WEBVTT - US Stocks Rally After Jobless Claim Data

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News. You're listening to the

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<v Speaker 2>Alex Ci alongside Paul Sweeny, Welcome to Bloomberg Intelligence Radio.

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<v Speaker 2>We are broadcasting to you live from Interactive Brokers Studio

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<v Speaker 2>right here in Midtown Manhattan. Also check us out on

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<v Speaker 2>YouTube as well. What do you do in the market?

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<v Speaker 2>I mean the Nastak one hundred is up by two percent.

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<v Speaker 2>It has been an extremely difficult week in the market

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<v Speaker 2>if you count last Friday, just in terms of understanding

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<v Speaker 2>where we are, where positioning is and is the market complacent?

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<v Speaker 2>I mentioned the Vicks at twenty five. Joining us now

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<v Speaker 2>is Brian Whale and chief investment officer and a generalist

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<v Speaker 2>portfolio manager over at TCW joins US now. Hey, Brian,

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<v Speaker 2>are we complacent here at this point or is this

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<v Speaker 2>a buying opportunity?

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<v Speaker 3>I think it's a buying opportunity in the bond market.

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<v Speaker 3>We've had a little bit of a backup. I think

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<v Speaker 3>everything we saw you know, earlier this week Sunday night

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<v Speaker 3>into Monday was it was a bit of panic. You know,

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<v Speaker 3>we've been in the very barished camp with regards to

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<v Speaker 3>the economy. But even we would were dismissing the notion

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<v Speaker 3>of some intermeding cut. We thought that was that was

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<v Speaker 3>a foolish way to think about the world. So I

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<v Speaker 3>think this is this is kind of calm, This is

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<v Speaker 3>the market kind of settling in here a little bit.

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<v Speaker 3>You know, even though we've backed off in bond yields

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<v Speaker 3>since the lows on Monday morning, if if you just

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<v Speaker 3>take a step back for a second, you know, the

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<v Speaker 3>five year as just kind of an indicator of yields

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<v Speaker 3>has come down fifty basis points since we started the quarter,

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<v Speaker 3>so since you know, since July one, and that's a

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<v Speaker 3>big move. And I think that's very much in line

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<v Speaker 3>with you know, the the notions and everyone in the

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<v Speaker 3>fairytale camp of no landing kind of being shaken a

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<v Speaker 3>little bit. We've seen a couple of months of of

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<v Speaker 3>slowing economic data and the one economic kind of data

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<v Speaker 3>point that had been holding up that no landing camp,

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<v Speaker 3>which was the headline payrolls number, you know, that got

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<v Speaker 3>knocked off a little bit on Friday, and so if

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<v Speaker 3>you kind of forget the noise early in the week,

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<v Speaker 3>this looks like a kind of the right place to

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<v Speaker 3>settle in Brian.

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<v Speaker 4>When you walked out onto the TCW trading floor on

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<v Speaker 4>Monday morning, what were your traders telling you?

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<v Speaker 3>It was, you know that metrics didn't make sense. Things

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<v Speaker 3>were moving all over the place. Liquidity was very poor.

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<v Speaker 3>You know, you saw the vicks. You know, I think

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<v Speaker 3>at one point it was that you know, in toyday

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<v Speaker 3>was well over fifty, which looked it was in a sixties. Yeah,

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<v Speaker 3>it looked more like an apple. It looked like it

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<v Speaker 3>looked like an It looked like a like a stock

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<v Speaker 3>market crash.

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<v Speaker 1>It didn't.

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<v Speaker 3>It did not look like a market where a headline employee.

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<v Speaker 3>You know, the rate should have been one hundred and

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<v Speaker 3>seventy five thousand growth on the payrolls number, and it

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<v Speaker 3>came in one hundred and fourteen thousand, and the unemployment

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<v Speaker 3>rate went from you know, four point one to four

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<v Speaker 3>point three. I mean, that's that's that's indi indicative of

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<v Speaker 3>a slowing economy and a slower labor for worse than

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<v Speaker 3>maybe one that's weaker than the market was expecting, and

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<v Speaker 3>it probably will cause the FED to have to cut

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<v Speaker 3>more aggressively than the market was pricing beforehand. But sure,

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<v Speaker 3>it sure wasn't panic.

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<v Speaker 5>Well what did you make of the ten year auction yesterday?

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<v Speaker 5>It wasn't good.

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<v Speaker 2>It just was pretty bad again, thirty year coming today?

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<v Speaker 2>The three year was fine. You know, our jersey tells

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<v Speaker 2>me I should care about these things.

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<v Speaker 6>I know, yeah, I know.

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<v Speaker 5>What did you make that?

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<v Speaker 3>You know, it's it's it's it's the same thing I

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<v Speaker 3>make of what I this morning. You know, it's it's

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<v Speaker 3>gappy price action. It's it's it's a nervous market. I mean,

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<v Speaker 3>you saw, you know, a little bit of supply. You know,

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<v Speaker 3>the street pushes it around. You got a higher yield

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<v Speaker 3>this morning. You know, initial jobless games come in just

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<v Speaker 3>a hair under expectations. Although the four week moving average

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<v Speaker 3>keeps moving up, continue it continued claims continues to stay hi.

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<v Speaker 3>So the fact that we're off ten basis points in

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<v Speaker 3>the market is just it's a market trying to find

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<v Speaker 3>its footing, almost trying to you know, almost trying to

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<v Speaker 3>catch its breath a little bit, which is which is

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<v Speaker 3>a healthy thing. I think what we would contend is,

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<v Speaker 3>you know, this is maybe not the breath you take

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<v Speaker 3>because everything is going to be all right, more like

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<v Speaker 3>the breath you take before you take the punch. And

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<v Speaker 3>so you know, over the next few over the next

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<v Speaker 3>few months, what we're probably going to see, at least

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<v Speaker 3>we expect is is more of the same, which is

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<v Speaker 3>the economic data continuing to slow and the FED is

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<v Speaker 3>going to have to react to that.

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<v Speaker 4>Brian, where do you see opportunities in the fixing can

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<v Speaker 4>market here? Given some of the volatility we've seen over

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<v Speaker 4>the last several days.

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<v Speaker 3>It's a boring answer. I'd say the opportunities maybe agency

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<v Speaker 3>mortgages aside, but at a high level of the opportunities

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<v Speaker 3>is in duration and in liquidity, like keep keep your

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<v Speaker 3>powder dry, because you know, I'm not saying we're going

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<v Speaker 3>to have vixed days of you know, of north of

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<v Speaker 3>sixty again. But if we enter the fall and the

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<v Speaker 3>narrative and you start reading more about a recession and

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<v Speaker 3>the job market turns from one of where companies are

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<v Speaker 3>just not hiring but actually starts to fire, what you're

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<v Speaker 3>going to see then is concerned about earnings growth and

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<v Speaker 3>the ability of companies to service their debt, and then

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<v Speaker 3>there's going to be conversation around downgrades and what happens

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<v Speaker 3>then in terms of pricing and like our trading floor

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<v Speaker 3>and the opportunities we're looking for. Corporate bonds are going

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<v Speaker 3>to get cheaper relative to treasuries, highyield bonds, emerging market bonds,

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<v Speaker 3>they're all going to get cheaper. And that's the that's

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<v Speaker 3>a really nice buying opportunity because in the bond world now,

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<v Speaker 3>not only can you kind of buy cheap credit and

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<v Speaker 3>get the benefits of spread duration and that's another conversation,

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<v Speaker 3>but you can also get carry and you can also

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<v Speaker 3>get the advantage of like diversification into portfolio because you know,

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<v Speaker 3>with yields across the curve right now at four percent,

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<v Speaker 3>you know, bonds can be bonds again, so they can

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<v Speaker 3>act as that hedge of that offset into an environment

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<v Speaker 3>where we get volatility and equities to cline.

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<v Speaker 5>So two things with corporates.

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<v Speaker 2>One, we saw a record amount of issuance yesterday in

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<v Speaker 2>the investment grade market all year. And then also the

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<v Speaker 2>spreads have not blown out at all like in the

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<v Speaker 2>last few days. Yeah, they moved up, but we haven't

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<v Speaker 2>blown out. And I'm just wondering if there's more priced

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<v Speaker 2>appreciation here to come.

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<v Speaker 3>Definitely, it's a trillion dollars a little over a trillion

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<v Speaker 3>dollars of issuance year to date, which is very high.

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<v Speaker 3>But yeah, look like just to put things in kind

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<v Speaker 3>of context for everybody here and watch this stuff day

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<v Speaker 3>to day. I mean, you know, investment, great corporate bonds

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<v Speaker 3>kind of on the tight end, meaning like the amount

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<v Speaker 3>of yield you get over treasuries doesn't get much tighter

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<v Speaker 3>than about point eight percent, you know, eighty basis points.

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<v Speaker 3>We're sitting at about one hundred basis points. Historical averages

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<v Speaker 3>just even excluding like big moves like the Great Financial Crisis,

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<v Speaker 3>historical averages are about one hundred and twenty one hundred

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<v Speaker 3>and twenty five basis points. So you know that was

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<v Speaker 3>kind of us too on Monday when it's like, look

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<v Speaker 3>the market, everybody's got to calm down a little bit. Like,

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<v Speaker 3>you know, at one hundred basis points over, corporate bonds

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<v Speaker 3>still look expensive. So be patient. You know, this this

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<v Speaker 3>may not be a recession that we kind of jump

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<v Speaker 3>into in and overnight. This just may be an old

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<v Speaker 3>fashioned recession where we're just going to have to walk

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<v Speaker 3>our way into it. So as an investor, you've got

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<v Speaker 3>to keep that kind of long term perspective in mind

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<v Speaker 3>and preserve that capital. You know, if you've got that cash,

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<v Speaker 3>that's worth a lot because you'll be able to spend

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<v Speaker 3>it in very wise ways, probably throughout the remainder of

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<v Speaker 3>the year and into early next year.

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<v Speaker 4>So, Brian, when the phone calls do from Wall Street

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<v Speaker 4>with these new issues, what kind of calls do you take?

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<v Speaker 6>Do you take everything?

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<v Speaker 4>I mean, because you've got capital deploy are you focusing

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<v Speaker 4>just on the highest quality stuff? What kind of phone

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<v Speaker 4>calls do you take from Wall Street these days?

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<v Speaker 3>I think the way I've described is like, don't call

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<v Speaker 3>us when you think we need you, call us when

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<v Speaker 3>you need us. You know that that's that is That

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<v Speaker 3>is like a good way to describe what we call

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<v Speaker 3>like the liquidity premium, which is and I was talking

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<v Speaker 3>about cash before, like you know, if you want the

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<v Speaker 3>opportunities when people are calling you on the phone and

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<v Speaker 3>saying we've got a problem or somebody needs to sell

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<v Speaker 3>and et cetera, and it's like, Okay, what you hear

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<v Speaker 3>seems like going on to like a dealer's like a

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<v Speaker 3>car lot, you know, somebody's like, look, I got to

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<v Speaker 3>get rid of this thing, you know, blah blah. Same thing. Like,

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<v Speaker 3>as an investor, you want to wait for the opportunities

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<v Speaker 3>where Wall Street calls you and says, look, here's an opportunity.

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<v Speaker 3>Here's the price. I know, you know where regular market

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<v Speaker 3>pricing is, and you know, what do you think? And

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<v Speaker 3>that's that's what you wait for. It It happens kind

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<v Speaker 3>of infrequently, but that's where you can make the big money.

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<v Speaker 5>Where do you think we're going to see the most volatility?

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<v Speaker 3>That's a good question, you know. In the short term,

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<v Speaker 3>you know, we'll see it uh in uh and obviously

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<v Speaker 3>in interest rates. I think the next thing that would

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<v Speaker 3>probably be a your what we call these high data

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<v Speaker 3>parts of fixed income, like like high yield and emerging markets.

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<v Speaker 3>I think down the line, you know, so so the

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<v Speaker 3>public liquid markets will react first, and that's where you

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<v Speaker 3>will see the vall also throw you know, they'll probably

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<v Speaker 3>see some some currency volatility in there too. But down

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<v Speaker 3>the line, if we do get a true recession, there'll

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<v Speaker 3>be a shake up, you know, in in everybody's favorite

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<v Speaker 3>market today, which is private credit, and there's there's some

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<v Speaker 3>you know, private credits here to stay and and you know,

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<v Speaker 3>there's some some great things about it. However, it's been

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<v Speaker 3>too easy for too long uh and there's going to

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<v Speaker 3>have to be a shakeout uh And and that's a

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<v Speaker 3>healthy thing for the market in the long term. And

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<v Speaker 3>so in the short term, focus on those kind of

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<v Speaker 3>liquid markets like like like high yield bonds for instance,

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<v Speaker 3>UH currencies, and then in the longer term that'll probably

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<v Speaker 3>roll into less liquid parts of the market.

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<v Speaker 4>All Right, Brian, thanks so much for joining us. Really

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<v Speaker 4>appreciate Brian Whalen. He's a chief investment officer. That means

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<v Speaker 4>he's a big dude and a generalist portfolio manager TCW.

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<v Speaker 4>I tell you I've worked at TCW when I was

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<v Speaker 4>on a cell side twenty some odd years.

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<v Speaker 6>I knew I had like four or five relationships good

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<v Speaker 6>relationships there.

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<v Speaker 5>Oh, really smart, super smart.

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<v Speaker 6>Yeah, I mean like across.

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<v Speaker 4>The board, like I avoided the fixicing floor, like the plague.

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<v Speaker 4>I went to the equity floor because that's they were.

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<v Speaker 7>You know.

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<v Speaker 2>That's so I think people are really smart when they

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<v Speaker 2>can break things down in language that I understand. Like

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<v Speaker 2>that's the pure sign, Like you're so smart you can

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<v Speaker 2>dumb it down right, And.

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<v Speaker 3>That's how Brian Wentlest principle was where can I make

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<v Speaker 3>the most money?

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<v Speaker 6>Where can I make the most.

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<v Speaker 5>Money as he should? Exactly as he should.

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<v Speaker 4>I tell you go to Los Angeles. There's two meetings.

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<v Speaker 4>You have to get TCW and Capitol Group. Everything else

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<v Speaker 4>is just gravy.

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<v Speaker 6>If you get that, that's like.

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<v Speaker 4>Eighty percent of the votes, eighty percent of the commission

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<v Speaker 4>dollars out of those two shops.

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<v Speaker 5>Yeah, duh, Tucker, he didn't know that, Geese.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:10:04.559 --> 0:10:08.080
<v Speaker 1>weekdays at ten am Eastern on applecard Play and Android

0:10:08.120 --> 0:10:10.880
<v Speaker 1>Auto with the Bloomberg Business App. You can also listen

0:10:11.000 --> 0:10:14.120
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:10:14.480 --> 0:10:18.240
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:10:19.000 --> 0:10:21.160
<v Speaker 4>All right, let's check in with our good friend Claudia Sam.

0:10:21.240 --> 0:10:24.439
<v Speaker 4>She's a chief economist, that New Century Advisor's former Federal

0:10:24.440 --> 0:10:28.480
<v Speaker 4>Reserve economist, and a Bloomberg opinion columnist. And she's got

0:10:28.480 --> 0:10:30.839
<v Speaker 4>this thing called the Sam Rule. Now, I'm not an economist.

0:10:30.840 --> 0:10:34.440
<v Speaker 4>I think marginal revenue, marginal cost. That's my extensive knowledge

0:10:34.600 --> 0:10:35.360
<v Speaker 4>of economics.

0:10:35.760 --> 0:10:37.319
<v Speaker 6>Claudia, thanks so much, for joining us here.

0:10:37.440 --> 0:10:40.040
<v Speaker 4>Can you just summarize for our listeners our viewers what

0:10:40.080 --> 0:10:44.280
<v Speaker 4>the sum rule says and was it triggered on Friday

0:10:44.360 --> 0:10:45.680
<v Speaker 4>with the job support.

0:10:46.559 --> 0:10:49.640
<v Speaker 7>So it's a recession indicator. So it uses changes in

0:10:49.679 --> 0:10:53.720
<v Speaker 7>the unemployment rate over a year to it has a

0:10:53.760 --> 0:10:58.840
<v Speaker 7>threshold and compares that to historical episodes of recessions. And

0:10:59.120 --> 0:11:01.520
<v Speaker 7>you know that's when it turns on. It has turned

0:11:01.559 --> 0:11:04.640
<v Speaker 7>on historically inside in the early months of not a forecast,

0:11:04.640 --> 0:11:07.800
<v Speaker 7>in the early months of a recession. And with the

0:11:08.120 --> 0:11:11.480
<v Speaker 7>employment report on July it the som rull crossed the

0:11:11.679 --> 0:11:16.840
<v Speaker 7>half a percentage point threshold, and so it's indicating a recession.

0:11:17.200 --> 0:11:21.080
<v Speaker 7>Are we in a recession my expert opinion looking broadly

0:11:21.120 --> 0:11:25.000
<v Speaker 7>as no, we are not, but that increasing unemployment rate

0:11:25.000 --> 0:11:27.520
<v Speaker 7>that we have seen over a year plus is very

0:11:27.559 --> 0:11:30.240
<v Speaker 7>disconcerting and we're not pointed in the right direction in

0:11:30.320 --> 0:11:32.040
<v Speaker 7>terms of where we're trending.

0:11:32.440 --> 0:11:35.040
<v Speaker 2>This is why I really loved your Bloomberg opinion piece yesterday,

0:11:35.040 --> 0:11:36.840
<v Speaker 2>because it feels like a lot of people are coming

0:11:36.880 --> 0:11:39.599
<v Speaker 2>on talking about your rule and how that is de

0:11:39.720 --> 0:11:42.120
<v Speaker 2>facto then we're in a recession. As reason for the

0:11:42.160 --> 0:11:45.760
<v Speaker 2>FED to do something, maybe bigger or an emergency way,

0:11:45.880 --> 0:11:47.640
<v Speaker 2>and you come out with an article that says US

0:11:47.679 --> 0:11:50.480
<v Speaker 2>isn't in a recession despite the indicator, my recession rule

0:11:50.559 --> 0:11:51.560
<v Speaker 2>was meant to be broken.

0:11:51.840 --> 0:11:52.760
<v Speaker 5>What does that mean.

0:11:55.000 --> 0:11:59.440
<v Speaker 7>When we think about this cycle from the pandemic on

0:11:59.480 --> 0:12:01.920
<v Speaker 7>the last four and a half years, the disruptions to

0:12:01.960 --> 0:12:06.000
<v Speaker 7>the US economy have been in many ways unprecedented, and

0:12:06.360 --> 0:12:10.319
<v Speaker 7>in particular, we've had some really big disruptions to supply,

0:12:11.040 --> 0:12:14.640
<v Speaker 7>which are typical boom and bust indicators recession, high inflation,

0:12:14.720 --> 0:12:18.319
<v Speaker 7>low inflation. Those are about demand and so the some

0:12:18.559 --> 0:12:23.360
<v Speaker 7>rule I, in my opinion, is getting overstated by some

0:12:23.400 --> 0:12:26.079
<v Speaker 7>of the really abrupt shifts and labor supply in the

0:12:26.200 --> 0:12:31.040
<v Speaker 7>last several years. And that's just some of the unployment

0:12:31.080 --> 0:12:33.720
<v Speaker 7>rate increase is the good kind. It's people who come

0:12:33.760 --> 0:12:36.960
<v Speaker 7>in want to work, they will get jobs. It'll be growth.

0:12:37.320 --> 0:12:40.720
<v Speaker 7>But in the interim that looks like the unemployment rate

0:12:40.800 --> 0:12:44.439
<v Speaker 7>rising in the recession, there's some of the bad unemployment

0:12:44.480 --> 0:12:46.319
<v Speaker 7>in there too. So that's where it gets really hard,

0:12:46.360 --> 0:12:49.000
<v Speaker 7>and you know, it's difficult to hear. I'm happy to

0:12:49.040 --> 0:12:52.640
<v Speaker 7>have sparked a robust conversation. This is really really important

0:12:53.120 --> 0:12:57.280
<v Speaker 7>to know if we're in or headed towards a recession

0:12:57.320 --> 0:13:00.720
<v Speaker 7>because our policy actions that can be taken, and so

0:13:00.840 --> 0:13:04.800
<v Speaker 7>you know, it's it's I'm using the tool and other

0:13:04.920 --> 0:13:06.600
<v Speaker 7>data just like anybody else.

0:13:07.440 --> 0:13:09.880
<v Speaker 4>So, Claudia, what do you make of an unemployment rate

0:13:09.920 --> 0:13:11.120
<v Speaker 4>of four point three percent?

0:13:11.600 --> 0:13:14.679
<v Speaker 6>To me, in my experience, that's still low.

0:13:14.800 --> 0:13:17.400
<v Speaker 4>I guess if you want to get concerned about the trend,

0:13:17.520 --> 0:13:17.800
<v Speaker 4>I e.

0:13:17.880 --> 0:13:19.600
<v Speaker 6>It's moving higher, that's a concern.

0:13:19.679 --> 0:13:22.840
<v Speaker 4>But in and of itself four point three percent, how

0:13:22.880 --> 0:13:24.400
<v Speaker 4>does that kind of stack up for you?

0:13:25.559 --> 0:13:25.719
<v Speaker 3>Right?

0:13:25.760 --> 0:13:29.800
<v Speaker 7>So, if if our concern is about the direction we're

0:13:29.840 --> 0:13:32.400
<v Speaker 7>pointed in, are we headed towards the recession? Are we

0:13:32.520 --> 0:13:36.360
<v Speaker 7>enter recession? The relevant metric is the change and the

0:13:36.440 --> 0:13:40.720
<v Speaker 7>unemployment rate. The level is important. Sometimes it's unsustainably low,

0:13:40.760 --> 0:13:43.320
<v Speaker 7>like earlier when we had the labor shortages, the unemployment

0:13:43.360 --> 0:13:44.640
<v Speaker 7>rate in the United States, when I got down to

0:13:44.679 --> 0:13:47.360
<v Speaker 7>three point four percent, that was because we were missing

0:13:47.360 --> 0:13:49.960
<v Speaker 7>some workers too, right, Like that wasn't going to stick.

0:13:50.040 --> 0:13:52.920
<v Speaker 7>So sometimes, like you know, within bounds, sometimes the level

0:13:52.920 --> 0:13:55.640
<v Speaker 7>does tell us something. But at four point three percent,

0:13:55.720 --> 0:13:59.959
<v Speaker 7>this is very much consistent with the demographics of our

0:14:00.559 --> 0:14:04.440
<v Speaker 7>We have an older, more experienced workforce four percent unemployment

0:14:04.520 --> 0:14:08.640
<v Speaker 7>that that's much more like you would expect or predict,

0:14:08.960 --> 0:14:10.960
<v Speaker 7>So that we're not four point three is not like,

0:14:11.000 --> 0:14:14.040
<v Speaker 7>oh wow, this is really low. It's not sustainable. And

0:14:14.080 --> 0:14:17.520
<v Speaker 7>we've gone into recessions in the past with lower unemployment

0:14:17.559 --> 0:14:20.240
<v Speaker 7>than now and also higher so the level itself is

0:14:20.360 --> 0:14:23.080
<v Speaker 7>not a protection against a recession.

0:14:23.440 --> 0:14:26.280
<v Speaker 2>Paul pointing to himself when he said older workforce seasoned,

0:14:26.320 --> 0:14:31.520
<v Speaker 2>we think season experience, Claudia to that point, how do

0:14:31.600 --> 0:14:33.840
<v Speaker 2>I understand the fact that you had a huge move

0:14:33.880 --> 0:14:37.120
<v Speaker 2>in the bond market when initial jobless claims came out.

0:14:37.200 --> 0:14:41.480
<v Speaker 2>They're volatile, their seasonality, they change, and yet we're still

0:14:41.680 --> 0:14:44.240
<v Speaker 2>having such market sensitivity to that.

0:14:44.360 --> 0:14:46.280
<v Speaker 5>Where does that kind of tell you about where we are?

0:14:47.360 --> 0:14:50.920
<v Speaker 7>Right? Well, this is very much this question about the

0:14:51.040 --> 0:14:56.440
<v Speaker 7>dynamics the recession, right, It's not this isn't about this

0:14:56.520 --> 0:14:58.000
<v Speaker 7>hole rule, but it captures it.

0:14:58.080 --> 0:14:58.200
<v Speaker 8>Right.

0:14:58.240 --> 0:15:00.960
<v Speaker 7>This is why this almost worked historic is you get

0:15:01.000 --> 0:15:05.240
<v Speaker 7>periods where the unemployment rate starts coming up gradually, and

0:15:05.280 --> 0:15:07.640
<v Speaker 7>then it picks up steam, and then it goes up

0:15:07.680 --> 0:15:10.400
<v Speaker 7>a lot. And we had some signals that were in

0:15:10.400 --> 0:15:12.840
<v Speaker 7>this stage. It's been going up slowly and gradually, and

0:15:12.880 --> 0:15:15.360
<v Speaker 7>with the July employment report, things look like they were

0:15:15.360 --> 0:15:19.120
<v Speaker 7>picking up steam in the wrong way, and so that's

0:15:19.160 --> 0:15:21.680
<v Speaker 7>the concern. And then then what we're looking for and

0:15:21.800 --> 0:15:26.680
<v Speaker 7>claims data is is that momentum there or was it

0:15:26.800 --> 0:15:28.800
<v Speaker 7>just the weather or this that you know? And so

0:15:28.840 --> 0:15:31.880
<v Speaker 7>I think that's this reaction because we're kind of on this.

0:15:33.520 --> 0:15:35.400
<v Speaker 7>It's not like we're on the knife's edge, but the

0:15:35.520 --> 0:15:39.480
<v Speaker 7>dynamics are like it makes a big difference at this

0:15:39.560 --> 0:15:42.640
<v Speaker 7>point if the increase in the unemployment rates speed up

0:15:42.680 --> 0:15:44.800
<v Speaker 7>or not, because once they get going, they tend to

0:15:45.080 --> 0:15:48.280
<v Speaker 7>you have these negative feedback loops and then you're not

0:15:48.280 --> 0:15:50.200
<v Speaker 7>talking about a half a percentage point increase and then

0:15:50.240 --> 0:15:52.280
<v Speaker 7>employment you're talking about a three percentage point increase.

0:15:52.920 --> 0:15:56.920
<v Speaker 4>Claudia talked to us about the migration component to the

0:15:57.040 --> 0:16:00.560
<v Speaker 4>labor market. How has that impacted the number because again

0:16:00.560 --> 0:16:03.200
<v Speaker 4>we've had a surge in migration on the southern border.

0:16:02.920 --> 0:16:05.080
<v Speaker 6>For the last several years. How's that impacted the numbers?

0:16:05.080 --> 0:16:05.520
<v Speaker 6>Do you think?

0:16:06.680 --> 0:16:06.800
<v Speaker 3>Right?

0:16:06.840 --> 0:16:11.200
<v Speaker 7>Well, first thing, having the immigration and we've had other

0:16:11.840 --> 0:16:14.040
<v Speaker 7>prime age labor force participation that is higher in the

0:16:14.160 --> 0:16:16.560
<v Speaker 7>US right now than it's been in general. So it's

0:16:16.600 --> 0:16:19.840
<v Speaker 7>not just about immigrants. But we it was very important

0:16:19.880 --> 0:16:23.600
<v Speaker 7>to have more labor supply address these labor shortages that

0:16:23.640 --> 0:16:26.360
<v Speaker 7>we'd had, and this has taken prior pressure off of

0:16:26.400 --> 0:16:30.680
<v Speaker 7>wages and inflation and so like that's very good. And

0:16:30.760 --> 0:16:35.160
<v Speaker 7>then we have more supply of workers and that and

0:16:35.280 --> 0:16:38.640
<v Speaker 7>hiring has moderated, right like, the pace has slow down some.

0:16:38.760 --> 0:16:40.680
<v Speaker 7>So now we're in the opposite direction of the jobs

0:16:40.680 --> 0:16:43.200
<v Speaker 7>need to catch up to the workers. So if you

0:16:43.240 --> 0:16:47.360
<v Speaker 7>think about that, this is all in adjustment right like

0:16:47.360 --> 0:16:49.720
<v Speaker 7>where it's it's more of a timing issue. And when

0:16:49.960 --> 0:16:53.800
<v Speaker 7>the reason that the labor supply causing increasing unployment rates

0:16:53.800 --> 0:16:56.080
<v Speaker 7>a good thing is when they when those new workers

0:16:56.120 --> 0:16:59.720
<v Speaker 7>do get jobs, they help us expand the economy, which

0:16:59.760 --> 0:17:03.120
<v Speaker 7>is the exact opposite of this kind of recession watch contracting.

0:17:04.240 --> 0:17:08.440
<v Speaker 7>But I will say, you know, employers have different margins

0:17:08.480 --> 0:17:12.800
<v Speaker 7>to adjust labor demand writ large, and we have seen

0:17:13.400 --> 0:17:18.520
<v Speaker 7>the hiring rates at employers come down to levels that are,

0:17:19.440 --> 0:17:23.119
<v Speaker 7>you know, line up with much higher unemployment rates than

0:17:23.119 --> 0:17:25.359
<v Speaker 7>in the past. So it could be just employers are

0:17:25.400 --> 0:17:27.080
<v Speaker 7>not wanting to lay off as much because they got

0:17:27.119 --> 0:17:31.879
<v Speaker 7>burned in this crisis, and so we're seeing you know,

0:17:31.920 --> 0:17:34.720
<v Speaker 7>it's harder if you're coming in labor force to get jobs.

0:17:34.720 --> 0:17:37.399
<v Speaker 7>So this is really tricky labor market treat and that

0:17:37.440 --> 0:17:39.280
<v Speaker 7>means every single scrap of data we get on the

0:17:39.320 --> 0:17:41.400
<v Speaker 7>labor market is a big deal.

0:17:41.600 --> 0:17:43.320
<v Speaker 2>So Claudia, before I let you go in, but a

0:17:43.359 --> 0:17:46.480
<v Speaker 2>minute left. I'm looking at WERP WRP on the terminal.

0:17:46.720 --> 0:17:48.680
<v Speaker 2>It's looking at twenty five basis points of cuts in

0:17:48.720 --> 0:17:49.720
<v Speaker 2>the next three meetings.

0:17:49.800 --> 0:17:51.080
<v Speaker 5>Is that fair pricing? Right now?

0:17:52.359 --> 0:17:55.440
<v Speaker 7>That is my baseline. I think that's fair fair pricing

0:17:55.600 --> 0:17:59.359
<v Speaker 7>the FED. There is more slowing in the labor market

0:17:59.440 --> 0:18:02.440
<v Speaker 7>than I think is comfortable. We don't need to get

0:18:02.480 --> 0:18:04.600
<v Speaker 7>into a recession for the FED to start acting, So

0:18:04.640 --> 0:18:07.200
<v Speaker 7>I think a little picking up the pace some in

0:18:07.280 --> 0:18:10.399
<v Speaker 7>like three consecutive cuts makes sense. But they're going to

0:18:10.480 --> 0:18:13.920
<v Speaker 7>be very attuned to you know, we've got more information

0:18:13.960 --> 0:18:16.000
<v Speaker 7>on labor market between now in September.

0:18:16.960 --> 0:18:19.080
<v Speaker 4>All right, Claudia, thank you so much for joining us.

0:18:19.240 --> 0:18:21.520
<v Speaker 4>Really appreciate getting some of your time. Claudia sam she

0:18:21.640 --> 0:18:24.760
<v Speaker 4>is the chief economist at New Century Advisors, former Federal

0:18:24.800 --> 0:18:29.719
<v Speaker 4>Reserve economist, and a Bloomberg Opinion opinion writers. We appreciate

0:18:29.720 --> 0:18:31.359
<v Speaker 4>getting some of her time. She's a creator of the

0:18:31.400 --> 0:18:35.919
<v Speaker 4>Psalm rule, a recession indicator, which says, maybe it's not

0:18:36.080 --> 0:18:39.600
<v Speaker 4>tripped today, but it's certainly suggesting that the risks of

0:18:39.640 --> 0:18:41.200
<v Speaker 4>a recession or higher certainly.

0:18:40.920 --> 0:18:41.400
<v Speaker 6>In your term.

0:18:41.480 --> 0:18:43.359
<v Speaker 2>But I love her candor of like, look, I think

0:18:43.440 --> 0:18:45.240
<v Speaker 2>some people are taking this and running with us like

0:18:45.240 --> 0:18:47.600
<v Speaker 2>a little bit too far. There's some more nuances. I

0:18:47.640 --> 0:18:51.160
<v Speaker 2>love that because you don't get that very often, particularly

0:18:51.480 --> 0:18:53.720
<v Speaker 2>in a market that for so long appeared so one

0:18:53.800 --> 0:18:56.040
<v Speaker 2>sided in terms of positioning, that that kind.

0:18:55.880 --> 0:18:57.920
<v Speaker 5>Of nuance is quite important.

0:18:57.960 --> 0:19:01.040
<v Speaker 2>And I have to wonder how complacent and are we still?

0:19:01.200 --> 0:19:03.520
<v Speaker 2>I mean that fade yesterday was not a good sign.

0:19:03.680 --> 0:19:04.440
<v Speaker 6>No it wasn't.

0:19:04.720 --> 0:19:06.760
<v Speaker 4>But again we got the SMP, you know, up one

0:19:06.760 --> 0:19:10.760
<v Speaker 4>point six percent here today, the Russell up one and

0:19:10.760 --> 0:19:12.720
<v Speaker 4>a half percent, the NASTAC up one point eight percent,

0:19:12.760 --> 0:19:15.480
<v Speaker 4>so kind of per some broad market moves hired today.

0:19:15.600 --> 0:19:18.360
<v Speaker 5>Yeah, and the visit twenty five. I remember those days

0:19:18.359 --> 0:19:20.080
<v Speaker 5>where it was twelve, like two weeks ago.

0:19:21.320 --> 0:19:25.200
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:19:25.280 --> 0:19:28.360
<v Speaker 1>weekdays at ten am Eastern on Apple card playing Android

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0:19:31.560 --> 0:19:34.680
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0:19:36.520 --> 0:19:39.600
<v Speaker 2>Alex Steel here alongside Paul Sweeney. This is Bloomberg Intelligence Radio.

0:19:39.680 --> 0:19:41.560
<v Speaker 2>We keep you up to date on all the business

0:19:41.600 --> 0:19:43.679
<v Speaker 2>news and economics and finance that you need with our

0:19:43.760 --> 0:19:46.920
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0:19:46.920 --> 0:19:48.679
<v Speaker 2>one hundred and thirty industries worldwide.

0:19:48.920 --> 0:19:50.200
<v Speaker 5>We also like to dig deep.

0:19:50.040 --> 0:19:54.320
<v Speaker 2>Into the amazing reporting here that we have throughout Bloomberg News.

0:19:55.200 --> 0:19:56.879
<v Speaker 2>And there's a couple of things on that point. One

0:19:57.080 --> 0:19:59.000
<v Speaker 2>is we're going to go to Madison Mueller, who's going

0:19:59.080 --> 0:20:02.160
<v Speaker 2>to talk about Eli Lilley earnings, because that was quite interesting.

0:20:02.280 --> 0:20:04.840
<v Speaker 5>The other is we're going to talk about ozempic town.

0:20:05.600 --> 0:20:06.400
<v Speaker 5>It's a big take.

0:20:06.720 --> 0:20:08.600
<v Speaker 2>You can check it out on our podcast, you can

0:20:08.720 --> 0:20:11.280
<v Speaker 2>check it out in Bloomberg Business Week as well, but

0:20:11.400 --> 0:20:15.159
<v Speaker 2>it's saying it found the biggest town in the United

0:20:15.160 --> 0:20:18.720
<v Speaker 2>States that uses ozempic. It was really cool, great anecdotal evidence,

0:20:18.720 --> 0:20:21.199
<v Speaker 2>and I have lots of questions. Madison joins us now

0:20:21.800 --> 0:20:25.119
<v Speaker 2>in studio verses. Take us through Eli Lily earnings. Is

0:20:25.160 --> 0:20:29.480
<v Speaker 2>this a pure like market share grab from Novo to Ali?

0:20:30.560 --> 0:20:33.080
<v Speaker 9>Not quite yet, So that's what we're We're We've been

0:20:33.160 --> 0:20:36.880
<v Speaker 9>closely watching. Lily is narrowing the gap with Novo Nordisk.

0:20:37.480 --> 0:20:40.640
<v Speaker 9>The sales are coming quite close. I mean, Lily had

0:20:40.960 --> 0:20:43.840
<v Speaker 9>one point two billion in sales of zep Bound, which

0:20:43.920 --> 0:20:46.880
<v Speaker 9>only launched a few months ago, and Novo Nordists had

0:20:47.200 --> 0:20:49.720
<v Speaker 9>one point seven billion in sales of its weight loss

0:20:49.800 --> 0:20:52.600
<v Speaker 9>drugg we Go V, which they reported yesterday. And we

0:20:52.720 --> 0:20:54.879
<v Speaker 9>Gov's been on the market for several years. So Lily

0:20:55.119 --> 0:20:59.119
<v Speaker 9>is like really moving fast. Sales are ramping up extremely quickly,

0:20:59.280 --> 0:21:01.639
<v Speaker 9>and we are watching closely to see what happens.

0:21:01.800 --> 0:21:05.760
<v Speaker 4>I guess the next step for these drugs is I

0:21:05.800 --> 0:21:09.560
<v Speaker 4>guess an oral yea, exactly where are we on that?

0:21:09.840 --> 0:21:10.640
<v Speaker 6>What are the companies saying?

0:21:10.760 --> 0:21:13.840
<v Speaker 9>Both companies have been working on pills, which obviously they

0:21:13.880 --> 0:21:16.600
<v Speaker 9>think could help not only expand the market in the US,

0:21:16.680 --> 0:21:19.639
<v Speaker 9>but expand x US because there are certain markets that

0:21:19.800 --> 0:21:22.960
<v Speaker 9>research has shown prefer pills over shots.

0:21:23.840 --> 0:21:27.320
<v Speaker 10>Japan is one of them, interestingly, so that's kind of

0:21:27.359 --> 0:21:30.920
<v Speaker 10>the next step here. Both of the companies are studying

0:21:31.000 --> 0:21:31.600
<v Speaker 10>these drugs.

0:21:32.600 --> 0:21:35.959
<v Speaker 9>Novo, though, has had a lot of trouble with supply

0:21:36.280 --> 0:21:39.560
<v Speaker 9>and particularly making enough of the active ingredient that's used

0:21:39.600 --> 0:21:42.479
<v Speaker 9>in their drugs. The pill uses the same active ingredient

0:21:42.560 --> 0:21:44.639
<v Speaker 9>and it uses more of it, so they're kind of

0:21:44.800 --> 0:21:48.160
<v Speaker 9>struggling right now. They can't really launch that pill until

0:21:48.200 --> 0:21:49.280
<v Speaker 9>they get a handle on supply.

0:21:50.880 --> 0:21:53.160
<v Speaker 2>Let's go to the big philps are about that didn't

0:21:53.200 --> 0:21:54.560
<v Speaker 2>turn on my mic. Let's go to the big take

0:21:54.600 --> 0:21:57.480
<v Speaker 2>because that was quite interesting and it feeds into the

0:21:57.520 --> 0:22:00.280
<v Speaker 2>whole story. And the title is what it's like when

0:22:00.320 --> 0:22:03.080
<v Speaker 2>o zepic takes over an entire town.

0:22:04.000 --> 0:22:09.240
<v Speaker 4>Wait, great story, thank you, thank you, because I spent

0:22:09.320 --> 0:22:10.639
<v Speaker 4>a ton of time in Bowling Green, Kentucky.

0:22:10.800 --> 0:22:11.720
<v Speaker 10>Really, I know of what you.

0:22:11.720 --> 0:22:14.520
<v Speaker 4>Speak and I send it to a buddy who lives there.

0:22:14.960 --> 0:22:16.520
<v Speaker 4>She knows half the people in the article.

0:22:16.600 --> 0:22:18.159
<v Speaker 10>That's really Oh that's awesome.

0:22:18.560 --> 0:22:18.760
<v Speaker 3>Wow.

0:22:19.000 --> 0:22:22.120
<v Speaker 5>I'm just really curious as to how you found this town.

0:22:22.560 --> 0:22:25.399
<v Speaker 9>So we worked with the data team on this story,

0:22:25.520 --> 0:22:28.680
<v Speaker 9>and we got data at the three zip code levels,

0:22:28.720 --> 0:22:31.600
<v Speaker 9>so we're looking at, you know, cities and sort of

0:22:31.640 --> 0:22:34.840
<v Speaker 9>their surrounding areas, and we were looking all across the country.

0:22:35.040 --> 0:22:38.639
<v Speaker 9>A few other spots came up, like Huntsville, Alabama, and

0:22:38.760 --> 0:22:41.639
<v Speaker 9>we kind of were digging around to see just if

0:22:41.680 --> 0:22:44.359
<v Speaker 9>people were talking about the drugs online. You know if

0:22:44.400 --> 0:22:46.720
<v Speaker 9>there were doctors in the area that were prescribing them.

0:22:47.080 --> 0:22:50.440
<v Speaker 9>And we honed in on Bowling Green specifically because Kentucky

0:22:50.520 --> 0:22:53.480
<v Speaker 9>as a state has the highest concentration of weight loss

0:22:53.520 --> 0:22:55.680
<v Speaker 9>drug users in the country. So we were like, oh, well,

0:22:56.040 --> 0:22:58.040
<v Speaker 9>if this city is showing up in our data, this

0:22:58.200 --> 0:23:01.119
<v Speaker 9>is probably a good a good place to go and

0:23:01.200 --> 0:23:03.640
<v Speaker 9>see what's happening. And so started talking to people there

0:23:03.720 --> 0:23:07.119
<v Speaker 9>and like you know, it kind of spreads like wildfire.

0:23:07.160 --> 0:23:08.800
<v Speaker 9>You talk to one person who's on the drugs and

0:23:08.800 --> 0:23:10.840
<v Speaker 9>they're like, oh, talk to my friend, talk to my neighbor.

0:23:10.960 --> 0:23:12.840
<v Speaker 9>They're on the drugs too, And it just kind of

0:23:13.400 --> 0:23:14.920
<v Speaker 9>was easy to find people after that.

0:23:15.160 --> 0:23:15.960
<v Speaker 6>Why is that?

0:23:16.080 --> 0:23:18.800
<v Speaker 4>Why is it the use so concentrated in a place

0:23:18.840 --> 0:23:20.880
<v Speaker 4>like Kentucky. Is that just simply because there's more people

0:23:21.080 --> 0:23:24.640
<v Speaker 4>there that qualify from a I guess a weight perspective.

0:23:24.480 --> 0:23:26.240
<v Speaker 10>Right, I Mean, that's a piece of it, which is

0:23:26.640 --> 0:23:27.479
<v Speaker 10>actually a good thing.

0:23:27.560 --> 0:23:29.520
<v Speaker 9>I Mean, we hear so much about the drugs in

0:23:29.640 --> 0:23:32.399
<v Speaker 9>New York and in Hollywood, but when we're looking at

0:23:32.400 --> 0:23:35.080
<v Speaker 9>actual obesity rates, those aren't the places that have the

0:23:35.160 --> 0:23:39.840
<v Speaker 9>highest concentration of people with obesity or diabetes. In Kentucky,

0:23:40.560 --> 0:23:44.040
<v Speaker 9>there are high rates of obesity and diabetes. There's also

0:23:44.320 --> 0:23:47.439
<v Speaker 9>there were large employers in the area that were covering

0:23:47.480 --> 0:23:49.879
<v Speaker 9>the drugs so people could get access to them. Bowling

0:23:49.920 --> 0:23:53.399
<v Speaker 9>Green in particular is a very middle class area, so

0:23:53.840 --> 0:23:56.600
<v Speaker 9>when people couldn't get coverage for the drugs, they were

0:23:56.600 --> 0:23:58.600
<v Speaker 9>willing to pay out of pocket for it. So that

0:23:58.760 --> 0:24:02.080
<v Speaker 9>kind of made the conditions ripe for these drugs to

0:24:02.160 --> 0:24:03.359
<v Speaker 9>take off in Bowling Green.

0:24:04.160 --> 0:24:07.000
<v Speaker 2>When when you write the article, you also talk about

0:24:07.160 --> 0:24:10.920
<v Speaker 2>compound drugs here, just walk us through what a compound

0:24:11.000 --> 0:24:14.440
<v Speaker 2>drug is, why it's allowed, and is it legit.

0:24:15.080 --> 0:24:18.200
<v Speaker 9>Yeah, I mean that has been a really big thing

0:24:18.280 --> 0:24:20.040
<v Speaker 9>and a really big part of this weight loss drug

0:24:20.119 --> 0:24:23.400
<v Speaker 9>market as of recently because you know, and that fits

0:24:23.440 --> 0:24:26.120
<v Speaker 9>in with this supply issue. LILLI and Novo have really

0:24:26.200 --> 0:24:29.479
<v Speaker 9>been struggling to keep up with supplies. So when drugs

0:24:29.520 --> 0:24:33.159
<v Speaker 9>are in shortage. Officially, these compounding pharmacies are allowed to

0:24:33.240 --> 0:24:38.000
<v Speaker 9>make similar versions, copycat versions, we call them, to help,

0:24:38.280 --> 0:24:41.440
<v Speaker 9>you know, patients who are unable to get prescriptions.

0:24:40.840 --> 0:24:41.399
<v Speaker 10>For the drugs.

0:24:41.680 --> 0:24:44.800
<v Speaker 9>But what's happened is, you know, in this gap, it's

0:24:44.920 --> 0:24:47.840
<v Speaker 9>kind of allowed these compounding pharmacies to proliferate, and not

0:24:48.040 --> 0:24:51.960
<v Speaker 9>all of them are exactly legitimate. And so there's a

0:24:52.000 --> 0:24:55.080
<v Speaker 9>lot of medical spas that are using the compounding drugs,

0:24:55.160 --> 0:24:58.440
<v Speaker 9>telehealth companies that are selling the compounding drugs, like Hymns

0:24:58.480 --> 0:25:01.200
<v Speaker 9>and hers is one that comes up, and in Bowling

0:25:01.240 --> 0:25:04.159
<v Speaker 9>Green it's really taken off as well. There's like all

0:25:04.240 --> 0:25:07.320
<v Speaker 9>of these medical spas popping up, weight loss clinics popping

0:25:07.400 --> 0:25:11.520
<v Speaker 9>up that are offering compounded or just illegitimate versions of

0:25:11.560 --> 0:25:14.320
<v Speaker 9>the drugs, and you know, that's become a big thing

0:25:14.400 --> 0:25:14.920
<v Speaker 9>there as well.

0:25:15.080 --> 0:25:19.520
<v Speaker 4>Well for the compounded drugs, are they are they as effective?

0:25:19.600 --> 0:25:21.400
<v Speaker 6>Are they safe? What do we know about them?

0:25:21.640 --> 0:25:24.160
<v Speaker 9>That's kind of the problem is because you know, pharmaceutical

0:25:24.200 --> 0:25:27.840
<v Speaker 9>products are so tightly regulated and require so many studies

0:25:27.920 --> 0:25:30.800
<v Speaker 9>from these drug makers, but the compounded drugs are not

0:25:30.880 --> 0:25:33.000
<v Speaker 9>studied and they're not regulated in the same way.

0:25:33.119 --> 0:25:34.920
<v Speaker 10>There's not the same FDA oversight.

0:25:35.040 --> 0:25:38.160
<v Speaker 9>So when we think about are these drugs as effective,

0:25:38.400 --> 0:25:40.880
<v Speaker 9>the answer is like, we don't really know because we don't.

0:25:40.680 --> 0:25:44.040
<v Speaker 10>Have studies that prove that indefinitely, Why would.

0:25:43.800 --> 0:25:44.920
<v Speaker 5>That ever be allowed?

0:25:45.040 --> 0:25:47.160
<v Speaker 2>I don't mean understand like it's it's a tight supply

0:25:47.240 --> 0:25:49.280
<v Speaker 2>shortage YadA YadA. But then why is it like, here's

0:25:49.280 --> 0:25:51.360
<v Speaker 2>an option take a drug that you don't really know work,

0:25:51.440 --> 0:25:51.960
<v Speaker 2>So what's in it?

0:25:52.000 --> 0:25:52.760
<v Speaker 10>Why is that allowed?

0:25:53.040 --> 0:25:55.760
<v Speaker 9>It's because, I mean, normally, like compounding, the reason that

0:25:56.119 --> 0:25:59.320
<v Speaker 9>it exists is more on like an individual basis.

0:25:59.359 --> 0:26:02.040
<v Speaker 10>So if a person is allergic to a certain.

0:26:02.280 --> 0:26:05.679
<v Speaker 9>Ingredient or like a coloring and a drug, compounding pharmacies

0:26:05.720 --> 0:26:09.040
<v Speaker 9>can you know, tailor make those drugs for that specific patient.

0:26:10.000 --> 0:26:11.800
<v Speaker 9>Or if a drug is in shortage and a person

0:26:11.880 --> 0:26:14.440
<v Speaker 9>can't get access to it. It's not really supposed to be.

0:26:15.359 --> 0:26:17.720
<v Speaker 9>They're not supposed to be acting like drug makers. But

0:26:17.840 --> 0:26:19.920
<v Speaker 9>that's kind of what we're seeing happening with these weight

0:26:19.960 --> 0:26:22.120
<v Speaker 9>loss drugs because of the demand for them.

0:26:22.680 --> 0:26:27.480
<v Speaker 4>I mean, great stuff, Madison Moeller, your cohorts, co authors

0:26:27.720 --> 0:26:32.160
<v Speaker 4>Devin Leonard and Tanna's mayor Johnny MCGANI yet mcganni, Okay,

0:26:32.520 --> 0:26:35.200
<v Speaker 4>that's the big take story today a Bloomberg Business Week,

0:26:35.800 --> 0:26:38.520
<v Speaker 4>what it's like when ozepic takes over an entire town.

0:26:38.640 --> 0:26:41.639
<v Speaker 4>In this case, they focused on Bowling Green, Kentucky.

0:26:42.040 --> 0:26:43.479
<v Speaker 2>I did like in the story, I talked about how

0:26:43.520 --> 0:26:46.480
<v Speaker 2>there was like a wellness thing, and then you also

0:26:46.600 --> 0:26:49.080
<v Speaker 2>like Botox next door because it's a zempic.

0:26:48.800 --> 0:26:49.880
<v Speaker 5>Face everyone talks about.

0:26:50.000 --> 0:26:51.520
<v Speaker 2>But like you lose all that weight really fast, but

0:26:51.560 --> 0:26:53.919
<v Speaker 2>then you got all the skin kind of flapping around everywhere.

0:26:54.440 --> 0:26:55.920
<v Speaker 5>The botox to fix it.

0:26:56.040 --> 0:27:01.600
<v Speaker 4>Bowling Green, Kentucky. They make Chevrolet Corvette's and they make underwear.

0:27:02.080 --> 0:27:05.040
<v Speaker 6>Thank you, thanks for the loom Is Baby loom In.

0:27:06.040 --> 0:27:07.040
<v Speaker 7>Really yeah, so that's what.

0:27:07.160 --> 0:27:08.040
<v Speaker 5>Let's also go there.

0:27:08.200 --> 0:27:08.680
<v Speaker 6>That's awesome.

0:27:08.680 --> 0:27:10.840
<v Speaker 5>Okay, so we have like a working.

0:27:10.720 --> 0:27:13.480
<v Speaker 6>Scabrola everyone to thanks.

0:27:14.480 --> 0:27:16.919
<v Speaker 4>Health reporter Bloomberg News, join's life here in a Bloomberg

0:27:16.960 --> 0:27:20.880
<v Speaker 4>Interactive Brokers studio, doing some great reporting on these weight

0:27:20.920 --> 0:27:25.200
<v Speaker 4>loss drugs, which are really really becoming a big phenomenon

0:27:25.440 --> 0:27:26.560
<v Speaker 4>in the healthcare space.

0:27:28.119 --> 0:27:31.960
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:27:32.080 --> 0:27:35.000
<v Speaker 1>weekdays at ten am Eastern on Apple car Play and

0:27:35.119 --> 0:27:38.000
<v Speaker 1>Android Auto with the Bloomberg Business App. You can also

0:27:38.119 --> 0:27:41.600
<v Speaker 1>listen live on Amazon Alexa from our flagship New York station.

0:27:42.000 --> 0:27:44.720
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:27:46.280 --> 0:27:48.080
<v Speaker 2>Let's keep going on an under armor here that stock

0:27:48.160 --> 0:27:50.560
<v Speaker 2>up by twenty percent of quinnam Goyle, a senior US

0:27:50.640 --> 0:27:53.600
<v Speaker 2>e commerce and retail analyst of Bloomberg Intelligence, She joins us,

0:27:53.640 --> 0:27:56.359
<v Speaker 2>Now what part of this is like, who if it

0:27:56.400 --> 0:27:59.080
<v Speaker 2>could have been worse versus we really like the stock

0:27:59.119 --> 0:27:59.720
<v Speaker 2>and its growth.

0:28:01.119 --> 0:28:04.439
<v Speaker 11>I think, you know they're executing right. This is the start,

0:28:04.600 --> 0:28:07.360
<v Speaker 11>but make no mistake, they have a long long way

0:28:07.400 --> 0:28:10.240
<v Speaker 11>to go. I think the fact that they beat expectations

0:28:10.400 --> 0:28:13.680
<v Speaker 11>is a good sign that they've stopped the bleeding and

0:28:13.880 --> 0:28:18.120
<v Speaker 11>it's getting better. But getting to positive sales is still

0:28:18.240 --> 0:28:20.280
<v Speaker 11>going to be a long while. In fact, before we

0:28:20.400 --> 0:28:23.720
<v Speaker 11>see actually some meaningful improvement in product, which is a

0:28:23.800 --> 0:28:26.280
<v Speaker 11>key part of the story, it's not going to be

0:28:26.440 --> 0:28:30.000
<v Speaker 11>for another nine to twelve months, so there's still a

0:28:30.080 --> 0:28:34.159
<v Speaker 11>lot of time. The environment is still very fickle, and

0:28:34.600 --> 0:28:36.439
<v Speaker 11>you know, when you look at their guidance, which they

0:28:36.680 --> 0:28:41.280
<v Speaker 11>did raise, it doesn't suggest that things are getting materially better.

0:28:41.480 --> 0:28:44.240
<v Speaker 11>In fact, there's a little bit of caution built into

0:28:44.320 --> 0:28:48.040
<v Speaker 11>the guidance as they expect Asia Pacific region to get weaker.

0:28:48.160 --> 0:28:52.120
<v Speaker 11>They're having freight expense pressures and also four X pressures,

0:28:52.280 --> 0:28:55.320
<v Speaker 11>so it's not all rosy as it seems looking at

0:28:55.360 --> 0:28:57.600
<v Speaker 11>the share price. But they are making improvement.

0:28:58.280 --> 0:29:01.080
<v Speaker 4>What do they need to restricture here or do they

0:29:01.160 --> 0:29:04.200
<v Speaker 4>just need to have more cooler stuff in the stores.

0:29:05.520 --> 0:29:10.400
<v Speaker 11>I think it's everything. It's definitely product product disking. In retail,

0:29:10.520 --> 0:29:12.920
<v Speaker 11>they do need to improve their product positioning as well

0:29:13.000 --> 0:29:15.640
<v Speaker 11>as what they offer. Aside from that, they also have

0:29:15.800 --> 0:29:18.800
<v Speaker 11>to improve how they market this product. Under Armour has

0:29:18.880 --> 0:29:22.560
<v Speaker 11>gone through these restructuring efforts multiple times now, so this

0:29:22.720 --> 0:29:26.200
<v Speaker 11>isn't something new to them. They've overpenetrated in the off

0:29:26.280 --> 0:29:30.920
<v Speaker 11>price category, they've over discounted, They've become basically a promotional banner,

0:29:31.320 --> 0:29:33.080
<v Speaker 11>and now they're trying to do what they tried to

0:29:33.160 --> 0:29:36.760
<v Speaker 11>do again previously, is to restructure themselves as a more

0:29:36.840 --> 0:29:40.800
<v Speaker 11>premium brand. Can they do it, yes, but it's going

0:29:40.920 --> 0:29:45.800
<v Speaker 11>to take effort and time and they have the means

0:29:45.840 --> 0:29:48.120
<v Speaker 11>to do it. They have the expertise. But remember there

0:29:48.120 --> 0:29:50.640
<v Speaker 11>are much smaller brand than a Nike and Adida, so

0:29:50.720 --> 0:29:53.360
<v Speaker 11>they don't have those deep pockets to help them. But

0:29:53.760 --> 0:29:56.200
<v Speaker 11>it will take time for them to actually get this underway.

0:29:56.520 --> 0:29:58.960
<v Speaker 2>So isn't this like a really rough time to try

0:29:59.000 --> 0:30:01.120
<v Speaker 2>and like rebe a premium brand.

0:30:02.880 --> 0:30:05.680
<v Speaker 11>It's tough, but under Armour isn't a dead brand, right.

0:30:05.800 --> 0:30:09.800
<v Speaker 11>Everyone still recognizes under Armour and it isn't a brand

0:30:09.920 --> 0:30:11.959
<v Speaker 11>that has kind of died and is not coming back

0:30:12.000 --> 0:30:14.440
<v Speaker 11>to life. People recognize the name, people still use it

0:30:14.520 --> 0:30:18.360
<v Speaker 11>in sports. They have seventy athletes across twenty eighteens and

0:30:18.400 --> 0:30:21.720
<v Speaker 11>the Olympics right now. So it's not dead and yes

0:30:21.800 --> 0:30:24.080
<v Speaker 11>it can be repositioned, but it will take time.

0:30:24.680 --> 0:30:27.400
<v Speaker 4>So in this part of the retail space that you cover, Punum,

0:30:28.320 --> 0:30:31.560
<v Speaker 4>the Nikes, the Underarmers of the world, the Adidas, which

0:30:31.600 --> 0:30:33.720
<v Speaker 4>is correct way to pronounce.

0:30:33.440 --> 0:30:38.320
<v Speaker 5>It, Oh, Matt Miller, is that you yes, off, how's.

0:30:38.120 --> 0:30:39.960
<v Speaker 6>The consumer there in that part of the world.

0:30:41.240 --> 0:30:44.320
<v Speaker 11>So the consumer isn't in the best place today. We've

0:30:44.400 --> 0:30:47.400
<v Speaker 11>seen the consumer indicators, whether it's the unemployment rate, which

0:30:47.440 --> 0:30:51.479
<v Speaker 11>we closely watch is now over four percent. They're lofty.

0:30:51.560 --> 0:30:54.440
<v Speaker 11>Amazon said it on their call just last week that

0:30:54.600 --> 0:30:57.880
<v Speaker 11>they do expect consumer volatility and macro pressures to build.

0:30:58.040 --> 0:31:01.800
<v Speaker 11>There will be more discounting. So you know, the consumer

0:31:01.880 --> 0:31:04.880
<v Speaker 11>is choosing, they're being picky, they're trading down, they're pulling back.

0:31:05.200 --> 0:31:07.880
<v Speaker 11>It's not the best consumer environment heading into the back half.

0:31:08.240 --> 0:31:10.200
<v Speaker 2>So how much time do we need to give, then, say,

0:31:10.720 --> 0:31:14.320
<v Speaker 2>under armour to fix all of this? Because what is

0:31:14.360 --> 0:31:17.160
<v Speaker 2>in neusyncratic versus the macro environment. That feels like it's

0:31:17.160 --> 0:31:18.600
<v Speaker 2>going to draw this process out a bit.

0:31:19.800 --> 0:31:21.680
<v Speaker 11>It's definitely going to draw it out a little bit,

0:31:21.840 --> 0:31:24.720
<v Speaker 11>especially if at worsens. We heard them say that promotions

0:31:24.800 --> 0:31:27.560
<v Speaker 11>will tick up, which was a major driver to better

0:31:27.640 --> 0:31:30.120
<v Speaker 11>gross margins in the second quarter. That was really a

0:31:30.200 --> 0:31:33.320
<v Speaker 11>large part of the outperformance there. But that said, you're

0:31:33.360 --> 0:31:37.360
<v Speaker 11>talking about a ten percent decline in North America, double

0:31:37.440 --> 0:31:41.120
<v Speaker 11>digit declines in the quarter. Is still expecting double digit

0:31:41.200 --> 0:31:44.520
<v Speaker 11>declines in the rest of the year, their fiscal year.

0:31:45.000 --> 0:31:47.000
<v Speaker 11>It's a long way before we can see, you know,

0:31:47.240 --> 0:31:50.120
<v Speaker 11>continuous positive growth. That's say, you know, definitely well over

0:31:50.200 --> 0:31:51.360
<v Speaker 11>a year, if not longer.

0:31:52.040 --> 0:31:53.680
<v Speaker 6>Put them oil. Thank you so much. We appreciate it.

0:31:53.720 --> 0:31:54.280
<v Speaker 6>Putt them oil.

0:31:54.520 --> 0:31:56.800
<v Speaker 4>She has our senior anamals covering all the retail stuff

0:31:56.920 --> 0:32:00.239
<v Speaker 4>for Bloomberg Intelligence. Given the latest here on our good

0:32:00.280 --> 0:32:05.040
<v Speaker 4>friends at under Armour based in Baltimore, Maryland. Kevin Plank

0:32:05.160 --> 0:32:07.440
<v Speaker 4>is the founder of that thing. Pretty good story there overall,

0:32:07.480 --> 0:32:10.280
<v Speaker 4>but as Puna mentioned, a lot of competition.

0:32:10.360 --> 0:32:11.719
<v Speaker 6>They need to restructure a little bit there.

0:32:13.200 --> 0:32:17.080
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us Live

0:32:17.200 --> 0:32:20.720
<v Speaker 1>weekdays at ten am Eastern on Applecar Play and Android

0:32:20.720 --> 0:32:23.480
<v Speaker 1>Auto with the Bloomberg Business app. You can also listen

0:32:23.640 --> 0:32:26.680
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:32:27.080 --> 0:32:29.840
<v Speaker 1>Just say Alexa playing Bloomberg eleven thirty.

0:32:31.320 --> 0:32:34.320
<v Speaker 6>I'll tell you what's not working today, Warner Brothers Discovery.

0:32:34.360 --> 0:32:34.640
<v Speaker 3>I don't know.

0:32:34.680 --> 0:32:37.240
<v Speaker 4>When I covered these stocks, they were ripping. But I

0:32:37.280 --> 0:32:39.640
<v Speaker 4>don't know this new generation of media analysts. I don't

0:32:39.640 --> 0:32:41.440
<v Speaker 4>know what they're doing here. Kevin here, he joins us here.

0:32:41.720 --> 0:32:44.880
<v Speaker 4>He's a senior media associate for Bloomberg Intelligence. He works

0:32:44.920 --> 0:32:49.480
<v Speaker 4>with my good buddy Getha ranganathin covering the media space. Here, Kevin,

0:32:49.560 --> 0:32:51.560
<v Speaker 4>this is a tough one here. I mean, talk to

0:32:51.640 --> 0:32:54.880
<v Speaker 4>us about what's happening with Warner Brothers Discovery taking a

0:32:54.960 --> 0:32:56.520
<v Speaker 4>big write down today.

0:32:56.560 --> 0:32:58.760
<v Speaker 6>What was the write down for exactly?

0:32:58.920 --> 0:32:59.320
<v Speaker 8>Exactly?

0:32:59.600 --> 0:33:00.560
<v Speaker 6>Thanks for me on Paul.

0:33:01.440 --> 0:33:01.680
<v Speaker 3>It was.

0:33:01.960 --> 0:33:04.760
<v Speaker 8>It's it's bad, it's not great. Obviously, we're still in

0:33:04.840 --> 0:33:09.080
<v Speaker 8>a very transitory period and media expectations were certainly tempered

0:33:09.120 --> 0:33:11.440
<v Speaker 8>coming into the quarter. I think they've been that way

0:33:11.480 --> 0:33:15.000
<v Speaker 8>for a little while now. Obviously, Warner stopped giving us

0:33:15.040 --> 0:33:17.000
<v Speaker 8>adjusted ebit a guidance at the beginning of the year,

0:33:18.040 --> 0:33:20.000
<v Speaker 8>but that said, you know, it was worse than expected,

0:33:20.720 --> 0:33:22.480
<v Speaker 8>and it's really really I think the headline is on

0:33:22.600 --> 0:33:24.200
<v Speaker 8>the network side, as you just said, that's where that

0:33:24.320 --> 0:33:27.160
<v Speaker 8>nine billion dollar write down was coming from. And the

0:33:27.240 --> 0:33:28.960
<v Speaker 8>visibility isn't great. You know, they're they're going to be

0:33:29.040 --> 0:33:30.640
<v Speaker 8>losing it's all of it's certain they're gonna be losing

0:33:30.640 --> 0:33:33.320
<v Speaker 8>the NBA contract in twenty twenty five, twenty six. So

0:33:34.240 --> 0:33:35.720
<v Speaker 8>it's really been a game for a long time for

0:33:35.800 --> 0:33:38.360
<v Speaker 8>traditional media. Can they scale up their streaming services while

0:33:38.680 --> 0:33:42.040
<v Speaker 8>PayTV continues to melt. But it's it's tough, but.

0:33:42.080 --> 0:33:43.320
<v Speaker 5>They're streaming wasn't terrible.

0:33:43.440 --> 0:33:46.120
<v Speaker 2>It was really just the traditional ad business and also

0:33:47.240 --> 0:33:49.680
<v Speaker 2>the movie business like done too fine, Like I'll see it,

0:33:49.720 --> 0:33:50.640
<v Speaker 2>but please you ain't.

0:33:50.480 --> 0:33:51.040
<v Speaker 5>A don't pool.

0:33:52.160 --> 0:33:54.200
<v Speaker 8>It's exactly right, that's exactly right. The ads were really

0:33:54.240 --> 0:33:56.240
<v Speaker 8>where they're filling a lot of the weakness as you know,

0:33:56.280 --> 0:33:58.360
<v Speaker 8>those linear ad dollars are moving towards connected TV.

0:33:59.080 --> 0:34:00.320
<v Speaker 6>Streaming was was pretty good.

0:34:00.320 --> 0:34:02.480
<v Speaker 8>They had some nice international launches during the quarter, So

0:34:02.520 --> 0:34:05.440
<v Speaker 8>those net ads came in above expected and they are

0:34:05.560 --> 0:34:07.840
<v Speaker 8>actually one of the few that are are starting to

0:34:07.960 --> 0:34:09.759
<v Speaker 8>get to the inflection point where we're starting to see

0:34:09.800 --> 0:34:12.400
<v Speaker 8>some profit, but again it's so much smaller compared to

0:34:12.440 --> 0:34:14.080
<v Speaker 8>their legacy TV business that's still.

0:34:13.880 --> 0:34:14.480
<v Speaker 6>The bread and butter.

0:34:15.040 --> 0:34:17.000
<v Speaker 8>And on the studio side, you're right, they had some good,

0:34:17.280 --> 0:34:19.400
<v Speaker 8>good results with Dune. They had a good launch with

0:34:19.920 --> 0:34:23.279
<v Speaker 8>Godzilla x Kong. They also had some misses. Furiosa was

0:34:23.320 --> 0:34:25.839
<v Speaker 8>one that didn't quite do as well. And of course

0:34:25.880 --> 0:34:27.600
<v Speaker 8>on the video game side, that's also been quite weak,

0:34:27.719 --> 0:34:30.520
<v Speaker 8>especially of some against some difficult comps against last year

0:34:30.520 --> 0:34:31.600
<v Speaker 8>with the Hogwarts legacy.

0:34:31.880 --> 0:34:37.120
<v Speaker 4>All right, sixteen point seven billion dollar market cap, that's

0:34:37.200 --> 0:34:39.000
<v Speaker 4>one thing, but then you look at the balance sheet

0:34:39.239 --> 0:34:41.879
<v Speaker 4>and they got forty billion dollars of debt. Oh my god,

0:34:42.040 --> 0:34:45.239
<v Speaker 4>what is this company? I mean, John Malone's a shareholder,

0:34:46.120 --> 0:34:47.240
<v Speaker 4>an agent of change.

0:34:47.080 --> 0:34:47.600
<v Speaker 6>If nothing else.

0:34:47.960 --> 0:34:50.360
<v Speaker 4>Is there an expectation the marketplace, Kevin, that this is

0:34:50.400 --> 0:34:51.160
<v Speaker 4>a company that needs to.

0:34:51.160 --> 0:34:53.759
<v Speaker 6>Be restructured, split up, acquired.

0:34:53.920 --> 0:34:57.879
<v Speaker 8>I mean, it's certainly been speculated on management. Of course,

0:34:57.960 --> 0:34:59.920
<v Speaker 8>you know, declined to comment on on rumors like that.

0:35:00.080 --> 0:35:03.560
<v Speaker 8>At they're certainly prioritizing their cash flow to to pay

0:35:03.640 --> 0:35:05.759
<v Speaker 8>down their debt right now. Certainly a lot of that

0:35:05.880 --> 0:35:09.560
<v Speaker 8>is going towards their their interest payments. It's it's difficult

0:35:09.600 --> 0:35:11.839
<v Speaker 8>to say, you know, it's really really difficult. Obviously when

0:35:11.880 --> 0:35:14.120
<v Speaker 8>you look across kind of the media landscape. They are

0:35:14.200 --> 0:35:17.040
<v Speaker 8>partnering together with with bundling. Obviously we have Venue Sports

0:35:17.120 --> 0:35:18.880
<v Speaker 8>coming this fall, so.

0:35:19.600 --> 0:35:21.279
<v Speaker 5>That again help me understand that one.

0:35:21.600 --> 0:35:24.800
<v Speaker 8>It's it's the streaming sports JV. Essentially they're going to

0:35:24.840 --> 0:35:27.520
<v Speaker 8>be it's like a skinny paid TV bundle. So essentially

0:35:27.560 --> 0:35:30.000
<v Speaker 8>you know you're getting those cable TV channels, but it's

0:35:30.000 --> 0:35:33.359
<v Speaker 8>all over the internet. Right, So again, that's Warner that's Fox,

0:35:33.440 --> 0:35:37.040
<v Speaker 8>that's that's Disney's ESPN. But it's not NBC Universal, it's

0:35:37.080 --> 0:35:40.000
<v Speaker 8>not NBC Universal, it's not Paramount CBS Sports.

0:35:41.280 --> 0:35:42.920
<v Speaker 6>It's a disaster. It's a digster.

0:35:43.080 --> 0:35:45.600
<v Speaker 4>We had when I was running this industry, we had

0:35:45.640 --> 0:35:47.879
<v Speaker 4>people paying their cable operator one hundred bucks a month.

0:35:48.440 --> 0:35:51.000
<v Speaker 4>The cable operator made money, and the cable operator paid

0:35:51.000 --> 0:35:53.000
<v Speaker 4>a lot of money to the Viacoms and Warner Brothers

0:35:53.040 --> 0:35:55.600
<v Speaker 4>Discoveries of the world for their cable networks. They made money,

0:35:56.280 --> 0:35:58.759
<v Speaker 4>lots of big audiences, advertisers made money.

0:35:59.000 --> 0:35:59.719
<v Speaker 6>Everything was good.

0:35:59.760 --> 0:36:02.040
<v Speaker 4>And then the young guy folks come into the industry

0:36:02.120 --> 0:36:04.520
<v Speaker 4>and they change it. They start the streaming service and

0:36:04.640 --> 0:36:07.720
<v Speaker 4>now they're scrambling for dollars. Is there an expectation, Kevin,

0:36:07.800 --> 0:36:11.480
<v Speaker 4>that we're somewhere near a point where it all shakes

0:36:11.560 --> 0:36:12.240
<v Speaker 4>out or something.

0:36:12.480 --> 0:36:14.239
<v Speaker 8>Yeah, I think so, And then you make it sound

0:36:14.400 --> 0:36:17.839
<v Speaker 8>so wonderful fact that money there Again, if you look

0:36:17.840 --> 0:36:20.640
<v Speaker 8>at a I mean, certainly Netflix is crushing right now,

0:36:20.680 --> 0:36:22.680
<v Speaker 8>you know. There their their margins are are so great.

0:36:22.760 --> 0:36:25.600
<v Speaker 8>You know, they just up their margin guidance, cash flow

0:36:25.719 --> 0:36:28.319
<v Speaker 8>really really strong and certainly seemed to be winning these

0:36:28.320 --> 0:36:32.000
<v Speaker 8>streaming wars. But again, you know, it's it's evolving, right,

0:36:32.040 --> 0:36:35.440
<v Speaker 8>it's it's continuing. We're looking at price increases. Obviously, when

0:36:35.440 --> 0:36:37.120
<v Speaker 8>you're looking at you know, kind of a more mature

0:36:37.200 --> 0:36:39.279
<v Speaker 8>market like the US, the focus is on urpoop, So

0:36:39.280 --> 0:36:41.080
<v Speaker 8>how are you going to raise arpoo there? There are

0:36:41.080 --> 0:36:45.200
<v Speaker 8>a few different levers exactly exactly there it is, uh

0:36:45.360 --> 0:36:47.360
<v Speaker 8>so you can do that. They're just price raises. Obviously,

0:36:47.400 --> 0:36:49.400
<v Speaker 8>they're trying to build out their advertising like we were

0:36:49.440 --> 0:36:51.400
<v Speaker 8>talking about before. And then the other big lever is

0:36:51.440 --> 0:36:54.160
<v Speaker 8>the password crackdown. So Netflix did that last year. Disney's

0:36:54.160 --> 0:36:55.719
<v Speaker 8>going to be implementing that in earnest and.

0:36:56.880 --> 0:36:58.080
<v Speaker 6>Has that been material like did that.

0:36:58.200 --> 0:37:00.920
<v Speaker 10>Oh no, it really helped, yeah, very much.

0:37:00.960 --> 0:37:05.600
<v Speaker 4>So yeah, okay, when you offspring, we're upset because they've

0:37:05.600 --> 0:37:07.359
<v Speaker 4>been skating on my coattails for a long time.

0:37:07.440 --> 0:37:08.400
<v Speaker 5>I guess also them.

0:37:08.400 --> 0:37:10.160
<v Speaker 2>The question is, at some point, I don't know if

0:37:10.160 --> 0:37:12.759
<v Speaker 2>we're here yet, people are just gonna get fed up

0:37:12.760 --> 0:37:15.080
<v Speaker 2>with all the pricing increases which I cannot keep track,

0:37:15.120 --> 0:37:16.440
<v Speaker 2>and they're gonna do the thing where they go through

0:37:16.480 --> 0:37:19.120
<v Speaker 2>and they're like no, no, no, yes, yes, and they're

0:37:19.120 --> 0:37:19.880
<v Speaker 2>gonna start cutting.

0:37:19.960 --> 0:37:21.799
<v Speaker 5>Have we seen that yet a little bit?

0:37:21.920 --> 0:37:24.160
<v Speaker 8>A little bit again. You know, if you look at Netflix,

0:37:24.280 --> 0:37:26.840
<v Speaker 8>their their turn levels are so low compared to their peers.

0:37:26.880 --> 0:37:28.640
<v Speaker 8>But you do see a lot of those serial churners.

0:37:28.680 --> 0:37:30.000
<v Speaker 8>You know, they'll sign up, they'll watch a show that

0:37:30.080 --> 0:37:32.640
<v Speaker 8>they like, and then they'll cancel. Right, So they're they're

0:37:32.680 --> 0:37:35.080
<v Speaker 8>trying to combat that. They're still keeping you know, again,

0:37:35.160 --> 0:37:37.040
<v Speaker 8>they they being you know, most of these streamers, they're

0:37:37.040 --> 0:37:40.080
<v Speaker 8>still keeping that competitive entry price with their ad supported tires.

0:37:40.120 --> 0:37:41.680
<v Speaker 8>So what they're trying to do is either you have

0:37:41.760 --> 0:37:44.120
<v Speaker 8>to pay a lot for a premium product or pay

0:37:44.239 --> 0:37:45.040
<v Speaker 8>less and watch ads.

0:37:45.239 --> 0:37:47.279
<v Speaker 6>All right, Kevin, good stuff, you can come back. You

0:37:47.360 --> 0:37:47.920
<v Speaker 6>passed the test.

0:37:48.000 --> 0:37:51.279
<v Speaker 4>Kevin Near, senior media associate analysts that Bloomberg can telepressure.

0:37:51.280 --> 0:37:53.200
<v Speaker 4>I didn't hire them, but Geitha did, so that's good

0:37:53.239 --> 0:37:53.880
<v Speaker 4>enough for me.

0:37:54.040 --> 0:37:54.560
<v Speaker 6>That's all I need.

0:37:54.920 --> 0:37:58.160
<v Speaker 4>He's here at Bloomberg Interactive Broker Studio, and most importantly.

0:37:57.840 --> 0:37:59.319
<v Speaker 6>He's based in New York City.

0:37:59.600 --> 0:38:00.640
<v Speaker 4>None this Princeton stuff.

0:38:00.640 --> 0:38:01.680
<v Speaker 6>You want to be a player, you got to be

0:38:01.760 --> 0:38:03.680
<v Speaker 6>in big town. That's what I always say. Kevin here,

0:38:03.719 --> 0:38:04.600
<v Speaker 6>Thanks for joining us here.

0:38:04.800 --> 0:38:09.279
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