel there's some lingering effects.

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<v Speaker 7>I think if you listen to the oil industry experts,

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<v Speaker 7>you know, the sort of normal production isn't really going

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<v Speaker 7>to come back in the Gulf for any three to

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<v Speaker 7>six months, may even longer. We're talking about all the

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<v Speaker 7>backlogs as well as the destruction of the infrastructure there, so.

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<v Speaker 3>It's going to take a while.

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<v Speaker 7>And obviously oil prices have a huge had a huge

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<v Speaker 7>risk premium, and that's what's coming down.

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<v Speaker 3>We don't I don't think anyone has a feel be.

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<v Speaker 7>Where the sort of the fair value is given all

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<v Speaker 7>the destruction we've seen in the oil sector.

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<v Speaker 3>It's a risk.

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<v Speaker 5>Yeah, I don't know, we say that, but this is

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<v Speaker 5>US consumer. You cannot keep this consumer down.

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<v Speaker 6>What do you make of the US consumer?

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<v Speaker 3>So I'm starting to see some cracks.

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<v Speaker 7>If you look at the real numbers, you know, the

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<v Speaker 7>nominal numbers look great because if you look at the

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<v Speaker 7>retail sales, the personal spending, the headlines are all nominal.

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<v Speaker 7>So remember we're in a high inflation environment. If you

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<v Speaker 7>can dig deeper the real it's the real spending, the

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<v Speaker 7>real consumptions. A little bit on the soft side, we'll

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<v Speaker 7>get personal spending, real personal spending this Thursday, along with

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<v Speaker 7>the PCE. I think it's I think it's gonna show

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<v Speaker 7>the dilemma that the phase we're in high inflation, sort

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<v Speaker 7>of slow in growth environment. That's that's always sort of

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<v Speaker 7>the challenge for for policymakers around the world, the sort

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<v Speaker 7>of stackflationary environment. There's no easy answer.

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<v Speaker 6>How long does stagflation last?

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<v Speaker 3>Typically well so, and it seems like you could.

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<v Speaker 6>Bump along that road for a while.

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<v Speaker 7>Yeah, so there's a lot of in some ways, there's

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<v Speaker 7>some parallels obviously the seventies and a lot, but really

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<v Speaker 7>the main thing right now is that the US is

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<v Speaker 7>in a world exporter, so that's the one thing I

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<v Speaker 7>really has cushioned us. But physically, you know, we got

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<v Speaker 7>back to what you said, the consumer seventy percent of

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<v Speaker 7>the US economy, and we're getting squeezed by high grass prices,

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<v Speaker 7>high energy prices, high food prices.

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<v Speaker 3>The lamrockets stabilizing.

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<v Speaker 7>But I don't think it was out the breaking the

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<v Speaker 7>Champagne open. You know. I know that this graduating college

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<v Speaker 7>class had a really tough time. So I see some

0:11:20.840 --> 0:11:25.360
<v Speaker 7>signs of nervousness within the consumer, and it's again to

0:11:25.400 --> 0:11:25.960
<v Speaker 7>be determined.

0:11:26.240 --> 0:11:29.319
<v Speaker 2>I haven't written on this yet, folks, because it's too difficult,

0:11:29.400 --> 0:11:32.040
<v Speaker 2>and also I got to find his magnificant speech. Let's

0:11:32.080 --> 0:11:36.040
<v Speaker 2>do it for the first time with Winthin of Columbia University.

0:11:36.480 --> 0:11:41.800
<v Speaker 2>We've lost Ned Phelps, ninety two years old, a giant, argumentative,

0:11:41.880 --> 0:11:46.200
<v Speaker 2>giant of economics. I loved what Olivier Blanchard said. He said,

0:11:46.200 --> 0:11:50.280
<v Speaker 2>we didn't agree. Basically to paraphrase, Professor Blanchard said, Ned

0:11:50.320 --> 0:11:52.840
<v Speaker 2>and I didn't agree. And if the sun came up

0:11:52.840 --> 0:11:55.800
<v Speaker 2>in the ease, but there it was. I want you

0:11:55.880 --> 0:12:01.400
<v Speaker 2>to define his work on dynamism in this time of AI.

0:12:02.280 --> 0:12:05.640
<v Speaker 7>Well, Unfortunately I did not have the pleasure of having

0:12:05.640 --> 0:12:07.440
<v Speaker 7>any classes with him, but he was there during my

0:12:07.480 --> 0:12:10.520
<v Speaker 7>time when we had quite a few giants there that

0:12:10.600 --> 0:12:12.880
<v Speaker 7>are unfortunate rest in peace there many are gone. Now

0:12:13.000 --> 0:12:16.640
<v Speaker 7>that sort of tells you how old I am. But

0:12:16.640 --> 0:12:20.800
<v Speaker 7>but you know, the Columbia University was a real incubator

0:12:20.800 --> 0:12:24.000
<v Speaker 7>for just just great growth. I think a lot of

0:12:24.000 --> 0:12:26.280
<v Speaker 7>the sort of the neoclassical and classic comments would have

0:12:26.320 --> 0:12:29.440
<v Speaker 7>a hard time, uh, trying to figure what's going on

0:12:29.480 --> 0:12:31.920
<v Speaker 7>in AI. I mean, obviously there's a whole boost to

0:12:32.000 --> 0:12:34.440
<v Speaker 7>labor productivity that's great for the economy.

0:12:34.440 --> 0:12:35.120
<v Speaker 3>But you know, Paul and I.

0:12:35.120 --> 0:12:39.560
<v Speaker 7>Always discussed this, what does this mean for labored overall?

0:12:40.080 --> 0:12:42.760
<v Speaker 7>Is this going to be a net job creator or

0:12:42.800 --> 0:12:46.360
<v Speaker 7>not a net job destroyer. I don't think we've seen

0:12:46.400 --> 0:12:48.480
<v Speaker 7>this sort of technological innovation.

0:12:48.040 --> 0:12:49.640
<v Speaker 3>Over in this short period of time.

0:12:50.720 --> 0:12:53.360
<v Speaker 7>So I think be great right now to be a

0:12:53.360 --> 0:12:56.240
<v Speaker 7>PhD student. There's so much to write about in terms

0:12:56.280 --> 0:13:01.280
<v Speaker 7>of the impact of AI on productivity, labor demand, favorite destruction.

0:13:01.559 --> 0:13:04.520
<v Speaker 2>But but to go to el Arian, the unknown unknown

0:13:04.679 --> 0:13:07.839
<v Speaker 2>is real, that's right, I mean it's hugely real.

0:13:08.000 --> 0:13:10.800
<v Speaker 7>Yeah, you know, that's way about my pay grad I

0:13:10.840 --> 0:13:13.679
<v Speaker 7>do know that right now we're benefiting this huge investment

0:13:13.679 --> 0:13:18.000
<v Speaker 7>in all the infrastructure. We're finally seeing some payoffs. But

0:13:18.679 --> 0:13:21.640
<v Speaker 7>you know what, who if all these people are being

0:13:22.040 --> 0:13:23.920
<v Speaker 7>being proud of work, who's going to buy these goods?

0:13:23.920 --> 0:13:25.439
<v Speaker 3>Who's going to buy Who's in consume?

0:13:25.720 --> 0:13:26.880
<v Speaker 2>And that's what Paul says.

0:13:27.200 --> 0:13:28.000
<v Speaker 3>I'm a Paul on this.

0:13:28.080 --> 0:13:30.040
<v Speaker 7>I'm I'm gonna be a bit pessimistic, but you know,

0:13:30.080 --> 0:13:32.360
<v Speaker 7>I'm you know, someone's being a lud eyed.

0:13:32.800 --> 0:13:34.920
<v Speaker 2>The bank, the Bank of Nassa went in there.

0:13:35.080 --> 0:13:36.000
<v Speaker 3>Stay with us.

0:13:36.040 --> 0:13:39.280
<v Speaker 2>More from Bloomberg Surveillance coming up after this.

0:13:46.520 --> 0:13:50.120
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

0:13:50.160 --> 0:13:53.160
<v Speaker 1>weekday afternoons from seven to ten a m. Eastern Listen

0:13:53.240 --> 0:13:56.800
<v Speaker 1>on Apple, Karplay and Android Atto with the Bloomberg Business app,

0:13:57.000 --> 0:13:58.720
<v Speaker 1>or watch us live on YouTube.

0:13:58.960 --> 0:14:04.000
<v Speaker 2>We're gonna go QUI, how about commodity analysis from another

0:14:04.120 --> 0:14:06.200
<v Speaker 2>time in place we can do that with are going

0:14:06.240 --> 0:14:10.160
<v Speaker 2>to work in a city group VP of researching commodities

0:14:10.160 --> 0:14:13.880
<v Speaker 2>and actually looking for trends and commodities in the last

0:14:13.920 --> 0:14:19.760
<v Speaker 2>six months, which commodity has trended, appropriately trended in order

0:14:19.880 --> 0:14:20.560
<v Speaker 2>in a good way.

0:14:21.600 --> 0:14:24.880
<v Speaker 8>Well in the act sector and the one to look at.

0:14:25.640 --> 0:14:28.160
<v Speaker 8>All of them are starting to trend in a proper way,

0:14:28.200 --> 0:14:31.000
<v Speaker 8>and it's all kind of been in the sort of

0:14:31.080 --> 0:14:34.640
<v Speaker 8>low price environment from which they were coming out as

0:14:34.800 --> 0:14:39.560
<v Speaker 8>we started learning more about the conflict, the disruption in

0:14:39.640 --> 0:14:41.720
<v Speaker 8>the strait of hormones and how long will it take?

0:14:42.640 --> 0:14:48.160
<v Speaker 8>So I would say corn wheat, soybeans on the grain side.

0:14:48.320 --> 0:14:53.720
<v Speaker 8>As we say that, fertilizer impact being the most relevant

0:14:53.200 --> 0:14:55.000
<v Speaker 8>for those type of commodities.

0:14:55.080 --> 0:14:57.200
<v Speaker 2>Robs Carolyn just emailed and he wants to know about

0:14:57.240 --> 0:15:00.880
<v Speaker 2>Aldino in the drought is a drought based moving prices

0:15:00.960 --> 0:15:02.800
<v Speaker 2>rot Paul ready for this.

0:15:02.920 --> 0:15:05.640
<v Speaker 3>Yeah, go in the softs, softs, that's how we do

0:15:05.640 --> 0:15:06.120
<v Speaker 3>it well.

0:15:06.240 --> 0:15:10.000
<v Speaker 8>Al Nina is another risk that developed in the last

0:15:10.120 --> 0:15:14.680
<v Speaker 8>two months or three months where meteorologic agency started to

0:15:14.840 --> 0:15:19.120
<v Speaker 8>be very confident about this coming in the next month

0:15:19.920 --> 0:15:22.880
<v Speaker 8>and then getting gaining some strength over the period of

0:15:22.880 --> 0:15:28.720
<v Speaker 8>the next six months. Some meteorologic agencies are expecting very

0:15:28.720 --> 0:15:32.120
<v Speaker 8>strong or record Almina and El Nina. Just to clarify,

0:15:32.360 --> 0:15:37.320
<v Speaker 8>it's the level of sea surface in the Pacific Ocean,

0:15:37.600 --> 0:15:40.680
<v Speaker 8>the degree of it, and whenever it reaches to two degrees,

0:15:41.080 --> 0:15:43.560
<v Speaker 8>that's where we kind of say that there is an

0:15:43.560 --> 0:15:45.880
<v Speaker 8>al Nina, and if there's deviation, if there's more than

0:15:45.960 --> 0:15:49.440
<v Speaker 8>two degree warming happening in the Pacific Ocean, then that

0:15:49.680 --> 0:15:53.040
<v Speaker 8>will characterize it as a strong Alminia. Now, what al

0:15:53.120 --> 0:15:57.160
<v Speaker 8>Nina brings with it is this abnormal weather patterns. Abnormal

0:15:57.200 --> 0:16:01.760
<v Speaker 8>weather patterns across the globe where you can see drought

0:16:01.960 --> 0:16:07.080
<v Speaker 8>in the in the India, around India, around Southeast Asia, Australia,

0:16:07.480 --> 0:16:10.160
<v Speaker 8>and you typically see some sort of high level of

0:16:10.160 --> 0:16:15.600
<v Speaker 8>precipitation in South America, in Brazil and Columbia in those countries.

0:16:16.120 --> 0:16:21.360
<v Speaker 8>So the bottom line because software very much concentrated around

0:16:21.560 --> 0:16:25.800
<v Speaker 8>the production of softs are very much concentrated around the equator, right,

0:16:26.000 --> 0:16:30.600
<v Speaker 8>and they would have kind of this bigger impact on

0:16:30.640 --> 0:16:34.680
<v Speaker 8>the yields coming from this strong or moderate on Ninia.

0:16:35.200 --> 0:16:39.280
<v Speaker 8>It's really early to tell what how how how strong

0:16:39.360 --> 0:16:42.800
<v Speaker 8>this is significant the sweat pattern would be, but as

0:16:42.800 --> 0:16:45.960
<v Speaker 8>it's developing, but from we know what we know now.

0:16:46.000 --> 0:16:49.800
<v Speaker 8>The factual data is that the temperature in the Pacific

0:16:49.800 --> 0:16:52.960
<v Speaker 8>Ocean is the warmest at the moment when we compare

0:16:52.960 --> 0:16:56.600
<v Speaker 8>it with any observable history historical port in the past,

0:16:57.560 --> 0:17:01.040
<v Speaker 8>at this at this moment. So that probably tells us

0:17:01.080 --> 0:17:04.639
<v Speaker 8>that there's a relatively high probability and likelihood that this

0:17:04.800 --> 0:17:09.160
<v Speaker 8>system will develop over the summer months and going forward.

0:17:09.200 --> 0:17:10.679
<v Speaker 3>A look at some of the eggs here.

0:17:10.720 --> 0:17:13.920
<v Speaker 5>I can do that my GLCO screen, the Global Commodity screen,

0:17:13.960 --> 0:17:14.520
<v Speaker 5>it's my savior.

0:17:14.560 --> 0:17:15.679
<v Speaker 6>It's the only thing I know about commodity.

0:17:15.800 --> 0:17:18.720
<v Speaker 5>I soweteans up fifteen percent year to date. I got

0:17:18.720 --> 0:17:22.520
<v Speaker 5>weed up twenty three percent, cottons up eighteen percent, Sugar

0:17:22.840 --> 0:17:23.800
<v Speaker 5>down five percent.

0:17:23.960 --> 0:17:24.919
<v Speaker 6>What's going on with sugar?

0:17:25.640 --> 0:17:28.200
<v Speaker 8>Yeah, and we think that's the lagger in this case.

0:17:28.240 --> 0:17:29.360
<v Speaker 3>I think sugar.

0:17:29.800 --> 0:17:34.639
<v Speaker 8>There is a lot of news and expectations about the

0:17:34.680 --> 0:17:37.200
<v Speaker 8>crop and sugar, especially.

0:17:38.320 --> 0:17:38.800
<v Speaker 3>In Brazil.

0:17:38.840 --> 0:17:43.000
<v Speaker 8>Brazil is the largest producer, marginal producer. About two thirds

0:17:43.000 --> 0:17:46.119
<v Speaker 8>of what Brazil produces is being exported. The second biggest

0:17:46.119 --> 0:17:50.640
<v Speaker 8>producer is India. However, in India about everything that's being

0:17:50.680 --> 0:17:54.920
<v Speaker 8>produced in India is being consumed domestically. Whenever there is

0:17:54.960 --> 0:17:58.560
<v Speaker 8>a bumper crop, that's where India gets into the market

0:17:58.680 --> 0:18:02.480
<v Speaker 8>starts exporting. The risk there is that in the last

0:18:02.520 --> 0:18:05.480
<v Speaker 8>strong on Nino, which was in twenty fifteen twenty sixteen,

0:18:06.400 --> 0:18:10.439
<v Speaker 8>production in India fell by about thirty percent, and India

0:18:10.520 --> 0:18:14.760
<v Speaker 8>came into the market aggressively importing sugar and that kind

0:18:14.840 --> 0:18:15.760
<v Speaker 8>of spiked the preceures.

0:18:16.200 --> 0:18:17.879
<v Speaker 2>Just a minute here, I'm going to take a chance

0:18:18.400 --> 0:18:22.120
<v Speaker 2>from your Armenia, Georgia down to Armenia over to Azerbaijan.

0:18:22.720 --> 0:18:26.399
<v Speaker 2>I think Americans are clueless about the importance of the

0:18:26.440 --> 0:18:31.159
<v Speaker 2>Caspian Sea. We're absolutely clueless about it. It means I

0:18:31.200 --> 0:18:33.400
<v Speaker 2>think it's a lake wall I don't know, but it's

0:18:33.400 --> 0:18:38.080
<v Speaker 2>not like lake your ear. It's it's like ginormous tell

0:18:38.160 --> 0:18:41.280
<v Speaker 2>us the importance of the Caspian Sea to the eastern

0:18:41.320 --> 0:18:43.800
<v Speaker 2>Mediterranean and the stand nations.

0:18:44.160 --> 0:18:47.080
<v Speaker 8>Well, it's a little bit of seguey, but yes, Caspian

0:18:47.119 --> 0:18:48.000
<v Speaker 8>Sea is very important.

0:18:48.359 --> 0:18:51.360
<v Speaker 3>Yeah, we call them sui for.

0:18:51.600 --> 0:18:54.880
<v Speaker 8>It's it's very much relevant, but more for the energy complex.

0:18:56.200 --> 0:19:00.399
<v Speaker 8>And part of my research agenda that I look is

0:19:00.680 --> 0:19:04.000
<v Speaker 8>we're going in the segways. I look at the uranium

0:19:04.359 --> 0:19:07.480
<v Speaker 8>and Kazakhstan is the biggest producer of uranium.

0:19:07.800 --> 0:19:10.040
<v Speaker 3>And over the last.

0:19:09.880 --> 0:19:13.719
<v Speaker 8>Four years, since twenty twenty two, really the development of

0:19:13.760 --> 0:19:17.440
<v Speaker 8>the trans Caspian kind of route has developed as an

0:19:17.440 --> 0:19:23.199
<v Speaker 8>alternative root rather than exporting uranium through Russia as typically

0:19:23.240 --> 0:19:27.439
<v Speaker 8>Kazakstan would do that. But as Aerba, John is a

0:19:27.440 --> 0:19:31.200
<v Speaker 8>big oil and gas producer, and so the Caspian importance

0:19:31.280 --> 0:19:33.439
<v Speaker 8>is there and it kind of connects.

0:19:33.480 --> 0:19:35.119
<v Speaker 2>Yeah, I can just see you in a meeting with

0:19:35.200 --> 0:19:39.200
<v Speaker 2>Jane Fraser. He starts sting in the Caspian uranium. She's

0:19:39.240 --> 0:19:43.840
<v Speaker 2>taken notes. This has been wonderful. This is like old school.

0:19:44.080 --> 0:19:44.879
<v Speaker 2>I mean, I'm loving it.

0:19:44.880 --> 0:19:45.199
<v Speaker 7>I love it.

0:19:45.320 --> 0:19:48.840
<v Speaker 2>This has been great, Arkady, Thank you so much, Arcady Gevorkian.

0:19:48.960 --> 0:19:51.840
<v Speaker 2>He's with City Group. That was absolutely brilliant to stay

0:19:51.880 --> 0:19:55.720
<v Speaker 2>with us. More from Bloomberg Surveillance coming up after this.

0:20:03.000 --> 0:20:06.560
<v Speaker 1>You're listening to the Bloomberg Surveillance podcast. Catch us live

0:20:06.640 --> 0:20:09.800
<v Speaker 1>weekday afternoons from seven to ten am Eastern Listen on

0:20:09.880 --> 0:20:13.560
<v Speaker 1>Applecarplay and Android Auto with the Bloomberg Business app, or

0:20:13.680 --> 0:20:26.360
<v Speaker 1>watch us live on YouTube.

0:20:27.080 --> 0:20:29.520
<v Speaker 2>What a wonderful time quickly, or Carol Striker with us

0:20:29.840 --> 0:20:34.520
<v Speaker 2>with KPMG Deal Advisory Strategy Service at Leader. Call it

0:20:34.600 --> 0:20:38.280
<v Speaker 2>the exuberance out there right now. What is the character

0:20:38.480 --> 0:20:41.160
<v Speaker 2>of exuberance the KPMGCS.

0:20:41.600 --> 0:20:45.200
<v Speaker 9>Yeah, I mean from an exciting perspective around deals and

0:20:45.320 --> 0:20:48.639
<v Speaker 9>just the pent up demand for deals. There is a

0:20:48.680 --> 0:20:54.200
<v Speaker 9>private equity space. There are thirty three thousand portfolio companies

0:20:54.240 --> 0:20:58.000
<v Speaker 9>that are wanting to trade over three trillion dollars in

0:20:58.800 --> 0:21:03.639
<v Speaker 9>those assets, and so there is a demand to be

0:21:03.760 --> 0:21:05.520
<v Speaker 9>trading within the private equity space.

0:21:05.800 --> 0:21:07.840
<v Speaker 5>So this year, I mean, we're going to get some

0:21:08.000 --> 0:21:11.880
<v Speaker 5>mega mega IPOs in the marketplace SpaceX and maybe we'll

0:21:11.880 --> 0:21:13.080
<v Speaker 5>get some AI deals.

0:21:13.720 --> 0:21:15.120
<v Speaker 6>How about the other stuff.

0:21:14.800 --> 0:21:18.879
<v Speaker 5>That's just in the PE portfolios that I've had a

0:21:18.920 --> 0:21:20.800
<v Speaker 5>tough time over the last four or five six years

0:21:21.200 --> 0:21:23.840
<v Speaker 5>getting liquidity. I mean, if I see another PE firm

0:21:23.880 --> 0:21:27.000
<v Speaker 5>sell at portfolio company to another PE firm, I'm going

0:21:27.040 --> 0:21:29.919
<v Speaker 5>to scream. I mean, that's like, that's the weakest exit

0:21:29.960 --> 0:21:31.240
<v Speaker 5>you can ever have in my opinion.

0:21:31.320 --> 0:21:33.080
<v Speaker 9>Well, it's interesting that you say that. So if you

0:21:33.119 --> 0:21:36.760
<v Speaker 9>look at the data over this last quarter and the

0:21:36.840 --> 0:21:40.640
<v Speaker 9>quarters before, the sponsored sponsor activity is actually significantly down

0:21:40.640 --> 0:21:42.800
<v Speaker 9>from where it was. And if you look at the

0:21:42.840 --> 0:21:46.960
<v Speaker 9>last quarter, a majority of the deals have been private

0:21:47.000 --> 0:21:50.639
<v Speaker 9>equity selling to corporates and corporate seeing the strategic nature

0:21:50.640 --> 0:21:55.119
<v Speaker 9>of being able to bring those companies into their their

0:21:55.119 --> 0:21:56.919
<v Speaker 9>portfolio and have strategies.

0:21:57.000 --> 0:21:58.639
<v Speaker 2>Paul, I got to go here. I mean, I just

0:21:58.640 --> 0:22:02.040
<v Speaker 2>got to impress everybody a nation. You have a bullet

0:22:02.040 --> 0:22:06.800
<v Speaker 2>point paragraph on your use of Claude at KPMG. You

0:22:06.840 --> 0:22:10.600
<v Speaker 2>guys are out front on this the uproar this weekend

0:22:10.600 --> 0:22:14.320
<v Speaker 2>that Microsoft's cutting Claude back because everybody's using it, it's

0:22:14.400 --> 0:22:17.640
<v Speaker 2>costing a fortune. Are you observing that at KPMG.

0:22:18.080 --> 0:22:20.480
<v Speaker 9>Well, I'm glad you asked. One of the things that

0:22:20.520 --> 0:22:23.720
<v Speaker 9>we're really excited about is we just announced a partnership,

0:22:23.720 --> 0:22:27.639
<v Speaker 9>a strategic partnership with Anthropic and Claude, and so we

0:22:27.680 --> 0:22:29.680
<v Speaker 9>are absolutely leaning in.

0:22:29.960 --> 0:22:35.040
<v Speaker 2>What you observing on token use in OMG. We're spending

0:22:35.080 --> 0:22:35.800
<v Speaker 2>a lot of money.

0:22:35.880 --> 0:22:38.119
<v Speaker 9>Yeah, I mean, don't get me wrong. The world that

0:22:38.160 --> 0:22:40.560
<v Speaker 9>we're moving to is not going to be a world

0:22:40.600 --> 0:22:43.120
<v Speaker 9>that's not having that token use, and so we are

0:22:43.160 --> 0:22:46.800
<v Speaker 9>experiencing it as clients zero around increase in token use

0:22:46.880 --> 0:22:49.720
<v Speaker 9>this last quarter. But we're also you know, hearing it

0:22:49.720 --> 0:22:52.080
<v Speaker 9>from our clients in regards to their concerns around the

0:22:52.119 --> 0:22:54.680
<v Speaker 9>cost that the token usage is going to have. That's

0:22:54.720 --> 0:22:56.639
<v Speaker 9>going to figure itself out over the mist.

0:22:56.560 --> 0:22:59.440
<v Speaker 2>I agree, it's going to just figures. That's a nice one.

0:22:59.480 --> 0:23:03.280
<v Speaker 2>That's University of Chicago to figure itself out.

0:23:03.480 --> 0:23:06.159
<v Speaker 5>So what are your companies, like when you look for

0:23:07.160 --> 0:23:10.240
<v Speaker 5>in the advisory side of the business to get liquidity

0:23:10.240 --> 0:23:13.000
<v Speaker 5>in some of your client's portfolios, they have to have

0:23:13.040 --> 0:23:15.239
<v Speaker 5>confidence in the economy, they have to have confidence in,

0:23:15.760 --> 0:23:18.720
<v Speaker 5>you know, the overall geopolitical situation.

0:23:20.000 --> 0:23:22.000
<v Speaker 3>There's not a lot of that out there exactly.

0:23:22.119 --> 0:23:23.680
<v Speaker 5>So what are they saying in terms of we want

0:23:23.680 --> 0:23:25.280
<v Speaker 5>to buy or we want to sell?

0:23:25.400 --> 0:23:26.000
<v Speaker 6>What are they doing?

0:23:26.119 --> 0:23:28.800
<v Speaker 9>Yeah, absolutely so. I think there's two things. I'd say.

0:23:28.800 --> 0:23:31.800
<v Speaker 9>First is volatilities in New norm and our clients get

0:23:31.840 --> 0:23:34.239
<v Speaker 9>that and they have been working through volatility. But when

0:23:34.280 --> 0:23:36.680
<v Speaker 9>there's shockwaves to the system, it's a little bit harder

0:23:36.720 --> 0:23:38.919
<v Speaker 9>for them to transact. And so when we saw the

0:23:38.960 --> 0:23:41.600
<v Speaker 9>first part of the year January coming out real strong,

0:23:42.040 --> 0:23:45.560
<v Speaker 9>then the war broke out and it came to a stop.

0:23:45.840 --> 0:23:48.159
<v Speaker 9>But within several weeks we saw in our business and

0:23:48.160 --> 0:23:50.639
<v Speaker 9>with our clients is that they really want to transact

0:23:50.640 --> 0:23:53.479
<v Speaker 9>and the deal market started to pick back up pretty quickly.

0:23:53.560 --> 0:23:57.680
<v Speaker 2>With your relationship with Claude, is it generational? The young

0:23:57.800 --> 0:24:00.840
<v Speaker 2>Turks are learning Claude over the week in and the

0:24:00.880 --> 0:24:02.879
<v Speaker 2>fossils are like over my dead body.

0:24:06.240 --> 0:24:09.919
<v Speaker 9>What I would say is that the younger generation is

0:24:10.000 --> 0:24:14.040
<v Speaker 9>definitely leaning in more than the older generation. But that

0:24:14.160 --> 0:24:15.760
<v Speaker 9>being said, we've got a lot of people who are

0:24:15.800 --> 0:24:18.080
<v Speaker 9>leaning in the and the older genera.

0:24:18.320 --> 0:24:22.000
<v Speaker 2>An example, what KPMG uses Claude for besides.

0:24:21.640 --> 0:24:27.800
<v Speaker 9>The summer party, we use Claude for and a lot

0:24:27.800 --> 0:24:30.119
<v Speaker 9>of the different AI. But with Claude we use it

0:24:30.160 --> 0:24:32.840
<v Speaker 9>for a ton of analysis with our clients to help

0:24:32.880 --> 0:24:36.760
<v Speaker 9>them improve their operations. So for example, if we're talking

0:24:36.800 --> 0:24:38.040
<v Speaker 9>to them around.

0:24:39.280 --> 0:24:41.680
<v Speaker 2>You've got a plast six manufacturer in Toledo.

0:24:42.160 --> 0:24:46.040
<v Speaker 9>Yeah, Pardi help them thinking through their production, thinking through

0:24:46.080 --> 0:24:50.080
<v Speaker 9>their distribution, thinking through their vendors. It can be helping

0:24:50.119 --> 0:24:54.920
<v Speaker 9>them through collecting AR and receivables faster. So there's multiple

0:24:55.040 --> 0:24:59.800
<v Speaker 9>use cases around how we're using information, taking data from

0:24:59.800 --> 0:25:03.960
<v Speaker 9>all different types of sources. There's internal, external, and using

0:25:04.000 --> 0:25:06.400
<v Speaker 9>claud to understand what can help to optimize.

0:25:06.480 --> 0:25:08.360
<v Speaker 2>I'm going to ask you get back to the key

0:25:08.440 --> 0:25:11.119
<v Speaker 2>question to the zeitgeist right now, which is who's going

0:25:11.160 --> 0:25:13.600
<v Speaker 2>to pay for all this? You say token pricing will

0:25:13.600 --> 0:25:18.399
<v Speaker 2>work its way out just within an open hyachin system,

0:25:18.480 --> 0:25:20.800
<v Speaker 2>or is there going to be a regulator or is

0:25:20.840 --> 0:25:23.480
<v Speaker 2>there going to be a price dominant user like Microsoft

0:25:23.560 --> 0:25:25.560
<v Speaker 2>or Anthropic that can say no, this is what we're

0:25:25.560 --> 0:25:27.359
<v Speaker 2>going to do. How do you envision that?

0:25:28.119 --> 0:25:30.520
<v Speaker 9>I mean, I go back to just like you said,

0:25:30.600 --> 0:25:34.720
<v Speaker 9>University of Chicago. Right, is the market basic price theory? Yeah,

0:25:34.720 --> 0:25:36.760
<v Speaker 9>I mean this is going to work its way out

0:25:36.840 --> 0:25:39.360
<v Speaker 9>in the long term. In the short term, it's it's

0:25:39.400 --> 0:25:42.879
<v Speaker 9>something that everybody's focused in on and figuring out what's

0:25:42.920 --> 0:25:46.040
<v Speaker 9>what's the right for their business, the right usage.

0:25:46.160 --> 0:25:48.320
<v Speaker 2>Can you come back tomorrow because I learned a lot

0:25:48.359 --> 0:25:49.080
<v Speaker 2>about Claude.

0:25:49.160 --> 0:25:51.120
<v Speaker 6>I know, I know every day.

0:25:52.080 --> 0:25:54.359
<v Speaker 2>It's all brand new. It's like a whole new world.

0:25:54.520 --> 0:25:58.639
<v Speaker 2>Fl Carol, thank you, it's brilliant. Don't be a strange.

0:25:58.680 --> 0:26:05.399
<v Speaker 3>Are you based in New York Chicago? Yeah? Okay, Cubs Cubs.

0:26:05.040 --> 0:26:08.800
<v Speaker 9>But I mean seriously, this last one, the one before

0:26:09.240 --> 0:26:12.000
<v Speaker 9>winning streets and then it's terrible.

0:26:13.400 --> 0:26:17.560
<v Speaker 2>Alexis would like your tickets and it's better than the Mets.

0:26:17.840 --> 0:26:19.760
<v Speaker 2>Nice to see Carol. Just get up and leave with

0:26:19.840 --> 0:26:22.160
<v Speaker 2>the mic on Carol Striker.

0:26:22.480 --> 0:26:23.280
<v Speaker 3>You know who does this?

0:26:23.600 --> 0:26:26.159
<v Speaker 2>You know who just leaves with the mic on Michael

0:26:26.200 --> 0:26:30.160
<v Speaker 2>Bloomberg just good walks away. You're in good company.

0:26:30.800 --> 0:26:35.639
<v Speaker 1>This is the Bloomberg Surveillance podcast, available on Apple, Spotify,

0:26:35.760 --> 0:26:40.040
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0:26:40.160 --> 0:26:43.400
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