WEBVTT - ‘Clerical Error’ in Lyft Outlook Triggered 67% Jump

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg business

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<v Speaker 1>Week inside from the reporters and editors who bring you

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<v Speaker 1>America's most trusted business magazine, plus global business, finance and

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<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

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<v Speaker 1>and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>I s what we'd like to call kind of a

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<v Speaker 2>well moment happened first in the aftermarket last night.

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<v Speaker 3>Still going on, Tim safe to say today's straight.

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<v Speaker 4>Yeah, we're talking about Lyft, the stock Johns Carroll sixty

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<v Speaker 4>seven percent and after hours trading. After saying margins initially

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<v Speaker 4>we're set to expand this year by an eyewatering five

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<v Speaker 4>hundred at basis points. Well, it turns out Lift did

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<v Speaker 4>have a strong earnings report, just not that strong when

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<v Speaker 4>it came to its forecast on margins.

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<v Speaker 5>Well, look, first of all, it's on me. There are

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<v Speaker 5>a lot of eyes on this press release. But at

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<v Speaker 5>the end of the day, my bad. But look, I

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<v Speaker 5>don't want it to take anything away from the butt

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<v Speaker 5>kicking performance that the business did thanks to all of

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<v Speaker 5>our employees and thanks to millions of drivers. I mean, look,

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<v Speaker 5>we had our financially strongest quarter we have ever had,

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<v Speaker 5>and I'm super excited about with.

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<v Speaker 2>The clerical error around the gig economy and in financial markets.

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<v Speaker 2>Let's get to Bloomberg Technology co host ed La Low

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<v Speaker 2>inner San Francisco Bureau, And first of all, props for

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<v Speaker 2>him saying it's on me, my bad, got it, Love it,

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<v Speaker 2>and far be it from us, because we all make mistakes.

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<v Speaker 4>You have never made a mistake, Carol, so you don't

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<v Speaker 4>know what I've made, many, many, many, But this is important.

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<v Speaker 2>How many eyes saw that release before it went out?

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<v Speaker 2>I mean, how the heck does this kind of happen?

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<v Speaker 2>And I don't know, how are you thinking about it?

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<v Speaker 3>You know, here we are the morning or afternoon after.

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<v Speaker 6>I mean, like I put it straight to David Richer

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<v Speaker 6>and he gave me a straight answer. And you know,

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<v Speaker 6>for our global audience, it's worth noting that David's held

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<v Speaker 6>in high regard. He's a thoroughly nice guy, and you know,

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<v Speaker 6>he fronted up and answered our questions. But it's simply

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<v Speaker 6>human error, you know. And what we went on to

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<v Speaker 6>ask him frankly, is well, what about the CFO, Aaron Brewer?

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<v Speaker 6>Is her job safe? Is the finance team's job safe?

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<v Speaker 6>Because this had a real market impact. But it's as

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<v Speaker 6>simple as the press release and the shareholder debt goes

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<v Speaker 6>out with five hundred basis points on the analysts call

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<v Speaker 6>the CFO reads are prepared and remarks and says fifty

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<v Speaker 6>basis points, and the analysts asked the question and says,

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<v Speaker 6>hold on, you said fifty, but the release said five hundred,

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<v Speaker 6>and they admitted it was a mistake.

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<v Speaker 7>And it's as simple as that.

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<v Speaker 4>Hey, you know, it's interesting. Sec chair Gary Gensler was

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<v Speaker 4>on Bloomberg TV a little earlier, ed with David West,

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<v Speaker 4>and he declined a comment on Lift's clerical error, but

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<v Speaker 4>he did say, quote, public companies are responsible for accuracy

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<v Speaker 4>of filings, so they're responsible.

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<v Speaker 7>They are.

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<v Speaker 6>And look what LIFT will be doing. What David Richard

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<v Speaker 6>told us they're doing. What they are definitely doing is

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<v Speaker 6>the finance in internal order team will have to reflect

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<v Speaker 6>on what happened.

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<v Speaker 7>You know. As part of this exercise, Bloomberg.

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<v Speaker 6>Interviewed a number of securities experts, and I think that

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<v Speaker 6>the general consensuses they moved quickly to correct their mistake. Clearly,

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<v Speaker 6>if this move had been to the downside, I think

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<v Speaker 6>we'd probably be having a bit of a more severe conversation,

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<v Speaker 6>but as it happens, this for.

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<v Speaker 7>Me is the wild part of this story.

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<v Speaker 6>Yes, the stock spike sixty seven percent in after hours,

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<v Speaker 6>but when they corrected their mistake, it held gains at

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<v Speaker 6>seventeen percent.

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<v Speaker 7>In today's session, it has traded.

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<v Speaker 6>Above thirty percent for most of the day, which puts

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<v Speaker 6>Lyft on track for its biggest jump ever. I don't

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<v Speaker 6>think the market is lingering on this clerical mistake. I

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<v Speaker 6>think they're looking at the earnings gone and the forecast

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<v Speaker 6>and saying, actually, lifted pretty well.

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<v Speaker 3>Agreed.

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<v Speaker 2>I totally agreed, because I think when I came in

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<v Speaker 2>this morning and when it started trading, I thought it's

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<v Speaker 2>going to be you know, up, maybe a little bit,

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<v Speaker 2>or maybe it'll be even down, who knows. But to

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<v Speaker 2>see it up still about the threaty one thirty two

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<v Speaker 2>percent as we are speaking, it's pretty impressive. So let's

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<v Speaker 2>talk about Lift's business living up to the expectations of

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<v Speaker 2>what investors wanted, and then some in many ways talk

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<v Speaker 2>to us about the business.

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<v Speaker 6>Yeah, I think that at a minimum that's fair. And

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<v Speaker 6>I'm so glad to be on the show with you guys,

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<v Speaker 6>because we had a great conversation earlier this week about

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<v Speaker 6>the gig economy, and what I was writing about in

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<v Speaker 6>the Tech Daily was that we were worried about Lyft

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<v Speaker 6>because it doesn't have as wide or diverse a business

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<v Speaker 6>as Uber. There's no food component, and Uber seems to

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<v Speaker 6>be doing really, really well. So you can look at

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<v Speaker 6>it one of two ways. Would Lift go through the

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<v Speaker 6>same positive experience the same trends that Uber did, or

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<v Speaker 6>is Uber going to continue taking market share from Lyft?

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<v Speaker 6>But Lift stood up on its own two feet. You know,

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<v Speaker 6>there is evidence that ridership was strong and the demand

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<v Speaker 6>based on their growth booking out Booking's outlook is good.

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<v Speaker 6>But we also talked about this idea of the take rate,

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<v Speaker 6>which is the amount of money that company makes per

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<v Speaker 6>transaction on their platform. And David Risher, since he's come in,

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<v Speaker 6>has made Lift a bit of a mean, not green

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<v Speaker 6>but pink machine, and they are starting now to get

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<v Speaker 6>positive signs around free cash flow. These are boring company things,

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<v Speaker 6>but it's important.

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<v Speaker 4>Isn't there an issue If the take rate ends up

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<v Speaker 4>being too big, then you're not going to attract drivers

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<v Speaker 4>to the same extent that competing company would or competing service.

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<v Speaker 4>I mean these drivers are they're free agents. They can

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<v Speaker 4>go anywhere.

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<v Speaker 6>Yeah, And earlier in the week I said to you guys,

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<v Speaker 6>let's look at the driver supply numbers. So for Uber

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<v Speaker 6>that was up thirty five percent, not to the same

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<v Speaker 6>extent for Lift. But they're seeing drivers flying increase. Where

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<v Speaker 6>are those drivers coming from? Well, there is some evidence

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<v Speaker 6>actually based on a conversation I had with David, that

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<v Speaker 6>they might be people that lost their job but found

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<v Speaker 6>work in the gig economy quickly. But you're on the

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<v Speaker 6>take rate. A part of it as well is also

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<v Speaker 6>the removal of the heavy incentives that Lift had. You know,

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<v Speaker 6>Lift was only able to be competitive with Uber by

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<v Speaker 6>basically saying, we'll cut prices, we'll offer promos, we'll give

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<v Speaker 6>you a gift voucher, we'll give you a credit if

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<v Speaker 6>you use a particular airline. When you scale back on

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<v Speaker 6>those things, you get a better sense of how you

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<v Speaker 6>can make money in that marketplace. And I think Lift

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<v Speaker 6>shows some evidence of that.

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<v Speaker 2>I feel like too, and I want to kind of

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<v Speaker 2>maybe roll Uber into this. And there's some more specific

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<v Speaker 2>stuff that we want to talk about with Uber their

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<v Speaker 2>stock buyback, But it feels like Lift Uber kind of

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<v Speaker 2>growing up, like coming off the pandemic, right, and how

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<v Speaker 2>that impacted them.

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<v Speaker 3>But is that the case, like walk us through in terms.

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<v Speaker 2>Of I like what you said about what's going on

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<v Speaker 2>at Lift that the CEO leaner, meaner machine.

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<v Speaker 3>Here does sound like to some extent they're growing up

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<v Speaker 3>a little bit.

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<v Speaker 6>Yeah, I mean I was a bit unkind about Lift

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<v Speaker 6>saying earlier in the week and today they don't have

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<v Speaker 6>a very diverse business. They do offer other mobility things,

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<v Speaker 6>and Tim made the point on bikes, right, and David

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<v Speaker 6>Risher himself used a Lift bike to get to the

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<v Speaker 6>bureau today for that interview, and they're proving that that

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<v Speaker 6>is working. But the definitive story right now, and maybe

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<v Speaker 6>one reason why the stock is up so much is

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<v Speaker 6>that there is evidence that ride hailing or ride sharing

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<v Speaker 6>is not just a fad, it is a stable market

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<v Speaker 6>in the wake of the pandemic, and Uber spoke to

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<v Speaker 6>the corporate side of that story. Lift is basically resonating

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<v Speaker 6>with a particular age group demographic cities like San Francisco.

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<v Speaker 4>But ed you bring up a really good point that

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<v Speaker 4>we talked a lot about before the pandemic. I remember

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<v Speaker 4>speaking to people twenty eighteen twenty nineteen, as these companies

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<v Speaker 4>were hitting the public markets for the first time, and

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<v Speaker 4>they would say things like people who are millennials and

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<v Speaker 4>Gen Z, they're not going to own cars because they're

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<v Speaker 4>going to be able to get cars anywhere on demand.

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<v Speaker 4>The pandemic shifted that. Are we back to that conversation

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<v Speaker 4>where you know there is this trend of people foregoing

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<v Speaker 4>car ownership and just relying on these services or is

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<v Speaker 4>that not going to happen?

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<v Speaker 6>I think your right to recall those trends from twenty

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<v Speaker 6>eighteen nineteen. I can't even remember what I talked about yesterday.

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<v Speaker 3>He's got a great memory.

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<v Speaker 6>But what you're doing is tying together the whole point

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<v Speaker 6>of this week, which is why is the gig economy

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<v Speaker 6>doing this in a high rate environment. Yes, you're right,

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<v Speaker 6>car sales are under pressure, particularly electric vehicles, because the

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<v Speaker 6>high rate environment makes the financing of those purchases less

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<v Speaker 6>than attractive. Your car payment, not just the buying of

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<v Speaker 6>the car or the leasing, but the running of it

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<v Speaker 6>is the most significant outgoing you have after your mortgage,

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<v Speaker 6>if you have a mortgage or rent. And I do

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<v Speaker 6>think that that's a really good point, and you have

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<v Speaker 6>to take the idea that consumers appear to be willing

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<v Speaker 6>to spend on convenience with other data sets credit card

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<v Speaker 6>data right now is a little bit worrying, you know.

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<v Speaker 6>I think we see that trickling up. So while the

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<v Speaker 6>consumer's strong, let's continue to watch this ridership and willing

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<v Speaker 6>to spend on convenience. And I think we talked about

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<v Speaker 6>earlier this week. Right, well, what if we do have

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<v Speaker 6>a recesson what if Lift and Uber benefit? Right you

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<v Speaker 6>stop spending on big ticket items like vacations and dinners

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<v Speaker 6>out at restaurants. You start getting takeout and delivery, which

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<v Speaker 6>Lift does not have. But you might take a ride

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<v Speaker 6>in a lift rather than I don't know, I don't

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<v Speaker 6>know what the alternative would be, but it's a good

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<v Speaker 6>existential question for them, along with well why doesn't somebody

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<v Speaker 6>that's bigger than them that does other stuff by them?

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<v Speaker 6>And we also got to that in the interview too.

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<v Speaker 2>Yeah, hey listen quick, Uber up about twelve percent here,

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<v Speaker 2>just off its highs at a record first share buy back. Ever,

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<v Speaker 2>it's a big one seven billion dollars share. But what's

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<v Speaker 2>going on here? I mean interesting?

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<v Speaker 6>I certainly got get Bi's man deep sing on the show.

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<v Speaker 6>He's always felt that these gig economy apps are undervalued.

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<v Speaker 6>You know, Uber had its first year of profit. It

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<v Speaker 6>has proved the doubt is wrong on the business model.

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<v Speaker 6>It's free cash flow is improved. What do investors love?

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<v Speaker 6>They love sweeteners, and this is one hell of a

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<v Speaker 6>sweetener to start twenty twenty four.

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<v Speaker 2>Yeah, pretty impressive and like we said, definitely getting noticed

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<v Speaker 2>among investors.

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<v Speaker 4>Part of the S and P five hundred now two.

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<v Speaker 4>Can't forget that it was added just a few.

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<v Speaker 3>Months ago at a record as well.

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<v Speaker 2>Hey listen, Ed, thank you as always, great interview and

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<v Speaker 2>great to be able to talk with you about it.

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<v Speaker 2>Ed Ludlow, he's co host at Bloomberg Technology and Bloomberg Television.

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<v Speaker 2>Catch him and Caroline Hyde at eleven am Wall Street

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<v Speaker 2>Time on Bloomberg TV. For Bloomberg Technology. He of course

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<v Speaker 2>joined us from our San Francisco bureau.

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<v Speaker 4>You know, it's refreshing to see executives make mistakes and

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<v Speaker 4>like this.

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<v Speaker 3>You know, well, you know, stuff happens. What are you

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<v Speaker 3>going to say? Like, what would do?

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<v Speaker 8>Right?

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<v Speaker 2>I agree with you, Like, yep, we messed up. We

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<v Speaker 2>corrected as soon as we noticed it.

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<v Speaker 4>Maybe we stopped saying basis points for certain percentages and

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<v Speaker 4>just you know, stick the percentage of zero.

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<v Speaker 9>Yeah, that would have I don't know, maybe, I don't know.

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<v Speaker 9>I'm not to see it.

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<v Speaker 2>All I know is when that came down last night,

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<v Speaker 2>we saw this a stock reaction understandably, so we're just like, WHOA,

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<v Speaker 2>what's going on?

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<v Speaker 9>My jaw is still dropped for thirty percent increase.

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<v Speaker 3>Today, it's still pretty impressive.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:10:57.160 --> 0:11:00.400
<v Speaker 1>Live weekday afternoons from two to five pm Eastern. Listen

0:11:00.440 --> 0:11:02.599
<v Speaker 1>on Apple card Play and then Bright Auto with a

0:11:02.640 --> 0:11:05.679
<v Speaker 1>Bloomberg Business act or wan't just live on YouTube?

0:11:07.040 --> 0:11:07.760
<v Speaker 7>What people have.

0:11:07.760 --> 0:11:10.360
<v Speaker 3>Talked about kind of years of regret over bad calls

0:11:10.400 --> 0:11:10.719
<v Speaker 3>when it.

0:11:10.640 --> 0:11:14.600
<v Speaker 2>Comes to forecasting about the US economy, recession calls, inflation calls,

0:11:14.640 --> 0:11:15.720
<v Speaker 2>transitory anyone.

0:11:15.760 --> 0:11:16.800
<v Speaker 3>By the way, it's not been.

0:11:16.679 --> 0:11:19.960
<v Speaker 2>Easy even for Fedchair J Powell. Remember back in November

0:11:20.000 --> 0:11:23.240
<v Speaker 2>twenty twenty one when Chair Powell addressed the Senate Banking

0:11:23.280 --> 0:11:26.240
<v Speaker 2>Committee about that testy word transitory.

0:11:27.360 --> 0:11:30.640
<v Speaker 10>I think clearly has been met now, you know, you're

0:11:30.720 --> 0:11:34.240
<v Speaker 10>absolutely right, inflation has run well above two percent for

0:11:34.320 --> 0:11:37.560
<v Speaker 10>long enough. The word transitory has different meanings to different people.

0:11:37.920 --> 0:11:40.120
<v Speaker 10>I think it's it's probably a good time to retire

0:11:40.160 --> 0:11:43.079
<v Speaker 10>that word and try to explain more clearly what we mean.

0:11:43.360 --> 0:11:44.839
<v Speaker 3>All Right, it's not easy being the FED chair.

0:11:44.920 --> 0:11:45.120
<v Speaker 7>Really.

0:11:45.120 --> 0:11:47.160
<v Speaker 2>Many the end of zero rates ushering in a new

0:11:47.200 --> 0:11:51.160
<v Speaker 2>era of investment era in particular in Bloomberg Markets, it's

0:11:51.200 --> 0:11:53.280
<v Speaker 2>the mistakes issue. How many missed the market over the

0:11:53.320 --> 0:11:55.079
<v Speaker 2>past two years. I love that you guys are doing

0:11:55.520 --> 0:11:57.800
<v Speaker 2>a mistakes issue with us as the editor of Bloomberg

0:11:57.800 --> 0:12:00.400
<v Speaker 2>Markets magazine, Pat Regne or here in our Bloomberg Directive

0:12:00.400 --> 0:12:03.959
<v Speaker 2>broker studio. A lot of people missed. This was an

0:12:04.000 --> 0:12:07.199
<v Speaker 2>air unlike and most had never seen before.

0:12:07.640 --> 0:12:10.560
<v Speaker 11>Yeah, we we spent a whole issue looking at mistakes,

0:12:10.600 --> 0:12:12.120
<v Speaker 11>but one of the things we wanted to focus on

0:12:12.280 --> 0:12:15.880
<v Speaker 11>was sort of what happened in this time period after

0:12:15.920 --> 0:12:21.520
<v Speaker 11>the liftoff from rates, which seems to have scrambled everybody's compass.

0:12:22.480 --> 0:12:24.760
<v Speaker 11>And it's not just a matter of you know, I

0:12:24.800 --> 0:12:27.400
<v Speaker 11>think at first people weren't sure how bearished to be,

0:12:27.440 --> 0:12:29.680
<v Speaker 11>and then maybe they were wrong about how bullish to be.

0:12:29.720 --> 0:12:32.360
<v Speaker 11>And we've just sort of, uh watched like all of

0:12:32.400 --> 0:12:37.400
<v Speaker 11>these different switchbacks, both for forecasters, economists, traders, I mean

0:12:37.440 --> 0:12:38.800
<v Speaker 11>just kind of you know, how do you get a

0:12:38.800 --> 0:12:42.840
<v Speaker 11>handle on big tech stocks, for example. So we just

0:12:42.880 --> 0:12:44.600
<v Speaker 11>went back and had to look at this and part

0:12:44.640 --> 0:12:47.080
<v Speaker 11>part of the logic of the story, but also the

0:12:47.120 --> 0:12:49.960
<v Speaker 11>whole issue was not to kind of point and laugh,

0:12:50.000 --> 0:12:51.360
<v Speaker 11>although that can be fun.

0:12:51.800 --> 0:12:54.360
<v Speaker 9>Uh I think I think.

0:12:54.200 --> 0:12:58.680
<v Speaker 4>There's a German word for you'd.

0:12:57.040 --> 0:12:58.720
<v Speaker 3>Also be pointing. Get a lot of people.

0:12:58.600 --> 0:13:02.160
<v Speaker 11>Absolutely, you know, it's it's really we have the instinct

0:13:02.200 --> 0:13:06.360
<v Speaker 11>that if you're a trader, if you're in finance, if

0:13:06.360 --> 0:13:08.040
<v Speaker 11>you're in market's, mistakes.

0:13:08.000 --> 0:13:10.199
<v Speaker 7>Are a part of your work.

0:13:10.679 --> 0:13:14.280
<v Speaker 11>And everyone I've ever met who's good at it learns

0:13:14.280 --> 0:13:16.199
<v Speaker 11>from it and they'll talk as much about their mistakes.

0:13:16.200 --> 0:13:18.640
<v Speaker 4>So that's okay. So that's a really good point, and

0:13:18.679 --> 0:13:20.719
<v Speaker 4>that's a big takeaway. Another big takeaway that I had

0:13:20.760 --> 0:13:24.120
<v Speaker 4>after reading this was that there is so much we

0:13:24.400 --> 0:13:27.360
<v Speaker 4>just don't know, and as Carol mentioned, that's what makes

0:13:27.360 --> 0:13:29.760
<v Speaker 4>a market. And we have people come on the program

0:13:29.800 --> 0:13:32.400
<v Speaker 4>every day who talk with conviction that, Okay, this is

0:13:32.440 --> 0:13:34.040
<v Speaker 4>what the Fed's gonna do, this is what rates are

0:13:34.040 --> 0:13:35.599
<v Speaker 4>going to do, this is what inflation is going to do,

0:13:35.640 --> 0:13:37.040
<v Speaker 4>this is what the stock market is going to do

0:13:37.520 --> 0:13:37.960
<v Speaker 4>and they.

0:13:37.960 --> 0:13:39.200
<v Speaker 9>Really seem to believe it.

0:13:39.200 --> 0:13:41.959
<v Speaker 3>It's like they know it got it wrong. I'm like,

0:13:42.040 --> 0:13:43.640
<v Speaker 3>you know what, this is what happens, right like.

0:13:44.160 --> 0:13:46.160
<v Speaker 4>And it's okay, you're saying that's that's the way, that's

0:13:46.200 --> 0:13:47.080
<v Speaker 4>the way this works.

0:13:47.280 --> 0:13:47.480
<v Speaker 8>Yeah.

0:13:47.559 --> 0:13:52.520
<v Speaker 11>You know. The great economist Kenneth Arrow told the story

0:13:52.520 --> 0:13:55.800
<v Speaker 11>and his memoirs about doing weather reports for the army

0:13:56.440 --> 0:14:00.200
<v Speaker 11>and the general wanted to know what's the weather going

0:14:00.280 --> 0:14:03.640
<v Speaker 11>to be like two weeks before the invasion and the

0:14:03.679 --> 0:14:06.840
<v Speaker 11>answer was, we cannot make a forecast two weeks before

0:14:06.880 --> 0:14:09.320
<v Speaker 11>the invasion. And the general said said to him, we

0:14:09.480 --> 0:14:12.880
<v Speaker 11>understand that, but we need it for planning purposes. And

0:14:13.600 --> 0:14:16.080
<v Speaker 11>I love that story because we all need forecasts and

0:14:16.160 --> 0:14:18.520
<v Speaker 11>we all need to have a theory for planning purposes.

0:14:18.520 --> 0:14:19.960
<v Speaker 11>We can't get out of that in the morning if

0:14:19.960 --> 0:14:22.080
<v Speaker 11>we if we don't have if we don't have a forecast.

0:14:22.320 --> 0:14:24.240
<v Speaker 2>I thought that was really interesting, right because we talk

0:14:24.280 --> 0:14:27.120
<v Speaker 2>about forecasts all the time, whether it's whether it's earnings,

0:14:27.120 --> 0:14:30.400
<v Speaker 2>whether it's economic forecast. This idea of like there needs

0:14:30.560 --> 0:14:32.720
<v Speaker 2>you need this to kind of figure out a narrative,

0:14:32.760 --> 0:14:37.040
<v Speaker 2>because within that narrative, there's probably gonna be some really

0:14:37.120 --> 0:14:38.840
<v Speaker 2>truth to the way forward.

0:14:38.880 --> 0:14:43.080
<v Speaker 11>Right, Yes, and then you and or at least it's

0:14:43.080 --> 0:14:46.480
<v Speaker 11>a way of like gaming out catastrophes and kind of

0:14:46.560 --> 0:14:48.600
<v Speaker 11>you know, planning out what are what are going to

0:14:48.600 --> 0:14:51.040
<v Speaker 11>be your contingency plans and kind of trying to think

0:14:51.240 --> 0:14:54.240
<v Speaker 11>think ahead to the future. That having been said, you

0:14:54.280 --> 0:14:56.600
<v Speaker 11>can make some pretty disastrously bad traits.

0:14:57.320 --> 0:14:58.920
<v Speaker 3>That's true, That's very true.

0:14:58.960 --> 0:15:00.400
<v Speaker 9>You know what I'm just thinking care of. But how

0:15:00.400 --> 0:15:01.280
<v Speaker 9>do we open the show?

0:15:01.320 --> 0:15:03.600
<v Speaker 4>In the two o'clock hour, we talked about the error

0:15:03.920 --> 0:15:07.120
<v Speaker 4>that lifts CFO made, right. I don't know if you

0:15:07.160 --> 0:15:08.720
<v Speaker 4>saw this path. This is like a perfect day to

0:15:08.720 --> 0:15:10.400
<v Speaker 4>be talking about this issue.

0:15:10.440 --> 0:15:12.600
<v Speaker 9>And you know, this was an.

0:15:12.560 --> 0:15:15.200
<v Speaker 4>Issue where they said they made an error, you know,

0:15:15.240 --> 0:15:18.080
<v Speaker 4>five hundred basis points versus fifty basis points. They literally

0:15:18.160 --> 0:15:20.960
<v Speaker 4>left another zero on there when they made their projection,

0:15:21.000 --> 0:15:23.240
<v Speaker 4>and it caused the stock to move higher. Like these

0:15:23.280 --> 0:15:23.800
<v Speaker 4>things happen.

0:15:23.960 --> 0:15:24.360
<v Speaker 9>That's right.

0:15:24.400 --> 0:15:26.440
<v Speaker 11>And I've never cursed a deadline as much as when

0:15:26.840 --> 0:15:29.640
<v Speaker 11>right after I've closed the mistakes issue that happened. Okay,

0:15:29.680 --> 0:15:34.600
<v Speaker 11>I'm sorry the heck of a story. Seriously, Seriously, the

0:15:34.720 --> 0:15:37.280
<v Speaker 11>lesson don't talk in basis points.

0:15:37.680 --> 0:15:38.520
<v Speaker 9>That's what I said.

0:15:38.920 --> 0:15:42.240
<v Speaker 4>I said, let's go back to old fashioned percentages exactly.

0:15:42.320 --> 0:15:44.960
<v Speaker 2>Well, it's interesting and you guys kind of in doing

0:15:44.960 --> 0:15:47.680
<v Speaker 2>your coverage, you talk about the bond market, you talk

0:15:47.720 --> 0:15:50.360
<v Speaker 2>about the equity market, you talk about the magnificent stuff

0:15:50.440 --> 0:15:53.520
<v Speaker 2>like you really go through because it really, you know,

0:15:54.280 --> 0:15:56.440
<v Speaker 2>you saw it play out throughout all the different markets

0:15:56.440 --> 0:15:57.600
<v Speaker 2>and all the different asset classes.

0:15:57.720 --> 0:15:59.880
<v Speaker 11>Yeah, all kudos to our newsroom because we really worked

0:16:00.080 --> 0:16:03.960
<v Speaker 11>with a lot of the reporters across the Bloomberg newsroom

0:16:04.160 --> 0:16:06.120
<v Speaker 11>and every one of them, you know, I sent out

0:16:06.120 --> 0:16:09.520
<v Speaker 11>the memo asking for mistakes, and everybody had and every

0:16:09.560 --> 0:16:11.800
<v Speaker 11>you know, everybody had a great tale, you know, and

0:16:11.840 --> 0:16:13.640
<v Speaker 11>some of them were probably surprising to a lot of

0:16:13.680 --> 0:16:15.000
<v Speaker 11>people in the US. I mean, one of the I

0:16:15.040 --> 0:16:19.240
<v Speaker 11>think the most interesting ones is the the huge mistake

0:16:19.360 --> 0:16:24.640
<v Speaker 11>made by SBB, the Swedish housing company. We all know

0:16:24.800 --> 0:16:28.520
<v Speaker 11>about everything that's happened in China with property, but this

0:16:28.680 --> 0:16:31.720
<v Speaker 11>was this is at a smaller scale. The ways that

0:16:31.760 --> 0:16:33.720
<v Speaker 11>you can get in trouble kind of thinking that you know,

0:16:33.800 --> 0:16:35.840
<v Speaker 11>an interest rate situation is going to stay the same,

0:16:36.200 --> 0:16:38.640
<v Speaker 11>and you know, you borrow to the hilt expecting that

0:16:38.680 --> 0:16:42.040
<v Speaker 11>the financing will always be there and then suddenly it's not.

0:16:43.160 --> 0:16:45.360
<v Speaker 4>Can we at this point, though, in your opinion, say

0:16:46.120 --> 0:16:47.600
<v Speaker 4>that the FED has made a mistake.

0:16:48.640 --> 0:16:51.520
<v Speaker 11>Well, we we talk about that. It's interesting the fed's

0:16:51.640 --> 0:16:57.480
<v Speaker 11>forecasts were consistently wrong, and yet they seem to be

0:16:58.560 --> 0:17:00.680
<v Speaker 11>it's at least in contention, and that they'll stick the

0:17:00.760 --> 0:17:03.880
<v Speaker 11>landing here, you know. I you know, we'll know when

0:17:03.960 --> 0:17:08.399
<v Speaker 11>we know. But you know, we so far seem to

0:17:08.640 --> 0:17:12.720
<v Speaker 11>continue to have you know, inflation coming down, maybe not

0:17:12.760 --> 0:17:16.080
<v Speaker 11>as fast as everybody expected, and we've been able to

0:17:16.119 --> 0:17:20.840
<v Speaker 11>do it without you know, having painful unemployment like that

0:17:20.960 --> 0:17:23.240
<v Speaker 11>at the moment, that looks great. Now there's a warning

0:17:23.240 --> 0:17:25.040
<v Speaker 11>in the story, and somebody says, it always looks like

0:17:25.040 --> 0:17:26.920
<v Speaker 11>it's going to be a soft landing until it's not right.

0:17:27.080 --> 0:17:29.240
<v Speaker 2>That's right, you know what it thought also about this,

0:17:29.359 --> 0:17:31.280
<v Speaker 2>that the importance of it. And this is why I

0:17:31.320 --> 0:17:34.680
<v Speaker 2>love talking with people who have reported on or been

0:17:34.720 --> 0:17:36.880
<v Speaker 2>investing in a lot of different market cycles. You learn

0:17:36.960 --> 0:17:39.600
<v Speaker 2>each time we go through some crisis or some some

0:17:39.720 --> 0:17:43.440
<v Speaker 2>anomaly or seemingly anomaly, about when we get to another point,

0:17:43.440 --> 0:17:45.879
<v Speaker 2>you're like, well, remember that time, like we were fooled,

0:17:45.880 --> 0:17:47.600
<v Speaker 2>Like I feel like this is so helpful.

0:17:47.640 --> 0:17:48.760
<v Speaker 3>We do learn from all of this.

0:17:49.119 --> 0:17:51.920
<v Speaker 11>Yeah, yeah, it was.

0:17:51.760 --> 0:17:52.000
<v Speaker 7>It was.

0:17:52.040 --> 0:17:53.600
<v Speaker 11>It was fun to do it and to review all

0:17:53.640 --> 0:17:57.600
<v Speaker 11>of these, all of these there's that professionals make all

0:17:57.640 --> 0:18:01.919
<v Speaker 11>the time, and every journalist in the newsroom can has

0:18:01.960 --> 0:18:03.520
<v Speaker 11>their own stories. I can sympathize.

0:18:03.520 --> 0:18:05.720
<v Speaker 4>I already said this is hard for Caroll relate to

0:18:05.760 --> 0:18:08.199
<v Speaker 4>because she's never made a mistake, so I don't know.

0:18:08.359 --> 0:18:10.359
<v Speaker 4>So congratulations for all the time.

0:18:10.560 --> 0:18:14.800
<v Speaker 8>Yeah, no, Crypto, though you left that to another that

0:18:14.880 --> 0:18:17.240
<v Speaker 8>had to be a whole story all on its own,

0:18:17.280 --> 0:18:19.040
<v Speaker 8>and that's actually a fun one because it's like, what,

0:18:20.720 --> 0:18:23.240
<v Speaker 8>you know, what is it still a mistake at fifty thousand.

0:18:26.680 --> 0:18:28.800
<v Speaker 2>Really thoughtful peace as we try to make sense of

0:18:28.800 --> 0:18:30.440
<v Speaker 2>the environment and where we continue to see a fair

0:18:30.480 --> 0:18:32.280
<v Speaker 2>amount of volatility in the narrative.

0:18:32.480 --> 0:18:34.520
<v Speaker 3>Powry me Or, editor of Bloomberg Markets Magazine.

0:18:34.600 --> 0:18:35.080
<v Speaker 7>Check it out.

0:18:37.520 --> 0:18:41.399
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Listen live

0:18:41.480 --> 0:18:44.400
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0:18:44.400 --> 0:18:47.359
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0:18:47.400 --> 0:18:50.680
<v Speaker 1>can also listen live on Amazon Alexa from our flagship

0:18:50.720 --> 0:18:54.520
<v Speaker 1>New York station, just Say Alexa playing Bloomberg eleven thirty.

0:18:56.880 --> 0:19:01.040
<v Speaker 4>What do Shanghai day on Precision automobile component company, Suju

0:19:01.119 --> 0:19:05.960
<v Speaker 4>Dongshan Precision Manufacturing, and Xing chang Yinglan Many machinery company

0:19:06.040 --> 0:19:06.760
<v Speaker 4>all have in common?

0:19:06.880 --> 0:19:08.399
<v Speaker 3>Well, I cheated because I read the story.

0:19:08.520 --> 0:19:10.440
<v Speaker 9>Oh okay, but quiz doesn't work.

0:19:10.440 --> 0:19:13.639
<v Speaker 3>Then all are kind of finding a home base in

0:19:13.680 --> 0:19:14.399
<v Speaker 3>the same area.

0:19:14.560 --> 0:19:15.320
<v Speaker 9>Okay, you're right.

0:19:15.520 --> 0:19:19.400
<v Speaker 4>These are all Chinese automobile component companies that have recently

0:19:19.440 --> 0:19:22.240
<v Speaker 4>set up shop on the outskirts of Monterey, Mexico.

0:19:23.000 --> 0:19:23.720
<v Speaker 9>So you're spot on.

0:19:23.920 --> 0:19:24.160
<v Speaker 3>Yeah.

0:19:24.160 --> 0:19:27.560
<v Speaker 2>In fact, Chinese autoparts makers are rapidly setting up plants

0:19:27.560 --> 0:19:29.359
<v Speaker 2>in the region, which is only about one hundred and

0:19:29.359 --> 0:19:31.800
<v Speaker 2>fifty miles from the US border. The value of Chinese

0:19:32.080 --> 0:19:35.760
<v Speaker 2>autoparts made in Mexico specifically and exported to the US

0:19:35.840 --> 0:19:38.920
<v Speaker 2>reached one point one billion last year. That's up fifteen

0:19:38.920 --> 0:19:43.200
<v Speaker 2>percent over the previous year, according to previously unreported preliminary

0:19:43.320 --> 0:19:47.679
<v Speaker 2>data out froma that's Mexico's National Autoparts Industry Association. So

0:19:47.680 --> 0:19:50.320
<v Speaker 2>we're getting some numbers on exactly what's happening.

0:19:50.480 --> 0:19:53.120
<v Speaker 4>Amy Stillman writes all about it. She's Bloomberg News Mexico

0:19:53.320 --> 0:19:56.359
<v Speaker 4>Business reporter, she joins us from Mexico City. Amy, great story.

0:19:56.400 --> 0:19:58.960
<v Speaker 4>It's so funny. Carol and I were literally just talking

0:19:58.960 --> 0:20:01.520
<v Speaker 4>about this yesterday, this exact thing. We spoke to some

0:20:01.520 --> 0:20:04.560
<v Speaker 4>folks who had been in the Monterey area and were

0:20:04.600 --> 0:20:07.160
<v Speaker 4>just shocked at what they saw in terms of auto

0:20:07.200 --> 0:20:09.440
<v Speaker 4>parts manufacturers. So you're reading minds here.

0:20:09.440 --> 0:20:10.040
<v Speaker 9>This is great.

0:20:10.640 --> 0:20:12.919
<v Speaker 4>One thing we didn't talk about with them, though, is

0:20:12.960 --> 0:20:15.400
<v Speaker 4>why the search has set off alarm bells in Washington.

0:20:15.480 --> 0:20:16.760
<v Speaker 9>So give us the details there.

0:20:18.040 --> 0:20:22.000
<v Speaker 12>Sure, thank you, Tim, and I appreciate the effort with

0:20:22.080 --> 0:20:27.080
<v Speaker 12>the names. A very good job on the association. So yeah,

0:20:27.160 --> 0:20:30.919
<v Speaker 12>certainly we're seeing a pretty big surge of investment of

0:20:31.000 --> 0:20:35.479
<v Speaker 12>Chinese auto park companies into Mexico. This is a trend

0:20:35.520 --> 0:20:41.879
<v Speaker 12>that really began around the time of Trump's protectionist teriffs,

0:20:42.359 --> 0:20:46.760
<v Speaker 12>which essentially were designed to keep the Chinese out. We

0:20:46.840 --> 0:20:50.879
<v Speaker 12>started seeing in around twenty twenty one companies starting to

0:20:50.920 --> 0:20:53.480
<v Speaker 12>set up in a bigger way in Mexico in order

0:20:53.520 --> 0:20:58.280
<v Speaker 12>to avoid that twenty five percent tariff. Now, since then,

0:20:58.400 --> 0:21:02.400
<v Speaker 12>we've seen other measures by the US. One for instance,

0:21:02.600 --> 0:21:07.080
<v Speaker 12>is under the Inflation Reduction Act, there are some new

0:21:07.119 --> 0:21:12.200
<v Speaker 12>measures against foreign entities of concern, which also includes uh,

0:21:12.480 --> 0:21:16.800
<v Speaker 12>you know, companies that have China China origin and ownership.

0:21:16.960 --> 0:21:20.840
<v Speaker 12>And so the reason for this is because you know,

0:21:20.960 --> 0:21:24.479
<v Speaker 12>as as a essentially trade war keeps up between the

0:21:24.600 --> 0:21:27.320
<v Speaker 12>US and China, there is a lot of concern over

0:21:27.359 --> 0:21:30.480
<v Speaker 12>the fact that China is sort of winning the race

0:21:30.520 --> 0:21:34.320
<v Speaker 12>on electric vehicles, that they have a very efficient, very

0:21:35.160 --> 0:21:38.159
<v Speaker 12>very large supply chain, and that it will be very

0:21:38.200 --> 0:21:42.960
<v Speaker 12>difficult for US companies to compete. There are some security

0:21:43.000 --> 0:21:49.399
<v Speaker 12>concerns that should vehicles Chinese vehicles enter the US, that

0:21:49.480 --> 0:21:53.000
<v Speaker 12>this could also present a security risk or or spying risk.

0:21:53.320 --> 0:21:56.400
<v Speaker 12>And so really this has been very much a sort

0:21:56.400 --> 0:21:59.440
<v Speaker 12>of lack of mole uh policy where the US is

0:21:59.720 --> 0:22:03.040
<v Speaker 12>trying to keep the Chinese out and the Chinese are

0:22:03.280 --> 0:22:04.960
<v Speaker 12>finding some loopholes.

0:22:05.520 --> 0:22:07.119
<v Speaker 3>So talk to us about those loopholes.

0:22:07.160 --> 0:22:09.240
<v Speaker 2>You kind of get what they're doing, right if the

0:22:09.760 --> 0:22:12.800
<v Speaker 2>if the US imposes a certain policy they're trying to

0:22:13.200 --> 0:22:16.440
<v Speaker 2>I mean, is essentially a go around. But having said that,

0:22:16.920 --> 0:22:19.640
<v Speaker 2>you know the auto supply chain, it's a global one,

0:22:19.680 --> 0:22:22.639
<v Speaker 2>and you understand that their end users need these.

0:22:22.520 --> 0:22:27.560
<v Speaker 12>Parts well exactly, So those sort of way that the

0:22:27.680 --> 0:22:30.160
<v Speaker 12>Chinese have been able to get around some of these

0:22:30.200 --> 0:22:34.120
<v Speaker 12>measures by setting up shop in Mexico. It's just quite

0:22:34.160 --> 0:22:37.240
<v Speaker 12>simply that you know, if they're producing in Mexico, they're

0:22:37.240 --> 0:22:39.720
<v Speaker 12>not producing in China, and so some of these rules

0:22:39.720 --> 0:22:42.480
<v Speaker 12>which are really based on the you know, country of origin,

0:22:43.400 --> 0:22:47.600
<v Speaker 12>won't apply, so they are considered you know, North American content.

0:22:48.560 --> 0:22:50.600
<v Speaker 12>And then I would also say at the same time,

0:22:51.400 --> 0:22:55.440
<v Speaker 12>you know that it's very difficult to implement these measures,

0:22:55.480 --> 0:22:59.760
<v Speaker 12>particularly along the supply chain, because many of these did

0:22:59.840 --> 0:23:04.639
<v Speaker 12>you US automakers rely on Chinese parts makers because the

0:23:04.720 --> 0:23:08.199
<v Speaker 12>parts are considered to be high quality and cheaper, and

0:23:08.240 --> 0:23:11.480
<v Speaker 12>it's very difficult to block them out of that supply chain.

0:23:11.680 --> 0:23:12.720
<v Speaker 3>I want to go back to though.

0:23:12.760 --> 0:23:14.159
<v Speaker 2>It is a key part of the story, and that

0:23:14.280 --> 0:23:16.919
<v Speaker 2>is certainly one of the reasons why people who are

0:23:16.920 --> 0:23:18.960
<v Speaker 2>reading on the Bloomberg are clicking on at big time,

0:23:19.400 --> 0:23:25.560
<v Speaker 2>if you will, Elon Musk's role in maybe advising urging

0:23:25.800 --> 0:23:30.000
<v Speaker 2>suggesting that some of these Chinese suppliers head to Mexico

0:23:30.119 --> 0:23:30.520
<v Speaker 2>to do this.

0:23:31.080 --> 0:23:32.679
<v Speaker 3>Talk to us about what we know on that front.

0:23:34.119 --> 0:23:38.560
<v Speaker 12>Sure well, certainly that has been part of the trend,

0:23:38.640 --> 0:23:42.640
<v Speaker 12>the catalyst. We know that Elon Musk had proposed opening

0:23:42.960 --> 0:23:47.680
<v Speaker 12>a Gigo factory in Mexico, and that you know, as

0:23:47.880 --> 0:23:51.840
<v Speaker 12>as we understand it from from our sources, you know,

0:23:51.920 --> 0:23:56.200
<v Speaker 12>these suppliers were actually asked directly by Tesla to get

0:23:56.320 --> 0:24:00.840
<v Speaker 12>established in Mexico to start supplying to Tesla. Obviously, the

0:24:01.080 --> 0:24:06.399
<v Speaker 12>Gigo factory planned in Mexico is still some time away

0:24:06.480 --> 0:24:10.879
<v Speaker 12>from from kicking off. Construction hasn't really started yet, and

0:24:10.960 --> 0:24:13.919
<v Speaker 12>so a lot of these suppliers are are you know,

0:24:14.119 --> 0:24:17.080
<v Speaker 12>moving to Mexico in this sort of you know, hope

0:24:17.080 --> 0:24:20.120
<v Speaker 12>that they're going to be supplying to Tesla's Mexico factory,

0:24:20.280 --> 0:24:23.199
<v Speaker 12>and some as well are supplying to the factory and

0:24:23.280 --> 0:24:26.960
<v Speaker 12>in Austin. So yeah, certainly Tesla has been a part

0:24:27.000 --> 0:24:29.480
<v Speaker 12>of this. We know that Tesla you know, gets a

0:24:29.560 --> 0:24:32.800
<v Speaker 12>lot of its you know, supply chain from from Chinese

0:24:32.800 --> 0:24:36.240
<v Speaker 12>suppliers in Shanghai, and so what we've really seen is

0:24:36.280 --> 0:24:39.520
<v Speaker 12>that Tesla has really tried to replicate that supply chain

0:24:39.600 --> 0:24:43.080
<v Speaker 12>in Shanghai, you know, to be able to compete more effectively.

0:24:43.440 --> 0:24:46.800
<v Speaker 4>One thing that surprises me though, is it's not necessarily

0:24:46.840 --> 0:24:52.080
<v Speaker 4>an Elon Musk's best interest to have Chinese auto manufacturers

0:24:52.160 --> 0:24:55.680
<v Speaker 4>so close to the US, like BYD for example, they're

0:24:55.680 --> 0:24:58.679
<v Speaker 4>a huge competitor to Tesla. What happens if at some

0:24:58.760 --> 0:25:01.080
<v Speaker 4>point these cars can and be sold in the US,

0:25:01.080 --> 0:25:02.520
<v Speaker 4>that would take market share from Tesla.

0:25:02.600 --> 0:25:07.000
<v Speaker 12>Now that's a great question, and certainly this is the

0:25:07.080 --> 0:25:10.800
<v Speaker 12>concern that that the auto parks companies from China. You

0:25:10.840 --> 0:25:13.160
<v Speaker 12>know that this is a stepping stone that you could

0:25:13.160 --> 0:25:16.480
<v Speaker 12>start to see, you know, these electric vehicle makers from

0:25:16.560 --> 0:25:19.960
<v Speaker 12>China bringing their cars into the US market, which, as

0:25:20.000 --> 0:25:24.680
<v Speaker 12>you point out, would create greater competition with Tesla. Now,

0:25:24.840 --> 0:25:28.560
<v Speaker 12>the aspect of this, you know that that perhaps Elon

0:25:28.640 --> 0:25:31.920
<v Speaker 12>Musk is calculating, is that that is still quite uh,

0:25:31.960 --> 0:25:35.399
<v Speaker 12>you know, quite a way ways off. First, you know,

0:25:35.480 --> 0:25:38.640
<v Speaker 12>the companies will need to establish production plants in Mexico.

0:25:39.000 --> 0:25:42.720
<v Speaker 12>We have heard, you know that YD is looking at

0:25:42.760 --> 0:25:45.800
<v Speaker 12>Sherry and and MG and some of these other electric

0:25:45.920 --> 0:25:48.679
<v Speaker 12>vehicle makers, but as of right now, there are no

0:25:48.760 --> 0:25:52.159
<v Speaker 12>production plants. And so this that whole process, you know,

0:25:52.240 --> 0:25:56.160
<v Speaker 12>analyst estimate could take you know, between five to six years.

0:25:56.760 --> 0:26:00.000
<v Speaker 12>The electric vehicles would need to meet the US sestif case,

0:26:00.920 --> 0:26:03.119
<v Speaker 12>but it certainly is a threat. It just might not

0:26:03.240 --> 0:26:05.560
<v Speaker 12>be the most imminent threat, and perhaps not the most

0:26:05.840 --> 0:26:07.960
<v Speaker 12>imminent threat in Elon Musk's mind, right.

0:26:08.000 --> 0:26:10.560
<v Speaker 2>But you do wonder if you're Mexico and you're balancing

0:26:10.600 --> 0:26:12.280
<v Speaker 2>you want that look at what's going on with China.

0:26:12.320 --> 0:26:15.000
<v Speaker 2>You want that foreign direct investment. You don't want to

0:26:15.119 --> 0:26:20.280
<v Speaker 2>alienate the North American auto manufacturers, the US auto manufacturers,

0:26:20.320 --> 0:26:23.600
<v Speaker 2>who are you know, setting up shop there or some

0:26:23.640 --> 0:26:25.920
<v Speaker 2>of the parts suppliers that are are working there.

0:26:25.960 --> 0:26:27.640
<v Speaker 3>Like it's a delicate balance.

0:26:27.720 --> 0:26:31.480
<v Speaker 2>So it'll be interesting to see how much more of

0:26:31.800 --> 0:26:34.080
<v Speaker 2>a presence we have when it comes to Chinese suppliers

0:26:34.080 --> 0:26:36.400
<v Speaker 2>in Mexico, because right now it does seem like they're

0:26:36.440 --> 0:26:40.040
<v Speaker 2>going to continue to amp up their president presence. Excuse me, Amy,

0:26:40.200 --> 0:26:42.840
<v Speaker 2>thank you so much, Amy Stillman. She's Mexico business reporter

0:26:42.880 --> 0:26:45.840
<v Speaker 2>at Bloomberg News. She's joining us on the phone from

0:26:46.040 --> 0:26:50.040
<v Speaker 2>Mexico City, and this story certainly catching our attention today.

0:26:51.359 --> 0:26:53.320
<v Speaker 3>B Marco.

0:26:54.960 --> 0:26:55.400
<v Speaker 11>Journal.

0:26:56.440 --> 0:26:57.440
<v Speaker 10>Now about you let me drive?

0:26:57.960 --> 0:27:03.159
<v Speaker 1>No, no, honey, please, I'll do the driving travels.

0:27:03.400 --> 0:27:05.000
<v Speaker 2>Excuse me, I want to drive.

0:27:07.240 --> 0:27:09.120
<v Speaker 10>It's a good question to fit time.

0:27:11.920 --> 0:27:14.080
<v Speaker 9>This is the drive to the clothes.

0:27:14.640 --> 0:27:16.720
<v Speaker 13>Communick well drier up Jaga.

0:27:16.520 --> 0:27:18.359
<v Speaker 9>Don on Bloomberg Radio.

0:27:19.840 --> 0:27:22.640
<v Speaker 4>It is about that time we got about what seventeen

0:27:22.640 --> 0:27:24.280
<v Speaker 4>minutes of the close right now, and it's time for

0:27:24.359 --> 0:27:26.480
<v Speaker 4>Drive to the Clothes with Aaron Kennon, co founder and

0:27:26.560 --> 0:27:29.720
<v Speaker 4>chief executive officer at Clear Harbor Asset Management. The firm

0:27:29.720 --> 0:27:32.920
<v Speaker 4>manages over one point five at billion dollars. Aaron joining

0:27:33.000 --> 0:27:34.160
<v Speaker 4>us from Stamford, Connecticut.

0:27:34.160 --> 0:27:35.399
<v Speaker 9>Aaron, good to see you. How are you.

0:27:36.240 --> 0:27:38.160
<v Speaker 13>I'm doing just fine. How are you doing tow.

0:27:38.160 --> 0:27:39.359
<v Speaker 9>Yeah, we're doing pretty well. Thanks.

0:27:39.680 --> 0:27:41.760
<v Speaker 4>Trying to figure out yesterday's sell off in the context

0:27:41.800 --> 0:27:44.200
<v Speaker 4>of today's gains. How are you thinking about the hotter

0:27:44.280 --> 0:27:47.840
<v Speaker 4>than expected CPI print that we got yesterday and whether

0:27:47.920 --> 0:27:50.200
<v Speaker 4>or not all the what all the fuss was about?

0:27:51.160 --> 0:27:54.040
<v Speaker 13>Yeah, well, you know, it's interesting. It all really started

0:27:54.080 --> 0:27:57.040
<v Speaker 13>with the jobs report of a week ago. And you know,

0:27:57.040 --> 0:28:00.440
<v Speaker 13>the January data was was was stronger than anticipation, and

0:28:00.840 --> 0:28:04.240
<v Speaker 13>I think market sentiments started shifting, where we went from

0:28:04.280 --> 0:28:08.320
<v Speaker 13>sort of six to seven rate cuts anticipated by the

0:28:08.359 --> 0:28:12.879
<v Speaker 13>market through FED Fund's futures contracts too. Now it looks

0:28:12.920 --> 0:28:17.720
<v Speaker 13>like closer to the Fed's Summary of Economic Projections otherwise

0:28:17.720 --> 0:28:20.760
<v Speaker 13>known as their dot plot, which is three rate cuts

0:28:20.800 --> 0:28:24.080
<v Speaker 13>for this year. And you know, I think the CPI

0:28:24.240 --> 0:28:25.920
<v Speaker 13>just sort of fed into that narrative. What I will

0:28:25.920 --> 0:28:27.480
<v Speaker 13>say though, is that as we all know that the

0:28:27.520 --> 0:28:30.880
<v Speaker 13>CPI number yesterday was quite noisy because some of the

0:28:30.960 --> 0:28:37.320
<v Speaker 13>owner equivalent rent data is sort of backward looking and

0:28:37.840 --> 0:28:40.960
<v Speaker 13>is more of a survey rather than a reality, and

0:28:41.040 --> 0:28:44.920
<v Speaker 13>so it really oeer is more about, you know, if

0:28:44.920 --> 0:28:48.320
<v Speaker 13>you were to rent your home, what would it rent

0:28:48.320 --> 0:28:54.120
<v Speaker 13>out for, rather than an actual increased CPI number on

0:28:54.320 --> 0:28:57.560
<v Speaker 13>housing itself, which which wasn't too bad. So CPI if

0:28:57.640 --> 0:28:59.720
<v Speaker 13>you strip all that out, is running about two percent,

0:29:00.040 --> 0:29:02.000
<v Speaker 13>and that's pretty much in line with the Fed's PCE

0:29:02.280 --> 0:29:03.840
<v Speaker 13>indicator that they like to look at.

0:29:05.200 --> 0:29:08.080
<v Speaker 2>Having said that, Aaron, I mean markets, we're seeing some

0:29:08.160 --> 0:29:10.000
<v Speaker 2>buying into the clothes here. We're pretty much at our

0:29:10.040 --> 0:29:11.800
<v Speaker 2>best levels of the session. So now up about one

0:29:11.840 --> 0:29:14.400
<v Speaker 2>percent on the Nasdaq, up about eight tens of a

0:29:14.400 --> 0:29:17.760
<v Speaker 2>percent on the S and P. Interesting talking with our

0:29:17.760 --> 0:29:20.520
<v Speaker 2>Ira Jersey earlier and said kind of the trifecta. The

0:29:20.520 --> 0:29:23.080
<v Speaker 2>things that moved the Treasury market is non farm payrolls.

0:29:23.120 --> 0:29:25.320
<v Speaker 3>It's CPI, it's also retail sales data.

0:29:25.320 --> 0:29:28.360
<v Speaker 2>And we'll get that read if we get jobs came

0:29:28.440 --> 0:29:31.680
<v Speaker 2>in hot. CPI, as you said, maybe a little noisy

0:29:31.720 --> 0:29:34.160
<v Speaker 2>in terms of the CPI print, but you know it

0:29:34.200 --> 0:29:36.840
<v Speaker 2>did come in higher than expected overall. If we get

0:29:36.840 --> 0:29:41.000
<v Speaker 2>a hot retail sales number, I don't know, do you

0:29:41.040 --> 0:29:43.480
<v Speaker 2>start to rethink a little bit about what the FED

0:29:43.640 --> 0:29:45.120
<v Speaker 2>is going to have to do And could we get

0:29:45.160 --> 0:29:47.920
<v Speaker 2>a FED that potentially even has to raise rates again.

0:29:48.880 --> 0:29:52.600
<v Speaker 13>Yeah, it's always a possibility, Carol, But I think at

0:29:52.600 --> 0:29:56.400
<v Speaker 13>the end of the day, we're seeing Look at we

0:29:56.520 --> 0:29:59.200
<v Speaker 13>came from nine point one percent headline inflation in June

0:29:59.200 --> 0:30:02.760
<v Speaker 13>of two thousand and twenty two too. Now you know,

0:30:03.120 --> 0:30:05.520
<v Speaker 13>somewhere around three percent on a year of a year

0:30:05.600 --> 0:30:09.360
<v Speaker 13>basis and closer to two percent on a three to

0:30:09.400 --> 0:30:11.920
<v Speaker 13>six months or a rolling basis, depending on which metric

0:30:12.000 --> 0:30:15.080
<v Speaker 13>you look at. I think the Fed is essentially seeing

0:30:15.120 --> 0:30:17.440
<v Speaker 13>what they want to see. Saw Austin Goals will be

0:30:17.440 --> 0:30:19.520
<v Speaker 13>one of the voting members on the FLMC this morning,

0:30:20.000 --> 0:30:22.520
<v Speaker 13>essentially saying we don't need to see two percent inflation

0:30:23.440 --> 0:30:25.920
<v Speaker 13>on an annualized basis to start cutting rates. And so

0:30:25.960 --> 0:30:30.360
<v Speaker 13>I think the risk is still towards cutting rather than

0:30:30.680 --> 0:30:32.800
<v Speaker 13>the possibility of a surprise to the market, which is

0:30:32.840 --> 0:30:33.920
<v Speaker 13>that rates move higher.

0:30:34.480 --> 0:30:37.280
<v Speaker 4>Okay, Erin, I want to dig deeper into the equity

0:30:37.320 --> 0:30:39.320
<v Speaker 4>side of this, and talk a little bit about what

0:30:39.360 --> 0:30:42.280
<v Speaker 4>we've seen in the S and P five hundred, the

0:30:42.320 --> 0:30:44.320
<v Speaker 4>market cap weighted s and P five hundred so far

0:30:44.360 --> 0:30:47.160
<v Speaker 4>this year, versus what we've seen in the equal way

0:30:47.200 --> 0:30:49.480
<v Speaker 4>equal weighted S and P five hundred so far this year,

0:30:49.680 --> 0:30:53.000
<v Speaker 4>there's a dispersion. Once again, the market cap weighted one

0:30:53.200 --> 0:30:57.680
<v Speaker 4>is outperforming the equal weighted index. What story does that

0:30:57.720 --> 0:30:59.600
<v Speaker 4>tell about how the year is going to shake out?

0:31:00.480 --> 0:31:04.200
<v Speaker 13>Well, it's it's interesting, Tim, because this was a dynamic

0:31:04.280 --> 0:31:07.640
<v Speaker 13>that we saw throughout the entire entirety of twenty twenty

0:31:07.640 --> 0:31:10.560
<v Speaker 13>three for the most part, where you had the SMP

0:31:10.800 --> 0:31:13.080
<v Speaker 13>market CAAP Weighted Index, which is the sp index that

0:31:13.080 --> 0:31:17.040
<v Speaker 13>everyone talks about, driven by the Magnificent seven. And you know,

0:31:17.120 --> 0:31:19.400
<v Speaker 13>most of those seven stocks are pushing it higher again

0:31:19.440 --> 0:31:22.120
<v Speaker 13>this year, led by Nvidia again up almost fifty percent.

0:31:22.440 --> 0:31:24.600
<v Speaker 13>In fact, if you look at the SMP last year,

0:31:24.760 --> 0:31:27.320
<v Speaker 13>the seven stocks that I just referenced were up about

0:31:27.320 --> 0:31:29.080
<v Speaker 13>one hundred and ten percent. The rest of the market

0:31:29.120 --> 0:31:31.320
<v Speaker 13>was only up about twelve and a half percent. And

0:31:31.360 --> 0:31:33.560
<v Speaker 13>that's sort of the thematic that's playing out this year.

0:31:33.560 --> 0:31:35.959
<v Speaker 13>With a little bit of a caveat around some strength

0:31:35.960 --> 0:31:39.200
<v Speaker 13>and the healthcare segment of the market. And so, you know,

0:31:39.240 --> 0:31:42.240
<v Speaker 13>I think it's an important reminder that the vast majority

0:31:42.240 --> 0:31:44.760
<v Speaker 13>of stocks really over the last you know, two years,

0:31:44.760 --> 0:31:47.360
<v Speaker 13>if you look back to December of twenty twenty one

0:31:47.440 --> 0:31:51.400
<v Speaker 13>to today, you have the SMP up about seven percent

0:31:51.480 --> 0:31:54.240
<v Speaker 13>over that long two plus year period. You have the

0:31:54.640 --> 0:31:57.840
<v Speaker 13>Russell two thousand down about ten percent, you have the

0:31:57.840 --> 0:32:01.000
<v Speaker 13>Emerging Markets Index down thirteen percent, and you have eighty

0:32:01.040 --> 0:32:04.080
<v Speaker 13>four percent of the S and P five hundred constituents

0:32:04.320 --> 0:32:07.760
<v Speaker 13>that are actually not back towards the twenty twenty one peaks.

0:32:08.000 --> 0:32:10.840
<v Speaker 13>And so that's not necessarily a bad thing that that

0:32:10.920 --> 0:32:12.840
<v Speaker 13>actually means, I think if you look at the glass

0:32:12.840 --> 0:32:15.880
<v Speaker 13>half full, it means that there are lots of opportunities

0:32:16.000 --> 0:32:19.320
<v Speaker 13>in the marketplace for stocks that haven't really been on

0:32:19.360 --> 0:32:21.720
<v Speaker 13>this ride high over the last year or so.

0:32:21.720 --> 0:32:24.480
<v Speaker 2>So where would you put client money new client money

0:32:24.560 --> 0:32:24.960
<v Speaker 2>right now?

0:32:26.240 --> 0:32:28.240
<v Speaker 13>Well, you know, we start with, you know, how do

0:32:28.320 --> 0:32:31.400
<v Speaker 13>we create asset allocations for our clients what makes good sense?

0:32:31.440 --> 0:32:33.320
<v Speaker 13>But within the equity markets, because I think that was

0:32:33.320 --> 0:32:36.520
<v Speaker 13>the question you were asking. You know, we've seen opportunities

0:32:36.560 --> 0:32:41.000
<v Speaker 13>you know, across you know, many different segments of the economy.

0:32:41.000 --> 0:32:44.600
<v Speaker 13>There's been this sort of rolling recession happening, and just

0:32:44.640 --> 0:32:47.040
<v Speaker 13>over the last couple of years, you look at, you know, COVID.

0:32:47.040 --> 0:32:50.840
<v Speaker 13>In the healthcare segment, you had something like syringe use,

0:32:50.920 --> 0:32:55.120
<v Speaker 13>for example, skyrocket because everyone's receiving their shot, and then

0:32:55.160 --> 0:32:57.080
<v Speaker 13>you had it fall off a cliff. And now you

0:32:57.200 --> 0:33:03.360
<v Speaker 13>have the ozempics, you know, the g LP one drug

0:33:04.000 --> 0:33:07.960
<v Speaker 13>impacting that demand. So you know, it's it's it's those

0:33:08.000 --> 0:33:10.720
<v Speaker 13>things that we're looking for. Which is this this sense

0:33:10.800 --> 0:33:13.880
<v Speaker 13>that you know, there are lots of opportunities even in

0:33:14.240 --> 0:33:16.400
<v Speaker 13>in segments of the economy that are that are viewed

0:33:16.440 --> 0:33:19.160
<v Speaker 13>as more defensive. You know, we see opportunities in the

0:33:19.280 --> 0:33:23.360
<v Speaker 13>utility sector, in natural gas distribution companies and water utilities.

0:33:23.680 --> 0:33:28.440
<v Speaker 13>Even within technology, we see, you know, wonderful opportunities there.

0:33:28.680 --> 0:33:30.360
<v Speaker 13>Back over in healthcare, you look at sort of the

0:33:30.480 --> 0:33:34.680
<v Speaker 13>robotic surgical space. You know that the idea that a

0:33:34.760 --> 0:33:38.600
<v Speaker 13>doctor in Los Angeles can can do work and open

0:33:38.640 --> 0:33:41.640
<v Speaker 13>heart surgery work on someone sitting in New York City

0:33:41.760 --> 0:33:45.080
<v Speaker 13>or lying on a bed in New York City. I mean,

0:33:45.520 --> 0:33:49.800
<v Speaker 13>this is going to become much more commonplace. But with that,

0:33:49.880 --> 0:33:53.080
<v Speaker 13>we're also staying away from certain areas of the economy

0:33:53.400 --> 0:33:56.320
<v Speaker 13>at certain moments in time. If you look at elective

0:33:56.360 --> 0:33:59.600
<v Speaker 13>surgeries having surged post COVID, well, what does that mean

0:33:59.640 --> 0:34:03.920
<v Speaker 13>from a win perspective? That means healthcare insurance companies have

0:34:04.080 --> 0:34:06.640
<v Speaker 13>a lot of bills to pay and so, uh, you know,

0:34:06.880 --> 0:34:09.840
<v Speaker 13>we're trying to look at both both sides of the docket.

0:34:09.880 --> 0:34:13.680
<v Speaker 13>There the industrial spending that's coming out of the government,

0:34:14.040 --> 0:34:18.319
<v Speaker 13>we've seen, We've seen those dollars surging coming out of

0:34:18.360 --> 0:34:21.040
<v Speaker 13>COVID and still you know, at six point four trillion

0:34:21.120 --> 0:34:24.879
<v Speaker 13>dollars a year, lots of opportunities on the water infrastructure

0:34:24.960 --> 0:34:26.640
<v Speaker 13>infrastructure front there as well.

0:34:26.719 --> 0:34:30.319
<v Speaker 2>Here, it definitely provides momentum. So good to check in

0:34:30.360 --> 0:34:32.960
<v Speaker 2>with you as always. Aaron Kennon, co founder CEO at

0:34:33.280 --> 0:34:36.400
<v Speaker 2>Clear Harbor Asset Management, joining us from Connecticut.

0:34:36.600 --> 0:34:41.239
<v Speaker 1>This is the Bloomberg Business Week podcast of a Little Apple, Spotify,

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