WEBVTT - Omair Sharif Explains How Inflation Measures Really Work

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<v Speaker 1>Hello, and welcome to another episode of the Odd Lots Podcast.

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<v Speaker 1>I'm Joe Wisenthal and I'm Tracy Halloway. Tracy, do you

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<v Speaker 1>remember I think it was probably like last June or

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<v Speaker 1>last July, like over a year ago. Now, I think

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<v Speaker 1>we're talking to Vitour Constantio, and I think you asked

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<v Speaker 1>like one of the most important questions, like at the

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<v Speaker 1>time and maybe still like that we've had on this podcast.

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<v Speaker 1>I struggle to remember things that happened a month ago,

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<v Speaker 1>um let alone twelve months ago. Everything is sort of

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<v Speaker 1>blurring into this one long stretch. But um, yeah, that's fair.

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<v Speaker 1>What did I ask, Well, you asked him whether economists

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<v Speaker 1>or anyone these days had a cogent theory of inflation.

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<v Speaker 1>Do you remember that? And at the time, like you know,

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<v Speaker 1>there wasn't much inflation going on. I think we're probably

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<v Speaker 1>still in something resembling deflation or disinflation not long after

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<v Speaker 1>the initial shock. But now, you know, fast forward to

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<v Speaker 1>August and official inflation measurements are pretty elevated relative to

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<v Speaker 1>recent history. And I think that question and I think

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<v Speaker 1>it's basic into us. No, although I don't want to

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<v Speaker 1>quote him on that, that question of like whether economists

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<v Speaker 1>understand inflation has probably never been is extremely top of

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<v Speaker 1>mind these days totally, And I mean, I think I

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<v Speaker 1>would agree with you on the no part. But of

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<v Speaker 1>course there's a really big irony right now, which is

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<v Speaker 1>right when the FED changed to the flexible average inflation

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<v Speaker 1>targeting regime, after you know, more than a decade of

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<v Speaker 1>undershooting the two percent inflation target. As soon as they

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<v Speaker 1>did that, now we seem to have possibly um transitory inflation,

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<v Speaker 1>but like certainly more than they would have expected a

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<v Speaker 1>year ago. And and yeah, like it just illustrates that

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<v Speaker 1>no one seems to have a very good handle on

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<v Speaker 1>what exactly causes price increases or decreases. Right, So, even

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<v Speaker 1>prior to the new framework, there's always been this idea that, okay,

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<v Speaker 1>we'll use and this came up in our recent episode

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<v Speaker 1>of Neil Cary of the Minneapolis Fed, that okay, we'll

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<v Speaker 1>use inflation as our gauge, as our speed limit to

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<v Speaker 1>know when we say hit maximum employment or full employment.

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<v Speaker 1>That's true under the old FED, that's true under the

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<v Speaker 1>current Fed. Now we have elevated inflation, but it's like, oh,

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<v Speaker 1>this doesn't really count because it's transitory and it's related

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<v Speaker 1>to shipping, and we know that doesn't have anything to

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<v Speaker 1>do with employment, but there's always probably gonna be a

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<v Speaker 1>story to tell which sort of calls to mind whether

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<v Speaker 1>these are sort of like useful things. Of course, no

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<v Speaker 1>one predicted this sort of like very few people accurately

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<v Speaker 1>predicted the timing and the degree of elevation of the

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<v Speaker 1>current inflation. So I think we're still sort of like

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<v Speaker 1>back to square one. We don't know how long this

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<v Speaker 1>will last. I don't even think there's a agreement of

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<v Speaker 1>like what really would be transitory, of what would be worrisome,

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<v Speaker 1>of what would spur the FED to act sooner than

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<v Speaker 1>maybe markets effect, And so I think, um, that question

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<v Speaker 1>that you asked Constancio several months ago remains really the

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<v Speaker 1>sort of the key thing right now. Yeah, alright, So

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<v Speaker 1>today we're going to be talking about inflation and really

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<v Speaker 1>what it is and how it's measured, and whether it's

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<v Speaker 1>even possible to forecast it accurately or how we should

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<v Speaker 1>be thinking about it right now, And we have literally

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<v Speaker 1>the perfect guest. We're gonna be speaking with Omar Sharif.

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<v Speaker 1>He's currently uh the founder and president of a new

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<v Speaker 1>shop that he's set up called appropriately enough for this

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<v Speaker 1>episode Inflation Insights, but he has a long track record.

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<v Speaker 1>He's prior to that a by side strategist at the

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<v Speaker 1>asset management for Millennium. He's been an economist at various

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<v Speaker 1>shops including a Soak, Gen, RBS, and so forth. So

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<v Speaker 1>we're going to talk about whether there is a a

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<v Speaker 1>cogent theory of ation and how to think about it

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<v Speaker 1>right now. So Amara, thank you so much for joining us.

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<v Speaker 1>Thank you having me. Well, what's your answer to Tracy's question?

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<v Speaker 1>Do do economists have a useful or cogent theory of

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<v Speaker 1>inflation that that works in practice? I think the short

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<v Speaker 1>answer to that is, now, you know, all you have

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<v Speaker 1>to do is sort of look at the fact that

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<v Speaker 1>there's a massive academic literature that's basically just devoted to

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<v Speaker 1>forecasting inflation and you know, coming up with variou types

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<v Speaker 1>of models to figure out what the inflation process is.

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<v Speaker 1>And there's an equally large literature talking about why we're

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<v Speaker 1>so bad and forecasting inflation. So I don't know that

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<v Speaker 1>there's a coaching theory. It seems to sort of change

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<v Speaker 1>based on where we are kind of in the cycle,

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<v Speaker 1>and there's different ways of approaching you know, how you

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<v Speaker 1>want to forecast inflation. They're sort of the top down

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<v Speaker 1>modeling approach that a lot of academics use. And I

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<v Speaker 1>think sort of what's more kind of in favor and

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<v Speaker 1>out something that I started doing, you know, well over

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<v Speaker 1>ten years ago, which was kind of more of the

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<v Speaker 1>bottom up approach UM to forecasting inflation. But ultimately, I

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<v Speaker 1>don't know that there's a coaching theory that really can

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<v Speaker 1>explain the inflation process over you know, let's say the

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<v Speaker 1>last several decades. UM. You sort of try to understand

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<v Speaker 1>it based on where you are, I think in the cycle.

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<v Speaker 1>So what is it that makes inflation UM so difficult

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<v Speaker 1>to grasp? Is it the idea of UM that you

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<v Speaker 1>just pointed out that it basically depends on where you

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<v Speaker 1>are in the cycle, and so your framework or the

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<v Speaker 1>dynamics that are underpinning prices are are kind of changing constantly. Yeah,

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<v Speaker 1>I think that's that's exactly what it is. It's just

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<v Speaker 1>it's a constantly evolving process UM. And you know, one

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<v Speaker 1>way to think about it is that if we're trying

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<v Speaker 1>to forecast it, and let's say we just want to

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<v Speaker 1>think about where it's going to go over the course

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<v Speaker 1>of the next year. You know, there are all sorts

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<v Speaker 1>of approaches you can take in terms of modeling, but

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<v Speaker 1>some of the simplest approaches actually worked the which is

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<v Speaker 1>simply to say that, you know, if I want to

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<v Speaker 1>forecast inflation over the course of the next four quarters,

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<v Speaker 1>I might just use the average of the last four quarters,

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<v Speaker 1>and most often than not, that will actually perform better

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<v Speaker 1>than trying to come up with some models that you know,

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<v Speaker 1>Phillips curve type models for example, because inflation persistence is

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<v Speaker 1>actually a pretty big key I think in trying to

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<v Speaker 1>understand the dynamics with an inflation um and that persistence

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<v Speaker 1>is is it varies across time and and that is

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<v Speaker 1>one of the keys really and trying to think about

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<v Speaker 1>it is you know, if I if I were to

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<v Speaker 1>tell you that the core CPI has been between one

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<v Speaker 1>and a half to two and a half percent for

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<v Speaker 1>the last twenty years, those types of models that are

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<v Speaker 1>what we call nightive models work quite well because if

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<v Speaker 1>inflation has been around that for the last twenty years,

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<v Speaker 1>pretty good odds that you know for the next year

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<v Speaker 1>will be somewhere in that range. Uh. But that persistence

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<v Speaker 1>varies in the short run. It varies, you know, even

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<v Speaker 1>within a decade, and so trying to capture that kind

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<v Speaker 1>of time varying nature of inflation for sistance is really

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<v Speaker 1>what everyone's striving to do. And that's why certain models perform,

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<v Speaker 1>you know, really well in certain decades and they completely

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<v Speaker 1>collapse in the next decade. Well, so this gets to

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<v Speaker 1>something that we um talked about in the beginning that

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<v Speaker 1>whether we're talking about the FEDS new framework, and we

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<v Speaker 1>should point out recording this auguste by the time people

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<v Speaker 1>listen to this, it will have been the one year

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<v Speaker 1>anniversary of Jackson Hole where they laid out and so

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<v Speaker 1>we make it some new speeches on this, but where

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<v Speaker 1>they laid out the new framework last year. So whether

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<v Speaker 1>it's the new framework, the Flexible Average Inflation Targeting Framework,

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<v Speaker 1>or the old framework, I'm not even sure what that was,

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<v Speaker 1>both are premised on this sort of like Phillips curve,

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<v Speaker 1>thinking that there is some inherent trade off, that there

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<v Speaker 1>is some inherent speed limit or maximum employment, and we'll

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<v Speaker 1>know we'll get there not by some number of employment level,

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<v Speaker 1>but by inflation readings. And if the nature of inflation

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<v Speaker 1>sort of changes all the time, maybe decade by decade

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<v Speaker 1>or some other time interval. Is that going to be

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<v Speaker 1>a folly for the FED to think that inflation or like,

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<v Speaker 1>is there any reason to think that Philip's curve thinking

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<v Speaker 1>or Philips curve framework will be a useful guide post

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<v Speaker 1>for the FED? It's hard to say. I think that

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<v Speaker 1>the thing is that the Feds, you know, their time

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<v Speaker 1>horizons really if you think about it is essentially about

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<v Speaker 1>three years, right. We we get about three years of

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<v Speaker 1>forecast from the FRET FED within the SCP, and so

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<v Speaker 1>you know, if you're thinking about inflation changing over ten

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<v Speaker 1>years or fifteen years, that's less of an issue for

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<v Speaker 1>the FED. So that can the Phillips curve work accurately

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<v Speaker 1>for them? And then a three to five year horizon sure,

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<v Speaker 1>And and so you know there are times that it

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<v Speaker 1>has actually performed relatively well. So for example, kind of

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<v Speaker 1>the late seventies when you ran aggressions sort of these

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<v Speaker 1>you know, using output on employment gaps, Phillips curves actually

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<v Speaker 1>turned out to to be kind of useful. But you know,

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<v Speaker 1>the FED will always tell you that they have a

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<v Speaker 1>suite of models that they look at. They will look

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<v Speaker 1>at everything from core inflation to you know, trim means

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<v Speaker 1>and medium c P I S. So I don't know

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<v Speaker 1>that they're as reliant on the Phillips curve as they

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<v Speaker 1>used to be, and I think they've kind of spelled

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<v Speaker 1>that out for us over the course of you know,

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<v Speaker 1>the last year. It's not clear that the Philip's curve

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<v Speaker 1>really works, and I think Powell's kind of ditched that approach,

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<v Speaker 1>and it's you know, it's kind of back to the

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<v Speaker 1>old adage of saying, you know, we'll we'll know it

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<v Speaker 1>when we see it, and we'll kind of wait for

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<v Speaker 1>the whites of the eyes of inflation before we decide

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<v Speaker 1>to move on on policy. MHM. So you mentioned all

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<v Speaker 1>the different inflation stats or figures that the FED can

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<v Speaker 1>look at, and of course there are, I mean, there's

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<v Speaker 1>probably dozens of different measures of inflation um that are

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<v Speaker 1>based on hundreds, if not thousands, of different baskets. I

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<v Speaker 1>guess my question is how much does your interpretation or

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<v Speaker 1>does one's interpretation or thinking around inflation actually depend on

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<v Speaker 1>the measure that they're looking at, And how do people

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<v Speaker 1>go about choosing which measure is most relevant m in

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<v Speaker 1>a particular time. Well, I think, you know, we there's

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<v Speaker 1>basically two main measures. Is the way that I really

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<v Speaker 1>look at it. You know, there's obviously the c p

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<v Speaker 1>I and then there's the there's the Feens preferred measure

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<v Speaker 1>that the core PC. Are there other measures that you

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<v Speaker 1>can look at, absolutely, but typically they tend to be

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<v Speaker 1>kind of variations on those two. So you know, the

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<v Speaker 1>trim mean and and the median c p I and

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<v Speaker 1>the median PC are just variations and different ways to

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<v Speaker 1>kind of approach those same baskets. And you know, maybe

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<v Speaker 1>you're taking some of the volatility out from the top

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<v Speaker 1>and the bottom, but you're really sticking with those two

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<v Speaker 1>main baskets, which one you want to really focus on?

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<v Speaker 1>You know, I think it depends. Um, if you're the Fed,

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<v Speaker 1>they've already made that decision for us. You know, it

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<v Speaker 1>kind of makes it easy. Um, we're gonna be focusing

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<v Speaker 1>on the core PC if you're thinking about monetary policy.

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<v Speaker 1>But obviously for the markets, what matters is the c

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<v Speaker 1>p I and what matters is the CPI because that's

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<v Speaker 1>what it goes into pricing tips. So it sort of

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<v Speaker 1>depends on who you are. You know, if you're the A,

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<v Speaker 1>obviously you're going to be concerned and obviously the two

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<v Speaker 1>are related about you know, roughly something like seventies seventy

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<v Speaker 1>of the core PC is actually just passed through from

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<v Speaker 1>the course cp I. So those to me are really

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<v Speaker 1>the at least in the US, are the two main

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<v Speaker 1>metrics that you want to focus on. Well, let me

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<v Speaker 1>ask you. You know, if economists, you know, don't have

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<v Speaker 1>a great track record of forecasting inflation, they don't have

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<v Speaker 1>great models um for it. So we have these things

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<v Speaker 1>that Okay, if I talked to Tracy, I say, let's

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<v Speaker 1>talk about inflation, and we want to know where inflation is.

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<v Speaker 1>We'll look up some indicries on the terminal, might look

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<v Speaker 1>up to c p I, course, CPI, core PC, etcetera.

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<v Speaker 1>Are the concepts of inflation indices themselves cogent? In other words,

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<v Speaker 1>we're put we're aggregating all these different prices and trying

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<v Speaker 1>to arrive at one number. And right now I think

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<v Speaker 1>the number, you know, cp I, it's a little bit

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<v Speaker 1>over five percent, maybe five point four percent, I don't

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<v Speaker 1>remember exactly. That's down from a recent high. But is

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<v Speaker 1>there some true information contained in that headline number or

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<v Speaker 1>is it just a number that gets spit out when

0:12:07.679 --> 0:12:09.960
<v Speaker 1>you go through the work of adding up all of

0:12:10.000 --> 0:12:13.480
<v Speaker 1>the thousands of prices that go into it. Yeah. Look,

0:12:13.480 --> 0:12:15.560
<v Speaker 1>I mean at the end of the day, Um, all

0:12:15.559 --> 0:12:18.760
<v Speaker 1>of this stuff is is a construct, right, and and

0:12:18.840 --> 0:12:21.480
<v Speaker 1>there's certain things in there which I think do a

0:12:21.559 --> 0:12:25.920
<v Speaker 1>great job of reflecting reality. And if we think about energy,

0:12:26.080 --> 0:12:28.320
<v Speaker 1>that's a very simple one. You know, everybody knows what

0:12:28.360 --> 0:12:32.160
<v Speaker 1>they're paying at the pumper for gasoline, and within the

0:12:32.200 --> 0:12:35.280
<v Speaker 1>c p I, you know you're you're capturing these movements

0:12:35.320 --> 0:12:38.200
<v Speaker 1>and energy prices, those are pretty straightforward. The same thing

0:12:38.320 --> 0:12:40.760
<v Speaker 1>is true when you think about you know, car prices.

0:12:41.320 --> 0:12:43.559
<v Speaker 1>These are items that are pretty easy, easy to capture,

0:12:44.000 --> 0:12:46.080
<v Speaker 1>and you know they do a pretty good job sort

0:12:46.080 --> 0:12:49.760
<v Speaker 1>of representing reality. Where you start to get we start

0:12:49.800 --> 0:12:52.079
<v Speaker 1>to lose people, frankly, is when you kind of get

0:12:52.120 --> 0:12:56.200
<v Speaker 1>into some of the sort of the price index theory

0:12:56.320 --> 0:12:59.360
<v Speaker 1>and sort of the number theory where you start to

0:12:59.400 --> 0:13:02.400
<v Speaker 1>talk about imputations and you know how to handle missing

0:13:02.440 --> 0:13:05.600
<v Speaker 1>prices and you know, owner's equivalent RAN is a great example.

0:13:06.360 --> 0:13:08.480
<v Speaker 1>There's been a debate about this for you know, pretty

0:13:08.559 --> 0:13:10.679
<v Speaker 1>much the last forty fifty years about how should we

0:13:10.679 --> 0:13:14.720
<v Speaker 1>really capture house prices? What is the role in an index?

0:13:15.200 --> 0:13:17.160
<v Speaker 1>And the CPI is very clear, we don't want to

0:13:17.240 --> 0:13:19.520
<v Speaker 1>We don't want anything to do with house prices. Why,

0:13:19.600 --> 0:13:22.440
<v Speaker 1>because we consider it to be an asset. We're trying

0:13:22.480 --> 0:13:25.000
<v Speaker 1>to measure what you pay out of pocket as a consumer,

0:13:26.080 --> 0:13:28.800
<v Speaker 1>And so these are the kinds of debates that I think,

0:13:28.840 --> 0:13:31.480
<v Speaker 1>you know, when you're paying, when you're seeing you know,

0:13:31.760 --> 0:13:35.760
<v Speaker 1>home prices go up, you care less about what satistations

0:13:35.760 --> 0:13:38.239
<v Speaker 1>are arguing about when it comes to you know, imputation

0:13:38.280 --> 0:13:39.920
<v Speaker 1>and so on. You just know that if you want

0:13:39.920 --> 0:13:42.240
<v Speaker 1>to buy a house, you've got to pay more than

0:13:42.280 --> 0:13:44.520
<v Speaker 1>maybe you did last year. And so you tend to

0:13:44.559 --> 0:13:47.120
<v Speaker 1>kind of lose the public when you're getting into those

0:13:47.120 --> 0:13:49.480
<v Speaker 1>sorts of weeds in the inflation data. But I think

0:13:49.480 --> 0:13:52.319
<v Speaker 1>for the most part, these indexes do a pretty good

0:13:52.400 --> 0:13:55.000
<v Speaker 1>job of capturing what's going on in terms of the

0:13:55.000 --> 0:14:14.360
<v Speaker 1>pricing environment around US. UM. Can we spend a little

0:14:14.360 --> 0:14:18.240
<v Speaker 1>bit of time on owners equivalent rent or o E ER,

0:14:18.360 --> 0:14:20.920
<v Speaker 1>because as you mentioned, this is a source of big controversy.

0:14:21.360 --> 0:14:24.520
<v Speaker 1>Anyone looking at the housing market, you know, over the

0:14:24.560 --> 0:14:27.760
<v Speaker 1>past few decades will say that house prices have gone up,

0:14:28.160 --> 0:14:32.600
<v Speaker 1>rents have gone up, um, certainly relative to one's income.

0:14:33.280 --> 0:14:37.400
<v Speaker 1>So why is it that it seems difficult for the

0:14:37.440 --> 0:14:41.160
<v Speaker 1>inflation indices to capture that, is it just is it

0:14:41.240 --> 0:14:45.600
<v Speaker 1>just that they've made a conscious decision not to include

0:14:45.600 --> 0:14:47.840
<v Speaker 1>it or to include it in this very specific way,

0:14:47.960 --> 0:14:51.560
<v Speaker 1>or is it something else? So we actually used to

0:14:51.560 --> 0:14:55.520
<v Speaker 1>include it, um so so prior to the CPI, for example,

0:14:56.080 --> 0:14:58.320
<v Speaker 1>um they took what was called the asset approach, and

0:14:58.360 --> 0:15:01.280
<v Speaker 1>so that included, uh, you know, the price of a house,

0:15:01.600 --> 0:15:06.400
<v Speaker 1>included everything related to your mortgage, interest costs, your property taxes,

0:15:06.440 --> 0:15:09.080
<v Speaker 1>and so on. And even though from about the late

0:15:09.080 --> 0:15:13.040
<v Speaker 1>fifties to about three they they did it in this manner,

0:15:13.560 --> 0:15:15.880
<v Speaker 1>they knew from really the early sixties that this was

0:15:15.960 --> 0:15:18.560
<v Speaker 1>not the right approach and this was just a conceptual

0:15:18.680 --> 0:15:20.840
<v Speaker 1>issue with the cp I. All this had to do

0:15:20.960 --> 0:15:24.240
<v Speaker 1>was was to say, what we're really doing here is

0:15:24.520 --> 0:15:27.880
<v Speaker 1>we're capturing an investment piece of the house, and we're

0:15:27.880 --> 0:15:30.680
<v Speaker 1>also we really want to capture is just the consumption

0:15:30.720 --> 0:15:32.840
<v Speaker 1>aspect of it. And so they knew for you know,

0:15:32.960 --> 0:15:36.480
<v Speaker 1>twenty plus years um that even though they were doing

0:15:36.520 --> 0:15:38.480
<v Speaker 1>in this manner, this was not what they wanted to

0:15:38.520 --> 0:15:42.120
<v Speaker 1>actually be doing in terms of the CPI. And finally

0:15:42.160 --> 0:15:45.120
<v Speaker 1>around the late seventies they started doing more detailed work

0:15:45.120 --> 0:15:47.800
<v Speaker 1>on how to get around, you know, eliminating the investment

0:15:47.840 --> 0:15:51.040
<v Speaker 1>piece of it and focusing just on sort of the

0:15:51.080 --> 0:15:53.680
<v Speaker 1>shelter part of it UM. And they made that change

0:15:53.680 --> 0:15:57.560
<v Speaker 1>in three and you know, another part of the reason

0:15:57.600 --> 0:15:59.560
<v Speaker 1>for making that change was, you know, as you recall,

0:15:59.640 --> 0:16:01.720
<v Speaker 1>interest rates were kind of all over the map in

0:16:01.800 --> 0:16:05.920
<v Speaker 1>the late seventies and the early eighties, and that introduced

0:16:05.920 --> 0:16:08.760
<v Speaker 1>a tremendous amount of volatility in the CPI to the

0:16:08.800 --> 0:16:12.200
<v Speaker 1>point where it sort of became, I don't want to

0:16:12.200 --> 0:16:15.120
<v Speaker 1>say useless, but so volatile that it was really hard

0:16:15.160 --> 0:16:16.760
<v Speaker 1>to get any kind of sense of what was going

0:16:16.800 --> 0:16:20.720
<v Speaker 1>on with underlying inflation. And you had everything tied to it,

0:16:20.760 --> 0:16:24.800
<v Speaker 1>you know, cost of living adjustments UM, wage negotiations were

0:16:24.800 --> 0:16:26.400
<v Speaker 1>tied to it. And one year it was up you know,

0:16:26.440 --> 0:16:28.800
<v Speaker 1>ten eleven, the next year might be back down to three.

0:16:29.560 --> 0:16:31.960
<v Speaker 1>So it was sort of losing its significance, and so

0:16:32.120 --> 0:16:35.360
<v Speaker 1>this decision was made to work on trying to implement

0:16:35.720 --> 0:16:40.120
<v Speaker 1>this owner's equivalent rent index, which finally came into playe UM.

0:16:40.240 --> 0:16:44.040
<v Speaker 1>So that is a consensual issue. It's it's just underlies

0:16:44.080 --> 0:16:46.240
<v Speaker 1>sort of what the CPI is really meant to do.

0:16:47.280 --> 0:16:50.360
<v Speaker 1>The second part of this, I think, is that you know,

0:16:50.400 --> 0:16:53.280
<v Speaker 1>when you look at for example, Zello core logic and

0:16:53.280 --> 0:16:57.160
<v Speaker 1>you're seeing rents up, where you're seeing case Shiller saying

0:16:57.200 --> 0:17:01.000
<v Speaker 1>house prices are one of the you don't see it

0:17:01.040 --> 0:17:04.560
<v Speaker 1>in the CPI indexes. To that magnitude is because it

0:17:04.680 --> 0:17:07.920
<v Speaker 1>is there's just very little turnover in the CPI sample.

0:17:08.800 --> 0:17:12.720
<v Speaker 1>So every month, only about ten to fift pent the

0:17:12.760 --> 0:17:17.640
<v Speaker 1>sample actually represents new renters, and so what you see

0:17:17.640 --> 0:17:20.560
<v Speaker 1>in list prices um you know that might be moving

0:17:20.640 --> 0:17:23.920
<v Speaker 1>very quickly when market conditions are changing, that shows up

0:17:23.960 --> 0:17:26.960
<v Speaker 1>over the course of about twelve to eighteen months in

0:17:26.960 --> 0:17:30.360
<v Speaker 1>the CPI because you just don't have that same kind

0:17:30.359 --> 0:17:33.360
<v Speaker 1>of turnover that you see in these indexes that look

0:17:33.359 --> 0:17:35.879
<v Speaker 1>at just for example, listed rents. So part of its

0:17:35.920 --> 0:17:39.040
<v Speaker 1>conceptual issue, but the other part is just the methodology

0:17:39.080 --> 0:17:41.840
<v Speaker 1>and the way that the sample works. You're just never

0:17:41.880 --> 0:17:44.320
<v Speaker 1>going to have the magnitude of the changes that you

0:17:44.359 --> 0:17:47.240
<v Speaker 1>see in all these sort of you know, private private

0:17:47.320 --> 0:17:50.040
<v Speaker 1>sector indexes. So like if we're talking about something like

0:17:50.080 --> 0:17:54.879
<v Speaker 1>buying apples or buying milk or buying gasoline, everybody buys

0:17:54.960 --> 0:17:57.520
<v Speaker 1>those things every day or every week all the time

0:17:58.000 --> 0:18:02.760
<v Speaker 1>with rant, not only do very few people actually signed

0:18:02.760 --> 0:18:06.280
<v Speaker 1>a new lease every every month, but also many of

0:18:06.320 --> 0:18:08.680
<v Speaker 1>the new leases that people actually sign or with their

0:18:08.680 --> 0:18:12.240
<v Speaker 1>current landlord, and so they probably uh don't get the

0:18:12.240 --> 0:18:15.280
<v Speaker 1>full market rent because those are those don't adjust as fast.

0:18:15.760 --> 0:18:18.520
<v Speaker 1>And so you know, looking at this, Okay, this is

0:18:18.560 --> 0:18:20.119
<v Speaker 1>one of the big questions right now. We know that

0:18:20.200 --> 0:18:23.080
<v Speaker 1>headline inflation has come down a little bit. Used cars

0:18:23.080 --> 0:18:25.240
<v Speaker 1>seem to have stopped going up. That's a big factor.

0:18:25.520 --> 0:18:28.240
<v Speaker 1>But everyone's like, okay, ore is coming, ohr is coming.

0:18:28.520 --> 0:18:31.159
<v Speaker 1>We see the market rent some places like Zillo and

0:18:31.200 --> 0:18:33.920
<v Speaker 1>so forth, those are shooting up. Why don't you give

0:18:34.000 --> 0:18:36.439
<v Speaker 1>us what you know? Sort of you just explained the theory.

0:18:36.720 --> 0:18:38.720
<v Speaker 1>What are you actually seeing in practice when you look

0:18:38.720 --> 0:18:42.000
<v Speaker 1>at the data and how much is rent and other

0:18:42.359 --> 0:18:44.960
<v Speaker 1>attempts that the CPI or that these in disease used

0:18:45.000 --> 0:18:48.160
<v Speaker 1>to capture shelter. How much upward pressure are they going

0:18:48.200 --> 0:18:51.800
<v Speaker 1>to put on the measures in the months and years ahead. Yeah,

0:18:51.800 --> 0:18:54.439
<v Speaker 1>so we you know, we have seen both of these measures,

0:18:54.480 --> 0:18:56.280
<v Speaker 1>both rent and now we are actually bottom out over

0:18:56.280 --> 0:18:58.760
<v Speaker 1>the course of the last several months, and you're starting

0:18:58.760 --> 0:19:02.680
<v Speaker 1>to see price increases. Is in the major metro areas,

0:19:02.880 --> 0:19:06.640
<v Speaker 1>and so even you know, places like New York, Los Angeles, Chicago,

0:19:06.680 --> 0:19:09.600
<v Speaker 1>San Francisco, which are still down pretty sharply year over year,

0:19:09.920 --> 0:19:12.199
<v Speaker 1>it looks like on a monthly basis they've they've finally

0:19:12.240 --> 0:19:14.919
<v Speaker 1>kind of begun to stabilize a little bit. And you know,

0:19:14.960 --> 0:19:16.840
<v Speaker 1>it's important to kind of understand when you talk about

0:19:16.840 --> 0:19:19.919
<v Speaker 1>the c p I that a lot of these rent indicries,

0:19:20.160 --> 0:19:22.639
<v Speaker 1>what really matters is where these you know, so called

0:19:22.800 --> 0:19:25.320
<v Speaker 1>Class A cities, which are you know, the big ones

0:19:25.320 --> 0:19:27.960
<v Speaker 1>with populations over two and a half million, what they're

0:19:28.000 --> 0:19:32.280
<v Speaker 1>doing because the weights on these cities um is incredibly large.

0:19:32.560 --> 0:19:34.320
<v Speaker 1>So if you looked at just three of them, New York,

0:19:35.000 --> 0:19:40.240
<v Speaker 1>Los Angeles, Chicago, that is of the entire rent inducts

0:19:40.240 --> 0:19:43.679
<v Speaker 1>from just those three metro areas. So where they go

0:19:43.880 --> 0:19:46.280
<v Speaker 1>matters quite a lot for the overall index. But we

0:19:46.320 --> 0:19:49.199
<v Speaker 1>are starting to see these places stabilize and move up.

0:19:49.240 --> 0:19:51.120
<v Speaker 1>But I think there's something to keep in mind here

0:19:51.160 --> 0:19:53.879
<v Speaker 1>about you know, this whole story about shelters commenting and

0:19:53.880 --> 0:19:55.360
<v Speaker 1>O we are is going to go up and so on.

0:19:56.080 --> 0:19:59.520
<v Speaker 1>Number One, people again are looking at these private market

0:19:59.560 --> 0:20:02.760
<v Speaker 1>rent data and they're seeing seven percent eight percent growth.

0:20:03.400 --> 0:20:05.480
<v Speaker 1>We've never seen anything like that in the c p I.

0:20:05.480 --> 0:20:08.119
<v Speaker 1>I'm hard pressed to think, you know, we'll see anything

0:20:08.160 --> 0:20:09.919
<v Speaker 1>like that over Let's say that the course of the

0:20:09.960 --> 0:20:13.679
<v Speaker 1>next year, um will rent go up, yes, but you know,

0:20:13.760 --> 0:20:16.480
<v Speaker 1>don't forget before the pandemic we were running around three

0:20:16.480 --> 0:20:19.320
<v Speaker 1>and a half percent. We're about two and a half

0:20:19.320 --> 0:20:22.320
<v Speaker 1>percent right now, and rent and we are combined. So

0:20:22.480 --> 0:20:24.320
<v Speaker 1>you know, even if you move up a full percentage

0:20:24.320 --> 0:20:26.000
<v Speaker 1>point over the course of the next year, you'll be

0:20:26.080 --> 0:20:28.760
<v Speaker 1>kind of right back where you started in early two

0:20:28.760 --> 0:20:31.400
<v Speaker 1>thousand and twenty. But let's assume for a moment that

0:20:31.640 --> 0:20:33.520
<v Speaker 1>you know, we move up to four and a half percent,

0:20:34.320 --> 0:20:36.879
<v Speaker 1>so another two percentage points from where we are today.

0:20:37.280 --> 0:20:40.040
<v Speaker 1>What that basically means is you're looking at overall core

0:20:40.080 --> 0:20:44.480
<v Speaker 1>inflation rising by roughly about another eighty basis points. You know,

0:20:44.480 --> 0:20:47.760
<v Speaker 1>rents got about a weight, you go up two percentage points.

0:20:47.920 --> 0:20:50.240
<v Speaker 1>That's about eighty bits on on the core cp I.

0:20:50.280 --> 0:20:52.840
<v Speaker 1>Now that sounds like a lot, but you mentioned used

0:20:52.840 --> 0:20:56.119
<v Speaker 1>cars earlier. They're adding over a hundred and thirty basis

0:20:56.160 --> 0:20:58.520
<v Speaker 1>points to the core CPI right now in the year.

0:20:58.600 --> 0:21:01.720
<v Speaker 1>Your basis that it's almost certainly going to come off.

0:21:02.119 --> 0:21:05.120
<v Speaker 1>So even if we are goes up and rent goes up,

0:21:05.200 --> 0:21:06.920
<v Speaker 1>you know, a couple of percentage points over the course

0:21:06.920 --> 0:21:09.800
<v Speaker 1>of let's say, the next year eighteen months, that's almost

0:21:09.880 --> 0:21:12.120
<v Speaker 1>certainly going to be offset to a great extent by

0:21:12.440 --> 0:21:14.200
<v Speaker 1>you know, a lot of these things that we're seeing

0:21:14.240 --> 0:21:17.600
<v Speaker 1>now that we you know, continue to think of transitory.

0:21:17.920 --> 0:21:19.639
<v Speaker 1>That's going to upset a lot of the upward pressure

0:21:19.640 --> 0:21:21.600
<v Speaker 1>you're gonna get from from shelter, I think, over the

0:21:21.600 --> 0:21:23.560
<v Speaker 1>course of the next eighteen months. So it's kind of

0:21:23.600 --> 0:21:27.359
<v Speaker 1>important to keep that in perspective because again, four and

0:21:27.400 --> 0:21:30.080
<v Speaker 1>a half percent is really where we've peaked in the past,

0:21:30.080 --> 0:21:31.520
<v Speaker 1>and even if we get a bit higher than that,

0:21:32.040 --> 0:21:35.240
<v Speaker 1>you know, year a year on use cars is not

0:21:35.280 --> 0:21:37.399
<v Speaker 1>going to stick. You know, that's going to potentially more

0:21:37.440 --> 0:21:41.320
<v Speaker 1>than offset what we see out of shelter. So since

0:21:41.359 --> 0:21:45.359
<v Speaker 1>we're talking about the current environment in terms of inflation,

0:21:45.880 --> 0:21:48.680
<v Speaker 1>maybe it's worth asking, you know, when you hear the

0:21:48.800 --> 0:21:53.600
<v Speaker 1>term transitory inflation, what does it actually mean to you?

0:21:53.760 --> 0:21:57.960
<v Speaker 1>Because we've had um at least one feed official come

0:21:58.000 --> 0:22:00.680
<v Speaker 1>on and talk about how they sort of regret using

0:22:00.720 --> 0:22:03.800
<v Speaker 1>the term transitory inflation, and other people have said you know,

0:22:03.840 --> 0:22:05.480
<v Speaker 1>maybe it would have been better if the FED was

0:22:05.520 --> 0:22:10.960
<v Speaker 1>talking about narrow inflation versus more broader inflation, or um

0:22:11.040 --> 0:22:16.480
<v Speaker 1>manageable inflation versus unmanageable inflation. So what does that term

0:22:16.520 --> 0:22:20.600
<v Speaker 1>actually mean to you? Transitory inflation? So to me, it's

0:22:20.600 --> 0:22:24.639
<v Speaker 1>just about, you know, how long that rate of change

0:22:24.680 --> 0:22:29.160
<v Speaker 1>continues to sort of accelerate. So you know, use cards

0:22:29.200 --> 0:22:32.440
<v Speaker 1>going up yar over a year from zero basically, which

0:22:32.480 --> 0:22:36.399
<v Speaker 1>is where they were pre pandemic too. Now the question

0:22:36.520 --> 0:22:39.520
<v Speaker 1>is how long can we sort of not just how

0:22:39.560 --> 0:22:41.760
<v Speaker 1>long will that persists, but can it continually go up

0:22:41.760 --> 0:22:44.080
<v Speaker 1>at sort of the rates we've seen over over the

0:22:44.160 --> 0:22:46.560
<v Speaker 1>last six months. That's kind of the way I think

0:22:46.560 --> 0:22:49.400
<v Speaker 1>about it. That's I think the way that share Powell

0:22:49.480 --> 0:22:53.800
<v Speaker 1>has sort of explained inflation as well, is it's this

0:22:53.880 --> 0:22:57.000
<v Speaker 1>process of can we see continually this rate of growth

0:22:57.359 --> 0:23:00.480
<v Speaker 1>sort of accelerate year after year after year, And that's

0:23:00.480 --> 0:23:02.480
<v Speaker 1>what we're sort of looking at for these components, but

0:23:02.560 --> 0:23:05.399
<v Speaker 1>obviously much more sort of in the short term. But

0:23:05.440 --> 0:23:07.080
<v Speaker 1>I do think there's a couple of ways to think

0:23:07.119 --> 0:23:10.359
<v Speaker 1>about this transitory question. And if you're trying to figure

0:23:10.359 --> 0:23:13.919
<v Speaker 1>out is is the inflation I'm saying that transitory or

0:23:13.960 --> 0:23:17.040
<v Speaker 1>is it gonna continue will spread out to other components.

0:23:17.800 --> 0:23:19.280
<v Speaker 1>There's I think a few ways to kind of think

0:23:19.320 --> 0:23:22.600
<v Speaker 1>about that um. One, for example, is just simply look

0:23:22.640 --> 0:23:27.080
<v Speaker 1>at the dispersion within the cp I, so you know

0:23:27.160 --> 0:23:31.320
<v Speaker 1>what share of components are seeing price increases today versus

0:23:31.359 --> 0:23:33.920
<v Speaker 1>price decreases, And also you know what does that look

0:23:34.000 --> 0:23:37.159
<v Speaker 1>like on a weighted average basis versus history. So you

0:23:37.200 --> 0:23:40.240
<v Speaker 1>could have a lot of components, for example, rising, but

0:23:40.280 --> 0:23:42.920
<v Speaker 1>if combined the weight of those components is not that

0:23:42.920 --> 0:23:46.280
<v Speaker 1>that high, it really may not matter for kind of

0:23:46.320 --> 0:23:49.399
<v Speaker 1>the longer term inflation picture. Another thing that I like

0:23:49.440 --> 0:23:52.240
<v Speaker 1>to look at is momentum within the core cp I.

0:23:52.880 --> 0:23:55.280
<v Speaker 1>So here what I want to look at is, you know,

0:23:55.400 --> 0:23:58.560
<v Speaker 1>what is the share of components that are either accelerating

0:23:59.359 --> 0:24:02.000
<v Speaker 1>or de cel a rating within the corese c p I.

0:24:02.480 --> 0:24:04.040
<v Speaker 1>And here you can sort of you know, normally you

0:24:04.040 --> 0:24:07.080
<v Speaker 1>would look at, for example, the twelve month change in

0:24:07.160 --> 0:24:09.679
<v Speaker 1>the year of a year rate of specific components and

0:24:09.720 --> 0:24:12.800
<v Speaker 1>see if that's picking up steam or losing steam, and

0:24:12.880 --> 0:24:15.720
<v Speaker 1>that once you wait those those sort of changes gives

0:24:15.720 --> 0:24:18.640
<v Speaker 1>you a sense of kind of the underlying momentum that's

0:24:18.680 --> 0:24:21.800
<v Speaker 1>really sort of driving the you know, the aggregate core number.

0:24:22.240 --> 0:24:23.880
<v Speaker 1>And then one final thing, which I think is pretty

0:24:23.880 --> 0:24:26.600
<v Speaker 1>important right now, especially since we're sort of comparing everything

0:24:26.640 --> 0:24:29.800
<v Speaker 1>to kind of the pre pandemic time, is you've got

0:24:29.840 --> 0:24:32.280
<v Speaker 1>to kind of keep a close eye on where the

0:24:32.320 --> 0:24:37.159
<v Speaker 1>price level is today for certain components versus not just

0:24:37.200 --> 0:24:40.760
<v Speaker 1>where it was let's say in but where would you

0:24:40.800 --> 0:24:43.679
<v Speaker 1>expect it to be today, you know, given the pre

0:24:43.760 --> 0:24:46.920
<v Speaker 1>pandemic trend. So are we overshooting that or are we

0:24:47.000 --> 0:24:49.240
<v Speaker 1>undershooting that? And I think a good example here is

0:24:49.240 --> 0:24:52.399
<v Speaker 1>something like air fares. Right there's still about ten percent

0:24:52.480 --> 0:24:56.119
<v Speaker 1>above excuse me below their fable, but they're more like

0:24:56.840 --> 0:24:59.560
<v Speaker 1>pent below where you would expect them to be if

0:24:59.600 --> 0:25:02.760
<v Speaker 1>they had just continued on their pre pandemic trend. So

0:25:03.400 --> 0:25:06.240
<v Speaker 1>that kind of tells you, you know, things normalize. That's

0:25:06.240 --> 0:25:08.320
<v Speaker 1>an area where you might start to see some upward

0:25:08.320 --> 0:25:10.640
<v Speaker 1>pressure come, as in airfares. And on the flip side,

0:25:10.880 --> 0:25:13.360
<v Speaker 1>hotel rates are running about eight percent above where you'd

0:25:13.359 --> 0:25:15.560
<v Speaker 1>expect them to be right now, and so that's the

0:25:15.560 --> 0:25:17.360
<v Speaker 1>place where you might get a little bit of get back.

0:25:17.400 --> 0:25:20.680
<v Speaker 1>And if you don't, then then you you know, potentially

0:25:20.680 --> 0:25:22.440
<v Speaker 1>start to get a little bit concerned that this might

0:25:22.520 --> 0:25:25.840
<v Speaker 1>stick a bit longer than you would have expected. Big picture,

0:25:25.880 --> 0:25:28.040
<v Speaker 1>I mean, we you know, we we fixate on a

0:25:28.080 --> 0:25:32.320
<v Speaker 1>few of these so called reopening categories, and used cars

0:25:32.640 --> 0:25:35.520
<v Speaker 1>we know the story there, and rental cars we know

0:25:35.600 --> 0:25:39.680
<v Speaker 1>the story there. And with airplanes and hotels we understand

0:25:39.720 --> 0:25:42.080
<v Speaker 1>some of this also. You know, we talk a lot

0:25:42.160 --> 0:25:46.400
<v Speaker 1>about certain goods related that relate to shipping and logistics,

0:25:46.440 --> 0:25:49.080
<v Speaker 1>which we know is supply chains jammed. When you look

0:25:49.119 --> 0:25:52.359
<v Speaker 1>at some of these measures, like you do the breadth

0:25:52.400 --> 0:25:57.159
<v Speaker 1>of the inflation, general inflation momentum and so forth, what

0:25:57.240 --> 0:26:00.119
<v Speaker 1>are you seeing right now? Is their process happening. It

0:26:00.200 --> 0:26:04.440
<v Speaker 1>appears to be broadening out, and momentum is gathering steam

0:26:04.600 --> 0:26:07.480
<v Speaker 1>or or is it something else? You know, let's let's

0:26:08.040 --> 0:26:09.639
<v Speaker 1>we go back to its kind of the FATS preferred

0:26:09.680 --> 0:26:12.320
<v Speaker 1>measure of the PC. The San Francisco FAT actually does

0:26:12.359 --> 0:26:14.280
<v Speaker 1>a nice job keeping track of some of these dispersion

0:26:14.320 --> 0:26:17.080
<v Speaker 1>measures and so on. And what you look at now

0:26:17.240 --> 0:26:20.240
<v Speaker 1>is that about roughly, you know, if you sort of

0:26:20.240 --> 0:26:24.439
<v Speaker 1>look at all the components in the PC, about eight

0:26:24.720 --> 0:26:29.080
<v Speaker 1>percent of them currently are showing price games. And you

0:26:29.080 --> 0:26:31.480
<v Speaker 1>know that sounds like a pretty big number. That most

0:26:31.480 --> 0:26:34.359
<v Speaker 1>of the most of you know, the components arising, but

0:26:34.440 --> 0:26:36.600
<v Speaker 1>in fact it's it's only a couple of percentage points

0:26:36.680 --> 0:26:39.639
<v Speaker 1>more than what we were seeing sort of you know,

0:26:39.680 --> 0:26:42.720
<v Speaker 1>pre pandemic. So it doesn't it's not clear to me

0:26:42.760 --> 0:26:47.240
<v Speaker 1>that we've seen a big broadening out of of price pressures.

0:26:47.760 --> 0:26:52.040
<v Speaker 1>We've seen, as you mentioned, just really concentrated increases in

0:26:52.080 --> 0:26:55.280
<v Speaker 1>pressures in some components. So I'm still very much in

0:26:55.320 --> 0:26:57.600
<v Speaker 1>the camp that you know, as we sort of get

0:26:57.600 --> 0:27:01.920
<v Speaker 1>through the spring of two, we're essentially going to see

0:27:02.160 --> 0:27:04.160
<v Speaker 1>a lot of slow down I think in the core

0:27:04.200 --> 0:27:06.760
<v Speaker 1>and much more I think in the core PC for example.

0:27:07.000 --> 0:27:08.560
<v Speaker 1>Like I wouldn't be surprised if by the middle of

0:27:08.600 --> 0:27:11.600
<v Speaker 1>twenty two we're talking about core PC being closer to

0:27:11.680 --> 0:27:16.119
<v Speaker 1>around two whereas the core CPI potentially is is still

0:27:16.320 --> 0:27:18.639
<v Speaker 1>you know, punching along and around two and a half percent.

0:27:19.000 --> 0:27:21.119
<v Speaker 1>And one thing I just want to mention is, you know,

0:27:21.119 --> 0:27:22.560
<v Speaker 1>you talked a little bit about some of these macro

0:27:22.680 --> 0:27:25.560
<v Speaker 1>stories with you know, chip shortages and so on. You know,

0:27:25.560 --> 0:27:27.800
<v Speaker 1>these are important, right we we we we like to

0:27:27.840 --> 0:27:31.159
<v Speaker 1>have narratives to try to explain something. But one of

0:27:31.200 --> 0:27:33.240
<v Speaker 1>the things with when you are really in the weeds

0:27:33.240 --> 0:27:36.240
<v Speaker 1>of this inflation data. Is that as important as those

0:27:36.320 --> 0:27:40.000
<v Speaker 1>narratives are to kind of understand the picture, most people

0:27:40.000 --> 0:27:41.840
<v Speaker 1>don't really pay attention to the fact that a lot

0:27:41.920 --> 0:27:44.040
<v Speaker 1>of price movements that you tend to see have nothing

0:27:44.040 --> 0:27:46.720
<v Speaker 1>to do with the macro story or a micro story.

0:27:46.760 --> 0:27:50.919
<v Speaker 1>It's literally just about the way the methodology works in

0:27:51.000 --> 0:27:54.879
<v Speaker 1>the index. It's about the seasonality of the index. You know,

0:27:54.960 --> 0:27:59.400
<v Speaker 1>it's about changes in the way we actually compute and

0:27:59.440 --> 0:28:02.560
<v Speaker 1>construct the data, and it has less to do with

0:28:02.760 --> 0:28:05.880
<v Speaker 1>you know, these broader stories that we're trying to explain.

0:28:06.160 --> 0:28:08.480
<v Speaker 1>We're trying to use explain the inflation number. Sometimes it's

0:28:08.520 --> 0:28:12.880
<v Speaker 1>just about understanding how this thing is built and sort

0:28:12.920 --> 0:28:16.000
<v Speaker 1>of really getting into the weeds of, you know, understanding

0:28:16.040 --> 0:28:17.800
<v Speaker 1>the parts that sort of make up the sum. And

0:28:17.840 --> 0:28:20.399
<v Speaker 1>that good example is motor vehicle insurance. This is an

0:28:20.400 --> 0:28:22.080
<v Speaker 1>index that you know a lot of people don't pay

0:28:22.080 --> 0:28:24.840
<v Speaker 1>attention to. Last month was down about two and a

0:28:24.840 --> 0:28:26.840
<v Speaker 1>half percent, you know, a little bit less than a

0:28:26.840 --> 0:28:29.680
<v Speaker 1>full tenth off the core CPI, which is a lot

0:28:29.680 --> 0:28:32.679
<v Speaker 1>when the core is around point three only and it

0:28:32.720 --> 0:28:34.800
<v Speaker 1>has nothing to do with a big story. You know,

0:28:35.080 --> 0:28:38.120
<v Speaker 1>UM insurers are not cutting your your rates. It just

0:28:38.200 --> 0:28:40.880
<v Speaker 1>has to do with the way the seasonality is working

0:28:40.880 --> 0:28:43.520
<v Speaker 1>out this year for this particular index, and it's going

0:28:43.560 --> 0:28:47.040
<v Speaker 1>to be a very similar story when the next point

0:28:47.080 --> 0:28:49.920
<v Speaker 1>comes out insurance motor vehicle insurance should be down around

0:28:49.920 --> 0:28:52.360
<v Speaker 1>two and a half three percent. Again, do you just

0:28:52.640 --> 0:28:56.440
<v Speaker 1>to the seasonal factor. So, no big story, but if

0:28:56.440 --> 0:28:59.120
<v Speaker 1>you understand the seasonality and understand how this thing is constructed,

0:28:59.800 --> 0:29:02.920
<v Speaker 1>it gives you an edge in terms of forecasting. Uh,

0:29:03.040 --> 0:29:06.600
<v Speaker 1>this number just to play Devil's advocate for a second.

0:29:06.680 --> 0:29:09.160
<v Speaker 1>So um, when it comes to those macro stories that

0:29:09.200 --> 0:29:11.560
<v Speaker 1>you just mentioned, one of the things that Joe and

0:29:11.600 --> 0:29:13.720
<v Speaker 1>I have been discussing a lot over the past year

0:29:13.800 --> 0:29:16.760
<v Speaker 1>or so is this idea of the bullwidth effect and

0:29:16.800 --> 0:29:20.400
<v Speaker 1>that you end up seeing a massive amount of volatility

0:29:21.120 --> 0:29:26.240
<v Speaker 1>in orders and stockpiling because of the uncertain environment. So

0:29:26.360 --> 0:29:28.120
<v Speaker 1>you know, you get a shortage one month and then

0:29:28.160 --> 0:29:30.400
<v Speaker 1>everyone ramps up their orders because they don't want to

0:29:30.400 --> 0:29:33.360
<v Speaker 1>be caught short again, and suddenly they're oversupplied and you

0:29:33.400 --> 0:29:37.440
<v Speaker 1>get these sort of intense um price increases and decreases.

0:29:37.840 --> 0:29:40.840
<v Speaker 1>So I guess my question is, like, is that a

0:29:41.040 --> 0:29:46.360
<v Speaker 1>risk to inflation Actually proving transitory. Is that something that

0:29:46.400 --> 0:29:49.960
<v Speaker 1>could start to come into play. Yeah, that's a that's

0:29:49.960 --> 0:29:53.479
<v Speaker 1>a good point. It's it's possible. But I think you know,

0:29:53.520 --> 0:29:56.280
<v Speaker 1>where you would see that obviously would be a ramping

0:29:56.360 --> 0:29:59.600
<v Speaker 1>up in in the inventory numbers for some of the

0:30:00.040 --> 0:30:02.120
<v Speaker 1>you know, the places where we're seeing where we are

0:30:02.160 --> 0:30:05.760
<v Speaker 1>seeing shortages now, where we are seeing orders pick up steam,

0:30:05.800 --> 0:30:09.080
<v Speaker 1>you know, I mean, honestly, to some extent to your point,

0:30:09.480 --> 0:30:11.920
<v Speaker 1>we're kind of seeing this. We use cars now, so

0:30:12.120 --> 0:30:14.800
<v Speaker 1>wholesale prices have been coming off the last couple of months,

0:30:15.440 --> 0:30:17.720
<v Speaker 1>and again where you really want to look as on

0:30:17.760 --> 0:30:21.640
<v Speaker 1>the inventory side, so when you look at use cars,

0:30:21.800 --> 0:30:24.200
<v Speaker 1>when you look at the wholesale piece of that, we're

0:30:24.200 --> 0:30:26.880
<v Speaker 1>only about a couple of days below a normal level

0:30:26.880 --> 0:30:31.200
<v Speaker 1>of inventory for wholesale used vehicles, and on the retail

0:30:31.240 --> 0:30:34.680
<v Speaker 1>side is actually pretty similar as well. So you know,

0:30:34.720 --> 0:30:37.600
<v Speaker 1>we were catching up on the inventory side and getting

0:30:37.600 --> 0:30:41.280
<v Speaker 1>to something that actually really resembles normality in the wholesale

0:30:41.360 --> 0:30:45.200
<v Speaker 1>used vehicle market. And you know, low and Behold you

0:30:45.520 --> 0:30:48.040
<v Speaker 1>were down about three or four and wholesale prices over

0:30:48.080 --> 0:30:51.000
<v Speaker 1>the last couple of months. So I think, sort of

0:30:51.040 --> 0:30:52.520
<v Speaker 1>to your point, I think where we are starting to

0:30:52.560 --> 0:30:54.920
<v Speaker 1>see some of that happen in some of these components.

0:31:12.000 --> 0:31:13.600
<v Speaker 1>So I'm thinking, you know, I kind of want to

0:31:13.720 --> 0:31:16.400
<v Speaker 1>zoom out a little bit and talk about the relationship

0:31:16.440 --> 0:31:19.080
<v Speaker 1>between some of your work and you know, how investors

0:31:19.160 --> 0:31:22.160
<v Speaker 1>use it. You've been on the cell side, You've been

0:31:22.160 --> 0:31:24.520
<v Speaker 1>on the BI side, now you have your own shop.

0:31:24.880 --> 0:31:27.280
<v Speaker 1>As Tracy and I have talked about the past episodes,

0:31:27.360 --> 0:31:30.680
<v Speaker 1>inflation gets people going. It gets consumers going emotionally, but

0:31:30.720 --> 0:31:33.320
<v Speaker 1>it also gets traders and investors going, and people are

0:31:33.400 --> 0:31:36.840
<v Speaker 1>very strong views about the FED and so forth. I'm

0:31:36.840 --> 0:31:41.520
<v Speaker 1>curious about like receptiveness to your way of thinking, because

0:31:41.560 --> 0:31:44.160
<v Speaker 1>you obviously clearly take this bottoms up approach where it

0:31:44.200 --> 0:31:48.360
<v Speaker 1>looked not only at individual categories, but individual category construction.

0:31:49.360 --> 0:31:51.720
<v Speaker 1>How do like, you know, traders investors who want to

0:31:51.800 --> 0:31:55.320
<v Speaker 1>use this, are they receptive to it? Are they do

0:31:55.400 --> 0:31:58.440
<v Speaker 1>they get you know, are they angry at the ideas like, oh,

0:31:58.560 --> 0:32:01.160
<v Speaker 1>you know, this is all the FED money printing, etcetera.

0:32:01.200 --> 0:32:02.840
<v Speaker 1>Which is kind of seems to be the opposite of

0:32:02.880 --> 0:32:04.800
<v Speaker 1>how you think about these questions. What do you talk

0:32:04.840 --> 0:32:07.280
<v Speaker 1>a little bit more about your work and how how

0:32:07.320 --> 0:32:09.960
<v Speaker 1>investors use it? I think, but the most part, people

0:32:09.960 --> 0:32:12.040
<v Speaker 1>are incredibly receptive to it. I mean, when I started

0:32:12.080 --> 0:32:14.800
<v Speaker 1>doing this, um, I don't know of many shops or

0:32:14.800 --> 0:32:17.600
<v Speaker 1>many individuals who were taking this kind of bottom approach

0:32:17.600 --> 0:32:20.480
<v Speaker 1>and sort of doing you know, detailed analysis of the

0:32:20.520 --> 0:32:23.720
<v Speaker 1>components and index construction and so on. And I think

0:32:23.800 --> 0:32:27.360
<v Speaker 1>people are especially periods like this, they want to understand

0:32:27.400 --> 0:32:31.160
<v Speaker 1>what is moving the print, Is it a one off print,

0:32:31.280 --> 0:32:33.760
<v Speaker 1>is there you know, was there something driving it this

0:32:33.800 --> 0:32:36.200
<v Speaker 1>month that could be more persistent? And how do I

0:32:36.240 --> 0:32:38.920
<v Speaker 1>think about that for the following month. Because if you're

0:32:38.920 --> 0:32:41.200
<v Speaker 1>an investor and you're you know, in the tips market,

0:32:41.280 --> 0:32:45.160
<v Speaker 1>or you're you're, you know, interested in the fixings, one

0:32:45.200 --> 0:32:48.040
<v Speaker 1>month obviously influences everything, and so you really want to

0:32:48.080 --> 0:32:51.000
<v Speaker 1>understand what is what's going on kind of beneath the

0:32:51.000 --> 0:32:53.160
<v Speaker 1>hood of the data. So I think people are incredibly receptive.

0:32:53.640 --> 0:32:55.760
<v Speaker 1>And you know, in terms of getting pushed back from

0:32:55.760 --> 0:32:57.480
<v Speaker 1>folks who are like, hey, this is just the FEDS

0:32:57.480 --> 0:33:01.880
<v Speaker 1>money printing, there's there's always element of that, but I

0:33:01.920 --> 0:33:04.160
<v Speaker 1>find that those are the folks who were, you know,

0:33:04.400 --> 0:33:09.680
<v Speaker 1>potentially removed from actually trading or managing money. Um, you know,

0:33:09.800 --> 0:33:11.760
<v Speaker 1>the folks who are managing the money. They are into

0:33:11.800 --> 0:33:14.680
<v Speaker 1>the weeds of it. And you know, it's funny because,

0:33:15.080 --> 0:33:16.960
<v Speaker 1>as I mentioned, when I was on the cell side,

0:33:17.360 --> 0:33:19.080
<v Speaker 1>when I did this, very few people did it. Now,

0:33:19.280 --> 0:33:20.720
<v Speaker 1>being on the buy side of the last two years,

0:33:20.760 --> 0:33:23.120
<v Speaker 1>I was a consumer of all the cell side research,

0:33:23.600 --> 0:33:25.560
<v Speaker 1>so I got all the research from the banks on

0:33:25.640 --> 0:33:28.400
<v Speaker 1>inflation and how they forecast it and so on. And

0:33:28.560 --> 0:33:31.200
<v Speaker 1>it's it's funny to me because now a lot of

0:33:31.240 --> 0:33:33.800
<v Speaker 1>people take this bottom of approach on on the cell

0:33:33.840 --> 0:33:36.640
<v Speaker 1>side as well, some more so than others, but it's

0:33:36.720 --> 0:33:38.760
<v Speaker 1>kind of the way everyone on the cell side is

0:33:38.800 --> 0:33:41.640
<v Speaker 1>doing it now because I think there's a value add

0:33:41.720 --> 0:33:45.560
<v Speaker 1>in understanding the weeds of you know, what's driving shelter

0:33:45.640 --> 0:33:49.520
<v Speaker 1>inflation and what's driving apparel prices and so on, because

0:33:49.560 --> 0:33:51.720
<v Speaker 1>it really does give you a window into where the

0:33:52.000 --> 0:33:55.280
<v Speaker 1>kind of headline numbers going and importantly, is it going

0:33:55.320 --> 0:33:56.760
<v Speaker 1>to stick or is it just you know, kind of

0:33:56.760 --> 0:34:00.160
<v Speaker 1>a one off. So in a bottom up approach like

0:34:00.200 --> 0:34:02.840
<v Speaker 1>the one, you just describe what role, if any, does

0:34:02.880 --> 0:34:06.200
<v Speaker 1>monetary policy actually play. And you know, I'm thinking of

0:34:06.240 --> 0:34:09.640
<v Speaker 1>that famous Milton Friedman quote about inflation is always in

0:34:09.719 --> 0:34:14.600
<v Speaker 1>everywhere a monetary phenomenon like is that incorporated anywhere in

0:34:14.640 --> 0:34:16.719
<v Speaker 1>the type of work that you do, or is it

0:34:16.840 --> 0:34:19.520
<v Speaker 1>irrelevant the way when you're when you're doing the sort

0:34:19.520 --> 0:34:22.560
<v Speaker 1>of approach, it is almost by design, it's a very

0:34:22.600 --> 0:34:25.000
<v Speaker 1>short term approach. You know, I'm not going to sit

0:34:25.080 --> 0:34:27.759
<v Speaker 1>here and say, hey, I'm in a forecast inflation for

0:34:27.800 --> 0:34:31.439
<v Speaker 1>the next five years, um doing this approach because it's

0:34:31.440 --> 0:34:34.319
<v Speaker 1>it's just not designed to do anything like that. When

0:34:34.320 --> 0:34:36.719
<v Speaker 1>you're doing something like this, it's much more looking at

0:34:36.840 --> 0:34:41.640
<v Speaker 1>let's say the twelve next, twelve to eighteen months UM.

0:34:41.719 --> 0:34:43.720
<v Speaker 1>And really, if you think about policy in the lags,

0:34:43.760 --> 0:34:47.799
<v Speaker 1>you know, to some extent, you know, maybe it's impacting, uh,

0:34:47.920 --> 0:34:50.319
<v Speaker 1>some of these components in that time frame, let's say,

0:34:50.400 --> 0:34:54.240
<v Speaker 1>especially housing, but in the twelve eighteen months, it doesn't

0:34:54.280 --> 0:34:56.799
<v Speaker 1>play that big of a role. And honestly, if you

0:34:56.800 --> 0:34:59.840
<v Speaker 1>even think about the way that these indexes work. The

0:35:00.000 --> 0:35:01.640
<v Speaker 1>San Francisco Found a couple of years ago had a

0:35:01.640 --> 0:35:04.600
<v Speaker 1>great paper where they applied kind of the Phillips curve

0:35:04.680 --> 0:35:09.960
<v Speaker 1>methodology to individual components of the PC and what they

0:35:09.960 --> 0:35:12.719
<v Speaker 1>found was a roughly sixty percent of these components or

0:35:12.760 --> 0:35:17.040
<v Speaker 1>what they would term a cyclical and essentially, you know,

0:35:17.120 --> 0:35:20.120
<v Speaker 1>policy can't really impact them. So stuff like medical care,

0:35:20.160 --> 0:35:23.879
<v Speaker 1>for example, whatever you're doing with policy is probably not

0:35:23.960 --> 0:35:27.279
<v Speaker 1>really going to impact physicians prices um or you know,

0:35:27.320 --> 0:35:31.600
<v Speaker 1>hospital prices, and so six the index just doesn't really

0:35:31.760 --> 0:35:36.239
<v Speaker 1>react to policy. And even that does, you know, it's

0:35:36.239 --> 0:35:37.880
<v Speaker 1>going to be a bit of time. That's twelve to

0:35:37.920 --> 0:35:42.960
<v Speaker 1>eighteen months, And this approach is pretty narrowly focused on

0:35:43.040 --> 0:35:45.000
<v Speaker 1>kind of you know, just that kind of window. So

0:35:45.640 --> 0:35:48.640
<v Speaker 1>I would say that if it does, it's kind of

0:35:48.719 --> 0:35:51.920
<v Speaker 1>hard to really it's hard to really incorporated into this

0:35:52.000 --> 0:35:55.239
<v Speaker 1>sort of a framework when you're thinking about forecasting. Should

0:35:55.239 --> 0:35:58.279
<v Speaker 1>we sort of established that there isn't that much of

0:35:58.320 --> 0:36:01.520
<v Speaker 1>a sort of cogent theory of an inflation from sort

0:36:01.520 --> 0:36:05.480
<v Speaker 1>of like pure macro standpoint. What is your pitch then?

0:36:05.800 --> 0:36:08.520
<v Speaker 1>Is it just that you're going to help explain what

0:36:08.600 --> 0:36:11.640
<v Speaker 1>you a little bit more about your pitch to potential

0:36:11.719 --> 0:36:15.880
<v Speaker 1>clients to help them understand what's going on. Like what

0:36:16.000 --> 0:36:17.759
<v Speaker 1>is it that you say it's like, okay, you do

0:36:18.400 --> 0:36:21.840
<v Speaker 1>at your new shop appropriately enough called inflation insights? What

0:36:22.040 --> 0:36:25.040
<v Speaker 1>is like the basic sales pitch of what you can

0:36:25.040 --> 0:36:28.799
<v Speaker 1>bring to the table. Sure, so you know, for for me,

0:36:28.880 --> 0:36:33.560
<v Speaker 1>my target audience, is mostly um, you know institutional clients, right, Um,

0:36:33.600 --> 0:36:35.839
<v Speaker 1>the folks who actually are are trading tips and who

0:36:35.840 --> 0:36:39.080
<v Speaker 1>are trading to fix things. Um, So in that respect

0:36:39.239 --> 0:36:41.680
<v Speaker 1>that the pitch is really sort of uh. I would

0:36:41.680 --> 0:36:44.319
<v Speaker 1>say there's kind of three main elements. One is the

0:36:44.320 --> 0:36:47.040
<v Speaker 1>actual forecast. You know, for me, luckily, I've been doing

0:36:47.040 --> 0:36:50.080
<v Speaker 1>this long enough where I've got a reputation, I've got

0:36:50.120 --> 0:36:52.000
<v Speaker 1>a hit track record in history that I can present

0:36:52.040 --> 0:36:54.560
<v Speaker 1>to clients and say, look what I'm trying to build.

0:36:54.560 --> 0:36:56.880
<v Speaker 1>Here is the best in class forecasts, Um that you

0:36:56.920 --> 0:36:58.960
<v Speaker 1>will get on the c P I S N s

0:36:59.040 --> 0:37:02.279
<v Speaker 1>A Index, which is what matters for tips, and kind

0:37:02.280 --> 0:37:05.080
<v Speaker 1>of here's my my history of that, and that's you know,

0:37:05.440 --> 0:37:07.640
<v Speaker 1>the goal for is to have that be the best

0:37:07.640 --> 0:37:10.440
<v Speaker 1>in class moving forward. The second is just the detailed

0:37:10.440 --> 0:37:14.640
<v Speaker 1>analysis making sure that everyone understands what's going on. And

0:37:14.719 --> 0:37:17.560
<v Speaker 1>the timeliness I think also matters quite a lot. So

0:37:18.040 --> 0:37:20.120
<v Speaker 1>you know, the stuff that I put out typically will

0:37:20.160 --> 0:37:22.640
<v Speaker 1>be well in advance of anything you're gonna get from

0:37:22.640 --> 0:37:26.440
<v Speaker 1>the south side, and it will give you an opportunity. Um,

0:37:26.520 --> 0:37:28.080
<v Speaker 1>you know, if you agree with my view, for example,

0:37:28.360 --> 0:37:30.960
<v Speaker 1>that it will give you opportunity to actually traded in

0:37:31.000 --> 0:37:33.640
<v Speaker 1>the market before the CPI comes out, whereas right now

0:37:33.680 --> 0:37:35.919
<v Speaker 1>a lot of seal side research, you know, it's coming

0:37:35.920 --> 0:37:38.840
<v Speaker 1>out forty eight hours before the number prints, and that's

0:37:38.880 --> 0:37:41.840
<v Speaker 1>really not much of an edge, but it's the detail analysis,

0:37:41.840 --> 0:37:45.600
<v Speaker 1>the timeliness, and then finally, you know, I would say

0:37:45.600 --> 0:37:48.520
<v Speaker 1>I'm probably on the horn with the BLS, if not daily,

0:37:48.760 --> 0:37:50.920
<v Speaker 1>you know, at least once a week. Even though I've

0:37:50.960 --> 0:37:52.880
<v Speaker 1>been doing this for a long time. It is honestly

0:37:52.960 --> 0:37:56.440
<v Speaker 1>just a constant kind of learning process. I mean, there's

0:37:57.440 --> 0:38:01.600
<v Speaker 1>there's about two eleven indicators that go into the cp I.

0:38:02.200 --> 0:38:06.360
<v Speaker 1>There's over seven thousand basic item in area indexes that

0:38:06.440 --> 0:38:09.440
<v Speaker 1>you could look at, and so it's just kind of

0:38:09.440 --> 0:38:12.680
<v Speaker 1>a constant learning process. And it's you know, for me,

0:38:12.719 --> 0:38:16.000
<v Speaker 1>I've always had this likely good rapport with with the

0:38:16.000 --> 0:38:18.280
<v Speaker 1>folks there, who I think are incredibly helpful in terms

0:38:18.280 --> 0:38:21.680
<v Speaker 1>of learning about the components and so on, And that's

0:38:21.840 --> 0:38:23.880
<v Speaker 1>sort of the kind of I think, you know, the

0:38:23.960 --> 0:38:25.759
<v Speaker 1>kind of knowledge you're not really going to be able

0:38:25.800 --> 0:38:29.080
<v Speaker 1>to get most other places. So now I have to

0:38:29.120 --> 0:38:32.280
<v Speaker 1>ask how specific you can actually get when it comes

0:38:32.320 --> 0:38:36.640
<v Speaker 1>to the inflation baskets. So this is a really weird question.

0:38:36.680 --> 0:38:39.520
<v Speaker 1>But I went on like a massive tangent a couple

0:38:39.560 --> 0:38:41.879
<v Speaker 1>of weeks ago because there was a restaurant in North

0:38:41.920 --> 0:38:45.200
<v Speaker 1>Carolina that that a guy was quoted as saying that

0:38:45.239 --> 0:38:47.960
<v Speaker 1>he was spending two hundred dollars more per week in

0:38:48.120 --> 0:38:52.040
<v Speaker 1>mayonnaise because of inflation, and so of course everyone started

0:38:52.080 --> 0:38:55.960
<v Speaker 1>calculating like, well, how much mayonnaise is this restaurant actually

0:38:56.000 --> 0:38:59.080
<v Speaker 1>buying based on CPI, And then I started going on

0:38:59.120 --> 0:39:02.520
<v Speaker 1>Bloomberg and looking at the components and c p I,

0:39:02.680 --> 0:39:07.240
<v Speaker 1>and it turns out mayonnaise comes under the salad dressing

0:39:07.480 --> 0:39:12.120
<v Speaker 1>um and spreads basket. And so I guess I'm just curious, like,

0:39:13.120 --> 0:39:15.840
<v Speaker 1>how in the weeds do you go? And can you

0:39:15.920 --> 0:39:20.120
<v Speaker 1>give me like a quick, uh quick read on what's

0:39:20.120 --> 0:39:24.319
<v Speaker 1>going on with with salad dressings? Yeah, so I don't

0:39:24.360 --> 0:39:26.560
<v Speaker 1>know if I can pull up the salad dressing forecast

0:39:26.719 --> 0:39:30.560
<v Speaker 1>just now, but you know I would stick. When you

0:39:30.600 --> 0:39:33.319
<v Speaker 1>get to kind of that level, Um, you have to

0:39:33.320 --> 0:39:35.399
<v Speaker 1>make choices, right, I mean, like I said, there's there's

0:39:35.440 --> 0:39:38.200
<v Speaker 1>over seven thousand I had to marry indexes. Uh, there's

0:39:38.239 --> 0:39:41.880
<v Speaker 1>over two sort of broad components in the c p I.

0:39:41.960 --> 0:39:44.200
<v Speaker 1>Most likely when you can kind of get something like food,

0:39:44.520 --> 0:39:48.239
<v Speaker 1>which has dozens of indexes, you kind of have to

0:39:48.280 --> 0:39:50.960
<v Speaker 1>make a choice in terms of how far are you

0:39:51.040 --> 0:39:53.680
<v Speaker 1>going to drill down. So I might follow all of these,

0:39:53.960 --> 0:39:55.879
<v Speaker 1>you know, I've got them in my spreadsheets and so on,

0:39:56.280 --> 0:39:58.400
<v Speaker 1>but when it kind of comes to forecasting, you're probably

0:39:58.440 --> 0:40:00.759
<v Speaker 1>gonna want to stick, for example, with looking at the

0:40:00.800 --> 0:40:03.160
<v Speaker 1>broader too, which is the food at home index, which

0:40:03.239 --> 0:40:06.520
<v Speaker 1>kind of encompasses the entire grocery basket and the food

0:40:06.520 --> 0:40:09.359
<v Speaker 1>away from home with restaurant prices and there with within

0:40:09.440 --> 0:40:11.960
<v Speaker 1>food at home. You know, you would if you want

0:40:11.960 --> 0:40:13.839
<v Speaker 1>to drill down, you would break break it down into

0:40:13.840 --> 0:40:16.800
<v Speaker 1>some of these components, so cereals, you know, the various

0:40:16.800 --> 0:40:19.880
<v Speaker 1>types of meats, eggs, food, vegetables and so on. But

0:40:20.840 --> 0:40:22.680
<v Speaker 1>it doesn't mean that you're necessarily going to go in

0:40:22.800 --> 0:40:26.680
<v Speaker 1>and you know, forecast uncooked beef steaks for example, right,

0:40:26.719 --> 0:40:29.680
<v Speaker 1>I mean you could, you could, but it would take

0:40:29.719 --> 0:40:32.000
<v Speaker 1>you a month or longer to just come up with

0:40:32.520 --> 0:40:35.120
<v Speaker 1>a simple forecast. I mean I used to spend probably

0:40:35.160 --> 0:40:38.360
<v Speaker 1>two days just doing the food forecast. So you have

0:40:38.440 --> 0:40:41.239
<v Speaker 1>to kind of make some choices about the timeliness of

0:40:41.239 --> 0:40:44.680
<v Speaker 1>your forecast and how uh, into the weeds you're going

0:40:44.719 --> 0:40:46.759
<v Speaker 1>to be able to go in order to produce something

0:40:46.800 --> 0:40:50.279
<v Speaker 1>that's actually you know, actionable. So this reminds me of

0:40:50.320 --> 0:40:52.600
<v Speaker 1>something I wanted to ask you. Um So, when I

0:40:52.640 --> 0:40:56.759
<v Speaker 1>was in my Mayo analysis adventure, one of the things

0:40:56.840 --> 0:40:59.000
<v Speaker 1>I was trying to do because I couldn't find an

0:40:59.000 --> 0:41:02.799
<v Speaker 1>inflation pick up in the official CPI basket, but I

0:41:02.880 --> 0:41:06.400
<v Speaker 1>tried to look at um an Amazon tracking website to

0:41:06.480 --> 0:41:10.400
<v Speaker 1>see if prices had gone up on Amazon. So I'm curious,

0:41:10.440 --> 0:41:13.400
<v Speaker 1>do you ever look at alternate data in order to

0:41:13.440 --> 0:41:15.880
<v Speaker 1>make your forecast? Yea, So there's a couple of things,

0:41:16.080 --> 0:41:19.839
<v Speaker 1>UM I do for certain components that where I will

0:41:19.880 --> 0:41:23.279
<v Speaker 1>look at you know, uh, non BLS data sets to

0:41:23.400 --> 0:41:25.239
<v Speaker 1>try to get a sense of what's going on. And

0:41:25.280 --> 0:41:28.040
<v Speaker 1>one of those, for example, is just airfares. Air Fares

0:41:28.120 --> 0:41:29.480
<v Speaker 1>is only worth you know, a little bit less on

0:41:29.440 --> 0:41:32.120
<v Speaker 1>one percent of the core, but it's it's basically been

0:41:32.120 --> 0:41:34.400
<v Speaker 1>the bane of my existence and forecasting for the last

0:41:34.440 --> 0:41:39.120
<v Speaker 1>you know, fifteen years, because it's incredibly convoluted the way

0:41:39.120 --> 0:41:42.080
<v Speaker 1>that it's done. But um, you know, at the end

0:41:42.080 --> 0:41:44.680
<v Speaker 1>of the day, what they're really pricing is you know,

0:41:45.360 --> 0:41:47.640
<v Speaker 1>they're going to the websites of you know, Delta American

0:41:47.719 --> 0:41:50.560
<v Speaker 1>Southwest so on UM, and they're pricing flights out, so

0:41:50.640 --> 0:41:53.800
<v Speaker 1>you can try and come up with an index yourself

0:41:54.239 --> 0:41:56.319
<v Speaker 1>where you just you know, go onto these websites and

0:41:56.400 --> 0:41:59.440
<v Speaker 1>try to say, hey, what's the flight, um, you know,

0:41:59.520 --> 0:42:01.239
<v Speaker 1>from your to l A going to cost me or

0:42:01.440 --> 0:42:04.600
<v Speaker 1>new or to Miami or whatever. And so you can

0:42:04.600 --> 0:42:06.600
<v Speaker 1>sort of look at those sorts of data to try

0:42:06.600 --> 0:42:09.839
<v Speaker 1>to help you forecast, um the airfare sundas. You can

0:42:09.840 --> 0:42:12.440
<v Speaker 1>look at you know, Black Book and JD Power and

0:42:12.480 --> 0:42:14.560
<v Speaker 1>so on to get a sense of what use card

0:42:14.600 --> 0:42:18.240
<v Speaker 1>prices might do. And then there's of course the Billion

0:42:18.280 --> 0:42:20.400
<v Speaker 1>Prices project there. I think you just have to be

0:42:20.440 --> 0:42:22.399
<v Speaker 1>a little bit careful because a lot of what they

0:42:22.440 --> 0:42:26.040
<v Speaker 1>are capturing is much more UM has much more to

0:42:26.080 --> 0:42:28.600
<v Speaker 1>do with goods prices and much less to do with

0:42:28.640 --> 0:42:31.719
<v Speaker 1>services prices. But for goods prices, you know, that does

0:42:31.760 --> 0:42:34.919
<v Speaker 1>a pretty decent job from time to time. So there

0:42:34.920 --> 0:42:37.280
<v Speaker 1>are other things that you can certainly look at gas Buddy,

0:42:37.280 --> 0:42:39.880
<v Speaker 1>which is actually now being used directly in the c

0:42:40.040 --> 0:42:42.719
<v Speaker 1>p I UM. So they've gone from having you know,

0:42:42.960 --> 0:42:46.200
<v Speaker 1>one thousand quotes on gasoline each month to having millions

0:42:46.200 --> 0:42:50.320
<v Speaker 1>of quotes because essentially they've crowdsourced the data is something

0:42:50.360 --> 0:42:51.960
<v Speaker 1>else that you can also look at. So there definitely

0:42:52.040 --> 0:42:54.960
<v Speaker 1>are alternative data sets that you can try to to

0:42:55.040 --> 0:42:58.600
<v Speaker 1>work into into your forecast. I just want to say, Tracy,

0:42:58.719 --> 0:43:01.279
<v Speaker 1>you you stole the question right. That was literally the

0:43:01.280 --> 0:43:03.360
<v Speaker 1>next thing I was gonna ask you. No, no, no,

0:43:03.440 --> 0:43:05.040
<v Speaker 1>that was great, You asked it. Great. But I just

0:43:05.120 --> 0:43:08.719
<v Speaker 1>weirdly continue to be perfect blade length. You know, I'm

0:43:09.400 --> 0:43:12.399
<v Speaker 1>bigger picture, or I guess sort of like medium term.

0:43:12.440 --> 0:43:15.279
<v Speaker 1>You know, you present, as you said a little bit ago,

0:43:15.320 --> 0:43:17.719
<v Speaker 1>when you look at some of the broader metrics, you

0:43:17.800 --> 0:43:23.319
<v Speaker 1>don't necessarily see a sustained upward move in inflation that

0:43:23.400 --> 0:43:25.839
<v Speaker 1>there isn't necessarily this kind of momentum that even if

0:43:25.880 --> 0:43:29.160
<v Speaker 1>rent were to go above um grow at a pace

0:43:29.280 --> 0:43:32.560
<v Speaker 1>that's well above historical averages, they might be offset. What

0:43:32.680 --> 0:43:35.240
<v Speaker 1>would make you worried or what would make you think, Okay,

0:43:35.280 --> 0:43:38.920
<v Speaker 1>this is going to be a type of elevated inflation

0:43:38.960 --> 0:43:44.320
<v Speaker 1>that persists. And maybe monetary policy doesn't really affect inflation

0:43:44.400 --> 0:43:47.719
<v Speaker 1>at least in the medium term, but inflation could certainly

0:43:47.960 --> 0:43:51.160
<v Speaker 1>affect monetary policy if the FED gets spooped or so forth.

0:43:51.280 --> 0:43:55.359
<v Speaker 1>So I assume that's important information for investors. What would

0:43:55.400 --> 0:43:57.840
<v Speaker 1>you be looking for saying through the rest of this

0:43:57.960 --> 0:44:00.279
<v Speaker 1>year or early next year to say, oh, this is

0:44:00.600 --> 0:44:02.960
<v Speaker 1>going to be higher and more persistent than I would

0:44:02.960 --> 0:44:05.040
<v Speaker 1>have gived. Yeah. So one of the things that's you know,

0:44:05.120 --> 0:44:07.600
<v Speaker 1>kind of come up in the last print or two, um,

0:44:07.640 --> 0:44:10.120
<v Speaker 1>that I'm going to be keeping a pretty close eye

0:44:10.120 --> 0:44:13.920
<v Speaker 1>on going forward, is this, you know, idea of whether

0:44:13.960 --> 0:44:16.680
<v Speaker 1>some of the pickup we've seen recently in wages begins

0:44:16.680 --> 0:44:19.959
<v Speaker 1>to pass through more persistently into the inflation data. And

0:44:20.280 --> 0:44:22.520
<v Speaker 1>you know, we saw this actually last month in the

0:44:22.520 --> 0:44:25.680
<v Speaker 1>food away from Home index. Um. You know, there was

0:44:25.880 --> 0:44:29.040
<v Speaker 1>a pretty big increase in what are called you know,

0:44:29.239 --> 0:44:33.160
<v Speaker 1>limited service restaurants so fast food, and it was for

0:44:33.160 --> 0:44:36.399
<v Speaker 1>for that index was was a huge huge jump. And

0:44:37.360 --> 0:44:39.759
<v Speaker 1>we know that wages are going up in lena leisure

0:44:39.800 --> 0:44:42.360
<v Speaker 1>and hospitality for example, and so the idea that some

0:44:42.440 --> 0:44:45.240
<v Speaker 1>of this might be feeding through, for example, into hotel

0:44:45.320 --> 0:44:48.919
<v Speaker 1>rates or limited service restaurants and things like that, those

0:44:48.920 --> 0:44:52.239
<v Speaker 1>are areas where potentially you start to say, okay, you know,

0:44:52.320 --> 0:44:54.360
<v Speaker 1>we've keep seeing wages move up at these sorts of

0:44:54.440 --> 0:44:57.440
<v Speaker 1>rates if this is what, if this really is that

0:44:57.520 --> 0:44:59.520
<v Speaker 1>kind of a path through, then this is potentially something

0:44:59.560 --> 0:45:02.680
<v Speaker 1>that is more persistent that will last into next year.

0:45:02.719 --> 0:45:04.719
<v Speaker 1>And it's not going to be something you know, sort

0:45:04.719 --> 0:45:06.600
<v Speaker 1>of a one off shock like let's say, you know,

0:45:06.640 --> 0:45:08.960
<v Speaker 1>oil price shock or something of that nature. You know,

0:45:09.040 --> 0:45:11.719
<v Speaker 1>this is something that is potentially more persistent. And I

0:45:11.760 --> 0:45:13.719
<v Speaker 1>have to say, I think even with something like use cars,

0:45:13.840 --> 0:45:15.880
<v Speaker 1>we know they're starting to come off, I am a

0:45:15.920 --> 0:45:18.480
<v Speaker 1>little bit wary of just kind of having a repeat

0:45:18.520 --> 0:45:21.120
<v Speaker 1>of what we had, which is, you know, last summer

0:45:21.120 --> 0:45:23.920
<v Speaker 1>we had a huge jumping used car prices, it completely

0:45:24.000 --> 0:45:27.520
<v Speaker 1>tailed off, they declined throughout the fall and winter until

0:45:27.640 --> 0:45:30.800
<v Speaker 1>we had another huge burst over the last several months.

0:45:31.640 --> 0:45:33.560
<v Speaker 1>And whether that's you know, mostly a function of sort

0:45:33.560 --> 0:45:35.520
<v Speaker 1>of the demand side or the supplies I'm definitely more

0:45:35.520 --> 0:45:38.440
<v Speaker 1>on the supply side part of that story. But you know,

0:45:38.560 --> 0:45:40.719
<v Speaker 1>it's we still have kind of to deal with this

0:45:40.800 --> 0:45:42.759
<v Speaker 1>idea of the delta variant and what's what is that

0:45:42.800 --> 0:45:45.560
<v Speaker 1>going to do to activity going forward? What's that going

0:45:45.600 --> 0:45:47.520
<v Speaker 1>to do for the demand for use cars and new

0:45:47.640 --> 0:45:50.799
<v Speaker 1>vehicles you know later into this year and into next year.

0:45:52.000 --> 0:45:54.120
<v Speaker 1>I don't know that anyone's got a good answer for that.

0:45:54.200 --> 0:45:56.760
<v Speaker 1>But that is something that I think kind of remains

0:45:56.800 --> 0:45:59.840
<v Speaker 1>or upward risk on the in the inflation story. Is

0:46:00.600 --> 0:46:02.640
<v Speaker 1>you know, we sort of see a repeat of some

0:46:02.719 --> 0:46:06.600
<v Speaker 1>of these um some of these upward pressures from from

0:46:06.640 --> 0:46:09.239
<v Speaker 1>you know, something like the delta variant going forward, but

0:46:09.280 --> 0:46:11.600
<v Speaker 1>more persistently, it would definitely be some of this wage

0:46:11.600 --> 0:46:14.080
<v Speaker 1>passed through into some of these components that I mentioned earlier.

0:46:15.000 --> 0:46:17.600
<v Speaker 1>So on a related note, is there you know, in

0:46:17.680 --> 0:46:23.680
<v Speaker 1>your very long career analyzing inflation, is there any particular

0:46:24.280 --> 0:46:28.399
<v Speaker 1>component that has just remained an absolute mystery to you?

0:46:28.520 --> 0:46:31.920
<v Speaker 1>And that is sort of like I guess, immune to

0:46:32.360 --> 0:46:36.399
<v Speaker 1>the bottom up analytical approach, like something that really flaw

0:46:36.480 --> 0:46:41.160
<v Speaker 1>makes you Yeah, I think apparel. Apparel is the is

0:46:41.200 --> 0:46:44.080
<v Speaker 1>one where in you know, years of doing this, I've

0:46:44.200 --> 0:46:49.320
<v Speaker 1>literally just never found anything that works at forecasting apparel

0:46:50.360 --> 0:46:53.000
<v Speaker 1>other than you know, one of the approaches I mentioned earlier,

0:46:53.040 --> 0:46:56.560
<v Speaker 1>which is just this naive approach of saying, Okay, you know,

0:46:56.600 --> 0:46:59.200
<v Speaker 1>looking at these things on an unadjusted basis, you get

0:46:59.239 --> 0:47:01.919
<v Speaker 1>a sense for a sort of seasonal patterns, and uh,

0:47:02.000 --> 0:47:05.200
<v Speaker 1>you know, let's say apparel every March tends to decline

0:47:05.200 --> 0:47:08.600
<v Speaker 1>by about two tents. You're going to be probably um,

0:47:09.239 --> 0:47:11.040
<v Speaker 1>doing a decent job if you put in you know,

0:47:11.320 --> 0:47:14.040
<v Speaker 1>a drop of two tents, because there's very little to

0:47:14.080 --> 0:47:16.719
<v Speaker 1>go on when it comes to two apparel prices. You know,

0:47:16.760 --> 0:47:20.920
<v Speaker 1>I've tried using everything from import prices, um two you know,

0:47:21.000 --> 0:47:23.919
<v Speaker 1>different data sets, retail sales and so on, and there's

0:47:23.920 --> 0:47:27.520
<v Speaker 1>just nothing that is gives you a good lead into

0:47:27.520 --> 0:47:30.600
<v Speaker 1>what apparel is doing. And that's been you know, that's

0:47:30.600 --> 0:47:34.160
<v Speaker 1>been another tough one to do. UM, not as difficult

0:47:34.200 --> 0:47:37.120
<v Speaker 1>as as air fares. Air fares at least you know

0:47:37.160 --> 0:47:41.319
<v Speaker 1>what they're doing, UM, you just can't replicate it exactly.

0:47:41.760 --> 0:47:44.200
<v Speaker 1>But Apparel's yeah, apparel is one that has just really

0:47:44.800 --> 0:47:46.600
<v Speaker 1>you sort of just have to lick the patterns and

0:47:46.600 --> 0:47:49.400
<v Speaker 1>and honestly, it's it's it's much more about kind of

0:47:49.400 --> 0:47:51.719
<v Speaker 1>looking at these patterns and thinking about, you know, to

0:47:51.760 --> 0:47:54.239
<v Speaker 1>what extent you're following the same trajectory as you did

0:47:54.280 --> 0:47:57.440
<v Speaker 1>in the past for something like apparel. So one of

0:47:57.480 --> 0:48:02.080
<v Speaker 1>the sources of like constant controversy and you know CPI inflation,

0:48:02.160 --> 0:48:04.319
<v Speaker 1>truth thors and so forth always like to talk about

0:48:04.360 --> 0:48:07.680
<v Speaker 1>it is like the so called hedonic adjustments, and they're

0:48:07.680 --> 0:48:10.000
<v Speaker 1>always like, oh, this is not you know, we all

0:48:10.080 --> 0:48:14.480
<v Speaker 1>we've all heard the conspiracy theories right now. For example, though,

0:48:14.719 --> 0:48:17.839
<v Speaker 1>if if everyone is complaining about the service they get

0:48:17.840 --> 0:48:21.600
<v Speaker 1>at restaurants because of the so called worker shortage, people

0:48:21.640 --> 0:48:24.279
<v Speaker 1>are complaining about the service they get at hotels, and

0:48:24.360 --> 0:48:27.319
<v Speaker 1>we know, for example that hotels in some cases have

0:48:27.440 --> 0:48:31.319
<v Speaker 1>degraded service or not picking up towels is often or

0:48:31.400 --> 0:48:35.120
<v Speaker 1>whatever it is. Are these sorts of things captured to

0:48:35.320 --> 0:48:37.040
<v Speaker 1>the BLS. I mean, as you said, you talk to

0:48:37.040 --> 0:48:39.600
<v Speaker 1>them all the time and you're trying to learn their approach.

0:48:39.960 --> 0:48:43.319
<v Speaker 1>Are they trying to capture these types of things such

0:48:43.440 --> 0:48:46.600
<v Speaker 1>that maybe the experience at a restaurant or a hotel

0:48:46.800 --> 0:48:52.120
<v Speaker 1>isn't what it was in no, so hedonic adjustments are

0:48:52.200 --> 0:48:57.960
<v Speaker 1>just applied um two goods. So yeah, and so you know,

0:48:58.040 --> 0:49:01.839
<v Speaker 1>if if I'm sure you kind of remember this whole

0:49:01.880 --> 0:49:04.960
<v Speaker 1>you know, wireless thing in Martial two seventeen. Yeah, so

0:49:05.040 --> 0:49:07.560
<v Speaker 1>things like that is where you see hedonics. Apparel is

0:49:07.600 --> 0:49:10.200
<v Speaker 1>one where you see hedonics um and it so it

0:49:10.200 --> 0:49:12.040
<v Speaker 1>really is just limited to goods. And also when you

0:49:12.040 --> 0:49:14.879
<v Speaker 1>think about hedonic adjustments, for the most part, I think

0:49:14.880 --> 0:49:17.200
<v Speaker 1>it's about only about four or five percent of the

0:49:17.239 --> 0:49:21.000
<v Speaker 1>c p I is actually subject to those sorts of

0:49:21.080 --> 0:49:25.120
<v Speaker 1>kind of quality adjustments. Um, you know, other indexes are

0:49:25.160 --> 0:49:27.759
<v Speaker 1>subject to other types of adjustments, but they tend to

0:49:27.800 --> 0:49:31.000
<v Speaker 1>be much smaller. So for example, with rent, you know, rent,

0:49:31.480 --> 0:49:35.160
<v Speaker 1>there's something called an age bias adjustment because you're let's say,

0:49:35.200 --> 0:49:37.319
<v Speaker 1>let's say you've got an apartment and you happen to

0:49:37.360 --> 0:49:39.960
<v Speaker 1>make it into the BLS survey and in January they

0:49:40.000 --> 0:49:41.560
<v Speaker 1>come to you and they say, you know, what do

0:49:41.600 --> 0:49:43.879
<v Speaker 1>you pay for rent? You give them a number. They

0:49:43.920 --> 0:49:46.799
<v Speaker 1>come back to you in July six months later, and

0:49:46.800 --> 0:49:48.480
<v Speaker 1>of course you let's say you've got your least your

0:49:48.480 --> 0:49:52.120
<v Speaker 1>rent hasn't changed, but your apartment six months older, and

0:49:52.160 --> 0:49:55.239
<v Speaker 1>so they apply what's called an age bias adjustment to

0:49:55.239 --> 0:49:58.279
<v Speaker 1>to your apartment. It doesn't really change, you know, very much.

0:49:58.360 --> 0:50:01.600
<v Speaker 1>But those are the other sort of types of adjustments

0:50:01.600 --> 0:50:04.120
<v Speaker 1>that the BLS will make. But for hedonics, it's it's

0:50:04.160 --> 0:50:07.239
<v Speaker 1>just not a big fraction of the index that is

0:50:07.280 --> 0:50:09.360
<v Speaker 1>really kind of getting that kind of a treatment. And

0:50:09.360 --> 0:50:11.279
<v Speaker 1>it's really only you know, it only really comes to

0:50:11.360 --> 0:50:13.359
<v Speaker 1>light when you have these huge moves like you did

0:50:13.360 --> 0:50:16.239
<v Speaker 1>with wireless a couple of years ago. Those sorts of

0:50:16.280 --> 0:50:19.280
<v Speaker 1>quality adjustments. UM. You know, they get a lot of press,

0:50:19.520 --> 0:50:22.280
<v Speaker 1>but they don't really remind people what happened. I remember

0:50:22.280 --> 0:50:24.319
<v Speaker 1>the wirelessing happening, but I don't remember what it was.

0:50:24.400 --> 0:50:26.239
<v Speaker 1>Can you just remind me? Yeah, I think we went

0:50:26.280 --> 0:50:29.920
<v Speaker 1>to um, we went to unlimited wireless plans, and I

0:50:29.960 --> 0:50:33.160
<v Speaker 1>think it's February March in two seventeen. So you know,

0:50:33.160 --> 0:50:36.080
<v Speaker 1>when we switched over from let's say you paid however much,

0:50:36.280 --> 0:50:39.040
<v Speaker 1>however much your bill was for a certain amount for

0:50:39.080 --> 0:50:41.879
<v Speaker 1>your phone. When we went to unlimited plans and you had,

0:50:41.960 --> 0:50:45.359
<v Speaker 1>you know, instead of having you know, time gigs and

0:50:45.400 --> 0:50:47.920
<v Speaker 1>you maybe you had thirty or whatever it was, they

0:50:47.960 --> 0:50:51.200
<v Speaker 1>had to find a way to price that out. And

0:50:51.440 --> 0:50:53.759
<v Speaker 1>that's where kind of the hedonic regressions came in, was

0:50:53.840 --> 0:50:57.440
<v Speaker 1>to say, you know, how much is this extra speed worth,

0:50:57.520 --> 0:51:00.359
<v Speaker 1>or how much is this extra memory worth? Um? How

0:51:00.440 --> 0:51:04.160
<v Speaker 1>much is extra data plan worth to the consumer. And

0:51:04.280 --> 0:51:06.640
<v Speaker 1>once they came up with those measurements, they applied them

0:51:06.640 --> 0:51:09.319
<v Speaker 1>and what it ended up leading to was about a

0:51:09.320 --> 0:51:13.040
<v Speaker 1>seven percent decline in the wireless index in a one month,

0:51:13.040 --> 0:51:17.560
<v Speaker 1>which is a record decline. And it's subtracted about almost

0:51:17.560 --> 0:51:19.440
<v Speaker 1>close to a tent just a bit over a tent

0:51:19.560 --> 0:51:23.120
<v Speaker 1>off of the monthly changing the core CPI, and you know,

0:51:23.200 --> 0:51:26.640
<v Speaker 1>that's a huge, huge number, got a lot of attention,

0:51:26.719 --> 0:51:29.239
<v Speaker 1>and so people start talking about hedonics again, and you

0:51:29.280 --> 0:51:31.319
<v Speaker 1>know that's where you know, the so called sort of

0:51:31.320 --> 0:51:33.560
<v Speaker 1>inflation truths come in. It's like, well, this is just

0:51:33.600 --> 0:51:36.799
<v Speaker 1>this arbitrary adjustment that they're making and so on. But

0:51:37.120 --> 0:51:38.600
<v Speaker 1>you know, this is the kind of stuff that goes

0:51:38.640 --> 0:51:41.359
<v Speaker 1>on in a pretty regular basis. Typically you just don't

0:51:41.400 --> 0:51:43.399
<v Speaker 1>see those kinds of moves. But for the most part,

0:51:43.440 --> 0:51:45.480
<v Speaker 1>these things are are pretty standard and not just for

0:51:45.560 --> 0:51:47.440
<v Speaker 1>by the way, not just for the BLS, but almost

0:51:47.480 --> 0:51:50.239
<v Speaker 1>for every statistical agency that does a cp I. At

0:51:50.239 --> 0:51:51.480
<v Speaker 1>the end of the day, the c p I is

0:51:51.800 --> 0:51:54.439
<v Speaker 1>you always want a price between you know, one month

0:51:54.440 --> 0:51:58.040
<v Speaker 1>and the prior month the same good, and if it's

0:51:58.120 --> 0:52:00.200
<v Speaker 1>changing in quality, you have to try to control all

0:52:00.640 --> 0:52:03.239
<v Speaker 1>for that quality. So these adjustments are happening, you know

0:52:03.400 --> 0:52:07.960
<v Speaker 1>Canadian cp I and your status so on. So it's

0:52:07.960 --> 0:52:12.600
<v Speaker 1>a pretty sort of time tested methodology that everyone uses

0:52:13.160 --> 0:52:16.719
<v Speaker 1>in all kinds of m consumer price and nexes. So

0:52:16.800 --> 0:52:18.880
<v Speaker 1>I just have one last question and it's sort of

0:52:18.960 --> 0:52:20.759
<v Speaker 1>big picture. But you know, in the very beginning you

0:52:20.840 --> 0:52:25.759
<v Speaker 1>talked about, Okay, different regimes, different times, different relationships might work.

0:52:25.840 --> 0:52:29.279
<v Speaker 1>Philip's curve thinking sometimes seems to be robust, sometimes not

0:52:29.480 --> 0:52:32.560
<v Speaker 1>so much. One of the things in the post crisis

0:52:32.640 --> 0:52:34.799
<v Speaker 1>period is people are asking, well, is this like a

0:52:34.800 --> 0:52:37.719
<v Speaker 1>new regime, like as this is the economy now just

0:52:37.760 --> 0:52:40.080
<v Speaker 1>going to be fundamentally different, maybe because of some sort

0:52:40.080 --> 0:52:43.279
<v Speaker 1>of change to international trade or something like that. Is

0:52:43.320 --> 0:52:45.640
<v Speaker 1>that something that you're on the lookout for or thinking

0:52:45.680 --> 0:52:48.840
<v Speaker 1>that maybe like even post virus, maybe we'll get something

0:52:49.040 --> 0:52:53.080
<v Speaker 1>resembling normalization, but that's something structurally might be a different

0:52:53.120 --> 0:52:57.160
<v Speaker 1>economy than we had pre crisis, thus forcing you know,

0:52:57.200 --> 0:52:59.800
<v Speaker 1>thus causing a sort of different way to think about

0:53:00.080 --> 0:53:04.120
<v Speaker 1>what might uh manifest inflation. Yes, I think let me

0:53:04.200 --> 0:53:05.799
<v Speaker 1>preface this by saying, you know, for the most part,

0:53:05.880 --> 0:53:08.520
<v Speaker 1>economists are really terrible at picking up like turning points

0:53:08.560 --> 0:53:11.520
<v Speaker 1>and you know, paradigm shifts and things of that nature,

0:53:12.120 --> 0:53:14.040
<v Speaker 1>which is why there's such a large literature on how

0:53:14.040 --> 0:53:16.319
<v Speaker 1>to forecast inflation. But yeah, I think one of the

0:53:16.360 --> 0:53:18.440
<v Speaker 1>things that you know, at least I'm on the lookout

0:53:18.440 --> 0:53:19.880
<v Speaker 1>for it, and I think others are as well. Is

0:53:20.200 --> 0:53:23.200
<v Speaker 1>to think about the idea of how all this sort

0:53:23.200 --> 0:53:25.759
<v Speaker 1>of disturbce and supply chains is potentially going to lead to,

0:53:25.800 --> 0:53:28.400
<v Speaker 1>let's say, on shoring. You know, we're talking about building

0:53:28.400 --> 0:53:32.680
<v Speaker 1>more semiconductor factories here in the US. We're talking about

0:53:32.680 --> 0:53:35.480
<v Speaker 1>having sort of you know, more of you know, manufacturing

0:53:36.000 --> 0:53:38.160
<v Speaker 1>in the US, And you know, what does that mean

0:53:38.239 --> 0:53:42.160
<v Speaker 1>for for inflation going forward? So that's that's potentially a

0:53:42.160 --> 0:53:43.960
<v Speaker 1>big paradigm shift that I think we need to be

0:53:44.000 --> 0:53:46.799
<v Speaker 1>on the lookout for. But is that going to be

0:53:46.840 --> 0:53:50.080
<v Speaker 1>a six, twelve, eighteen month thing. Uh, you know, I'm

0:53:50.080 --> 0:53:53.880
<v Speaker 1>pretty skeptical of that. To meet that is a much broader,

0:53:53.960 --> 0:53:56.160
<v Speaker 1>much sort of you know, longer tenure type of topic

0:53:56.640 --> 0:54:00.880
<v Speaker 1>um to think about, and you know, probably not something

0:54:00.920 --> 0:54:02.520
<v Speaker 1>that you're really going to be able to capture kind

0:54:02.520 --> 0:54:06.399
<v Speaker 1>of doing a bottom up type forecast. Omar Sharif, thank

0:54:06.400 --> 0:54:08.799
<v Speaker 1>you so much for coming on odd lots really appreciate it.

0:54:09.560 --> 0:54:12.920
<v Speaker 1>Thank you appreciate it. Thanks O Mary. That was fantastic.

0:54:13.560 --> 0:54:28.399
<v Speaker 1>Thanks Sorry, I really like that was great. I really

0:54:28.440 --> 0:54:31.879
<v Speaker 1>like talking to Amara. I feel like, at least right now,

0:54:32.440 --> 0:54:35.600
<v Speaker 1>it really feels like if you're not doing some sort

0:54:35.600 --> 0:54:39.080
<v Speaker 1>of bottoms up analysis where you're actually looking at the component.

0:54:39.400 --> 0:54:42.200
<v Speaker 1>There's probably like no hope to understanding what's going on

0:54:42.280 --> 0:54:45.400
<v Speaker 1>with inflation. Yeah, totally, especially since so much of it

0:54:45.400 --> 0:54:48.680
<v Speaker 1>seems to be driven by the reopening like not just

0:54:49.120 --> 0:54:52.520
<v Speaker 1>the reopening categories, but literally one or two or maybe

0:54:52.520 --> 0:54:55.640
<v Speaker 1>three reopening categories like a big chunk down to use

0:54:55.760 --> 0:55:01.040
<v Speaker 1>car prices, air affairs, um and hotels. I think. Yeah. Uh.

0:55:00.840 --> 0:55:03.400
<v Speaker 1>I also thought it was super interesting that, you know,

0:55:03.480 --> 0:55:05.719
<v Speaker 1>it's like that he sort of pushed back a little

0:55:05.719 --> 0:55:08.320
<v Speaker 1>bit about the so called like stories we tell about

0:55:08.360 --> 0:55:11.800
<v Speaker 1>even those categories, and so even though like, okay, we

0:55:11.800 --> 0:55:15.600
<v Speaker 1>can talk about semi conductors are shipping containers, but that actually,

0:55:15.719 --> 0:55:18.399
<v Speaker 1>per his view, you have to go even deeper and

0:55:18.480 --> 0:55:22.480
<v Speaker 1>just like really get to know index construction and really

0:55:22.480 --> 0:55:27.760
<v Speaker 1>no methodology and seasonality and to actually sort of do it.

0:55:27.800 --> 0:55:29.439
<v Speaker 1>Is not enough to just be able to like sort

0:55:29.440 --> 0:55:32.360
<v Speaker 1>of like tell some like bigger stories about the categories

0:55:32.360 --> 0:55:35.400
<v Speaker 1>that are really moving. Yeah. I'm very curious about the

0:55:35.400 --> 0:55:38.720
<v Speaker 1>seasonality portion of it. And I guess, like if everything

0:55:38.800 --> 0:55:42.279
<v Speaker 1>is so seasonal and predictable, why do people still get

0:55:42.280 --> 0:55:45.799
<v Speaker 1>it wrong occasionally? I guess it goes back to what

0:55:45.840 --> 0:55:48.719
<v Speaker 1>we started um the episode talking about, which is this

0:55:48.800 --> 0:55:53.440
<v Speaker 1>idea that you know, despite decades and decades of studying inflation,

0:55:53.680 --> 0:55:56.960
<v Speaker 1>it does feel like economists certainly struggle to look at

0:55:57.000 --> 0:56:00.799
<v Speaker 1>it as a whole. It's also interesting, Uh, by the way,

0:56:00.840 --> 0:56:03.560
<v Speaker 1>I really liked your question about mayonnaise inflation or the

0:56:03.840 --> 0:56:06.839
<v Speaker 1>sailor addressing category. But it is interesting that there were

0:56:06.840 --> 0:56:09.880
<v Speaker 1>like these categories that he like, you know, he he

0:56:09.920 --> 0:56:12.640
<v Speaker 1>expressed sort of like confidence about his ability to make

0:56:12.680 --> 0:56:14.640
<v Speaker 1>a forecast and then other runs. And I think he

0:56:14.680 --> 0:56:17.120
<v Speaker 1>said like air fairs, and you wouldn't necessarily think of

0:56:17.239 --> 0:56:20.680
<v Speaker 1>with air fares, because again, it seems like the numbers

0:56:20.680 --> 0:56:23.760
<v Speaker 1>are kind of transparent or there's like dozens of websites

0:56:23.840 --> 0:56:26.600
<v Speaker 1>that track airfairs. But it's interesting that they're like these

0:56:26.640 --> 0:56:29.520
<v Speaker 1>categories that like, you just can't quite crack. I have

0:56:29.560 --> 0:56:32.600
<v Speaker 1>a great book idea, So what if you, um, what

0:56:32.680 --> 0:56:36.440
<v Speaker 1>if you went through the like two hundred CPI components

0:56:36.800 --> 0:56:38.840
<v Speaker 1>and like for each one kind of told the story

0:56:38.840 --> 0:56:41.560
<v Speaker 1>of the industry and how prices are actually made and

0:56:41.600 --> 0:56:46.400
<v Speaker 1>how the BLS incorporates them. Yeah, best seller New York Times. No,

0:56:46.480 --> 0:56:48.719
<v Speaker 1>I think it's interesting. I've read a book one through

0:56:48.880 --> 0:56:53.080
<v Speaker 1>every ingredient of twinkies, and and that was that was fascinating.

0:56:53.160 --> 0:56:55.600
<v Speaker 1>There's something like a hundred ingredients in there. You could

0:56:55.600 --> 0:56:59.160
<v Speaker 1>do the same for CPI. No, Actually, on ironical, maybe

0:56:59.160 --> 0:57:02.360
<v Speaker 1>what about a a coffee table book like each picture

0:57:02.440 --> 0:57:04.719
<v Speaker 1>is like sort of like a really glossy photo, beautiful

0:57:04.760 --> 0:57:09.360
<v Speaker 1>photo of like mayonnaise picture or something like that, and

0:57:09.400 --> 0:57:12.360
<v Speaker 1>then a page on the left talking about how the

0:57:12.400 --> 0:57:16.960
<v Speaker 1>prices derived. Yeah, okay, literary agents and publishers hit us up,

0:57:17.040 --> 0:57:20.160
<v Speaker 1>We're ready to write it. Reach out. Let's leave it there.

0:57:20.280 --> 0:57:23.440
<v Speaker 1>All right, let's leave it there. This has been another

0:57:23.480 --> 0:57:26.400
<v Speaker 1>episode of the All Thoughts podcast. I'm Tracy Alloway. You

0:57:26.440 --> 0:57:29.400
<v Speaker 1>can follow me on Twitter at Tracy Alloway and I'm

0:57:29.480 --> 0:57:32.200
<v Speaker 1>Joe wisn't thought you could follow me on Twitter at

0:57:32.200 --> 0:57:35.760
<v Speaker 1>the Stalwart. Follow our guest Omar Sharif. His handle is

0:57:35.880 --> 0:57:40.360
<v Speaker 1>at f Cast of the Month. Follow our producer Laura Carlson.

0:57:40.480 --> 0:57:43.920
<v Speaker 1>She's at Laura M. Carlson. Follow the Bloomberg head of

0:57:43.960 --> 0:57:47.840
<v Speaker 1>podcast Francesca Levi at francesco Today, and check out all

0:57:47.880 --> 0:57:51.520
<v Speaker 1>of our podcasts at Bloomberg under the handle at podcasts.

0:57:51.680 --> 0:58:00.720
<v Speaker 1>Thanks for listening to