WEBVTT - Tame CPI Data Could Guide Fed's Next Move

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>gloom O Business Finance and tech news. The Bloomberg Business

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<v Speaker 1>Week Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Listening in on surveillance this morning, I have to say

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<v Speaker 2>Bloomberg News International Economics and Policy course by Mike McKee.

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<v Speaker 2>He noted how this morning CPI report probably the most

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<v Speaker 2>watched and most benign report because there are a couple

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<v Speaker 2>more before the Fed meets next on September twentieth. But nonetheless,

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<v Speaker 2>and he said, focus on the month to month, not the.

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<v Speaker 3>Year every year that that was important.

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<v Speaker 1>Did you do that?

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<v Speaker 3>I did? I did? I did? I did?

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<v Speaker 2>All right, So let's get more on today's data set

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<v Speaker 2>because we've got a great duo, I should say, with us,

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<v Speaker 2>because we should put out that headline number right posting

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<v Speaker 2>its smallest back to back increases in two years.

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<v Speaker 4>That was important, Tim, that was really important. Let's get

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<v Speaker 4>into it with this roundtable that we have. We got

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<v Speaker 4>Nicky Baird, vice president of Strategy to aptus on Zoom

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<v Speaker 4>from Littleton Call Dorado and with us here in the

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<v Speaker 4>studio is Bloomberg News Economics editor Molly Smith. She's with

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<v Speaker 4>us in the Bloomberg Interactive Broker studio. Malli, I want

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<v Speaker 4>to start with.

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<v Speaker 2>You because he was the one swing.

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<v Speaker 4>This was like your this is like your super Bowl

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<v Speaker 4>every month, This is like your US Open every month.

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<v Speaker 5>Oh well, let's not go that far too, So got

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<v Speaker 5>the rest of.

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<v Speaker 4>August, so give us, give us the give us. We've

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<v Speaker 4>talked a lot about the highlights and the takeaways. Any

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<v Speaker 4>surprises to you in.

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<v Speaker 6>Here, not really, I mean, and I know that's that's

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<v Speaker 6>bad for ratings.

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<v Speaker 5>We shouldn't say that that this was not.

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<v Speaker 6>Surprising, honest as expected. I've been told that's not good

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<v Speaker 6>to say on the air, but it was true. And

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<v Speaker 6>you know, I always look for an opportunity to knock

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<v Speaker 6>Mike McKee, but he was right. You know, focus on

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<v Speaker 6>the month a month, don't pay attention to that little

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<v Speaker 6>pickup in the year over year. And yeah, I mean

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<v Speaker 6>it did. It was pretty much as expected. I think

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<v Speaker 6>for me, I was surprised to see that Shelter was

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<v Speaker 6>ninety percent of the increase. I mean, I know it's

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<v Speaker 6>been a lot. That's not normal, right, I mean, it's

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<v Speaker 6>been running it definitely. Maybe we've seen it run for

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<v Speaker 6>like two thirds of the increase, but now seeing it

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<v Speaker 6>at ninety I mean, if anything, to me, that's just

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<v Speaker 6>sounds like the disinflation in other categories is really happening

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<v Speaker 6>and just in shelter taking a bit more time.

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<v Speaker 3>Yeah, more targeted.

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<v Speaker 2>Let's bring in our other guest with us, as we said,

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<v Speaker 2>Nikki Bard, vice president of strategy at Aptos on Zoom

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<v Speaker 2>from Colorado. So, Nikki, from your perspective and what you

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<v Speaker 2>look at and what this all means for the consumer,

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<v Speaker 2>what's kind of front and center for you.

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<v Speaker 7>Yeah, I think what Molly said is right in line.

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<v Speaker 7>It's like, this isn't something that on its own is

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<v Speaker 7>going to have an impact on consumer spending or consumer behavior.

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<v Speaker 7>We're already in the back to school season, we're looking ahead,

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<v Speaker 7>of course to the holiday season ever important for retail,

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<v Speaker 7>and this one indicator isn't enough to say that there's

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<v Speaker 7>anything drastic that's going to happen to consumer spending between

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<v Speaker 7>now and the end of the year.

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<v Speaker 4>Hmm, Okay, why is that?

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<v Speaker 7>Well, just I mean, like the price increases that have

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<v Speaker 7>been happening, they do especially in the things that impact

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<v Speaker 7>their discretionary spending. Those are leveling off, which is great

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<v Speaker 7>news for everybody. I think what's more important to watch

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<v Speaker 7>is we have the consumer the student loan debt repayment

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<v Speaker 7>starting up that could potentially show up in things like

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<v Speaker 7>Halloween spending for example. That might be an important leading

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<v Speaker 7>indicator going into the holiday season. If consumer is a

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<v Speaker 7>very discretionary kind of spend and it's exactly the kind

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<v Speaker 7>of spend that is made by the people who are

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<v Speaker 7>going to be most impacted by that kind of debt repayment.

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<v Speaker 7>Those are the kinds of things that we're looking at

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<v Speaker 7>to understand how much there is the impact of on

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<v Speaker 7>consumer spending going into that all important holiday season.

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<v Speaker 2>I have to say, just one anecdotal individual. Things are

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<v Speaker 2>still expensive and I feel it when I go to

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<v Speaker 2>the grocery store. I look at I feel like everything

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<v Speaker 2>in my world just doesn't matter. It's expensive. Supercore price

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<v Speaker 2>is molly. I want to come back to that because

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<v Speaker 2>I saw on the blog this morning. I think it

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<v Speaker 2>might have been Iri Jersey or somebody else pointing out

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<v Speaker 2>which is supercore prices closely watched by the FED when

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<v Speaker 2>it comes to inflation rose in the twelve months through July,

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<v Speaker 2>and the first acceleration this year its services service prices

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<v Speaker 2>is minus and energy and housing right, which follows a

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<v Speaker 2>June reading that increased at the slowest pace in eighteen months.

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<v Speaker 2>So it sounds a little erratic down and then up.

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<v Speaker 2>So do you disregard it or how do you see that?

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<v Speaker 6>I mean, I think that's kind of the overall story

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<v Speaker 6>of the inflation as a whole, right, you know that,

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<v Speaker 6>like we've all known that, like the path down to

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<v Speaker 6>two percent is going to be long and it's going

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<v Speaker 6>to be bumpy, So I would put this in that

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<v Speaker 6>same camp. And like the increase in June that was

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<v Speaker 6>the smallest in eighteen months, Is that what you said?

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<v Speaker 8>Yeah?

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<v Speaker 6>Yeah, so that was four percent. This month was four

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<v Speaker 6>point one. So kind of like okay, like not.

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<v Speaker 5>Really explaining hairs.

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<v Speaker 6>Yeah, you know, it's kind of like the same with

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<v Speaker 6>the headline, you know, being up, you know, three to

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<v Speaker 6>two this month. That was up three percent last month,

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<v Speaker 6>and a lot of that due to the base effects conversation.

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<v Speaker 2>But there is something to the effect that as we

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<v Speaker 2>get closer to that two percent, right, it's tougher in

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<v Speaker 2>terms of bringing the inflation down.

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<v Speaker 6>Yeah, and it's going to be in those exactly those

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<v Speaker 6>supercore core services X housing categories that are the most concerning.

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<v Speaker 6>Those are the ones that are the stickiest price pressures.

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<v Speaker 6>And you know, a lot of the disinflation we've had

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<v Speaker 6>so far has been kind of the unwinding of, like

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<v Speaker 6>the of the pandemic inflation pressures that we had. It's

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<v Speaker 6>been some like easing of like the pressures from the

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<v Speaker 6>war in Ukraine.

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<v Speaker 5>So it's it's.

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<v Speaker 6>Still debatable of how much the Fed's work has really

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<v Speaker 6>brought about disinflation.

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<v Speaker 4>That's that's a really good point. And I want to

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<v Speaker 4>ask Nikki what her thoughts are on our concerns are

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<v Speaker 4>when it comes to energy prices on the rise again.

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<v Speaker 7>Yeah, I mean again, from a consumer spending perspective, anything

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<v Speaker 7>that eats up that discretionary budget is going to be

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<v Speaker 7>the things that really drive whether or not consumer spend.

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<v Speaker 7>I think you know, what we've seen uptil now is

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<v Speaker 7>that consumers have been willing to accumulate debt in order

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<v Speaker 7>to keep and maintain their spending levels. And I think

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<v Speaker 7>it's a great point, like they're spending just as much,

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<v Speaker 7>but net wise they're actually buying less because their purchase

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<v Speaker 7>power just doesn't go as far with all these sustained

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<v Speaker 7>high prices. But I think that you know, that idea

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<v Speaker 7>of being able to continue to finance some of this

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<v Speaker 7>consumer spending with some of the debt that consumers have

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<v Speaker 7>been using before, that's starting to come to an end.

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<v Speaker 7>Energy prices and again you know, the interest rate on

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<v Speaker 7>that credit card debt. All of that stuff is going

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<v Speaker 7>to come into play much more in terms of where

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<v Speaker 7>consumers can go and how they can continue to impact

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<v Speaker 7>and support the economy.

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<v Speaker 6>Following up on that, Nikki, we actually had the CEO

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<v Speaker 6>Advantage Score in here today. They're a provider of credit

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<v Speaker 6>scores to millions of Americans, and he was making a

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<v Speaker 6>lot of similar points that you were just saying. And

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<v Speaker 6>something that he's actually said on Bloomberg TV before is

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<v Speaker 6>that the resumption of student loan payments get this is

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<v Speaker 6>going to have a bigger impact on Americans than a

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<v Speaker 6>rate increase.

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<v Speaker 4>Well like, so one twenty five basis point increase has

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<v Speaker 4>less of an effect.

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<v Speaker 5>And the resumption of payments.

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<v Speaker 4>I mean that makes sense because you think about the

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<v Speaker 4>what the average student loan payment at pocket right, It's

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<v Speaker 4>exactly so if you're not spending that money. You know,

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<v Speaker 4>if you're spend, if you don't have that money anymore

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<v Speaker 4>because it's going to student loan payments, then it's not

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<v Speaker 4>going to goods and services.

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<v Speaker 6>Yeah yeah, I mean, Nikki, what do you think about that?

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<v Speaker 6>You think he's like on it with the terms of

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<v Speaker 6>the comparison there.

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<v Speaker 7>Yeah, I totally agree. I mean I think that the

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<v Speaker 7>basis points rates, those increases take a little bit of

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<v Speaker 7>time before they actually filter down to the consumer. Right,

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<v Speaker 7>It's not like today it was this and the Fed

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<v Speaker 7>raises it and then the very next day that's impacting

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<v Speaker 7>the rate that consumers are paying. It takes a little

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<v Speaker 7>while for that to flow through. But that loan repayment,

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<v Speaker 7>that's like immediate budget hit. It doesn't matter what the

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<v Speaker 7>interest rate is. It's a repayment on something that you

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<v Speaker 7>were able to take off the table in terms of

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<v Speaker 7>budget before that now you have to put right back in.

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<v Speaker 7>So if you combine adding that in and then you

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<v Speaker 7>look at those other factors that can potentially impact consumer spending,

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<v Speaker 7>like energy prices, like housing prices, the shelter inflation still

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<v Speaker 7>is making up most of that increase. Those are things

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<v Speaker 7>that are going to strength the budget that consumers have

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<v Speaker 7>for anything else.

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<v Speaker 2>Nickey, you work with the retail industry all different types.

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<v Speaker 2>A lot of it is about technology innovation. That's you know,

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<v Speaker 2>your background and you've covered this for a long time.

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<v Speaker 2>I am curious that what you're hearing from your retail

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<v Speaker 2>clients right now. When it comes to the environment hiring,

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<v Speaker 2>consumer trends.

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<v Speaker 7>Yeah, labor crofts are still really high, and there's been

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<v Speaker 7>no give back in that regard for frontline workers in

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<v Speaker 7>any place. So whether the labor market is soft or

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<v Speaker 7>whether it's you know, continuing to chug along, you know

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<v Speaker 7>the effective hourly rate that a lot of retailers are

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<v Speaker 7>paying to staff. I mean I see advertisements and windows

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<v Speaker 7>in the Denver area for fifteen, seventeen, twenty dollars an

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<v Speaker 7>hour for a part time frontline retail jobs. So that

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<v Speaker 7>part of it is definitely still impacting their business very much.

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<v Speaker 7>So I would say the other factor that historically was

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<v Speaker 7>impacting inflation, seems to be easing up, which is on

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<v Speaker 7>the supply chain side. So we're definitely seeing where supply

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<v Speaker 7>chains have evened out. There might be some weird things

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<v Speaker 7>like shiracha that come along and disrupt very specific things

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<v Speaker 7>but overall and in general, I would say that the

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<v Speaker 7>supply chain issues and the shortages that really impact the

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<v Speaker 7>price rises of twenty twenty one and twenty twenty two,

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<v Speaker 7>those definitely seem to be smoothed out.

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<v Speaker 2>Just got about forty five seconds quickly, Nikki. Are we

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<v Speaker 2>going to see more of what we see in Zara

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<v Speaker 2>where you dump stuff into a bin and it comes

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<v Speaker 2>up on a monitor and we don't need workers And

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<v Speaker 2>I'm taking off the security tag.

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<v Speaker 4>Uniclide does it too?

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<v Speaker 7>Yeah, Uniclode has definitely been a forerunner there. You know,

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<v Speaker 7>it's both of those companies kind of went on their

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<v Speaker 7>own to kind of drive that innovation, and the rest

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<v Speaker 7>of the technology industry hasn't completely caught up with that.

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<v Speaker 7>So I do think that we can get to that point,

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<v Speaker 7>but I think there's going to be a delay. They

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<v Speaker 7>like custom built their own solutions to do that.

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<v Speaker 2>And I'm going to be back in the stock room

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<v Speaker 2>real quick. Mollie Smith. Just got about fifteen twenty seconds.

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<v Speaker 2>What's your next focal point?

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<v Speaker 6>Oh goodness, I think we've got PPI tomorrow right hopefully?

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<v Speaker 5>Is really a focal point?

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<v Speaker 6>I mean, look, it's another inflation point, you know, it's

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<v Speaker 6>another thing before September and then I guess Jackson Hole.

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<v Speaker 5>But the US opened obviously we more important.

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<v Speaker 2>Wait a minute, Okay, good.

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<v Speaker 4>Kat talking to Mollie Smith and not talking about it.

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<v Speaker 2>And I can tell you already there's going to be crowds.

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<v Speaker 2>And if you want to look for a sign of

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<v Speaker 2>consumer spending at the higher end, tickets are.

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<v Speaker 4>Already have sold out for some days.

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<v Speaker 5>What do we think the Honeydews is going for?

0:10:30.360 --> 0:10:32.600
<v Speaker 2>Molly Smith, Nicky Bard, thank you so much.

0:10:32.880 --> 0:10:34.439
<v Speaker 3>Over ad aptos. This is Bloomberg.

0:10:35.200 --> 0:10:38.760
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:10:38.800 --> 0:10:42.120
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:10:42.200 --> 0:10:46.240
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business app,

0:10:46.520 --> 0:10:48.840
<v Speaker 1>or watch us live on YouTube.

0:10:49.440 --> 0:10:52.280
<v Speaker 2>We're going to talk a little bit more about Tapestry.

0:10:52.360 --> 0:10:54.760
<v Speaker 2>As Charlie mentioned, you know who they are. They own

0:10:55.120 --> 0:10:57.520
<v Speaker 2>coach Kate Spade, you know, used to be coached but

0:10:57.640 --> 0:10:58.920
<v Speaker 2>rebranded a few years ago.

0:10:59.160 --> 0:11:00.600
<v Speaker 4>I was going to say, I don't know if everyone

0:11:00.640 --> 0:11:03.320
<v Speaker 4>knows who they are. I think like when this rebranding happened, Carol,

0:11:03.320 --> 0:11:05.120
<v Speaker 4>I was like, I'm gonna have such a hard time Keeping,

0:11:05.320 --> 0:11:08.640
<v Speaker 4>Capri and Tapestry straight and like what companies they own.

0:11:08.760 --> 0:11:10.800
<v Speaker 2>I was gonna like, I feel like I'm gonna age myself,

0:11:10.840 --> 0:11:11.800
<v Speaker 2>although I was not.

0:11:12.000 --> 0:11:13.760
<v Speaker 3>I was young, or it was my older.

0:11:13.520 --> 0:11:16.079
<v Speaker 2>Sister's album, but Carol King and Tapestry, like, every time

0:11:16.080 --> 0:11:17.319
<v Speaker 2>I see it, I'm like Tapestry.

0:11:17.400 --> 0:11:19.320
<v Speaker 3>That's all I can think of.

0:11:18.720 --> 0:11:24.320
<v Speaker 2>Of that album anyway. Yes, Capri Holdings, though it was

0:11:24.360 --> 0:11:28.720
<v Speaker 2>created by Michael Cores, it owns Versace, it owns Jimmy Cho,

0:11:28.920 --> 0:11:30.840
<v Speaker 2>so it definitely is kind of your higher end eight

0:11:30.880 --> 0:11:33.480
<v Speaker 2>and a half billion dollar deal, as Charlie laid out,

0:11:33.800 --> 0:11:35.880
<v Speaker 2>and so we are seeing some movement when it comes

0:11:35.920 --> 0:11:38.400
<v Speaker 2>to luxury goods. I feel like that has certainly been

0:11:38.400 --> 0:11:43.560
<v Speaker 2>a bright spot when it comes to retail, although, forgive me, coaching,

0:11:43.600 --> 0:11:46.080
<v Speaker 2>Kate's bait not inexpensive, but I don't know if I

0:11:46.120 --> 0:11:49.560
<v Speaker 2>put that in the same category as something like an lvmah.

0:11:50.120 --> 0:11:52.160
<v Speaker 4>Well, I'm glad he brought them up because that is

0:11:52.240 --> 0:11:55.640
<v Speaker 4>the context here, right, taken on the European rivals, and

0:11:55.679 --> 0:11:58.240
<v Speaker 4>we got a great group to really talk us through it.

0:11:58.360 --> 0:12:01.640
<v Speaker 4>Bloomberg News US Luxury Retail Personal care Industries reporter Janete

0:12:01.640 --> 0:12:03.720
<v Speaker 4>Newman joins us on the phone from New York City,

0:12:03.840 --> 0:12:06.880
<v Speaker 4>and our Bloomberg Intelligence team Deborah Aitkins, senior analyst who

0:12:06.920 --> 0:12:10.560
<v Speaker 4>covers global luxury goods, home beauty, and personal care. She

0:12:10.640 --> 0:12:13.920
<v Speaker 4>joins us on the phone from London. Hey, Janette, I

0:12:13.960 --> 0:12:16.120
<v Speaker 4>just want to start with you give us the context here,

0:12:16.160 --> 0:12:18.160
<v Speaker 4>some of the deal terms, but also the context that

0:12:18.200 --> 0:12:19.840
<v Speaker 4>you and the team wrote about on the Consumer Team

0:12:19.880 --> 0:12:20.440
<v Speaker 4>earlier today.

0:12:21.320 --> 0:12:23.200
<v Speaker 9>Yeah, thank you so much. And I also love the

0:12:23.200 --> 0:12:26.360
<v Speaker 9>Tapestry album as well. I will just I will, I will,

0:12:27.120 --> 0:12:29.880
<v Speaker 9>I will join you on that. I mean, I think,

0:12:29.960 --> 0:12:32.840
<v Speaker 9>I think some of the context here is just that,

0:12:33.000 --> 0:12:37.480
<v Speaker 9>you know, Coach went into the pandemic much stronger than

0:12:37.520 --> 0:12:40.240
<v Speaker 9>Michael Core's and has come out of the pandemic much

0:12:40.240 --> 0:12:43.640
<v Speaker 9>stronger than Michael Core's. And we're seeing that, you know,

0:12:43.679 --> 0:12:47.520
<v Speaker 9>in the sense that now coaches parent company is taking

0:12:47.640 --> 0:12:49.640
<v Speaker 9>is taking over at Michael Core's. And I think some

0:12:49.679 --> 0:12:51.560
<v Speaker 9>of the reasons for that, I mean, you know, keep

0:12:51.559 --> 0:12:53.839
<v Speaker 9>in mind, going back at decade, these companies used to

0:12:53.840 --> 0:12:56.880
<v Speaker 9>be kind of head to head competitors, and Coach has

0:12:56.920 --> 0:12:59.400
<v Speaker 9>really pulled ahead of Michael Cores. It's been able to

0:12:59.480 --> 0:13:02.880
<v Speaker 9>raise prices, raised its brand, brand Cachet. It's done that

0:13:03.040 --> 0:13:07.160
<v Speaker 9>through you know, some clever some clever designs. It's renovated

0:13:07.200 --> 0:13:10.280
<v Speaker 9>its stores, whereas Michael Core's has struggled a bit more.

0:13:10.520 --> 0:13:13.280
<v Speaker 9>It's still very present in some kind of lower end

0:13:13.840 --> 0:13:17.520
<v Speaker 9>department stores. As you both mentioned, I mean Michael Core's

0:13:17.679 --> 0:13:21.160
<v Speaker 9>is more a mass market coach, is not. You know,

0:13:21.200 --> 0:13:23.679
<v Speaker 9>it's a level of competing with some of the LVMH's

0:13:23.720 --> 0:13:26.280
<v Speaker 9>of the world. But it's definitely been able to charge

0:13:26.320 --> 0:13:30.160
<v Speaker 9>more more for its handbags. And both of these companies,

0:13:30.640 --> 0:13:33.000
<v Speaker 9>you know, together now, I mean they will have completely

0:13:33.000 --> 0:13:36.320
<v Speaker 9>they will completely dominate the US handbag market all right

0:13:36.440 --> 0:13:37.200
<v Speaker 9>here in the US.

0:13:37.240 --> 0:13:38.880
<v Speaker 2>Well, Deborah, we want to bring you into this, as

0:13:38.880 --> 0:13:41.800
<v Speaker 2>we've mentioned, senior analyst who covers global luxury goods, home, beauty,

0:13:41.840 --> 0:13:44.720
<v Speaker 2>and personal care for our Bloomberg Intelligence team. She's on

0:13:44.760 --> 0:13:48.760
<v Speaker 2>the phone in London, Debra, how do you see this deal?

0:13:48.960 --> 0:13:51.320
<v Speaker 2>And is it about the Michael Core's brand, Is it

0:13:51.360 --> 0:13:53.520
<v Speaker 2>about Jimmy too? Is it about fisaces?

0:13:53.880 --> 0:13:55.959
<v Speaker 3>All of it? Like, how are you thinking about this?

0:13:58.520 --> 0:14:00.760
<v Speaker 10>So they all have their place are but when we

0:14:00.840 --> 0:14:05.920
<v Speaker 10>think about microcres seventy of the business, you know, the

0:14:06.360 --> 0:14:10.920
<v Speaker 10>purchase price there it's about really reinventing the micro courts

0:14:10.960 --> 0:14:16.480
<v Speaker 10>that manage to do so. I see that in the

0:14:16.640 --> 0:14:19.440
<v Speaker 10>US will be the big market in the fixed market,

0:14:19.520 --> 0:14:25.360
<v Speaker 10>in digital, in wholesale, but but also you know, there's

0:14:25.440 --> 0:14:29.640
<v Speaker 10>there's much more to do elsewhere, and I just feel

0:14:29.680 --> 0:14:33.520
<v Speaker 10>that Michael Cares has lost its way. It really reinvented

0:14:33.560 --> 0:14:35.480
<v Speaker 10>itself a few years ago, and then I felt it

0:14:35.480 --> 0:14:39.000
<v Speaker 10>became too saturated in the marketplace and there's more to do.

0:14:39.160 --> 0:14:42.560
<v Speaker 10>And I feel that the data composition and the way

0:14:42.600 --> 0:14:46.720
<v Speaker 10>that digital works and the way that if we think

0:14:46.760 --> 0:14:49.760
<v Speaker 10>about the way that Tapestry works, that they depend less

0:14:50.160 --> 0:14:53.720
<v Speaker 10>on wholesale accounts, which is really felt the pain in

0:14:53.760 --> 0:14:56.400
<v Speaker 10>the US in the last few months, then that could

0:14:56.440 --> 0:15:00.280
<v Speaker 10>be beneficial. The other side of it for me that

0:15:00.280 --> 0:15:03.480
<v Speaker 10>there's a lot to do with Sosauce and Jimmy Cho.

0:15:03.560 --> 0:15:07.080
<v Speaker 10>They're not sizable. There was always a comment that the

0:15:07.200 --> 0:15:09.920
<v Speaker 10>SARChI could double and that it should be doing more

0:15:09.960 --> 0:15:13.440
<v Speaker 10>in Europe too, and it gives it gives a footprint

0:15:13.520 --> 0:15:17.280
<v Speaker 10>for Tapestry into that luxury market which is so much

0:15:17.400 --> 0:15:19.600
<v Speaker 10>more profitable and much faster growth.

0:15:19.920 --> 0:15:21.720
<v Speaker 2>Jenett, I want to bring you in back. I'll bring

0:15:21.760 --> 0:15:24.760
<v Speaker 2>you back in I'm looking at Tapestry down about sixteen

0:15:24.800 --> 0:15:27.440
<v Speaker 2>percent it's been it's that it's pretty much its lows

0:15:27.480 --> 0:15:31.440
<v Speaker 2>of the day, and Capri no surprise as being the

0:15:31.760 --> 0:15:35.080
<v Speaker 2>target here is just not quite a premium right, at

0:15:35.120 --> 0:15:37.000
<v Speaker 2>quite a premium right in terms of this deal. I

0:15:37.000 --> 0:15:39.160
<v Speaker 2>mean it's up fifty five percent. I'm looking at it's

0:15:39.160 --> 0:15:40.720
<v Speaker 2>an eight and a half billion dollar deal and we're

0:15:40.760 --> 0:15:43.400
<v Speaker 2>looking at a market cap of six point three billion, So,

0:15:43.800 --> 0:15:46.000
<v Speaker 2>you know, it's just kind of interesting in terms of

0:15:46.360 --> 0:15:51.160
<v Speaker 2>some of the financials Tapestry shares. Not surprising for it

0:15:51.240 --> 0:15:53.120
<v Speaker 2>to be down as the acquirer, but it seems like

0:15:53.200 --> 0:15:55.360
<v Speaker 2>a lot is that investors saying you paid too much.

0:15:56.360 --> 0:16:02.400
<v Speaker 9>I think part of it is an investors questioning how

0:16:02.520 --> 0:16:05.600
<v Speaker 9>easy it will be for Tapestry to turn around the

0:16:05.600 --> 0:16:08.040
<v Speaker 9>Michael Core's brand, which has some of the you know,

0:16:08.080 --> 0:16:10.840
<v Speaker 9>the problems that that Debra, that Debra laid out right,

0:16:10.880 --> 0:16:14.360
<v Speaker 9>I mean, Tapestry is essentially coach coaches the majority of

0:16:14.360 --> 0:16:17.800
<v Speaker 9>its revenue, and Michael and Capri is essentially Michael Core's

0:16:17.840 --> 0:16:20.680
<v Speaker 9>that's that's the bulk of it of its revenue, something

0:16:20.680 --> 0:16:23.200
<v Speaker 9>around like seventy percent. And as Debra said, it's been

0:16:23.240 --> 0:16:25.600
<v Speaker 9>a brand that's been struggling, and so to make this

0:16:25.760 --> 0:16:29.920
<v Speaker 9>deal really work, Tapestry has to turn around Michael Core's.

0:16:29.960 --> 0:16:32.960
<v Speaker 9>And you know, people would say, okay, well, the executives

0:16:32.960 --> 0:16:35.640
<v Speaker 9>at Tapestry, they've been able to turn around the Coach brand.

0:16:35.760 --> 0:16:37.640
<v Speaker 9>You know, think about the Coach brand a decade ago

0:16:37.720 --> 0:16:40.320
<v Speaker 9>and think of where it is now. It's really elevated it.

0:16:41.120 --> 0:16:43.080
<v Speaker 9>But the question is still there, you know, whether they'll

0:16:43.120 --> 0:16:44.840
<v Speaker 9>be able to turn around the Michael Core's brand. And

0:16:45.120 --> 0:16:48.200
<v Speaker 9>keep in mind, you know, they turned around Coach. They

0:16:48.240 --> 0:16:51.760
<v Speaker 9>did a okay job turning around Cape Spain, although that's

0:16:51.760 --> 0:16:54.000
<v Speaker 9>still a work in progress. They did not turn around

0:16:54.040 --> 0:16:56.880
<v Speaker 9>Stuart Wisman. Their other brands. That's kind of that's kind

0:16:56.880 --> 0:16:59.800
<v Speaker 9>of in the dumps, and now they're taking on three more.

0:17:00.440 --> 0:17:02.880
<v Speaker 9>So the question is still there if they'll be able

0:17:02.880 --> 0:17:06.480
<v Speaker 9>to kind of take this successful Coach playbook and apply

0:17:06.560 --> 0:17:09.080
<v Speaker 9>it to Michael Core's while they obviously are juggling a

0:17:09.080 --> 0:17:11.439
<v Speaker 9>lot of other a lot of other new companies that

0:17:11.480 --> 0:17:13.000
<v Speaker 9>they've acquired to at any.

0:17:12.800 --> 0:17:17.080
<v Speaker 4>Regulatory risk here, I think that's that's.

0:17:16.960 --> 0:17:19.439
<v Speaker 9>A question that's been it's been raised, and we'll, you know,

0:17:19.520 --> 0:17:23.000
<v Speaker 9>obviously we'll have to We'll have to see I mean

0:17:23.320 --> 0:17:25.639
<v Speaker 9>this some of the data that we that we have

0:17:25.800 --> 0:17:29.119
<v Speaker 9>from Global Data and Analystic Global Data. Uh, you know,

0:17:29.160 --> 0:17:31.920
<v Speaker 9>these two companies combined will be the fourth largest luxury

0:17:31.920 --> 0:17:34.040
<v Speaker 9>company in the world, with a market share of around

0:17:34.119 --> 0:17:36.639
<v Speaker 9>five point one percent. In the Americas, they'll be the

0:17:36.640 --> 0:17:40.639
<v Speaker 9>second largest player behind LVMH. So that those those numbers

0:17:40.640 --> 0:17:43.120
<v Speaker 9>make people think that's not as much of the concern,

0:17:43.160 --> 0:17:45.320
<v Speaker 9>but that is still to be sure.

0:17:45.480 --> 0:17:48.919
<v Speaker 2>Debra as an analyst who's covering this sector, and I

0:17:48.960 --> 0:17:52.000
<v Speaker 2>do wonder how much time do you think, you know,

0:17:52.040 --> 0:17:55.240
<v Speaker 2>investors need to give Tapestry to be able to kind

0:17:55.240 --> 0:17:58.080
<v Speaker 2>of figure out how they turn around the core's brand.

0:17:59.359 --> 0:18:00.960
<v Speaker 3>Knowing maybe some of the problems.

0:18:01.080 --> 0:18:02.560
<v Speaker 2>I have to say, I feel like I see cores

0:18:02.680 --> 0:18:04.520
<v Speaker 2>everywhere and I feel like it's a little saturated.

0:18:04.520 --> 0:18:05.639
<v Speaker 3>Maybe that's part of the problem.

0:18:05.840 --> 0:18:10.760
<v Speaker 10>Yeah, yeah, I would say this is a two to

0:18:10.800 --> 0:18:12.919
<v Speaker 10>three year fixed. I mean, it doesn't it's not let

0:18:13.000 --> 0:18:17.159
<v Speaker 10>a complete until calendar twenty four, So we probably see

0:18:17.160 --> 0:18:20.359
<v Speaker 10>by maybe end of first quarter twenty four that this

0:18:20.520 --> 0:18:25.160
<v Speaker 10>deal completes through and from there we wait two years

0:18:25.200 --> 0:18:30.479
<v Speaker 10>for two hundred million synergies to move through. We end up.

0:18:30.520 --> 0:18:34.119
<v Speaker 10>I think with a maybe an an adjusted EBITDA margin

0:18:34.200 --> 0:18:36.040
<v Speaker 10>on the back of that that's probably one hundred and

0:18:36.040 --> 0:18:41.000
<v Speaker 10>fifty basis points and get it to mid teen's operating margin.

0:18:41.600 --> 0:18:44.200
<v Speaker 10>But versus some of those peers, as appears, that still

0:18:44.280 --> 0:18:48.000
<v Speaker 10>isn't enough. So for me, I think it's a two

0:18:48.080 --> 0:18:51.600
<v Speaker 10>to three year process, and I feel that standalone could

0:18:51.600 --> 0:18:55.440
<v Speaker 10>pre given where the debt was and how it needed

0:18:55.480 --> 0:18:58.840
<v Speaker 10>to turn everything, that it maybe is better within this

0:18:58.960 --> 0:19:04.680
<v Speaker 10>portfolio because of that wholesale adaptation of the model, because

0:19:04.720 --> 0:19:08.760
<v Speaker 10>of the data capture, because of working more closely with digital.

0:19:08.800 --> 0:19:11.920
<v Speaker 10>There's a big difference between these. But the other side

0:19:11.960 --> 0:19:15.520
<v Speaker 10>of it is I actually feel that it's in the

0:19:15.600 --> 0:19:18.520
<v Speaker 10>price that this was going to happen. And when we say,

0:19:18.560 --> 0:19:22.040
<v Speaker 10>you know stocks are very much today, trailed back over

0:19:22.080 --> 0:19:24.359
<v Speaker 10>a year and was looking at a mix of buy

0:19:24.440 --> 0:19:29.040
<v Speaker 10>and hold, arm or are on a function looking at

0:19:30.000 --> 0:19:37.440
<v Speaker 10>potential price target, it's about above an AD when we're

0:19:37.480 --> 0:19:42.080
<v Speaker 10>looking at recommendation. But that price target was seventy dollars,

0:19:42.240 --> 0:19:45.040
<v Speaker 10>and I know that was now over sixty percent of

0:19:45.119 --> 0:19:47.760
<v Speaker 10>the market was into the Northern Road put, which is

0:19:47.880 --> 0:19:52.400
<v Speaker 10>cooled down, but it's not fair gitten into the biggest ye.

0:19:54.080 --> 0:19:56.639
<v Speaker 2>Of our Bloomberg Intelligence team and Jeanette Newman of course

0:19:56.680 --> 0:19:58.919
<v Speaker 2>at Bloomberg News who both of them. Of course, following

0:19:58.920 --> 0:19:59.680
<v Speaker 2>this space.

0:20:00.119 --> 0:20:03.680
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:20:03.720 --> 0:20:07.720
<v Speaker 1>live weekday afternoons from three to six Eastern on Bloomberg Radio,

0:20:07.920 --> 0:20:11.200
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:20:11.320 --> 0:20:14.400
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:20:14.840 --> 0:20:19.480
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty, tim you got to.

0:20:19.480 --> 0:20:21.800
<v Speaker 2>Say What's straight to the CDC website for the stats

0:20:21.800 --> 0:20:25.520
<v Speaker 2>on this and found each year, approximately thirty thousand cases

0:20:25.520 --> 0:20:28.480
<v Speaker 2>of lime disease are reported to the CDC by state

0:20:28.520 --> 0:20:33.399
<v Speaker 2>health departments and the District of clumber How Columbia. Excuse me, However,

0:20:33.440 --> 0:20:36.239
<v Speaker 2>this number doesn't reflect every case, and I guess they

0:20:36.280 --> 0:20:40.760
<v Speaker 2>say it could be if you use different estimates and

0:20:40.840 --> 0:20:42.120
<v Speaker 2>method dology.

0:20:42.480 --> 0:20:43.240
<v Speaker 3>I'll get it out.

0:20:43.560 --> 0:20:45.520
<v Speaker 2>It could be as much as almost half a million

0:20:45.520 --> 0:20:47.720
<v Speaker 2>people may get lime disease every year in the US.

0:20:47.760 --> 0:20:49.800
<v Speaker 4>Because the other issue we're going to talk about this

0:20:49.840 --> 0:20:52.160
<v Speaker 4>for the next you know, ten minutes. Yeah, the other

0:20:52.200 --> 0:20:55.400
<v Speaker 4>issue is that these cases don't necessarily all present symptoms

0:20:55.440 --> 0:20:58.560
<v Speaker 4>in the same way exactly. There's no clear definition coming

0:20:58.600 --> 0:20:59.760
<v Speaker 4>from medical professionals.

0:21:00.000 --> 0:21:00.840
<v Speaker 3>All right, so let's get to it.

0:21:00.920 --> 0:21:04.359
<v Speaker 2>Nicoled bomb Garth is with us, professor of Molecular Microbiology

0:21:04.359 --> 0:21:07.680
<v Speaker 2>and Immunology at the Johns Hopkins Bloomberg School of Public Health, which,

0:21:07.720 --> 0:21:10.200
<v Speaker 2>as you know, supported by Michael R. Bloomberg, founder of

0:21:10.240 --> 0:21:13.199
<v Speaker 2>Bloomberg LP and Bloomberg Philanthropy. Is Nicole joining us on

0:21:13.320 --> 0:21:16.560
<v Speaker 2>ZOOM in Baltimore. Nicole, nice to have you here with us.

0:21:17.000 --> 0:21:19.280
<v Speaker 2>Lime disease summer. I think about it. I'm up in

0:21:19.720 --> 0:21:21.399
<v Speaker 2>you know, if you're up in Connecticut or out in

0:21:21.440 --> 0:21:23.600
<v Speaker 2>the woods, like you know, you know that this is

0:21:23.640 --> 0:21:26.000
<v Speaker 2>something you need to think about it. Tell us, though,

0:21:26.000 --> 0:21:29.360
<v Speaker 2>from your perspective, how bad really? I can talk about cases,

0:21:29.359 --> 0:21:29.920
<v Speaker 2>but how.

0:21:29.800 --> 0:21:30.320
<v Speaker 3>Bad is it?

0:21:30.359 --> 0:21:33.040
<v Speaker 2>And as Tim said, it's not necessarily the same thing

0:21:33.080 --> 0:21:36.879
<v Speaker 2>for everyone? And what does bad mean in terms of

0:21:36.920 --> 0:21:38.520
<v Speaker 2>the impact it has on individuals.

0:21:40.000 --> 0:21:43.040
<v Speaker 11>Yes, thank you for having me and for this topic.

0:21:43.520 --> 0:21:45.840
<v Speaker 11>I think you're raising a very important point. We're just

0:21:45.920 --> 0:21:49.280
<v Speaker 11>that in most cases individuals who get bitten by a

0:21:49.400 --> 0:21:52.119
<v Speaker 11>tick and develop lime disease, we'll go to the GP

0:21:52.359 --> 0:21:57.360
<v Speaker 11>and get the necessary antibiotics and we'll recover fully by

0:21:57.400 --> 0:22:02.120
<v Speaker 11>the small subset of patients not and that could be

0:22:02.119 --> 0:22:06.119
<v Speaker 11>because maybe their diagnosis was delayed, that may not have

0:22:06.320 --> 0:22:10.840
<v Speaker 11>known that they had a tick bite all because of

0:22:10.960 --> 0:22:14.639
<v Speaker 11>some genetic predisposition that we don't really fully understand. And

0:22:14.680 --> 0:22:19.400
<v Speaker 11>the developed disease that can be very debilitating. It can

0:22:19.480 --> 0:22:24.040
<v Speaker 11>lead to long term consequences. So people talk about having

0:22:24.080 --> 0:22:29.920
<v Speaker 11>brain fall, not being able to concentrate, developing a neurological symptoms,

0:22:30.760 --> 0:22:37.080
<v Speaker 11>and unable to function, and that really is life changing

0:22:37.280 --> 0:22:39.000
<v Speaker 11>for these individuals.

0:22:39.040 --> 0:22:42.960
<v Speaker 4>Professor. I've talked to people who have hadline disease and

0:22:43.000 --> 0:22:46.960
<v Speaker 4>they tell me the resistance that they came up against

0:22:47.440 --> 0:22:51.879
<v Speaker 4>in their diagnosis from the medical community about being diagnosed.

0:22:51.880 --> 0:22:53.639
<v Speaker 4>And I'm wondering if you can speak to that at all,

0:22:53.720 --> 0:22:56.600
<v Speaker 4>if that's changed in recent years as we become more

0:22:56.600 --> 0:22:58.600
<v Speaker 4>aware of it and more aware of the symptoms.

0:22:59.240 --> 0:23:02.679
<v Speaker 11>Yeah, I think it has has changed. I mean I

0:23:02.680 --> 0:23:05.800
<v Speaker 11>think where the resistant was was never to you know,

0:23:05.880 --> 0:23:09.080
<v Speaker 11>you appear at your GP's office and say you've seen

0:23:09.119 --> 0:23:11.119
<v Speaker 11>a tick or you've been out in the woods, and

0:23:11.240 --> 0:23:14.680
<v Speaker 11>now you display these symptoms. You may even have that

0:23:14.680 --> 0:23:20.320
<v Speaker 11>that very distinct woods I rush A gpiece would immediately

0:23:21.280 --> 0:23:23.800
<v Speaker 11>come to the conclusion that are more likelihood you have

0:23:23.960 --> 0:23:28.399
<v Speaker 11>line disease. It's really those protracted cases where you have

0:23:28.560 --> 0:23:33.359
<v Speaker 11>these very non specific symptoms of feeling tired and having

0:23:33.400 --> 0:23:37.399
<v Speaker 11>this brain fog and having pains and aches that are

0:23:37.440 --> 0:23:42.240
<v Speaker 11>really hard to pinpoints, so very non specific, and then

0:23:42.320 --> 0:23:46.840
<v Speaker 11>not having this history of having been out in the woods,

0:23:47.280 --> 0:23:50.120
<v Speaker 11>not making not being able to make this connection where

0:23:50.160 --> 0:23:54.680
<v Speaker 11>people really are resistant and you know, if the diagnosis

0:23:54.720 --> 0:23:57.560
<v Speaker 11>is protracted, you may have been out in the woods,

0:23:57.600 --> 0:24:00.280
<v Speaker 11>but you don't recall it. It's now weeks and months ago,

0:24:00.320 --> 0:24:04.399
<v Speaker 11>and many of us go go hiking frequently. So that

0:24:04.600 --> 0:24:10.000
<v Speaker 11>is really where the non specific nature of the symptoms

0:24:10.359 --> 0:24:14.920
<v Speaker 11>and we don't really have a really good diagnostic and

0:24:15.520 --> 0:24:21.000
<v Speaker 11>some of the patients that are being diagnosed don't come up.

0:24:21.240 --> 0:24:23.840
<v Speaker 4>With a positive dict like there's no test or the

0:24:23.880 --> 0:24:26.040
<v Speaker 4>test just yeah, I mean, forgive me, but I don't

0:24:26.080 --> 0:24:28.480
<v Speaker 4>know much about this. There's no test, or the test

0:24:28.520 --> 0:24:31.320
<v Speaker 4>doesn't show you know, the test isn't conclusive.

0:24:32.800 --> 0:24:36.720
<v Speaker 11>So when there is a test, and it's actually two

0:24:36.760 --> 0:24:39.919
<v Speaker 11>tests and you have to be positive in both tests

0:24:39.960 --> 0:24:43.240
<v Speaker 11>in order to be qualified by Celici criteria of having

0:24:43.320 --> 0:24:47.639
<v Speaker 11>lime disease, the problem comes when only one of the

0:24:47.680 --> 0:24:52.320
<v Speaker 11>tests shows are positive or the test doesn't show exactly

0:24:53.880 --> 0:24:56.960
<v Speaker 11>you know, isn't positive for all the criteria. So it's

0:24:57.000 --> 0:25:00.480
<v Speaker 11>not a very simple yes no test like we're used

0:25:00.480 --> 0:25:02.400
<v Speaker 11>to it, like what's the COVID test. It's a little

0:25:02.440 --> 0:25:06.400
<v Speaker 11>more complicated. And so so that is when the problem

0:25:06.440 --> 0:25:10.719
<v Speaker 11>comes in. And that again goes back to patients maybe

0:25:10.760 --> 0:25:13.320
<v Speaker 11>having had the infection but a long time ago, and

0:25:13.359 --> 0:25:17.520
<v Speaker 11>so it's not so clear to diagnose some using this test.

0:25:17.600 --> 0:25:22.639
<v Speaker 11>So the test, a positive test is always clear, but

0:25:22.760 --> 0:25:26.280
<v Speaker 11>when the tests are negative, you don't know whether really

0:25:26.320 --> 0:25:27.400
<v Speaker 11>means you haven't hadlines.

0:25:27.600 --> 0:25:30.520
<v Speaker 2>Hey, one thing, I'm curious whether it's limes disease or

0:25:30.560 --> 0:25:33.199
<v Speaker 2>something else, Nicole, Are you thinking more and more about

0:25:33.400 --> 0:25:36.520
<v Speaker 2>just the world's getting really populated and we are increasingly

0:25:36.520 --> 0:25:40.440
<v Speaker 2>pushing animals out of their normal domains and just living

0:25:40.480 --> 0:25:41.600
<v Speaker 2>closer and closer to them.

0:25:41.680 --> 0:25:43.280
<v Speaker 3>Is this just kind of part of.

0:25:43.280 --> 0:25:46.400
<v Speaker 2>The problems, whether it's limes disease or other illnesses, if you.

0:25:46.359 --> 0:25:49.600
<v Speaker 11>Will, it clearly has to do It has to do

0:25:49.800 --> 0:25:53.520
<v Speaker 11>with you know, climate change ticks on the move. You

0:25:53.600 --> 0:25:57.560
<v Speaker 11>know they're moving because it's warmer now and areas that

0:25:57.680 --> 0:26:00.280
<v Speaker 11>can move into areas that the previously didn't in the

0:26:00.320 --> 0:26:03.399
<v Speaker 11>hospital for them. And it is what you said, the

0:26:03.600 --> 0:26:05.879
<v Speaker 11>sort of us getting out there in areas that we

0:26:06.040 --> 0:26:11.280
<v Speaker 11>previously didn't worn out, and so we are really getting

0:26:11.320 --> 0:26:15.400
<v Speaker 11>into the life cycle that has been evolutionally established over

0:26:15.600 --> 0:26:17.520
<v Speaker 11>a very long period of time, and we are sort

0:26:17.560 --> 0:26:20.480
<v Speaker 11>of interrupting done as much as they're interrupting us.

0:26:20.520 --> 0:26:22.760
<v Speaker 4>When I was preparing for this, there's actually a map

0:26:22.800 --> 0:26:26.000
<v Speaker 4>on the CDC website that shows lime disease cases over

0:26:26.040 --> 0:26:28.359
<v Speaker 4>time by different states, and you can start it twenty

0:26:28.400 --> 0:26:31.040
<v Speaker 4>years ago, back in two thousand and one and see

0:26:31.080 --> 0:26:34.639
<v Speaker 4>the way that it's migrated. It's pretty remarkable, and not

0:26:34.680 --> 0:26:39.880
<v Speaker 4>in a good way. So, Professor, I'm wondering about vaccine

0:26:39.880 --> 0:26:42.720
<v Speaker 4>here because my understanding is that Viser's working on something

0:26:42.760 --> 0:26:44.919
<v Speaker 4>and it's been delayed, but it's in stage three trials

0:26:45.000 --> 0:26:47.800
<v Speaker 4>right now. What can you tell us about a vaccine

0:26:47.800 --> 0:26:48.480
<v Speaker 4>for lime disease.

0:26:49.800 --> 0:26:54.240
<v Speaker 11>I think it's absolutely doable, as I heard the band

0:26:54.960 --> 0:26:59.360
<v Speaker 11>before I came on. Yes, we're giving it to our paths, right.

0:26:59.480 --> 0:27:03.440
<v Speaker 11>Dogs get the lime vaccine, horses can get a lime vaccine,

0:27:03.840 --> 0:27:07.480
<v Speaker 11>and so I think it's absolutely doable to develop one

0:27:07.840 --> 0:27:11.960
<v Speaker 11>I'm very excited about the clinical trial. It has been

0:27:11.960 --> 0:27:14.280
<v Speaker 11>delayed and there have been some problems, so I hope

0:27:14.280 --> 0:27:18.119
<v Speaker 11>it we'll go forward and give us good results. The

0:27:18.440 --> 0:27:22.840
<v Speaker 11>challenge with any vacciners that because you know, we're getting

0:27:22.840 --> 0:27:25.320
<v Speaker 11>now into the quoder months, so the number of lime

0:27:25.359 --> 0:27:28.080
<v Speaker 11>disease cases is going down. This is obviously a challenge

0:27:28.080 --> 0:27:31.720
<v Speaker 11>for vaccine to show efficacy, but just really can we

0:27:31.800 --> 0:27:35.159
<v Speaker 11>reduce the number of cases of lime disease in the

0:27:35.200 --> 0:27:39.440
<v Speaker 11>population that got vaccinated. So it's a matter of how

0:27:39.440 --> 0:27:42.080
<v Speaker 11>many people do we vaccinate right, and then how many

0:27:42.119 --> 0:27:45.119
<v Speaker 11>of them would normally get lime disease. So it's not

0:27:45.240 --> 0:27:51.080
<v Speaker 11>a straightforward clinical trial, but I'm very hopeful that it

0:27:51.119 --> 0:27:54.040
<v Speaker 11>will show hopefully efficacy.

0:27:53.560 --> 0:27:55.199
<v Speaker 2>Because I have a really silly question because I do

0:27:55.240 --> 0:27:58.439
<v Speaker 2>think about my dogs, you know, flee in tich and

0:27:58.480 --> 0:28:00.760
<v Speaker 2>there's medicine we give that used to be some chemicals

0:28:00.760 --> 0:28:02.920
<v Speaker 2>on the back and now it's a pill that's got

0:28:02.920 --> 0:28:04.680
<v Speaker 2>like all these different things. I mean, if we could

0:28:04.720 --> 0:28:06.960
<v Speaker 2>do it with pets, why is it kind have taken

0:28:07.000 --> 0:28:09.000
<v Speaker 2>so long for us to maybe do something for humans.

0:28:09.040 --> 0:28:11.080
<v Speaker 2>And if it's not safe for my pet, maybe I

0:28:11.080 --> 0:28:14.320
<v Speaker 2>don't want to be given to my pet.

0:28:14.520 --> 0:28:16.880
<v Speaker 11>Yeah, I mean we don't want to go into order.

0:28:16.960 --> 0:28:18.960
<v Speaker 11>But I mean there was a vaccine on the market,

0:28:18.960 --> 0:28:23.080
<v Speaker 11>of course twenty over twenty years ago that was taken

0:28:23.200 --> 0:28:25.520
<v Speaker 11>off the market, but it wasn't taking off the market

0:28:25.600 --> 0:28:30.760
<v Speaker 11>because of law efficacy. There wasn't an idea that it

0:28:30.840 --> 0:28:32.880
<v Speaker 11>may cause side effects that we didn't want.

0:28:33.080 --> 0:28:36.560
<v Speaker 4>So those with those understanding is those were unfounded, and

0:28:36.560 --> 0:28:37.679
<v Speaker 4>it came at a time where there was a lot

0:28:37.680 --> 0:28:39.200
<v Speaker 4>of skepticism about vaccines.

0:28:39.920 --> 0:28:43.320
<v Speaker 11>Absolutely correct, Yes it turned out to be unfounded. But

0:28:44.000 --> 0:28:47.800
<v Speaker 11>I think once you have that doubt that something, maybe

0:28:48.200 --> 0:28:50.440
<v Speaker 11>you don't want to give something that's supposed to prevent

0:28:50.480 --> 0:28:53.080
<v Speaker 11>a disease on cause of disease, right, So to err

0:28:53.080 --> 0:28:57.080
<v Speaker 11>on the side of caution, I think, and really yeah,

0:28:57.280 --> 0:29:00.240
<v Speaker 11>to not have the headaches of people going off you're

0:29:00.240 --> 0:29:02.920
<v Speaker 11>for trying to give a vaccine. I think people the

0:29:03.080 --> 0:29:07.680
<v Speaker 11>company pointed off the market, which I think overall is unfortunate. Right,

0:29:08.160 --> 0:29:12.840
<v Speaker 11>you're seeing rights and cases. We need to really develop

0:29:12.880 --> 0:29:13.440
<v Speaker 11>a vaccine.

0:29:13.480 --> 0:29:15.760
<v Speaker 4>We have thirty seconds left. Just give us three tips

0:29:15.800 --> 0:29:17.959
<v Speaker 4>on how to stay safe from ticks for the remainder

0:29:17.960 --> 0:29:18.440
<v Speaker 4>of the summer.

0:29:19.720 --> 0:29:25.320
<v Speaker 11>Yes, we're long sleeved pants and shirts, and you know,

0:29:25.520 --> 0:29:28.840
<v Speaker 11>be a be a goof and put your socks, trousers

0:29:28.840 --> 0:29:37.240
<v Speaker 11>into your socks, and check yourself after you arrive home

0:29:37.320 --> 0:29:40.880
<v Speaker 11>for ticks and and your loved ones as well, and

0:29:41.200 --> 0:29:44.640
<v Speaker 11>maybe have a shower because some tics you can before

0:29:44.640 --> 0:29:47.160
<v Speaker 11>they're fully attached, you might be able to shower them away.

0:29:47.280 --> 0:29:49.800
<v Speaker 2>We felt like we feel like little monkeys at home

0:29:49.800 --> 0:29:51.000
<v Speaker 2>because we're always checking each other.

0:29:51.080 --> 0:29:53.000
<v Speaker 4>You got to do that, And god.

0:29:52.920 --> 0:29:55.880
<v Speaker 2>I've spent hours pulling ticks from my dog and the

0:29:55.960 --> 0:29:59.680
<v Speaker 2>call bombguard. She is molecular micropology and immunology professor at

0:29:59.720 --> 0:30:01.480
<v Speaker 2>John's Hopkins Bloomberg School of Public Health.

0:30:01.480 --> 0:30:03.400
<v Speaker 3>Thank you so much for joining us.

0:30:04.440 --> 0:30:08.760
<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

0:30:08.960 --> 0:30:12.520
<v Speaker 1>editors who bring you America's most trusted business magazine, plus

0:30:12.600 --> 0:30:16.760
<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

0:30:16.760 --> 0:30:25.680
<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

0:30:25.880 --> 0:30:28.120
<v Speaker 2>Hailey Berg is back with us lead economists at the

0:30:28.160 --> 0:30:31.080
<v Speaker 2>travel app Hopper, and she joins us on ZAM from Boston.

0:30:31.080 --> 0:30:33.320
<v Speaker 2>First of all, Haley, we got that CPI print. We

0:30:33.440 --> 0:30:36.240
<v Speaker 2>did see airline prices coming down. Talk to us about

0:30:36.240 --> 0:30:39.160
<v Speaker 2>the environment, right now. What's going on in terms of pricing.

0:30:40.120 --> 0:30:42.520
<v Speaker 12>When we look at the domestic market, A lot of

0:30:42.560 --> 0:30:46.080
<v Speaker 12>what we're seeing this year is being driven by increased

0:30:46.080 --> 0:30:50.280
<v Speaker 12>capacity from airlines. We typically see a pretty tight relationship

0:30:50.320 --> 0:30:53.400
<v Speaker 12>between fares and how many seats are available to book.

0:30:53.800 --> 0:30:57.040
<v Speaker 12>Right now, we're above twenty nineteen levels. There are more

0:30:57.120 --> 0:31:00.400
<v Speaker 12>seats available to book on domestic airlines and there were

0:31:00.400 --> 0:31:04.440
<v Speaker 12>at this time in twenty nineteen. That combined with better

0:31:04.520 --> 0:31:07.600
<v Speaker 12>jet fuel prices down significantly from last year, still a

0:31:07.640 --> 0:31:11.479
<v Speaker 12>ways to go compared to twenty nineighteen, and demanded opening

0:31:11.520 --> 0:31:15.840
<v Speaker 12>up to international destinations, all has combined and has really

0:31:15.880 --> 0:31:18.920
<v Speaker 12>added to a seasonal effect. Typically fares drop at this

0:31:19.000 --> 0:31:21.880
<v Speaker 12>time of the year, but that's being compounded by this

0:31:22.000 --> 0:31:25.640
<v Speaker 12>increase in supply shift and demand and some relief fun costs,

0:31:25.680 --> 0:31:28.120
<v Speaker 12>and that's how we end up with prices about ten

0:31:28.200 --> 0:31:32.040
<v Speaker 12>percent lower than last year and versus twenty nineteen.

0:31:32.520 --> 0:31:37.600
<v Speaker 4>So did the international tickets are they just like totally

0:31:37.640 --> 0:31:40.200
<v Speaker 4>exempt from this we're seeing because since demand is so high,

0:31:40.200 --> 0:31:42.080
<v Speaker 4>international is continuing to be expensive.

0:31:43.000 --> 0:31:47.560
<v Speaker 12>International remains extremely expensive on long haul routes. Think fares

0:31:47.600 --> 0:31:50.800
<v Speaker 12>to Asia well over fourteen hundred dollars up almost sixty

0:31:50.800 --> 0:31:54.920
<v Speaker 12>percent in economy. That would be an average what we

0:31:54.960 --> 0:31:57.400
<v Speaker 12>call a good deal price. So at economy basic economy

0:31:57.400 --> 0:31:59.680
<v Speaker 12>ticket pretty much anything excluding first or business.

0:32:00.440 --> 0:32:02.680
<v Speaker 3>All right, so Asian? What about Europe? Specifically?

0:32:03.880 --> 0:32:07.640
<v Speaker 12>Europe was very expensive this summer peaks over fourteen hundred

0:32:07.680 --> 0:32:10.840
<v Speaker 12>dollars a ticket, but we have seen significant improvement in

0:32:10.880 --> 0:32:13.200
<v Speaker 12>the last couple of weeks. Some of that is seasonal,

0:32:13.400 --> 0:32:16.160
<v Speaker 12>some of that is supply. Airlines have gotten back to

0:32:16.200 --> 0:32:20.120
<v Speaker 12>about ninety seven percent of twenty nineteen capacity, so we

0:32:20.320 --> 0:32:23.680
<v Speaker 12>have seen demand shift back international. If it feels like

0:32:23.720 --> 0:32:26.320
<v Speaker 12>everyone you know is in Italy, it's because they probably are.

0:32:26.440 --> 0:32:26.920
<v Speaker 7>I feel like the.

0:32:26.960 --> 0:32:29.320
<v Speaker 4>Third person, like the third person to say that to

0:32:29.400 --> 0:32:31.200
<v Speaker 4>me in twenty four hours.

0:32:31.320 --> 0:32:33.720
<v Speaker 3>You're so everybody's going like if you.

0:32:33.640 --> 0:32:37.800
<v Speaker 4>Open up Instagram, apparently, yeah, where's the place to go? Sicily?

0:32:37.840 --> 0:32:39.480
<v Speaker 4>Is it like because of the white Lotus?

0:32:39.960 --> 0:32:42.520
<v Speaker 12>We are definitely seeing some what we call set jetting,

0:32:42.680 --> 0:32:47.000
<v Speaker 12>So Palermo and Tara Mina in Sicily are very popular.

0:32:47.320 --> 0:32:50.080
<v Speaker 12>But then some of the usual suspects we see, the

0:32:50.080 --> 0:32:53.960
<v Speaker 12>Amalfi Coast Rome and Milan like Como very popular at

0:32:53.960 --> 0:32:54.600
<v Speaker 12>this time of year.

0:32:54.720 --> 0:32:57.440
<v Speaker 2>So what happens. Does it stay this way or then

0:32:57.480 --> 0:32:59.480
<v Speaker 2>once we start to get closer to holidays it starts

0:32:59.520 --> 0:33:00.840
<v Speaker 2>we start uptick.

0:33:01.760 --> 0:33:04.240
<v Speaker 12>On the domestic front, we have a couple more weeks

0:33:04.240 --> 0:33:06.800
<v Speaker 12>of these low fares. We're expecting them to bottom out

0:33:06.840 --> 0:33:10.440
<v Speaker 12>this month, and then they'll start rising in late September

0:33:10.720 --> 0:33:14.360
<v Speaker 12>early October when travelers are starting to plan those trips

0:33:14.400 --> 0:33:17.880
<v Speaker 12>for Thanksgiving and Christmas, and we'll see them rise back

0:33:17.920 --> 0:33:21.280
<v Speaker 12>to reach about pre pandemic levels. In December, we'll pretty

0:33:21.360 --> 0:33:23.880
<v Speaker 12>much match where we were in twenty nineteen and twenty

0:33:23.880 --> 0:33:26.840
<v Speaker 12>twenty two in December about toot eighty a ticket if

0:33:26.880 --> 0:33:28.520
<v Speaker 12>you're booking something at the end of the year.

0:33:28.880 --> 0:33:31.440
<v Speaker 4>Okay, so when should we be booking for holidays?

0:33:32.840 --> 0:33:35.600
<v Speaker 12>Not yet, it's too really, I think it's truly getting

0:33:36.160 --> 0:33:39.520
<v Speaker 12>everyone is feeling trigger happy. But the sweet spot for

0:33:39.600 --> 0:33:43.240
<v Speaker 12>booking your trips home for the holidays is actually from

0:33:43.280 --> 0:33:47.760
<v Speaker 12>about September fourteenth to October fourteenth. So that four week

0:33:47.840 --> 0:33:51.160
<v Speaker 12>window at the end of September and early October, fares

0:33:51.240 --> 0:33:54.560
<v Speaker 12>for trips home for the holidays they start incredibly high.

0:33:54.560 --> 0:33:55.120
<v Speaker 5>In the summer.

0:33:55.200 --> 0:33:58.760
<v Speaker 12>You'd be paying about twenty percent more than previous years.

0:33:58.800 --> 0:34:01.000
<v Speaker 12>If you booked right now, But if you wait, they're

0:34:01.040 --> 0:34:03.360
<v Speaker 12>going to come down during that sweet spot. That's really

0:34:03.400 --> 0:34:04.080
<v Speaker 12>when you want a book.

0:34:04.120 --> 0:34:05.640
<v Speaker 2>So you're saying, if I've got a kid to bring

0:34:05.760 --> 0:34:09.520
<v Speaker 2>back home overseas because of college overseas, I got to

0:34:09.560 --> 0:34:10.719
<v Speaker 2>book that ticket pretty soon.

0:34:12.000 --> 0:34:15.000
<v Speaker 12>Yes, international affairs for the holidays. You'll want a book

0:34:15.040 --> 0:34:17.759
<v Speaker 12>between now and probably the end of September. So you've

0:34:17.760 --> 0:34:19.520
<v Speaker 12>got a couple of weeks, maybe two months.

0:34:19.560 --> 0:34:21.000
<v Speaker 4>You've got to tell her now or else you won't

0:34:21.000 --> 0:34:23.000
<v Speaker 4>do it.

0:34:23.480 --> 0:34:26.040
<v Speaker 12>Non stop ticket on a popular route and you see

0:34:26.080 --> 0:34:27.239
<v Speaker 12>a good deal, definitely go on.

0:34:27.320 --> 0:34:29.279
<v Speaker 4>You know what's funny though the kids, The kids haven't

0:34:29.280 --> 0:34:30.480
<v Speaker 4>even left yet for their trip.

0:34:30.680 --> 0:34:34.600
<v Speaker 2>That's what I'm saying, she's here right now. Yeah. What

0:34:34.640 --> 0:34:38.640
<v Speaker 2>about what about hotels and I don't know, cruises. What

0:34:39.000 --> 0:34:40.440
<v Speaker 2>are some of the other things that you're seeing When

0:34:40.440 --> 0:34:42.080
<v Speaker 2>it comes to travel and costs.

0:34:43.080 --> 0:34:46.680
<v Speaker 12>Hotels are still pretty expensive. Prices are about ten to

0:34:46.719 --> 0:34:49.600
<v Speaker 12>eleven percent higher in this time last year, about one

0:34:49.640 --> 0:34:51.880
<v Speaker 12>to eighty a night for a US hotel.

0:34:52.360 --> 0:34:54.080
<v Speaker 5>But something to keep in mind.

0:34:54.080 --> 0:34:58.680
<v Speaker 12>Is travel behavior. We are definitely travelers now who are

0:34:58.680 --> 0:35:00.839
<v Speaker 12>planning a little bit more less minute. When it comes

0:35:00.840 --> 0:35:04.040
<v Speaker 12>to flights, that's actually a good thing for hotel booking.

0:35:04.200 --> 0:35:06.640
<v Speaker 12>Booking hotels at the last minute, as long as it's

0:35:06.640 --> 0:35:10.320
<v Speaker 12>not a major resort that sells out early, can actually

0:35:10.360 --> 0:35:13.920
<v Speaker 12>save you about twenty five percent off of peak prices.

0:35:13.960 --> 0:35:15.280
<v Speaker 5>Because most people plan ahead.

0:35:15.320 --> 0:35:17.400
<v Speaker 12>If you're booking the last couple of days before check in,

0:35:17.600 --> 0:35:20.920
<v Speaker 12>hotels drop prices, you can actually save a significant amount

0:35:20.920 --> 0:35:22.240
<v Speaker 12>if you're a procrastinator.

0:35:23.719 --> 0:35:25.400
<v Speaker 4>I want to go back to the fuel costs and

0:35:25.440 --> 0:35:27.960
<v Speaker 4>to what extent fuel costs have to do with high

0:35:28.000 --> 0:35:33.200
<v Speaker 4>ticket prices. Do you know, Hayley, what portion of an

0:35:33.239 --> 0:35:37.600
<v Speaker 4>airline ticket is accounted for in fuel costs? Or I

0:35:37.640 --> 0:35:40.200
<v Speaker 4>should say, what portion of a ticket you know is

0:35:40.560 --> 0:35:41.720
<v Speaker 4>made up of fuel costs.

0:35:43.000 --> 0:35:46.880
<v Speaker 12>It varies by airline, depending on you know their operational

0:35:46.880 --> 0:35:51.560
<v Speaker 12>expenses in general, but also whether they're hedged. But traditionally

0:35:51.640 --> 0:35:55.719
<v Speaker 12>we've seen somewhere between fifteen and thirty percent of operational

0:35:55.719 --> 0:35:59.960
<v Speaker 12>expenses coming from fuel. It also differs by domestic and international.

0:36:00.040 --> 0:36:04.000
<v Speaker 12>Those long haul routes are less efficient with fuel. But typically,

0:36:04.200 --> 0:36:06.800
<v Speaker 12>you know, if we see a ten percent increase in

0:36:06.880 --> 0:36:09.839
<v Speaker 12>jet fuel prices, for example, we might expect about three

0:36:09.920 --> 0:36:13.600
<v Speaker 12>percent of that to be passed on to three percentage

0:36:14.000 --> 0:36:16.640
<v Speaker 12>of that ten percentage passed on to consumers.

0:36:16.760 --> 0:36:19.839
<v Speaker 2>Hayley just got thirty seconds. Any signs of recession in

0:36:19.880 --> 0:36:22.040
<v Speaker 2>the data and what you are seeing in the trends

0:36:22.080 --> 0:36:22.720
<v Speaker 2>that you are seeing.

0:36:24.080 --> 0:36:27.520
<v Speaker 12>We have been looking for it for maybe eighteen months now,

0:36:27.719 --> 0:36:30.680
<v Speaker 12>and I can say we still have not seen weakness

0:36:30.760 --> 0:36:34.400
<v Speaker 12>in demand in spending, in what we hear from our

0:36:34.480 --> 0:36:37.360
<v Speaker 12>users on the Hopper app on the whole, we're hearing

0:36:37.520 --> 0:36:40.279
<v Speaker 12>we're spending. We're spending more than we have historically, We're

0:36:40.320 --> 0:36:43.480
<v Speaker 12>taking more trips, and we're also seeing that in the

0:36:43.600 --> 0:36:46.560
<v Speaker 12>data what our bookers are actually doing so seem to

0:36:46.560 --> 0:36:48.440
<v Speaker 12>see strength and travel continuing.

0:36:49.239 --> 0:36:50.840
<v Speaker 4>I'm just going to say we have to go, but

0:36:50.840 --> 0:36:52.560
<v Speaker 4>I'm just going to get on a little rant here.

0:36:53.320 --> 0:36:57.640
<v Speaker 4>The airports are too crowded, they're gross. Being on an

0:36:57.640 --> 0:37:00.120
<v Speaker 4>airplane is no fun unless you're at the first on

0:37:00.239 --> 0:37:03.040
<v Speaker 4>the plane. It's miserable, and yet we pay through the

0:37:03.040 --> 0:37:03.480
<v Speaker 4>nose for it.

0:37:03.600 --> 0:37:04.640
<v Speaker 3>You are a crank man.

0:37:04.719 --> 0:37:06.400
<v Speaker 4>It is like when traveling with kids.

0:37:06.480 --> 0:37:09.719
<v Speaker 3>The thing it's like, it is hard, it's very difficult.

0:37:10.120 --> 0:37:12.640
<v Speaker 4>You expect me to change a diaper here, and then

0:37:12.640 --> 0:37:14.359
<v Speaker 4>when you get me a dirty.

0:37:14.120 --> 0:37:14.880
<v Speaker 3>The little one crising.

0:37:14.920 --> 0:37:17.799
<v Speaker 2>There's like, hey, I don't care any there, They're fine.

0:37:17.880 --> 0:37:20.839
<v Speaker 2>Haley Burg, lead economist of Red Hopper, Thank you so much.

0:37:21.360 --> 0:37:25.120
<v Speaker 3>This is Bloomberg Umbro mac.

0:37:26.760 --> 0:37:27.400
<v Speaker 7>A Journal.

0:37:28.480 --> 0:37:29.439
<v Speaker 1>How about you let me drive?

0:37:29.719 --> 0:37:35.080
<v Speaker 11>Oh no, no, no, no please, holright please, I'll do gravel

0:37:35.840 --> 0:37:40.160
<v Speaker 11>wat I want to try it. It's a good question.

0:37:43.960 --> 0:37:48.399
<v Speaker 1>This is the Drive to the Clothes Timing well yold

0:37:48.440 --> 0:37:50.360
<v Speaker 1>it on on Bloomberg Radio.

0:37:50.560 --> 0:37:52.840
<v Speaker 2>Right, TikTok, everybody. Just about seventeen and a half minutes

0:37:52.920 --> 0:37:55.919
<v Speaker 2>left to aim today's trading session. Carol Master along with Tim'

0:37:55.920 --> 0:37:58.840
<v Speaker 2>stenemiclive in our Bloomberg Interactive book or studio on YouTube

0:37:58.840 --> 0:38:01.799
<v Speaker 2>and Bloomberg Originals. And I think Romayne said it really

0:38:01.800 --> 0:38:04.280
<v Speaker 2>well in terms of the bouncing around that we are seeing,

0:38:04.640 --> 0:38:06.440
<v Speaker 2>certainly in the equity trade. I feel like that's been

0:38:06.480 --> 0:38:10.080
<v Speaker 2>going on throughout the week, Tim, But you got yields there.

0:38:10.160 --> 0:38:10.359
<v Speaker 1>Good.

0:38:10.440 --> 0:38:14.560
<v Speaker 4>I it's kind of wild today, Carol. You you look

0:38:14.600 --> 0:38:17.880
<v Speaker 4>at the Nasdaq, for example, and it was up as

0:38:17.920 --> 0:38:20.920
<v Speaker 4>much as seven tenths of a percent yeah earlier today?

0:38:21.120 --> 0:38:23.239
<v Speaker 4>Yeah down now down?

0:38:23.440 --> 0:38:23.680
<v Speaker 5>Yeah?

0:38:24.000 --> 0:38:24.560
<v Speaker 2>Down right?

0:38:24.800 --> 0:38:25.040
<v Speaker 12>Yeah?

0:38:25.239 --> 0:38:25.439
<v Speaker 1>Yeah?

0:38:25.560 --> 0:38:26.160
<v Speaker 3>Kind of flat.

0:38:26.200 --> 0:38:28.560
<v Speaker 2>I you know, I think we're going to live from

0:38:28.640 --> 0:38:30.200
<v Speaker 2>data point to data point, and we're also going to

0:38:30.239 --> 0:38:32.479
<v Speaker 2>wait until kind of the next FED meeting. I feel

0:38:32.480 --> 0:38:33.880
<v Speaker 2>like that's going to be our life for a little bit.

0:38:34.560 --> 0:38:36.640
<v Speaker 2>But let's see what Aaron Kennon says. He's much smarter

0:38:36.680 --> 0:38:40.520
<v Speaker 2>than me, that's for sure, and is in it. He is,

0:38:40.520 --> 0:38:43.040
<v Speaker 2>of course, co founder and CEO Clear Harbor Asset Management.

0:38:43.080 --> 0:38:46.040
<v Speaker 2>They've got about a billion in assets under management. Joining

0:38:46.120 --> 0:38:49.040
<v Speaker 2>us once again on Zoom from Stanford, Connecticut. Hey, Aaron,

0:38:49.120 --> 0:38:51.759
<v Speaker 2>good to have you back with us. It is an

0:38:51.760 --> 0:38:54.840
<v Speaker 2>interesting market, but let's have some Tim Oways reminds me

0:38:55.239 --> 0:38:57.480
<v Speaker 2>got to take a longer view step at a little

0:38:57.480 --> 0:38:59.840
<v Speaker 2>bit in the perspective. We've had quite a run, certainly

0:39:00.200 --> 0:39:01.959
<v Speaker 2>when it comes to some of those big tech names

0:39:01.960 --> 0:39:03.040
<v Speaker 2>and the Nasdaq overall and.

0:39:02.960 --> 0:39:03.719
<v Speaker 3>Also the S and P.

0:39:04.040 --> 0:39:07.640
<v Speaker 2>So a little bit of churn maybe is to be expected.

0:39:08.960 --> 0:39:12.160
<v Speaker 8>Absolutely, Yeah, thanks for having me back, Tim Carroll. We've

0:39:12.160 --> 0:39:14.880
<v Speaker 8>gone a long way a year to date, and what

0:39:15.320 --> 0:39:18.279
<v Speaker 8>a change from twenty twenty two, for sure. But you know,

0:39:18.280 --> 0:39:20.000
<v Speaker 8>if you look at just this earning season that we're

0:39:20.040 --> 0:39:21.920
<v Speaker 8>still sort of wading through, but we're more on the

0:39:21.960 --> 0:39:25.240
<v Speaker 8>tail end of it, you know. I think the reality

0:39:25.320 --> 0:39:27.880
<v Speaker 8>is that we've many companies, or the most of the

0:39:27.920 --> 0:39:32.120
<v Speaker 8>companies have beaten expectations, but when you look at year

0:39:32.160 --> 0:39:36.520
<v Speaker 8>over year earnings growth, not much has changed, and so

0:39:37.080 --> 0:39:41.520
<v Speaker 8>those expectations have have been exceeded, which is something that

0:39:41.560 --> 0:39:45.080
<v Speaker 8>we all all welcome. But markets haven't reacted, you know,

0:39:45.160 --> 0:39:48.440
<v Speaker 8>dramatically as a whole to the earning cycle. And I think,

0:39:48.760 --> 0:39:52.000
<v Speaker 8>you know, the market's trying to figure out whether or

0:39:52.080 --> 0:39:54.600
<v Speaker 8>not a pe multiple for the S and P five

0:39:54.680 --> 0:39:59.480
<v Speaker 8>hundred at twenty times anticipated twenty twenty three full year

0:39:59.520 --> 0:40:03.400
<v Speaker 8>earnings is the right multiple given the current environment.

0:40:03.520 --> 0:40:04.720
<v Speaker 4>Do you think it's the right multiple?

0:40:05.960 --> 0:40:08.200
<v Speaker 8>Well, you know, it's interesting. I think the bond market

0:40:08.280 --> 0:40:10.920
<v Speaker 8>is signaling two different responses to that, and I always

0:40:10.920 --> 0:40:13.120
<v Speaker 8>sort of, you know, peer into the bond market to

0:40:13.160 --> 0:40:14.520
<v Speaker 8>try to help me answer that question.

0:40:14.600 --> 0:40:15.000
<v Speaker 11>Tim.

0:40:15.400 --> 0:40:18.080
<v Speaker 8>The inversion of the yield curve suggests that a recession

0:40:18.200 --> 0:40:21.520
<v Speaker 8>is in fact around the corner, whether it's the back

0:40:21.600 --> 0:40:23.920
<v Speaker 8>half of this year or perhaps the front half of

0:40:24.000 --> 0:40:28.000
<v Speaker 8>next year. But nominal rates are actually higher on a

0:40:28.080 --> 0:40:31.400
<v Speaker 8>year to date basis, which is sort of a little

0:40:31.400 --> 0:40:33.560
<v Speaker 8>bit of a conundrum for those who are trying to

0:40:33.600 --> 0:40:36.080
<v Speaker 8>extract tea leaves from what the bond market is telling

0:40:36.200 --> 0:40:38.839
<v Speaker 8>us right now, we think, you know, when you look

0:40:38.880 --> 0:40:42.720
<v Speaker 8>at the trajectory of inflation. We saw CPI this morning,

0:40:43.120 --> 0:40:44.879
<v Speaker 8>and you know, a year and one month ago we're

0:40:44.880 --> 0:40:47.160
<v Speaker 8>at nine percent headline and now we're at three point

0:40:47.160 --> 0:40:49.640
<v Speaker 8>two percent. So we've come a long way. And the

0:40:49.680 --> 0:40:52.759
<v Speaker 8>FED if you look at FED fund's futures, looks like

0:40:52.840 --> 0:40:55.279
<v Speaker 8>it's it's on hold. I think there's only like a

0:40:55.280 --> 0:40:58.440
<v Speaker 8>ten percent chance of a move in September, and so

0:40:58.760 --> 0:41:01.319
<v Speaker 8>you know, it's just sort of interesting thing, particularly with

0:41:01.719 --> 0:41:05.160
<v Speaker 8>the significant i think the most significant short interest in

0:41:05.200 --> 0:41:09.160
<v Speaker 8>the treasury market that we've seen in my lifetime. Where

0:41:09.160 --> 0:41:11.080
<v Speaker 8>we are right now, where the bond markets sort of

0:41:11.120 --> 0:41:14.320
<v Speaker 8>signaling that maybe we're not all clear on inflation, maybe

0:41:14.320 --> 0:41:18.320
<v Speaker 8>growth remains stronger than expected, and the equity market is

0:41:19.680 --> 0:41:21.720
<v Speaker 8>a little more a sanguine on that point.

0:41:22.280 --> 0:41:27.439
<v Speaker 2>So PE multiple how reliable? How much do you use

0:41:27.480 --> 0:41:30.560
<v Speaker 2>it as kind of an indicator, a reliable indicator of

0:41:30.560 --> 0:41:31.520
<v Speaker 2>where we go from here?

0:41:33.120 --> 0:41:36.960
<v Speaker 8>It's not a first of all, you have to look

0:41:37.000 --> 0:41:40.560
<v Speaker 8>at which components of the equity market we're looking at

0:41:40.560 --> 0:41:43.880
<v Speaker 8>when we talk about PE multiples, because it's where we

0:41:44.000 --> 0:41:47.040
<v Speaker 8>come from in Pes where we may be going what's

0:41:47.040 --> 0:41:51.359
<v Speaker 8>the historical basis for pees if you think we're going

0:41:51.400 --> 0:41:53.719
<v Speaker 8>into a deep recession, pe multiples for the S and

0:41:53.719 --> 0:41:56.760
<v Speaker 8>P five hundred ten to bottom at fourteen times fifteen times,

0:41:56.800 --> 0:41:59.760
<v Speaker 8>So you know, that's an anchoring point if you believe

0:41:59.760 --> 0:42:03.400
<v Speaker 8>in our landing markets, certainly not pricing that in. You

0:42:03.440 --> 0:42:06.080
<v Speaker 8>also have to think about P multiples within sectors. You know,

0:42:06.120 --> 0:42:09.240
<v Speaker 8>you look at Europe, you look at you know, heavily

0:42:09.320 --> 0:42:13.400
<v Speaker 8>industrial banking focused part of the equity market. Well, naturally

0:42:13.440 --> 0:42:15.920
<v Speaker 8>P multiples because it's a lower growth segment of the

0:42:16.320 --> 0:42:19.400
<v Speaker 8>market and the economy are going to be lower. So

0:42:19.440 --> 0:42:22.080
<v Speaker 8>it's not healthy for one to sort of look through

0:42:22.280 --> 0:42:25.040
<v Speaker 8>the S and P at twenty times in compared to

0:42:25.080 --> 0:42:28.160
<v Speaker 8>the European market that has far less technology and therefore

0:42:28.200 --> 0:42:29.040
<v Speaker 8>growth exposure.

0:42:29.880 --> 0:42:32.440
<v Speaker 4>Okay, so I ask you this question all the time. Eron,

0:42:32.840 --> 0:42:34.520
<v Speaker 4>someone comes to you with money, how do you deploy

0:42:34.560 --> 0:42:35.000
<v Speaker 4>it right now?

0:42:36.560 --> 0:42:41.000
<v Speaker 8>Well, you know, oftentimes people come to us with capital

0:42:41.040 --> 0:42:44.640
<v Speaker 8>that's invested. You know, we're very cognizant of tax implications.

0:42:45.080 --> 0:42:48.239
<v Speaker 8>I would just say this, based on where we think

0:42:48.320 --> 0:42:53.720
<v Speaker 8>inflation is moving, we are incrementally more bullish on taking

0:42:53.800 --> 0:42:56.320
<v Speaker 8>a bit more duration risk in fixed income here, in

0:42:56.360 --> 0:43:00.000
<v Speaker 8>other words, extending out into fixed income, owning high grade

0:43:00.080 --> 0:43:03.879
<v Speaker 8>fixed income that means to US treasuries, mortgage backed securities,

0:43:04.320 --> 0:43:07.960
<v Speaker 8>and maybe even some investment great credit exposure. On the

0:43:08.000 --> 0:43:10.880
<v Speaker 8>equity side, we still believe in diversification. We think there

0:43:10.880 --> 0:43:14.440
<v Speaker 8>are opportunities across multiple sectors. We're just not given the

0:43:14.440 --> 0:43:18.000
<v Speaker 8>current valuation in the market, we're not poised to sort

0:43:18.000 --> 0:43:21.799
<v Speaker 8>of increase our targets here. But we do believe in

0:43:21.840 --> 0:43:25.920
<v Speaker 8>equities for the long haul, and that's a philosophy that

0:43:25.960 --> 0:43:27.560
<v Speaker 8>we've always embraced here at Clear Harbor.

0:43:27.680 --> 0:43:32.239
<v Speaker 2>Hey, on the treasuries are the fixed income side, what

0:43:32.400 --> 0:43:34.279
<v Speaker 2>kind of duration you said you're willing to go out

0:43:34.280 --> 0:43:34.719
<v Speaker 2>a little bit?

0:43:34.719 --> 0:43:35.399
<v Speaker 3>How far out?

0:43:35.719 --> 0:43:38.800
<v Speaker 8>Yeah, Well, if you look at the Bloomberg Gaggregate bond Index,

0:43:38.840 --> 0:43:41.280
<v Speaker 8>which is the primary benchmark of the fixed income market,

0:43:41.400 --> 0:43:43.880
<v Speaker 8>it has an average weighted maturity of about eight and

0:43:43.920 --> 0:43:46.160
<v Speaker 8>a half years, maybe a little more than that. And

0:43:46.239 --> 0:43:49.319
<v Speaker 8>of course, you know, it seems like mister market in

0:43:49.360 --> 0:43:52.120
<v Speaker 8>fixed income is hugging the front end of the market

0:43:52.239 --> 0:43:55.200
<v Speaker 8>right now because treasury bills are well over five percent

0:43:55.719 --> 0:43:58.040
<v Speaker 8>and the yield to maturity of the Bloomberg gaggrigate is

0:43:58.080 --> 0:44:00.919
<v Speaker 8>only about four point nine percent. But if you think

0:44:00.960 --> 0:44:03.880
<v Speaker 8>the FED is sort of done or about done, we

0:44:03.920 --> 0:44:05.880
<v Speaker 8>think this is a good time to at least nudge

0:44:05.880 --> 0:44:09.319
<v Speaker 8>your average maturity and duration further out the curve. So

0:44:09.600 --> 0:44:12.360
<v Speaker 8>it depends on the client, depends on you know, what

0:44:12.440 --> 0:44:15.680
<v Speaker 8>the objectives are, but just moving it out. If your

0:44:15.800 --> 0:44:18.360
<v Speaker 8>average maturity is now one year's you know, maybe you

0:44:18.360 --> 0:44:20.759
<v Speaker 8>can move it out to two or three. If you

0:44:20.760 --> 0:44:22.600
<v Speaker 8>can move it out to eight and a half and

0:44:22.680 --> 0:44:24.279
<v Speaker 8>you're at two now, maybe you move it out to

0:44:24.320 --> 0:44:27.680
<v Speaker 8>four or five, you know. So you know, it's making

0:44:27.719 --> 0:44:30.759
<v Speaker 8>those sort of incremental shifts right now, given the sort

0:44:30.800 --> 0:44:34.360
<v Speaker 8>of risk reward that we see in the market.

0:44:34.320 --> 0:44:36.319
<v Speaker 2>Right which maybe explained to where I think was it

0:44:36.320 --> 0:44:38.839
<v Speaker 2>the thirty year today? The treasure auction didn't go as

0:44:39.200 --> 0:44:41.360
<v Speaker 2>well as I think some of the auctions earlier in

0:44:41.360 --> 0:44:44.879
<v Speaker 2>the week. Maybe some of that longer duration erin. Thank

0:44:44.920 --> 0:44:46.399
<v Speaker 2>you so much, We get a run if you well

0:44:46.520 --> 0:44:49.600
<v Speaker 2>Erin Kennon, co founder CEO at Clear Harbor Asset Management

0:44:49.600 --> 0:44:52.160
<v Speaker 2>over a billion in assets under management, joining us on

0:44:52.239 --> 0:44:54.359
<v Speaker 2>zoom from Stanford, Connecticut. What's do you look like you're

0:44:54.400 --> 0:44:55.080
<v Speaker 2>thinking about something?

0:44:55.120 --> 0:44:55.359
<v Speaker 11>Yeah?

0:44:55.440 --> 0:44:57.640
<v Speaker 4>Yeah, I was looking at the wrong column. The Nasdaq

0:44:57.800 --> 0:45:00.080
<v Speaker 4>was hired by one point six percent earlier today. I

0:45:00.080 --> 0:45:02.719
<v Speaker 4>remember was starty this morning, you know, recording our weekend show. Yeah,

0:45:03.040 --> 0:45:04.880
<v Speaker 4>I said, look at the look at the market.

0:45:05.000 --> 0:45:05.520
<v Speaker 3>We popped.

0:45:05.520 --> 0:45:06.960
<v Speaker 4>We popped in an hour.

0:45:07.560 --> 0:45:09.960
<v Speaker 3>The easy inflation prend I think made everybody find.

0:45:09.760 --> 0:45:13.360
<v Speaker 4>Out then what happens higher for longer? Oh that's new news.

0:45:14.000 --> 0:45:14.560
<v Speaker 10>I told you.

0:45:14.600 --> 0:45:15.440
<v Speaker 3>Did you get the memo?

0:45:15.680 --> 0:45:16.080
<v Speaker 4>The memo?

0:45:16.440 --> 0:45:17.600
<v Speaker 3>All right, guys, stick around.

0:45:17.680 --> 0:45:20.319
<v Speaker 2>More to come certainly here on Bloomberg Business Week, Carol

0:45:20.360 --> 0:45:23.640
<v Speaker 2>Masser along with Tin Stanovik and this this Bloomberg Radio.

0:45:26.280 --> 0:45:30.920
<v Speaker 1>This is the Bloomberg Business Week podcast, available on Apple, Spotify,

0:45:31.040 --> 0:45:34.800
<v Speaker 1>and anywhere else you get your podcast. Listen live weekday

0:45:34.800 --> 0:45:38.440
<v Speaker 1>afternoons from three to six Eastern on Bloomberg dot Com,

0:45:38.480 --> 0:45:41.800
<v Speaker 1>the iHeartRadio app, tune In, and the Bloomberg Business App.

0:45:41.840 --> 0:45:44.880
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0:45:45.000 --> 0:45:47.279
<v Speaker 1>and always on the Bloomberg journyalone