WEBVTT - Banks, ChatGPT, Apple, Fox News, and Cybersecurity

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside

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<v Speaker 1>my co host Matt Miller.

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<v Speaker 2>Every business day we bring you interviews from CEOs, market pros,

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<v Speaker 2>and Bloomberg experts, along with essential market moving news.

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<v Speaker 1>Find the Bloomberg Markets Podcast on Apple Podcasts or wherever

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<v Speaker 1>you listen to podcasts, and at Bloomberg dot com slash podcast.

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<v Speaker 1>Let's bringing Alison Williams. She's the pro on this. She's

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<v Speaker 1>our senior analyst Bloomberg Intelligence covering the bank. She's also

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<v Speaker 1>the co director of America's Research for Bloomberg Intelligence. So

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<v Speaker 1>she's got a bunch of people that report to her

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<v Speaker 1>rely on her for the management of that biz.

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<v Speaker 3>So she's a busy person.

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<v Speaker 1>We appreciate getting some time here in the Bloomberg in

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<v Speaker 1>our active broker studio. Allison, let's start with Goldman Sachs here.

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<v Speaker 1>You know, from my perspective, I haven't competing against these

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<v Speaker 1>guys forever. Look at you know, really admiring the franchise.

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<v Speaker 1>There a little bit of a miss here this quarter

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<v Speaker 1>on the fix training, the fixed income, commodities and credit

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<v Speaker 1>and all that kind of stuff.

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<v Speaker 3>From your perspective, what happened so.

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<v Speaker 4>I think, you know, obviously not benefiting from some of

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<v Speaker 4>the areas of the other banks, And just to put

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<v Speaker 4>that in context, so they missed on fixed they sort

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<v Speaker 4>of made it up with equities and fees, but net

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<v Speaker 4>the other banks posted big positive surprises. They have more

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<v Speaker 4>momentum going on. Yes, Goldman probably benefited last year. Well,

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<v Speaker 4>we're pretty sure they benefited last year from commodities, which

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<v Speaker 4>is a business that they have a lot more relative

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<v Speaker 4>strength than the other peers. But the bottom line is

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<v Speaker 4>there's just less momentum in that business going forward. They

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<v Speaker 4>earn more from the other banks reporting today from that

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<v Speaker 4>business that's a negative. Bank of America is really the

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<v Speaker 4>interesting one. They've been gaining share in equities and a

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<v Speaker 4>fixed income and you know, part of that is some

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<v Speaker 4>investments that they've made, but I think they're also benefiting

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<v Speaker 4>from some of the troubles at Credit Sue. If you

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<v Speaker 4>think about where Bank of America has some of their strengths,

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<v Speaker 4>the securitization business, those spread type products, those were businesses

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<v Speaker 4>that Credit Sweez is relative strong and and much of

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<v Speaker 4>that business has sort of gone away from them, and

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<v Speaker 4>perhaps going to Bank America.

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<v Speaker 2>Is there a best fixed income trading business on the street.

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<v Speaker 2>Is there a bank that's known for its fixed income trading? Like,

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<v Speaker 2>if I have a multi billion dollar fund and I

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<v Speaker 2>want to do work with one big firm, is there

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<v Speaker 2>one I would obviously choose?

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<v Speaker 4>JP Morgan.

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<v Speaker 3>Yeah, okay, I was just oh, I would said Goldman opinion.

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<v Speaker 4>Yeah, so you're thinking, so I guess that the reason

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<v Speaker 4>why you're probably thinking more of Goldman. Goldman has you know,

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<v Speaker 4>really strength with the hedge fund customers, the asset management customers,

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<v Speaker 4>you know that that that research frequently deals with. I

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<v Speaker 4>think JP Morgan has an additional leg up with the

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<v Speaker 4>corporate UH type customers, and so I think, you know,

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<v Speaker 4>they are the biggest in that business. Goldman has made,

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<v Speaker 4>i mean some pretty remarkable market share gains in the years,

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<v Speaker 4>which again might be why you're why are I just

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<v Speaker 4>going to them? But JP Morgan is still the biggest

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<v Speaker 4>of that business.

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<v Speaker 1>So be ay, give me a sense of where they

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<v Speaker 1>stack up against the JP Morgans. I guess, against the Goldmans,

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<v Speaker 1>against the Morgan, Stanley's and some of those capital markets businesses,

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<v Speaker 1>because again the guts of Bank of America on that

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<v Speaker 1>side is Merrill Lynch. Where where are they now, you know,

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<v Speaker 1>ten years on from this this merger, so.

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<v Speaker 4>I think they've they've definitely had some fits and starts,

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<v Speaker 4>and I think if you look at their business over

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<v Speaker 4>the long term, it's it's not been it. You know,

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<v Speaker 4>it doesn't have sort of the same volatility as some

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<v Speaker 4>of the other bigger names that we're talking about, JP,

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<v Speaker 4>Morgan and Goldman. You know, they've sort of kept that

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<v Speaker 4>business relatively steady. You know, Bank of America and UBS

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<v Speaker 4>as well, just you know, tend to be sort of

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<v Speaker 4>quarter and quarter out generating sort of the same amounts

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<v Speaker 4>of revenue. But in the you know, in the last

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<v Speaker 4>couple of years, and I think you know, this has

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<v Speaker 4>also been helped by some people exiting prime brokerage, right,

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<v Speaker 4>they sort of stepped up one of their capital requirements

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<v Speaker 4>and they figured, you know, we we're going to add

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<v Speaker 4>some more balance sheet to this trading business. So they

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<v Speaker 4>invested in prime brokerage. They invested in macro, which is

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<v Speaker 4>rates and currencies. So, as I said, they're good at

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<v Speaker 4>those credit spread securitization type businesses that Credit Sweep was

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<v Speaker 4>good at, but they've made investments in the interest rate business,

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<v Speaker 4>the currency's business, like that's sort of the business that

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<v Speaker 4>we're relatively more bullish on, you know, this year and

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<v Speaker 4>the years ahead, just because we think you have all

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<v Speaker 4>these trillions of dollars still sitting on central bank balance sheets.

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<v Speaker 4>There's going to be uncertainty. There's going to be you know,

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<v Speaker 4>this is an unprecedented situation, and we think that the

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<v Speaker 4>interest rate uncertainty extends.

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<v Speaker 2>We're in for a world of volatility for well, we're

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<v Speaker 2>in it already and it's got to continue with with

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<v Speaker 2>all of those variables. In terms of the investment banking business,

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<v Speaker 2>investment banking revenue, how do they do.

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<v Speaker 4>So, you know, Goldman did a little bit better, All

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<v Speaker 4>the banks did a little bit better. But you know,

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<v Speaker 4>we're looking at twenty to twenty five percent declines and

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<v Speaker 4>calling that a win because last year we're down fifty percent.

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<v Speaker 4>But things are still weak there and you're starting to

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<v Speaker 4>see these headlines about you know, cuts in the investment

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<v Speaker 4>banking business. You know, the CEOs have the CEOs of

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<v Speaker 4>the investment banks have talked about their clients, you know,

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<v Speaker 4>still not really adjusting to the newer valuation. So you know,

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<v Speaker 4>as we know, tech has had a few good months,

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<v Speaker 4>but we're just not back to where we were, and

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<v Speaker 4>some of those companies waiting to go public may not

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<v Speaker 4>have adjusted their expectations. The other thing that the investment

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<v Speaker 4>banks CEOs have said is, look, when the FED stops

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<v Speaker 4>raising rates, we think that that could really put a

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<v Speaker 4>flood of issuance. You know, that remains to be seen

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<v Speaker 4>when that happens. Again, We're we're sort of in a

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<v Speaker 4>pretty remarkable period where Jamie Diamond's interesting right, Like they

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<v Speaker 4>talked about FED cuts are being baked into their interesting

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<v Speaker 4>income guidance. But then he said everybody should prepare for

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<v Speaker 4>higher rates for longer, and so you see that you're

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<v Speaker 4>getting those contradicting messages.

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<v Speaker 1>So, Allison, you've been following these companies for a long time.

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<v Speaker 1>You've seen management teams come and go.

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<v Speaker 3>How was the street?

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<v Speaker 1>How were investors viewing David Solomon, the chairman and cy

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<v Speaker 1>of Goldman Sex.

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<v Speaker 4>I mean, I think for Solomon it's still a little

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<v Speaker 4>bit weight. And see I know that there's you know

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<v Speaker 4>a lot of the negative press and criticism have come

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<v Speaker 4>around the consumer business. I would keep in mind that

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<v Speaker 4>even though that's that's sort of being done away with

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<v Speaker 4>under Solomon, it was really started underwind Fly. That was

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<v Speaker 4>a huge deviation for Goldman. You know, parts of that

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<v Speaker 4>business remain. You know, we're hearing a lot about this

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<v Speaker 4>new Apple product on the deposit side of things, but

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<v Speaker 4>the Marcus loans. You know, frankly, I don't think any

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<v Speaker 4>investors really ever believed in that business. I always thought

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<v Speaker 4>the strategy was sort of like a me too from

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<v Speaker 4>like the nineties.

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<v Speaker 2>I'm going to say I like that strategy. I know you,

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<v Speaker 2>I know you have hated it forever, and Paul also

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<v Speaker 2>has never understood the consumer. To me, it's just high

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<v Speaker 2>end super luxury if you're doing your banking with Golden.

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<v Speaker 4>But it's not going but it's it's the it's the

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<v Speaker 4>strategy with which they went after these loans, which was

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<v Speaker 4>competing on price. Well they failed, so I was the

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<v Speaker 4>loan book, right, So they're still trying to go after

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<v Speaker 4>those deposits. Yeah, they're trying to go after it with

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<v Speaker 4>using the Apple premium brand.

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<v Speaker 5>You know.

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<v Speaker 4>They they're going after CDs with premium pricing in their market.

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<v Speaker 1>And they always had this, not not the loans, and

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<v Speaker 1>they always had and they still have. But one of

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<v Speaker 1>their real selling points for decades has been you sell

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<v Speaker 1>your company a will advise you take the fee there

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<v Speaker 1>and then when you have that the proceeds in your pocket. Oh,

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<v Speaker 1>let me introduce you to my private wealth manager in Dallas,

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<v Speaker 1>Texas or in San Francisco, and he'll he or she

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<v Speaker 1>will help you manage this money.

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<v Speaker 3>We'll make fees there too. So they've always had that.

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<v Speaker 3>But Marcus was more.

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<v Speaker 4>Marcus was more, you know, let's broaden out. Let's broaden

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<v Speaker 4>out the net, right, like, are we leaving all this

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<v Speaker 4>white space behind? And you know, let's try to do

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<v Speaker 4>a few different things there. You know, as we as

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<v Speaker 4>we just discussed the deposits, I think is interesting and

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<v Speaker 4>getting getting those customers in the door. But the credit

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<v Speaker 4>card lending strategy was really like a price a pricing strategy,

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<v Speaker 4>and that's you know, I don't know any bank where

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<v Speaker 4>it's one over the long term.

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<v Speaker 1>Eventually that all right, Morgan Stanley, before the open tomorrow

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<v Speaker 1>is up what we have?

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<v Speaker 4>So Morgan Stanley, Uh, people I think are going to

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<v Speaker 4>be listening. I'm going to be listening to find out.

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<v Speaker 4>You know, Andy c left Merrill. He's going over to

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<v Speaker 4>City to be the head of their global wealth management.

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<v Speaker 4>Is there going to be more competition in the us

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<v Speaker 4>keeping mind, Morgan Stanley bought that's you know, Smith Barty business.

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<v Speaker 4>They're a wealth powerhouse. Part of that came from city

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<v Speaker 4>a long time ago. Equities trading, you know, has been

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<v Speaker 4>generally been disappoint So that's not great for a city.

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<v Speaker 4>I mean, that's not great for Morgan Stanley. Excuse me.

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<v Speaker 4>We'll see how their fixed income holds up, all right, and.

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<v Speaker 2>We'll see if anyone else says, you know, AI can

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<v Speaker 2>reduce headcamps.

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<v Speaker 3>Yes exactly. We like that because that was a good

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<v Speaker 3>line from mois the morning Hand.

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<v Speaker 1>Yeah, morning Hand on Top Live. So that was you know,

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<v Speaker 1>if you're you know, working on wall streets, I think,

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<v Speaker 1>oh great, now I got another. I gotta worry about

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<v Speaker 1>these stupid machines taking over my job. All right, Allison Williams,

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<v Speaker 1>as always, thank you so much for finding a few

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<v Speaker 1>minutes in your busy scheduled to come in and get

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<v Speaker 1>us up to date on some of these numbers coming

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<v Speaker 1>out of Bank of America and Goldman Sachs. A little

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<v Speaker 1>bit of a miss for Goldman Sacks. It doesn't happen

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<v Speaker 1>very often, but so the stock's off just a little

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<v Speaker 1>bit here. But we'll continue with these big banks, big

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<v Speaker 1>investment banks reporting. We've got Morgan Stanley tomorrow before the

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<v Speaker 1>open and Alison will be all over that and her team.

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<v Speaker 6>You're listening to the team.

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<v Speaker 5>Can's are live program Bloomberg Markets weekdays at ten am

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<v Speaker 5>Eastern on Bloomberg dot Com, the iHeartRadio app and the

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<v Speaker 5>Bloomberg Business App, or listen on demand wherever you get

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<v Speaker 5>your podcast.

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<v Speaker 1>If you're Fox, Fox Communications, Fox Corporation, Rupert Murdock all

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<v Speaker 1>the Fox Network, You're in a little bit of a

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<v Speaker 1>legal suit here with dominion voting systems and the potential

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<v Speaker 1>risks there are pretty material, so believe it or not,

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<v Speaker 1>Bloomberg Intelligence has a bunch of litigation analysts for just

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<v Speaker 1>this type of analysis. Matt Sheltenham joins as Caesar, senior

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<v Speaker 1>Litigation analyst at Bloomberg Intelligence, and I happen to know

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<v Speaker 1>that he is in Vegas as we speak at the

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<v Speaker 1>National Association of Broadcasters conference. It's my first question, Matt,

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<v Speaker 1>most important, and this is important, so get it right.

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<v Speaker 3>Where are you staying?

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<v Speaker 7>I am at the Aria Hotel Nice.

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<v Speaker 3>All right, that's new school, that's new school, very good.

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<v Speaker 1>I'm a Bellagio guy, so you know, go to the

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<v Speaker 1>high rollers crafts table.

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<v Speaker 2>Where do they have the the fake Paris and the

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<v Speaker 2>Venice Yeah, and all that stuff that's.

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<v Speaker 3>Right there on the strip. Oh I thought it was

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<v Speaker 3>Paris the hotel. No, Paris is the hotel? Oh I see?

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<v Speaker 5>Yeah?

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<v Speaker 1>And the Venetian is that and they are both awesome properties.

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<v Speaker 1>All right, Matt, talk to us about Fox and Dominion

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<v Speaker 1>voting Systems. What is the lawsuit and where are we now?

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<v Speaker 7>Yeah, so we're at the very beginning of this, this

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<v Speaker 7>lawsuit heading to trial. Now, this is a suit about

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<v Speaker 7>Fox's election coverage over about a month from November into

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<v Speaker 7>December after the election, when Dominion's name kept coming up

0:11:25.160 --> 0:11:30.240
<v Speaker 7>in interviews that that Fox held and Dominions this voting

0:11:30.280 --> 0:11:34.520
<v Speaker 7>software company. Its software was used in about thirty states

0:11:34.600 --> 0:11:37.920
<v Speaker 7>during the election, and a number of allegations were made

0:11:38.120 --> 0:11:41.720
<v Speaker 7>suggesting that Dominion had had kind of rigged the election.

0:11:42.360 --> 0:11:45.680
<v Speaker 7>And so now this is a defamation claim brought against

0:11:45.760 --> 0:11:49.280
<v Speaker 7>Fox News claiming that you basically have wiped out our

0:11:49.400 --> 0:11:52.960
<v Speaker 7>business by these false statements that you made. And it

0:11:53.120 --> 0:11:56.200
<v Speaker 7>seeks initially they saw one point six billion dollars in

0:11:56.240 --> 0:11:58.240
<v Speaker 7>their complaint. I think that's come down a little bit

0:11:58.679 --> 0:12:02.960
<v Speaker 7>but it's a big, big deal, a serious financial threat

0:12:03.040 --> 0:12:03.840
<v Speaker 7>to the box.

0:12:04.520 --> 0:12:06.640
<v Speaker 2>Why one point said, you know, when I sue somebody,

0:12:06.720 --> 0:12:09.280
<v Speaker 2>typically it's for a million or so. Oh yeah, how

0:12:09.320 --> 0:12:12.000
<v Speaker 2>do they get to one point six billion dollars?

0:12:12.360 --> 0:12:14.880
<v Speaker 7>Yeah? So I think that's that's one of the most

0:12:14.920 --> 0:12:18.760
<v Speaker 7>important things to watch going forward, is how credible is

0:12:18.880 --> 0:12:22.480
<v Speaker 7>that number? Is that damage's number? And so they put

0:12:22.520 --> 0:12:24.720
<v Speaker 7>one point six billion in their complaint, and as I said,

0:12:24.720 --> 0:12:26.520
<v Speaker 7>I think it's come down a little bit. What they're

0:12:26.520 --> 0:12:30.280
<v Speaker 7>looking at is one, what is our lost profits because

0:12:30.280 --> 0:12:33.280
<v Speaker 7>of this? And two what is our lost value as

0:12:33.320 --> 0:12:36.440
<v Speaker 7>an enterprise? And I think it's that second category that's

0:12:36.440 --> 0:12:38.559
<v Speaker 7>going to be the focus here. They have an expert

0:12:38.600 --> 0:12:41.120
<v Speaker 7>who comes in that says, when we look at our

0:12:41.480 --> 0:12:44.520
<v Speaker 7>value as an enterprise over the next ten years, and

0:12:44.880 --> 0:12:48.080
<v Speaker 7>we're basically so damaged as a business that you've wiped

0:12:48.160 --> 0:12:50.679
<v Speaker 7>us out, we value that is at about nine hundred

0:12:50.720 --> 0:12:54.200
<v Speaker 7>and twenty million dollars. Now Fox comes back and says,

0:12:54.480 --> 0:12:59.120
<v Speaker 7>that's crazy. You you independently were valued as a company

0:12:59.440 --> 0:13:02.720
<v Speaker 7>in twenty two for about three hundred million dollars and

0:13:02.800 --> 0:13:06.280
<v Speaker 7>your business is actually doing better after the election. So

0:13:06.360 --> 0:13:09.920
<v Speaker 7>I think I think dominion has a strong case about defamation.

0:13:10.240 --> 0:13:12.600
<v Speaker 7>I don't know that it has a real strong case

0:13:12.640 --> 0:13:16.120
<v Speaker 7>to get to that billion dollar figure. But one other

0:13:16.200 --> 0:13:19.800
<v Speaker 7>footnote on that, though punitive damages are also in play here,

0:13:19.840 --> 0:13:22.720
<v Speaker 7>the judge refused to take them off the table, and

0:13:22.760 --> 0:13:26.359
<v Speaker 7>so it's not just that direct harm to the business.

0:13:26.640 --> 0:13:30.080
<v Speaker 7>The jury has the ability to come in and effectively

0:13:30.160 --> 0:13:34.360
<v Speaker 7>punish Fox. And sometimes punitive damages can go as much

0:13:34.360 --> 0:13:38.440
<v Speaker 7>as five times the economic damages. So that's where you

0:13:38.600 --> 0:13:41.000
<v Speaker 7>really get to big deal numbers.

0:13:41.080 --> 0:13:41.679
<v Speaker 3>It gets you there.

0:13:42.000 --> 0:13:44.600
<v Speaker 1>Yes, hey, Matt, if I'm Fox, why can I just

0:13:44.600 --> 0:13:45.959
<v Speaker 1>claim First Amendment protection?

0:13:46.880 --> 0:13:48.880
<v Speaker 7>Yeah, So that's what they've been doing. And they brought

0:13:48.920 --> 0:13:52.640
<v Speaker 7>in Paul Clement, you know, the noted First Amendment Supreme

0:13:52.679 --> 0:13:56.080
<v Speaker 7>Court lawyer, to defend them here, and and they tried

0:13:56.120 --> 0:13:59.800
<v Speaker 7>that defense, but the court has mostly shot it down.

0:14:00.040 --> 0:14:03.319
<v Speaker 7>That Fox, you know, Fox makes the First Amendment argument.

0:14:03.400 --> 0:14:06.320
<v Speaker 7>This was the most important story of the day. The

0:14:06.360 --> 0:14:09.040
<v Speaker 7>President of the United States is saying that the election

0:14:09.320 --> 0:14:12.160
<v Speaker 7>was rigged. How can we not report on that? And

0:14:12.160 --> 0:14:17.000
<v Speaker 7>and and so. But but the problem is there is real, no,

0:14:17.280 --> 0:14:20.840
<v Speaker 7>there really is no defense in in in in the

0:14:20.880 --> 0:14:25.240
<v Speaker 7>First Amendment that lets you air allegations that you know

0:14:25.480 --> 0:14:28.560
<v Speaker 7>to be false or that you strongly believe to be false,

0:14:29.160 --> 0:14:31.760
<v Speaker 7>and and so the so that the judge so far

0:14:31.840 --> 0:14:33.600
<v Speaker 7>is pretty much said, now, we're not going.

0:14:33.600 --> 0:14:34.200
<v Speaker 6>To go there.

0:14:34.480 --> 0:14:37.560
<v Speaker 7>I already have decided these are false statements that you made.

0:14:37.920 --> 0:14:40.720
<v Speaker 7>And so the only question in this trial now isn't

0:14:40.720 --> 0:14:44.080
<v Speaker 7>the First Amendment. It's it's it's whether you knew they

0:14:44.120 --> 0:14:47.040
<v Speaker 7>were false or whether you had a high probability to

0:14:47.280 --> 0:14:48.360
<v Speaker 7>believe they were false.

0:14:48.480 --> 0:14:51.360
<v Speaker 2>If television news can't make stuff up anymore than where

0:14:51.400 --> 0:14:52.480
<v Speaker 2>are we as a country?

0:14:53.360 --> 0:14:55.520
<v Speaker 3>Well, the first Amendment was for like mistakes.

0:14:55.520 --> 0:14:55.880
<v Speaker 5>You know that.

0:14:56.000 --> 0:14:57.880
<v Speaker 2>The The issue for me is do we get to

0:14:57.880 --> 0:15:02.040
<v Speaker 2>see Rupert Murdoch, Do we get to see Alan John Hannity,

0:15:02.040 --> 0:15:05.360
<v Speaker 2>Do we get to see Sean Hannity and Tucker Carlson testify.

0:15:05.520 --> 0:15:09.720
<v Speaker 2>We've already seen some of their you know, SMS text

0:15:09.760 --> 0:15:12.640
<v Speaker 2>messages and it didn't look good, right.

0:15:12.680 --> 0:15:16.160
<v Speaker 7>Absolutely, And I think that right now, you know, I

0:15:16.200 --> 0:15:18.760
<v Speaker 7>still think a settlement is a pretty good bet over

0:15:18.800 --> 0:15:21.680
<v Speaker 7>the next couple of months before a jury actually announces

0:15:21.720 --> 0:15:24.480
<v Speaker 7>its decision. But I wouldn't be at all surprised to

0:15:24.480 --> 0:15:28.000
<v Speaker 7>see this trial advance pretty far. So I think it's

0:15:28.040 --> 0:15:30.680
<v Speaker 7>more likely than not you are going to see those

0:15:30.720 --> 0:15:33.320
<v Speaker 7>witnesses called to the stand. And I think Rupert Rupert

0:15:33.400 --> 0:15:36.600
<v Speaker 7>Murdoch is pretty early on the list, potentially in the

0:15:36.600 --> 0:15:37.680
<v Speaker 7>next couple of days.

0:15:37.920 --> 0:15:39.920
<v Speaker 3>All Right, Matt, thank you so much for joining us.

0:15:40.240 --> 0:15:43.760
<v Speaker 1>Matt Sheltenham, he's a senior litigation analysts Bloomberg Intelligence.

0:15:43.760 --> 0:15:44.440
<v Speaker 3>He's in Vegas.

0:15:44.480 --> 0:15:46.560
<v Speaker 1>Matt, make sure you go over to the high end

0:15:46.560 --> 0:15:48.160
<v Speaker 1>crafts table Blajo use my name.

0:15:48.160 --> 0:15:49.280
<v Speaker 3>They'll take care of you over there.

0:15:49.320 --> 0:15:51.840
<v Speaker 1>So Matt Sheltenham, he covers all that in litigation stuff

0:15:51.880 --> 0:15:54.440
<v Speaker 1>for Bloomberg Intelligence, so it's great to get his informed

0:15:54.520 --> 0:15:56.560
<v Speaker 1>legal opinion when you get some of these big legal

0:15:56.640 --> 0:15:58.960
<v Speaker 1>cases surrounding certain companies.

0:15:59.280 --> 0:16:02.359
<v Speaker 5>You're listening to the tape Cat's are live program Bloomberg

0:16:02.440 --> 0:16:06.000
<v Speaker 5>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:16:06.080 --> 0:16:08.040
<v Speaker 5>tune it app, Bloomberg dot Com, and.

0:16:08.000 --> 0:16:09.320
<v Speaker 6>The Bloomberg Business App.

0:16:09.360 --> 0:16:12.160
<v Speaker 5>You can also listen live on Amazon Alexa from our

0:16:12.200 --> 0:16:17.160
<v Speaker 5>flagship New York station. Just say Alexa play Bloomberg eleven thirty.

0:16:19.080 --> 0:16:21.480
<v Speaker 1>Let's turn to real estate, commercial real estate, and when

0:16:21.480 --> 0:16:23.480
<v Speaker 1>you want to do that, because you know people aren't

0:16:23.480 --> 0:16:25.480
<v Speaker 1>coming back to the office. That's how it is, particularly

0:16:25.480 --> 0:16:27.720
<v Speaker 1>here in Midtown Manhattan, but maybe it's different in other

0:16:27.760 --> 0:16:29.920
<v Speaker 1>parts of the world. But Jeff Langbound joins us. He's

0:16:29.920 --> 0:16:32.800
<v Speaker 1>a senior reat analyst with Bloomberg Intelligence. Jeff, talk to

0:16:32.880 --> 0:16:35.240
<v Speaker 1>us about I'd love to get your view on commercial

0:16:35.280 --> 0:16:38.560
<v Speaker 1>real estate, office real estate in particular, how do you

0:16:38.640 --> 0:16:42.040
<v Speaker 1>think office real estate is going to evolve in this country,

0:16:42.160 --> 0:16:44.240
<v Speaker 1>you know, over the next several years, because boy, it's

0:16:44.320 --> 0:16:45.840
<v Speaker 1>changed since pre pandemic levels.

0:16:46.280 --> 0:16:46.480
<v Speaker 6>Yeah.

0:16:46.600 --> 0:16:48.600
<v Speaker 8>Right, Well, first I want to say that nobody may

0:16:48.600 --> 0:16:51.920
<v Speaker 8>be buying equities broadly, but definitely nobody's buying reads right now.

0:16:52.080 --> 0:16:55.040
<v Speaker 8>So that's that's something we're definitely keeping an eye on.

0:16:55.800 --> 0:16:59.520
<v Speaker 8>So the office is definitely a very different environment than

0:16:59.560 --> 0:17:04.280
<v Speaker 8>it was pre pandemic, and right now we are in

0:17:04.359 --> 0:17:07.080
<v Speaker 8>a very long kind of figure it out period. I

0:17:07.080 --> 0:17:09.199
<v Speaker 8>think where we're going to figure we're going to have

0:17:09.200 --> 0:17:14.120
<v Speaker 8>to see how much how much space tenants need, if any,

0:17:14.560 --> 0:17:16.439
<v Speaker 8>We're going to have to figure out what properties are

0:17:16.480 --> 0:17:18.600
<v Speaker 8>actually worth, and then we're gonna have to figure out

0:17:18.840 --> 0:17:22.920
<v Speaker 8>what can be refinanced once mortgages start coming due. So

0:17:22.960 --> 0:17:24.920
<v Speaker 8>it's going to be a long period of time where

0:17:24.960 --> 0:17:26.680
<v Speaker 8>we have to figure out what the office environment is

0:17:26.680 --> 0:17:27.239
<v Speaker 8>going to look like.

0:17:27.680 --> 0:17:33.280
<v Speaker 2>What does the I mean I'm assuming everybody refinanced at

0:17:33.680 --> 0:17:37.440
<v Speaker 2>near zero when they could. So when does that wall

0:17:37.480 --> 0:17:41.600
<v Speaker 2>of debt? When's the first wall come due for maturities?

0:17:42.080 --> 0:17:46.480
<v Speaker 8>It's starting, it's it's this year. You know, there's there's

0:17:46.760 --> 0:17:50.280
<v Speaker 8>a big chunk, big chunk coming of debt that was

0:17:50.920 --> 0:17:55.440
<v Speaker 8>issued in the twenty eighteen timeframe. And like you said,

0:17:55.440 --> 0:17:58.760
<v Speaker 8>not only are interest rates at lows, but asset values

0:17:58.760 --> 0:18:00.960
<v Speaker 8>were at highs and cash flow. You know, everyone was

0:18:01.000 --> 0:18:05.440
<v Speaker 8>projecting continuous rise and cash flows. So you have loan

0:18:05.520 --> 0:18:07.680
<v Speaker 8>to values that you know are going to be elevated

0:18:08.080 --> 0:18:10.840
<v Speaker 8>if you start marking values down. You have interest rates

0:18:10.840 --> 0:18:12.679
<v Speaker 8>that you know, if it was floating debt has already

0:18:12.760 --> 0:18:15.280
<v Speaker 8>risen and it's starting to present a problem. If it's

0:18:15.280 --> 0:18:17.200
<v Speaker 8>not floating debt, then the refi is going to present

0:18:17.240 --> 0:18:20.440
<v Speaker 8>a problem. So you know, but like I said, it's

0:18:20.480 --> 0:18:23.040
<v Speaker 8>going to be a long term process to figure out

0:18:23.040 --> 0:18:26.520
<v Speaker 8>how this is going to work because lenders don't want

0:18:26.560 --> 0:18:31.200
<v Speaker 8>to take over office buildings that are you know, difficult

0:18:31.200 --> 0:18:36.280
<v Speaker 8>to operate in this environment, and so landlords or borrowers

0:18:36.280 --> 0:18:38.480
<v Speaker 8>are you know, kind of trying to figure out what

0:18:38.520 --> 0:18:41.959
<v Speaker 8>they can can negotiate in order to get properties refinanced.

0:18:42.400 --> 0:18:46.760
<v Speaker 1>So I'm just looking at the Bloomberg Property Reate Office

0:18:46.760 --> 0:18:50.280
<v Speaker 1>Property Index. It peaked in October of twenty twenty, and

0:18:50.320 --> 0:18:53.000
<v Speaker 1>it's now down sixty percent sixty zero percent from that

0:18:53.040 --> 0:18:57.760
<v Speaker 1>peak in February of twenty twenty. And Jeff, I don't

0:18:57.760 --> 0:18:59.439
<v Speaker 1>even feel like I can go in and buy the

0:18:59.480 --> 0:19:02.280
<v Speaker 1>bottom here because, like you mentioned, A, I don't know

0:19:02.480 --> 0:19:04.080
<v Speaker 1>don't know what my cash flows are going to because

0:19:04.080 --> 0:19:07.880
<v Speaker 1>I don't know how much space my tenants are really

0:19:07.880 --> 0:19:09.840
<v Speaker 1>going to need longer term, and too, I don't think

0:19:09.840 --> 0:19:10.520
<v Speaker 1>I can finance it.

0:19:10.520 --> 0:19:11.080
<v Speaker 3>At these rates.

0:19:11.080 --> 0:19:14.679
<v Speaker 1>So, I mean, I don't see is this is this

0:19:14.840 --> 0:19:16.560
<v Speaker 1>just the new normal and everybody's got to adjust.

0:19:17.680 --> 0:19:20.280
<v Speaker 8>No, I don't think so. I think it's a little

0:19:20.280 --> 0:19:21.320
<v Speaker 8>bit more nuanced than that.

0:19:21.840 --> 0:19:22.040
<v Speaker 6>You know.

0:19:22.240 --> 0:19:26.159
<v Speaker 8>So, the first wave of declining prices was you know, speculation,

0:19:26.920 --> 0:19:29.359
<v Speaker 8>declining prices in the office rate Index and in the

0:19:29.400 --> 0:19:33.160
<v Speaker 8>shares themselves was you know, speculation over how much property

0:19:33.240 --> 0:19:37.200
<v Speaker 8>values were actually falling. You've gotten some pressure recently as

0:19:37.240 --> 0:19:40.040
<v Speaker 8>the banks have started to struggle, where you know, there's

0:19:40.119 --> 0:19:42.800
<v Speaker 8>real concern over the over the financing, But I don't

0:19:42.840 --> 0:19:46.520
<v Speaker 8>think that it's a catch all for every property and

0:19:46.640 --> 0:19:50.320
<v Speaker 8>every owner of properties. There's going to be a differentiation

0:19:50.440 --> 0:19:54.240
<v Speaker 8>between quality. The owners of better quality assets are going

0:19:54.280 --> 0:19:57.359
<v Speaker 8>to be able to attract tenants, uh, and the lower

0:19:57.400 --> 0:19:59.880
<v Speaker 8>quality assets are going to need to find some alter

0:20:00.440 --> 0:20:03.200
<v Speaker 8>use as a polite way of saying, they are obsolete

0:20:03.240 --> 0:20:05.880
<v Speaker 8>as office buildings. And it's going to take some time

0:20:05.920 --> 0:20:09.000
<v Speaker 8>for that to get worked out. And so you know,

0:20:09.040 --> 0:20:10.919
<v Speaker 8>you may not want to buy the entire index, but

0:20:10.920 --> 0:20:15.280
<v Speaker 8>there may be some names that have over corrected to

0:20:16.960 --> 0:20:18.359
<v Speaker 8>figure out where the values actually are.

0:20:18.480 --> 0:20:19.560
<v Speaker 3>Right, amazing stuff.

0:20:19.560 --> 0:20:21.159
<v Speaker 1>We're gonna next time you're in New York, Jeff, let

0:20:21.240 --> 0:20:22.399
<v Speaker 1>us know we're gonna get you in the studio here

0:20:22.440 --> 0:20:25.480
<v Speaker 1>Jeff Langbaum Senior read analys for Bloomberg Intelligence, given the

0:20:25.560 --> 0:20:29.000
<v Speaker 1>latest on this property index property market out there.

0:20:29.800 --> 0:20:33.640
<v Speaker 5>You're listening to the team Can't Live program Bloomberg Markets

0:20:33.680 --> 0:20:36.760
<v Speaker 5>weekdays at ten am Eastern on Bloomberg dot Com, the

0:20:36.880 --> 0:20:40.080
<v Speaker 5>iHeartRadio app, and the Bloomberg Business App, or listen.

0:20:39.920 --> 0:20:42.040
<v Speaker 6>On demand wherever you get your podcasts.

0:20:44.320 --> 0:20:48.240
<v Speaker 1>Tesla's got some earnings coming up, and that's always something

0:20:48.440 --> 0:20:49.280
<v Speaker 1>to pay attention to.

0:20:49.400 --> 0:20:52.879
<v Speaker 3>A if you're Tesla shareholder or creditor. But this is

0:20:52.880 --> 0:20:56.720
<v Speaker 3>if you're interested in this whole ev issue. Transition from that.

0:20:56.840 --> 0:20:59.560
<v Speaker 1>I know Matt all Over, but Joe Levington Joints us

0:20:59.560 --> 0:21:02.119
<v Speaker 1>he's a direct or Credit Research of Bloomberg Intelligency Joints.

0:21:02.119 --> 0:21:05.400
<v Speaker 1>Here in our Bloomberg Interactive Broker Studio, Joe, you cover

0:21:05.560 --> 0:21:10.000
<v Speaker 1>the debt of Tesla. What's the what's your view of

0:21:10.080 --> 0:21:13.040
<v Speaker 1>kind of how the company's evolving here from you know,

0:21:13.119 --> 0:21:15.879
<v Speaker 1>you've been following this company since the beginning. How do

0:21:15.920 --> 0:21:17.280
<v Speaker 1>you view kind of where they are right now and

0:21:17.359 --> 0:21:18.560
<v Speaker 1>kind of what their growth plans are?

0:21:18.880 --> 0:21:21.520
<v Speaker 9>Sure Apoulo, Yeah, they really moved from the hunter to

0:21:21.640 --> 0:21:24.800
<v Speaker 9>the hunt ad at this point. And really for them,

0:21:24.920 --> 0:21:27.480
<v Speaker 9>they have a couple of strategic weapons that others don't.

0:21:28.000 --> 0:21:30.440
<v Speaker 9>One is a dominant cost position. You know, if you

0:21:30.480 --> 0:21:32.720
<v Speaker 9>think about their profitability, they're going to have about fourteen

0:21:32.760 --> 0:21:35.600
<v Speaker 9>percent margins this year. If you look at their peer group,

0:21:35.640 --> 0:21:38.120
<v Speaker 9>it's about eight percent. And so they can use that

0:21:38.280 --> 0:21:41.800
<v Speaker 9>in terms of pricing, and you're seeing them cut prices aggressively.

0:21:41.840 --> 0:21:44.040
<v Speaker 9>Some say it's because there's no demand, That's.

0:21:43.880 --> 0:21:44.560
<v Speaker 3>What I say.

0:21:44.640 --> 0:21:46.480
<v Speaker 1>But you're saying, but the other the bull case is

0:21:46.520 --> 0:21:49.800
<v Speaker 1>it's from Hey, it's a position of strength. They've got

0:21:49.800 --> 0:21:52.560
<v Speaker 1>the margin and they can drive market share and that's good.

0:21:52.720 --> 0:21:52.960
<v Speaker 6>Yeah.

0:21:53.000 --> 0:21:55.560
<v Speaker 9>I mean at the end of the day, whether you

0:21:55.600 --> 0:21:57.399
<v Speaker 9>know it might be the looking at the at the

0:21:57.400 --> 0:22:00.440
<v Speaker 9>same picture just slightly differently, the fact is that the

0:22:00.480 --> 0:22:03.000
<v Speaker 9>grow thirty eight percent, right, and your peers are growing

0:22:03.000 --> 0:22:03.919
<v Speaker 9>three or four percent.

0:22:04.040 --> 0:22:05.000
<v Speaker 10>So whether you're say in.

0:22:05.080 --> 0:22:07.159
<v Speaker 2>Terms of what top line sales, yeah.

0:22:07.040 --> 0:22:09.600
<v Speaker 9>So you know, like one can say, hey, there there's

0:22:09.640 --> 0:22:12.280
<v Speaker 9>not enough demand to hit their fifty percent, but relative

0:22:12.320 --> 0:22:15.000
<v Speaker 9>to peers, they're blowing them away, and they have the

0:22:15.040 --> 0:22:19.840
<v Speaker 9>ability to use that and scale on their margins and

0:22:19.920 --> 0:22:23.000
<v Speaker 9>still gain share at the same time. So whether you

0:22:23.040 --> 0:22:25.159
<v Speaker 9>look at it as hey, they're missing their fifty percent

0:22:25.359 --> 0:22:28.400
<v Speaker 9>or hey, they're you know, doing much better than their peers,

0:22:28.640 --> 0:22:31.440
<v Speaker 9>it's going in the right direction for them, certainly from

0:22:31.440 --> 0:22:34.280
<v Speaker 9>a credit perspective, and because it has been that way,

0:22:34.560 --> 0:22:37.439
<v Speaker 9>their balance sheet has a huge amount of cash and

0:22:37.520 --> 0:22:39.440
<v Speaker 9>very little debt at this point, so they can continue

0:22:39.480 --> 0:22:39.880
<v Speaker 9>to do that.

0:22:40.320 --> 0:22:44.360
<v Speaker 2>I saw I saw a funny headline this morning Mercedes

0:22:45.040 --> 0:22:47.760
<v Speaker 2>Benz aims to double EV sales this year, and at

0:22:47.760 --> 0:22:48.280
<v Speaker 2>first I.

0:22:48.200 --> 0:22:50.359
<v Speaker 3>Was like, wow, that's a big deal. But if you

0:22:50.440 --> 0:22:53.960
<v Speaker 3>only sold like twenty five evs last year, it's not

0:22:54.040 --> 0:22:54.680
<v Speaker 3>that difficult.

0:22:54.760 --> 0:22:57.080
<v Speaker 2>Now Tesla were to double ev sales, that would be

0:22:57.119 --> 0:23:01.480
<v Speaker 2>a major feat because what they're selling like, well, well,

0:23:01.520 --> 0:23:03.000
<v Speaker 2>over a million cars a year.

0:23:03.040 --> 0:23:04.359
<v Speaker 10>Now, that's totally right.

0:23:04.440 --> 0:23:06.560
<v Speaker 9>And you know, you could go back and forth on

0:23:06.600 --> 0:23:09.399
<v Speaker 9>whether fifty percent growth a year is doable or not.

0:23:09.840 --> 0:23:12.159
<v Speaker 10>To me, that sounds like a very very aggressive scale.

0:23:12.520 --> 0:23:13.840
<v Speaker 10>But what it's really telling you.

0:23:13.920 --> 0:23:16.159
<v Speaker 2>Except for when you tell me that they have thirty

0:23:16.200 --> 0:23:19.640
<v Speaker 2>eight percent growth and fourteen percent margins, I instantly think,

0:23:19.680 --> 0:23:23.240
<v Speaker 2>well they could have margins and boost that to over

0:23:23.280 --> 0:23:25.560
<v Speaker 2>fifty no problama for sure more.

0:23:26.440 --> 0:23:28.080
<v Speaker 9>And I will tell you, Matt, like the real thing

0:23:28.119 --> 0:23:31.480
<v Speaker 9>for them is kind of becoming the Toyota evs, meaning

0:23:31.800 --> 0:23:34.000
<v Speaker 9>as you move your price point down, the amount of

0:23:34.080 --> 0:23:37.960
<v Speaker 9>consumers that can afford your vehicles grows very, very significantly.

0:23:38.359 --> 0:23:40.320
<v Speaker 9>And that's really where they're going is to become the

0:23:40.359 --> 0:23:43.680
<v Speaker 9>affordable car, which was really you know, like master planned

0:23:43.720 --> 0:23:45.560
<v Speaker 9>part one from Tesla.

0:23:46.440 --> 0:23:50.840
<v Speaker 1>So the balance sheet, how does the credit market view Tesla?

0:23:50.920 --> 0:23:53.600
<v Speaker 1>I mean, if they wanted to go raise more capital,

0:23:53.640 --> 0:23:55.880
<v Speaker 1>could they do that at a reasonable rate?

0:23:55.960 --> 0:23:56.800
<v Speaker 10>Spread oh, one.

0:23:56.720 --> 0:24:00.680
<v Speaker 9>Hundred percent, when you know, it's amazing that in twenty

0:24:00.760 --> 0:24:04.240
<v Speaker 9>eighteen Elon Musk is talking about being in manufacturing hell

0:24:04.680 --> 0:24:07.520
<v Speaker 9>and just trying to survive. Today, they have over twenty

0:24:07.520 --> 0:24:10.600
<v Speaker 9>two billion dollars of cash on hand, They've been upgraded

0:24:10.640 --> 0:24:12.560
<v Speaker 9>seven times in the last two and a half years.

0:24:12.600 --> 0:24:15.080
<v Speaker 9>I've never seen that happen for another automobial company.

0:24:15.119 --> 0:24:17.719
<v Speaker 1>And look at the north of twenty percent ebitdam margins.

0:24:17.760 --> 0:24:20.240
<v Speaker 1>I mean, that's I could lend against that exactly.

0:24:20.320 --> 0:24:22.399
<v Speaker 9>So you know, like right now, you could probably do

0:24:22.440 --> 0:24:24.840
<v Speaker 9>a green bond for ten years at under four and

0:24:24.840 --> 0:24:27.639
<v Speaker 9>a half percent, so really a very.

0:24:27.520 --> 0:24:28.400
<v Speaker 10>Cost efficient way.

0:24:28.400 --> 0:24:30.720
<v Speaker 9>If they wanted to, say, build out a captive finance unit,

0:24:30.800 --> 0:24:34.040
<v Speaker 9>which a lot of auto companies do as another revenue stream.

0:24:34.200 --> 0:24:38.960
<v Speaker 2>Does it matter that they've had I mean, you're a

0:24:38.960 --> 0:24:41.720
<v Speaker 2>credit guy, but Paul and I are too dumb and

0:24:41.760 --> 0:24:45.280
<v Speaker 2>we just focus on the stock. So they had a

0:24:45.440 --> 0:24:49.120
<v Speaker 2>drop in market cap from like one point two trillion

0:24:49.200 --> 0:24:52.000
<v Speaker 2>down to six hundred billion, which sounds like, well, that's

0:24:52.160 --> 0:24:55.800
<v Speaker 2>that's a horrible wipeout, But to be fair, you know,

0:24:55.840 --> 0:24:58.080
<v Speaker 2>they're just back where they were two years ago. So

0:24:58.080 --> 0:25:01.320
<v Speaker 2>they had an incredible climb during the pandem and then

0:25:01.359 --> 0:25:04.280
<v Speaker 2>a drop back to normal levels.

0:25:04.359 --> 0:25:06.480
<v Speaker 3>There's still a behemoth, oh for sure.

0:25:06.480 --> 0:25:09.399
<v Speaker 9>And keep in mind how rates have extended during that

0:25:09.440 --> 0:25:14.080
<v Speaker 9>period two and for companies that are long Greasian cash

0:25:14.119 --> 0:25:16.280
<v Speaker 9>flow companies like them, when you have a big growth,

0:25:16.320 --> 0:25:18.080
<v Speaker 9>you're going to have that in a up cycle in

0:25:18.160 --> 0:25:22.040
<v Speaker 9>terms of breeds. But in that period Matt their CDs

0:25:22.119 --> 0:25:24.480
<v Speaker 9>is outperformed. So what it's telling you is that from

0:25:24.480 --> 0:25:27.280
<v Speaker 9>a risk perspective, people think that it actually has less

0:25:27.320 --> 0:25:29.679
<v Speaker 9>risk than it did two years ago, even though the

0:25:29.720 --> 0:25:31.080
<v Speaker 9>market cap is half the size.

0:25:31.359 --> 0:25:33.280
<v Speaker 1>That's interesting, all right, So how about the other auto

0:25:33.280 --> 0:25:36.280
<v Speaker 1>companies for GM, I mean all the other big public

0:25:36.320 --> 0:25:39.240
<v Speaker 1>ones that on that have public debt outsetting that you cover.

0:25:39.960 --> 0:25:43.800
<v Speaker 1>This industry is making this transition like we've never seen before.

0:25:44.160 --> 0:25:47.120
<v Speaker 1>If I'm a creditor, how nervous am I'm about going

0:25:47.119 --> 0:25:50.480
<v Speaker 1>from the traditional internal combustion engine, which I can model,

0:25:50.520 --> 0:25:52.359
<v Speaker 1>I know what the profits are and I know what

0:25:52.359 --> 0:25:53.960
<v Speaker 1>the growth is to this EV thing.

0:25:54.760 --> 0:25:57.280
<v Speaker 2>And the other car makers make a ton of margin

0:25:57.560 --> 0:26:01.399
<v Speaker 2>on the big ice cars, right, nothing on electrics.

0:26:01.560 --> 0:26:01.960
<v Speaker 10>That's right.

0:26:02.240 --> 0:26:05.640
<v Speaker 9>In fact, Ford, its model E business or its TV

0:26:05.800 --> 0:26:08.440
<v Speaker 9>business is expected to lose three billion dollars this year,

0:26:09.760 --> 0:26:13.320
<v Speaker 9>just to put that in perspective. But really for Tesla,

0:26:13.440 --> 0:26:16.920
<v Speaker 9>lart a very unique place because they have these other companies,

0:26:17.400 --> 0:26:20.280
<v Speaker 9>you know, in a very type grip. Obviously, any sort

0:26:20.280 --> 0:26:22.960
<v Speaker 9>of pricing pressure that they put on them just means

0:26:23.000 --> 0:26:26.840
<v Speaker 9>more opportunity for them and a tougher capability for Ford

0:26:27.359 --> 0:26:29.560
<v Speaker 9>and GM. But what I would say Paul to your

0:26:29.760 --> 0:26:33.479
<v Speaker 9>specific question is that if you're a creditor, you're probably

0:26:33.520 --> 0:26:36.600
<v Speaker 9>not that scared of the situation, despite the fact that

0:26:36.640 --> 0:26:40.240
<v Speaker 9>this evolution is very unique. And that's really because at

0:26:40.280 --> 0:26:42.359
<v Speaker 9>the end of the day, the average bond in the

0:26:42.359 --> 0:26:45.280
<v Speaker 9>sector is about three and a half years, and there'll

0:26:45.320 --> 0:26:47.560
<v Speaker 9>still be plenty of ice engines sold over the next

0:26:47.560 --> 0:26:49.560
<v Speaker 9>three and a half years to delay the bills.

0:26:49.560 --> 0:26:51.400
<v Speaker 3>So the big car companies don't go out with ten

0:26:51.480 --> 0:26:52.440
<v Speaker 3>year twenty year paper.

0:26:52.760 --> 0:26:52.800
<v Speaker 6>No.

0:26:53.000 --> 0:26:54.760
<v Speaker 9>Most of the debt, I would say about seventy five

0:26:54.760 --> 0:26:57.160
<v Speaker 9>percent of the debt is attached to the captain finance companies,

0:26:57.160 --> 0:26:59.520
<v Speaker 9>So if you think about the leaser alone, that's really

0:26:59.600 --> 0:27:01.879
<v Speaker 9>where the debt is finance. There's very little at the

0:27:01.920 --> 0:27:05.440
<v Speaker 9>manufacturing units because they're so cyclical. You really can't put

0:27:05.520 --> 0:27:06.440
<v Speaker 9>much leverage on them.

0:27:06.720 --> 0:27:12.240
<v Speaker 2>You wrote about Ferrari's tiny financial services unit. I always

0:27:12.240 --> 0:27:15.080
<v Speaker 2>find this part of the business interesting because it's a

0:27:15.119 --> 0:27:19.520
<v Speaker 2>little bit opaque to people focused on the manufacturers and

0:27:19.840 --> 0:27:23.159
<v Speaker 2>especially the stock side. Who's in the best position in

0:27:23.240 --> 0:27:25.800
<v Speaker 2>terms of a finance unit, Because as rates ries, you

0:27:25.800 --> 0:27:28.399
<v Speaker 2>want to have a very strong finance unit, you do.

0:27:28.359 --> 0:27:30.320
<v Speaker 9>And really it's the ones that have the best credit

0:27:30.440 --> 0:27:32.560
<v Speaker 9>quality that are in the best position. So a company

0:27:32.600 --> 0:27:36.080
<v Speaker 9>like a Toyota or Mercedes really or a BMW, they

0:27:36.119 --> 0:27:38.679
<v Speaker 9>really stand out above the others. A company like Ford

0:27:38.960 --> 0:27:41.200
<v Speaker 9>and I would say that they have as an operator

0:27:41.240 --> 0:27:42.480
<v Speaker 9>are a very good operator.

0:27:42.840 --> 0:27:44.520
<v Speaker 10>Their interest costs will go.

0:27:44.520 --> 0:27:47.520
<v Speaker 9>Up about eight hundred million dollars this year just because

0:27:47.560 --> 0:27:50.560
<v Speaker 9>of rates, and that is hard to pass through when

0:27:50.640 --> 0:27:53.720
<v Speaker 9>your average car has increased about twenty five or thirty

0:27:53.760 --> 0:27:55.159
<v Speaker 9>percent of the last couple of years.

0:27:56.119 --> 0:27:58.960
<v Speaker 10>Affordability really is the word of the year for autos.

0:27:59.200 --> 0:28:01.720
<v Speaker 2>I think of GS and Folkswagen, we probably talk about

0:28:01.720 --> 0:28:04.680
<v Speaker 2>them the most. Is the biggest competitors to Tesla, right

0:28:04.720 --> 0:28:08.560
<v Speaker 2>because Folkswagen has invested so much money in building out

0:28:08.600 --> 0:28:12.240
<v Speaker 2>its evs general motors as well, seems like they're in

0:28:12.240 --> 0:28:16.160
<v Speaker 2>a position to just explode in terms of EV sales.

0:28:16.440 --> 0:28:19.080
<v Speaker 2>How do they look from credit quality perspective?

0:28:20.040 --> 0:28:22.520
<v Speaker 9>Well, I'm a fan of Volkswagen, have ben it for

0:28:22.520 --> 0:28:25.560
<v Speaker 9>a long time. I do think with both of those companies.

0:28:25.600 --> 0:28:28.760
<v Speaker 9>One of the key differences between Volkswagen and in general

0:28:28.800 --> 0:28:30.879
<v Speaker 9>motors versus the Tesla is the.

0:28:30.760 --> 0:28:31.960
<v Speaker 10>Amount of products that they have.

0:28:32.359 --> 0:28:34.560
<v Speaker 9>There's a reason why Tesla only has a handful of

0:28:34.560 --> 0:28:36.439
<v Speaker 9>products and they scale the heck out of them as

0:28:36.520 --> 0:28:39.760
<v Speaker 9>much as they can. Versus having a very wide broad range,

0:28:39.800 --> 0:28:42.320
<v Speaker 9>you can't get the same scale and obviously you have

0:28:42.360 --> 0:28:44.360
<v Speaker 9>to have more marketing on top of it. So again,

0:28:44.400 --> 0:28:46.920
<v Speaker 9>from your cost position, you're much better off being in

0:28:46.920 --> 0:28:49.520
<v Speaker 9>the Tesla spot than one of the other peers. Despite

0:28:49.520 --> 0:28:51.920
<v Speaker 9>both of them being you know, like very very strong.

0:28:51.760 --> 0:28:54.240
<v Speaker 3>Their size hurts them. As what you're saying it does.

0:28:54.400 --> 0:28:54.760
<v Speaker 10>It does.

0:28:54.920 --> 0:28:57.360
<v Speaker 1>Hey, if I'm buying a Ferrari or Lamborghini, I'm not

0:28:57.480 --> 0:29:00.080
<v Speaker 1>finits in it. I'm just throwing down the AMEX.

0:28:59.840 --> 0:29:01.000
<v Speaker 3>Right pretty much.

0:29:01.080 --> 0:29:02.600
<v Speaker 10>Yeah, I don't think you even bring in the Amex

0:29:02.800 --> 0:29:03.680
<v Speaker 10>just you know, like.

0:29:07.280 --> 0:29:09.680
<v Speaker 2>I mean, I just walk in and you know, why

0:29:09.720 --> 0:29:11.600
<v Speaker 2>do they have a financial services unit?

0:29:11.640 --> 0:29:13.920
<v Speaker 3>What does Ferrari do with the financial services unit.

0:29:14.080 --> 0:29:16.520
<v Speaker 9>Yeah, they have a very small one, just for for

0:29:16.960 --> 0:29:19.040
<v Speaker 9>a few folks in the US. It's very different than

0:29:19.120 --> 0:29:22.040
<v Speaker 9>let's say Porsche, which has a much, much bigger and

0:29:22.120 --> 0:29:25.720
<v Speaker 9>more meaningful finance company. So there is a difference in

0:29:25.840 --> 0:29:28.760
<v Speaker 9>customer between a Porsche owner and a Ferrari owner. If

0:29:28.800 --> 0:29:32.160
<v Speaker 9>you're a Ferrari, you're like mister Sweeney or yourself, You're

0:29:32.600 --> 0:29:33.560
<v Speaker 9>you're living large.

0:29:35.200 --> 0:29:36.360
<v Speaker 3>I wish that were the case.

0:29:36.640 --> 0:29:38.560
<v Speaker 1>Yeah, I can't imagine if I'm again, if I'm in

0:29:38.600 --> 0:29:42.000
<v Speaker 1>the if I'm a Lamborghini Ferrari kind of buyer.

0:29:43.840 --> 0:29:44.200
<v Speaker 3>Costs.

0:29:44.280 --> 0:29:46.920
<v Speaker 2>I mean, you're looking at a base price of over

0:29:47.000 --> 0:29:50.480
<v Speaker 2>four hundred thousand dollars, well over four hundred thousand dollars,

0:29:50.520 --> 0:29:51.680
<v Speaker 2>and when you add options.

0:29:52.120 --> 0:29:54.040
<v Speaker 1>You know, I was just aut in Carmel and there

0:29:54.040 --> 0:29:57.520
<v Speaker 1>are invented doors parked on the street. That's I mean,

0:29:57.520 --> 0:29:59.240
<v Speaker 1>it's just incredible. I would never take it out of

0:29:59.240 --> 0:30:02.760
<v Speaker 1>the garage, but but that's that's the level of wealth out.

0:30:02.640 --> 0:30:03.000
<v Speaker 3>There, all right.

0:30:03.040 --> 0:30:05.880
<v Speaker 1>Joel, thanks so much for joining us. Joe Lovington, he's

0:30:05.880 --> 0:30:08.479
<v Speaker 1>a director of credit research for Bloomberg Intelligence, joining us

0:30:08.520 --> 0:30:11.840
<v Speaker 1>live here in the Bloomberg Interactive Broker studio. He doesn't

0:30:11.960 --> 0:30:14.200
<v Speaker 1>mail it in, slash phone it in like other directors

0:30:14.200 --> 0:30:16.080
<v Speaker 1>of research at BIS, so we appreciate.

0:30:15.680 --> 0:30:18.600
<v Speaker 3>Him coming into the office. It's good stuff. Don't get

0:30:18.640 --> 0:30:22.240
<v Speaker 3>him in trouble exactly. He gets in trouble all on

0:30:22.280 --> 0:30:22.600
<v Speaker 3>his own.

0:30:23.440 --> 0:30:27.080
<v Speaker 5>You're listening to the tape Catcher live program Bloomberg Markets

0:30:27.120 --> 0:30:30.520
<v Speaker 5>weekdays at ten am Eastern on Bloomberg Radio, the tune

0:30:30.560 --> 0:30:33.520
<v Speaker 5>in app, Bloomberg dot Com, and the Bloomberg Business App.

0:30:33.560 --> 0:30:36.360
<v Speaker 5>You can also listen live on Amazon Alexa from our

0:30:36.400 --> 0:30:41.440
<v Speaker 5>flagship New York station. Just say Alexa play Bloomberg eleven thirty.

0:30:42.520 --> 0:30:43.280
<v Speaker 4>Matt, here's the story.

0:30:43.320 --> 0:30:45.479
<v Speaker 3>I have no idea what to do with. Here's the headline.

0:30:45.600 --> 0:30:51.840
<v Speaker 3>Chat GPT, can dcode fed speak predict stock moves from headlines?

0:30:52.240 --> 0:30:53.480
<v Speaker 3>Where are we going in the world?

0:30:53.880 --> 0:30:56.920
<v Speaker 2>I thought it was a great story, but it does

0:30:58.760 --> 0:31:01.400
<v Speaker 2>we do say in that story? Or Justina Lisa, as

0:31:01.400 --> 0:31:04.000
<v Speaker 2>she wrote the story for us at Bloomberg News that,

0:31:04.360 --> 0:31:10.640
<v Speaker 2>of course, there already are fairly intelligent algorithms out there

0:31:10.720 --> 0:31:13.040
<v Speaker 2>that decode this kind of stuff every day, right, I mean,

0:31:13.080 --> 0:31:19.200
<v Speaker 2>Bloomberg publishes stories that are intended for machines to consume,

0:31:19.600 --> 0:31:24.000
<v Speaker 2>to read and then parse. So this is just I

0:31:24.040 --> 0:31:27.280
<v Speaker 2>think from what I'm reading here a little bit of

0:31:27.320 --> 0:31:30.680
<v Speaker 2>progress in terms of the ability of these AI programs.

0:31:30.720 --> 0:31:33.520
<v Speaker 1>All right, Justina Lee, Bloomberg News, the reporter on this story,

0:31:33.600 --> 0:31:37.960
<v Speaker 1>joins us now from our London studio. Justina, fascinating story

0:31:38.000 --> 0:31:40.160
<v Speaker 1>you have here. Tell us kind of what's going on.

0:31:41.560 --> 0:31:44.560
<v Speaker 11>Yeah, I mean, like every other field, finance has seen

0:31:44.600 --> 0:31:48.480
<v Speaker 11>an avalanche of research about what chat GPT means for everyone,

0:31:49.000 --> 0:31:52.280
<v Speaker 11>and we're starting to see some preliminary results here And

0:31:52.320 --> 0:31:55.360
<v Speaker 11>this time my story is based on two academic papers.

0:31:55.680 --> 0:31:58.280
<v Speaker 11>I mean, one argues that you could use chat GPT

0:31:58.520 --> 0:32:01.920
<v Speaker 11>to classify if a sentence and a Federal Reserve statement

0:32:02.040 --> 0:32:05.080
<v Speaker 11>is dubvish and or hawkish, and in this case they

0:32:05.120 --> 0:32:09.720
<v Speaker 11>compare it to what a human analyst might classify. And

0:32:09.800 --> 0:32:12.400
<v Speaker 11>in the other case, they asked chat GPT if a

0:32:12.440 --> 0:32:15.360
<v Speaker 11>certain corporate news headline is good or bad for a stock,

0:32:15.440 --> 0:32:18.800
<v Speaker 11>and then they found that that answer correlated with how

0:32:18.840 --> 0:32:20.840
<v Speaker 11>the stock actually subsequently performed.

0:32:21.360 --> 0:32:24.239
<v Speaker 2>So yeah, I thought the FED paper was interesting. They

0:32:24.280 --> 0:32:30.840
<v Speaker 2>compare chat GPT's translation to that of Bryson. I guess

0:32:30.920 --> 0:32:33.040
<v Speaker 2>like an intern at the FED. He's like a twenty

0:32:33.080 --> 0:32:36.680
<v Speaker 2>four year old kid known for his intelligence and curiosity.

0:32:37.120 --> 0:32:41.000
<v Speaker 2>Did did chat GPT beat Bryson or did Bryson do better?

0:32:42.160 --> 0:32:42.400
<v Speaker 12>Well?

0:32:42.760 --> 0:32:46.160
<v Speaker 11>In this case, they used Bryson as a benchmark. So

0:32:46.240 --> 0:32:50.520
<v Speaker 11>the idea isn't necessarily that chat GPT is better than humans,

0:32:50.520 --> 0:32:54.240
<v Speaker 11>but that chat GPT was better than prior technologies and

0:32:54.320 --> 0:32:58.320
<v Speaker 11>coming close to human thought. And one amazing thing about

0:32:58.400 --> 0:33:01.680
<v Speaker 11>chat GPT is not only can it classify if the

0:33:01.720 --> 0:33:05.480
<v Speaker 11>sentence is devish or hawkish, it can even like explain

0:33:05.560 --> 0:33:08.840
<v Speaker 11>why it classified the sentence that way. And in this

0:33:08.880 --> 0:33:11.080
<v Speaker 11>particular case, they actually found that a lot of the

0:33:11.120 --> 0:33:15.320
<v Speaker 11>time chat GPT's explanations were very similar to Bryson, who

0:33:16.120 --> 0:33:19.600
<v Speaker 11>Google tells me is an actual research analyst at the

0:33:19.720 --> 0:33:23.440
<v Speaker 11>Richmond FED. So the two explanations were actually pretty similar.

0:33:23.680 --> 0:33:26.480
<v Speaker 3>So where does this technology go from here? Justina?

0:33:26.520 --> 0:33:29.120
<v Speaker 1>I mean, is this something that is just over time

0:33:29.240 --> 0:33:31.280
<v Speaker 1>every day it's the iterations are going to make it

0:33:31.320 --> 0:33:32.440
<v Speaker 1>better and better.

0:33:33.600 --> 0:33:35.960
<v Speaker 11>Yeah, I mean it does feel that way. I mean

0:33:36.000 --> 0:33:39.920
<v Speaker 11>currently it's very commonplace in hedge funds to use machines

0:33:40.000 --> 0:33:43.560
<v Speaker 11>to read earnings transcripts and tweets and headlines and to

0:33:43.680 --> 0:33:46.680
<v Speaker 11>kind of incorporate those into trading models. But I think

0:33:46.720 --> 0:33:49.200
<v Speaker 11>what all this research is telling us is that chat

0:33:49.240 --> 0:33:52.280
<v Speaker 11>GPT is a lot better than the early generation of

0:33:52.320 --> 0:33:56.400
<v Speaker 11>the technology in parsing nuance and context, and it can

0:33:56.560 --> 0:33:59.880
<v Speaker 11>kind of understand a lot of financial news even if

0:34:00.040 --> 0:34:03.000
<v Speaker 11>it hasn't been specifically trained for that purpose. So I

0:34:03.000 --> 0:34:05.240
<v Speaker 11>think what this tells is this there's probably going to

0:34:05.280 --> 0:34:08.600
<v Speaker 11>be even broader use of chat GPT for financial purposes,

0:34:09.000 --> 0:34:10.840
<v Speaker 11>and also that it's going to get a lot better

0:34:10.880 --> 0:34:11.880
<v Speaker 11>and a lot more accurate.

0:34:12.040 --> 0:34:15.600
<v Speaker 2>What's the difference between chat GPT and the technology that

0:34:16.320 --> 0:34:21.040
<v Speaker 2>you know, traders already use on a daily basis. You

0:34:21.160 --> 0:34:24.000
<v Speaker 2>talk to any humans in this market and they'll tell

0:34:24.040 --> 0:34:27.000
<v Speaker 2>you that the algorithms are taken over and it's just

0:34:27.080 --> 0:34:30.560
<v Speaker 2>computers that are doing all the trading at very high

0:34:30.600 --> 0:34:35.480
<v Speaker 2>frequencies often as well. So is chat GPT going to

0:34:35.480 --> 0:34:38.960
<v Speaker 2>be able to replace those or are those computer models

0:34:39.520 --> 0:34:43.200
<v Speaker 2>you know, made more specific to their jobs.

0:34:44.239 --> 0:34:44.479
<v Speaker 12>Yeah.

0:34:44.520 --> 0:34:46.720
<v Speaker 11>I think when it comes to you know, the first

0:34:46.760 --> 0:34:49.560
<v Speaker 11>generation of this technology, it was very much based on

0:34:49.760 --> 0:34:54.000
<v Speaker 11>understanding particular words and so sometimes it couldn't really understand

0:34:54.000 --> 0:34:58.120
<v Speaker 11>the context very well. Whereas chat GPT uses this technology

0:34:58.239 --> 0:35:01.399
<v Speaker 11>that kind of manages to understand and where the focus

0:35:01.440 --> 0:35:04.640
<v Speaker 11>of a piece of textas But I think if you

0:35:04.680 --> 0:35:07.200
<v Speaker 11>ask people who have been following this technology for years,

0:35:07.200 --> 0:35:10.799
<v Speaker 11>they would say it's not necessarily a huge breakthrough if

0:35:10.840 --> 0:35:14.040
<v Speaker 11>you're ready familiar with you know, for instance, Google's prior

0:35:14.120 --> 0:35:17.080
<v Speaker 11>model called bert. But I think what kind of chat

0:35:17.120 --> 0:35:20.040
<v Speaker 11>GPT has done is it's kind of opened up access

0:35:20.239 --> 0:35:23.799
<v Speaker 11>to this tech that makes it potentially possible for a

0:35:23.880 --> 0:35:27.399
<v Speaker 11>lot more financial firms to start doing this tech as well.

0:35:27.800 --> 0:35:31.160
<v Speaker 1>Is there the expectation that there will be some commercialization

0:35:31.520 --> 0:35:34.359
<v Speaker 1>of this type of technology so that if a hedge

0:35:34.360 --> 0:35:37.000
<v Speaker 1>fund wants to do it, I can go to you know,

0:35:37.120 --> 0:35:40.680
<v Speaker 1>chat Gptfinance dot com or something and you know, get

0:35:40.680 --> 0:35:41.719
<v Speaker 1>it from Amazon or something.

0:35:42.600 --> 0:35:42.799
<v Speaker 12>Yeah.

0:35:42.840 --> 0:35:45.080
<v Speaker 11>I mean obviously currently any one of us can go

0:35:45.120 --> 0:35:47.840
<v Speaker 11>on chat GPT and ask them to interpret a sentence

0:35:47.880 --> 0:35:49.719
<v Speaker 11>for us. But if you really kind of want to

0:35:49.800 --> 0:35:52.320
<v Speaker 11>use it on an industrial scale for a hedge fund,

0:35:52.520 --> 0:35:54.680
<v Speaker 11>I think you do need to reach out to the

0:35:54.719 --> 0:35:57.400
<v Speaker 11>firm for a license and something like that. And I

0:35:57.400 --> 0:36:00.319
<v Speaker 11>think that is kind of something that a lot of

0:36:00.360 --> 0:36:04.560
<v Speaker 11>Hetchman's are now considering, because then you know, chat GPD

0:36:04.680 --> 0:36:06.840
<v Speaker 11>is not open source and so in a way you

0:36:06.920 --> 0:36:09.840
<v Speaker 11>kind of need to give over your data to that software,

0:36:10.440 --> 0:36:12.920
<v Speaker 11>and a lot of firms will be pondering whether they

0:36:12.960 --> 0:36:15.600
<v Speaker 11>should do that or whether they should, you know, rely

0:36:15.719 --> 0:36:17.760
<v Speaker 11>on their own internally developed models.

0:36:17.800 --> 0:36:21.600
<v Speaker 2>What's the competition like right now, you mentioned Google's uh

0:36:22.000 --> 0:36:24.520
<v Speaker 2>chat or whatever we call it, Google's GPT.

0:36:24.680 --> 0:36:26.080
<v Speaker 3>What does GPT even stand for?

0:36:28.800 --> 0:36:32.440
<v Speaker 11>It stands for I'm forgetting GP but T is transformer.

0:36:32.640 --> 0:36:35.040
<v Speaker 3>I just nobody. I mean, it's funny.

0:36:35.040 --> 0:36:35.200
<v Speaker 11>You know.

0:36:35.280 --> 0:36:37.360
<v Speaker 2>Elon Musk was on Fox News and he said he

0:36:37.400 --> 0:36:40.200
<v Speaker 2>wants to start his own called truth GPT, and I

0:36:40.239 --> 0:36:42.440
<v Speaker 2>think he's trolling obviously.

0:36:42.960 --> 0:36:44.720
<v Speaker 3>But why do we have to put GPT?

0:36:45.000 --> 0:36:47.000
<v Speaker 2>I always wonder at the end of all these at

0:36:47.080 --> 0:36:50.160
<v Speaker 2>least Bert doesn't do that. What are the other competitors

0:36:50.200 --> 0:36:51.479
<v Speaker 2>to to open AI?

0:36:52.120 --> 0:36:54.040
<v Speaker 11>I just googled it. By the way, it's general to

0:36:54.320 --> 0:36:56.560
<v Speaker 11>pre trained transformer.

0:36:56.800 --> 0:36:58.120
<v Speaker 10>No wonder, no wonder.

0:36:58.280 --> 0:37:01.279
<v Speaker 11>Yes, yeah, I mean the last this major breakthrough is

0:37:01.320 --> 0:37:04.360
<v Speaker 11>Bert from Google. I kind of mentioned this at the

0:37:04.440 --> 0:37:06.960
<v Speaker 11>end of story more as a disclaimer. But Bloomberg now

0:37:07.120 --> 0:37:12.000
<v Speaker 11>has NP you know, a GPT as well. And the

0:37:12.080 --> 0:37:15.400
<v Speaker 11>significant thing about you know, Bloomberg's large language model is

0:37:15.400 --> 0:37:17.480
<v Speaker 11>that is specifically trained for finance.

0:37:17.800 --> 0:37:21.680
<v Speaker 2>But do we use. Have we licensed this from open ai?

0:37:22.360 --> 0:37:24.799
<v Speaker 2>Is this our own chat GPT? That seems to be

0:37:24.840 --> 0:37:27.719
<v Speaker 2>what everyone's doing, and I know they offer that with

0:37:27.760 --> 0:37:28.319
<v Speaker 2>GPT for.

0:37:29.360 --> 0:37:32.120
<v Speaker 11>Yeah, I think it's Bloomberg's own thing and it's very new.

0:37:32.560 --> 0:37:35.400
<v Speaker 11>They release the academic paper on it, I think, just

0:37:35.520 --> 0:37:36.440
<v Speaker 11>at the end of March.

0:37:37.200 --> 0:37:37.840
<v Speaker 3>Interesting stuff.

0:37:37.880 --> 0:37:39.759
<v Speaker 1>So I guess the word, you know, I think we're

0:37:39.760 --> 0:37:42.360
<v Speaker 1>going to see more and more of academic support for

0:37:42.400 --> 0:37:44.840
<v Speaker 1>this and maybe driving it forward because it just seems

0:37:44.880 --> 0:37:45.400
<v Speaker 1>like it's.

0:37:45.840 --> 0:37:49.640
<v Speaker 2>Well in Microsoft, which obviously is heavily invested in open ai,

0:37:49.880 --> 0:37:52.359
<v Speaker 2>has been using it for being and now I all

0:37:52.400 --> 0:37:54.760
<v Speaker 2>of a sudden find being being a lot more useful

0:37:54.800 --> 0:37:55.360
<v Speaker 2>than Google.

0:37:55.680 --> 0:37:58.319
<v Speaker 3>Yeah, I mean, that's that's Google's taking a hit on that.

0:37:58.480 --> 0:38:02.439
<v Speaker 1>So Justina, what should we look for next from chat

0:38:02.480 --> 0:38:04.120
<v Speaker 1>GPT in finance?

0:38:05.160 --> 0:38:07.960
<v Speaker 11>Yeah, I mean there's been so many papers on this subject,

0:38:08.480 --> 0:38:11.759
<v Speaker 11>you know. I've read one where the researchers started using

0:38:11.840 --> 0:38:15.879
<v Speaker 11>chat GPT to even design an investing strategy, and they

0:38:15.920 --> 0:38:19.080
<v Speaker 11>said that it was better than random, which is sort

0:38:19.120 --> 0:38:22.200
<v Speaker 11>of a low bar, but at least there's that. But

0:38:22.280 --> 0:38:24.759
<v Speaker 11>I think generally, you know, people have talked about how

0:38:24.880 --> 0:38:28.000
<v Speaker 11>it could really jump start a lot of financial research

0:38:28.120 --> 0:38:30.680
<v Speaker 11>is a very good at summarizing thing. So, if anything,

0:38:30.680 --> 0:38:33.160
<v Speaker 11>it will speed up a lot of process good stuff.

0:38:33.160 --> 0:38:35.400
<v Speaker 2>If it's better than a monkey throwing darts, that's actually

0:38:35.400 --> 0:38:36.160
<v Speaker 2>a stretty high bar.

0:38:36.320 --> 0:38:39.040
<v Speaker 1>That is Justina Lee. She's a market's quant reporter for

0:38:39.080 --> 0:38:41.120
<v Speaker 1>Bloomberg News. She's based in London and she's got this

0:38:41.200 --> 0:38:44.040
<v Speaker 1>great story out on the Bloomberg terminal. To check it

0:38:44.080 --> 0:38:48.400
<v Speaker 1>out talking about chart GPT can de code fed speak.

0:38:48.400 --> 0:38:48.920
<v Speaker 3>How about that?

0:38:49.280 --> 0:38:52.440
<v Speaker 5>You're listening to the tape Cat's are live program Bloomberg

0:38:52.480 --> 0:38:56.080
<v Speaker 5>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:38:56.120 --> 0:38:58.160
<v Speaker 5>tune in app, Bloomberg dot Com.

0:38:57.920 --> 0:38:59.359
<v Speaker 6>And the Bloomberg Business App.

0:38:59.400 --> 0:39:02.200
<v Speaker 5>You can also and live on Amazon Alexa from our

0:39:02.239 --> 0:39:08.080
<v Speaker 5>flagship New York station just Say Alexa playing Bloomberg eleven thirty.

0:39:07.760 --> 0:39:10.840
<v Speaker 1>Apple Computer make it a big splash or continuing to

0:39:10.880 --> 0:39:13.040
<v Speaker 1>increase their investments in India.

0:39:13.160 --> 0:39:14.680
<v Speaker 3>They actually open their first door in India.

0:39:14.719 --> 0:39:15.120
<v Speaker 10>I'm surprised.

0:39:15.120 --> 0:39:16.839
<v Speaker 1>I would have thought they would have had a store there,

0:39:16.840 --> 0:39:18.480
<v Speaker 1>but they opened their first door. And Tim Cook I

0:39:18.480 --> 0:39:21.280
<v Speaker 1>saw some video of him in India greeting folks anaa

0:39:21.320 --> 0:39:23.440
<v Speaker 1>Grana senior techanas Bloomberg Intelligence.

0:39:23.480 --> 0:39:26.440
<v Speaker 3>He's been following Apple for a long time. So, Honurra,

0:39:26.960 --> 0:39:27.399
<v Speaker 3>what's the.

0:39:27.360 --> 0:39:30.800
<v Speaker 1>Strategy here for for Apple and India broadly defined?

0:39:32.200 --> 0:39:36.560
<v Speaker 12>So, Paul, it's so when it comes to Apple in India, India,

0:39:36.719 --> 0:39:39.239
<v Speaker 12>Apple doesn't have such high market share in India, and

0:39:39.560 --> 0:39:42.080
<v Speaker 12>the reason for that is these phones are fairly expensive

0:39:42.440 --> 0:39:45.000
<v Speaker 12>and flankbet you know, even ninety percent of don't even

0:39:45.040 --> 0:39:48.120
<v Speaker 12>qualify for you know, Apples to be competing in that

0:39:48.239 --> 0:39:50.880
<v Speaker 12>market because they are all sub three hundred dollars phones.

0:39:51.320 --> 0:39:53.960
<v Speaker 12>But as you know, you and I've discussed in previous

0:39:54.520 --> 0:39:58.799
<v Speaker 12>discussions that as this middle class becomes more rich, they

0:39:58.840 --> 0:40:01.840
<v Speaker 12>are more inclined to buy a luxury product like Apple

0:40:02.120 --> 0:40:04.800
<v Speaker 12>compared to a lower and smartphone.

0:40:05.120 --> 0:40:08.680
<v Speaker 2>So I can't believe that this is their first store

0:40:09.520 --> 0:40:12.479
<v Speaker 2>in India. I mean I feel like people, yeah, more

0:40:12.680 --> 0:40:15.359
<v Speaker 2>well over a billion people, right, Honor rag and talk

0:40:15.400 --> 0:40:17.600
<v Speaker 2>to us about the size of the rising middle class.

0:40:17.600 --> 0:40:19.120
<v Speaker 3>What are we talking about in terms of numbers?

0:40:20.120 --> 0:40:22.760
<v Speaker 12>Yeah, So, first and foremost, I mean, you can buy

0:40:22.840 --> 0:40:25.759
<v Speaker 12>a you know, Apple phone in India through partners and

0:40:25.800 --> 0:40:28.360
<v Speaker 12>through online channels. So it's not as if that an

0:40:28.560 --> 0:40:31.520
<v Speaker 12>Indian consumer cannot buy it it was the first Apple

0:40:31.600 --> 0:40:35.799
<v Speaker 12>loan store right there. So so making that distinction in

0:40:35.880 --> 0:40:37.759
<v Speaker 12>terms of the market size, you know, this is a

0:40:38.000 --> 0:40:40.600
<v Speaker 12>contribute over three hundred and fifty million people or somewhere

0:40:40.640 --> 0:40:44.799
<v Speaker 12>in that range of mid middle class and extremely you

0:40:44.800 --> 0:40:47.680
<v Speaker 12>know grow that that particular portion is growing at a

0:40:47.760 --> 0:40:50.800
<v Speaker 12>much faster pace in terms of the purchasing power parity,

0:40:51.280 --> 0:40:55.040
<v Speaker 12>largely thanks to a very large you know, technology boom

0:40:55.080 --> 0:40:58.600
<v Speaker 12>and the software ecosystem with most of the you know,

0:40:58.760 --> 0:41:02.560
<v Speaker 12>technology companies in the West have very large development centers

0:41:02.600 --> 0:41:06.040
<v Speaker 12>in India. And it's those young people who are driving

0:41:06.680 --> 0:41:08.960
<v Speaker 12>you know, the spending of luxury products, and I think

0:41:08.960 --> 0:41:11.439
<v Speaker 12>that is the real big opportunity in our view.

0:41:11.600 --> 0:41:14.360
<v Speaker 2>So it's I think it's over one point four billion

0:41:14.400 --> 0:41:18.920
<v Speaker 2>people in total, right, three hundred fifty million in the

0:41:18.920 --> 0:41:19.520
<v Speaker 2>middle class.

0:41:19.640 --> 0:41:21.799
<v Speaker 3>That's more people than in all of America.

0:41:22.600 --> 0:41:27.360
<v Speaker 2>And yes, and they care this, this giant middle class.

0:41:27.400 --> 0:41:31.400
<v Speaker 2>They care about high tech products, right, they want this stuff.

0:41:32.560 --> 0:41:34.919
<v Speaker 12>No, I agree, But you know, I would also say

0:41:34.960 --> 0:41:37.280
<v Speaker 12>that they have been a lot more cost conscious about

0:41:37.480 --> 0:41:39.960
<v Speaker 12>the products because if they can find a you know,

0:41:40.040 --> 0:41:43.520
<v Speaker 12>Android product from Samsung or another firm or another company

0:41:43.520 --> 0:41:46.080
<v Speaker 12>that is equally or better you know, they are not

0:41:46.360 --> 0:41:49.120
<v Speaker 12>just bound by the brand itself. But you know, Apple

0:41:49.239 --> 0:41:51.680
<v Speaker 12>is a luxury brand. It is somebody something that people

0:41:51.800 --> 0:41:54.920
<v Speaker 12>aspire for. And I think, you know, Apple will build

0:41:55.000 --> 0:41:57.680
<v Speaker 12>products in India, and I think that way, you know,

0:41:57.719 --> 0:41:59.680
<v Speaker 12>it is possible down the road the products may be

0:41:59.760 --> 0:42:02.040
<v Speaker 12>slightly cheaper if they are made in India.

0:42:02.640 --> 0:42:03.879
<v Speaker 3>And they'll be building them there.

0:42:03.920 --> 0:42:09.000
<v Speaker 2>Though I think, what's the output of iPhones out of

0:42:09.000 --> 0:42:12.000
<v Speaker 2>India was like seven times more this year than they

0:42:12.040 --> 0:42:13.239
<v Speaker 2>made two years ago.

0:42:13.920 --> 0:42:16.440
<v Speaker 12>So Apple doesn't disclose that information, and you know you'll

0:42:16.480 --> 0:42:19.320
<v Speaker 12>have to rely from a lot of media, you know, channels,

0:42:19.320 --> 0:42:22.280
<v Speaker 12>but you know, we think it's still less than five percent,

0:42:22.440 --> 0:42:25.160
<v Speaker 12>a lot less than that at this point because ninety

0:42:25.160 --> 0:42:27.000
<v Speaker 12>eight percent of the phones as of last year were

0:42:27.000 --> 0:42:29.879
<v Speaker 12>assembled in China. Now that is going to change over

0:42:29.920 --> 0:42:32.560
<v Speaker 12>the next decade. But you know, one of the things

0:42:32.560 --> 0:42:34.399
<v Speaker 12>I would say is if if a phone is built

0:42:34.440 --> 0:42:37.239
<v Speaker 12>in India, I think in the long run, that would

0:42:37.280 --> 0:42:40.239
<v Speaker 12>be more palatable for the Indian audience because it will

0:42:40.280 --> 0:42:43.120
<v Speaker 12>not have export duties and other things that go with it.

0:42:43.719 --> 0:42:49.080
<v Speaker 1>An maybe two or three iPhone upgrade cycles ago, Apple introduced,

0:42:49.320 --> 0:42:52.960
<v Speaker 1>you know, a lower price model, specifically to appeal towards

0:42:53.320 --> 0:42:56.520
<v Speaker 1>you know, some of these emerging markets that never really

0:42:56.560 --> 0:42:58.560
<v Speaker 1>took off, do they do they still have that that

0:42:58.640 --> 0:43:00.520
<v Speaker 1>they still want to attack them a market that way?

0:43:00.560 --> 0:43:01.799
<v Speaker 1>Are they waiting for people.

0:43:01.560 --> 0:43:04.880
<v Speaker 2>To just what's that cominie or the SE something the

0:43:05.000 --> 0:43:06.400
<v Speaker 2>ion are which one is that?

0:43:07.120 --> 0:43:07.960
<v Speaker 8>Yeah, it is the s C.

0:43:08.160 --> 0:43:10.600
<v Speaker 12>But you know, Paul, if I look at the smartphone

0:43:10.600 --> 0:43:13.080
<v Speaker 12>install based in India, it's let's say about six hundred

0:43:13.120 --> 0:43:16.680
<v Speaker 12>million units out there. Ninety percent of them fall below

0:43:16.719 --> 0:43:19.719
<v Speaker 12>the three hundred you know, dollars price band. So even

0:43:19.760 --> 0:43:22.719
<v Speaker 12>the SE doesn't qualify for you know what you're saying,

0:43:22.760 --> 0:43:25.520
<v Speaker 12>because even that falls into that you know, thirty five

0:43:25.520 --> 0:43:28.879
<v Speaker 12>percent bucket or so, thirty five million unit bucket or so.

0:43:29.680 --> 0:43:32.000
<v Speaker 12>And I think that really is going to change over

0:43:32.080 --> 0:43:35.040
<v Speaker 12>time as this middle class becomes a little more affluent.

0:43:35.280 --> 0:43:37.560
<v Speaker 12>You know. We think, for example, the current you know,

0:43:37.640 --> 0:43:40.280
<v Speaker 12>revenue run rate in India is is is roughly around

0:43:40.280 --> 0:43:43.520
<v Speaker 12>six billion just on the on the iPhone itself. We think,

0:43:43.680 --> 0:43:46.520
<v Speaker 12>you know, that could grow at somewhere around sixteen seventeen

0:43:46.560 --> 0:43:49.799
<v Speaker 12>percent over the next decade, you know, reaching about thirty

0:43:49.840 --> 0:43:51.080
<v Speaker 12>billion by twenty thirty two.

0:43:51.960 --> 0:43:53.839
<v Speaker 3>Some good numbers there, buddy, that's some you can make

0:43:53.880 --> 0:43:54.400
<v Speaker 3>some money on that.

0:43:54.520 --> 0:43:56.840
<v Speaker 1>Off of that on ur RANA do in the research

0:43:56.880 --> 0:44:01.239
<v Speaker 1>analysis with the numbers on RANA Senior Techs for Bloomberg Intelligence.

0:44:01.239 --> 0:44:04.160
<v Speaker 1>Of course, you can find all of Bloomberg Intelligence research

0:44:04.520 --> 0:44:07.120
<v Speaker 1>really simple, b I, go boom.

0:44:07.160 --> 0:44:07.880
<v Speaker 3>It gets you all there.

0:44:07.920 --> 0:44:09.920
<v Speaker 1>Then you just click on industry, click on analysts, whatever

0:44:09.960 --> 0:44:12.239
<v Speaker 1>you want to do, stick in a ticker symbol, and

0:44:12.400 --> 0:44:15.760
<v Speaker 1>get all the research on their equity research, credit research.

0:44:15.760 --> 0:44:18.759
<v Speaker 1>And as we learned today, we've got litigation research there.

0:44:18.840 --> 0:44:20.680
<v Speaker 1>So if you want to bone up on some of

0:44:20.680 --> 0:44:24.880
<v Speaker 1>the litigation against certain companies out there, like Fox and

0:44:25.000 --> 0:44:27.839
<v Speaker 1>its defamation suit that it's going through starting today, that's

0:44:27.840 --> 0:44:29.040
<v Speaker 1>where you get all that research.

0:44:29.560 --> 0:44:30.480
<v Speaker 3>B I go on the.

0:44:30.480 --> 0:44:34.040
<v Speaker 1>Bloomberg Terminal exclusively for Bloomberg Terminal customers.

0:44:34.239 --> 0:44:37.840
<v Speaker 5>You're listening to the tape Kensur Live program Bloomberg Markets

0:44:37.920 --> 0:44:41.319
<v Speaker 5>weekdays at ten am Eastern on Bloomberg Radio, the tune

0:44:41.360 --> 0:44:43.040
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0:44:43.000 --> 0:44:44.319
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0:44:44.360 --> 0:44:47.160
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0:44:47.200 --> 0:44:52.160
<v Speaker 5>flagship New York station. Just say Alexa play Bloomberg eleven thirty.

0:44:53.880 --> 0:44:57.200
<v Speaker 1>I was just showing Matt the Richmond Spider kind of

0:44:57.239 --> 0:44:59.320
<v Speaker 1>little hand signal.

0:44:59.080 --> 0:45:01.200
<v Speaker 3>And then you explain it to me. But I obviously

0:45:01.239 --> 0:45:03.640
<v Speaker 3>get it, and you've got it. Okay, thank you. Some

0:45:03.680 --> 0:45:05.880
<v Speaker 3>people don't, but you're on top of that stuff. All right,

0:45:05.960 --> 0:45:06.960
<v Speaker 3>let's talk markets here.

0:45:07.600 --> 0:45:12.120
<v Speaker 1>We're gonna welcome Karen pie In pie Pay parent Pay,

0:45:12.200 --> 0:45:13.960
<v Speaker 1>thank you, I am pay, I am pay. Got you

0:45:14.040 --> 0:45:18.000
<v Speaker 1>designed the Guggenheim thing and the pyramid in front of

0:45:18.040 --> 0:45:20.359
<v Speaker 1>the oh the loose right, that's right, all right here,

0:45:20.440 --> 0:45:23.279
<v Speaker 1>just so wordly, Karen Pay, head of portfolio management and

0:45:23.360 --> 0:45:27.160
<v Speaker 1>Equities at Fiduciary Trust International. Karen, we're kind of getting

0:45:27.160 --> 0:45:30.080
<v Speaker 1>into the thick of earning season. I'm gonna for like

0:45:30.200 --> 0:45:32.920
<v Speaker 1>fifteen seconds. I'm gonna get away from the Fed. What

0:45:32.960 --> 0:45:35.279
<v Speaker 1>are you looking for in earnings? How concerned are you

0:45:35.280 --> 0:45:37.080
<v Speaker 1>about earnings risk in this market?

0:45:37.760 --> 0:45:40.080
<v Speaker 13>It's a great question. So we've been saying that the

0:45:40.120 --> 0:45:43.160
<v Speaker 13>markets should be shifting their attention to fundamentals as opposed

0:45:43.200 --> 0:45:47.920
<v Speaker 13>to the FED, which continues too. Yes, but it continues

0:45:47.960 --> 0:45:50.239
<v Speaker 13>to be a driving force and continues to be a

0:45:50.239 --> 0:45:53.160
<v Speaker 13>theme in the market. But in terms of earnings, we

0:45:53.239 --> 0:45:57.759
<v Speaker 13>are concerned that profit margins are going to get squeeze.

0:45:58.360 --> 0:46:00.680
<v Speaker 13>You know, companies have been able to raise prices over

0:46:00.719 --> 0:46:04.520
<v Speaker 13>the past year. They've done really a good job, especially

0:46:04.600 --> 0:46:07.640
<v Speaker 13>the companies that have pricing power. But we are seeing

0:46:07.719 --> 0:46:09.800
<v Speaker 13>that companies are going to struggle a little bit in

0:46:09.920 --> 0:46:12.960
<v Speaker 13>terms of maintaining their their margins. And we are hearing

0:46:13.000 --> 0:46:16.680
<v Speaker 13>about companies talking about cost cutting. And you know, even

0:46:16.719 --> 0:46:20.440
<v Speaker 13>when we look at the banks earning, so far, margins

0:46:20.440 --> 0:46:23.360
<v Speaker 13>have been held up, but they're doing so with the

0:46:23.440 --> 0:46:28.879
<v Speaker 13>combination of better revenues, better better income interest income from

0:46:28.920 --> 0:46:32.120
<v Speaker 13>the banks, but also there's a lot of discussions about

0:46:32.160 --> 0:46:35.320
<v Speaker 13>cost reduction and cost containment. I think that will continue

0:46:35.320 --> 0:46:36.319
<v Speaker 13>to be a theme this year.

0:46:36.400 --> 0:46:40.840
<v Speaker 2>We heard someone today suggest lowering headcount by using AI

0:46:42.160 --> 0:46:44.359
<v Speaker 2>on Wall Street. That's at one of the biggest banks

0:46:44.360 --> 0:46:45.480
<v Speaker 2>in Charlotte.

0:46:45.640 --> 0:46:45.839
<v Speaker 3>Right.

0:46:46.560 --> 0:46:51.560
<v Speaker 2>So, in terms of the fed's impact, everyone seems to

0:46:51.560 --> 0:46:55.920
<v Speaker 2>be pricing in, you know, one hike and then a pause. Okay,

0:46:56.440 --> 0:47:00.000
<v Speaker 2>if you look at futures and options, you could see

0:47:00.160 --> 0:47:02.400
<v Speaker 2>that they're pricing in cuts, but I don't think a

0:47:02.440 --> 0:47:03.839
<v Speaker 2>lot of investors really buy that.

0:47:03.840 --> 0:47:04.680
<v Speaker 10>What's your outlook?

0:47:05.360 --> 0:47:08.200
<v Speaker 13>Sure, So, markets I think are backing in about eighty

0:47:08.239 --> 0:47:13.440
<v Speaker 13>five percent probability of another increase in May. So, but

0:47:13.640 --> 0:47:17.319
<v Speaker 13>I think, you know, there has been some expectation of

0:47:17.440 --> 0:47:20.879
<v Speaker 13>rate cuts for this year that I think helped drive

0:47:20.960 --> 0:47:25.200
<v Speaker 13>markets up during this first quarter. Our outlook is that

0:47:25.320 --> 0:47:28.560
<v Speaker 13>we probably won't see that occur until maybe next year.

0:47:29.200 --> 0:47:32.680
<v Speaker 13>And you know, my view is that inflation probably will

0:47:32.680 --> 0:47:35.239
<v Speaker 13>be a bigger challenge for the FED. I think, you know,

0:47:35.280 --> 0:47:38.080
<v Speaker 13>the label markets have been very strong so far, it's

0:47:38.120 --> 0:47:42.560
<v Speaker 13>going to be a gradual grind lower and that means

0:47:42.560 --> 0:47:45.399
<v Speaker 13>that inflation isn't going to come down as quickly as

0:47:45.480 --> 0:47:48.920
<v Speaker 13>maybe the markets expect. And so as far as rate

0:47:49.000 --> 0:47:52.319
<v Speaker 13>cuts go, I don't see that happening anytime soon.

0:47:53.160 --> 0:47:53.440
<v Speaker 10>Karen.

0:47:53.480 --> 0:47:56.200
<v Speaker 1>You know, I think what a lot of investors, you know,

0:47:56.400 --> 0:47:59.000
<v Speaker 1>really for the last twelve thirteen years, they've been used

0:47:59.040 --> 0:48:01.720
<v Speaker 1>to this technology that big tech companies leading the way,

0:48:02.400 --> 0:48:03.480
<v Speaker 1>and that.

0:48:03.360 --> 0:48:06.120
<v Speaker 3>Didn't work in twenty twenty two. It's kind of come back.

0:48:06.000 --> 0:48:08.799
<v Speaker 1>Here in twenty three, here the big tech names are

0:48:08.840 --> 0:48:11.400
<v Speaker 1>leading the way. How important is it for you and

0:48:11.520 --> 0:48:13.959
<v Speaker 1>just as you look at the broader market for tech

0:48:14.040 --> 0:48:16.240
<v Speaker 1>to be a leader, or can this market move higher

0:48:16.600 --> 0:48:19.359
<v Speaker 1>if it's something else industrials or small cap or something

0:48:19.360 --> 0:48:20.719
<v Speaker 1>like that, how do you think about leadership.

0:48:20.920 --> 0:48:23.919
<v Speaker 13>Sure. Yeah, So I think that market's in the very

0:48:23.920 --> 0:48:28.560
<v Speaker 13>short time period can sort of disconnect from fundamentals. So

0:48:28.719 --> 0:48:34.319
<v Speaker 13>last year technology stocks didn't do well because they were

0:48:34.320 --> 0:48:36.560
<v Speaker 13>fighting the tape, the FEDS tape in terms of rising

0:48:36.600 --> 0:48:39.839
<v Speaker 13>interest rates. You know, it's the long duration trade that

0:48:39.880 --> 0:48:43.840
<v Speaker 13>didn't work last year, given that technology companies have a

0:48:43.840 --> 0:48:46.680
<v Speaker 13>lot of future growth that had to be discounted back

0:48:46.719 --> 0:48:49.920
<v Speaker 13>at higher rates. Valuation is a big part of it,

0:48:49.960 --> 0:48:52.920
<v Speaker 13>and I think that in this market we have to

0:48:52.920 --> 0:48:56.360
<v Speaker 13>pay attention to valuation in the very short term, like

0:48:56.400 --> 0:48:58.600
<v Speaker 13>what happened in the first quarter because of the shift

0:48:58.640 --> 0:49:02.640
<v Speaker 13>and rate expectations. That helped some of the valuation recovery

0:49:02.680 --> 0:49:05.960
<v Speaker 13>in the tech stocks. But from a fundamental standpoint, we

0:49:06.040 --> 0:49:10.400
<v Speaker 13>are seeing, for example, companies talking about reducing CAPAC spending.

0:49:11.360 --> 0:49:15.280
<v Speaker 13>Taiwan Semi actually just this week talked about reducing CAPAX.

0:49:15.800 --> 0:49:18.680
<v Speaker 13>So we're sort of on the other side of a

0:49:18.719 --> 0:49:23.080
<v Speaker 13>lot of the spend that happened during the pandemic when

0:49:23.080 --> 0:49:25.920
<v Speaker 13>it comes to companies you know, going all digital, right

0:49:25.960 --> 0:49:28.560
<v Speaker 13>so there was a lot of accelerated spending in technology.

0:49:28.880 --> 0:49:30.920
<v Speaker 13>I think we're on the other side of that right now.

0:49:31.160 --> 0:49:33.879
<v Speaker 13>So it's going to be difficult as a longer term

0:49:33.920 --> 0:49:38.839
<v Speaker 13>trend to see sustainable rallies in technology until either the

0:49:38.840 --> 0:49:42.759
<v Speaker 13>FED pivots where we start to see rate cuts, or

0:49:42.840 --> 0:49:47.680
<v Speaker 13>until we start to see bottoming in terms of fundamentals

0:49:47.960 --> 0:49:51.400
<v Speaker 13>and we start to see maybe some increases in growth

0:49:51.440 --> 0:49:53.320
<v Speaker 13>expectations or capac spending.

0:49:53.360 --> 0:49:55.680
<v Speaker 2>How do you feel about the consumer because a lot

0:49:55.680 --> 0:49:58.719
<v Speaker 2>of tension has been paid to bank balances. You know,

0:49:58.760 --> 0:50:03.040
<v Speaker 2>previously we were all concerned with how much money was

0:50:03.120 --> 0:50:06.920
<v Speaker 2>in savings accounts and checking accounts just to gauge the

0:50:06.920 --> 0:50:12.839
<v Speaker 2>health of the consumer his cup overfloweth right, But now

0:50:12.880 --> 0:50:16.040
<v Speaker 2>we were all just looking at you know, deposit outflows

0:50:16.040 --> 0:50:18.040
<v Speaker 2>to gauge the health of the banks. I think we've

0:50:18.040 --> 0:50:20.319
<v Speaker 2>gotten back. We've put that banking issue in the rear

0:50:20.400 --> 0:50:24.000
<v Speaker 2>view mirror, and now we're concerned about the consumer credit

0:50:24.080 --> 0:50:25.920
<v Speaker 2>use and the possibility of a credit crunch.

0:50:26.960 --> 0:50:29.760
<v Speaker 13>All great questions. So I think a lot of about

0:50:29.920 --> 0:50:34.000
<v Speaker 13>cash flow, and you know, I think we just talked

0:50:34.040 --> 0:50:37.080
<v Speaker 13>about CAPEX and companies are in a position where they

0:50:37.200 --> 0:50:40.000
<v Speaker 13>probably have less cash flow. We saw that impact some

0:50:40.080 --> 0:50:42.640
<v Speaker 13>of the you know, private equity world and some of

0:50:42.640 --> 0:50:45.360
<v Speaker 13>the venture companies, which caused the problems that you know

0:50:45.440 --> 0:50:49.400
<v Speaker 13>we saw at Silicon Valley Bank. In terms of the consumer,

0:50:49.480 --> 0:50:51.759
<v Speaker 13>I think that consumers are also at a point where

0:50:51.800 --> 0:50:55.200
<v Speaker 13>as you pointed out low savings rate right we also

0:50:55.320 --> 0:50:58.520
<v Speaker 13>have a cliff that is happening in terms of the

0:50:58.560 --> 0:51:02.279
<v Speaker 13>support that consumers see from the government, So there's not

0:51:02.360 --> 0:51:05.880
<v Speaker 13>going to be those tailwinds for the consumer. I think

0:51:06.440 --> 0:51:08.799
<v Speaker 13>the one positive for the consumer right now is that

0:51:08.840 --> 0:51:11.759
<v Speaker 13>the labor market is still very strong, and so we're

0:51:11.760 --> 0:51:15.040
<v Speaker 13>not expecting the consumer to createor here, but we do

0:51:15.120 --> 0:51:19.080
<v Speaker 13>expect consumer spending to slow. I think it also takes

0:51:19.080 --> 0:51:22.120
<v Speaker 13>a long time for behavior to change. So everyone's still

0:51:22.200 --> 0:51:24.799
<v Speaker 13>kind of on a high from the reopening of the

0:51:25.320 --> 0:51:28.480
<v Speaker 13>economy right now, and there's still a lot of spend

0:51:28.480 --> 0:51:30.840
<v Speaker 13>on travel and restaurants, and we see all of that,

0:51:31.320 --> 0:51:35.919
<v Speaker 13>but the lower income consumer is spending on credit card

0:51:35.960 --> 0:51:39.279
<v Speaker 13>debt right now. The higher end consumer still has a

0:51:39.320 --> 0:51:45.480
<v Speaker 13>wherewithal to spend. But we expect that the pressures will

0:51:45.520 --> 0:51:48.719
<v Speaker 13>be coming forth in the next several quarters that there

0:51:48.719 --> 0:51:51.400
<v Speaker 13>would be more pressure on the consumer.

0:51:52.280 --> 0:51:54.040
<v Speaker 1>Karen, I see kind of it in your notes here.

0:51:54.080 --> 0:51:58.080
<v Speaker 1>You have an ESG investing license now, Matt and I

0:51:58.239 --> 0:52:00.920
<v Speaker 1>kind of share I think what is a growing skepticism

0:52:01.000 --> 0:52:04.200
<v Speaker 1>of ESG investing. We're not like the state of Florida

0:52:04.280 --> 0:52:06.520
<v Speaker 1>or anything, but you know, it's it's it's there, under

0:52:06.560 --> 0:52:09.400
<v Speaker 1>the under the under the surface here. How do you

0:52:09.440 --> 0:52:12.760
<v Speaker 1>guys at Fiduciary Trust think about ESG.

0:52:13.200 --> 0:52:17.560
<v Speaker 13>Sure, it certainly is a topic of interest. I would

0:52:17.640 --> 0:52:20.720
<v Speaker 13>say that a lot, a lot more of our clients

0:52:20.760 --> 0:52:25.680
<v Speaker 13>were interested in ESG investing and impact investing. I think

0:52:25.719 --> 0:52:29.080
<v Speaker 13>some of that maybe definitely last year took a little

0:52:29.120 --> 0:52:32.319
<v Speaker 13>bit of a turn in terms of you know, ESG

0:52:33.080 --> 0:52:38.279
<v Speaker 13>investing has been somewhat correlated to growth investing and correlated

0:52:38.400 --> 0:52:42.760
<v Speaker 13>with technology. The way that we think about ESG investing

0:52:42.880 --> 0:52:46.160
<v Speaker 13>is we actually do believe that when you look at

0:52:46.800 --> 0:52:52.160
<v Speaker 13>the ESG factors like environmental factors, social factors and incorporate

0:52:52.200 --> 0:52:56.480
<v Speaker 13>that into your thinking, incorporate that into your analysis, it

0:52:56.560 --> 0:53:01.120
<v Speaker 13>actually should help yield longer term better results. And the

0:53:01.200 --> 0:53:03.759
<v Speaker 13>reason for that, and you know, sort of kind of

0:53:03.760 --> 0:53:07.880
<v Speaker 13>fold into our investment philosophy, is that we believe companies

0:53:07.920 --> 0:53:11.720
<v Speaker 13>that are forward thinking and think about their business risks

0:53:11.719 --> 0:53:14.359
<v Speaker 13>and to understand the trends that are occurring in the

0:53:14.400 --> 0:53:19.680
<v Speaker 13>marketplace will be in a better position to handle those

0:53:19.800 --> 0:53:22.640
<v Speaker 13>risks and to capture the opportunities when it comes to

0:53:22.760 --> 0:53:26.719
<v Speaker 13>changing consumer behavior, changing consumer trends, and even some of

0:53:26.760 --> 0:53:30.279
<v Speaker 13>the you know, risks that might be coming forth from

0:53:30.280 --> 0:53:34.400
<v Speaker 13>a regulatory standpoint or just from what's happening from a

0:53:34.440 --> 0:53:36.759
<v Speaker 13>business standpoint. So when you do it right, it can

0:53:36.840 --> 0:53:40.800
<v Speaker 13>be very beneficial. I think the issue is that you

0:53:41.200 --> 0:53:44.839
<v Speaker 13>do you know. I think what raises your question is

0:53:45.000 --> 0:53:49.279
<v Speaker 13>are people labeling ESG investing accurately?

0:53:49.680 --> 0:53:49.880
<v Speaker 12>You know?

0:53:49.920 --> 0:53:52.600
<v Speaker 13>And I think it's important for investors to really understand

0:53:52.920 --> 0:53:55.080
<v Speaker 13>what's underneath the ESG labels.

0:53:55.640 --> 0:53:55.839
<v Speaker 3>Yeah.

0:53:55.920 --> 0:53:59.680
<v Speaker 2>Well, I mean some people will put big integrated oil

0:54:00.160 --> 0:54:04.520
<v Speaker 2>producers in their ESG basket, which I can understand. You

0:54:04.560 --> 0:54:08.839
<v Speaker 2>can kind of do some mental gymnastics and justify it,

0:54:08.920 --> 0:54:11.439
<v Speaker 2>but at the end of the day, I mean they're

0:54:11.520 --> 0:54:13.080
<v Speaker 2>mining for hydrocarbons, right.

0:54:13.800 --> 0:54:16.920
<v Speaker 13>Yeah, So it's important to really understand again, you know,

0:54:16.960 --> 0:54:19.960
<v Speaker 13>to your point, what is in the portfolio, what is

0:54:20.000 --> 0:54:25.120
<v Speaker 13>in the investment strategy? And ESG investing doesn't necessarily mean

0:54:25.160 --> 0:54:29.719
<v Speaker 13>that you exclude fossil fuels or exclude energy stocks, but

0:54:29.840 --> 0:54:35.360
<v Speaker 13>it's about finding the highest quality companies and to understand

0:54:35.400 --> 0:54:39.279
<v Speaker 13>the level of admissions and work with clients and for

0:54:39.360 --> 0:54:42.040
<v Speaker 13>those investors to understand what level of tolerance that they're

0:54:42.080 --> 0:54:44.439
<v Speaker 13>willing to take and what the opportunities are.

0:54:44.719 --> 0:54:46.759
<v Speaker 3>Karen, thank you so much for joining us. Really appreciate it.

0:54:46.840 --> 0:54:51.040
<v Speaker 1>Karen Peg, head of Portfolio Management Equities for Fiduciary Trust International,

0:54:51.120 --> 0:54:53.120
<v Speaker 1>joining us in the Bloomberg.

0:54:52.719 --> 0:54:55.200
<v Speaker 3>INARCT Approper Studios. You get a gold star for showing up.

0:54:56.320 --> 0:54:58.799
<v Speaker 2>Thanks for listening to the Bloomberg Markets podcast.

0:54:59.160 --> 0:54:59.960
<v Speaker 3>You can subscribe.

0:55:00.000 --> 0:55:03.200
<v Speaker 2>I've been listening to interviews at Apple Podcasts or whatever

0:55:03.280 --> 0:55:07.000
<v Speaker 2>podcast platform you prefer. I'm Matt Miller. I'm on Twitter

0:55:07.239 --> 0:55:09.280
<v Speaker 2>at Matt Miller nineteen seventy three.

0:55:09.600 --> 0:55:11.960
<v Speaker 3>And I'm Paul Sweeney. I'm on Twitter at pt Sweeney.

0:55:12.080 --> 0:55:14.759
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0:55:14.760 --> 0:55:17.360
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