WEBVTT - Fed Minutes, Meta, Rivian, and Student Loans (Podcast)

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside

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<v Speaker 1>my co host Matt Miller.

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<v Speaker 2>Every business day we bring you interviews from CEOs, market pros,

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<v Speaker 2>and Bloomberg experts, along with essential market moven news.

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<v Speaker 1>Find the Bloomberg Markets podcast called Apple Podcasts or wherever

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<v Speaker 1>you listen to podcasts, and at Bloomberg dot com slash podcast.

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<v Speaker 3>We've got a good block of time here and we're

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<v Speaker 3>gonna need it.

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<v Speaker 4>Daniel D.

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<v Speaker 1>Martino Booth joins us here on our Bloomberg Interactive Broker's studio.

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<v Speaker 3>You know her, you know her work.

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<v Speaker 1>CEO and chief strategists at QI Research. Daniel, thanks so

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<v Speaker 1>much for joining us here, Boyd. A lot of economic

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<v Speaker 1>data coming out over the last several days. I don't know,

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<v Speaker 1>the economy seems pretty darn strong to me. I'm not

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<v Speaker 1>sure if the recession talk is off the table. What

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<v Speaker 1>does our Federal Reserve do?

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<v Speaker 3>Look at some of the eco data we've seen over

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<v Speaker 3>the last several days.

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<v Speaker 5>Well, you have to bear in mind, I'm of the

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<v Speaker 5>mind that the Federal Reserve wants a reason to keep

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<v Speaker 5>raising rates. Okay, and we follow one metric at QI

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<v Speaker 5>Research the most closely because it's got the least noise

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<v Speaker 5>in it, so not statistically not seasonally adjusted continuing claims.

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<v Speaker 3>Okay, So I'm gonna make this really simple.

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<v Speaker 5>Last September, there were zero states in the United States

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<v Speaker 5>of America that had rising year over year continuing claimants.

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<v Speaker 5>So the number of individuals in zero states in terms

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<v Speaker 5>of rising beneficiaries. Okay, last September, forty six states as

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<v Speaker 5>of this morning's data have rising continuing claimants. That's ninety

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<v Speaker 5>ninety four percent of the population.

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<v Speaker 3>Wow, Okay, so what's that tell you that?

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<v Speaker 5>And it's been gradual, by the way, this is not

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<v Speaker 5>like from September and a light flipped on in July.

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<v Speaker 5>It's a very gradual move. And it tells me that

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<v Speaker 5>even though the data is not fast moving, that seasonality

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<v Speaker 5>is really giving a lot of trouble to a lot

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<v Speaker 5>of these other data sets. And it just tells you

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<v Speaker 5>that there's been a steady, a steady degradation in the

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<v Speaker 5>US economy viewed through the purest prism of people continuing

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<v Speaker 5>to claim jobless benefits. Not initial, they're not they're not applying,

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<v Speaker 5>they're they're collecting.

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<v Speaker 3>What is eighty I don't know what to do with

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<v Speaker 3>ad you.

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<v Speaker 6>Know, you know, what do you do with ADP?

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<v Speaker 3>I tell you what with ADP?

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<v Speaker 5>You go, Look, we've had about four hundred and we've

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<v Speaker 5>we've had about three hundred and forty eight thousand last

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<v Speaker 5>six months NFP non farm payrolls YEP ADPs three hundred

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<v Speaker 5>and sixty three last six months. Okay, fine, it's caught up.

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<v Speaker 5>Moving on some of that. Some of the aberrations in.

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<v Speaker 3>The data are bizarre.

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<v Speaker 5>Leisure in hospitality, mining. Did we discover copper in America?

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<v Speaker 7>Mining?

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<v Speaker 5>Because that was a huge pop in mining. So and

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<v Speaker 5>we've seen the Baylor, We've seen the Baker, Riggs, Hughes,

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<v Speaker 5>rigcount I can't speak this one. I've had too much coffee.

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<v Speaker 5>We've seen rig counts come down. Okay, So there's no

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<v Speaker 5>reason to think that there's a whole bunch of shale

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<v Speaker 5>formation that's pulling people into the energy patch.

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<v Speaker 1>So you think the economy is weaker than some of

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<v Speaker 1>the underlying some of the headline data is showing.

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<v Speaker 5>I think the economy is weaker if you look on

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<v Speaker 5>a grant.

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<v Speaker 3>When I give the Fed some reasons that just to

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<v Speaker 3>pause if not, I.

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<v Speaker 5>Don't think the Fed wants to pause Okay, I think

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<v Speaker 5>the Fed is looking for reasons to keep going. I

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<v Speaker 5>think if you pay attention to how they will not

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<v Speaker 5>discuss the balance sheet. We're not talking about quantitative tightening.

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<v Speaker 5>It's like Voldemort. They won't talk about it. But they

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<v Speaker 5>can't have quantitative tightening. They can't continue to shrink the

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<v Speaker 5>balance sheet. If a discussion is even entered into about

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<v Speaker 5>easing where rates are they have to keep rights high

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<v Speaker 5>to keep shrinking the balance sheet.

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<v Speaker 8>So we're getting all of this labor data ahead of

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<v Speaker 8>tomorrow's important jobs report, and it's interesting. I'm looking at

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<v Speaker 8>Ecogo and the terminal and it looks like the unemployment

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<v Speaker 8>rate it's actually going to tick down from three point

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<v Speaker 8>seven percent through three point six percent based on analysts

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<v Speaker 8>that we're pulling in the terminal. You look at the

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<v Speaker 8>when it comes to non farm payrolls about two hundred

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<v Speaker 8>and twenty five thousand. What is your take on what

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<v Speaker 8>we could see tomorrow and obviously how that could potentially

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<v Speaker 8>relate to how US stocks are moving on the back

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<v Speaker 8>of this type of data that clearly not even just

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<v Speaker 8>the stuf Bock market, but looking what's happening with a

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<v Speaker 8>two year and the.

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<v Speaker 5>Two year really is where it is all at at

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<v Speaker 5>this point, right, you know, I think I can't tell

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<v Speaker 5>you what NFP is going to do tomorrow. I had

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<v Speaker 5>a friend of Mit, Peter Sheher, he's a good friend

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<v Speaker 5>of Bloomberg's, you know, he made the comment, what are

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<v Speaker 5>the statistically speaking, what are the odds that fourteen months

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<v Speaker 5>in a row all the economists missed the estimate?

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<v Speaker 3>And what are the odds?

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<v Speaker 5>I mean, the bls will tell you that forty two

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<v Speaker 5>percent of the jobs created in the last forty two

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<v Speaker 5>months are against a backdrop of the fastest bankruptcy cycle

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<v Speaker 5>since two thousand and nine. So how do we have

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<v Speaker 5>a birth death adjustment that adds forty two percent net

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<v Speaker 5>net of all non farm payroll jobs. Forty two percent

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<v Speaker 5>is not a small number over the last twelve months

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<v Speaker 5>in the aggregate, assuming that this is all berths, when

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<v Speaker 5>you can pull up BCY, go on the terminal and

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<v Speaker 5>see the biggest number since two thousand and nine.

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<v Speaker 8>So when you see the two year at a sixteen

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<v Speaker 8>year high, what do you think the bond market it

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<v Speaker 8>is telling us.

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<v Speaker 5>It's telling you that Fed's going to keep raising rates

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<v Speaker 5>come what may.

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<v Speaker 1>So we've got ninety percent priced in for the next meeting,

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<v Speaker 1>they go again after that, you think it's September.

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<v Speaker 5>I think it really becomes data dependent at that point,

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<v Speaker 5>unless there's going to be an investigation launched to the

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<v Speaker 5>Bureau of Labor Statistics, because they're already questioning the inflation data.

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<v Speaker 5>That's a matter of public knowledge. So I mean, barring that,

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<v Speaker 5>you don't get to forty six states with rising continuing

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<v Speaker 5>claimants without somebody starting to notice that there's a problem

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<v Speaker 5>in the country.

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<v Speaker 1>So what is the I mean, what is your overall

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<v Speaker 1>take of this economy that there is in fact more

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<v Speaker 1>weakness than the I guess the headline data would show.

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<v Speaker 3>But yet they're still going to rate raise rates.

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<v Speaker 5>It's the butt Yet remember the employee Retention credit they

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<v Speaker 5>advertise all the time. It just pumped twenty eight point

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<v Speaker 5>eight billion dollars into the US economy in the month

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<v Speaker 5>of June alone. It's been about twenty billion dollars a

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<v Speaker 5>month now for about eighteen months. There's a massive form

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<v Speaker 5>of COVID fiscal stimulus that continues to make its way

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<v Speaker 5>into this economy. You see it in international travel. But

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<v Speaker 5>his tourist and slack came out in his morning note

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<v Speaker 5>this morning and said the US consumer slowing. I think

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<v Speaker 5>it pained him to say that, But if you look

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<v Speaker 5>beyond the recipients of this employee retention credit, kind of

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<v Speaker 5>the wealthiest, the highest income earners, you're seeing decided signs

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<v Speaker 5>of slowing in consumption.

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<v Speaker 8>So then with this jobs report tomorrow, we have CPI

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<v Speaker 8>on July twelfth, so next week, and then we'll have

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<v Speaker 8>the FED meeting on July twenty fifth and twenty six,

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<v Speaker 8>So those are the last major data points before that.

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<v Speaker 8>Is that enough for them to decide to potentially hike Oh?

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<v Speaker 5>I think it is.

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<v Speaker 9>I really do.

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<v Speaker 3>Again.

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<v Speaker 5>He's focused on an inflation metric of his own design,

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<v Speaker 5>the core CPI net of shelter, and it is a

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<v Speaker 5>slow moving animal. We've gone back and looked at it historically,

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<v Speaker 5>prior to the pandemic, it was usually running at about

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<v Speaker 5>two to three percent, but two percent was a rarity,

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<v Speaker 5>that isolated metric that J. Powell has conceived out of

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<v Speaker 5>thin air. So in that he's looking at that, I

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<v Speaker 5>think that it's very conceivable. We're you know, O Mayr

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<v Speaker 5>Sharif is saying, you know, look for used cars prices

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<v Speaker 5>to come down, you know, look for shelter to continue falling.

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<v Speaker 5>Look for that next CPI print to be very bond

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<v Speaker 5>market friendly unless Ja Powel's just going to look through

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<v Speaker 5>it as you go forty eight hours into blackout right

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<v Speaker 5>before the next for.

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<v Speaker 3>MC, what are one of the many reasons we're like

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<v Speaker 3>speaking to you is you rip out some data points

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<v Speaker 3>that quite frankly, I've never heard of.

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<v Speaker 1>What are some of the data points that you and

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<v Speaker 1>your team are kind of looking at here to get

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<v Speaker 1>a sense that maybe aren't on eco go.

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<v Speaker 3>So we actually.

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<v Speaker 5>Follow weekly data from light Cast. They started tracking the

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<v Speaker 5>data as of January twenty twenty to get a benchmark

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<v Speaker 5>for which types of job openings there are in the nation,

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<v Speaker 5>so jobs with minimal education required, I mean they needed

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<v Speaker 5>a new scale in order to track how many job

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<v Speaker 5>openings there were for lee, your hospitality, bus boys, you

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<v Speaker 5>name it. That's recently through the week of June twenty

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<v Speaker 5>fourth come down to zero, so there are effectively no

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<v Speaker 5>job opening Using a benchmark of January of twenty twenty,

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<v Speaker 5>I follow trueflation very closely truflation. We actually were able

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<v Speaker 5>to get their full data set back to twenty twelve.

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<v Speaker 5>We ran a correlation analysis with the headline CPI last Friday,

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<v Speaker 5>ninety seven percent since twenty twelve. The correlation where it's

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<v Speaker 5>trueflation today two point two percent. Okay, it's thirty million

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<v Speaker 5>real time prices. It's a daily inflation print, but a

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<v Speaker 5>ninety seven percent correlation since twenty twelve. With headline CPI

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<v Speaker 5>tells you exactly where inflation is headed.

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<v Speaker 1>So inflation's headed lower, much lower. And isn't that good

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<v Speaker 1>news for Jpal? And that's what he wants to see.

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<v Speaker 5>Ran, It's not good news for that Jpal That Japal

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<v Speaker 5>wants to continue shrinking that balance sheet, oh Man, and

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<v Speaker 5>he wants a reason to continue shrinking that balance sheet.

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<v Speaker 5>So he's going to focus on job openings remaining high,

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<v Speaker 5>even though work out of the Dallas Fed shows that

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<v Speaker 5>ninety percent of those job openings are written for the

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<v Speaker 5>specific purpose of poaching your closest competitors employees so you

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<v Speaker 5>don't have to spend the money training them. The other

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<v Speaker 5>ten percent actually reflect organic demand in the economy for

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<v Speaker 5>new job openings. That's being reflected in indeed dot com

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<v Speaker 5>as well. You're seeing in d dot com job postings

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<v Speaker 5>have come down tremendously over the last twelve months. That's

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<v Speaker 5>another big one that we follow. And again it's a

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<v Speaker 5>weekly data set and they're speaking to thousands and thousands

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<v Speaker 5>of companies across the country. That's what you want. You

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<v Speaker 5>want people who are speaking to people on the ground.

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<v Speaker 8>And so even though we see the Fed's preferred gauge

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<v Speaker 8>PCE moving in the right direction, to you, that's still

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<v Speaker 8>not enough when you're looking at what's happening with the

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<v Speaker 8>strength on the labor's side.

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<v Speaker 5>And I'm going to quote Powell here, until the job

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<v Speaker 5>is done, yep, until we get to two percent.

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<v Speaker 3>And two percent, what is the two percent number? That

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<v Speaker 3>is the core x.

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<v Speaker 5>He's looking for core PCE to be two percent. That

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<v Speaker 5>is typically the gauge that you're talking about internally.

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<v Speaker 3>Okay, all right, and we're not there yet.

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<v Speaker 10>No, we got no excluding food and energy.

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<v Speaker 5>But he's going to keep you also, like to house weeds,

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<v Speaker 5>we get data out today at just after four o'clock.

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<v Speaker 5>You're going to see a big chunk of quantitative tightening

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<v Speaker 5>when that data hits late after the bill today.

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<v Speaker 1>All right, Danielle Dee Martine Booth, thank you so much

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<v Speaker 1>for joining us. He know, Danielle de Martino Booth, she

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<v Speaker 1>is the CEO, and she is the chief.

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<v Speaker 3>Strategist at QI Research.

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<v Speaker 1>She's also did a stint at the Dallas Federal Reserve,

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<v Speaker 1>so you know about the Dallas Federal Reserve and how

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<v Speaker 1>the central bankers think across the board. So I always

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<v Speaker 1>appreciate getting some of Danielle's thoughts here.

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<v Speaker 11>You're listening to the Team Ken's live program Bloomberg Markets

0:10:35.000 --> 0:10:38.080
<v Speaker 11>weekdays at ten am Eastern on Bloomberg dot Com, the

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<v Speaker 11>iHeartRadio app, and the Bloomberg Business App, or listen on

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<v Speaker 11>demand wherever you get your podcasts.

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<v Speaker 8>To our next guest, Michael Green, portfolio manager in chief

0:10:48.720 --> 0:10:52.160
<v Speaker 8>Strategists at Simplify Asset Management. Michael, thank you for joining us.

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<v Speaker 8>Before we get more into what you're going to talk about,

0:10:55.240 --> 0:10:57.440
<v Speaker 8>as far as what you like about sectors in the

0:10:57.520 --> 0:10:59.080
<v Speaker 8>S and P five hundred, I have to get your

0:10:59.120 --> 0:11:01.640
<v Speaker 8>take as far as these massive moves in the bond market,

0:11:01.679 --> 0:11:04.120
<v Speaker 8>especially with the two year treasury trading round its highest

0:11:04.240 --> 0:11:07.040
<v Speaker 8>level in about sixteen years.

0:11:07.520 --> 0:11:10.040
<v Speaker 12>Well, I have to confess that I actually see the

0:11:10.200 --> 0:11:13.440
<v Speaker 12>current level of the two year as being remarkably attractive.

0:11:13.720 --> 0:11:15.760
<v Speaker 12>But I have been wrong in thinking that for a

0:11:15.840 --> 0:11:19.640
<v Speaker 12>while now. So you know my general belief is that

0:11:19.760 --> 0:11:23.240
<v Speaker 12>the economy is slowing. The inflation problem is for seeing

0:11:23.280 --> 0:11:26.920
<v Speaker 12>in the ism services today is largely one that's in

0:11:27.200 --> 0:11:29.920
<v Speaker 12>very mirror, and the risk that we're actually creating and

0:11:29.960 --> 0:11:33.839
<v Speaker 12>through interest rate policy is the higher level of interest

0:11:33.920 --> 0:11:36.440
<v Speaker 12>rates themselves are actually now the key risk.

0:11:36.520 --> 0:11:39.400
<v Speaker 7>This is exactly what we saw with the banking system.

0:11:39.120 --> 0:11:42.800
<v Speaker 4>Earlier in here. I think it's working its way.

0:11:42.600 --> 0:11:45.440
<v Speaker 12>Through the corporate sector where we're seeing a dramatic rise

0:11:45.480 --> 0:11:46.319
<v Speaker 12>in bankruptcies.

0:11:46.920 --> 0:11:48.840
<v Speaker 4>The odd thing for me is simply that it's not

0:11:48.880 --> 0:11:49.840
<v Speaker 4>reflected in spreads.

0:11:49.880 --> 0:11:51.640
<v Speaker 7>It doesn't seem to be reflected in.

0:11:51.600 --> 0:11:55.600
<v Speaker 4>Any way in the federal reserves calculations, and candidly, when

0:11:55.640 --> 0:11:56.559
<v Speaker 4>we look at the job.

0:11:56.520 --> 0:12:00.880
<v Speaker 12>Data today, certainly coming from the ADP, I have to

0:12:00.920 --> 0:12:04.120
<v Speaker 12>confess that I'm pot off sides in terms of that strength.

0:12:04.360 --> 0:12:06.120
<v Speaker 4>I cannot reconcile the data.

0:12:06.760 --> 0:12:07.600
<v Speaker 7>If I look.

0:12:07.520 --> 0:12:10.600
<v Speaker 12>At the numbers for twenty twenty three on a non

0:12:10.720 --> 0:12:13.920
<v Speaker 12>seasonally adjusted basis and compare them to the data from

0:12:14.480 --> 0:12:17.120
<v Speaker 12>twenty twenty two, they're lower.

0:12:16.880 --> 0:12:19.920
<v Speaker 4>In every category. So oddly we.

0:12:19.960 --> 0:12:23.199
<v Speaker 12>Have this seasonal adjustment factor that again is raising its

0:12:23.200 --> 0:12:25.760
<v Speaker 12>head and just making me really question whether the data

0:12:25.800 --> 0:12:27.280
<v Speaker 12>that we're receiving is accurate.

0:12:28.760 --> 0:12:32.040
<v Speaker 1>So I guess let's let's look at it the economy

0:12:32.040 --> 0:12:32.840
<v Speaker 1>from a different way.

0:12:33.360 --> 0:12:34.439
<v Speaker 3>Earnings, corporate earnings.

0:12:34.520 --> 0:12:36.400
<v Speaker 1>I'm looking at the you know, the earnings for the

0:12:36.440 --> 0:12:39.880
<v Speaker 1>S and P five hundred consensus of analysts about two

0:12:39.960 --> 0:12:42.320
<v Speaker 1>hundred and twenty two dollars per share for this year.

0:12:43.280 --> 0:12:45.360
<v Speaker 1>How much risk, if any, do you see in that

0:12:45.440 --> 0:12:47.400
<v Speaker 1>earnings number for corporate America.

0:12:48.360 --> 0:12:51.400
<v Speaker 12>Well, I think that there's a remarkable disconnect between the

0:12:51.800 --> 0:12:55.760
<v Speaker 12>expectations data and the actual data that we're experiencing in

0:12:55.800 --> 0:12:58.800
<v Speaker 12>the gap form, right, so they generally accepted accounting principles

0:12:58.840 --> 0:13:01.520
<v Speaker 12>earnings for the S and P or down one seventy nine.

0:13:01.960 --> 0:13:03.960
<v Speaker 12>That's off of a level of about two zho nine

0:13:04.000 --> 0:13:06.959
<v Speaker 12>from last year. It shows no dynamic that would suggests

0:13:06.960 --> 0:13:09.959
<v Speaker 12>that the rebound that analysts are forecasting is in play.

0:13:11.040 --> 0:13:14.040
<v Speaker 4>Much of what I would argue we're seeing is basically.

0:13:13.679 --> 0:13:19.360
<v Speaker 12>An attempt to ignore the one time costs associated with

0:13:19.559 --> 0:13:22.760
<v Speaker 12>either unemployment or layoffs.

0:13:22.960 --> 0:13:26.600
<v Speaker 4>And in many ways, again, it just feels like data is.

0:13:26.600 --> 0:13:29.319
<v Speaker 12>Being created to match a narrative of rising prices with

0:13:29.440 --> 0:13:32.800
<v Speaker 12>the reality of rising prices and stock markets, versus what

0:13:32.840 --> 0:13:34.520
<v Speaker 12>we're actually seeing empirically in the.

0:13:34.480 --> 0:13:37.560
<v Speaker 8>Economy, Michael, the S and P five hundreds trading around,

0:13:37.600 --> 0:13:39.480
<v Speaker 8>it's the lowest level in about a week. Something I

0:13:39.600 --> 0:13:41.480
<v Speaker 8>was curious about when we're looking at some of this

0:13:41.640 --> 0:13:45.840
<v Speaker 8>stronger than expected labor data, is this potentially a reason

0:13:46.040 --> 0:13:49.600
<v Speaker 8>for certain stock investors to sell after what was a

0:13:49.760 --> 0:13:51.319
<v Speaker 8>very strong first half.

0:13:53.360 --> 0:13:56.840
<v Speaker 12>Well, I think that there is very much a focus,

0:13:56.920 --> 0:13:59.480
<v Speaker 12>correctly on what the FED is going to do, and

0:13:59.520 --> 0:14:00.120
<v Speaker 12>so we're.

0:14:00.080 --> 0:14:02.040
<v Speaker 7>Clearly seeing, as you let into the.

0:14:01.920 --> 0:14:06.520
<v Speaker 12>Discussion here, indications that interest rates are moving higher. That

0:14:06.760 --> 0:14:09.520
<v Speaker 12>Lori Logan came out today and said she expects additional

0:14:09.559 --> 0:14:13.920
<v Speaker 12>interest rates going forward. I think, broadly speaking that that

0:14:14.120 --> 0:14:17.319
<v Speaker 12>is really what's powering the market as of this immediate

0:14:17.360 --> 0:14:21.120
<v Speaker 12>sell office, compared to kicking gains or anything else.

0:14:21.160 --> 0:14:24.000
<v Speaker 4>You've seen a fairly significant a balance of.

0:14:24.880 --> 0:14:27.440
<v Speaker 12>Disconnect between the S and P five hundred, which is

0:14:27.480 --> 0:14:31.160
<v Speaker 12>obviously market cap weighted and dominated by the large market

0:14:31.200 --> 0:14:34.040
<v Speaker 12>cap names, and what we've seen in said the Russell

0:14:34.080 --> 0:14:37.240
<v Speaker 12>two thousand, which is not up nearly as much on

0:14:37.280 --> 0:14:40.080
<v Speaker 12>a year today basis, and in fact the equal weighted

0:14:40.160 --> 0:14:40.920
<v Speaker 12>Russell two.

0:14:40.720 --> 0:14:42.400
<v Speaker 4>Thousand is barely up for the year.

0:14:42.920 --> 0:14:44.760
<v Speaker 12>So this has been an environment in which the vast

0:14:44.760 --> 0:14:48.080
<v Speaker 12>majority of stocks have been relatively weak, even as a

0:14:48.120 --> 0:14:51.440
<v Speaker 12>few MEGGA cap names, Apple, Microsoft, and Video et cetera

0:14:51.560 --> 0:14:53.120
<v Speaker 12>have been very strong.

0:14:54.040 --> 0:14:57.480
<v Speaker 4>In my view that that would represent mostly.

0:14:57.040 --> 0:15:02.800
<v Speaker 12>A you know, flow store, effectively money going into AI

0:15:02.920 --> 0:15:07.000
<v Speaker 12>and technology space driving performance as compared to any indication

0:15:07.160 --> 0:15:08.640
<v Speaker 12>of real economics display.

0:15:09.800 --> 0:15:14.400
<v Speaker 1>Mike, I'm sensing a distinct tone of cautiousness in your

0:15:14.480 --> 0:15:17.880
<v Speaker 1>view of the markets and the economy. How are you

0:15:17.960 --> 0:15:22.240
<v Speaker 1>allocating your portfolio these days? Stocks, bonds, what sectors, that

0:15:22.280 --> 0:15:22.760
<v Speaker 1>type of thing.

0:15:23.640 --> 0:15:26.200
<v Speaker 12>Yeah, I know, as I indicated, I absolutely have been

0:15:26.240 --> 0:15:30.440
<v Speaker 12>caught in the wrong positioning on this last move. I

0:15:30.520 --> 0:15:34.520
<v Speaker 12>genuinely look at the two year bond at five plus

0:15:34.600 --> 0:15:37.120
<v Speaker 12>right now and say, I can't believe that we're being

0:15:37.160 --> 0:15:40.360
<v Speaker 12>given this opportunity in an environment in which it seems

0:15:40.480 --> 0:15:45.320
<v Speaker 12>very clear that at least the economy has slowed dramatically.

0:15:46.520 --> 0:15:48.760
<v Speaker 12>Whether it continues to slow it is really the question,

0:15:49.320 --> 0:15:54.520
<v Speaker 12>and I see few opportunities for continued growth and expansion.

0:15:55.240 --> 0:15:58.120
<v Speaker 4>Today's ADP is obviously a wrinkle in that.

0:15:58.360 --> 0:16:00.480
<v Speaker 7>But you know, again, I just think.

0:16:00.400 --> 0:16:02.800
<v Speaker 12>The data that we will receive from ADP today is wrong.

0:16:03.320 --> 0:16:06.480
<v Speaker 12>Can't fully explain it, but that's what it appears to be.

0:16:06.560 --> 0:16:07.600
<v Speaker 7>Where the non.

0:16:07.480 --> 0:16:11.880
<v Speaker 12>Seasonally adjusted data is showing a significant divergence from the

0:16:11.960 --> 0:16:15.080
<v Speaker 12>seasonally adjusted data. That's true for the claims data, that's

0:16:15.080 --> 0:16:18.240
<v Speaker 12>true for the unemployment data, that's true for.

0:16:18.200 --> 0:16:19.720
<v Speaker 7>The ADP data.

0:16:20.440 --> 0:16:23.400
<v Speaker 8>Something that struck me just looking at the industries within

0:16:23.440 --> 0:16:25.640
<v Speaker 8>the S and P five hundred, more of those cyclically

0:16:25.680 --> 0:16:28.440
<v Speaker 8>related corners of the market are leading to clients when

0:16:28.440 --> 0:16:32.160
<v Speaker 8>you're looking at energy, also materials, technology down a little

0:16:32.200 --> 0:16:34.760
<v Speaker 8>bit under one percent. Also the NAZAQ one hundred down

0:16:34.960 --> 0:16:37.560
<v Speaker 8>more than one percent. But when you think about the

0:16:37.560 --> 0:16:41.280
<v Speaker 8>correlation between bonds and what's happening when it comes to

0:16:41.440 --> 0:16:44.720
<v Speaker 8>technology stocks in particular or growth shares, would you expect

0:16:44.720 --> 0:16:47.440
<v Speaker 8>them to be more pressured given what we're seeing in

0:16:47.440 --> 0:16:48.680
<v Speaker 8>the bond market.

0:16:49.560 --> 0:16:50.040
<v Speaker 13>So I'm not a.

0:16:50.080 --> 0:16:52.800
<v Speaker 12>Huge believer in this idea that growth stocks or large

0:16:52.800 --> 0:16:55.880
<v Speaker 12>cap growth stocks in particular have a quote unquote high duration,

0:16:55.960 --> 0:16:58.560
<v Speaker 12>in other words, a high degree of sensitivity and interest rates.

0:16:58.600 --> 0:17:01.360
<v Speaker 12>I think we've obviously seen that, you know, with the

0:17:01.360 --> 0:17:03.680
<v Speaker 12>strength of the Apples and the Microsoft's on a here

0:17:03.720 --> 0:17:05.639
<v Speaker 12>to day basis, where despite the fact that we have

0:17:05.720 --> 0:17:10.479
<v Speaker 12>much higher interest rates, they continue to push higher. If anything,

0:17:10.520 --> 0:17:13.440
<v Speaker 12>I think that there's an explanation that has much more

0:17:13.520 --> 0:17:16.800
<v Speaker 12>to do a kind of portfolio allocation dynamics than any

0:17:16.960 --> 0:17:20.040
<v Speaker 12>sort of fundamentals around interest rates and valuation.

0:17:21.680 --> 0:17:23.000
<v Speaker 7>Again, you know, I.

0:17:22.920 --> 0:17:25.960
<v Speaker 4>Would just lean towards the direction that what we're worried.

0:17:25.640 --> 0:17:28.399
<v Speaker 12>About at this point is the FED continuing to be

0:17:28.680 --> 0:17:32.080
<v Speaker 12>overly aggressive with the hikes that are already in the system,

0:17:32.359 --> 0:17:35.479
<v Speaker 12>not in any way reflected in the underlying data that

0:17:35.520 --> 0:17:39.080
<v Speaker 12>we're receiving. Yet, as that moves forward, if the FED

0:17:39.119 --> 0:17:43.840
<v Speaker 12>continues to hike for pauses in its response, that creates

0:17:43.840 --> 0:17:45.040
<v Speaker 12>conditions under which.

0:17:44.920 --> 0:17:47.320
<v Speaker 7>A slowdown could actually.

0:17:47.119 --> 0:17:49.760
<v Speaker 12>End up being much more severe than it's currently being

0:17:49.840 --> 0:17:54.040
<v Speaker 12>priced in or versus expectation, and that unfortunately continues to

0:17:54.080 --> 0:17:57.280
<v Speaker 12>be my rising rates case. If the FED is simply

0:17:57.359 --> 0:18:00.880
<v Speaker 12>behind the curve in the opposite direction again, ism prices

0:18:00.920 --> 0:18:04.280
<v Speaker 12>paid data would suggest that the inflation story as well

0:18:04.320 --> 0:18:04.800
<v Speaker 12>behind us.

0:18:04.840 --> 0:18:07.480
<v Speaker 4>We see this in Europe with the CPI the producer

0:18:07.560 --> 0:18:09.000
<v Speaker 4>price indexes turn negative.

0:18:09.600 --> 0:18:13.440
<v Speaker 12>We're just seeing data that they suggest that the inflation

0:18:13.600 --> 0:18:16.080
<v Speaker 12>story is no longer the operative dynamic.

0:18:17.680 --> 0:18:20.960
<v Speaker 4>Doesn't necessarily mean that that's right, though, all right, So.

0:18:21.240 --> 0:18:23.000
<v Speaker 1>Real quick there, Mike, what do you think we're going

0:18:23.040 --> 0:18:24.840
<v Speaker 1>to hear from our feder Reserve at the next meeting

0:18:24.840 --> 0:18:25.960
<v Speaker 1>and maybe even the meeting after that.

0:18:27.119 --> 0:18:29.879
<v Speaker 12>Well, I think it's hard to argue with the market, right, So,

0:18:29.920 --> 0:18:32.120
<v Speaker 12>when the market suggests that they are more than eighty

0:18:32.119 --> 0:18:35.040
<v Speaker 12>five percent probability of going, and historically it's been about

0:18:35.080 --> 0:18:38.520
<v Speaker 12>seventy percent, it's been very rare for the Fed not

0:18:38.640 --> 0:18:42.600
<v Speaker 12>to take advantage of that. I would expect that they'll

0:18:42.640 --> 0:18:45.920
<v Speaker 12>ultimately hike, and that they'll indicate, as the data suggests

0:18:45.920 --> 0:18:50.359
<v Speaker 12>certainly today, that the economy continues to represent strength. I

0:18:50.359 --> 0:18:53.160
<v Speaker 12>don't really think that they're focused on the inflation story

0:18:53.200 --> 0:18:55.800
<v Speaker 12>as much as they are focused on or the direction

0:18:55.880 --> 0:18:59.119
<v Speaker 12>of inflation story, which is clearly downwards, as much as

0:18:59.119 --> 0:19:02.560
<v Speaker 12>they are focused on the idea we've got to get right.

0:19:02.920 --> 0:19:05.760
<v Speaker 12>That is going to be the real question is, you know,

0:19:05.840 --> 0:19:08.639
<v Speaker 12>do they continue to hip until we get to two percent?

0:19:08.720 --> 0:19:11.440
<v Speaker 4>Which right, just that they're going to be way behind

0:19:11.480 --> 0:19:13.680
<v Speaker 4>the curve opposite direction. All right.

0:19:13.720 --> 0:19:17.960
<v Speaker 8>Michael Green, portfolio manager in chief strategist at Simplify Asset Management,

0:19:18.000 --> 0:19:20.320
<v Speaker 8>thank you so much for joining us and getting your

0:19:20.359 --> 0:19:20.960
<v Speaker 8>purview here.

0:19:21.400 --> 0:19:24.480
<v Speaker 11>You're listening to the tape Can's our live program Bloomberg

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0:19:28.240 --> 0:19:30.200
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0:19:30.160 --> 0:19:31.480
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0:19:31.520 --> 0:19:34.320
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0:19:40.040 --> 0:19:42.000
<v Speaker 1>Let's get right to our next guest at Mona Mahadgen,

0:19:42.200 --> 0:19:46.479
<v Speaker 1>senior investment strategists at Edward Jones. Mon A crazy, crazy

0:19:46.560 --> 0:19:48.800
<v Speaker 1>day in the markets here. I love to get your

0:19:48.800 --> 0:19:51.600
<v Speaker 1>sense of kind of what the economic data is telling you,

0:19:51.920 --> 0:19:53.439
<v Speaker 1>and what do you think it's telling the Federal Reserve.

0:19:54.640 --> 0:19:57.439
<v Speaker 14>Yeah, great points there, and look, I think there was

0:19:57.480 --> 0:20:00.280
<v Speaker 14>some really market moving data this morning that we think

0:20:00.320 --> 0:20:03.200
<v Speaker 14>highlighted a few trends. First of all, the services part

0:20:03.240 --> 0:20:07.360
<v Speaker 14>of the economy continues to remain remarkably resilient. We saw

0:20:07.359 --> 0:20:10.239
<v Speaker 14>that not only with the ADP jobs report, where we

0:20:10.240 --> 0:20:12.560
<v Speaker 14>were up four hundred and ninety seven thousand jobs when

0:20:12.600 --> 0:20:15.080
<v Speaker 14>we expected just two hundred and twenty five thousand, but

0:20:15.200 --> 0:20:19.080
<v Speaker 14>really what drove that was the services sectors, including areas

0:20:19.119 --> 0:20:22.480
<v Speaker 14>like leisure and hospitality. We also got the Ism services

0:20:22.560 --> 0:20:26.240
<v Speaker 14>data this morning, which continued to show an upward trend

0:20:26.359 --> 0:20:29.080
<v Speaker 14>rather than what many had expected to be a little

0:20:29.119 --> 0:20:33.280
<v Speaker 14>bit more moderation. Now. On the positive side, both the

0:20:33.320 --> 0:20:37.520
<v Speaker 14>ADP and the ISM services data did show some cooling

0:20:37.640 --> 0:20:40.960
<v Speaker 14>in inflation. ADP data wage gains came in at six

0:20:41.000 --> 0:20:44.680
<v Speaker 14>point four percent, still elevated, but following a trend lower

0:20:44.760 --> 0:20:48.400
<v Speaker 14>over the last several months, and similarly, the ISM prices

0:20:48.480 --> 0:20:53.879
<v Speaker 14>paid component came in below expectations. And so hopefully the

0:20:54.359 --> 0:20:57.479
<v Speaker 14>message is that, yes, the economy has remained resilient, but

0:20:57.520 --> 0:21:01.720
<v Speaker 14>the inflation data continues to show of moderation. Now. Of course,

0:21:02.000 --> 0:21:05.840
<v Speaker 14>from a FED perspective, I think this gives them another

0:21:05.920 --> 0:21:09.719
<v Speaker 14>green light to move forward in July at least, and

0:21:09.760 --> 0:21:12.879
<v Speaker 14>we heard a little bit of dissent and debate when

0:21:12.880 --> 0:21:16.160
<v Speaker 14>we got the minutes yesterday. I think this certainly kind

0:21:16.200 --> 0:21:19.080
<v Speaker 14>of adds to the case that they could do one,

0:21:19.320 --> 0:21:22.919
<v Speaker 14>perhaps two more rate hikes ahead, but they are closer

0:21:22.920 --> 0:21:26.040
<v Speaker 14>to a pause than they have been in recent history now.

0:21:26.080 --> 0:21:28.440
<v Speaker 14>I think the other big part of the markets today,

0:21:28.440 --> 0:21:30.520
<v Speaker 14>of course, has been what's happening with yields, and the

0:21:30.600 --> 0:21:33.800
<v Speaker 14>upward moving yields close to now highs for the year

0:21:34.440 --> 0:21:37.440
<v Speaker 14>does put some downward pressure on equity markets, particularly those

0:21:37.480 --> 0:21:39.400
<v Speaker 14>higher valuation parts of the market as well.

0:21:40.000 --> 0:21:42.840
<v Speaker 8>And we've heard from FED chair Pale as well as

0:21:43.000 --> 0:21:46.280
<v Speaker 8>other members of the Central Bank and were referring to

0:21:46.320 --> 0:21:48.720
<v Speaker 8>this as far as at least two more rate increases

0:21:48.760 --> 0:21:50.920
<v Speaker 8>this year. If we do end up seeing another one

0:21:50.920 --> 0:21:52.760
<v Speaker 8>at the end of this month, what would need to

0:21:52.800 --> 0:21:55.320
<v Speaker 8>happen with the data between now and then when we

0:21:55.400 --> 0:21:58.639
<v Speaker 8>have the Federal reserves following meeting in September, after the

0:21:58.720 --> 0:22:01.359
<v Speaker 8>July meeting for them to end up maybe potentially having

0:22:01.400 --> 0:22:03.639
<v Speaker 8>two consecutive rate increases.

0:22:04.680 --> 0:22:05.600
<v Speaker 10>Yeah, it's a good point.

0:22:05.640 --> 0:22:07.679
<v Speaker 14>And look, we do get a lot of data between

0:22:07.720 --> 0:22:09.840
<v Speaker 14>now and September, and of course this month alone, we'll

0:22:09.840 --> 0:22:12.760
<v Speaker 14>get an additional set of CPI and PPI data next week,

0:22:13.160 --> 0:22:15.800
<v Speaker 14>will of course start earning season towards the end of July,

0:22:15.920 --> 0:22:19.480
<v Speaker 14>and we'll have that July rate hike or rate decision

0:22:19.880 --> 0:22:23.520
<v Speaker 14>at the end of July, So the Fed and the

0:22:23.560 --> 0:22:26.719
<v Speaker 14>markets will have to digest quite a bit. Our view

0:22:26.840 --> 0:22:29.720
<v Speaker 14>is that over time we will continue to see inflation

0:22:29.840 --> 0:22:32.159
<v Speaker 14>moderate and so perhaps the one rate hike that the

0:22:32.200 --> 0:22:35.200
<v Speaker 14>markets are pricing in could be a final rate hike

0:22:35.240 --> 0:22:35.760
<v Speaker 14>for the Fed.

0:22:36.440 --> 0:22:37.160
<v Speaker 10>But if the.

0:22:37.160 --> 0:22:42.560
<v Speaker 14>Economy does continue at this pace, especially in the services sectors,

0:22:43.160 --> 0:22:46.680
<v Speaker 14>that could keep services inflation elevated. Keep in mind, the

0:22:46.720 --> 0:22:49.960
<v Speaker 14>FED has broken down inflation into three core buckets, which

0:22:50.000 --> 0:22:53.160
<v Speaker 14>are goods inflation, which have shown signs of rolling, over

0:22:53.680 --> 0:22:57.959
<v Speaker 14>housing shelter inflation, which we do think over time will

0:22:58.000 --> 0:23:01.240
<v Speaker 14>see cooling. That there's a lag there, and real time

0:23:01.320 --> 0:23:03.359
<v Speaker 14>data is showing some cooling and we think that shows

0:23:03.440 --> 0:23:05.880
<v Speaker 14>up over time. But it's really that third bucket, which

0:23:05.880 --> 0:23:10.400
<v Speaker 14>they categorize as non housing services inflation, that has yet

0:23:10.440 --> 0:23:12.959
<v Speaker 14>to show meaningful signs of moderation. So they'll be watching

0:23:13.000 --> 0:23:16.000
<v Speaker 14>that closely. And I think if that continues to show

0:23:16.040 --> 0:23:19.960
<v Speaker 14>signs at least of stabilizing moving lower, we'll have one

0:23:20.040 --> 0:23:22.080
<v Speaker 14>rate hike ahead of us. If not that, the second

0:23:22.080 --> 0:23:22.960
<v Speaker 14>one is on the table.

0:23:23.160 --> 0:23:25.840
<v Speaker 8>So then, as a strategist, what is your outlook for

0:23:25.880 --> 0:23:27.920
<v Speaker 8>the second half of the year after we had such

0:23:27.960 --> 0:23:29.639
<v Speaker 8>a strong first six months?

0:23:30.640 --> 0:23:33.240
<v Speaker 14>Yeah, absolutely, Look, it was a stellar first half of

0:23:33.280 --> 0:23:36.879
<v Speaker 14>the year with the SMP up over fourteen percent. You know,

0:23:36.920 --> 0:23:39.679
<v Speaker 14>keep in mind, there have been some positives and reasons

0:23:39.680 --> 0:23:43.200
<v Speaker 14>for optimism. The economic data is coming out ahead of expectations.

0:23:43.240 --> 0:23:46.359
<v Speaker 14>Inflation as we noted is showing signs of moderation and

0:23:46.400 --> 0:23:48.919
<v Speaker 14>the FED maybe towards the end of its rate hiking cycle.

0:23:49.359 --> 0:23:52.480
<v Speaker 14>But we'd be cautious to extrapolate that strong move higher

0:23:52.480 --> 0:23:55.000
<v Speaker 14>in the first half to a straight line up in

0:23:55.040 --> 0:23:56.960
<v Speaker 14>the second half of the year. Now, history does tell

0:23:57.040 --> 0:23:59.280
<v Speaker 14>us when you are up over ten percent the first half,

0:23:59.280 --> 0:24:02.360
<v Speaker 14>it bodes well for the second half. In our view,

0:24:02.440 --> 0:24:06.160
<v Speaker 14>we do think bouts of volatility maybe likely, especially if

0:24:06.200 --> 0:24:09.400
<v Speaker 14>the economy starts to show signs of cooling. But will

0:24:09.400 --> 0:24:13.760
<v Speaker 14>we get another bear market or meaningful downturn that we

0:24:13.960 --> 0:24:16.760
<v Speaker 14>see is unlikely at this point, and in fact, we

0:24:16.840 --> 0:24:20.680
<v Speaker 14>think those bouts of volatility could be used as opportunities,

0:24:20.800 --> 0:24:24.359
<v Speaker 14>especially as investors look towards twenty twenty four, where you

0:24:24.400 --> 0:24:29.960
<v Speaker 14>could get a meaningful bounce back in earnings, better inflation,

0:24:30.119 --> 0:24:32.120
<v Speaker 14>and have FED that not only is pausing, but they've

0:24:32.119 --> 0:24:35.040
<v Speaker 14>told us they might start thinking about pivoting lower as well.

0:24:35.640 --> 0:24:37.920
<v Speaker 14>So really want to start positioning for what we think

0:24:38.160 --> 0:24:41.960
<v Speaker 14>could be a broader based market rally and participation towards

0:24:41.960 --> 0:24:45.119
<v Speaker 14>the back half of the year, and both in equities

0:24:45.160 --> 0:24:46.520
<v Speaker 14>and in bond markets as well.

0:24:47.000 --> 0:24:49.920
<v Speaker 1>So do I think about small MidCap stocks Mona. They've

0:24:50.359 --> 0:24:53.080
<v Speaker 1>historically lagged some of the bigger cap names, but if

0:24:53.080 --> 0:24:54.720
<v Speaker 1>this thing's going to broaden that a little bit, maybe

0:24:55.040 --> 0:24:55.920
<v Speaker 1>small and midcaps.

0:24:56.920 --> 0:24:59.480
<v Speaker 14>Yeah, it's a good point. And look, small caps have

0:24:59.600 --> 0:25:01.399
<v Speaker 14>meaningful lagged in the first half of the year, so

0:25:01.440 --> 0:25:03.600
<v Speaker 14>we certainly think there is room for catchup now. When

0:25:03.640 --> 0:25:07.080
<v Speaker 14>we look historically, small caps tend to do well when

0:25:07.119 --> 0:25:10.080
<v Speaker 14>the economy is re emerging from any sort of softness

0:25:10.440 --> 0:25:12.880
<v Speaker 14>or downturn. They tend to lead on the way up.

0:25:12.960 --> 0:25:14.800
<v Speaker 10>And so when we think about what we.

0:25:14.720 --> 0:25:18.719
<v Speaker 14>Call a recovery basket, that could certainly include areas like

0:25:18.760 --> 0:25:21.680
<v Speaker 14>small cap stocks, like cyclicals, and we're starting to see

0:25:21.680 --> 0:25:26.520
<v Speaker 14>some strength in industrials, materials, perhaps even financials in that basket.

0:25:26.640 --> 0:25:29.639
<v Speaker 14>International equities tend to do well in that environment. Those

0:25:29.640 --> 0:25:33.280
<v Speaker 14>we think can compliment what we're seeing right now, because

0:25:33.280 --> 0:25:37.040
<v Speaker 14>we do think the story behind AI and growth sectors

0:25:37.280 --> 0:25:41.000
<v Speaker 14>does have a long term secular tailwind behind it, although

0:25:41.040 --> 0:25:44.200
<v Speaker 14>a lot of it has been priced very quickly upfront

0:25:44.240 --> 0:25:47.080
<v Speaker 14>as well, So we think a complement of both the

0:25:47.119 --> 0:25:49.360
<v Speaker 14>growth and the more cyclical parts of the market will

0:25:49.359 --> 0:25:51.560
<v Speaker 14>work better As we head towards twenty twenty four.

0:25:51.760 --> 0:25:53.960
<v Speaker 8>We only have about forty five seconds left. What's the

0:25:53.960 --> 0:25:55.920
<v Speaker 8>top question that you hear from clients?

0:25:57.359 --> 0:25:59.040
<v Speaker 10>Yeah, you know, I think it's still the big one.

0:25:59.080 --> 0:26:02.240
<v Speaker 14>Around recession, we tend to hear a lot more, especially

0:26:02.280 --> 0:26:05.600
<v Speaker 14>now that the Fed is continuing to raise rates. And

0:26:05.640 --> 0:26:09.040
<v Speaker 14>we do think that what we're seeing now is a

0:26:09.080 --> 0:26:12.280
<v Speaker 14>potential for cooling in the economy, but perhaps not your

0:26:12.320 --> 0:26:15.479
<v Speaker 14>typical two back to back quarters of negative GDP growth.

0:26:15.680 --> 0:26:18.920
<v Speaker 14>We think a softness to below trend growth is likely though,

0:26:19.320 --> 0:26:20.600
<v Speaker 14>sometime in the second half of the year.

0:26:21.280 --> 0:26:23.119
<v Speaker 1>All right, Mona, thank you so much for joining us.

0:26:23.119 --> 0:26:25.679
<v Speaker 1>We really appreciate getting some of your time. Mona ma Hodgen.

0:26:25.840 --> 0:26:28.920
<v Speaker 1>She's a senior investment strategist at Edward Jones.

0:26:30.320 --> 0:26:33.720
<v Speaker 11>You're listening to the team Ken's are Live program Bloomberg

0:26:33.760 --> 0:26:37.119
<v Speaker 11>Markets weekdays at ten am Eastern on Bloomberg dot Com,

0:26:37.200 --> 0:26:40.359
<v Speaker 11>the iHeartRadio app and the Bloomberg Business App, or listen

0:26:40.440 --> 0:26:42.560
<v Speaker 11>on demand wherever you get your podcasts.

0:26:44.840 --> 0:26:47.320
<v Speaker 1>Threads is a thing. I'm there for what it's worth starting.

0:26:47.560 --> 0:26:49.440
<v Speaker 1>Let's take a little tech round table here. Let's bring

0:26:49.480 --> 0:26:52.800
<v Speaker 1>in Deep Seing. He covers the tech for Bloomberg Intelligence

0:26:52.880 --> 0:26:57.240
<v Speaker 1>and Ed Ludlow. After a very difficult zoom situation this morning.

0:26:57.240 --> 0:27:00.399
<v Speaker 1>He is our technology guy out in San Francisco, joints

0:27:00.440 --> 0:27:01.679
<v Speaker 1>US as well, so we got it all.

0:27:01.560 --> 0:27:05.359
<v Speaker 3>Covered for you. Mandie. Let's start with you here in

0:27:05.400 --> 0:27:06.200
<v Speaker 3>our studio here.

0:27:07.240 --> 0:27:08.959
<v Speaker 1>What is Metal looking to do here? Is this going

0:27:09.000 --> 0:27:11.560
<v Speaker 1>to be a business for them? Is this a real

0:27:11.600 --> 0:27:13.600
<v Speaker 1>competitor for Twitter? To just give us the business case.

0:27:14.000 --> 0:27:16.919
<v Speaker 6>The business case is they want to add that dimension

0:27:16.960 --> 0:27:20.480
<v Speaker 6>of real time public conversations that are going on related

0:27:20.520 --> 0:27:24.920
<v Speaker 6>to politics, related to breaking news, and that weren't happening

0:27:24.960 --> 0:27:28.080
<v Speaker 6>on Instagram. Probably they were happening on Core Blue app.

0:27:28.080 --> 0:27:31.280
<v Speaker 6>But they've been losing engagement, so it's an engagement play

0:27:31.359 --> 0:27:34.720
<v Speaker 6>for them to keep users on their family of apps,

0:27:34.720 --> 0:27:37.320
<v Speaker 6>and they've done a great job of adding reels content.

0:27:37.920 --> 0:27:40.560
<v Speaker 6>This is another dimension. And look, they don't need to

0:27:40.600 --> 0:27:43.840
<v Speaker 6>focus on monetization right now. If they're able to get

0:27:43.840 --> 0:27:47.040
<v Speaker 6>that engagement in terms of getting the core creators from

0:27:47.119 --> 0:27:50.120
<v Speaker 6>Twitter to threads, that'll be a big win for them.

0:27:50.600 --> 0:27:53.880
<v Speaker 8>And is this likely to be a big player here

0:27:54.040 --> 0:27:55.800
<v Speaker 8>or what kind of hurdles are ahead for it?

0:27:56.200 --> 0:27:59.040
<v Speaker 6>Well, the hurdles is, you know, the interest graph and

0:27:59.160 --> 0:28:02.960
<v Speaker 6>the followers that Twitter has over the course of their

0:28:03.359 --> 0:28:07.479
<v Speaker 6>last fifteen twenty years. You know, people have accumulated their

0:28:07.880 --> 0:28:11.160
<v Speaker 6>followers and they like to see a certain curated feed

0:28:11.240 --> 0:28:14.840
<v Speaker 6>when it comes to the home screen. Well, right now,

0:28:14.840 --> 0:28:17.879
<v Speaker 6>when you go to Threads, they have an AI generated

0:28:17.920 --> 0:28:20.240
<v Speaker 6>feed and there are a lot of brands and I've

0:28:20.280 --> 0:28:22.440
<v Speaker 6>tried to you know, viewed a lot of them. I mean,

0:28:22.520 --> 0:28:24.560
<v Speaker 6>that's not the experience you want to have. And that's

0:28:24.600 --> 0:28:27.920
<v Speaker 6>where scale and network effects is what drives social media

0:28:28.000 --> 0:28:32.200
<v Speaker 6>engagement and early movers have always had an advantage. What

0:28:32.240 --> 0:28:35.480
<v Speaker 6>TikTok did was great in terms of leveraging AI to

0:28:35.680 --> 0:28:39.440
<v Speaker 6>come up with great recommendations. That is the playbook here

0:28:39.480 --> 0:28:42.760
<v Speaker 6>for Meta is to use their user graph as well

0:28:42.800 --> 0:28:45.560
<v Speaker 6>as AI to drive the curated content feed.

0:28:45.640 --> 0:28:48.160
<v Speaker 3>All right, Ed, When I think of cutting edge technology,

0:28:48.160 --> 0:28:49.120
<v Speaker 3>I think of Ed Ludlow.

0:28:49.360 --> 0:28:52.720
<v Speaker 1>I think Silicon Valley is Silicon Valley out there in

0:28:52.760 --> 0:28:56.320
<v Speaker 1>San Francisco. Ed, what's the buzz if anything out there

0:28:56.360 --> 0:28:59.120
<v Speaker 1>in the valley about what our good friends at Facebook

0:28:59.160 --> 0:28:59.880
<v Speaker 1>are trying to do here?

0:29:00.680 --> 0:29:03.200
<v Speaker 15>Yeah, and the adoption has been really interesting to track.

0:29:03.440 --> 0:29:06.920
<v Speaker 15>I was signed up to Threads as us the number

0:29:06.920 --> 0:29:10.120
<v Speaker 15>one hundred and thirty, two thousand and nine. Wow. So

0:29:10.160 --> 0:29:12.800
<v Speaker 15>I made it in in the initial batch. I mean

0:29:12.800 --> 0:29:15.920
<v Speaker 15>it's Bloomberg's tech editor Sarah Fryer was like number two thousand.

0:29:16.760 --> 0:29:19.720
<v Speaker 15>You know, overnight she's a player, and overnight we hit

0:29:19.760 --> 0:29:22.000
<v Speaker 15>the ten million mark. And my understanding is that we're

0:29:22.080 --> 0:29:25.840
<v Speaker 15>closer now to thirty million users on the platform. But

0:29:26.000 --> 0:29:29.360
<v Speaker 15>I find Mandya's commentary really interesting. There are clearly ux

0:29:29.440 --> 0:29:33.360
<v Speaker 15>differences right between what you get on the threads platform

0:29:33.360 --> 0:29:36.480
<v Speaker 15>what you get on Twitter. It's very simplified right now.

0:29:36.480 --> 0:29:38.280
<v Speaker 15>There are a few, you know, there's no sort of

0:29:38.360 --> 0:29:41.600
<v Speaker 15>ad stream on it. The biggest piece of use for

0:29:41.640 --> 0:29:43.200
<v Speaker 15>me in the last twenty four hours was a post

0:29:43.200 --> 0:29:47.280
<v Speaker 15>by Zuckerberg basically suggesting that a billion users is possible,

0:29:47.880 --> 0:29:51.120
<v Speaker 15>and you know, to jump from thirty million to a billion,

0:29:51.760 --> 0:29:54.320
<v Speaker 15>you know, I think a number of SALSIH analysts this

0:29:54.400 --> 0:29:58.680
<v Speaker 15>morning kind of see difficulty in getting to that scale.

0:29:58.720 --> 0:30:03.040
<v Speaker 15>But think about it this way, Facebook, WhatsApp, Instagram, if

0:30:03.080 --> 0:30:06.200
<v Speaker 15>Meta onboarded just one out of every ten users on

0:30:06.280 --> 0:30:10.800
<v Speaker 15>its existing platforms, it would already eclipse what Twitter's monthly

0:30:11.120 --> 0:30:14.600
<v Speaker 15>or installed active user bases. So you can kind of

0:30:14.600 --> 0:30:17.640
<v Speaker 15>see them eclipsing Twitter a billion hard to.

0:30:17.560 --> 0:30:21.560
<v Speaker 8>See men deep something I'm curious about is, especially when

0:30:21.600 --> 0:30:23.760
<v Speaker 8>you think of Meta and the cost cutting efforts that

0:30:23.800 --> 0:30:25.880
<v Speaker 8>it has clearly gone through, and it stocks up more

0:30:25.880 --> 0:30:29.320
<v Speaker 8>than two hundred percent since early November, how much could

0:30:29.320 --> 0:30:32.520
<v Speaker 8>this potentially either support that stock price or is it

0:30:32.560 --> 0:30:34.200
<v Speaker 8>just too early to be seen when you're looking at

0:30:34.240 --> 0:30:34.720
<v Speaker 8>cell side.

0:30:35.280 --> 0:30:39.360
<v Speaker 6>Well, so, in terms of incremental revenue, I think, look,

0:30:39.400 --> 0:30:41.960
<v Speaker 6>this is not going to move the stock a Twitter

0:30:42.040 --> 0:30:45.640
<v Speaker 6>had revenue of you know, around six billion when before

0:30:45.640 --> 0:30:48.920
<v Speaker 6>they went private, and even if they are losing revenue

0:30:49.200 --> 0:30:54.520
<v Speaker 6>and you know, Meta can lier ads over time, You're

0:30:54.600 --> 0:30:57.920
<v Speaker 6>not buying the stock here with the hope that you know,

0:30:58.440 --> 0:31:01.360
<v Speaker 6>this product is going to generate two three billion dollars

0:31:01.400 --> 0:31:05.040
<v Speaker 6>in incremental revenue. But what it can do is drive

0:31:05.120 --> 0:31:08.920
<v Speaker 6>that engagement because ultimately, if you go to Twitter right now,

0:31:09.120 --> 0:31:12.520
<v Speaker 6>their average time spent per user is around twenty seven

0:31:12.560 --> 0:31:15.960
<v Speaker 6>to thirty minutes every day for the daily active users.

0:31:16.240 --> 0:31:19.600
<v Speaker 6>If they can take a share of that, that'll be huge. Again,

0:31:19.720 --> 0:31:22.840
<v Speaker 6>the cumulative effect of social media when you think about

0:31:22.920 --> 0:31:26.440
<v Speaker 6>you know, meta is what people spend their time on

0:31:26.600 --> 0:31:30.280
<v Speaker 6>the core blue app, Instagram and WhatsApp. You add another

0:31:30.360 --> 0:31:33.560
<v Speaker 6>dimension to it. It helps with their AI it helps

0:31:33.600 --> 0:31:36.880
<v Speaker 6>with the overall advertisers, and that is what meta is

0:31:36.920 --> 0:31:37.480
<v Speaker 6>after here.

0:31:38.360 --> 0:31:40.840
<v Speaker 1>All right, So, Ed, what's the feeling in the valley

0:31:40.880 --> 0:31:44.400
<v Speaker 1>about Elon Musk. What's his response going to be? What's

0:31:44.400 --> 0:31:47.480
<v Speaker 1>the future of Twitter? How do you think this plays up?

0:31:48.720 --> 0:31:48.920
<v Speaker 5>You know?

0:31:49.800 --> 0:31:52.360
<v Speaker 1>He Oh, by the way, I just did my first

0:31:52.400 --> 0:31:55.600
<v Speaker 1>post on threads telling people to go to YouTube to

0:31:55.640 --> 0:31:56.800
<v Speaker 1>watch our streaming.

0:31:57.120 --> 0:31:59.640
<v Speaker 3>So I am multidad. I will tasking out.

0:31:59.640 --> 0:32:02.560
<v Speaker 15>I will I will repost that. Just give me a second.

0:32:02.720 --> 0:32:05.440
<v Speaker 15>I'm on air with you right now. Look, I mean

0:32:05.440 --> 0:32:09.120
<v Speaker 15>Elon's tweeted. He said it is infinitely preferable to be

0:32:09.160 --> 0:32:12.480
<v Speaker 15>attacked by strangers on Twitter then indulge in the false

0:32:12.520 --> 0:32:15.880
<v Speaker 15>happiness of hide the pain Instagram. And I think his

0:32:16.080 --> 0:32:20.240
<v Speaker 15>point is that historically Instagram is a photo based app

0:32:20.280 --> 0:32:22.600
<v Speaker 15>where you give the perception that your life is very

0:32:22.600 --> 0:32:27.840
<v Speaker 15>different to reality. I guess from a happiness perspective. Linda Yakarino,

0:32:27.920 --> 0:32:31.240
<v Speaker 15>who is the new Twitter CEO, has tweeted in the

0:32:31.280 --> 0:32:34.760
<v Speaker 15>last thirty minutes. I wouldn't call it cryptic, but I

0:32:34.760 --> 0:32:37.920
<v Speaker 15>would say that she really emphasizes what she feels is

0:32:37.920 --> 0:32:41.880
<v Speaker 15>good about Twitter. She doesn't specifically name or call out threads,

0:32:42.800 --> 0:32:44.680
<v Speaker 15>but you know, they're essentially the same thing. I'm a

0:32:44.680 --> 0:32:46.840
<v Speaker 15>big meme guy, and you guys will have seen that

0:32:46.960 --> 0:32:51.920
<v Speaker 15>Zuckerberg tweeted. He did his first tweet in since twenty twelve,

0:32:51.960 --> 0:32:55.239
<v Speaker 15>eleven years, and it's the classic Spider Man pointing at

0:32:55.240 --> 0:32:58.320
<v Speaker 15>Spider Man. The reference to episode nineteen B at the

0:32:58.400 --> 0:33:02.880
<v Speaker 15>nineteen sixty seven animated series is called double identity. They're

0:33:02.920 --> 0:33:05.640
<v Speaker 15>the same platform, and I you know, Mandy may disagree

0:33:05.640 --> 0:33:08.080
<v Speaker 15>with me, but to all intents and purposes, they're the same.

0:33:08.120 --> 0:33:13.400
<v Speaker 15>And that's probably ahead of the cage match upset, mister Musk.

0:33:13.840 --> 0:33:16.280
<v Speaker 8>So do you think that it's likely that Meadow would

0:33:16.280 --> 0:33:19.720
<v Speaker 8>be able to take a big chunk of users when

0:33:19.720 --> 0:33:21.800
<v Speaker 8>it comes to Twitter? Obviously, as you know, there's been

0:33:21.840 --> 0:33:24.160
<v Speaker 8>problems that Elon has had to go through when it

0:33:24.160 --> 0:33:26.080
<v Speaker 8>comes to the Twitter platform over the past year.

0:33:26.880 --> 0:33:28.520
<v Speaker 15>Oh thank goodness. I thought you were going to ask,

0:33:28.640 --> 0:33:31.400
<v Speaker 15>is it likely that Muskan Zuckerberg actually like each other

0:33:31.440 --> 0:33:36.320
<v Speaker 15>in a cage? You know, I think that what I

0:33:36.480 --> 0:33:39.400
<v Speaker 15>noticed anecdotally. I was on it for hours yesterday. It

0:33:39.440 --> 0:33:42.360
<v Speaker 15>was a bit cringe fair. I sent many threads. I

0:33:42.400 --> 0:33:44.680
<v Speaker 15>really engaged with people. A lot of what people were

0:33:44.680 --> 0:33:48.320
<v Speaker 15>talking about is that they wanted the tone of Threads

0:33:48.760 --> 0:33:51.520
<v Speaker 15>to be a pleasant place, a nice place, and many

0:33:51.560 --> 0:33:54.680
<v Speaker 15>of them explicitly referenced the idea that they felt that

0:33:54.760 --> 0:33:58.000
<v Speaker 15>Twitter was not that way. And so you know, this

0:33:58.160 --> 0:34:00.280
<v Speaker 15>is also playing out on Twitter in parallel, by the way,

0:34:00.320 --> 0:34:02.680
<v Speaker 15>the irony lots of people on Twitter are talking about

0:34:02.960 --> 0:34:05.720
<v Speaker 15>you're only going to threads as a vote against Musk

0:34:05.800 --> 0:34:09.160
<v Speaker 15>himself because you don't like him or his personality. I don't.

0:34:09.280 --> 0:34:12.520
<v Speaker 15>It's how can any of us quantify what kind of

0:34:13.080 --> 0:34:16.920
<v Speaker 15>driver that will be for Thread's growth. I think Mandy's

0:34:16.920 --> 0:34:19.759
<v Speaker 15>points on the future of the content on the on

0:34:19.800 --> 0:34:21.160
<v Speaker 15>the Threads platform is the key bit.

0:34:21.480 --> 0:34:24.440
<v Speaker 1>Hey, let's just quick change gears here. I know you

0:34:24.440 --> 0:34:26.719
<v Speaker 1>spoke with the CEO of Rivian yesterday, Ed, what's the

0:34:27.000 --> 0:34:27.799
<v Speaker 1>key takeaway there?

0:34:28.760 --> 0:34:31.439
<v Speaker 15>Yeah, I mean two pieces of news. One, the court

0:34:31.440 --> 0:34:34.120
<v Speaker 15>has just gone is the first time the supply chains normalized,

0:34:34.160 --> 0:34:37.080
<v Speaker 15>and that was evidence by their output. They've made some

0:34:37.120 --> 0:34:39.799
<v Speaker 15>tech fixes and they're really starting to ramp now and

0:34:40.200 --> 0:34:43.839
<v Speaker 15>they basically suggested that they will outperform their guidance, which

0:34:43.880 --> 0:34:46.279
<v Speaker 15>would be interesting. Professor's The other is there that he

0:34:46.320 --> 0:34:48.520
<v Speaker 15>told me they're trying to negotiate with Amazon to get

0:34:48.560 --> 0:34:51.760
<v Speaker 15>out of the Amazon's exclusivity to buy the commercial vans

0:34:51.760 --> 0:34:54.160
<v Speaker 15>from Ribbean. So they say that those talks are going

0:34:54.200 --> 0:34:57.080
<v Speaker 15>well and that if there's a successful Ribbean can start

0:34:57.080 --> 0:35:00.200
<v Speaker 15>selling these electric delivery bands that other players and and

0:35:00.239 --> 0:35:03.480
<v Speaker 15>as we know from this program, right, electrifying last mail

0:35:03.520 --> 0:35:07.200
<v Speaker 15>delivery in the logistics space is a big market opportunity.

0:35:07.280 --> 0:35:08.759
<v Speaker 15>So that was a really good takeaway. Check it out

0:35:08.760 --> 0:35:09.680
<v Speaker 15>on Bloomberg dot com.

0:35:09.719 --> 0:35:11.560
<v Speaker 1>All right, great stuff at Ed Ludlow doing all the

0:35:11.600 --> 0:35:15.759
<v Speaker 1>tech stuff for Bloomberg Technology and Bloomberg News out there

0:35:15.760 --> 0:35:18.160
<v Speaker 1>in San Francisco. Man, you've seen, of course senior technology

0:35:18.200 --> 0:35:19.920
<v Speaker 1>channels for Bloomberg Intelligence.

0:35:20.200 --> 0:35:23.320
<v Speaker 11>You're listening to the tape catch are live program Bloomberg

0:35:23.400 --> 0:35:26.960
<v Speaker 11>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:35:27.040 --> 0:35:29.000
<v Speaker 11>tune in app, Bloomberg dot Com, and.

0:35:28.960 --> 0:35:30.279
<v Speaker 13>The Bloomberg Business app.

0:35:30.320 --> 0:35:33.120
<v Speaker 11>You can also listen live on Amazon Alexa from our

0:35:33.160 --> 0:35:38.160
<v Speaker 11>flagship New York station. Just say Alexa, play Bloomberg eleven thirty.

0:35:40.120 --> 0:35:43.239
<v Speaker 1>This is not necessarily tech, but you think about the

0:35:43.280 --> 0:35:45.520
<v Speaker 1>tech enabled boxes that end up on your front door

0:35:45.600 --> 0:35:47.839
<v Speaker 1>every single day, and everybody knows what I'm talking about

0:35:48.200 --> 0:35:50.400
<v Speaker 1>let's get a sense of like the business of the

0:35:50.440 --> 0:35:53.759
<v Speaker 1>box business, Ryan Fox. He covers a carrogated market for

0:35:53.840 --> 0:35:58.080
<v Speaker 1>Bloomberg Intelligence. So Ryan, give us a sense of just

0:35:58.880 --> 0:36:00.960
<v Speaker 1>kind of the stuff you covered, DoD Me just give

0:36:01.000 --> 0:36:03.680
<v Speaker 1>us a sense of the industry that we all touch

0:36:03.719 --> 0:36:05.640
<v Speaker 1>every day because it lands on our doorstep every day.

0:36:06.520 --> 0:36:08.480
<v Speaker 16>Yeah, so the average American is going to call it

0:36:08.480 --> 0:36:10.960
<v Speaker 16>a cardboard box. In the industry, we call it a

0:36:11.000 --> 0:36:16.800
<v Speaker 16>corrugated box, nice anadetically, like ninety five percent of consumer

0:36:16.840 --> 0:36:19.759
<v Speaker 16>goods right in these boxes every day. So it's a

0:36:19.880 --> 0:36:22.200
<v Speaker 16>very good indicator of what's going on in the economy.

0:36:23.040 --> 0:36:26.360
<v Speaker 16>And well, for the last year, we've seen a gradual

0:36:26.400 --> 0:36:30.839
<v Speaker 16>decline in box shipments by producers of those boxes going

0:36:30.880 --> 0:36:32.880
<v Speaker 16>to brands who.

0:36:32.680 --> 0:36:34.280
<v Speaker 8>Are the main players in that space.

0:36:35.320 --> 0:36:38.440
<v Speaker 16>Yeah, many players are going to be International Paper West

0:36:38.520 --> 0:36:41.440
<v Speaker 16>Rock Packaging Corp. At least domestically here in the US.

0:36:41.800 --> 0:36:45.040
<v Speaker 8>And you mentioned a slow down. What was the catalyst

0:36:45.120 --> 0:36:47.960
<v Speaker 8>to that in what would that also mean for the

0:36:48.000 --> 0:36:49.239
<v Speaker 8>trajectory of the economy.

0:36:50.280 --> 0:36:55.399
<v Speaker 16>Yeah, So initially the slowdown, it was linked to these

0:36:56.040 --> 0:36:58.279
<v Speaker 16>the de stocking narrative that's been going on for about

0:36:58.280 --> 0:37:01.239
<v Speaker 16>the last year. Most of the producers are saying their

0:37:01.360 --> 0:37:06.080
<v Speaker 16>customers were pushing back, that they had plenty of inventory.

0:37:07.600 --> 0:37:10.359
<v Speaker 16>Things weren't moving very quickly, and some of it we

0:37:10.400 --> 0:37:15.239
<v Speaker 16>saw in our data. We saw that first quarter of

0:37:15.320 --> 0:37:19.560
<v Speaker 16>twenty twenty two, lead times to get boxes went out

0:37:20.000 --> 0:37:24.000
<v Speaker 16>on average like four and five weeks, And this was

0:37:24.080 --> 0:37:27.279
<v Speaker 16>a huge departure from the norm. The average lead time

0:37:27.280 --> 0:37:29.760
<v Speaker 16>to get boxes is like three to five business days,

0:37:30.040 --> 0:37:32.440
<v Speaker 16>so to have something about five weeks on average was

0:37:32.600 --> 0:37:35.719
<v Speaker 16>just astronomical. So when you think about a manufacturer and

0:37:35.760 --> 0:37:38.359
<v Speaker 16>how they have to place their orders, this caused them

0:37:38.360 --> 0:37:43.040
<v Speaker 16>to change their ordering. Some manufacturers during the pandemic had

0:37:43.040 --> 0:37:47.880
<v Speaker 16>even gone to AI platforms that were initiating automatic orders

0:37:47.920 --> 0:37:50.640
<v Speaker 16>even when they maybe didn't need them, and so at

0:37:50.680 --> 0:37:53.320
<v Speaker 16>some point in the second quarter they found themselves sitting

0:37:53.360 --> 0:37:56.160
<v Speaker 16>on a lot of boxes that they didn't really need.

0:37:56.680 --> 0:37:59.640
<v Speaker 16>And so producers saw that slowdown at the end of

0:37:59.680 --> 0:38:03.240
<v Speaker 16>the second quarter going into the midyear, and it really

0:38:03.239 --> 0:38:04.319
<v Speaker 16>just slowed down from there.

0:38:04.960 --> 0:38:08.320
<v Speaker 1>All right, but where are we now versus pre pandemic.

0:38:08.400 --> 0:38:12.239
<v Speaker 1>There's a lot more boxes out there, right, Uh, well,

0:38:13.280 --> 0:38:15.359
<v Speaker 1>I'm getting so many a day.

0:38:15.760 --> 0:38:16.040
<v Speaker 13>All right.

0:38:16.080 --> 0:38:19.799
<v Speaker 3>Here's my thing. I'm really good at breaking down the

0:38:19.840 --> 0:38:21.520
<v Speaker 3>box as soon as it comes in and we empty it.

0:38:21.640 --> 0:38:23.960
<v Speaker 1>I'm breaking that box down. I'm the opposite, and I'm

0:38:24.000 --> 0:38:26.799
<v Speaker 1>putting it in recycling. But really it's got to be

0:38:26.840 --> 0:38:28.320
<v Speaker 1>like way higher than pre pandemic.

0:38:29.280 --> 0:38:33.359
<v Speaker 16>No, So we're actually after the first quarter we were

0:38:33.400 --> 0:38:37.200
<v Speaker 16>tracking with twenty seventeen as far as the volume of

0:38:37.239 --> 0:38:41.040
<v Speaker 16>boxes it was going out. Our data indicates that through

0:38:41.080 --> 0:38:44.319
<v Speaker 16>the second quarter we're probably still on that pace, maybe

0:38:44.360 --> 0:38:47.360
<v Speaker 16>even a little bit behind there, and it's not looking

0:38:47.360 --> 0:38:48.560
<v Speaker 16>good going in the second half.

0:38:48.680 --> 0:38:51.480
<v Speaker 1>Really, wow, I never would have guessed that, Hey, go

0:38:51.680 --> 0:38:54.000
<v Speaker 1>following up on that, because I'm a big recycler, and

0:38:54.040 --> 0:38:55.800
<v Speaker 1>I think this is every time I break down a

0:38:55.840 --> 0:38:57.759
<v Speaker 1>box and put it into recycond I feel like I

0:38:57.840 --> 0:38:59.359
<v Speaker 1>might be part of a scam here that it doesn't

0:38:59.400 --> 0:39:02.560
<v Speaker 1>want to work. Tell us how the industry recycles boxes

0:39:02.560 --> 0:39:03.000
<v Speaker 1>and stuff.

0:39:03.840 --> 0:39:07.920
<v Speaker 16>Sure, So, first of all, about over ninety percent of

0:39:07.960 --> 0:39:10.600
<v Speaker 16>all of the recycled boxes that we get, and really

0:39:10.640 --> 0:39:13.040
<v Speaker 16>all recycled commodities are going to come from commercial and

0:39:13.080 --> 0:39:16.080
<v Speaker 16>industrial sectors. So we're going to be thinking about Walmart's

0:39:16.080 --> 0:39:19.520
<v Speaker 16>and Kroger's and Albertson's and big retailers like that. That's

0:39:19.640 --> 0:39:22.760
<v Speaker 16>where most of the old what we call old quirdated

0:39:22.800 --> 0:39:27.440
<v Speaker 16>cartons or OCC, that's where they come from. Curbside recycling

0:39:27.640 --> 0:39:32.440
<v Speaker 16>is really not great. It's about seven to eight percent

0:39:32.440 --> 0:39:36.000
<v Speaker 16>of the total, and it represents about two million tons

0:39:36.040 --> 0:39:39.560
<v Speaker 16>a year. Americans just aren't great at recycling.

0:39:39.840 --> 0:39:42.040
<v Speaker 3>I'm really good at it, but I just so does

0:39:42.080 --> 0:39:45.920
<v Speaker 3>International Paper take my box and then redo it and

0:39:45.920 --> 0:39:46.640
<v Speaker 3>send it back out to me?

0:39:46.719 --> 0:39:48.920
<v Speaker 8>That's what I was curious about, because do they do that?

0:39:49.160 --> 0:39:52.200
<v Speaker 8>Or also are there renewable basic materials that go into

0:39:52.239 --> 0:39:54.360
<v Speaker 8>tissues and other personal care products?

0:39:54.960 --> 0:39:59.560
<v Speaker 16>Yeah, so OCC is a very highly sought commodity. It's

0:40:00.320 --> 0:40:02.880
<v Speaker 16>we export about ten million tons a year of to

0:40:03.080 --> 0:40:07.360
<v Speaker 16>other countries, but internally, we consume about twenty five million

0:40:07.400 --> 0:40:11.200
<v Speaker 16>tons of old corgated boxes every single year, and we

0:40:11.239 --> 0:40:15.160
<v Speaker 16>make new boxes out of them.

0:40:15.320 --> 0:40:17.040
<v Speaker 3>Do I play these stocks? Do? I? I mean, do

0:40:17.120 --> 0:40:20.480
<v Speaker 3>I play it on? I mean, if I'm Mike, is

0:40:20.560 --> 0:40:23.400
<v Speaker 3>my call on International Paper? Just how much stuff is

0:40:23.440 --> 0:40:24.600
<v Speaker 3>getting shipped around the world.

0:40:27.239 --> 0:40:33.120
<v Speaker 16>That's a great question. I mean, I don't know, I

0:40:33.120 --> 0:40:36.920
<v Speaker 16>don't know the right answer to that. They're they're traditionally

0:40:37.400 --> 0:40:40.319
<v Speaker 16>very very stable companies. I mean, like I said, with

0:40:40.400 --> 0:40:43.520
<v Speaker 16>ninety five percent of the world's goods that consumers buy

0:40:43.640 --> 0:40:45.880
<v Speaker 16>riding in these boxes. It's it's not like they're going

0:40:45.960 --> 0:40:47.120
<v Speaker 16>to go away anytime soon.

0:40:47.280 --> 0:40:49.760
<v Speaker 3>Yeah, I mean, I don't know just about my household.

0:40:49.800 --> 0:40:52.160
<v Speaker 1>It just seems like, you know, Tom Keane's always complaining

0:40:52.160 --> 0:40:53.560
<v Speaker 1>about you know, his doormans.

0:40:53.600 --> 0:40:54.880
<v Speaker 13>What are you getting delivery?

0:40:55.160 --> 0:40:59.040
<v Speaker 3>I don't know. It's it's shampoo comes. I mean, you

0:40:59.160 --> 0:41:01.680
<v Speaker 3>don't go to the store anymore. You just click. It's crazy.

0:41:01.760 --> 0:41:02.680
<v Speaker 3>So I don't know what's.

0:41:02.520 --> 0:41:04.960
<v Speaker 16>Going on, all right, So we did some math on

0:41:05.000 --> 0:41:07.279
<v Speaker 16>it and the average America. So if we were to

0:41:07.280 --> 0:41:09.680
<v Speaker 16>take the volume of boxes that are made in average year,

0:41:09.760 --> 0:41:13.399
<v Speaker 16>divided equally across everybody in the country, it's about twelve

0:41:13.480 --> 0:41:15.319
<v Speaker 16>hundred square feet per person per year.

0:41:15.920 --> 0:41:18.920
<v Speaker 1>So there, Well, I'm telling you all right, Ryan, thanks

0:41:18.960 --> 0:41:21.359
<v Speaker 1>so much for joining us, Ryan Fox, he is thanks.

0:41:21.440 --> 0:41:24.480
<v Speaker 1>Corgated market analysts with Bloomberg Intelligence.

0:41:25.080 --> 0:41:26.799
<v Speaker 3>Learned a lot there. But I don't know. I feel

0:41:26.800 --> 0:41:29.439
<v Speaker 3>like I'm a good recycler, but you know, Ryan's telling

0:41:29.440 --> 0:41:30.879
<v Speaker 3>me that I'm just it's not that big a deal.

0:41:30.960 --> 0:41:32.760
<v Speaker 8>Think I'm ordering I'm Juney boxes.

0:41:33.400 --> 0:41:36.080
<v Speaker 3>I'm not moving the needle. But anyway, good stuff. To

0:41:36.120 --> 0:41:37.520
<v Speaker 3>catch up on that part of the business.

0:41:37.640 --> 0:41:40.759
<v Speaker 11>You're listening to the tape Cat's are Live program Bloomberg

0:41:40.840 --> 0:41:44.440
<v Speaker 11>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:41:44.480 --> 0:41:46.560
<v Speaker 11>tune in app, Bloomberg dot Com.

0:41:46.280 --> 0:41:47.719
<v Speaker 13>And the Bloomberg Business App.

0:41:47.760 --> 0:41:50.560
<v Speaker 11>You can also listen live on Amazon Alexa from our

0:41:50.560 --> 0:41:54.960
<v Speaker 11>flagship New York station Just Say Alexa, playing Bloomberg eleven thirty.

0:41:57.200 --> 0:41:59.040
<v Speaker 1>Just met and Paul sween here in a Bloomberg Interactive

0:41:59.080 --> 0:42:02.160
<v Speaker 1>Brokers studio. This week, the Supreme Court struck down the

0:42:02.160 --> 0:42:05.239
<v Speaker 1>Biden administration's student loan forgiveness plan, which would have done

0:42:05.239 --> 0:42:09.080
<v Speaker 1>away with it as much as twenty thousand dollars per borrower.

0:42:09.880 --> 0:42:13.040
<v Speaker 1>And remember, House also used the deal to raise the

0:42:13.120 --> 0:42:15.920
<v Speaker 1>nation's debt sailing to force borrowers to start paying back

0:42:15.960 --> 0:42:18.320
<v Speaker 1>their loans in October, which is sooner than planned. So

0:42:18.360 --> 0:42:20.960
<v Speaker 1>it's really tough on that student loan forgiveness front. Let's

0:42:20.960 --> 0:42:23.240
<v Speaker 1>get the latest on what that could beat economically. We

0:42:23.239 --> 0:42:27.320
<v Speaker 1>welcome Claudia Sam, founder of Some Consulting, former senior economist

0:42:27.400 --> 0:42:30.279
<v Speaker 1>at the White House Council of Economic Advisors, so she

0:42:30.360 --> 0:42:31.600
<v Speaker 1>knows about this policy stuff.

0:42:31.800 --> 0:42:33.359
<v Speaker 3>Laudia, thanks so much for joining us here.

0:42:33.719 --> 0:42:36.359
<v Speaker 1>Give us your view of what kind of we saw

0:42:36.400 --> 0:42:38.399
<v Speaker 1>from the Supreme Court and from Congress over the last

0:42:38.440 --> 0:42:40.960
<v Speaker 1>couple of weeks as it relates to student debt and

0:42:41.000 --> 0:42:42.359
<v Speaker 1>loan forgiveness and that type of thing.

0:42:44.520 --> 0:42:47.239
<v Speaker 17>Student loan forgiveness not making it through the Supreme Court.

0:42:47.280 --> 0:42:49.360
<v Speaker 17>I don't think that should be a surprise to anyone

0:42:49.800 --> 0:42:53.920
<v Speaker 17>using executive powers to do four hundred billion in spending,

0:42:54.440 --> 0:42:56.799
<v Speaker 17>and yet it came. This was the second of two

0:42:56.840 --> 0:43:01.520
<v Speaker 17>blows to student borrowers this uh that week, and you

0:43:01.600 --> 0:43:05.480
<v Speaker 17>mentioned in the repayments start sooner and for a lot

0:43:05.480 --> 0:43:07.680
<v Speaker 17>of people that is going to be a hardship, right,

0:43:07.760 --> 0:43:10.600
<v Speaker 17>like for you know, the time that they've not been paying.

0:43:10.680 --> 0:43:12.000
<v Speaker 9>That really eased up some space.

0:43:12.600 --> 0:43:16.319
<v Speaker 17>It's coming back somewhat sooner than the administration said it

0:43:16.360 --> 0:43:18.719
<v Speaker 17>was going to end too. But this is this is earlier,

0:43:19.800 --> 0:43:23.000
<v Speaker 17>so you're not getting this the forgiveness to help smooth

0:43:23.040 --> 0:43:25.359
<v Speaker 17>over the period of adjusting, and you are getting your

0:43:25.360 --> 0:43:28.840
<v Speaker 17>payments back sooner. So there's you know, it was not

0:43:29.040 --> 0:43:32.640
<v Speaker 17>a good couple of weeks for people with student loans.

0:43:33.600 --> 0:43:36.400
<v Speaker 8>So with interest beginning to accrue in August and then

0:43:36.440 --> 0:43:39.560
<v Speaker 8>those payments needing to be paid in October. How does

0:43:39.600 --> 0:43:44.040
<v Speaker 8>that affect consumer spending? And obviously the trajectory of the economy.

0:43:45.239 --> 0:43:49.600
<v Speaker 17>Right, So it's clearly not good for the for the economy.

0:43:49.719 --> 0:43:53.719
<v Speaker 17>It is the case that you know, the people themselves

0:43:53.719 --> 0:43:56.480
<v Speaker 17>who are in these situations have student loans. This deeply

0:43:56.520 --> 0:44:00.440
<v Speaker 17>affects them. And yet the amount of money we're talking about,

0:44:00.480 --> 0:44:03.759
<v Speaker 17>like the new payments, it's really not the kind of

0:44:03.800 --> 0:44:07.200
<v Speaker 17>magnitudes that really move the needle on GDP, like in

0:44:07.239 --> 0:44:09.120
<v Speaker 17>the sense that oh, this would or demand and make

0:44:09.160 --> 0:44:10.960
<v Speaker 17>it like, oh, the Fed doesn't have to do as

0:44:11.000 --> 0:44:15.120
<v Speaker 17>much because these payments are expiring. So I think with

0:44:15.239 --> 0:44:20.360
<v Speaker 17>this policy, the macro lens is less important than the

0:44:20.400 --> 0:44:22.839
<v Speaker 17>people side of it.

0:44:22.880 --> 0:44:25.760
<v Speaker 1>Isn't there already something along the lines of the Public

0:44:25.800 --> 0:44:28.279
<v Speaker 1>Service Loan Forgiveness program? Can you tell us with that

0:44:28.520 --> 0:44:31.400
<v Speaker 1>is how that works and how that might you know,

0:44:31.480 --> 0:44:34.000
<v Speaker 1>help more people kind of deal with their student debt.

0:44:34.440 --> 0:44:36.480
<v Speaker 17>You know, In my piece I made the point is like, look,

0:44:36.480 --> 0:44:38.719
<v Speaker 17>we're at a time where you've got a moment of

0:44:38.760 --> 0:44:41.719
<v Speaker 17>reflection and how you go forward. President Biden said he's

0:44:41.760 --> 0:44:43.640
<v Speaker 17>going to try and keep figuring out how to do this,

0:44:44.239 --> 0:44:46.239
<v Speaker 17>and it's also a time where they could take stock

0:44:46.320 --> 0:44:49.080
<v Speaker 17>and say, hey, let's look at some other forgiveness programs,

0:44:49.280 --> 0:44:51.799
<v Speaker 17>what didn't go well, what did go well? And the

0:44:51.840 --> 0:44:54.719
<v Speaker 17>one example that I talk about are these the debt

0:44:54.760 --> 0:44:58.360
<v Speaker 17>forgiveness to people who work in a public service of

0:44:58.400 --> 0:44:58.839
<v Speaker 17>any form.

0:44:58.840 --> 0:44:59.400
<v Speaker 9>You can think of.

0:44:59.440 --> 0:45:07.200
<v Speaker 17>As teachers, doctors, firefighters, right, any like, there's a pretty

0:45:07.280 --> 0:45:10.640
<v Speaker 17>there's a big group. And in fact, the group that

0:45:11.040 --> 0:45:14.480
<v Speaker 17>would qualify for these loans is big in terms of

0:45:14.560 --> 0:45:17.160
<v Speaker 17>jobs of the economy. It can almost be twenty five

0:45:17.160 --> 0:45:19.480
<v Speaker 17>percent of jobs. That's not to say all those people

0:45:19.480 --> 0:45:21.560
<v Speaker 17>are eligible and they have student loan debt, but this

0:45:21.600 --> 0:45:25.600
<v Speaker 17>is not a trivial subset. And one of the things

0:45:25.640 --> 0:45:29.719
<v Speaker 17>that they have really struggled with that the Biden did

0:45:29.719 --> 0:45:32.759
<v Speaker 17>not is setting up a plan where people actually get

0:45:32.760 --> 0:45:35.319
<v Speaker 17>the benefit at the end. Right, they have a low

0:45:35.360 --> 0:45:37.680
<v Speaker 17>take up rate and they have a low success rate.

0:45:38.160 --> 0:45:40.120
<v Speaker 17>But it's a complicated program. You got to pay back

0:45:40.160 --> 0:45:42.839
<v Speaker 17>ten years, you know. So there are things there that

0:45:43.160 --> 0:45:47.359
<v Speaker 17>but the Biden's forgiveness plan, sign up for it was

0:45:47.560 --> 0:45:51.239
<v Speaker 17>so fast and massive, so there's lessons to be learned there.

0:45:52.160 --> 0:45:54.920
<v Speaker 17>And I mean there are functional parts of that student

0:45:54.960 --> 0:45:55.600
<v Speaker 17>loan setup.

0:45:55.880 --> 0:45:57.680
<v Speaker 9>So that could also. I think there could be.

0:45:57.640 --> 0:46:00.319
<v Speaker 17>A real exchange of ideas that would be fruit full,

0:46:00.760 --> 0:46:04.239
<v Speaker 17>both for the forgiveness plan we actually have and the

0:46:04.600 --> 0:46:07.680
<v Speaker 17>thinking about what would be next for a student loan forgiveness.

0:46:08.160 --> 0:46:10.880
<v Speaker 8>When it comes to the inflation front, there were concerns

0:46:10.920 --> 0:46:16.240
<v Speaker 8>about macroeconomists about how the potential forgiveness could potentially spur

0:46:16.800 --> 0:46:19.959
<v Speaker 8>a spark in inflation. What do you think this means

0:46:20.000 --> 0:46:22.439
<v Speaker 8>when we're looking on the inflation front moving forward.

0:46:24.200 --> 0:46:27.759
<v Speaker 17>We're talking about basis points, right, like, you know, yes,

0:46:27.840 --> 0:46:30.120
<v Speaker 17>it will probably have an effect. Yes, it probably did

0:46:30.200 --> 0:46:32.560
<v Speaker 17>allow spending to be a little higher as the you know,

0:46:33.040 --> 0:46:35.359
<v Speaker 17>you didn't have to do the payments with.

0:46:35.400 --> 0:46:36.239
<v Speaker 9>A student loan debt.

0:46:36.280 --> 0:46:39.359
<v Speaker 17>That's forgiveness. That's even less applical because it's spread out

0:46:39.360 --> 0:46:43.760
<v Speaker 17>over ten years like the whole process. And it's yes,

0:46:43.880 --> 0:46:45.920
<v Speaker 17>it will have an effect on demand, depending if it's

0:46:45.920 --> 0:46:48.560
<v Speaker 17>there or it's taken away. And yet this is not

0:46:49.080 --> 0:46:51.920
<v Speaker 17>that's not the argument that should bring down a program

0:46:52.280 --> 0:46:54.640
<v Speaker 17>like this is the inflationary effects.

0:46:55.120 --> 0:46:58.759
<v Speaker 1>So, Claudie, we have received a lot of economic data,

0:46:58.880 --> 0:47:01.839
<v Speaker 1>including today that's just this economy perhaps is stronger than

0:47:01.840 --> 0:47:04.680
<v Speaker 1>people think that perhaps the recession is not right around

0:47:04.680 --> 0:47:07.600
<v Speaker 1>the corner. I would love to get your recession outlook,

0:47:07.960 --> 0:47:11.839
<v Speaker 1>maybe talk talk to us about something called the Psalm rule.

0:47:11.960 --> 0:47:14.759
<v Speaker 9>Yeah, what's that? Yeah.

0:47:14.800 --> 0:47:18.200
<v Speaker 17>So I've said several times last year when when the

0:47:18.239 --> 0:47:20.839
<v Speaker 17>recession talk was really getting going, and it's like, we

0:47:20.920 --> 0:47:24.440
<v Speaker 17>need to we need to hope that that labor market

0:47:24.520 --> 0:47:28.120
<v Speaker 17>is as strong as the FED keeps complaining that it

0:47:28.160 --> 0:47:31.120
<v Speaker 17>is right, because if it's strong enough, it can buffer

0:47:31.640 --> 0:47:34.880
<v Speaker 17>and you know, slowly, there are other things related to

0:47:34.920 --> 0:47:38.759
<v Speaker 17>the pandemic, to the war in Ukraine that as those

0:47:38.800 --> 0:47:42.120
<v Speaker 17>work through, we could have inflation come down without the

0:47:42.120 --> 0:47:45.239
<v Speaker 17>FED doing more and more and more. But they're going

0:47:45.320 --> 0:47:48.080
<v Speaker 17>to keep pushing. So the labor market being strong is

0:47:48.080 --> 0:47:51.880
<v Speaker 17>good for people without a doubt, but it also can

0:47:53.000 --> 0:47:57.400
<v Speaker 17>just buffer us so that we slowly rebounce, we slowly

0:47:57.440 --> 0:48:00.400
<v Speaker 17>get inflation back down, as opposed to you know, bam,

0:48:00.440 --> 0:48:05.239
<v Speaker 17>there's a recession and everything falls, including inflation. So I

0:48:05.320 --> 0:48:08.320
<v Speaker 17>think it's the labor market is extremely important in that regard,

0:48:08.680 --> 0:48:14.040
<v Speaker 17>And in terms of my recession outlook, I really am

0:48:14.360 --> 0:48:16.920
<v Speaker 17>kind of on the fence right. For a long time,

0:48:16.960 --> 0:48:20.440
<v Speaker 17>I was optimistic that we could have of soft landing

0:48:21.160 --> 0:48:25.360
<v Speaker 17>in some maybe softish type landing. When we had the

0:48:25.440 --> 0:48:28.520
<v Speaker 17>disruptions in the banking sector, I think that caused more

0:48:28.600 --> 0:48:32.640
<v Speaker 17>concern that, you know, we may really not pull this

0:48:32.680 --> 0:48:35.120
<v Speaker 17>off because there's the FED has put a lot into

0:48:35.160 --> 0:48:37.520
<v Speaker 17>the system in terms of raid hikes, and they have

0:48:37.600 --> 0:48:39.560
<v Speaker 17>bank failures putting more in.

0:48:40.280 --> 0:48:41.600
<v Speaker 9>So it's kind but I agree with you.

0:48:41.640 --> 0:48:44.880
<v Speaker 17>As the latest data on the economy comes in, it

0:48:44.920 --> 0:48:45.920
<v Speaker 17>looks pretty good.

0:48:46.480 --> 0:48:48.719
<v Speaker 8>And especially on the back of that ADP data that

0:48:48.760 --> 0:48:51.680
<v Speaker 8>we got this morning Jolts, and then ahead of tomorrow's

0:48:51.800 --> 0:48:55.160
<v Speaker 8>jobs report, what's surview as far as the drink of

0:48:55.200 --> 0:48:56.719
<v Speaker 8>the labor marketing and what it can mean for the

0:48:56.719 --> 0:48:58.160
<v Speaker 8>Fed's decision later this month.

0:49:00.120 --> 0:49:02.359
<v Speaker 17>So I think we're going to continue to see an

0:49:02.400 --> 0:49:06.000
<v Speaker 17>expanding labor market. I mean no, not every month, right,

0:49:06.000 --> 0:49:08.640
<v Speaker 17>we could have a big downside surprise this time, because

0:49:08.680 --> 0:49:10.600
<v Speaker 17>you know we've had upside. But I think you know,

0:49:10.640 --> 0:49:13.240
<v Speaker 17>when you look broadbrushed and you look like recent months,

0:49:13.320 --> 0:49:17.080
<v Speaker 17>not just like today and you know tomorrow kind of picture,

0:49:17.160 --> 0:49:19.320
<v Speaker 17>I think we're seeing what the FED said it wanted

0:49:19.320 --> 0:49:22.360
<v Speaker 17>to see, which an economy slow it just like people

0:49:22.480 --> 0:49:25.319
<v Speaker 17>not spending so much, not you know, people coming back

0:49:25.360 --> 0:49:26.920
<v Speaker 17>to work so they don't have to pay the wages

0:49:27.000 --> 0:49:27.520
<v Speaker 17>quite so.

0:49:27.560 --> 0:49:30.040
<v Speaker 9>Much, so we'll know more.

0:49:30.520 --> 0:49:32.200
<v Speaker 17>We're going to know a lot more about the labor

0:49:32.239 --> 0:49:33.280
<v Speaker 17>market by Friday.

0:49:34.960 --> 0:49:36.160
<v Speaker 9>But at the end of the day, the Fed is

0:49:36.200 --> 0:49:37.440
<v Speaker 9>going to look at at inflation.

0:49:37.880 --> 0:49:40.000
<v Speaker 17>Are they get one more CPI before their meeting, and

0:49:40.040 --> 0:49:43.040
<v Speaker 17>that is going to take precedent over anything else that

0:49:43.080 --> 0:49:45.280
<v Speaker 17>they're learning because inflation is too high.

0:49:45.840 --> 0:49:48.279
<v Speaker 1>So, I mean a lot of folks will say. We

0:49:48.280 --> 0:49:51.319
<v Speaker 1>had Danielle Di Martino Booth from QI Research Consulting in

0:49:51.360 --> 0:49:54.799
<v Speaker 1>here earlier today and she was saying she thinks the

0:49:54.800 --> 0:49:57.960
<v Speaker 1>economy is much slower than the headline data is suggesting.

0:49:57.960 --> 0:50:00.200
<v Speaker 1>Some of the data that she looks at. Is your

0:50:00.239 --> 0:50:02.600
<v Speaker 1>sense at the economy is in fact slowing down and

0:50:03.239 --> 0:50:03.920
<v Speaker 1>is it material?

0:50:04.800 --> 0:50:07.799
<v Speaker 17>Well, if you think about the increase in perils this

0:50:07.880 --> 0:50:10.960
<v Speaker 17>year compared to last year, they have slowed down. They're

0:50:10.960 --> 0:50:14.480
<v Speaker 17>still really good, you know, in terms of relative to

0:50:14.560 --> 0:50:18.560
<v Speaker 17>before the pandemic. So I mean getting two hundred thousand

0:50:18.640 --> 0:50:21.480
<v Speaker 17>jobs a month, that was that was pretty standard before

0:50:21.560 --> 0:50:22.239
<v Speaker 17>the pandemic.

0:50:22.320 --> 0:50:24.360
<v Speaker 9>So we need to get and I.

0:50:24.400 --> 0:50:27.640
<v Speaker 17>Think we're moving this way. There's enough rebalancing that we're

0:50:27.680 --> 0:50:30.840
<v Speaker 17>starting to see things get kind.

0:50:30.600 --> 0:50:32.719
<v Speaker 9>Of back to quote unquote normal.

0:50:33.080 --> 0:50:37.040
<v Speaker 17>And that, and I think the labor market has behaved

0:50:37.480 --> 0:50:40.000
<v Speaker 17>much more in that way than inflation has been a

0:50:40.080 --> 0:50:43.280
<v Speaker 17>lot harder for people to square the data.

0:50:44.440 --> 0:50:46.279
<v Speaker 1>All right, Claudia, thank you so much for joining a

0:50:46.320 --> 0:50:51.440
<v Speaker 1>Claudia Salm founder and independent economists, some consulting, former sector

0:50:51.480 --> 0:50:54.000
<v Speaker 1>chief at the Federal Reserve Board, former senior economists at

0:50:54.040 --> 0:50:56.799
<v Speaker 1>the Council of Economic Advisors at the White House, so

0:50:57.360 --> 0:50:58.879
<v Speaker 1>lots of experience.

0:50:59.200 --> 0:51:03.400
<v Speaker 11>You're listening to catch a live program Bloomberg Markets weekdays

0:51:03.400 --> 0:51:06.640
<v Speaker 11>at ten am Eastern on Bloomberg Radio, the tune in app,

0:51:06.680 --> 0:51:09.560
<v Speaker 11>Bloomberg dot Com, and the Bloomberg Business App. You can

0:51:09.560 --> 0:51:12.799
<v Speaker 11>also listen live on Amazon Alexa from our flagship New

0:51:12.880 --> 0:51:17.160
<v Speaker 11>York station. Just say Alexa play Bloomberg eleven thirty.

0:51:18.280 --> 0:51:20.680
<v Speaker 3>It's Thursday. Let's get to our good friend, Barry Ridholts.

0:51:20.680 --> 0:51:23.920
<v Speaker 1>Always well dressed, always carries himself very well. He's a

0:51:23.960 --> 0:51:26.440
<v Speaker 1>host of Masters in Business on Bloomberg Radio. Has also

0:51:26.480 --> 0:51:29.080
<v Speaker 1>got a day job Chairman and chief investment Officer Reholts

0:51:29.120 --> 0:51:31.359
<v Speaker 1>Wealth Management. Barry, I have no idea what to talk

0:51:31.360 --> 0:51:32.879
<v Speaker 1>about today, so I'm gonna throw out a word and

0:51:32.920 --> 0:51:36.040
<v Speaker 1>you just kind of react inflation? What's going on out there?

0:51:36.200 --> 0:51:37.960
<v Speaker 1>How should we think about it?

0:51:37.960 --> 0:51:40.880
<v Speaker 18>It peaked over a year ago, it's coming down, and

0:51:41.360 --> 0:51:45.320
<v Speaker 18>the areas that are not coming down. You could blame

0:51:45.360 --> 0:51:48.720
<v Speaker 18>the FED for causing a shortage of homes for sale

0:51:48.840 --> 0:51:54.680
<v Speaker 18>and higher apartment rentals. Other than that, everywhere we look

0:51:54.840 --> 0:51:58.799
<v Speaker 18>we see either falling prices. Look no further than the

0:51:58.920 --> 0:52:02.879
<v Speaker 18>used car wholesale market, and use car price market has

0:52:02.920 --> 0:52:07.480
<v Speaker 18>come down to luxury goods. The index that Bloomberg tracks

0:52:07.520 --> 0:52:11.080
<v Speaker 18>of luxury watches have peaked and fallen twenty twenty five percent.

0:52:11.440 --> 0:52:14.960
<v Speaker 18>So wherever we look, inflation is rolling over. The three

0:52:15.560 --> 0:52:19.279
<v Speaker 18>sticking points are labor and I don't see how higher

0:52:19.320 --> 0:52:21.560
<v Speaker 18>rates are magically going to make a million more workers

0:52:21.960 --> 0:52:27.000
<v Speaker 18>uppear in the United States, semiconductors same and housing. And

0:52:27.080 --> 0:52:31.600
<v Speaker 18>housing is where the Fed is actually making the situation worse. Perversely,

0:52:31.960 --> 0:52:35.839
<v Speaker 18>the FED is causing higher inflation, and the sooner they

0:52:35.840 --> 0:52:36.520
<v Speaker 18>realize that.

0:52:36.600 --> 0:52:38.279
<v Speaker 3>How are they doing that, we'll all be what do

0:52:38.320 --> 0:52:39.560
<v Speaker 3>you mean by that? How are they doing that?

0:52:39.600 --> 0:52:39.920
<v Speaker 4>All? Right?

0:52:40.520 --> 0:52:44.279
<v Speaker 18>Two major ways. The first is owner's equivalent rent is

0:52:44.320 --> 0:52:48.839
<v Speaker 18>the largest part of CPI. What is it? It's effectively what

0:52:48.920 --> 0:52:51.360
<v Speaker 18>it costs to rent your house if you wanted to

0:52:51.400 --> 0:52:54.799
<v Speaker 18>rent it out. And when mortgage breaks go higher and

0:52:54.840 --> 0:52:58.319
<v Speaker 18>there's an insufficient supply of single family homes and home

0:52:58.360 --> 0:53:01.080
<v Speaker 18>prices go up, guess what happens to rental units. They

0:53:01.080 --> 0:53:05.320
<v Speaker 18>go up also, second, there would be many more homes

0:53:05.640 --> 0:53:09.719
<v Speaker 18>for sale. Perhaps he's in the price pressure we've seen

0:53:09.800 --> 0:53:13.680
<v Speaker 18>both in purchase and rentals. If people didn't feel locked

0:53:13.680 --> 0:53:15.799
<v Speaker 18>in to Hey, I have a three and a half

0:53:15.880 --> 0:53:18.520
<v Speaker 18>four percent mortgage. If I go out and get a

0:53:18.560 --> 0:53:21.399
<v Speaker 18>new mortgage at six and a half seven percent, it's

0:53:21.440 --> 0:53:23.840
<v Speaker 18>going to cost me a whole lot more for not

0:53:23.920 --> 0:53:27.120
<v Speaker 18>a whole lot more house. We're better off staying where

0:53:27.120 --> 0:53:30.279
<v Speaker 18>we are, says so many homeowners. And Hey, we'll add

0:53:30.320 --> 0:53:33.440
<v Speaker 18>a pool, we'll redo the kitchen, we'll we'll just do

0:53:33.520 --> 0:53:37.839
<v Speaker 18>some renovation, which, by the way, indirectly contributes to all

0:53:37.880 --> 0:53:41.560
<v Speaker 18>these rising prices for contractors. So many people have been

0:53:41.560 --> 0:53:43.879
<v Speaker 18>doing that over the past couple of years. They're making

0:53:43.920 --> 0:53:47.920
<v Speaker 18>that more expensive. If you want lower inflation, not only

0:53:48.000 --> 0:53:50.719
<v Speaker 18>should the FED stop raising rates, they need to think

0:53:50.719 --> 0:53:55.360
<v Speaker 18>about sliding back a cut or two in order to

0:53:55.400 --> 0:53:59.880
<v Speaker 18>stabilize the rental market, which they are directly disrupting.

0:54:00.640 --> 0:54:03.239
<v Speaker 8>And your latest column on the terminal is about how

0:54:03.239 --> 0:54:08.160
<v Speaker 8>more inflation expectations silliness that you're writing about. So you're

0:54:08.200 --> 0:54:12.319
<v Speaker 8>thinking that we aren't going to see higher inflation. But

0:54:12.400 --> 0:54:13.960
<v Speaker 8>given what you were just talking about when it comes

0:54:14.000 --> 0:54:16.600
<v Speaker 8>to especially shelter in housing, how you have different components

0:54:16.640 --> 0:54:20.160
<v Speaker 8>when you're looking at inflation metrics, especially with CPI right,

0:54:20.160 --> 0:54:22.960
<v Speaker 8>because shelter is more like around a third of the waiting,

0:54:23.120 --> 0:54:25.879
<v Speaker 8>very different than say when you look at PCE right,

0:54:25.920 --> 0:54:27.560
<v Speaker 8>which is a very different waiting there.

0:54:28.280 --> 0:54:32.359
<v Speaker 18>That's exactly right. So first, forget expectations. When we look

0:54:32.400 --> 0:54:36.160
<v Speaker 18>at goods prices, not only have they stopped going up,

0:54:36.280 --> 0:54:39.280
<v Speaker 18>many of them have come down in price, and quite

0:54:39.280 --> 0:54:43.000
<v Speaker 18>a few have fallen to levels that were pre pandemic.

0:54:43.040 --> 0:54:45.360
<v Speaker 18>When we look at lumber, when we look at a

0:54:45.440 --> 0:54:48.720
<v Speaker 18>number of industrial metals, when we look you know, pretty

0:54:48.760 --> 0:54:51.600
<v Speaker 18>much across the board, even energy, where are we sixty

0:54:51.640 --> 0:54:55.080
<v Speaker 18>eight seventy two a barrel? That's what it was in

0:54:55.200 --> 0:54:59.080
<v Speaker 18>two thousand and six. So I'm okay with oil being

0:54:59.120 --> 0:55:02.240
<v Speaker 18>the same price for twenty years. Yeah, it fell, it spiked,

0:55:02.239 --> 0:55:05.319
<v Speaker 18>it collapsed again, but it's hard to say that we're

0:55:05.360 --> 0:55:08.799
<v Speaker 18>really paying way too much for energy prices, natural gas

0:55:08.840 --> 0:55:12.840
<v Speaker 18>prices can continue to drift lower despite the Russian invasion

0:55:12.840 --> 0:55:17.280
<v Speaker 18>of Ukraine. So when we look at what's actually happening,

0:55:17.400 --> 0:55:20.839
<v Speaker 18>prices are either no longer going up, or going up

0:55:20.920 --> 0:55:24.520
<v Speaker 18>much more slowly, or actually coming down. But the Fed

0:55:24.760 --> 0:55:28.880
<v Speaker 18>likes to do this thing called inflation expectations. They survey

0:55:28.960 --> 0:55:32.000
<v Speaker 18>a few thousand people and they say, where do you

0:55:32.120 --> 0:55:35.760
<v Speaker 18>think inflation will be in five years? And there really

0:55:35.840 --> 0:55:39.239
<v Speaker 18>is one honest answer to that, How the hell do

0:55:39.320 --> 0:55:43.200
<v Speaker 18>I know anything else besides that is a lie. So

0:55:43.239 --> 0:55:45.640
<v Speaker 18>when people say we think inflation is going to be

0:55:45.680 --> 0:55:49.400
<v Speaker 18>appreciably higher in five years, all they're really revealing is

0:55:50.000 --> 0:55:53.960
<v Speaker 18>their experience the past three to six months, and human

0:55:54.040 --> 0:55:56.360
<v Speaker 18>psychology is that's on a leg. It took people a

0:55:56.360 --> 0:56:00.360
<v Speaker 18>little while to recognize while why inflation it's order to

0:56:00.400 --> 0:56:03.959
<v Speaker 18>tick up, which is why inflation expectations throughout the first

0:56:04.000 --> 0:56:07.440
<v Speaker 18>half of twenty twenty one were like, yeah, we're inflation's fine,

0:56:07.760 --> 0:56:11.200
<v Speaker 18>just as it was spiking upwards, and then last summer,

0:56:11.280 --> 0:56:14.759
<v Speaker 18>when it had peaked and reversed, people maintained their same,

0:56:14.920 --> 0:56:18.239
<v Speaker 18>much higher inflation expectations for a few years. Humans are

0:56:18.360 --> 0:56:22.640
<v Speaker 18>terrible at predicting and random people telling you what CPI

0:56:22.760 --> 0:56:26.080
<v Speaker 18>will be five years from now. I know there's been

0:56:26.080 --> 0:56:29.359
<v Speaker 18>a lot of medical experiment with psilocybin and magic mushrooms.

0:56:29.480 --> 0:56:32.040
<v Speaker 18>I didn't know it had actually reached the FMC research

0:56:32.080 --> 0:56:36.080
<v Speaker 18>department because that's the only explanation for this sort of survey.

0:56:36.760 --> 0:56:39.600
<v Speaker 1>All right, Barry, we're getting to the dog days of summer.

0:56:39.640 --> 0:56:41.800
<v Speaker 1>What are you driving these days?

0:56:42.600 --> 0:56:46.839
<v Speaker 18>So in the last year, I picked up it's funny

0:56:46.880 --> 0:56:48.240
<v Speaker 18>to talk about this without matter around.

0:56:48.320 --> 0:56:48.480
<v Speaker 13>I know.

0:56:48.640 --> 0:56:51.400
<v Speaker 3>I picked up an old.

0:56:52.239 --> 0:56:56.040
<v Speaker 18>Nine to eleven or nineteen eighty eight Cabrio that the

0:56:56.080 --> 0:56:58.640
<v Speaker 18>previous owner had just beaten the hell out of They

0:56:58.680 --> 0:57:01.680
<v Speaker 18>had been racing it, and they had modified it. So

0:57:01.719 --> 0:57:04.919
<v Speaker 18>I was able to pick it up for really deep

0:57:04.960 --> 0:57:07.399
<v Speaker 18>down inside, I'm a value investor, so anytime I get

0:57:07.440 --> 0:57:11.840
<v Speaker 18>a chance to pick up a Cabrio cheap, I did that,

0:57:12.080 --> 0:57:14.839
<v Speaker 18>and I've slowly been bringing it back to stock. And

0:57:15.239 --> 0:57:17.840
<v Speaker 18>as we're working on the car, by dumb luck, it

0:57:17.880 --> 0:57:22.200
<v Speaker 18>turns out that it's the M four ninety one Special Edition,

0:57:22.320 --> 0:57:25.600
<v Speaker 18>which is the nine to eleven Turbo. It has everything

0:57:25.640 --> 0:57:28.880
<v Speaker 18>the turbo has minus the turbo, so the whale tail,

0:57:28.960 --> 0:57:33.720
<v Speaker 18>the fat fenders, the big tires, beefed up, suspension and breaks.

0:57:33.720 --> 0:57:36.440
<v Speaker 18>It's just the turbos were known as widow makers. They

0:57:36.440 --> 0:57:41.000
<v Speaker 18>were notoriously dangerous. So this is everything minus that, and

0:57:41.160 --> 0:57:45.439
<v Speaker 18>I actually just brought it in. The last things I'm

0:57:45.480 --> 0:57:50.120
<v Speaker 18>having done is the suspension return to normal. And that's

0:57:50.200 --> 0:57:52.960
<v Speaker 18>kind of my fun summer driver. You could pick up.

0:57:52.960 --> 0:57:56.240
<v Speaker 18>Everybody looks at these expensive cars if.

0:57:55.560 --> 0:57:57.320
<v Speaker 3>You do get them at a decent price.

0:57:57.360 --> 0:58:00.280
<v Speaker 1>All right, Barry, thanks so much, Barry Ridults there getting

0:58:00.320 --> 0:58:01.000
<v Speaker 1>us the car talk.

0:58:01.280 --> 0:58:04.400
<v Speaker 11>You're listening to the tape. Can's are live program Bloomberg

0:58:04.440 --> 0:58:08.040
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0:58:08.120 --> 0:58:10.200
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0:58:09.880 --> 0:58:11.320
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0:58:11.360 --> 0:58:14.200
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0:58:14.200 --> 0:58:19.240
<v Speaker 11>flagship New York station. Just say Alexa play Bloomberg eleven thirty.

0:58:19.400 --> 0:58:22.320
<v Speaker 1>All right, here is a story that I've been sending

0:58:22.360 --> 0:58:26.240
<v Speaker 1>to all of my Harvard buddies. They're not happy for

0:58:26.280 --> 0:58:29.120
<v Speaker 1>a variety of reasons, and I'm blaming our next guest,

0:58:29.200 --> 0:58:32.960
<v Speaker 1>Janet Lauren. Janet Lauren, higher education financi reporter for Bloomberg News.

0:58:33.120 --> 0:58:37.840
<v Speaker 1>Harvard targeted by Massachusetts Bill on legacy admissions. Janet, give

0:58:37.920 --> 0:58:40.000
<v Speaker 1>us a back story here, what's going on.

0:58:40.480 --> 0:58:41.520
<v Speaker 9>So this bill.

0:58:41.880 --> 0:58:45.080
<v Speaker 10>Has been introduced, it's been there was a committee last week.

0:58:45.400 --> 0:58:47.880
<v Speaker 10>But the question is is it going to have an impact?

0:58:48.080 --> 0:58:51.880
<v Speaker 10>So the question is does the state the state would

0:58:51.920 --> 0:58:55.160
<v Speaker 10>like to tax schools based on their endowment pur student,

0:58:55.200 --> 0:58:56.880
<v Speaker 10>and we know that there's a school with a quite

0:58:56.960 --> 0:59:01.520
<v Speaker 10>large endowment in Massachusetts. It's a big target. And this

0:59:01.760 --> 0:59:07.800
<v Speaker 10>would give schools, community colleges money based on formula foreign

0:59:07.840 --> 0:59:10.640
<v Speaker 10>Downman per student if they have legacy admissions. And that

0:59:10.720 --> 0:59:13.040
<v Speaker 10>means if your parent went to school there, do you

0:59:13.080 --> 0:59:15.880
<v Speaker 10>get a preference? And also early decision and why does

0:59:15.920 --> 0:59:19.560
<v Speaker 10>early decision make a difference. Typically students who apply earlier

0:59:19.800 --> 0:59:23.320
<v Speaker 10>tend to be wealthier. They're not necessarily waiting to compare

0:59:23.360 --> 0:59:26.800
<v Speaker 10>financial aid packages when they get them in March. So

0:59:26.840 --> 0:59:30.360
<v Speaker 10>the question is Harvard again is always a big target.

0:59:30.640 --> 0:59:33.840
<v Speaker 10>There's been legislation in Massachusetts before to try to TAXI

0:59:33.920 --> 0:59:36.000
<v Speaker 10>ing down and also at Yale to tech and they

0:59:36.000 --> 0:59:40.520
<v Speaker 10>have not been successful. There are huge drivers of money

0:59:40.800 --> 0:59:44.680
<v Speaker 10>universities and the Higher Ed Association in Massachusetts said, look,

0:59:44.680 --> 0:59:48.800
<v Speaker 10>if this goes through our students, our citizens are unfairly

0:59:49.120 --> 0:59:52.760
<v Speaker 10>targeted because these policies potentially could go away.

0:59:52.920 --> 0:59:55.640
<v Speaker 8>What historically has been the catalyst to prevent those types

0:59:55.680 --> 0:59:57.960
<v Speaker 8>of policies from actually going through.

0:59:58.560 --> 1:00:02.800
<v Speaker 10>Well, you know, firmative action in the Supreme Court decision

1:00:02.960 --> 1:00:07.000
<v Speaker 10>has really prompted this. If the Supreme Court says you

1:00:07.040 --> 1:00:09.960
<v Speaker 10>can't give a preference for race, why should you have

1:00:10.000 --> 1:00:13.680
<v Speaker 10>a preference for wealthier applications? Is what is what this

1:00:13.840 --> 1:00:14.919
<v Speaker 10>is is bringing.

1:00:14.560 --> 1:00:19.080
<v Speaker 1>Out interesting I noticed in your reporting that the Massachusetts

1:00:19.120 --> 1:00:22.600
<v Speaker 1>bill or the second richest college in the state, Massachusetts

1:00:22.640 --> 1:00:26.200
<v Speaker 1>Institute of Technology MIT, wouldn't pay anything because it doesn't

1:00:26.280 --> 1:00:29.040
<v Speaker 1>use binding early decision policies or legacy preferences.

1:00:29.080 --> 1:00:31.680
<v Speaker 10>Yeah, I didn't know that. Yes, that is true. MIT

1:00:31.880 --> 1:00:35.400
<v Speaker 10>has long had a policy not having legacies. But you know,

1:00:35.520 --> 1:00:38.040
<v Speaker 10>MIT was one of the first schools to actually bring

1:00:38.120 --> 1:00:41.360
<v Speaker 10>back the SAT and MIT is a Yes, they're pretty

1:00:41.400 --> 1:00:43.400
<v Speaker 10>different because you kind of have to do the work,

1:00:45.280 --> 1:00:47.720
<v Speaker 10>so it doesn't really matter if your parent went there.

1:00:47.960 --> 1:00:50.680
<v Speaker 10>They're looking for kids who can excel in math and

1:00:50.720 --> 1:00:53.680
<v Speaker 10>science and that's not going to be just anybody. And

1:00:53.920 --> 1:00:56.920
<v Speaker 10>they also many of the schools do not have binding

1:00:56.960 --> 1:01:01.040
<v Speaker 10>early decision policies. Harvard Yale, Princeton stand at MIT. You

1:01:01.080 --> 1:01:04.000
<v Speaker 10>know that was done more than a decade ago to

1:01:04.040 --> 1:01:07.400
<v Speaker 10>take out that advantage. In fact, several years ago schools

1:01:07.440 --> 1:01:10.600
<v Speaker 10>actually abolished early decision like Princeton and a few schools

1:01:11.160 --> 1:01:13.840
<v Speaker 10>followed that, and they said that they were actually losing

1:01:13.920 --> 1:01:16.640
<v Speaker 10>kids because they do like to shore up where they're

1:01:16.680 --> 1:01:18.200
<v Speaker 10>going to school as early as possible.

1:01:18.680 --> 1:01:21.280
<v Speaker 8>How have these poor community colleges been impacted in the

1:01:21.320 --> 1:01:23.080
<v Speaker 8>past when these policies haven't gone through.

1:01:23.880 --> 1:01:28.160
<v Speaker 10>Well, community colleges are really quite underfunded. You know, I

1:01:28.240 --> 1:01:31.640
<v Speaker 10>was talking to one bunker Hill Community College in Massachusetts

1:01:31.640 --> 1:01:34.960
<v Speaker 10>where they have more than ten thousand students, and you know,

1:01:35.280 --> 1:01:38.760
<v Speaker 10>their goal is to get kids to graduate associate's degree,

1:01:39.280 --> 1:01:42.080
<v Speaker 10>ideally transfer to a four year college. And you know,

1:01:42.120 --> 1:01:45.240
<v Speaker 10>the worst scenario is when you have some college you've

1:01:45.280 --> 1:01:48.080
<v Speaker 10>taken on some loans and then you don't finish and

1:01:48.120 --> 1:01:50.480
<v Speaker 10>they are, you know, traditionally quite underfunded.

1:01:50.920 --> 1:01:53.040
<v Speaker 3>It's interesting because we're just talking to John Talker about this.

1:01:53.320 --> 1:01:55.360
<v Speaker 1>You know, going to a community college for a couple

1:01:55.400 --> 1:01:57.360
<v Speaker 1>of years and you can transfer all your credits to

1:01:57.360 --> 1:01:59.200
<v Speaker 1>stay in the state of New Jersey to Rutgers, which

1:01:59.240 --> 1:02:03.440
<v Speaker 1>is a state universe of New Jersey Sunday. And then

1:02:03.440 --> 1:02:05.520
<v Speaker 1>you can graduate with a Rutgers degree with only really

1:02:05.560 --> 1:02:06.800
<v Speaker 1>two years of a Rutgers tuition.

1:02:07.240 --> 1:02:07.520
<v Speaker 9>Yes.

1:02:07.640 --> 1:02:11.240
<v Speaker 10>Well, and really the biggest issue when you're talking about

1:02:11.320 --> 1:02:14.800
<v Speaker 10>student loans is when you have some college you and

1:02:14.880 --> 1:02:16.960
<v Speaker 10>you don't have the degree, but you're carrying this loan

1:02:17.000 --> 1:02:19.680
<v Speaker 10>burden for a long time. And certainly people think about

1:02:19.680 --> 1:02:22.240
<v Speaker 10>community college is an alternative to having a couple of

1:02:22.320 --> 1:02:24.720
<v Speaker 10>years of less expensive school, and as you said, transfering,

1:02:24.720 --> 1:02:27.360
<v Speaker 10>you're still having the Rutgers degree. And plus you know,

1:02:27.440 --> 1:02:29.080
<v Speaker 10>real experience.

1:02:29.160 --> 1:02:32.240
<v Speaker 8>As far as putting into perspective just how challenging is

1:02:32.280 --> 1:02:35.080
<v Speaker 8>it and how many students end up not actually being

1:02:35.080 --> 1:02:37.960
<v Speaker 8>able to accept and go to a university like Harvard

1:02:38.040 --> 1:02:40.840
<v Speaker 8>just because of the increasing cost, Like say, if you

1:02:40.880 --> 1:02:43.240
<v Speaker 8>don't have that kind of connection there where you're part

1:02:43.240 --> 1:02:45.240
<v Speaker 8>of a family and an alumni group like that.

1:02:45.760 --> 1:02:48.160
<v Speaker 10>Well, Harvard for a long time has been trying to

1:02:48.200 --> 1:02:51.880
<v Speaker 10>increase its financial aid and targeted to lower income students.

1:02:52.000 --> 1:02:54.920
<v Speaker 10>So our story last week talked about the incoming class

1:02:55.840 --> 1:02:59.200
<v Speaker 10>twenty five percent have incomes of eighty five thousand or less,

1:03:00.040 --> 1:03:03.320
<v Speaker 10>and that's something that they've been particularly trying to target

1:03:03.360 --> 1:03:04.240
<v Speaker 10>in the last several years.

1:03:04.280 --> 1:03:07.920
<v Speaker 1>How important are the legacy programs to the universities. I mean,

1:03:07.920 --> 1:03:12.960
<v Speaker 1>it's a broad discussion point, but it seems like they're

1:03:13.040 --> 1:03:16.200
<v Speaker 1>quite important for just I don't know, support and all

1:03:16.240 --> 1:03:16.760
<v Speaker 1>that type of thing.

1:03:17.360 --> 1:03:20.080
<v Speaker 10>Well, the University of Pennsylvania used to say, look, if

1:03:20.120 --> 1:03:22.720
<v Speaker 10>your kid wants to go here, you went here. You

1:03:22.800 --> 1:03:25.439
<v Speaker 10>have to apply early, and that that's the only place

1:03:25.480 --> 1:03:27.400
<v Speaker 10>where you're going to have an advantage in the early

1:03:27.480 --> 1:03:31.600
<v Speaker 10>decision process. But colleges like to you know, preserve their communities,

1:03:31.640 --> 1:03:34.320
<v Speaker 10>They like to encourage alumni to donate, and you know,

1:03:34.360 --> 1:03:36.040
<v Speaker 10>you may we had a comment in one of the

1:03:36.040 --> 1:03:40.800
<v Speaker 10>stories earlier this week that legacy programs do encourage people

1:03:40.880 --> 1:03:43.040
<v Speaker 10>to donate. You know, you're giving to your college for

1:03:43.080 --> 1:03:45.200
<v Speaker 10>thirty years with the hopes that your kid might get in.

1:03:45.280 --> 1:03:48.880
<v Speaker 10>That's you know, that is some revenue that schools don't

1:03:48.920 --> 1:03:52.200
<v Speaker 10>want to curtail. And certainly we're also talking about wealthy

1:03:52.200 --> 1:03:53.080
<v Speaker 10>donors too.

1:03:53.600 --> 1:03:57.040
<v Speaker 8>Right, And what's the likelihood that when we're talking about

1:03:57.040 --> 1:03:59.560
<v Speaker 8>these admission policies that they would actually.

1:03:59.280 --> 1:04:02.680
<v Speaker 10>Likely go through time around? I mean, that's that's a

1:04:02.720 --> 1:04:05.200
<v Speaker 10>good question. You talk to the higher ed lobby, you

1:04:05.240 --> 1:04:07.960
<v Speaker 10>talk to observers, and they say, well, it's not that

1:04:07.960 --> 1:04:10.720
<v Speaker 10>they have zero chance. Maybe they're you know, but before

1:04:10.760 --> 1:04:12.720
<v Speaker 10>they had zero chance. Maybe it sounds a little bit

1:04:12.720 --> 1:04:14.920
<v Speaker 10>more interesting with the Supreme Court. But you have to

1:04:15.000 --> 1:04:18.560
<v Speaker 10>understand that colleges in massachuse there's a lot of rich

1:04:18.600 --> 1:04:22.680
<v Speaker 10>colleges in Massachusetts, and you cannot undermine the power of lobbyists.

1:04:23.360 --> 1:04:27.760
<v Speaker 10>Colleges for a long time resisted the federal tax on endowments.

1:04:27.800 --> 1:04:30.720
<v Speaker 10>It's something that a lot of Congressmen were interested because

1:04:30.760 --> 1:04:33.920
<v Speaker 10>you know, Harvard has fifty billion dollars, Yelle has forty

1:04:33.960 --> 1:04:37.920
<v Speaker 10>one billion dollars. You know, these are these are massive

1:04:38.280 --> 1:04:42.440
<v Speaker 10>asset allocations and they're a rich target. But ultimately, you know,

1:04:42.480 --> 1:04:44.640
<v Speaker 10>except for the federal endowment tax that went through in

1:04:44.680 --> 1:04:48.200
<v Speaker 10>the Trump tax cuts of twenty seventeen, they've never been successful.

1:04:49.000 --> 1:04:50.680
<v Speaker 1>Talk to those about another topic that I know you're

1:04:50.720 --> 1:04:54.120
<v Speaker 1>familiar with, which is we're seeing here the rich get richer,

1:04:54.560 --> 1:04:57.760
<v Speaker 1>whether it's endowment or students or and maybe you know,

1:04:57.800 --> 1:04:59.440
<v Speaker 1>the poor get poor in terms of some of these

1:04:59.480 --> 1:05:04.080
<v Speaker 1>underfunded schools, under endowed schools literally going out of business.

1:05:04.560 --> 1:05:07.200
<v Speaker 1>How's the playing field these days? What's happening out there

1:05:07.880 --> 1:05:09.960
<v Speaker 1>what a higher education folks think is going to be

1:05:10.160 --> 1:05:10.600
<v Speaker 1>the trend.

1:05:10.960 --> 1:05:13.720
<v Speaker 10>Well, there are a couple of trends. The first one

1:05:13.760 --> 1:05:17.680
<v Speaker 10>is you had a pandemic money that certainly helped gave

1:05:17.720 --> 1:05:21.760
<v Speaker 10>a huge lifeline to colleges for several years, and that's

1:05:21.760 --> 1:05:24.800
<v Speaker 10>going away. You have what we've been writing about for

1:05:24.800 --> 1:05:28.480
<v Speaker 10>a decade, demographic shifts. There are just fewer eighteen year

1:05:28.520 --> 1:05:31.040
<v Speaker 10>olds out there, there's fewer kids to go to college,

1:05:31.520 --> 1:05:35.000
<v Speaker 10>and kids tend to go two hundred miles away from

1:05:35.040 --> 1:05:37.360
<v Speaker 10>their homes, and there's a lot of colleges and areas

1:05:37.400 --> 1:05:39.880
<v Speaker 10>that are constrained, such as the Midwest and the Northeast.

1:05:40.320 --> 1:05:43.600
<v Speaker 10>So you have all these issues converging at the same time.

1:05:43.640 --> 1:05:48.320
<v Speaker 10>With the prices expensive, our people making different decisions not

1:05:48.400 --> 1:05:51.160
<v Speaker 10>to go to college. So you know when the price

1:05:51.240 --> 1:05:53.880
<v Speaker 10>tag could be seventy eighty thousand dollars. Now, keep in

1:05:53.880 --> 1:05:57.320
<v Speaker 10>mind that's not actually what most families pay because most

1:05:57.320 --> 1:06:01.080
<v Speaker 10>of the smaller liberal arts colleges they do they do

1:06:01.160 --> 1:06:03.800
<v Speaker 10>offer aid, so the sticker price is really not what

1:06:03.840 --> 1:06:06.800
<v Speaker 10>they're paying. But it's a good question. We're starting to see.

1:06:07.600 --> 1:06:10.880
<v Speaker 10>There was a college in New Jersey that has now

1:06:11.040 --> 1:06:15.400
<v Speaker 10>since merged with Montclair State. Bloommen was Bloomfield College, Right,

1:06:15.600 --> 1:06:17.560
<v Speaker 10>So I think you're starting to see more of that,

1:06:17.720 --> 1:06:22.120
<v Speaker 10>and you know, as you see schools looking for debt

1:06:22.400 --> 1:06:24.720
<v Speaker 10>and their ratings are constrained.

1:06:25.000 --> 1:06:27.400
<v Speaker 8>Yeah, right, especially when you think of just in the

1:06:27.440 --> 1:06:30.240
<v Speaker 8>context of COVID as well, what you were mentioning the

1:06:30.320 --> 1:06:33.240
<v Speaker 8>haves and the have nots and how that can exacerbate that.

1:06:35.080 --> 1:06:35.240
<v Speaker 15>Well.

1:06:35.280 --> 1:06:37.640
<v Speaker 8>Great, Well, thanks so much for taking the time to

1:06:37.880 --> 1:06:41.280
<v Speaker 8>speak with us. Janet Lauren, higher education finance reporter at

1:06:41.280 --> 1:06:44.040
<v Speaker 8>Bloomberg News, talking to us about obviously this was a

1:06:44.040 --> 1:06:46.439
<v Speaker 8>big topic you were looking forward to speaking to Paul

1:06:46.440 --> 1:06:49.560
<v Speaker 8>as far as how Harvard is targeting this Massachusetts bill

1:06:49.640 --> 1:06:52.800
<v Speaker 8>on legacy admissions and what that could mean obviously for endowments,

1:06:52.800 --> 1:06:55.080
<v Speaker 8>but then also on the poor side of things, we

1:06:55.080 --> 1:06:56.560
<v Speaker 8>were talking about community colleges.

1:06:56.840 --> 1:06:58.280
<v Speaker 1>Yeah, and I just I kind of feel like the

1:06:58.640 --> 1:07:03.480
<v Speaker 1>well resourced families will find a way around whatever blockades

1:07:03.600 --> 1:07:05.480
<v Speaker 1>or you know, kind of challenge to put up by colleges.

1:07:05.520 --> 1:07:06.920
<v Speaker 3>And clearly some of these things.

1:07:06.800 --> 1:07:09.720
<v Speaker 8>Right, they have historically done in the lobbying efforts.

1:07:09.920 --> 1:07:12.720
<v Speaker 3>Yeah, but you know, we thought about the Supreme Court

1:07:12.720 --> 1:07:16.400
<v Speaker 3>case coming down people somebody said wrote in being a

1:07:16.680 --> 1:07:19.560
<v Speaker 3>really good essay writer is not going to become even

1:07:19.560 --> 1:07:21.120
<v Speaker 3>more important because you want to say, you know, as

1:07:21.120 --> 1:07:24.080
<v Speaker 3>a you know, as an underprivileged blah blah blah blah,

1:07:24.120 --> 1:07:26.640
<v Speaker 3>I overcame these and that's kind of the way to But.

1:07:26.600 --> 1:07:28.360
<v Speaker 8>Then you also have to kind of think about the

1:07:28.400 --> 1:07:28.800
<v Speaker 8>haves and.

1:07:28.720 --> 1:07:29.160
<v Speaker 10>The have notz.

1:07:29.240 --> 1:07:31.720
<v Speaker 3>Yep, Absolutely, it's been a big, big issue.

1:07:32.120 --> 1:07:34.640
<v Speaker 1>But again, the community college schools have been such a

1:07:34.640 --> 1:07:36.439
<v Speaker 1>great route for so many people over so many years.

1:07:36.440 --> 1:07:39.520
<v Speaker 3>You'd like to see that continue.

1:07:40.800 --> 1:07:43.920
<v Speaker 2>Thanks for listening to the Bloomberg Markets podcast. You can

1:07:43.920 --> 1:07:47.720
<v Speaker 2>subscribe and listen to interviews at Apple Podcasts or whatever

1:07:47.800 --> 1:07:49.280
<v Speaker 2>podcast platform you prefer.

1:07:49.680 --> 1:07:50.480
<v Speaker 3>I'm Matt Miller.

1:07:50.760 --> 1:07:54.200
<v Speaker 2>I'm on Twitter at Matt Miller nineteen seventy three and

1:07:54.280 --> 1:07:54.760
<v Speaker 2>on Fall.

1:07:54.640 --> 1:07:57.520
<v Speaker 1>Sweeney I'm on Twitter at pt Sweeney. Before the podcast,

1:07:57.560 --> 1:07:59.959
<v Speaker 1>you can always catch us worldwide at Bloomberg Radio.