WEBVTT - Markets Get Nvidia Boost Ahead of Anticipated Fed Cut

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

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<v Speaker 1>Surveillance Podcast. Catch us live weekdays at seven am Eastern

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<v Speaker 1>on Apple CarPlay or Android Auto with the Bloomberg Business App.

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<v Speaker 1>Listen on demand wherever you get your podcasts, or watch

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<v Speaker 1>us live on YouTube.

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<v Speaker 2>Incredibly important.

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<v Speaker 3>Somebody said, like ten billion dollars or some ginormous NUMBERD

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<v Speaker 3>is a ginormous excellence. Julian Emmanuel joins as chief Equity

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<v Speaker 3>and quand strategist Evercore ISI with a definitive note. What's

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<v Speaker 3>distinctive about your daily research note that your team writes

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<v Speaker 3>for you? We know you don't write it, But what's

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<v Speaker 3>distinctive about the note now versus the other previous quarters?

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<v Speaker 3>OMG earnings are better than we thought.

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<v Speaker 4>That's the headline, Tom, and the reality is it's broader

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<v Speaker 4>than you might have thought. I'm balance right. We know

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<v Speaker 4>Tech's going to beat. Tech has beaten, it will continue

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<v Speaker 4>to beat. But one of the more malign sectors, energy

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<v Speaker 4>is also showing very consistent beats, as is financials, which

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<v Speaker 4>was the story that started us off on what is

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<v Speaker 4>likely to be double digit earning.

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<v Speaker 3>Squirrel, you bring it over all. The heritage of Edheimen.

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<v Speaker 3>Evercorn Frankly, you know Isi and frankly, Evercore.

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<v Speaker 2>Is this just because GDP was better than we expected?

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<v Speaker 3>I mean, is this just a real or even nominal

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<v Speaker 3>GDP pop is helping out broad earnings?

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<v Speaker 5>Well, that's certainly part of it.

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<v Speaker 4>It's also this idea that the stress from tariffs has

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<v Speaker 4>sort of dissipated through the system in unseen ways. But again,

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<v Speaker 4>it is the story of what it's been, certainly the

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<v Speaker 4>three years of this bull market, and going back further

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<v Speaker 4>than that, is that every time you think the corporate

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<v Speaker 4>America can't find a way to make margins you know

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<v Speaker 4>better or at least stable at these high levels, productivity

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<v Speaker 4>tends to happen.

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<v Speaker 6>It tends to happen.

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<v Speaker 7>You're right, I mean, don't underestimate the corporate entity out

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<v Speaker 7>there or the consumer. Where do we go here from

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<v Speaker 7>the stock market? I'm guessing a lot of the questions

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<v Speaker 7>you get from your clients is, boy, it feels rich here.

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<v Speaker 6>How do we think about it? Where do we go

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<v Speaker 6>from here?

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<v Speaker 2>So it does.

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<v Speaker 4>And frankly, when you think about the wall of worry,

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<v Speaker 4>we like that because that means there is.

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<v Speaker 5>A wall of worry. I will say in the last

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<v Speaker 5>week or so.

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<v Speaker 4>The fact that September and October were as positive as

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<v Speaker 4>they were have gotten people very, very bullish, and almost

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<v Speaker 4>rightly so, because seasonality tends to be good in November

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<v Speaker 4>and December. But when you think about all this event risk, geopolitical,

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<v Speaker 4>monetary earnings, elections, etc. There may be a step back

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<v Speaker 4>in here. But again, the story of the long time story,

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<v Speaker 4>the AI driven bull market, as we've seen by the

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<v Speaker 4>news flow in the last twenty four hours, is largely

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<v Speaker 4>on track.

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<v Speaker 6>What do you make of gold? What a run that was?

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<v Speaker 6>Is pullback that was?

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<v Speaker 3>That is?

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<v Speaker 6>I don't know? What do you make of gold?

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<v Speaker 4>We think, actually so a lot of our conversations this

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<v Speaker 4>summer in the fall have been about bubbles in the market,

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<v Speaker 4>in the stock market. We think you're a long way

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<v Speaker 4>from that in the s and P. Five hundred and

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<v Speaker 4>in the AI story. But gold could be the bubble

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<v Speaker 4>that has burst in our view, because if you think

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<v Speaker 4>about it, the same reasons that people were buying gold,

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<v Speaker 4>fear of inflation being more permanent, that is not coming

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<v Speaker 4>to roost. It it's still too high, but it is

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<v Speaker 4>on track to come down in twenty twenty six. And

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<v Speaker 4>then this whole idea of the debasement trade. Ye, the

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<v Speaker 4>quote unquote debasement trade. We'll call bunk on that because

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<v Speaker 4>if you think about it, A the dollar has been

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<v Speaker 4>very stable the last several months.

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<v Speaker 5>B yields our law.

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<v Speaker 3>That's right, we're going to go Julian Emmanuel with this,

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<v Speaker 3>folks at evercore Isi here to set up the earning season.

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<v Speaker 3>Let me take the sixty thousand macro view. I'm looking

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<v Speaker 3>to the screen this morning and I see a jump condition,

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<v Speaker 3>and it's because of Donald Trump. He's over in Asia,

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<v Speaker 3>he's getting, as he would say, deals done. I have

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<v Speaker 3>a three day jump condition in ren Minby's strength. I

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<v Speaker 3>got Sterling flat on their back as well. Some of

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<v Speaker 3>the evercore Isi view into your earnings belief for Q

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<v Speaker 3>one of next year, for Q two, does this every

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<v Speaker 3>ninety day idiocy olmng earnings. We thought they'd be terrible,

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<v Speaker 3>they're doing phenomenal. Do we just continue this bad habit?

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<v Speaker 4>Look, we think high single digit earnings growth is in

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<v Speaker 4>our future for twenty twenty six. And you know, frankly

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<v Speaker 4>again to your point this morning in Asia, go back

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<v Speaker 4>to w when the President was in the Middle East,

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<v Speaker 4>deals were getting done, Deals are the lifeblood of what's

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<v Speaker 4>powering the economy and specifically the AI shop.

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<v Speaker 2>So do you take your terminal value out farther? What

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<v Speaker 2>are the rooms today? Google?

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<v Speaker 3>Meta, Facebook, Facebook, Ye Facebook? Do you take your terminal

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<v Speaker 3>value out for Fortress Zuck? Do you take it out

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<v Speaker 3>instead of three years? Find your study? Are you because

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<v Speaker 3>of this juggernaut economy? Do you take it up to

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<v Speaker 3>seven years?

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<v Speaker 4>Well, you have to be careful because the counter veil

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<v Speaker 4>here is again we remember twenty twenty was a low

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<v Speaker 4>in global bond yields, and likely at some point we

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<v Speaker 4>are going to move higher in global bond yields, particularly

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<v Speaker 4>since deficits around the world continue to expand. So that's

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<v Speaker 4>that's part of the offset. But on balance, when you

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<v Speaker 4>think about it, you hear the potential for productivity you're

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<v Speaker 4>gains from AI. You're only starting to see it, but

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<v Speaker 4>that is part of the long term story that causes us.

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<v Speaker 4>In our view, you don't get full AI adoption until

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<v Speaker 4>twenty twenty eight, so we're certainly looking out to there.

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<v Speaker 7>We got lots of obviously earnings today, but we also

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<v Speaker 7>have to fit today here.

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<v Speaker 6>What are you going to be listening for?

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<v Speaker 4>From our chairman so this one seems kind of easy,

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<v Speaker 4>and you know, we're going to get the twenty five cut.

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<v Speaker 4>We're going to get a sort of no promises data

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<v Speaker 4>dependency or lack of data dependency for December. But the

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<v Speaker 4>bottom line is is that the burden of proof is

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<v Speaker 4>on the data to be either too hot in inflation

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<v Speaker 4>or you know, too hot in terms of job growth

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<v Speaker 4>to not cut another twenty five And.

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<v Speaker 5>You know, maybe we're not even going to get any

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<v Speaker 5>more data.

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<v Speaker 6>So I don't know, maybe it's just recency bias. With

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<v Speaker 6>the headlines. It seems like they've seen a lot of

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<v Speaker 6>job cuts out there.

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<v Speaker 7>Don't if it's material, I don't know, if it's yeah,

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<v Speaker 7>yesterday was a wow day. I mean, I don't know

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<v Speaker 7>if this is AI related, if this is just seasonal,

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<v Speaker 7>or if this is anecdotal. How do you guys think

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<v Speaker 7>about the labor market or how do you think the

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<v Speaker 7>Fed thinks about the libor market?

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<v Speaker 5>So it's incredibly challenging.

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<v Speaker 4>You know, first of all, if you go to immigration policy,

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<v Speaker 4>we don't know what the break even monthly payroll adds

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<v Speaker 4>is to keep the unemployment rates steady. It was one

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<v Speaker 4>hundred and twenty thousand last year. Our people think it's

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<v Speaker 4>closer to sixty thousand. But if you assume that migration

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<v Speaker 4>is actually that negative, that number might be twenty or

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<v Speaker 4>thirty thousand.

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<v Speaker 5>So that alone is an incredible problem.

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<v Speaker 3>I mean, folding yesterday, what was it, Paul, we had

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<v Speaker 3>thirty four thousand and fourteen thousand.

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<v Speaker 2>I can there's at math matth is old news.

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<v Speaker 3>If we have AI layoffs at these big companies, how

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<v Speaker 3>does that change something as prosaic is given the shutdown,

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<v Speaker 3>we don't know non farm payrolls or the un deployment rate.

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<v Speaker 4>So here's the flip side of this. Tom and David

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<v Speaker 4>Weston did an amazing interview a few days ago with

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<v Speaker 4>the head of Arizona State University. Is that the transformative

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<v Speaker 4>power of AI in the education field. Imagine this. We

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<v Speaker 4>have a chronic shortage of doctors, the chronic shortage of

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<v Speaker 4>healthcare professionals because half the time they just don't want

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<v Speaker 4>to commit to the payback period that it takes. Could

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<v Speaker 4>AI actually shorten that payback period?

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<v Speaker 5>Absolutely?

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<v Speaker 4>Could AI make it more enticing for teachers where the

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<v Speaker 4>attrition rate has been enormous in recent years, to go

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<v Speaker 4>back into those areas. It's the economy transforming, you know,

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<v Speaker 4>creative destruction, and you don't want to be on the

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<v Speaker 4>destruction side. But it is how economies advanced.

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<v Speaker 3>Get one more in here, folks. So you know Lisa Matteo,

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<v Speaker 3>Paul Sweeney yesterday at BAM mutual Oh yeah, driven by AI,

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<v Speaker 3>exactly right, Julian.

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<v Speaker 6>Is there something that screens well for you guys right now,

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<v Speaker 6>whether it's sectors or factors, what do you, guys, what

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<v Speaker 6>gets your attention these days?

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<v Speaker 5>So we actually think that.

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<v Speaker 4>This is the week where you're seeing the end of

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<v Speaker 4>mutual fun, tax laws selling, and from our point of view,

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<v Speaker 4>when you think it is particularly in a year this strong,

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<v Speaker 4>but there are lots and lots of stocks that are

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<v Speaker 4>down on the year. A number of them are in

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<v Speaker 4>the healthcare sector. Healthcare is at very depressed valuations, and

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<v Speaker 4>healthcare is the focus of the shutdown.

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<v Speaker 3>Twenty seconds ed Iiman and your team their recession call.

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<v Speaker 4>No recession, that they were firm about it during February,

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<v Speaker 4>March and April. They continue to be firm about it.

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<v Speaker 4>The call is for one and a half percent growth

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<v Speaker 4>next year. In my mind, that risk es to the upside.

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<v Speaker 3>Julian, Manuel, don't be stranger we'll see you Monday morning,

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<v Speaker 3>seven am as well. He's with Evercore i EI, their

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<v Speaker 3>chief equity and quantitative strategists. He lifts some market futures

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<v Speaker 3>up nineteen with our news.

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<v Speaker 2>Stay with us.

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<v Speaker 3>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>We need to get brief right now.

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<v Speaker 3>Thomas Simmons joins US now chief feel as Economists at

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<v Speaker 3>Jeffries as well. I love the bottom of your note

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<v Speaker 3>where AIAI and all this caught to the chase and

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<v Speaker 3>Jeffries is you know, there's sort of like a hip ferm.

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<v Speaker 2>They're like involved in all this texture.

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<v Speaker 3>How much is AI scaring the young kids or the

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<v Speaker 3>older kids as well, the sixty year olds. Is it

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<v Speaker 3>a revolution like nineteen ninety five in the Internet.

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<v Speaker 8>I think eventually will be, although I'm not particularly sure

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<v Speaker 8>that it's there just yet. I think that it's an

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<v Speaker 8>easy kind of scapegoat to look at AI and say, oh,

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<v Speaker 8>all of these firms are probably not hiring young college

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<v Speaker 8>graduates because they have chatbots that do their job, or

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<v Speaker 8>they have coding resources that you know, replace all of

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<v Speaker 8>these IT focused majors and whatnot. I think it's actually

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<v Speaker 8>significantly more risky for older folks, right, So, like if

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<v Speaker 8>you were, for instance, a professional who did a lot

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<v Speaker 8>of photo editing. I mean that's been a pretty democratized

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<v Speaker 8>technology in terms of how AI has been kind of

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<v Speaker 8>put in your pocket with your cell phone. So I

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<v Speaker 8>think it's more in terms of like consumption of services

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<v Speaker 8>on the consumer end, we see less demand for very

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<v Speaker 8>specialized services. And I imagine that you know, as people

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<v Speaker 8>progress through their careers and they get kind of close

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<v Speaker 8>to the end of them, then the issue is more

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<v Speaker 8>so that they kind of, you know, they're runways a

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<v Speaker 8>lot shorter in terms of whether when you know, sort

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<v Speaker 8>of how much more big time they thought they had

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<v Speaker 8>before retirement and that sort of thing.

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<v Speaker 7>So given that background, they're on the labor market, there

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<v Speaker 7>are obviously FED focuses on the labor market, focuses on

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<v Speaker 7>price stability, inflation.

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<v Speaker 6>How do you think they're going to proceed here?

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<v Speaker 7>What do you think the message FED Chairman JPAW would

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<v Speaker 7>like to get across.

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<v Speaker 8>Today, I think that the message is pretty much unchanged

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<v Speaker 8>really from where it was after Jackson Hole. I mean,

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<v Speaker 8>I think that there was a c change in the

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<v Speaker 8>sort of perception of how healthy the labor market was.

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<v Speaker 8>You know, you refer to this curious balance of how

0:12:15.840 --> 0:12:17.880
<v Speaker 8>surprising it is that sort of demand and supply and

0:12:17.920 --> 0:12:20.280
<v Speaker 8>the labor market come down at the same time, and

0:12:20.320 --> 0:12:22.960
<v Speaker 8>then very shortly afterwards you see data that suggests that, well,

0:12:23.080 --> 0:12:25.600
<v Speaker 8>maybe it isn't quite as imbalanced as it maybe appeared

0:12:25.640 --> 0:12:28.439
<v Speaker 8>to be earlier in the year, And nothing that we've

0:12:28.440 --> 0:12:31.559
<v Speaker 8>seen since then has really, you know, kind of challenged

0:12:31.559 --> 0:12:32.160
<v Speaker 8>that narrative.

0:12:32.800 --> 0:12:33.000
<v Speaker 2>You know.

0:12:33.200 --> 0:12:34.600
<v Speaker 8>I think that it's one thing to kind of look

0:12:34.600 --> 0:12:37.400
<v Speaker 8>at the labor market and say, well, we're not in

0:12:37.440 --> 0:12:39.280
<v Speaker 8>the midst of some sort of collapse, some sort of

0:12:39.280 --> 0:12:43.840
<v Speaker 8>like really you know, spiraling weakness. However, I do think

0:12:43.880 --> 0:12:46.240
<v Speaker 8>that if you look at the history of labor market data,

0:12:46.520 --> 0:12:50.720
<v Speaker 8>economic data in general, equilibria tend not to last forever, right, So,

0:12:50.880 --> 0:12:53.360
<v Speaker 8>like it's nice that we're at this balance point. Is

0:12:53.400 --> 0:12:56.200
<v Speaker 8>the risk that from a very balanced point you reaccelerate

0:12:56.240 --> 0:12:58.720
<v Speaker 8>to something quite strong or is it probably more balance

0:12:58.800 --> 0:13:01.160
<v Speaker 8>towards the downside where things kind of start to sling.

0:13:01.160 --> 0:13:03.760
<v Speaker 3>We Robert Kaplan and yesterday of Harvard Business School, of

0:13:03.760 --> 0:13:05.480
<v Speaker 3>gold and Sax the former president of the FED, and

0:13:05.559 --> 0:13:09.839
<v Speaker 3>we spent a good amount of time talking about retraining

0:13:10.040 --> 0:13:14.679
<v Speaker 3>in this bargain that we blew it on clothing industry,

0:13:14.679 --> 0:13:19.040
<v Speaker 3>the clothing industry the Carolinas decades and decades ago at Jeffries.

0:13:19.160 --> 0:13:25.720
<v Speaker 3>Do you see a dislocation of labor now and coming forward?

0:13:26.120 --> 0:13:27.600
<v Speaker 2>Jeffrey's sensor run pretty lean.

0:13:27.800 --> 0:13:30.880
<v Speaker 8>So fortunately, I think that our you know, kind of

0:13:30.920 --> 0:13:34.360
<v Speaker 8>corporate culture is aimed at making sure everybody is kind

0:13:34.360 --> 0:13:38.520
<v Speaker 8>of utilizing technology as much as possible. We're pretty careful

0:13:38.520 --> 0:13:41.400
<v Speaker 8>about it, I imagined most other competitors of ours are

0:13:41.440 --> 0:13:44.840
<v Speaker 8>as well. You know, obviously there's information security issues that

0:13:45.240 --> 0:13:46.880
<v Speaker 8>you want to make sure you have buttoned up before

0:13:46.880 --> 0:13:49.120
<v Speaker 8>you just kind of dump out this technology to everybody.

0:13:49.160 --> 0:13:51.839
<v Speaker 8>But you know, it's it's always a risk, right, I mean,

0:13:52.080 --> 0:13:57.280
<v Speaker 8>whenever we've had relatively or you know, revolutionary changes in technology,

0:13:57.600 --> 0:13:59.360
<v Speaker 8>part of the problem is that it looks like it's

0:13:59.400 --> 0:14:01.920
<v Speaker 8>going to be this huge productivity boom that you get

0:14:01.960 --> 0:14:04.319
<v Speaker 8>from it. Eventually, in the long run, you more or

0:14:04.400 --> 0:14:05.920
<v Speaker 8>less do get that, But in the meantime you have

0:14:06.000 --> 0:14:08.120
<v Speaker 8>this kind of messy period where people waste a lot

0:14:08.160 --> 0:14:09.560
<v Speaker 8>of time kind of trying to figure out how to

0:14:09.640 --> 0:14:11.400
<v Speaker 8>use it, and it ends up being kind of an

0:14:11.480 --> 0:14:14.880
<v Speaker 8>investment in productivity, whereas down for a little bit before

0:14:14.920 --> 0:14:17.080
<v Speaker 8>it comes up. So I don't get the sense that

0:14:17.120 --> 0:14:20.280
<v Speaker 8>we're necessarily looking at this as like, oh, we will

0:14:20.320 --> 0:14:23.320
<v Speaker 8>never need to hire more people. I think that that's

0:14:23.360 --> 0:14:26.200
<v Speaker 8>going to be a monstrous mistake if businesses actually do that,

0:14:26.280 --> 0:14:29.600
<v Speaker 8>because you know, it's just a kind of law of

0:14:29.600 --> 0:14:32.360
<v Speaker 8>the universe that your labor force ages every day and

0:14:32.560 --> 0:14:34.960
<v Speaker 8>you need a talent pipeline to continue to fill in

0:14:35.040 --> 0:14:36.960
<v Speaker 8>for people who are moving on for all sorts of

0:14:36.960 --> 0:14:41.000
<v Speaker 8>different reasons, whether that's retirements or pivots to other things.

0:14:42.480 --> 0:14:44.240
<v Speaker 7>How are you viewing inflation out there? I think a

0:14:44.280 --> 0:14:47.480
<v Speaker 7>lot of folks, myself included, are pleasant surprise that we

0:14:48.240 --> 0:14:51.640
<v Speaker 7>haven't seen higher level inflation that may have resulted from terrorists.

0:14:51.680 --> 0:14:53.920
<v Speaker 6>Right, I haven't really seen it in the numbers here.

0:14:54.400 --> 0:14:56.960
<v Speaker 8>How do you guys view that, I, you know, early

0:14:57.000 --> 0:14:59.880
<v Speaker 8>on was really confused about how to interpret the whole tarif.

0:15:00.240 --> 0:15:02.120
<v Speaker 8>I think that you know, most of folks in my

0:15:02.200 --> 0:15:06.240
<v Speaker 8>profession were you know, either suffering for some righteous indignation

0:15:06.320 --> 0:15:10.160
<v Speaker 8>about how silly and kind of you know, misdirected the

0:15:10.200 --> 0:15:12.800
<v Speaker 8>policy is. But that's not for us to debate or

0:15:12.840 --> 0:15:14.720
<v Speaker 8>really it's just trying to figure out what the what

0:15:14.760 --> 0:15:17.440
<v Speaker 8>the impact is. And you know, we've seen a lot

0:15:17.480 --> 0:15:19.400
<v Speaker 8>of price increases in a lot of different goods and

0:15:19.440 --> 0:15:22.400
<v Speaker 8>services for many years. I think a great example of

0:15:22.840 --> 0:15:25.880
<v Speaker 8>something that's really kind of illustrative of the whole situation

0:15:25.960 --> 0:15:28.320
<v Speaker 8>is in auto and home insurance. Right, if your auto

0:15:28.360 --> 0:15:32.080
<v Speaker 8>insurance rates rise, you are pretty much immediately going to switch.

0:15:32.120 --> 0:15:33.640
<v Speaker 2>You don't get utility.

0:15:33.200 --> 0:15:35.400
<v Speaker 8>From like the service that one of these you know,

0:15:35.480 --> 0:15:37.880
<v Speaker 8>insurers provides you on a day to day basis. You

0:15:37.920 --> 0:15:39.600
<v Speaker 8>need them maybe three or four times in your life,

0:15:39.640 --> 0:15:43.960
<v Speaker 8>hopefully fewer than that. So there's a first mover disadvantage

0:15:44.000 --> 0:15:46.840
<v Speaker 8>amongst the insurers to raise their rates, right, like they

0:15:46.880 --> 0:15:49.560
<v Speaker 8>would say, we'll try to capture market share from people

0:15:49.840 --> 0:15:52.800
<v Speaker 8>who are getting away from the companies that are kind

0:15:52.800 --> 0:15:55.000
<v Speaker 8>of forced to move with prices. I think that we're

0:15:55.000 --> 0:15:56.520
<v Speaker 8>going to see that with goods too. I mean, like

0:15:56.520 --> 0:16:00.480
<v Speaker 8>they're very substitutable across a number of different vectors and

0:16:00.720 --> 0:16:02.600
<v Speaker 8>you know, to this point, we haven't really seen much

0:16:02.600 --> 0:16:06.200
<v Speaker 8>in the inflation data that's shown that prices have risen significantly.

0:16:06.480 --> 0:16:08.040
<v Speaker 8>I think it's kind of crazy to look at one

0:16:08.120 --> 0:16:10.640
<v Speaker 8>hundred plus percent tariff rates on China and then say

0:16:10.840 --> 0:16:13.320
<v Speaker 8>a nine tenths increase in like window coverings is the

0:16:13.360 --> 0:16:14.760
<v Speaker 8>result of of that.

0:16:14.920 --> 0:16:17.760
<v Speaker 3>The heart of the matter is, are we in the

0:16:17.800 --> 0:16:19.520
<v Speaker 3>phrase that I'm using more and more now is a

0:16:19.560 --> 0:16:23.120
<v Speaker 3>decline in purchasing power among a huge body of Americans?

0:16:23.120 --> 0:16:24.400
<v Speaker 2>Okay?

0:16:24.440 --> 0:16:29.800
<v Speaker 3>Within the tariffs and the debate, how do we withstand prices?

0:16:29.840 --> 0:16:35.120
<v Speaker 3>And the research so far is we're accepting higher prices, right.

0:16:35.560 --> 0:16:38.440
<v Speaker 8>I think there is enough of the consumer base that

0:16:38.560 --> 0:16:41.680
<v Speaker 8>is accepting higher prices, right. I think that we focus

0:16:41.720 --> 0:16:44.840
<v Speaker 8>a lot of people who are struggling appropriately, so there's

0:16:44.880 --> 0:16:47.200
<v Speaker 8>policy action needs to be taken to try to help

0:16:47.240 --> 0:16:49.800
<v Speaker 8>people out. But like anyone who bought a home or

0:16:49.840 --> 0:16:53.840
<v Speaker 8>refinance their mortgage before twenty twenty has not suffered any

0:16:53.920 --> 0:16:57.160
<v Speaker 8>shelter inflation in five years, right, They've actually had their

0:16:57.160 --> 0:16:58.160
<v Speaker 8>purchasing power.

0:16:57.920 --> 0:16:59.080
<v Speaker 6>Increase over that whole time.

0:16:59.120 --> 0:17:00.520
<v Speaker 8>And I think that that's one of the key reasons

0:17:00.520 --> 0:17:04.119
<v Speaker 8>why we've seen the consumer writ large done so well here,

0:17:04.320 --> 0:17:06.919
<v Speaker 8>And I think that businesses will probably focus on that

0:17:06.960 --> 0:17:10.119
<v Speaker 8>and say, hey, if I'm charging a lot for a

0:17:10.160 --> 0:17:12.560
<v Speaker 8>frivolous option on a car, for instance, maybe I can

0:17:12.600 --> 0:17:14.520
<v Speaker 8>bump the price of that quite a lot while keeping

0:17:14.520 --> 0:17:17.879
<v Speaker 8>the base price lower so the broad consumer doesn't suffer

0:17:17.920 --> 0:17:19.880
<v Speaker 8>the same kind of inflation pressure as the ones who

0:17:19.880 --> 0:17:22.000
<v Speaker 8>are sort of better able to accept this price.

0:17:22.119 --> 0:17:23.600
<v Speaker 2>How much of.

0:17:23.480 --> 0:17:27.040
<v Speaker 3>This consumer boom that we have, you know, I don't

0:17:27.040 --> 0:17:29.760
<v Speaker 3>even know if they're doing Atlanta GDP now, but let's

0:17:29.760 --> 0:17:33.040
<v Speaker 3>call it two point five percent plus real GDP now

0:17:33.119 --> 0:17:37.400
<v Speaker 3>almost four four point four, four point eight, whatever it is.

0:17:37.800 --> 0:17:40.320
<v Speaker 3>How much of that do you calculate as a wealth effect?

0:17:40.760 --> 0:17:41.200
<v Speaker 6>A lot?

0:17:41.800 --> 0:17:45.040
<v Speaker 2>I do think that it's Lisa, A lot doesn't cut it.

0:17:45.160 --> 0:17:49.280
<v Speaker 8>I don't want a number eighty five ninety Yeah, No,

0:17:49.359 --> 0:17:52.159
<v Speaker 8>I pop is wealth effect. When folks ask me what

0:17:52.280 --> 0:17:54.880
<v Speaker 8>my biggest sort of concern downside risk thing that keeps

0:17:54.920 --> 0:17:57.320
<v Speaker 8>me up at night sort of thing, is my concern

0:17:57.520 --> 0:17:59.080
<v Speaker 8>is that we're going to get some sort of big

0:17:59.119 --> 0:18:02.119
<v Speaker 8>decline in asset prices that I think will crush the

0:18:02.200 --> 0:18:06.120
<v Speaker 8>consumer in the aggregate overnight. Right Like, I do think

0:18:06.119 --> 0:18:10.160
<v Speaker 8>that there's reasons why we see kind of weakening participation

0:18:10.200 --> 0:18:12.199
<v Speaker 8>amongst different groups in the labor market. Part of that

0:18:12.240 --> 0:18:14.320
<v Speaker 8>is because they've made enough money or they have enough

0:18:14.320 --> 0:18:17.080
<v Speaker 8>assets that they can retire early or reduce their work

0:18:17.440 --> 0:18:20.639
<v Speaker 8>load or that sort of thing that changes very quickly

0:18:20.720 --> 0:18:23.359
<v Speaker 8>if prices kind of you know, enter into a very

0:18:23.520 --> 0:18:27.120
<v Speaker 8>nasty sort of negative spiral. So it's not so much

0:18:27.119 --> 0:18:29.800
<v Speaker 8>that I think people are saying like, oh, my portfolio

0:18:29.800 --> 0:18:32.240
<v Speaker 8>went up x percent overnight, I can spend that much more.

0:18:32.400 --> 0:18:35.919
<v Speaker 8>It's more so like, how comfortable am I such that

0:18:35.960 --> 0:18:38.439
<v Speaker 8>I can make some more? You know, I have more

0:18:38.480 --> 0:18:41.520
<v Speaker 8>flexibility in my spending choices because of how well I'm

0:18:41.560 --> 0:18:42.520
<v Speaker 8>doing with my assets.

0:18:42.760 --> 0:18:45.920
<v Speaker 3>What's your GDP twelve months for real GDP?

0:18:46.480 --> 0:18:48.680
<v Speaker 8>Turish, I'm a little higher than that. I think we're

0:18:48.680 --> 0:18:51.439
<v Speaker 8>closer to like two and a half. I think that, yeah, well,

0:18:51.680 --> 0:18:52.280
<v Speaker 8>I mean, have.

0:18:52.280 --> 0:18:56.360
<v Speaker 2>We ever seen apatanism from Jefferies? I've always been an optimist.

0:18:56.560 --> 0:19:00.840
<v Speaker 8>I've am more amongst the most optimist economists mystic economists

0:19:00.840 --> 0:19:03.080
<v Speaker 8>out there, I would say, but I think that it's

0:19:03.119 --> 0:19:07.160
<v Speaker 8>underappreciated on a couple of different fronts. One, wealthier households

0:19:07.160 --> 0:19:08.720
<v Speaker 8>are actually going to get a tax break with the

0:19:08.720 --> 0:19:12.160
<v Speaker 8>big increase in salt deductions. Yeah, everybody in this room,

0:19:12.200 --> 0:19:14.720
<v Speaker 8>I think, is you know, kind of aware of that.

0:19:15.080 --> 0:19:17.800
<v Speaker 8>But I also think it's underappreciated that we actually have

0:19:17.960 --> 0:19:21.160
<v Speaker 8>much more certainty on fiscal policy now than we would

0:19:21.200 --> 0:19:24.560
<v Speaker 8>in previous years. Oh, tariffs are Yeah, they're kind of

0:19:24.560 --> 0:19:26.239
<v Speaker 8>in the rear view mirror, like I think the kind

0:19:26.280 --> 0:19:29.479
<v Speaker 8>of range of outcomes is narrower. But also just the

0:19:29.520 --> 0:19:33.000
<v Speaker 8>investment incentives and the tax structure. It's not that long

0:19:33.040 --> 0:19:35.960
<v Speaker 8>ago several years in the recent past where the IRS

0:19:36.040 --> 0:19:40.400
<v Speaker 8>was like reprinting tax forms on New Year's Eve because

0:19:40.440 --> 0:19:43.280
<v Speaker 8>some tax law had just been passed at the eleventh hour.

0:19:43.640 --> 0:19:45.480
<v Speaker 8>We've known the kind of broad strokes of what the

0:19:45.520 --> 0:19:48.240
<v Speaker 8>policy is going to look like since Independence Day, and

0:19:48.560 --> 0:19:50.520
<v Speaker 8>that's I can't remember the last year we've had something

0:19:50.560 --> 0:19:52.840
<v Speaker 8>like that where there's been enough time for business planning

0:19:53.440 --> 0:19:55.720
<v Speaker 8>for next year. So I think that we'll get some

0:19:55.880 --> 0:19:58.800
<v Speaker 8>dovetailing between stronger consumer and also business investment.

0:19:58.920 --> 0:19:59.879
<v Speaker 2>Thank you, Thomas Simms.

0:20:00.000 --> 0:20:02.040
<v Speaker 3>I really appreciate the break with Jeffreys aer or real

0:20:02.080 --> 0:20:05.480
<v Speaker 3>Dosa optimism moving forward, and we do that on this

0:20:05.640 --> 0:20:11.359
<v Speaker 3>FED day as well. Stay with us more from Bloomberg

0:20:11.480 --> 0:20:20.560
<v Speaker 3>Surveillance coming up after this.

0:20:20.560 --> 0:20:24.480
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:20:24.520 --> 0:20:27.919
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:20:27.960 --> 0:20:30.920
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:20:31.000 --> 0:20:34.560
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:20:34.600 --> 0:20:36.400
<v Speaker 1>say Alexa Play Bloomberg.

0:20:36.440 --> 0:20:38.399
<v Speaker 9>Eleven thirty is John Murray.

0:20:38.480 --> 0:20:41.000
<v Speaker 3>The last time he was in was really interesting about

0:20:41.000 --> 0:20:44.600
<v Speaker 3>his Texas and you know, just the boom that's out

0:20:44.600 --> 0:20:48.440
<v Speaker 3>there as well. How do you respond to people who

0:20:48.520 --> 0:20:53.480
<v Speaker 3>say it's not a boom, it's not a technological productivity

0:20:53.640 --> 0:20:56.119
<v Speaker 3>driven moment that we're in in.

0:20:56.520 --> 0:20:58.920
<v Speaker 10>Are you talking about Texas or are we talking about

0:20:58.920 --> 0:21:00.960
<v Speaker 10>the stuff mona Texas?

0:21:01.440 --> 0:21:02.359
<v Speaker 2>Right, don't New Jersey.

0:21:02.440 --> 0:21:04.880
<v Speaker 3>I mean to me, there's a lot of people out

0:21:04.920 --> 0:21:06.399
<v Speaker 3>there doubting what we're living.

0:21:06.800 --> 0:21:07.119
<v Speaker 2>Well.

0:21:07.280 --> 0:21:08.880
<v Speaker 10>I think that, you know, if you look at what's

0:21:08.920 --> 0:21:10.520
<v Speaker 10>going on in the markets, a lot of things are

0:21:10.560 --> 0:21:14.760
<v Speaker 10>being driven by earnings and that creates stability. I think

0:21:14.760 --> 0:21:17.399
<v Speaker 10>that's been one of the biggest reasons we've seen some

0:21:17.440 --> 0:21:20.879
<v Speaker 10>of these mega compounders continue in the marketplace today. And

0:21:20.880 --> 0:21:24.040
<v Speaker 10>I think that China is a really interesting component of

0:21:24.040 --> 0:21:27.639
<v Speaker 10>this because it has a lot of these mega compounder

0:21:27.640 --> 0:21:31.000
<v Speaker 10>companies trading at much lower multiples. And fun fact, we're

0:21:31.000 --> 0:21:34.120
<v Speaker 10>almost at Halloween. Since Halloween of twenty twenty two when

0:21:34.119 --> 0:21:37.240
<v Speaker 10>the market bottomed, the Chinese index is beating the S

0:21:37.280 --> 0:21:40.520
<v Speaker 10>and P five hundred. That's within Nvidia doing everything it's done.

0:21:40.560 --> 0:21:43.440
<v Speaker 10>So I think there's some really interesting opportunities out there,

0:21:44.880 --> 0:21:46.359
<v Speaker 10>and I want to talk about a handful of them.

0:21:46.400 --> 0:21:47.800
<v Speaker 9>But I also want to talk a little.

0:21:47.600 --> 0:21:49.639
<v Speaker 10>Bit about a QT at some point today, because that's

0:21:49.680 --> 0:21:50.680
<v Speaker 10>a literaryropical.

0:21:51.119 --> 0:21:52.960
<v Speaker 7>I mean, that's something all I care about is what

0:21:53.080 --> 0:21:54.920
<v Speaker 7>the FED is going to do with rates, but it

0:21:54.960 --> 0:21:57.320
<v Speaker 7>is what are they doing with their balance sheet as well?

0:21:57.480 --> 0:21:58.520
<v Speaker 6>How are you thinking about it?

0:21:58.680 --> 0:22:02.000
<v Speaker 10>Yeah, let me say I was actually thinking about coming

0:22:02.000 --> 0:22:05.760
<v Speaker 10>on air today and I was going through things I

0:22:05.760 --> 0:22:08.160
<v Speaker 10>wanted to discuss, and it occurred to me that we

0:22:08.240 --> 0:22:12.960
<v Speaker 10>have a third mandate for the FED, and the first

0:22:12.960 --> 0:22:17.600
<v Speaker 10>two unemployment and inflation. But the third mandate is inherited,

0:22:17.680 --> 0:22:22.159
<v Speaker 10>and that is managing balance sheet liquidity. Post the GFC,

0:22:22.720 --> 0:22:25.520
<v Speaker 10>they entered into this new world era where they have

0:22:25.600 --> 0:22:29.399
<v Speaker 10>to continually monitor what they're doing on their balance sheet,

0:22:29.640 --> 0:22:31.600
<v Speaker 10>and this is really a new mandate for them. And

0:22:31.680 --> 0:22:34.520
<v Speaker 10>if you look at what happened in nineteen, those reserves

0:22:34.520 --> 0:22:38.440
<v Speaker 10>on the federal balance sheet dipped lower below that three

0:22:38.440 --> 0:22:41.480
<v Speaker 10>trillion mark, and that created real scares in the repo market.

0:22:41.920 --> 0:22:45.240
<v Speaker 10>We're seeing the similar thing today. Why is the Fed

0:22:45.240 --> 0:22:48.480
<v Speaker 10>all of a sudden stopping QT. What is the reason

0:22:48.520 --> 0:22:50.760
<v Speaker 10>for that? Well, it has to do with the ability

0:22:50.760 --> 0:22:54.800
<v Speaker 10>for banks to lend money in that repo market, and

0:22:54.840 --> 0:22:57.400
<v Speaker 10>that reserves on their balance sheet close to that three

0:22:57.440 --> 0:23:00.119
<v Speaker 10>trillion mark is a big deal. So the reason I

0:23:00.160 --> 0:23:02.560
<v Speaker 10>say this is because because we live in a world

0:23:02.560 --> 0:23:06.280
<v Speaker 10>now where defense always going to be focused on what

0:23:06.440 --> 0:23:08.520
<v Speaker 10>is on their balance sheet and how much and if

0:23:08.520 --> 0:23:11.080
<v Speaker 10>they're doing q E or QT, I think that creates

0:23:11.119 --> 0:23:14.119
<v Speaker 10>a real dynamic at play in the financial plumbing and

0:23:14.160 --> 0:23:17.080
<v Speaker 10>in the financial markets. And one reason I like regional

0:23:17.119 --> 0:23:21.920
<v Speaker 10>banks they will benefit with QT coming to an end

0:23:21.960 --> 0:23:24.520
<v Speaker 10>because that will make it easier for them to lend

0:23:24.640 --> 0:23:28.920
<v Speaker 10>money and that will produce a pop in their nims.

0:23:29.240 --> 0:23:32.560
<v Speaker 3>It is a general statement the banks are behind, right,

0:23:32.640 --> 0:23:34.600
<v Speaker 3>and this melt up the banks.

0:23:34.280 --> 0:23:37.560
<v Speaker 2>Oh yeah or behind? Oh yeah? How behind is behind?

0:23:37.600 --> 0:23:40.439
<v Speaker 9>They're really behind? They're flager date the.

0:23:40.800 --> 0:23:43.560
<v Speaker 3>I know, but on a p or book price to book,

0:23:43.640 --> 0:23:47.000
<v Speaker 3>you know, the stuff you look at, measure the behind

0:23:47.080 --> 0:23:47.680
<v Speaker 3>that they are.

0:23:48.680 --> 0:23:49.000
<v Speaker 2>Tom.

0:23:49.040 --> 0:23:52.000
<v Speaker 10>You can get regional banks on a price to book

0:23:52.040 --> 0:23:55.880
<v Speaker 10>basis at the same level that they were in May

0:23:55.960 --> 0:24:01.000
<v Speaker 10>of twenty twenty three when you had the SVB and our.

0:24:00.840 --> 0:24:02.840
<v Speaker 9>First public blow up. They're cheap.

0:24:02.880 --> 0:24:06.280
<v Speaker 2>So what's the catalyst to make that look in video like?

0:24:06.600 --> 0:24:08.320
<v Speaker 9>Aha? Well, three things.

0:24:08.760 --> 0:24:11.200
<v Speaker 10>The first I would mention, I think that the stopping

0:24:11.200 --> 0:24:13.400
<v Speaker 10>of QT is a real tailwind.

0:24:14.119 --> 0:24:14.879
<v Speaker 9>Deregulation.

0:24:15.400 --> 0:24:17.760
<v Speaker 10>That's a big component with what's going on with the

0:24:17.800 --> 0:24:20.600
<v Speaker 10>Trump administration, so they want to continue that. We're seeing

0:24:20.640 --> 0:24:23.040
<v Speaker 10>him in the activity already. So you know, you've seen

0:24:23.160 --> 0:24:27.040
<v Speaker 10>Cadence get purchased recently so by Huntingdon Bank shares, so

0:24:27.080 --> 0:24:28.680
<v Speaker 10>I think they'll see more M and A. But I

0:24:28.720 --> 0:24:33.719
<v Speaker 10>think the main driver is two big pieces valuation and

0:24:33.800 --> 0:24:36.000
<v Speaker 10>earnings growth. You've got earnings growth coming out of these

0:24:36.040 --> 0:24:39.879
<v Speaker 10>banks in the high teens sometimes even twenty percent, so

0:24:39.960 --> 0:24:44.040
<v Speaker 10>stepergield curve, low valuations, fast earnings, deregulation and then the

0:24:44.040 --> 0:24:47.040
<v Speaker 10>stopping of QT. All those things coalesce into a pretty

0:24:47.040 --> 0:24:47.840
<v Speaker 10>interesting basket.

0:24:48.160 --> 0:24:50.959
<v Speaker 3>Jack Murray with his chief investment officer at NFJA. We

0:24:50.960 --> 0:24:53.720
<v Speaker 3>welcome all of you across America. We welcome at you

0:24:53.840 --> 0:24:57.880
<v Speaker 3>in Texas where he is from, and we say good

0:24:57.920 --> 0:24:59.680
<v Speaker 3>morning on YouTube as well worldwide.

0:24:59.680 --> 0:24:59.919
<v Speaker 2>Good one.

0:25:00.000 --> 0:25:03.440
<v Speaker 3>We're on the Pacific Rim where Tyler Kendall is in Korea,

0:25:03.480 --> 0:25:06.280
<v Speaker 3>good morning and good night, I should say, in India

0:25:06.280 --> 0:25:10.000
<v Speaker 3>as well. Thanks for your attendance on a daily basis

0:25:10.040 --> 0:25:13.320
<v Speaker 3>on YouTube. Subscribe to Bloomberg Podcast.

0:25:13.240 --> 0:25:15.600
<v Speaker 7>Paul Sweet Johnny, you mentioned China here, and we've got

0:25:15.600 --> 0:25:20.440
<v Speaker 7>President Trump meeting with President She tomorrow, presumably in South Korea.

0:25:20.520 --> 0:25:23.280
<v Speaker 7>What is your China call here? So we've been very

0:25:23.280 --> 0:25:25.520
<v Speaker 7>bullish on China. We got very bullish, as I mentioned

0:25:25.520 --> 0:25:28.040
<v Speaker 7>back in twenty twenty two. We've stayed long China.

0:25:28.320 --> 0:25:30.800
<v Speaker 10>I think actually in our international and our Emerging market funds,

0:25:30.800 --> 0:25:33.600
<v Speaker 10>we might be the top allocators within that region in

0:25:33.760 --> 0:25:36.359
<v Speaker 10>China gues, So we're really bullish there. You know, what

0:25:36.400 --> 0:25:39.240
<v Speaker 10>I would say is that the fact that they're meeting

0:25:39.600 --> 0:25:42.280
<v Speaker 10>is a real positive. There's definitely been you know, some

0:25:42.359 --> 0:25:45.280
<v Speaker 10>hand gar and aids thrown back and forth between the two.

0:25:47.040 --> 0:25:49.160
<v Speaker 10>I think that the last time they met was back

0:25:49.200 --> 0:25:51.800
<v Speaker 10>in two thousand and nineteen. That was for a brief

0:25:51.840 --> 0:25:54.959
<v Speaker 10>period in Japan. And before that it was at mar Lago.

0:25:55.640 --> 0:25:59.320
<v Speaker 10>They're not going to meet in Korea without some positives

0:25:59.359 --> 0:26:02.280
<v Speaker 10>to share for the market. The reality is President she

0:26:03.040 --> 0:26:06.119
<v Speaker 10>knows that he needs to continue the strength in his economy.

0:26:06.359 --> 0:26:10.159
<v Speaker 10>He wants to open up some of the pathways for communication.

0:26:10.320 --> 0:26:12.120
<v Speaker 10>So I think that there are real positives that could

0:26:12.160 --> 0:26:14.040
<v Speaker 10>come out of this EVS or one thing they're going

0:26:14.119 --> 0:26:14.520
<v Speaker 10>to tackle.

0:26:14.640 --> 0:26:15.600
<v Speaker 9>Rare earths are another.

0:26:16.160 --> 0:26:19.119
<v Speaker 10>The rare earth thing is funny because they're actually not

0:26:19.280 --> 0:26:20.000
<v Speaker 10>rare as we know.

0:26:20.160 --> 0:26:22.840
<v Speaker 9>They're just refined in China.

0:26:22.880 --> 0:26:24.959
<v Speaker 10>But these are real levers and the reality is we

0:26:25.040 --> 0:26:28.720
<v Speaker 10>need the two superpowers to work together. So I think

0:26:28.720 --> 0:26:31.480
<v Speaker 10>this could be a real catalyst. But to be quite candid,

0:26:31.520 --> 0:26:33.879
<v Speaker 10>I think the main catalyst is you've got a lot

0:26:33.920 --> 0:26:36.760
<v Speaker 10>of earnings growth coming out of China, really low valuation,

0:26:37.240 --> 0:26:39.320
<v Speaker 10>and they're a sleeper in the AI trade.

0:26:39.680 --> 0:26:40.480
<v Speaker 9>And if you look at.

0:26:40.440 --> 0:26:42.320
<v Speaker 10>What's going on in the US, I mean, Jensen Wand

0:26:42.359 --> 0:26:44.640
<v Speaker 10>came out this summer and said that Deep Seek and

0:26:44.880 --> 0:26:46.840
<v Speaker 10>Tencent and Bobby he said their models are as good

0:26:46.840 --> 0:26:49.280
<v Speaker 10>as ours. And I don't really think that Americans are

0:26:49.280 --> 0:26:52.520
<v Speaker 10>fully pricing that in and I think there was a

0:26:52.600 --> 0:26:54.880
<v Speaker 10>lot of scare you know, maybe several months back about

0:26:54.920 --> 0:26:57.840
<v Speaker 10>delisting at eight RS. You know that has not come

0:26:57.880 --> 0:26:59.960
<v Speaker 10>to fruition. I do not think that would be good

0:27:00.400 --> 0:27:04.720
<v Speaker 10>for either country. The reality is China wants capital. She

0:27:04.920 --> 0:27:08.320
<v Speaker 10>wants money to flow into China, and he wants investment

0:27:08.400 --> 0:27:11.159
<v Speaker 10>from the US. And Trump knows that he needs to

0:27:11.240 --> 0:27:13.960
<v Speaker 10>work with you to find a path here. Finanall is

0:27:14.000 --> 0:27:16.040
<v Speaker 10>the big wild card. If they find a way to

0:27:16.080 --> 0:27:18.520
<v Speaker 10>talk about that and restrict some of that coming to

0:27:18.520 --> 0:27:20.399
<v Speaker 10>the US, that'd be a big win. So this is

0:27:20.400 --> 0:27:23.639
<v Speaker 10>probably the beginning of meetings. I would expect they meet again,

0:27:24.040 --> 0:27:27.399
<v Speaker 10>hopefully around Christmas time, maybe mar Lago. Maybe we get

0:27:27.440 --> 0:27:29.560
<v Speaker 10>another meeting in Florida between g and Trump.

0:27:29.680 --> 0:27:32.160
<v Speaker 3>Do you model and the prison here for John Murray

0:27:32.240 --> 0:27:34.440
<v Speaker 3>folks is Texas, which we all agree is it's a

0:27:34.640 --> 0:27:38.240
<v Speaker 3>unique separate and I mean I needed a passport to

0:27:38.240 --> 0:27:41.040
<v Speaker 3>get through the George Bush Airport in Houston.

0:27:41.359 --> 0:27:43.480
<v Speaker 10>Yeah sure, yeah, you know, customers, I think it's the

0:27:43.600 --> 0:27:45.480
<v Speaker 10>ninth largest economy in the world.

0:27:45.320 --> 0:27:46.639
<v Speaker 2>Is thank you.

0:27:46.720 --> 0:27:48.480
<v Speaker 9>Yeah, yeah, it's really big.

0:27:48.680 --> 0:27:51.199
<v Speaker 3>So if we do this China Ai thing and all

0:27:51.240 --> 0:27:53.960
<v Speaker 3>the happy talking Trump and G and all, that, does

0:27:53.960 --> 0:27:57.520
<v Speaker 3>that mean the Chinese economy actually lifts up and they

0:27:57.520 --> 0:27:59.919
<v Speaker 3>get back to a real consumption that's been missing.

0:28:00.640 --> 0:28:02.880
<v Speaker 9>I think it's very possible. I really do.

0:28:02.960 --> 0:28:04.680
<v Speaker 10>I think that if you look at what's going on,

0:28:05.480 --> 0:28:07.680
<v Speaker 10>you know, Jack maw coming back was a big deal.

0:28:08.200 --> 0:28:11.960
<v Speaker 10>Pony Moss come out, he's the CEO of Tencent in

0:28:12.040 --> 0:28:14.960
<v Speaker 10>support of some of the moves that G is making.

0:28:15.040 --> 0:28:17.680
<v Speaker 10>So I think that she can take a page from

0:28:17.680 --> 0:28:20.600
<v Speaker 10>the playbook of Trump that you need to be working

0:28:20.720 --> 0:28:24.159
<v Speaker 10>with your top leaders of the biggest companies, the biggest

0:28:24.160 --> 0:28:28.159
<v Speaker 10>employers in order for the country to thrive. So I

0:28:28.200 --> 0:28:31.160
<v Speaker 10>think that G is doing that. He did clean house

0:28:31.200 --> 0:28:34.400
<v Speaker 10>in his cabinet recently. That's an interesting move that he made,

0:28:34.440 --> 0:28:36.760
<v Speaker 10>so he definitely has stacked it with people that are

0:28:36.760 --> 0:28:38.800
<v Speaker 10>aligned with him. But if I'm being honest, it's no

0:28:38.840 --> 0:28:40.720
<v Speaker 10>different than generally what we see here in the US,

0:28:40.720 --> 0:28:42.720
<v Speaker 10>people trying to put people around them that they think

0:28:42.720 --> 0:28:43.520
<v Speaker 10>are aligned with them.

0:28:43.600 --> 0:28:45.959
<v Speaker 9>So I do think that we have some upside here.

0:28:46.040 --> 0:28:48.520
<v Speaker 6>Well, now, emmy learning China, well program.

0:28:48.120 --> 0:28:51.840
<v Speaker 3>Note on that Elizabeth Economy with us here recently, and

0:28:51.960 --> 0:28:53.080
<v Speaker 3>you know she's so subtle.

0:28:53.560 --> 0:28:56.040
<v Speaker 2>Time shut up and read this book. Sure, I mean,

0:28:56.080 --> 0:28:57.320
<v Speaker 2>she's so gentle about it.

0:28:57.400 --> 0:28:59.720
<v Speaker 3>Yep, And I'm actually reading a book on the Chinese

0:28:59.760 --> 0:29:03.920
<v Speaker 3>milllitary because doctor Economy said a stupid read it. Absolutely,

0:29:04.040 --> 0:29:06.280
<v Speaker 3>I don't have a report on it yet, but you know,

0:29:06.360 --> 0:29:08.680
<v Speaker 3>like you say, they replaced generals.

0:29:08.160 --> 0:29:09.800
<v Speaker 2>And yeah, aderals as.

0:29:09.760 --> 0:29:12.480
<v Speaker 7>Such, Mike proxy for China has always been Ali Baba

0:29:12.480 --> 0:29:14.360
<v Speaker 7>and the stocks up one hundred and ten percent a

0:29:14.560 --> 0:29:16.560
<v Speaker 7>year to date. So my boy Joe Sai getting it

0:29:16.600 --> 0:29:19.440
<v Speaker 7>done there at Ali Baba. You guys are value investors.

0:29:19.480 --> 0:29:21.960
<v Speaker 7>How do you define value? So we look at value

0:29:22.160 --> 0:29:25.600
<v Speaker 7>through a few dimensions. The first is based on evaluation

0:29:25.680 --> 0:29:29.640
<v Speaker 7>relative to a company's history, the market, and peers. But

0:29:29.680 --> 0:29:31.560
<v Speaker 7>I will tell you that the peer group is the

0:29:31.600 --> 0:29:35.640
<v Speaker 7>real crown jewel of our research because peers are not homogeneous.

0:29:35.800 --> 0:29:37.760
<v Speaker 7>Think about the housing market, for example, if you look

0:29:37.800 --> 0:29:41.080
<v Speaker 7>at homes you know in New York or California, you

0:29:41.120 --> 0:29:45.160
<v Speaker 7>really have to create homogeneous peer sets to determine if

0:29:45.200 --> 0:29:47.440
<v Speaker 7>a house is expensive or cheap. It's not just you know,

0:29:47.440 --> 0:29:49.120
<v Speaker 7>every house on your block is not a comp. So

0:29:49.120 --> 0:29:51.200
<v Speaker 7>if we take regional banks, you can't say that they're

0:29:51.240 --> 0:29:53.680
<v Speaker 7>all comps because some have wealth management, some are tied

0:29:53.680 --> 0:29:56.400
<v Speaker 7>to interest rates. So you need to really have a

0:29:56.440 --> 0:29:59.040
<v Speaker 7>statistically tight group and.

0:30:00.120 --> 0:30:02.440
<v Speaker 3>Single best buy. Are you allowed to say like this

0:30:02.480 --> 0:30:03.800
<v Speaker 3>is our single best buy.

0:30:03.920 --> 0:30:05.760
<v Speaker 10>Well, that would be if I do the single best

0:30:05.760 --> 0:30:07.360
<v Speaker 10>buy it. I have a one stock portfolio, so we

0:30:07.440 --> 0:30:11.120
<v Speaker 10>run diversified. But I will tell you that Ali Baba

0:30:11.160 --> 0:30:14.280
<v Speaker 10>is our top weight in our international So it's nice.

0:30:14.680 --> 0:30:18.400
<v Speaker 3>Paul's really on top of this. Well, give us twenty seconds,

0:30:18.680 --> 0:30:19.720
<v Speaker 3>Ali Baba.

0:30:19.520 --> 0:30:21.120
<v Speaker 9>Go okay, So Ali Baba.

0:30:21.240 --> 0:30:23.480
<v Speaker 10>First thing I'll say is they have they have made

0:30:23.480 --> 0:30:26.800
<v Speaker 10>a commitment to do over fifty two billion in cloud

0:30:26.880 --> 0:30:30.040
<v Speaker 10>infrastructure over the next three years. That's an enormous commitment

0:30:30.080 --> 0:30:33.200
<v Speaker 10>to AI. You're trading at some of the lowest valuations

0:30:33.200 --> 0:30:36.120
<v Speaker 10>on EVA to EBITDA basis over the last decade. We

0:30:36.200 --> 0:30:37.760
<v Speaker 10>have a long way to go. They've been increasing their

0:30:37.760 --> 0:30:40.280
<v Speaker 10>dividend and they now pay a dividend. Ali Baba went

0:30:40.280 --> 0:30:43.160
<v Speaker 10>from a growth stock to a value stock. So you've

0:30:43.160 --> 0:30:45.640
<v Speaker 10>got dividing growth, You've got tons of cash in the

0:30:45.640 --> 0:30:49.080
<v Speaker 10>balance sheet, big investments in AI. I think the future

0:30:49.160 --> 0:30:51.920
<v Speaker 10>is really bright for these guys. This is a combination

0:30:52.120 --> 0:30:56.440
<v Speaker 10>of Amazon in VideA. You have all these components tied

0:30:56.440 --> 0:31:03.880
<v Speaker 10>together within the Baba infrastructure. Cloud infrastructure Chips Models Retails

0:31:03.920 --> 0:31:04.840
<v Speaker 10>that covers it.

0:31:05.440 --> 0:31:08.560
<v Speaker 2>You guys, I see you. You're on with Robin Hood

0:31:08.640 --> 0:31:09.880
<v Speaker 2>right now. Absolutely.

0:31:12.280 --> 0:31:14.280
<v Speaker 6>I belong to Joe Sigh for a long time.

0:31:14.320 --> 0:31:17.480
<v Speaker 10>Tell me one thing about quick qick quick. Taiwan is

0:31:17.520 --> 0:31:20.280
<v Speaker 10>the big wildcard. What is going to happen with Taiwan?

0:31:21.520 --> 0:31:24.160
<v Speaker 10>If we looked at the playbook for Hong Kong, they

0:31:24.360 --> 0:31:26.520
<v Speaker 10>took it back, and they did it slowly, but they

0:31:26.520 --> 0:31:28.720
<v Speaker 10>did take it back. I think that that's going to

0:31:28.760 --> 0:31:30.000
<v Speaker 10>be the play very slowly.

0:31:30.240 --> 0:31:32.760
<v Speaker 3>John, Thank you John Mowery with his Chief Investment Officer

0:31:32.880 --> 0:31:33.760
<v Speaker 3>NFJ there.

0:31:35.320 --> 0:31:36.240
<v Speaker 2>Stay with us.

0:31:36.280 --> 0:31:46.920
<v Speaker 3>More from Bloomberg Surveillance coming up after this.

0:31:46.920 --> 0:31:50.840
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Listen live each weekday

0:31:50.880 --> 0:31:54.160
<v Speaker 1>starting at seven am Eastern on Applecarplay and Android Auto

0:31:54.280 --> 0:31:57.280
<v Speaker 1>with the Bloomberg Business app. You can also listen live

0:31:57.320 --> 0:32:01.160
<v Speaker 1>on Amazon Alexa from our flagship New York's Just Say

0:32:01.320 --> 0:32:03.520
<v Speaker 1>Alexa play Bloomberg eleven thirty.

0:32:03.760 --> 0:32:08.240
<v Speaker 3>In two thousand and six, they found a tree which

0:32:08.280 --> 0:32:11.440
<v Speaker 3>is growing to the sky. It's out in California. It's

0:32:11.440 --> 0:32:13.280
<v Speaker 3>a redwood. It's a secret where it is. They want

0:32:13.280 --> 0:32:16.120
<v Speaker 3>to keep the idiots away from it. It's over a

0:32:16.120 --> 0:32:21.320
<v Speaker 3>football field tall, which is nuts. It's our example of

0:32:21.440 --> 0:32:26.880
<v Speaker 3>trees to the sky. Alicia Levine knows that earnings revenues

0:32:26.920 --> 0:32:30.560
<v Speaker 3>the stock market in Nvidia, it doesn't grow into the sky.

0:32:31.040 --> 0:32:34.600
<v Speaker 3>Head of Investment Strategy and Forest Wisdom at BNY Wealth

0:32:34.960 --> 0:32:38.360
<v Speaker 3>joins us this morning, how close are we to redwood

0:32:38.480 --> 0:32:40.080
<v Speaker 3>height in this stock market?

0:32:40.320 --> 0:32:43.240
<v Speaker 11>So I don't think we're at redwood height, because I

0:32:43.280 --> 0:32:46.800
<v Speaker 11>do think the earnings are delivering and coming in better

0:32:46.840 --> 0:32:49.160
<v Speaker 11>than expected. And the multiple that we're at today now

0:32:49.160 --> 0:32:50.960
<v Speaker 11>we're at twenty three times, but for most of the

0:32:51.040 --> 0:32:54.680
<v Speaker 11>year we were at twenty two times forward earnings, which

0:32:54.720 --> 0:32:57.440
<v Speaker 11>is where we were a year ago when we worried

0:32:57.520 --> 0:33:02.520
<v Speaker 11>about expensive markets. It's the earning that are driving this market.

0:33:02.840 --> 0:33:06.520
<v Speaker 11>And so I don't see redwood to the sky. I

0:33:06.720 --> 0:33:10.160
<v Speaker 11>see a very careful path upward, climbing that tree.

0:33:10.320 --> 0:33:13.360
<v Speaker 3>And now the fedor doing differential equations today, Okay, let's

0:33:13.360 --> 0:33:16.800
<v Speaker 3>look at a quadratic glide path. Sure, we're spending all

0:33:16.880 --> 0:33:21.320
<v Speaker 3>this money on CAPEX. There's another curve line which is

0:33:21.360 --> 0:33:24.320
<v Speaker 3>someday it's going to pay off as well. Where in

0:33:24.440 --> 0:33:28.240
<v Speaker 3>the X access do we learn if AI pays off?

0:33:28.640 --> 0:33:32.560
<v Speaker 3>If you've got quadratic glide pass crossing at some point.

0:33:32.840 --> 0:33:35.480
<v Speaker 11>Look, it's a great question, I would say as a

0:33:35.520 --> 0:33:38.400
<v Speaker 11>market matter, I'd say I'd say you need to have

0:33:38.520 --> 0:33:42.000
<v Speaker 11>visibility into the next eighteen to twenty four months here, right,

0:33:42.080 --> 0:33:42.760
<v Speaker 11>Like it can't.

0:33:42.600 --> 0:33:43.200
<v Speaker 6>Be five years.

0:33:43.280 --> 0:33:43.440
<v Speaker 3>Right.

0:33:43.680 --> 0:33:45.480
<v Speaker 6>If it's five years, you're.

0:33:45.320 --> 0:33:47.920
<v Speaker 11>Going to wind up with a market that's going to

0:33:48.000 --> 0:33:50.880
<v Speaker 11>reset at the top here. So I think it has

0:33:50.920 --> 0:33:53.080
<v Speaker 11>to be eighteen to twenty four months. This is how

0:33:53.080 --> 0:33:55.480
<v Speaker 11>we invest our client capital. We do twelve to eighteen

0:33:55.480 --> 0:33:59.160
<v Speaker 11>months forward. That's probably the right time horizon. That's why

0:33:59.320 --> 0:34:01.480
<v Speaker 11>we use far forward earnings on the S and P,

0:34:02.160 --> 0:34:04.680
<v Speaker 11>not the trailing. I think the trailing is irrelevant. It's

0:34:04.720 --> 0:34:07.600
<v Speaker 11>the forward. It's always looking forward. So if you have

0:34:08.280 --> 0:34:13.040
<v Speaker 11>a monetization of the cap X within the next eighteen

0:34:13.080 --> 0:34:16.800
<v Speaker 11>months or so, then the market's fine. Then you're opening.

0:34:16.920 --> 0:34:20.800
<v Speaker 3>You don't hear that in the conference calls, Yeah, Carol

0:34:20.800 --> 0:34:24.319
<v Speaker 3>on timblebeyond, like do we go down on down?

0:34:24.400 --> 0:34:26.360
<v Speaker 2>Do we go down four thousand points?

0:34:26.560 --> 0:34:29.520
<v Speaker 11>So it's no, I mean it's I don't think it's today.

0:34:30.120 --> 0:34:32.799
<v Speaker 11>I don't think it's the earnings call. It's forty eight

0:34:32.840 --> 0:34:35.879
<v Speaker 11>hours is so let's call it rich. It's a rich

0:34:35.960 --> 0:34:38.040
<v Speaker 11>forty eight hours, it can be up for two days

0:34:38.080 --> 0:34:41.240
<v Speaker 11>straight just on what could affect the markets. It's not today,

0:34:41.239 --> 0:34:43.759
<v Speaker 11>but it has to be some visibility. And as you know,

0:34:43.880 --> 0:34:46.880
<v Speaker 11>some of the companies that have actually shown to monetize

0:34:46.920 --> 0:34:50.000
<v Speaker 11>some of their investments earlier have done better than others,

0:34:50.440 --> 0:34:53.200
<v Speaker 11>and where there was a question about it. I can't

0:34:53.239 --> 0:34:56.720
<v Speaker 11>talk about specific names, but you saw the stocks languish

0:34:56.800 --> 0:35:00.080
<v Speaker 11>for a year or eighteen months because there's investment with

0:35:00.160 --> 0:35:03.080
<v Speaker 11>no payoffs. So it is very clear that there has.

0:35:02.960 --> 0:35:03.800
<v Speaker 6>To be some.

0:35:05.239 --> 0:35:06.120
<v Speaker 11>ROI here.

0:35:06.480 --> 0:35:09.120
<v Speaker 9>Coming down to the bottom line, how do you.

0:35:09.120 --> 0:35:11.239
<v Speaker 6>Think about the one Big Beautiful bill.

0:35:11.280 --> 0:35:12.600
<v Speaker 7>A lot of folks are saying that's going to be

0:35:12.600 --> 0:35:16.760
<v Speaker 7>a real driver for growth in twenty twenty six.

0:35:16.960 --> 0:35:18.880
<v Speaker 6>We're worried about tariffs in the short.

0:35:18.719 --> 0:35:20.799
<v Speaker 7>Term, but how about in twenty twenty six with some

0:35:20.880 --> 0:35:22.360
<v Speaker 7>of the legislation that has passed.

0:35:22.400 --> 0:35:26.879
<v Speaker 11>So I think it's a huge driver. It largely offset

0:35:27.640 --> 0:35:32.120
<v Speaker 11>the drags for tariffs on the corporate sector in the aggregate.

0:35:32.640 --> 0:35:37.080
<v Speaker 11>And I'm saying that slowly and clearly because not every company,

0:35:37.480 --> 0:35:41.080
<v Speaker 11>for instance, a furniture company, is going to feel the

0:35:41.120 --> 0:35:45.600
<v Speaker 11>effects of the One Big Beautiful bill. But overall, the

0:35:46.600 --> 0:35:54.120
<v Speaker 11>tax consequences and the cash flow nature of investing offsets

0:35:54.600 --> 0:35:58.640
<v Speaker 11>the drag for tariffs. It's enormous on the corporate sector,

0:35:58.680 --> 0:36:02.640
<v Speaker 11>which is this year, which is why earnings are so strong.

0:36:03.120 --> 0:36:05.840
<v Speaker 11>We don't see the effects of tariffs. And in the

0:36:05.840 --> 0:36:08.279
<v Speaker 11>first quarter of twenty twenty six you have the consumer

0:36:08.360 --> 0:36:12.400
<v Speaker 11>support coming from the tax code, so refunds from the

0:36:12.440 --> 0:36:17.040
<v Speaker 11>IRS February, March, and April. So you're supporting the lower

0:36:17.120 --> 0:36:20.200
<v Speaker 11>end of the consumer that are available to get these

0:36:20.280 --> 0:36:22.320
<v Speaker 11>refunds while you're supporting corporates.

0:36:22.360 --> 0:36:22.920
<v Speaker 9>It's huge.

0:36:23.000 --> 0:36:24.960
<v Speaker 2>Well, Paul, to me, that's the question of the day

0:36:25.000 --> 0:36:25.520
<v Speaker 2>that you asked.

0:36:25.520 --> 0:36:29.120
<v Speaker 3>I mean, to me, it's been underanalyzed. Yep, it's been

0:36:29.239 --> 0:36:32.960
<v Speaker 3>under It's not in the zeitgeist here as well. And

0:36:33.000 --> 0:36:35.359
<v Speaker 3>you just look at it as one big stimulus, I mean,

0:36:35.400 --> 0:36:37.520
<v Speaker 3>the big beautiful stimulus.

0:36:36.960 --> 0:36:40.200
<v Speaker 11>I think is I think the more important point here

0:36:40.320 --> 0:36:45.280
<v Speaker 11>is when you think about modeling this, it's been very univariable.

0:36:45.560 --> 0:36:49.160
<v Speaker 11>What are the effects of tariffs on an economy? Well,

0:36:49.160 --> 0:36:51.960
<v Speaker 11>that's fine, everything else being equal, but everything else is

0:36:52.000 --> 0:36:57.280
<v Speaker 11>not equal. It's a dynamic model. There's fiscal policy as well,

0:36:57.640 --> 0:37:01.319
<v Speaker 11>coming with the unusual trade policy for the country, and

0:37:01.480 --> 0:37:05.880
<v Speaker 11>actually it's offsetting it and encouraging capex twenty seconds.

0:37:05.920 --> 0:37:09.360
<v Speaker 3>If we get lower interest rates, there's a univariable ambiguity there.

0:37:10.080 --> 0:37:13.600
<v Speaker 3>We can have a positive construct with lower rates.

0:37:13.600 --> 0:37:15.920
<v Speaker 11>Camera absolutely, absolutely, I do.

0:37:16.000 --> 0:37:19.160
<v Speaker 3>Okay there, I'm pretty I'm just reading Forbozi here, trying

0:37:19.160 --> 0:37:19.600
<v Speaker 3>to keep up.

0:37:21.080 --> 0:37:25.440
<v Speaker 11>Look, you know we are lower rates, higher market, everything

0:37:25.440 --> 0:37:27.799
<v Speaker 11>else being equal, as long as inflation doesn't get to

0:37:27.840 --> 0:37:32.400
<v Speaker 11>four percent. Okay, so the market's accepting three. The Feds

0:37:32.440 --> 0:37:35.240
<v Speaker 11>restarted the cutting cycle at inflation at three percent.

0:37:35.560 --> 0:37:38.160
<v Speaker 3>Michael Barr's taking notes. Alicia Levine, thank you so much.

0:37:38.200 --> 0:37:40.480
<v Speaker 3>With Bny there on the lift in the market.

0:37:40.560 --> 0:37:44.839
<v Speaker 2>Let us make notes. She has said participate in equities.

0:37:45.040 --> 0:37:46.400
<v Speaker 2>She has been correct.

0:37:46.840 --> 0:37:51.680
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