WEBVTT - Why So Many People Got This Year's Economy Wrong

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<v Speaker 1>Hello, and welcome to another episode of the All Thoughts Podcast.

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<v Speaker 1>I'm Tracy Alloway and I'm Joe Wisenthal. Joe, it's it's

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<v Speaker 1>nearly the end of twenty twenty three. It's been a

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<v Speaker 1>wild ride.

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<v Speaker 2>What an incredible year. I mean, the stat that just

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<v Speaker 2>like jumps out to me is forty one point two

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<v Speaker 2>four percent as of right now we're recording this December fourteenth.

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<v Speaker 2>That is the annual gain of the Nasdaq twenty three

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<v Speaker 2>point one percent on the S and P mortgage rates

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<v Speaker 2>below seven percent. Good times. It looks like good times

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<v Speaker 2>when I.

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<v Speaker 1>Look at the screen, even though you're talking about the rally,

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<v Speaker 1>it sounds like you haven't escaped the year unscathed. Because

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<v Speaker 1>of your voice, it sounds like you've had a rough

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<v Speaker 1>twenty twenty three.

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<v Speaker 2>It's been a good twenty twenty three. But my voice

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<v Speaker 2>is not in great shape at this moment.

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<v Speaker 1>But Joe was singing last night at his first show.

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<v Speaker 2>Yes, that is my excuse that I was out late

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<v Speaker 2>at a bar singing country music. But here I am,

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<v Speaker 2>and I'm very excited to talk about the bizarre, weird,

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<v Speaker 2>unexpected year that twenty twenty three was.

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<v Speaker 1>Yes, so if you recall this time last year in

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<v Speaker 1>twenty twenty two, it seemed like the consensus going into

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<v Speaker 1>the year was we were going to have a recession.

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<v Speaker 1>You know, people were talking about a hard landing, this

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<v Speaker 1>idea that the FED was going to have to keep

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<v Speaker 1>hiking rates and that that was eventually going to have

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<v Speaker 1>to bring down employment and we were going to see

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<v Speaker 1>a slow down in the economy. And yet here we

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<v Speaker 1>are and it hasn't materialized.

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<v Speaker 2>This time last year there was just like so much

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<v Speaker 2>pessimism and the market was really like in a rough

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<v Speaker 2>shape in November December last years this view, it's like,

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<v Speaker 2>you know what things are going to things are in

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<v Speaker 2>rough shape, but it doesn't matter. Inflation is still so high.

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<v Speaker 2>The FED has to keep pressing, the Fed has to

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<v Speaker 2>keep hiking. Yeah, it was pretty grim. And then somehow

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<v Speaker 2>like this is the big thing that I think people

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<v Speaker 2>are going to be talking about for years, which is,

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<v Speaker 2>how did we have like the biggest rate hike cycle

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<v Speaker 2>ever or one of them without more slowing in the

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<v Speaker 2>economic activity? And how did inflation come down from where

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<v Speaker 2>it was at its peak in the middle of twenty

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<v Speaker 2>twenty two without more weakening in the labor market?

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<v Speaker 1>Yes, and I should note it wasn't just economists and

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<v Speaker 1>analysts who were very pessimistic on the economy going into

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<v Speaker 1>twenty twenty three. We had a lot of you know,

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<v Speaker 1>real world people for lack of a better term, who

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<v Speaker 1>also thought that things were going to slow down. Like,

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<v Speaker 1>for instance, you had I think the Conference Board survey

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<v Speaker 1>of CEOs like almost one hundred percent. We're predicting a

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<v Speaker 1>recession in the US. All the sentiment surveys, as we've

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<v Speaker 1>been discussing on the show, have been coming from totally

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<v Speaker 1>well back until recently we're coming in very negative. So

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<v Speaker 1>you know, this wasn't just an economist problem. But I

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<v Speaker 1>think we should go over the year and we should review,

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<v Speaker 1>like what exactly happened that surprised a.

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<v Speaker 3>Lot of people.

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<v Speaker 2>Well you said this, I think in our recent episode

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<v Speaker 2>that we did with Ian Hatzias, and I totally agree.

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<v Speaker 2>I mean, I feel like the last few years will

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<v Speaker 2>be one of these periods and economics that people are

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<v Speaker 2>going to be writing PhD papers on for fifty years, right,

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<v Speaker 2>kind of like the Great you know, the Great Depression,

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<v Speaker 2>or other periods that are these sort of holy grails

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<v Speaker 2>or Rosetta stones for understanding how the economy works. There's

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<v Speaker 2>going to be so much debate and work and academic

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<v Speaker 2>research and relitigating debates, et cetera about like what happened

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<v Speaker 2>over the last four years.

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<v Speaker 1>I really hope we still have odd lots in twenty

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<v Speaker 1>seventy three, and we'll just do episodes on like what happened.

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<v Speaker 2>My voice will sound better.

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<v Speaker 1>Then, So okay, all right, why don't we just get

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<v Speaker 1>to it. We are going to be speaking with Anna Wong.

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<v Speaker 1>She is the chief US economist for Bloomberg Economics. It's

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<v Speaker 1>the first time we've ever had her on the show,

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<v Speaker 1>which is kind of surprising. Anna, Thank you so much

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<v Speaker 1>for coming on all thoughts, happy.

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<v Speaker 4>To be here at Tracy.

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<v Speaker 1>So, this time last year, why don't you walk us

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<v Speaker 1>through what exactly Bloomberg Economics was expecting. How did you

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<v Speaker 1>expect this particular year to turn out.

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<v Speaker 3>Yeah, So, a year ago, or even more like a

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<v Speaker 3>year and a half ago, we first put out our

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<v Speaker 3>recession model because at the time the feed started hiking

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<v Speaker 3>rates and there was just a lot of curiosity about

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<v Speaker 3>how this would end, and our goal then was to

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<v Speaker 3>have a more precise timing of the probability of recession

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<v Speaker 3>as opposed to just giving a vague what is the

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<v Speaker 3>twelfth month ahead recession? And there's a cottage industry of

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<v Speaker 3>these models out there, and so our model was to

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<v Speaker 3>put out some kind of numbers on each month of

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<v Speaker 3>probability in July, August and over that period since. So

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<v Speaker 3>this this model first came out in spring of twenty

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<v Speaker 3>twenty two, and at that time the model is actually

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<v Speaker 3>foreseeing a recession a high probability of recession only start

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<v Speaker 3>aring towards the end of twenty twenty three and even

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<v Speaker 3>in early twenty twenty four, and over the course of

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<v Speaker 3>last year and this year, that model evolves in terms

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<v Speaker 3>of the timing of when that trigger is pushed. And

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<v Speaker 3>all of the calls of that model has been that

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<v Speaker 3>the recession would begin in the second half of twenty

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<v Speaker 3>twenty three, and so coming into this year, we thought

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<v Speaker 3>that the recession that is so widely expected would be

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<v Speaker 3>towards the end of twenty twenty three.

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<v Speaker 2>Backing for a second, what goes into a recession model

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<v Speaker 2>and what does that even mean? Like how do you

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<v Speaker 2>build or construct a model and something like that.

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<v Speaker 3>Yeah, there's a variety of models, right, So for example,

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<v Speaker 3>our model, we took thirteen indicators, typical indicators that had

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<v Speaker 3>some track record in identifying recessions in the past, and

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<v Speaker 3>most many of them are overlapped with the leis from

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<v Speaker 3>conference sports. So it's yield curve spread sentiment models. And

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<v Speaker 3>so any models that have those two things, yield curve

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<v Speaker 3>spreads and sentiments would tell you there's a high probability

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<v Speaker 3>of recession. Right, Even the LI has over ninety percent

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<v Speaker 3>probability of recession. But another type of models that one

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<v Speaker 3>uses just thinking about the probability that NBER would date

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<v Speaker 3>a recession, and NBR told the public that they usually

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<v Speaker 3>look at six monthly indicators, and so one could perceivably

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<v Speaker 3>be also building models based on that. But of course,

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<v Speaker 3>when we make a call for a recession, that is

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<v Speaker 3>only a very small part of all our inputs. We

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<v Speaker 3>tend to look at things in Bloomberg Economics, in my team,

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<v Speaker 3>we tend to look at things in three ways. We

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<v Speaker 3>approach a question in three ways, and if those three

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<v Speaker 3>ways all say the same thing, then we make the call.

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<v Speaker 3>And so for a recession call last year, we also

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<v Speaker 3>what really influenced our view is the range of other

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<v Speaker 3>theoretical models. So the model recession probability models I just

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<v Speaker 3>described are just empirical models, which has no theoretical frameworks, right,

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<v Speaker 3>But economists, of course and their tools that we have

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<v Speaker 3>generally caliber models. We have the large scales model, we

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<v Speaker 3>have state of the art models, and so we used

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<v Speaker 3>a model on the terminal which is called shock, which

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<v Speaker 3>mimics I.

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<v Speaker 1>Was looking at this earlier. It's pretty cool. Actually, what's

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<v Speaker 1>it called shot shot shok go on the terminal, right.

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<v Speaker 3>And that model mimics the feed's own in house general

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<v Speaker 3>caliber model FIRMUS. And that model would suggest that the

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<v Speaker 3>lags are monetary rate hikes at least on labor market

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<v Speaker 3>should be about eighteen to twenty four months, which is

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<v Speaker 3>about the standard of what has been found in economic literature.

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<v Speaker 3>And then another state of the art model we use

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<v Speaker 3>is a model that central bankers have been discussing a

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<v Speaker 3>lot last year. This is based on a cutting edge

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<v Speaker 3>economic paper, and that was the paper that tipped a

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<v Speaker 3>lot of central bankers off into thinking about shorter legs

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<v Speaker 3>of monetary policy. It's a paper by Bower and Swanson,

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<v Speaker 3>and that was the paper that found that, in fact,

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<v Speaker 3>the legs of monetary policy are much shorter. So we

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<v Speaker 3>also looked at that model, and what those models found,

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<v Speaker 3>especially that Bauer and Swanson, the very cutting edge model,

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<v Speaker 3>is that yes, it's true that the legs of monetary

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<v Speaker 3>policy are shorter for for example, for industrial production, we

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<v Speaker 3>already have seen you know, i P declined for you know,

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<v Speaker 3>over a year, and in fact, the decline of industrial

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<v Speaker 3>productions almost like exactly matched the contour of that model.

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<v Speaker 3>And so that model also says that inflation now responds

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<v Speaker 3>faster to fetch rate hike then you know, back in

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<v Speaker 3>the times of Milton Friedman. But the one area which

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<v Speaker 3>the model says that two areas actually that says that

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<v Speaker 3>the lags of frate hikes still have yet to really

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<v Speaker 3>hit the peak is labor market and also credit market.

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<v Speaker 3>And I think those two are precisely the area where

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<v Speaker 3>we have not seen much adjustment, and that is why

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<v Speaker 3>we don't have most people at least don't think we

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<v Speaker 3>have a recession. Yeah this year.

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<v Speaker 1>That's really interesting, especially putting my former credit market reporter

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<v Speaker 1>on the credit side of it. And I do have

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<v Speaker 1>a pet theory right now that I think I've we've

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<v Speaker 1>talked about, which is that the sheer size of the

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<v Speaker 1>private credit market might be making a difference here, like

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<v Speaker 1>if you have this bundle of money that actually doesn't

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<v Speaker 1>seem to be that rate sensitive in the current environment,

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<v Speaker 1>maybe it's propping up parts of the market. But talk

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<v Speaker 1>to us about why the credit market might not be

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<v Speaker 1>as efficient at transmitting rate hikes as it once was.

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<v Speaker 3>Yeah, I think that this might be the surprise the

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<v Speaker 3>prices in the credit market might be a surprise of

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<v Speaker 3>twenty twenty four, which is well. I think my pet

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<v Speaker 3>theory of why credit market hasn't adjusted yet in twenty

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<v Speaker 3>twenty three is that corporates have locked in low interest

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<v Speaker 3>rate in the last right, everybody knows that.

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<v Speaker 4>And also on.

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<v Speaker 3>The household side, household also had wonderful balance sheets during

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<v Speaker 3>the pandemic. Many households paid down the debt so deleveraged

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<v Speaker 3>during the pandemic. But at the same time, I think

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<v Speaker 3>this is the following areas where I don't think the

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<v Speaker 3>market understands very well for households balance sheets, how really

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<v Speaker 3>how accurate are the credit scores being reflected? So I

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<v Speaker 3>think that the credit for barons, a lot of the

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<v Speaker 3>debt for barance during the pandemic had distorted the credit scores.

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<v Speaker 3>Inflated credit scores, and there are some studies that estimate

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<v Speaker 3>that perhaps by as much as even fifty basis points.

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<v Speaker 3>So a lot of the you know what currently looks

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<v Speaker 3>like to be near prime are actually suprime, and some

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<v Speaker 3>prime could be actually near prime. And then looking at

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<v Speaker 3>auto delinquencies, which has risen to you know, the level

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<v Speaker 3>of twenty ten, right, and you look at who are

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<v Speaker 3>the ones who are defaulting. They're the ones who bought

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<v Speaker 3>cars in twenty twenty one and twenty twenty two when

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<v Speaker 3>car prices were extremely high, and they are also the

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<v Speaker 3>ones who are having suprime and near prime credit ratings.

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<v Speaker 3>So the question, I think in twenty twenty four is

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<v Speaker 3>how many of these borrowers who have leveraged up in

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<v Speaker 3>the past two years are in fact the credit rating

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<v Speaker 3>that the good credit quality that they looked to be like.

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<v Speaker 3>And when the moment that more defaults happen, As you know,

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<v Speaker 3>prices slow when inflation slows, what else happens is income slows,

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<v Speaker 3>wage grows slow, and that that is if interest rate

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<v Speaker 3>doesn't fall as fast. So suppose that the Fed do

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<v Speaker 3>ultimately do hold higher for longer whereas income and prices.

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<v Speaker 4>Are coming down.

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<v Speaker 3>That would means that there would be more delinquencies. So

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<v Speaker 3>when that moment happened, whether there will be a credit

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<v Speaker 3>crunch versus just a normal gradual credit slowed down depends

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<v Speaker 3>on how the lenders is seeing the information. Right, This

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<v Speaker 3>is the famous at first selection issue is like, if

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<v Speaker 3>there's a portion of people whose credit scores don't appappropriately

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<v Speaker 3>reflect their true behavior, do lenders can lender sees who

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<v Speaker 3>are the bad seats who are not? And this is

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<v Speaker 3>like a famous a symmetry in the used car market, right,

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<v Speaker 3>This is why it's very hard.

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<v Speaker 5>Market for lemons, right, right, What is the takeaway from

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<v Speaker 5>the realized disinflation.

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<v Speaker 2>That we've seen? You know, I think at one point,

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<v Speaker 2>CPI is around nine percent now where basically you can

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<v Speaker 2>argue that in recent months we are by some measures

0:13:36.679 --> 0:13:39.680
<v Speaker 2>at the Fed's target, and yet unemployment is at three

0:13:39.720 --> 0:13:42.439
<v Speaker 2>point seven percent. And that was a set of conditions

0:13:42.480 --> 0:13:46.280
<v Speaker 2>that very few people would have anticipated was even possible,

0:13:46.360 --> 0:13:48.920
<v Speaker 2>in part because the standard story as well, you need

0:13:48.960 --> 0:13:52.000
<v Speaker 2>to reduce demand to use prices, and the way you

0:13:52.080 --> 0:13:56.520
<v Speaker 2>use demand is by people unfortunately having to lose their jobs.

0:13:57.120 --> 0:13:59.880
<v Speaker 2>What have we learned about, at least what we've seen

0:14:00.120 --> 0:14:00.760
<v Speaker 2>so far in.

0:14:00.760 --> 0:14:04.840
<v Speaker 3>This cycle, Yeah, Joe, So I would say one will

0:14:04.880 --> 0:14:08.080
<v Speaker 3>have to acknowledge that it's going better than what everybody

0:14:08.120 --> 0:14:13.079
<v Speaker 3>thought at first, that it will have to be extremely painless.

0:14:13.400 --> 0:14:16.400
<v Speaker 3>But at the same time, I think, as as Powell

0:14:16.440 --> 0:14:19.720
<v Speaker 3>said yesterday, it is too soon to declare victory on

0:14:20.480 --> 0:14:26.040
<v Speaker 3>flamee inflation. And and here's why. So so, based on

0:14:26.160 --> 0:14:29.880
<v Speaker 3>various model decomposition of the drivers of inflation over the

0:14:29.960 --> 0:14:33.240
<v Speaker 3>last two years, our assessment is that half of it

0:14:33.280 --> 0:14:35.800
<v Speaker 3>is driven by supply and about half of it is

0:14:35.880 --> 0:14:39.800
<v Speaker 3>driven by demand. But of course it's the mixture of

0:14:39.840 --> 0:14:43.760
<v Speaker 3>those two high demand while supply is heard which led

0:14:43.760 --> 0:14:48.000
<v Speaker 3>to this explosive inflation. Right. And in terms of inflation,

0:14:48.120 --> 0:14:52.000
<v Speaker 3>we saw this year earlier this year when SVB collapsed.

0:14:52.880 --> 0:14:56.840
<v Speaker 3>At that time the CPI recall, it was actually falling

0:14:56.960 --> 0:15:00.000
<v Speaker 3>and everybody thought, uh, inflation is not a problem. But

0:15:00.480 --> 0:15:06.480
<v Speaker 3>infect the supercore, which is Powell's preferred measure, which captures

0:15:06.520 --> 0:15:12.440
<v Speaker 3>the labor intensive part of inflation, was not slowing at all.

0:15:12.680 --> 0:15:15.280
<v Speaker 3>But then moving into the second half of this year,

0:15:15.400 --> 0:15:19.680
<v Speaker 3>we start to see a lot of disinflation and it

0:15:19.760 --> 0:15:22.840
<v Speaker 3>actually start in June this year. And this is where

0:15:22.880 --> 0:15:26.760
<v Speaker 3>I said that you know, the lacks of monetary policy

0:15:26.760 --> 0:15:30.280
<v Speaker 3>on labor market is about eighteen to twenty four months,

0:15:30.760 --> 0:15:35.080
<v Speaker 3>so that slowed down in wage growth actually hit right

0:15:35.160 --> 0:15:38.880
<v Speaker 3>about the time that all these models would suggest, and

0:15:39.320 --> 0:15:42.480
<v Speaker 3>so we started seeing movement in that, but still core

0:15:42.600 --> 0:15:47.960
<v Speaker 3>inflation is still around four percent during the summer. On

0:15:48.000 --> 0:15:52.120
<v Speaker 3>the second day of the December FOMC meeting, the FOMC

0:15:52.360 --> 0:15:55.920
<v Speaker 3>received a very critical data point. It is the November's

0:15:56.160 --> 0:16:02.240
<v Speaker 3>c PPI sorry, and so feed staff usually can pull

0:16:02.320 --> 0:16:05.960
<v Speaker 3>together a PCE inflation number very quickly the moment they

0:16:06.000 --> 0:16:10.240
<v Speaker 3>have both CPI and PPI numbers in their hand. So

0:16:10.360 --> 0:16:14.960
<v Speaker 3>on the second day of December FOMC meeting, that PPI

0:16:15.160 --> 0:16:20.080
<v Speaker 3>number came in to suggest that actually core PCE for

0:16:20.200 --> 0:16:24.040
<v Speaker 3>November is going to be very low, as we estimate

0:16:24.080 --> 0:16:29.040
<v Speaker 3>that it's only zero point zero four percent, possibly so

0:16:29.440 --> 0:16:35.160
<v Speaker 3>round to zero in November, and this would mean that

0:16:35.240 --> 0:16:38.880
<v Speaker 3>the six month annualized core PCE, this is the measure

0:16:39.000 --> 0:16:42.040
<v Speaker 3>that Chris Waller and a lot of FED officials are

0:16:42.080 --> 0:16:45.400
<v Speaker 3>looking and engaging, the momentum of inflation would come in

0:16:45.440 --> 0:16:51.520
<v Speaker 3>at two point zero likely in November, right at the

0:16:51.560 --> 0:16:56.120
<v Speaker 3>FET's target. So the FOMC has that data point on

0:16:56.160 --> 0:16:59.960
<v Speaker 3>the second day, in the morning of the December FOMC meeting,

0:17:00.520 --> 0:17:06.120
<v Speaker 3>and that explained why the Summary of Economic Projection see

0:17:06.720 --> 0:17:09.640
<v Speaker 3>downward revision of core PCE to only three point two

0:17:09.640 --> 0:17:13.399
<v Speaker 3>percent for end of twenty twenty three. Now, how do

0:17:13.440 --> 0:17:17.520
<v Speaker 3>you make of this significant drop in core PCE, right,

0:17:18.000 --> 0:17:21.520
<v Speaker 3>And so I would say that when this number ultimately

0:17:21.600 --> 0:17:25.800
<v Speaker 3>is publicly released late in December, I think it would

0:17:25.800 --> 0:17:29.040
<v Speaker 3>spark a big debate. On one side, a lot of

0:17:29.080 --> 0:17:31.840
<v Speaker 3>people would say the FED is already at target, they

0:17:31.840 --> 0:17:35.440
<v Speaker 3>should be cutting rates in January even But the second

0:17:36.600 --> 0:17:38.800
<v Speaker 3>second group of people, and I would be in that

0:17:38.840 --> 0:17:42.000
<v Speaker 3>second group of people, would be saying that, but a

0:17:42.000 --> 0:17:46.399
<v Speaker 3>lot of the disinflation in November is actually in categories

0:17:46.520 --> 0:17:51.000
<v Speaker 3>that's exhaustions to the feds R effect. It's due to China.

0:17:51.080 --> 0:17:54.960
<v Speaker 3>If you look at the downside surprises, it's actually all

0:17:55.040 --> 0:18:03.480
<v Speaker 3>in categories that with high China import contents there in apparels, clothing, furnishings,

0:18:03.880 --> 0:18:07.720
<v Speaker 3>and those actually drove almost all of the downward surprises.

0:18:08.119 --> 0:18:11.080
<v Speaker 3>So what I'm I think is happening, and this give

0:18:11.160 --> 0:18:13.879
<v Speaker 3>me some memory of what happened in twenty fourteen and

0:18:14.000 --> 0:18:19.479
<v Speaker 3>twenty fifteen was you have global growth slowed down and

0:18:19.560 --> 0:18:24.359
<v Speaker 3>start by China, and then that led to commodity prices decline.

0:18:24.720 --> 0:18:29.000
<v Speaker 3>And also that also sometimes when global growth slowed down

0:18:29.240 --> 0:18:33.280
<v Speaker 3>occasionally that could also lead to OPEK having trouble keeping

0:18:33.359 --> 0:18:35.440
<v Speaker 3>a discipline with an OPAC and that leads to a

0:18:35.520 --> 0:18:37.159
<v Speaker 3>race to the bottom. On top of that, you have

0:18:37.280 --> 0:18:40.000
<v Speaker 3>US shale who's pumping suddenly a lot more of that

0:18:40.040 --> 0:18:44.520
<v Speaker 3>actually was the dynamics in twenty fifteen and twenty fourteen

0:18:44.560 --> 0:18:46.880
<v Speaker 3>that led to that collapse in oil prices. So when

0:18:46.920 --> 0:18:50.400
<v Speaker 3>you have this trying to slow down and what's going

0:18:50.440 --> 0:18:54.879
<v Speaker 3>on with oil prices, you actually could lead to this

0:18:55.359 --> 0:18:58.359
<v Speaker 3>dissiplation that we're seeing right now. But the implication is

0:18:58.400 --> 0:19:03.080
<v Speaker 3>also that for the part that the FED has been

0:19:03.840 --> 0:19:08.720
<v Speaker 3>focusing on supercore services that actually doesn't look as great.

0:19:08.800 --> 0:19:12.840
<v Speaker 3>So services inflation actually picked up a little bit in

0:19:12.920 --> 0:19:16.560
<v Speaker 3>November in the core PCE, So I think for the

0:19:16.600 --> 0:19:20.600
<v Speaker 3>FED to declare victory too soon would be a mistake.

0:19:20.720 --> 0:19:25.000
<v Speaker 3>And just looking an outlook our outlook out to twenty

0:19:25.040 --> 0:19:28.960
<v Speaker 3>twenty four, we do see the six month annualized core

0:19:29.040 --> 0:19:33.120
<v Speaker 3>PCE dipping in the first half of twenty twenty four

0:19:33.240 --> 0:19:36.399
<v Speaker 3>and dropping to even two point two percent in March

0:19:37.040 --> 0:19:40.119
<v Speaker 3>and then stabilizing it about two point seven percent in

0:19:40.160 --> 0:19:42.679
<v Speaker 3>the second half of the year, and that would be

0:19:42.760 --> 0:19:46.800
<v Speaker 3>that last mile of inflation, because the FED should not

0:19:46.880 --> 0:19:49.600
<v Speaker 3>be happy about two point seven or two point eight

0:19:49.600 --> 0:19:50.480
<v Speaker 3>percent inflation.

0:19:51.320 --> 0:19:54.480
<v Speaker 1>I definitely want to discuss the outlook a little bit more,

0:19:54.600 --> 0:19:59.760
<v Speaker 1>but before we do, I'm glad you mentioned these exogenous factors,

0:20:00.200 --> 0:20:04.000
<v Speaker 1>these exogenous price declines, because there is you know, twenty

0:20:04.040 --> 0:20:06.560
<v Speaker 1>twenty three has turned out to be better than a

0:20:06.560 --> 0:20:09.560
<v Speaker 1>lot of people expected, but there is now this vibrant

0:20:09.640 --> 0:20:12.520
<v Speaker 1>debate about how much of that can be attributed to

0:20:12.760 --> 0:20:17.040
<v Speaker 1>the rate hikes and by extension, the FED. So I

0:20:17.040 --> 0:20:20.959
<v Speaker 1>guess my question is how do you think FED tightening

0:20:21.040 --> 0:20:25.080
<v Speaker 1>has actually worked through this economy and how much of

0:20:25.320 --> 0:20:28.320
<v Speaker 1>what we've seen so far is due to monetary policy

0:20:28.440 --> 0:20:32.600
<v Speaker 1>versus perhaps normalization of things like supply chains.

0:20:32.960 --> 0:20:36.359
<v Speaker 3>Yeah, good, good question, Tracy. You know, I think the

0:20:36.359 --> 0:20:40.640
<v Speaker 3>way that monetary policy has worked this year is largely

0:20:40.760 --> 0:20:44.000
<v Speaker 3>as the models expected. As I was saying, if you

0:20:44.160 --> 0:20:47.200
<v Speaker 3>use the state of the art models, you would see

0:20:47.560 --> 0:20:52.520
<v Speaker 3>industrial production has declined exactly according to that contour that

0:20:52.520 --> 0:20:59.160
<v Speaker 3>the model would describe inflation as well, and the places

0:20:59.240 --> 0:21:04.640
<v Speaker 3>where which has not been behaving as models would describe

0:21:04.680 --> 0:21:07.639
<v Speaker 3>would be the credit market and labor market. But even so,

0:21:08.320 --> 0:21:11.080
<v Speaker 3>the labor market in fact is moving in the direction

0:21:11.160 --> 0:21:15.680
<v Speaker 3>that the model would describe. So you know, with eighteen

0:21:15.720 --> 0:21:19.200
<v Speaker 3>to twenty four month lag of monetary policy on labor market,

0:21:19.440 --> 0:21:23.280
<v Speaker 3>we should be seeing a more clear slow down in

0:21:23.880 --> 0:21:27.760
<v Speaker 3>job job growth in the second half of this year,

0:21:27.760 --> 0:21:29.480
<v Speaker 3>and I think we did see that. And I will

0:21:29.480 --> 0:21:32.600
<v Speaker 3>also have to add that the strong non farm payroll

0:21:32.720 --> 0:21:38.239
<v Speaker 3>data over the year is likely to be overestimating the

0:21:38.280 --> 0:21:42.240
<v Speaker 3>strength of the labor market. That in fact, about forty

0:21:42.280 --> 0:21:46.199
<v Speaker 3>percent of the three million non farm payroll gains is

0:21:46.280 --> 0:21:49.439
<v Speaker 3>due to a biel as birth and death models. So

0:21:50.080 --> 0:21:53.679
<v Speaker 3>if you think about whether this makes sense, so you know,

0:21:53.720 --> 0:21:57.000
<v Speaker 3>this is a year where bankruptcy has risen to the

0:21:57.119 --> 0:22:00.600
<v Speaker 3>level of twenty ten. Right at the same time, business

0:22:00.680 --> 0:22:03.679
<v Speaker 3>are complaining that it's been very hard for them to hire.

0:22:04.000 --> 0:22:06.280
<v Speaker 3>So if that's the case, how could it be that

0:22:06.400 --> 0:22:10.920
<v Speaker 3>new firms could contribute to forty percent of the three

0:22:11.040 --> 0:22:14.120
<v Speaker 3>million job gains this year? So I think I think

0:22:14.160 --> 0:22:17.760
<v Speaker 3>that in fact, after all the revisions are done, which

0:22:17.800 --> 0:22:20.640
<v Speaker 3>will take a year or two more then it will

0:22:20.640 --> 0:22:23.359
<v Speaker 3>be it will be clear that, in fact in twenty

0:22:23.400 --> 0:22:27.720
<v Speaker 3>twenty three, the job market did slow down significantly in

0:22:27.760 --> 0:22:29.160
<v Speaker 3>the second half of this year.

0:22:30.400 --> 0:22:33.159
<v Speaker 2>What do you see in the data that makes you

0:22:33.480 --> 0:22:38.280
<v Speaker 2>thinking that the strength of the labor market is overstated,

0:22:38.320 --> 0:22:40.639
<v Speaker 2>because I mean, if small businesses are still to this

0:22:40.800 --> 0:22:44.040
<v Speaker 2>day and on, we like I said, you know, recording

0:22:44.040 --> 0:22:46.720
<v Speaker 2>this December fourteenth. Earlier in the week we got the

0:22:46.840 --> 0:22:50.240
<v Speaker 2>NFIB survey which said that labor, finding labor is still

0:22:50.280 --> 0:22:53.240
<v Speaker 2>a challenge for many companies. It's like in the first

0:22:53.520 --> 0:22:56.520
<v Speaker 2>one or two paragraphs of the report that sounds like

0:22:56.560 --> 0:22:59.840
<v Speaker 2>a robust type labor market. So what do you see

0:23:00.119 --> 0:23:03.960
<v Speaker 2>the data that makes you think that it's there is

0:23:04.000 --> 0:23:05.159
<v Speaker 2>this acceleration going on.

0:23:05.840 --> 0:23:11.720
<v Speaker 3>Yeah, several things. So I think the difference between our views,

0:23:11.760 --> 0:23:14.760
<v Speaker 3>our assessment of the labor market and other soft landing

0:23:14.920 --> 0:23:18.760
<v Speaker 3>really staunch soft Landers view of the labor market really

0:23:18.920 --> 0:23:24.000
<v Speaker 3>differs only in how much weight we place in different

0:23:24.119 --> 0:23:30.640
<v Speaker 3>labor market indicators. For example, job openings, so that has

0:23:30.720 --> 0:23:33.720
<v Speaker 3>been very high throughout this year, and in fact, for

0:23:33.800 --> 0:23:36.120
<v Speaker 3>most of most of this year it was still over

0:23:36.200 --> 0:23:40.720
<v Speaker 3>one point eight vacancies for every unemployed. But we put

0:23:40.920 --> 0:23:44.480
<v Speaker 3>very little weight in that data because, first of all,

0:23:44.800 --> 0:23:48.679
<v Speaker 3>a lot of HR recruiters have been fired over the

0:23:48.760 --> 0:23:52.200
<v Speaker 3>turn of last year, and so logically you would ask

0:23:52.240 --> 0:23:55.840
<v Speaker 3>yourself if so, if most of the layoffs late in

0:23:55.880 --> 0:23:58.399
<v Speaker 3>twenty twenty two in early twenty twenty two is in

0:23:58.440 --> 0:24:01.720
<v Speaker 3>the recruitment industry, than who are the people you know

0:24:02.480 --> 0:24:07.200
<v Speaker 3>looking for jobs and recruiting people? And second, we do

0:24:07.440 --> 0:24:11.679
<v Speaker 3>rely on anecdotes, and in turning points of and economy,

0:24:11.880 --> 0:24:17.240
<v Speaker 3>anecdotes are extremely useful because they don't get revised, and

0:24:17.240 --> 0:24:19.960
<v Speaker 3>and the FED also relies a lot on Facebook and

0:24:20.040 --> 0:24:24.160
<v Speaker 3>anecdotes during turning points as well. But so we thought

0:24:24.200 --> 0:24:28.119
<v Speaker 3>that the JULTS was just overstating and and but what

0:24:28.240 --> 0:24:32.000
<v Speaker 3>gives us more confidence are the price measures, so wage growth,

0:24:33.080 --> 0:24:36.320
<v Speaker 3>And throughout the year we have seen wage growth measures

0:24:36.359 --> 0:24:40.359
<v Speaker 3>coming down softer and softer, even as you see these

0:24:40.720 --> 0:24:45.119
<v Speaker 3>headline numbers being very strong in terms of hero gains

0:24:45.160 --> 0:24:49.520
<v Speaker 3>and job openings. And I do believe that that price

0:24:49.600 --> 0:24:55.959
<v Speaker 3>measures are better collected and less susceptible to revisions because

0:24:56.040 --> 0:25:00.880
<v Speaker 3>you just collect a price data, right, whereas with counting

0:25:00.920 --> 0:25:03.479
<v Speaker 3>the number of jobs you need to you need to

0:25:03.720 --> 0:25:08.080
<v Speaker 3>consider are you appropriately taking account of all the failed firms,

0:25:08.119 --> 0:25:11.920
<v Speaker 3>because firms who are going bankrupt would not be answering

0:25:12.040 --> 0:25:16.840
<v Speaker 3>surveys of how many people they hired and so so

0:25:17.480 --> 0:25:20.199
<v Speaker 3>you know, so that's why we put a lot more

0:25:20.920 --> 0:25:24.800
<v Speaker 3>focused on price measures, which suggests to us us that

0:25:24.840 --> 0:25:27.359
<v Speaker 3>in fact, the laborer market is softening more. And also

0:25:27.560 --> 0:25:32.479
<v Speaker 3>we look at a range of recession rules that are

0:25:32.640 --> 0:25:36.040
<v Speaker 3>that are based on unemployment, and so, uh.

0:25:36.000 --> 0:25:38.920
<v Speaker 1>Yeah, Bloomberg Economics has its own recession rule. I didn't

0:25:38.920 --> 0:25:39.359
<v Speaker 1>realize that.

0:25:39.920 --> 0:25:43.240
<v Speaker 3>Yes, So a couple weeks ago I have a piece

0:25:43.280 --> 0:25:46.760
<v Speaker 3>with Bill Dudley and we consider twenty eight recession rules

0:25:46.760 --> 0:25:49.080
<v Speaker 3>that are based on unemployment. And the idea is that

0:25:49.480 --> 0:25:54.159
<v Speaker 3>unemployment is a very good indicator because number one, it

0:25:54.200 --> 0:25:59.360
<v Speaker 3>doesn't really get revised, and number two, it also unemployment

0:25:59.359 --> 0:26:04.440
<v Speaker 3>a job is the most important variable economy that determines

0:26:04.480 --> 0:26:09.440
<v Speaker 3>income consumption saving patterns. So that's why I would focus

0:26:09.520 --> 0:26:13.560
<v Speaker 3>on unemployment. And so an unemployment rate is just the

0:26:13.640 --> 0:26:17.240
<v Speaker 3>inflows of people into the unemployed state minus the people

0:26:17.440 --> 0:26:21.320
<v Speaker 3>escaping the unemployed state, divided by the labor force. Right,

0:26:21.359 --> 0:26:25.919
<v Speaker 3>that is the unemployment rate. But even within unemployed states,

0:26:26.040 --> 0:26:31.240
<v Speaker 3>there's a lot of different categories. The most commonly used

0:26:31.280 --> 0:26:33.919
<v Speaker 3>unemployment rate is the U three rate, the rate that

0:26:33.960 --> 0:26:38.640
<v Speaker 3>we know about, but they are also U one, which

0:26:38.720 --> 0:26:42.119
<v Speaker 3>measures the number of people who have been unemployed for

0:26:42.240 --> 0:26:46.440
<v Speaker 3>fifteen months or longer. There's also U two rate, which

0:26:46.560 --> 0:26:50.160
<v Speaker 3>measures the people who are laid off and who are

0:26:50.440 --> 0:26:54.439
<v Speaker 3>temporary workers who finish their temporary stint. And so our

0:26:54.480 --> 0:26:57.520
<v Speaker 3>twenty eight rules basically look at these three unemployment rates

0:26:57.920 --> 0:27:03.240
<v Speaker 3>as well as just flow inflows and outflows. And in fact,

0:27:03.960 --> 0:27:08.280
<v Speaker 3>back in January two thousand and eight, Janet Yeallen was

0:27:08.359 --> 0:27:11.320
<v Speaker 3>discussing the state of the labor market in the FOMC

0:27:11.440 --> 0:27:15.640
<v Speaker 3>meeting then, and she was the San Francisco FED president then,

0:27:15.920 --> 0:27:19.479
<v Speaker 3>and she talked about unemployment flows. And so when you

0:27:19.520 --> 0:27:22.640
<v Speaker 3>see a lot more people flowing into the unemployed state

0:27:22.680 --> 0:27:25.080
<v Speaker 3>but having a hard time getting out of it, that

0:27:25.240 --> 0:27:27.880
<v Speaker 3>is how you get a swelling of the unemployment rate.

0:27:28.440 --> 0:27:32.280
<v Speaker 3>And you don't necessarily need layoffs to get to get

0:27:32.320 --> 0:27:36.000
<v Speaker 3>a higher flow of unemployed, right It could be re

0:27:36.280 --> 0:27:39.600
<v Speaker 3>entrance into the labor market or new entrants into labor market.

0:27:40.040 --> 0:27:44.119
<v Speaker 3>And in fact, in the most three the nineteen ninety,

0:27:44.200 --> 0:27:47.240
<v Speaker 3>two thousand and one, two thousand and seven recession, the

0:27:47.359 --> 0:27:51.320
<v Speaker 3>initial increase in unemployment rate is actually due to entrance,

0:27:51.520 --> 0:27:57.000
<v Speaker 3>new entrants and reentrant, not layoffs. So the most accurate

0:27:57.560 --> 0:28:00.639
<v Speaker 3>rule that we have found is the unemployment flows and

0:28:00.680 --> 0:28:05.399
<v Speaker 3>outflows indicator that whenever the six month moving average of

0:28:05.560 --> 0:28:10.720
<v Speaker 3>unemployed inflows exceed outflows is when you are about two

0:28:10.880 --> 0:28:16.520
<v Speaker 3>months after a recession begin. And I think the intuition

0:28:16.680 --> 0:28:20.080
<v Speaker 3>there is just that usually the beginning of a recession

0:28:20.200 --> 0:28:24.000
<v Speaker 3>begin with people just finding harder to find a job,

0:28:24.320 --> 0:28:27.520
<v Speaker 3>not because there's layoffs, but because there are less people quitting,

0:28:27.960 --> 0:28:31.919
<v Speaker 3>less turnover, so it's harder to find a job. And

0:28:32.000 --> 0:28:36.000
<v Speaker 3>only after this, you know, the stagnant state goes on

0:28:36.119 --> 0:28:39.320
<v Speaker 3>for a while and labor market when firms decided because

0:28:39.320 --> 0:28:41.600
<v Speaker 3>of the low attrition, they have to lay off people,

0:28:41.600 --> 0:28:43.760
<v Speaker 3>and that's where you get all the layoffs. That's the

0:28:44.280 --> 0:28:47.880
<v Speaker 3>increase in you tube rate. So based on these this rule,

0:28:48.880 --> 0:28:52.640
<v Speaker 3>it suggests that we have we are likely already in

0:28:52.680 --> 0:28:55.520
<v Speaker 3>this state of downturn. And that is why we think

0:28:55.560 --> 0:28:58.440
<v Speaker 3>that you know, a year from now, or even a

0:28:58.520 --> 0:29:00.920
<v Speaker 3>year and a half from now, if beer word to

0:29:02.240 --> 0:29:05.240
<v Speaker 3>time the beginning of a recession, I think October could

0:29:05.280 --> 0:29:09.200
<v Speaker 3>be a candidate. And usually after this rule is triggered

0:29:09.280 --> 0:29:15.400
<v Speaker 3>on employment rate would persistently increase because because it's just

0:29:15.480 --> 0:29:17.080
<v Speaker 3>harder and harder for people to find.

0:29:17.280 --> 0:29:36.200
<v Speaker 1>Yeah, it's exponential. So you mentioned the Psalm rule, and

0:29:36.320 --> 0:29:39.400
<v Speaker 1>we had Claudia sam on the show a few weeks ago,

0:29:40.120 --> 0:29:43.960
<v Speaker 1>and she has made the point in many venues now.

0:29:44.120 --> 0:29:47.680
<v Speaker 1>But the idea that yes, the Psalm rule exists, and

0:29:47.800 --> 0:29:51.400
<v Speaker 1>it is one of twenty eight recession rules, as you

0:29:51.480 --> 0:29:54.560
<v Speaker 1>just mentioned, Anna, but it is just a rule. It

0:29:54.640 --> 0:29:58.479
<v Speaker 1>is just a guide, and the economic cycle of the

0:29:58.520 --> 0:30:01.840
<v Speaker 1>post pandemic period has been so unusual that there is

0:30:01.880 --> 0:30:05.240
<v Speaker 1>a good chance that maybe the rule doesn't apply to

0:30:05.440 --> 0:30:09.320
<v Speaker 1>this particular cycle. I'm curious how you factor in I

0:30:09.360 --> 0:30:17.360
<v Speaker 1>guess the extraordinary unusualness of the COVID period into your outlook.

0:30:17.440 --> 0:30:20.280
<v Speaker 1>Is that something that you take into account when you're

0:30:20.320 --> 0:30:25.480
<v Speaker 1>looking at things like the relationship between unemployment and the economy.

0:30:25.520 --> 0:30:29.880
<v Speaker 1>Would you adjust those models for I guess the weirdness

0:30:30.000 --> 0:30:32.600
<v Speaker 1>of the post pandemic economy definitely.

0:30:33.080 --> 0:30:36.360
<v Speaker 3>And that's one of the reasons why we were never

0:30:36.720 --> 0:30:39.280
<v Speaker 3>calling for a recession in twenty twenty two or even

0:30:39.360 --> 0:30:42.200
<v Speaker 3>first half of this year, because the most important thing

0:30:42.240 --> 0:30:45.320
<v Speaker 3>to adjust for in terms of the unusualness of the

0:30:45.320 --> 0:30:49.920
<v Speaker 3>pandemic is the excellent balance sheet of household and corporates right,

0:30:50.280 --> 0:30:54.320
<v Speaker 3>And you could only really time the downturn once you

0:30:54.320 --> 0:31:00.520
<v Speaker 3>have a good understanding of when those cushion financial buffers

0:31:00.520 --> 0:31:03.960
<v Speaker 3>that people have built up build up exhaust themselves. And

0:31:04.040 --> 0:31:09.200
<v Speaker 3>also another very special factor about the pandemic is this

0:31:09.720 --> 0:31:13.480
<v Speaker 3>labor shortage, and that could be a reason for why

0:31:13.680 --> 0:31:17.760
<v Speaker 3>firms would be hoarding war labors and therefore less likely

0:31:17.840 --> 0:31:21.360
<v Speaker 3>to let people go. However, I would say that we

0:31:21.440 --> 0:31:25.560
<v Speaker 3>did we always supplement our model based or rule thumb

0:31:25.640 --> 0:31:30.000
<v Speaker 3>based analysis with historical analysis, and we went back to

0:31:30.080 --> 0:31:33.760
<v Speaker 3>look at the Beige books, the FOMC transcripts, real time

0:31:33.920 --> 0:31:39.800
<v Speaker 3>FOMC minutes of previous recessions, and we found that labor

0:31:39.880 --> 0:31:44.720
<v Speaker 3>shortage is always a problem in previous recession effect. In

0:31:44.840 --> 0:31:48.920
<v Speaker 3>nineteen seventy three, that was at that time the deepest

0:31:49.720 --> 0:31:56.240
<v Speaker 3>recession since World War Two. Employment was climbing even eleven

0:31:56.280 --> 0:32:00.360
<v Speaker 3>months after the recession began. And also that was also

0:32:00.440 --> 0:32:04.320
<v Speaker 3>a recession where everybody in the FMC at that time

0:32:04.480 --> 0:32:06.719
<v Speaker 3>was talking about how tight the labor market was. There

0:32:06.800 --> 0:32:12.200
<v Speaker 3>was enormous labor shortage, and that was why even eleven months,

0:32:12.240 --> 0:32:16.760
<v Speaker 3>only eleven months into that recession did employment turn negative.

0:32:17.200 --> 0:32:19.240
<v Speaker 3>And then also the Beige Book, if you go back

0:32:19.240 --> 0:32:23.040
<v Speaker 3>to the Page Book in two thousand and one, and

0:32:23.080 --> 0:32:26.760
<v Speaker 3>that is the recession that I think if we were

0:32:26.800 --> 0:32:30.080
<v Speaker 3>to have one today would be most likely to resemble

0:32:30.640 --> 0:32:34.200
<v Speaker 3>that one. Was where everybody actually lived through that recession

0:32:34.520 --> 0:32:37.520
<v Speaker 3>before realizing that there's even one and by the time

0:32:37.960 --> 0:32:42.280
<v Speaker 3>NBR announced it's already over. And at that time, what

0:32:42.400 --> 0:32:46.280
<v Speaker 3>people were talking about when that recession started was that

0:32:47.040 --> 0:32:50.320
<v Speaker 3>labor market is very tight. There's a lot of shortages.

0:32:50.720 --> 0:32:54.720
<v Speaker 3>There were pockets of weaknesses manufacturing as in hiring, and

0:32:55.360 --> 0:32:58.959
<v Speaker 3>it's hard to get a manual labor. There are decreased

0:32:59.000 --> 0:33:03.880
<v Speaker 3>demand for temporary workers, but there's also shortages of white collars.

0:33:05.000 --> 0:33:09.560
<v Speaker 3>So it actually always this, this narrative of labor shortage,

0:33:10.280 --> 0:33:15.280
<v Speaker 3>tight labor market always existed in the first month of recessions.

0:33:15.360 --> 0:33:18.360
<v Speaker 3>That's that's so this is why we to us it

0:33:18.480 --> 0:33:22.760
<v Speaker 3>was not a powerful enough of an argument to push

0:33:22.840 --> 0:33:28.440
<v Speaker 3>back against a embarraical regularity. That actually, to be honest,

0:33:28.480 --> 0:33:31.040
<v Speaker 3>I don't think econdoms have a very good understanding about

0:33:31.040 --> 0:33:35.360
<v Speaker 3>and so if we don't understand why unemployment rate would

0:33:35.400 --> 0:33:38.680
<v Speaker 3>always jump by another, you know, one point five percentage

0:33:38.720 --> 0:33:41.840
<v Speaker 3>point after jumping one point zero point five percentage point.

0:33:42.200 --> 0:33:43.080
<v Speaker 4>Then it's very.

0:33:42.880 --> 0:33:46.520
<v Speaker 3>Hard to uh deconstruct this argument if you don't even

0:33:46.600 --> 0:33:48.200
<v Speaker 3>know why it is that way.

0:33:48.680 --> 0:33:52.160
<v Speaker 1>So speaking of things that economists might not have a

0:33:52.200 --> 0:33:55.080
<v Speaker 1>great understanding of. You kind of touched on this earlier.

0:33:55.120 --> 0:33:59.000
<v Speaker 1>But the other big debate of the moment is this

0:33:59.120 --> 0:33:59.600
<v Speaker 1>idea of.

0:33:59.560 --> 0:34:01.160
<v Speaker 4>Hard versus soft data.

0:34:01.240 --> 0:34:04.240
<v Speaker 1>So the hard data is still coming in relatively strong,

0:34:04.320 --> 0:34:07.040
<v Speaker 1>although as you point out, maybe it gets revised down later.

0:34:07.600 --> 0:34:12.799
<v Speaker 1>These surveys, the soft data are pretty bad, at least

0:34:12.840 --> 0:34:15.279
<v Speaker 1>up until recently. There's been some improvement. But if you

0:34:15.280 --> 0:34:18.560
<v Speaker 1>were looking at something like the consumer sentiment survey earlier

0:34:18.640 --> 0:34:22.120
<v Speaker 1>this year, you probably would have thought the recession was

0:34:22.200 --> 0:34:25.960
<v Speaker 1>already here. How are you squaring those two variables, the

0:34:26.040 --> 0:34:26.879
<v Speaker 1>soft and the hard.

0:34:27.440 --> 0:34:33.640
<v Speaker 3>Yeah, so soft indicator sentiment indicators have not really played

0:34:33.640 --> 0:34:36.520
<v Speaker 3>a key role in our recession, call for the reason

0:34:36.560 --> 0:34:40.000
<v Speaker 3>that you mentioned, And I do agree that if you

0:34:40.120 --> 0:34:45.520
<v Speaker 3>look at the decomposition of the sentiment, it's driven by

0:34:45.600 --> 0:34:51.319
<v Speaker 3>political party lines. However, I would say that it is

0:34:51.400 --> 0:34:57.000
<v Speaker 3>important to take into account people's lift experience because ultimately,

0:34:57.080 --> 0:35:02.759
<v Speaker 3>people's ultimately, and I stress the ultimately people's behavior is

0:35:02.800 --> 0:35:05.920
<v Speaker 3>a function of how they feel the world is going

0:35:06.000 --> 0:35:09.560
<v Speaker 3>to be like. And I could understand why sentiment is

0:35:09.640 --> 0:35:13.160
<v Speaker 3>very poor because you know, the key, the key reason,

0:35:13.360 --> 0:35:16.600
<v Speaker 3>the key explanation is that price levels are still high.

0:35:17.120 --> 0:35:21.240
<v Speaker 3>And you know, not only in US, but all around

0:35:21.239 --> 0:35:23.600
<v Speaker 3>the world. When you look at countries that has suffered

0:35:23.640 --> 0:35:27.800
<v Speaker 3>from high inflation, what happened is that the relative levels

0:35:27.880 --> 0:35:33.840
<v Speaker 3>of prices in the economy is completely distorted, and it

0:35:33.920 --> 0:35:37.320
<v Speaker 3>takes a while for these relative levels to return to normal,

0:35:38.080 --> 0:35:42.840
<v Speaker 3>even if the growth rate of inflation falls to two percent.

0:35:43.200 --> 0:35:46.239
<v Speaker 3>In fact, everything is there a different For example, the

0:35:46.280 --> 0:35:51.760
<v Speaker 3>price of a burger relative to you know, my income

0:35:51.960 --> 0:35:56.440
<v Speaker 3>is permanently higher. And also, you know, if your heater

0:35:56.600 --> 0:36:00.080
<v Speaker 3>is broken this winter, you'll be shocked to find out that,

0:36:00.160 --> 0:36:03.879
<v Speaker 3>in fact, it now costs twenty thousand dollars to get

0:36:03.880 --> 0:36:07.440
<v Speaker 3>a heat pump versus before the pandemic it was you know,

0:36:07.640 --> 0:36:12.280
<v Speaker 3>about ten thousand dollars. So many prices actually increased more

0:36:12.360 --> 0:36:15.680
<v Speaker 3>than thirty percent, forty percent. And I think it's just

0:36:15.760 --> 0:36:19.200
<v Speaker 3>harder for people to plan for the future. Whenever financial

0:36:19.239 --> 0:36:22.400
<v Speaker 3>shocks happen. And also if you look at the distribution

0:36:22.520 --> 0:36:26.880
<v Speaker 3>of the gains from financial asset appreciation during the past

0:36:26.920 --> 0:36:32.520
<v Speaker 3>three years, it is actually very concentrated in baby boomers.

0:36:32.560 --> 0:36:36.000
<v Speaker 3>And you know, seventy percent of stocks are owned by

0:36:36.840 --> 0:36:39.759
<v Speaker 3>people who are older than fifty nine years old. And

0:36:40.080 --> 0:36:44.600
<v Speaker 3>whereas the people the millennials and general Generation X, what

0:36:44.719 --> 0:36:47.440
<v Speaker 3>they had in the last three years is actually they

0:36:47.480 --> 0:36:52.280
<v Speaker 3>saw their debt load climbed. In fact, a consumer credit

0:36:52.440 --> 0:36:58.440
<v Speaker 3>for millennials rose over thirty percent over the last three years.

0:36:58.440 --> 0:36:59.680
<v Speaker 4>So you know, there's a.

0:36:59.640 --> 0:37:04.040
<v Speaker 3>District fuctional aspect to it. And I think if you

0:37:04.239 --> 0:37:07.640
<v Speaker 3>ask the baby boomers, yes, times are great. What you know,

0:37:08.000 --> 0:37:12.279
<v Speaker 3>for the younger generation they cannot. They have a hard

0:37:12.320 --> 0:37:14.960
<v Speaker 3>time buying a house. So I think one way that

0:37:15.000 --> 0:37:20.080
<v Speaker 3>we could get a sustained soft landing and would be

0:37:20.160 --> 0:37:23.320
<v Speaker 3>if the baby boomers could transfer their wealth to the

0:37:23.760 --> 0:37:26.759
<v Speaker 3>millennials to help the debt burden. That is sure if

0:37:26.760 --> 0:37:32.000
<v Speaker 3>all the old people die, no, just be altruistic.

0:37:32.960 --> 0:37:36.719
<v Speaker 1>Yeah, okay, yes, yes, please give us our inheritance.

0:37:36.760 --> 0:37:39.399
<v Speaker 2>Now twenty twenty four, what should we watch for what's

0:37:39.400 --> 0:37:39.960
<v Speaker 2>going to happen?

0:37:40.880 --> 0:37:46.560
<v Speaker 3>Yeah, I think there are are both definitely both positive

0:37:46.640 --> 0:37:51.239
<v Speaker 3>risk and negative risk. So, as I mentioned, I think

0:37:51.320 --> 0:37:53.520
<v Speaker 3>that there there might be a chance that a recession

0:37:53.520 --> 0:37:56.480
<v Speaker 3>in fact has already started late in twenty twenty three,

0:37:56.920 --> 0:38:01.560
<v Speaker 3>but I don't think any recessions are in because there's

0:38:01.640 --> 0:38:05.840
<v Speaker 3>this short period of time where if policy makers act

0:38:05.960 --> 0:38:08.960
<v Speaker 3>on it and you could turn it around. Right, And

0:38:09.680 --> 0:38:12.799
<v Speaker 3>when I wrote my twenty twenty four outlook, we are

0:38:12.880 --> 0:38:15.200
<v Speaker 3>our base case is that we think a downturn has

0:38:15.200 --> 0:38:19.680
<v Speaker 3>started in October, but the FED can still achieve its

0:38:19.680 --> 0:38:23.359
<v Speaker 3>soft lending if they cut faster and earlier. And in

0:38:23.360 --> 0:38:25.800
<v Speaker 3>my mind I was thinking if that should be cutting

0:38:25.840 --> 0:38:30.160
<v Speaker 3>in December and January, And amazingly we did see a

0:38:30.160 --> 0:38:35.400
<v Speaker 3>great pivot from Powell in the December FOMC meeting, and

0:38:35.520 --> 0:38:38.760
<v Speaker 3>that is actually the sort of stuff that could staunch

0:38:38.920 --> 0:38:43.480
<v Speaker 3>the downturn dynamics and turn it all around. And also,

0:38:43.560 --> 0:38:47.880
<v Speaker 3>of course it helps that you have positive exogenous supply

0:38:47.960 --> 0:38:51.360
<v Speaker 3>shocks like China slow down, as bad it is to

0:38:51.400 --> 0:38:54.920
<v Speaker 3>global growth, actually helps Powell's case in that it drives

0:38:54.920 --> 0:38:59.640
<v Speaker 3>down commodity prices. So but on the negative risk side,

0:38:59.680 --> 0:39:04.239
<v Speaker 3>I main concern about credit crunch. I mentioned that our

0:39:04.280 --> 0:39:08.120
<v Speaker 3>models would suggest that the credit sector has not adjusted

0:39:08.560 --> 0:39:11.960
<v Speaker 3>to FED rate hikes, and it takes time for the

0:39:12.040 --> 0:39:15.840
<v Speaker 3>rate hikes to hit that sector because first you need

0:39:16.080 --> 0:39:19.680
<v Speaker 3>the balance sheet cushion of consumers and corporates to be depleted,

0:39:20.239 --> 0:39:24.040
<v Speaker 3>and then second the downturn a slowed. You don't actually

0:39:24.080 --> 0:39:26.480
<v Speaker 3>need a negative growth, you just need slow down in

0:39:26.560 --> 0:39:31.239
<v Speaker 3>revenues for corporates to feel the heat. And then there

0:39:31.840 --> 0:39:35.080
<v Speaker 3>then you'll see more default and as you see more

0:39:35.120 --> 0:39:39.880
<v Speaker 3>defaults than you can see lenders pullback or the defaults

0:39:39.880 --> 0:39:43.200
<v Speaker 3>could also reveal that there is actually some underlying vulnerability,

0:39:43.239 --> 0:39:46.200
<v Speaker 3>either in the consumer a credit segment, or corporate.

0:39:46.360 --> 0:39:48.480
<v Speaker 1>All right, well, Anna Wog, thank you so much for

0:39:48.520 --> 0:39:50.399
<v Speaker 1>coming on all thoughts and walking us through your twenty

0:39:50.480 --> 0:39:53.400
<v Speaker 1>twenty three call and giving us a preview of twenty

0:39:53.440 --> 0:39:55.279
<v Speaker 1>twenty four as well. Really appreciate it.

0:39:55.360 --> 0:39:56.040
<v Speaker 3>Happy to be here.

0:39:56.120 --> 0:40:09.359
<v Speaker 4>Thanks Joe.

0:40:09.400 --> 0:40:11.680
<v Speaker 1>That was really interesting. There's so many things to pull

0:40:11.760 --> 0:40:15.720
<v Speaker 1>out of that conversation. I thought the credit market point

0:40:15.920 --> 0:40:18.520
<v Speaker 1>was an extremely interesting one. People have been talking about

0:40:18.680 --> 0:40:21.720
<v Speaker 1>the idea of the credit market maybe having a reckoning

0:40:21.960 --> 0:40:26.120
<v Speaker 1>for many years now, but the idea that maybe you know,

0:40:26.920 --> 0:40:29.480
<v Speaker 1>the lags between the interest rate hikes and the credit

0:40:29.520 --> 0:40:33.680
<v Speaker 1>market have somehow changed due to the big maturity takeout

0:40:33.680 --> 0:40:35.960
<v Speaker 1>that we saw, but also the idea that if revenues

0:40:36.000 --> 0:40:37.799
<v Speaker 1>start to come down, that's when you could see the

0:40:37.840 --> 0:40:41.880
<v Speaker 1>crunch point that we're interesting. The idea of the distribution

0:40:42.520 --> 0:40:45.719
<v Speaker 1>of sentiment. I think that's something that we're starting to

0:40:45.719 --> 0:40:48.839
<v Speaker 1>hear over and over again, not just in the political sense,

0:40:48.920 --> 0:40:53.120
<v Speaker 1>so obviously Republicans and Democrats are reporting very different things

0:40:53.200 --> 0:40:56.440
<v Speaker 1>at the moment, but also maybe differences in ages. If

0:40:56.440 --> 0:40:59.200
<v Speaker 1>you're a baby boomer with a huge stock portfolio and

0:40:59.280 --> 0:41:02.120
<v Speaker 1>a house, you're probably feeling pretty good right now. If

0:41:02.120 --> 0:41:05.560
<v Speaker 1>you're a millennial without that much in stock based savings

0:41:05.760 --> 0:41:09.480
<v Speaker 1>or any hard assets like houses, then you're probably not

0:41:09.520 --> 0:41:10.239
<v Speaker 1>feeling so good.

0:41:10.400 --> 0:41:10.600
<v Speaker 5>Yeah.

0:41:10.640 --> 0:41:13.360
<v Speaker 2>I thought there were so many interesting observations there, but

0:41:13.400 --> 0:41:15.839
<v Speaker 2>I can't talk, so Tracy just say more of the Yeah, you.

0:41:15.760 --> 0:41:17.520
<v Speaker 1>Could just say that's a good point.

0:41:17.640 --> 0:41:18.959
<v Speaker 2>Is a great point, Tracy.

0:41:18.719 --> 0:41:19.239
<v Speaker 4>Yeah, thank you.

0:41:19.280 --> 0:41:22.640
<v Speaker 1>I appreciate that. Also, the idea that if we do

0:41:22.760 --> 0:41:26.759
<v Speaker 1>get a recession soon, it could resemble something like two

0:41:26.760 --> 0:41:27.439
<v Speaker 1>thousand and one.

0:41:27.640 --> 0:41:28.520
<v Speaker 4>We wore to talk.

0:41:28.360 --> 0:41:30.160
<v Speaker 2>About that recession. We should do an episode on the

0:41:30.160 --> 0:41:31.280
<v Speaker 2>two thousand and one recession.

0:41:31.400 --> 0:41:34.440
<v Speaker 1>I would totally be up for it, the idea that

0:41:34.520 --> 0:41:36.719
<v Speaker 1>people it was one of those recessions where people didn't

0:41:36.719 --> 0:41:40.480
<v Speaker 1>realize it was happening that much until afterwards.

0:41:39.960 --> 0:41:42.560
<v Speaker 2>Nine eleven sort of like woke, you know, that was

0:41:42.600 --> 0:41:45.760
<v Speaker 2>the moment. But yes, I think that is a really

0:41:45.920 --> 0:41:47.640
<v Speaker 2>and at that point people like O were really you know,

0:41:47.719 --> 0:41:50.799
<v Speaker 2>clearly we're going to have this contraction. But I do

0:41:50.880 --> 0:41:54.319
<v Speaker 2>think that's a really interesting historical recession we don't talk

0:41:54.320 --> 0:41:56.799
<v Speaker 2>about much, and I do think there's like sort of

0:41:56.840 --> 0:41:59.920
<v Speaker 2>this interesting question about the lags between when the NBA

0:42:00.239 --> 0:42:03.320
<v Speaker 2>dates the start of a recession to win the consensus

0:42:03.320 --> 0:42:05.759
<v Speaker 2>sets in that over in recession, So it's sort of

0:42:05.760 --> 0:42:08.560
<v Speaker 2>an interesting thing to look back at, like how long

0:42:08.600 --> 0:42:10.560
<v Speaker 2>it typically takes historically.

0:42:11.000 --> 0:42:12.920
<v Speaker 1>Joe, I think we should leave it there because it

0:42:13.040 --> 0:42:16.600
<v Speaker 1>sounds painful just listening to you. I apologize, no, I

0:42:17.120 --> 0:42:19.560
<v Speaker 1>thank you for coming on the show and you know,

0:42:19.840 --> 0:42:21.560
<v Speaker 1>working it out, but let's leave it there.

0:42:21.640 --> 0:42:22.319
<v Speaker 2>Let's leave it there.

0:42:22.360 --> 0:42:22.640
<v Speaker 4>Okay.

0:42:23.160 --> 0:42:26.279
<v Speaker 1>This has been another episode of the Oddlots Podcast. I'm

0:42:26.320 --> 0:42:29.280
<v Speaker 1>Tracy Alloway. You can follow me at Tracy Alloway.

0:42:29.360 --> 0:42:31.800
<v Speaker 2>And I'm Joe Wisenthal. You can follow me on Twitter

0:42:31.880 --> 0:42:35.080
<v Speaker 2>at the Stalwart follow our guest Anna Along. She's at

0:42:35.120 --> 0:42:39.399
<v Speaker 2>Anna Economist. Follow our producers Carmen Rodriguez at Carmen Arman,

0:42:39.840 --> 0:42:42.880
<v Speaker 2>dash Ol Bennett at dashbod and kill Brooks at Kilbrooks.

0:42:43.080 --> 0:42:46.000
<v Speaker 2>Thank you're to our producer Moses onm For more Odd

0:42:46.040 --> 0:42:48.960
<v Speaker 2>Lots content, check out Bloomberg dot com slash odd Lots

0:42:49.080 --> 0:42:50.120
<v Speaker 2>and go to our discord

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<v Speaker 1>And if you enjoy Odd Lots, if you want us

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<v Speaker 1>to do an episode on the two thousand and one recession,

0:42:55.640 --> 0:42:58.640
<v Speaker 1>then please leave us a positive review on your favorite

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<v Speaker 1>podcast platform for listening,