WEBVTT - Markets, The Fed, And Satellites

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside

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<v Speaker 1>my co host Matt Miller. Every business day we bring

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<v Speaker 1>you interviews from CEOs, market pros, and Bloomberg experts, along

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<v Speaker 1>with essential market moving news. Find the Bloomberg Markets podcast

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<v Speaker 1>called Apple Podcasts or wherever you listen to podcasts, and

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<v Speaker 1>at Bloomberg dot com slash podcast. Danielle di Martino booth,

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<v Speaker 1>let's get right to her. She's a CEO and chief

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<v Speaker 1>strategist for Quill Intelligence, also a former advisor at the

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<v Speaker 1>Federal Reserve Bank of Dallas. So, Danielle, thanks so much

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<v Speaker 1>for taking the time. I guess where I want to

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<v Speaker 1>start with is you know, during the press conference from

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<v Speaker 1>FED Chairman Pal there's obviously questions about potentially a recession

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<v Speaker 1>slowing growth, and he took a pretty aggressive tact and

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<v Speaker 1>pushing back on that narrative. What's your take? What do

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<v Speaker 1>you think he's trying to do well. I think he's

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<v Speaker 1>trying to do his job, which is to use FED

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<v Speaker 1>speak to its fullest and to induce confidence in the

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<v Speaker 1>markets and induced confidence among those who are listening to him,

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<v Speaker 1>to say we've got this under control. We're going to

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<v Speaker 1>be able to to navigate a soft landing. And of

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<v Speaker 1>course today we've heard that from from Governor Waller. We've

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<v Speaker 1>heard the month July in terms of when they're looking

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<v Speaker 1>at starting that balance sheet runoff. That would explain why

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<v Speaker 1>they used the phrase coming months. So clearly they think

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<v Speaker 1>that this spate of inflation that's induced by Russia invading

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<v Speaker 1>Ukraine is going to be short lived and possibly be

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<v Speaker 1>coming off the time we get towards the end of summer.

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<v Speaker 1>Was he doing his job last year, Danielle, Oh gosh, no, heavens, no, no, no, no, no.

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<v Speaker 1>You just saw first time homebuyers decreased. The National Association

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<v Speaker 1>of Realtors at Laurence June said that that a payment

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<v Speaker 1>in February was higher than it was a year earlier.

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<v Speaker 1>At a minimum, you could say, you know what, we'll

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<v Speaker 1>hold off on treasury run off, but we'll go ahead

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<v Speaker 1>and be responsible to homebuyers who cannot buy homes because

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<v Speaker 1>they're too expensive. Will be respond will and let those

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<v Speaker 1>mortgage backs start to run off by themselves before treasuries. So, Daniel,

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<v Speaker 1>what do you take of this new wrinkle. I guess

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<v Speaker 1>it's just from an economic perspective into the equation, which

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<v Speaker 1>is a hot shooting war in Eastern Europe. If I'm

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<v Speaker 1>the Federal Reserve, I've got inflation, I've got slowing growth.

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<v Speaker 1>Now I've got this geopolitical risk at how do you

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<v Speaker 1>think that factors into the Fed's calculus. Well, it should

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<v Speaker 1>obviously be a factor, right, This is a this is

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<v Speaker 1>a new idiosyncrasy that's going to affect confidence. Bank of

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<v Speaker 1>America has a their own proprietary confidence gauge. It fell

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<v Speaker 1>to the lowest in history in the week through March thirteenth.

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<v Speaker 1>So there's clearly a dent being made. And people are

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<v Speaker 1>watching the headlines and they're disturbing. I get that. But

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<v Speaker 1>the primary source of economic new news out of this

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<v Speaker 1>situation is that it's pushing inflation higher. And I think

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<v Speaker 1>that that's a greater offset and that they should look

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<v Speaker 1>at it through that lens. Because of the high starting

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<v Speaker 1>point of gasoline prices rising year over year in Intebrary

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<v Speaker 1>CPI yeah, if it's just filled up on the way

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<v Speaker 1>to work today for well over five dollars a gallon,

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<v Speaker 1>which I guess I should consider myself lucky. Because the

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<v Speaker 1>Germans are hoping for legislation that lowers their gas bills

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<v Speaker 1>to eight dollars a gallon. They feel like that should Well,

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<v Speaker 1>I get concerned when we start throwing around price fixing

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<v Speaker 1>because central bankers all talk to each other, So I

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<v Speaker 1>don't don't want anybody getting any ideas here in the

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<v Speaker 1>United States about price fixing. You can look back and

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<v Speaker 1>google Nixon and price fixing and see how that ended. No,

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<v Speaker 1>agree one percent. The thing is the price is already

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<v Speaker 1>fixed in Germany because like cent of what you pay

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<v Speaker 1>at the pump is taxes, you know, so all they

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<v Speaker 1>need to do is reduce some of that burden. And

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<v Speaker 1>I'm sure we have a similar, uh not nearly as bad,

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<v Speaker 1>but um similar tax burden here. What I was going

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<v Speaker 1>to ask about is um the growth, the slowing growth?

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<v Speaker 1>I guess is it the bigger concern. And it looks

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<v Speaker 1>like when you have a Moody shock, which we have had,

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<v Speaker 1>or when you have the fed um starting to raise rates,

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<v Speaker 1>which we have, or when you have yield curves invert,

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<v Speaker 1>which we saw yesterday. Um, these things all tend to

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<v Speaker 1>lead to recessions. Not necessarily you're gonna have a recession

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<v Speaker 1>after that, but you know, all three of them at once.

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<v Speaker 1>Do we have a recession next year. I'm not so sure.

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<v Speaker 1>My good friend Peter Jucchini said this morning that his

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<v Speaker 1>base cases is a recession in two based purely on

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<v Speaker 1>what he seen in the rapidity of the cycle compression.

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<v Speaker 1>We we got accustomed to ten years of expansion, and

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<v Speaker 1>now we're talking about things happening inside of a two

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<v Speaker 1>to three year vacuum. So there's no reason to go

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<v Speaker 1>by the old playbook that suggests that once we see

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<v Speaker 1>yield curves flirting with inversion, that it shouldn't be a

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<v Speaker 1>faster runway between that moment and when we go into

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<v Speaker 1>an actual contraction. And again, this is a byproduct of

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<v Speaker 1>the Fed waiting too long last year to take the

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<v Speaker 1>opportunity of beginning to normalize. Then were you surprised at all,

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<v Speaker 1>at Danielle, that they did not raised by fifty basis

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<v Speaker 1>points this week. I was not surprised at all that

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<v Speaker 1>that did not surprise me in the least. I was

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<v Speaker 1>shocked that they said in coming months about the balance sheet.

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<v Speaker 1>And I'm even more shocked because now that we have

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<v Speaker 1>Waller out on the wires, you know what was what's

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<v Speaker 1>being contemplated among those on the Federal Open Market Committee

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<v Speaker 1>and that right now appears to be July. So I

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<v Speaker 1>was expecting there to there to be an indication that

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<v Speaker 1>the balance sheet run up would start in May. And

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<v Speaker 1>even is it going to be eighty billion dollars a

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<v Speaker 1>month or a hundred billion dollars a month. Lorie Logan

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<v Speaker 1>of the New York Fed Markets Desk and John Williams,

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<v Speaker 1>the President of the New York Fits, they've been fairly

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<v Speaker 1>explicit in terms of where they saw that balance sheet

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<v Speaker 1>run up beginning, at what levels, and how aggressively they

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<v Speaker 1>would they would have it run, which would be more

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<v Speaker 1>aggressively than the last time they attempted this. And yet

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<v Speaker 1>they appeared to be extremely hesitant on this tack. And

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<v Speaker 1>that was what surprised me the most. Okay, Daniel D.

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<v Speaker 1>Martino Booth, we knew we'd get the clean skinny on

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<v Speaker 1>what's going on with our federal reserve. Daniel D. Martino Booth,

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<v Speaker 1>CEO and chief strategist A Quill Intelligence still concerned that

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<v Speaker 1>the photo Reserve is behind the curve here. Yeah, and

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<v Speaker 1>and the risk is that they get a little too

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<v Speaker 1>aggressive to try and catch up, and and that's what

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<v Speaker 1>could push you into It's unlikely they'll do that with

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<v Speaker 1>the balance sheet, right, I mean, remember when they wanted

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<v Speaker 1>to reduce the four trillion dollar balance sheet, which was

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<v Speaker 1>already i poppingly large. Um, just a couple of years later,

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<v Speaker 1>we're looking at nine trillions son nine times nine times

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<v Speaker 1>for those that get the reference. We've got some ECO

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<v Speaker 1>data out. Got the Leading Economic Indicator came out today

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<v Speaker 1>pretty decent. I'm gonna say I'm not you know, I

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<v Speaker 1>think our economy hanging in there, but let's get the details.

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<v Speaker 1>Automan Azoldrum, Senior director of Economic Research at the conference Board.

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<v Speaker 1>Ottoman talked to us about the Leading Economic Indicator data

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<v Speaker 1>that just came out this morning. Yeah, good morning to

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<v Speaker 1>be here. So, yes, the Leading Economic Index came out

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<v Speaker 1>this morning. It increased about zero point three percent in February.

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<v Speaker 1>That's reversing the revised decline from January, and overall, the

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<v Speaker 1>Leading Economic Index remains on a moderately rising trajectory, pointing

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<v Speaker 1>to continuing expansion for the US economy. So, after after

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<v Speaker 1>weathering the omicrond wave in the beginning of the year,

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<v Speaker 1>the US economy UM is in fairly good shape in

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<v Speaker 1>the first quarter. But what can you see about UM?

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<v Speaker 1>What's to come? Right? So there are some clouds in

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<v Speaker 1>the horizon UM. And we've been uh, you know, looking

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<v Speaker 1>at what inflation means for household budgets, UH, consumer spending.

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<v Speaker 1>We look at the volatility in stock prices UM and

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<v Speaker 1>one of the negative contributors this month was a building

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<v Speaker 1>permit spell and the housing construction sector is likely to

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<v Speaker 1>be negatively affected, you know, as the Fed continues to

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<v Speaker 1>raise rates for the rest of the year. So you know,

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<v Speaker 1>there are some clouds that will slow growth UM. And

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<v Speaker 1>we've seen that in you know, some of the UH

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<v Speaker 1>growth numbers getting revised for two UM. And unfortunately, on

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<v Speaker 1>top of that, we have the Russian invasion of Ukraine

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<v Speaker 1>that is creating made a major shock for the global economy. UH.

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<v Speaker 1>So it's it could also lower the trajectory and lower

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<v Speaker 1>growth rates further for two It's kind of where I

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<v Speaker 1>wanted to go Outoman. I think some folks are saying, hey,

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<v Speaker 1>when you put these rapid and significant rate increases along

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<v Speaker 1>with a shooting war in Europe, that might be enough

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<v Speaker 1>to push you know, some economies into a recession. Is

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<v Speaker 1>the R word in your vocabulary for the next year

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<v Speaker 1>or two? Uh not yet. So you know, the leading

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<v Speaker 1>economic indey is a gauge of recessions. It's used for

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<v Speaker 1>predicting recessions, and so far it hasn't been signaling anything

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<v Speaker 1>like that. And looking ahead, we have to watch that

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<v Speaker 1>very carefully. But the you know, underlying trend trajectory for

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<v Speaker 1>the US economy has been fairly healthy. UM and um.

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<v Speaker 1>You know, even though revising growth rates down to around

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<v Speaker 1>three percent for UM, we we are still looking at

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<v Speaker 1>pretty robust above average growth rates in terms of what

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<v Speaker 1>the Fed does here. Um. Do you get the idea

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<v Speaker 1>that this is hurting the leading indicators? Uh, it does

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<v Speaker 1>create a potential downward risk for many leading indicators as

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<v Speaker 1>well as for the economy. Of course, that's what we're

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<v Speaker 1>trying to measure here. UM. So as those rates start

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<v Speaker 1>to go up to find inflation, we're going to begin

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<v Speaker 1>to see the impact starting out, you know, spilling over

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<v Speaker 1>into mortgage rates and credit card rates, and those are

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<v Speaker 1>the channels or mechanisms that work to slow the economy

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<v Speaker 1>and attempt to control inflation. So, UM, we will begin

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<v Speaker 1>to see some of that. But compared to the negative

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<v Speaker 1>effect of uncontrolled inflation on consumers purchasing power, it's uh,

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<v Speaker 1>it's not de preferable. All right, olduman, thank you so

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<v Speaker 1>much for joining us and breaking down some of this

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<v Speaker 1>leading economic indicator data. Otoman also Drum, Senior director of

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<v Speaker 1>Economic Research at the Conference Board. All Right, Matt, here

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<v Speaker 1>you go. You go get your bachelor's of Science and

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<v Speaker 1>mechanical engineering from Berkeley, and then you cross the metaphorical

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<v Speaker 1>street and get your pH d in material science and

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<v Speaker 1>engineering from Stanford. Then what do you do? You go

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<v Speaker 1>to Wall Street. That's what our next guested Interesting Play

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<v Speaker 1>Anchor Crawford, Executive vice president portfolio manager, Fred Alger Asset

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<v Speaker 1>Management Anchored. Thanks so much for joining us. You appreciate

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<v Speaker 1>you taking the time. All right, you've got all these

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<v Speaker 1>engineering degrees. How do you apply that stuff to the markets? Actually,

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<v Speaker 1>I don't. Parents are saying, Oh my goodness, I know

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<v Speaker 1>that is actually what they said. But um, you know,

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<v Speaker 1>I think with engineering, all it is is pattern recognition.

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<v Speaker 1>At the end of the day, what we look for,

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<v Speaker 1>even as investors, is different patterns in the market, different

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<v Speaker 1>patterns and companies and stocks in the numbers. And so

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<v Speaker 1>you really take that learning as an engineer and I'm

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<v Speaker 1>able to apply it to the markets. What are you

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<v Speaker 1>seeing in those markets? Right now. What are the patterns

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<v Speaker 1>you're seeing, because boy, you've got a lot of cross

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<v Speaker 1>currents on there that you have a lot of bricks

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<v Speaker 1>in that wall of worry. Now you get to add

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<v Speaker 1>geopolitical risks. How are you viewing the market right now?

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<v Speaker 1>You know it is the market is actually quite fascinating

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<v Speaker 1>right now in um. You know, we the end of

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<v Speaker 1>COVID and the return of normalism and a return to

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<v Speaker 1>normalization of COVID, at least in the US. We have

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<v Speaker 1>this geopolitical risk that we haven't experienced in three generations. UM.

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<v Speaker 1>We have reverberations of all of these effects on the

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<v Speaker 1>supply chains causing inflation readings that we haven't seen in

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<v Speaker 1>four decades. UM. So there's a lot of different cross currents,

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<v Speaker 1>as you mentioned, in the market right now. However, what

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<v Speaker 1>we're focused on is really understanding what's getting baked in

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<v Speaker 1>and so we are very deep in the numbers for

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<v Speaker 1>each of the businesses that we own, and we we

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<v Speaker 1>probability weight the the effect of our recession for example,

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<v Speaker 1>and UM, well sorry, what was that? What what what's

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<v Speaker 1>your probability of recession? Oh, we don't, we don't. We

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<v Speaker 1>just probability weighted, so we say, if there's a five

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<v Speaker 1>percent probability of a recession, this is where we think

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<v Speaker 1>the bare case will be, or the numbers should go

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<v Speaker 1>to if there's um probability of a recession, and the

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<v Speaker 1>numbers will toggle down right, So we basically can tuggle

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<v Speaker 1>the probability of recession up and down in the numbers.

0:13:06.480 --> 0:13:09.600
<v Speaker 1>And what we found is that really there's some of

0:13:09.600 --> 0:13:12.800
<v Speaker 1>these businesses that we're looking at, especially in the growth sector,

0:13:13.200 --> 0:13:18.160
<v Speaker 1>that have gotten completely sold off over the last three months,

0:13:18.679 --> 0:13:21.199
<v Speaker 1>are trading at free cash flow yields even in a

0:13:21.200 --> 0:13:25.200
<v Speaker 1>more recessionary case, that are quite compelling, especially relative to

0:13:25.240 --> 0:13:27.720
<v Speaker 1>the cash flow yield of the S and P. So

0:13:27.960 --> 0:13:31.200
<v Speaker 1>it is interesting because the market is has very quickly

0:13:31.320 --> 0:13:35.160
<v Speaker 1>baked in a much higher probability of a recessionary case

0:13:35.160 --> 0:13:37.400
<v Speaker 1>scenario because of all these cross currents that we had

0:13:37.400 --> 0:13:40.160
<v Speaker 1>talked about. So, which companies do you think anchor do

0:13:40.280 --> 0:13:43.000
<v Speaker 1>well and even in a recession case, not saying that

0:13:43.040 --> 0:13:46.800
<v Speaker 1>we're having a recession, but if we do, where do

0:13:46.800 --> 0:13:50.680
<v Speaker 1>you want to be? So look, I think I think

0:13:50.679 --> 0:13:52.720
<v Speaker 1>the recession is going to at least in the US

0:13:52.960 --> 0:13:55.600
<v Speaker 1>if if we do have a recession, which I am.

0:13:55.640 --> 0:13:57.920
<v Speaker 1>I am very much on a fense about if we

0:13:58.040 --> 0:14:00.240
<v Speaker 1>see a recession in the US. In part, they because

0:14:00.240 --> 0:14:03.280
<v Speaker 1>the consumer is so incredibly resilient, they have two point

0:14:03.320 --> 0:14:06.439
<v Speaker 1>five trillion dollars of express savings that can be used

0:14:06.480 --> 0:14:09.520
<v Speaker 1>to thwart off the effects of a recession. UM they

0:14:09.520 --> 0:14:12.120
<v Speaker 1>have under leveraged balance sheets still that they can the

0:14:12.160 --> 0:14:16.120
<v Speaker 1>consumer can still lever up. However, if UM, you know,

0:14:16.160 --> 0:14:19.120
<v Speaker 1>there are several very interesting themes in the market right

0:14:19.160 --> 0:14:23.600
<v Speaker 1>now that have duration and have growth aspects that that

0:14:23.640 --> 0:14:26.920
<v Speaker 1>are almost uh not related to the economy and so

0:14:27.160 --> 0:14:29.120
<v Speaker 1>in in big tech, if you look at a company

0:14:29.160 --> 0:14:34.000
<v Speaker 1>like Microsoft, UM you know of that business is they

0:14:34.040 --> 0:14:37.080
<v Speaker 1>have visibility over the next year into the into the revenues,

0:14:37.160 --> 0:14:41.080
<v Speaker 1>and so you know, even in a recessionary case scenario,

0:14:41.160 --> 0:14:42.760
<v Speaker 1>the number is on the on the top and the

0:14:42.760 --> 0:14:44.880
<v Speaker 1>bottom line. I am not going to flex up and

0:14:44.920 --> 0:14:47.760
<v Speaker 1>down all that much, in part because they're really the

0:14:47.840 --> 0:14:52.000
<v Speaker 1>hub of this digital transformation and industrial revolution that we

0:14:52.040 --> 0:14:55.200
<v Speaker 1>are experiencing right now. UM. On the other hand, if

0:14:55.200 --> 0:14:57.400
<v Speaker 1>you look at consumer, we believe that the higher end

0:14:57.440 --> 0:15:01.880
<v Speaker 1>consumer will be also quite resilient and they have a

0:15:02.240 --> 0:15:05.240
<v Speaker 1>great wealth effect that they've experienced from both the market,

0:15:05.240 --> 0:15:07.680
<v Speaker 1>home prices both going up over the last few years,

0:15:08.280 --> 0:15:12.720
<v Speaker 1>and their businesses like Veil Mountain resorts that are trading

0:15:12.720 --> 0:15:14.760
<v Speaker 1>at five and six percent free cash full yields as

0:15:15.000 --> 0:15:17.760
<v Speaker 1>you look out a couple of years, and we think

0:15:17.800 --> 0:15:21.800
<v Speaker 1>that they will be relatively resilient through through UM a

0:15:21.920 --> 0:15:25.440
<v Speaker 1>slowdown in the economy. Anchor energy has had a nice

0:15:25.520 --> 0:15:27.840
<v Speaker 1>run here got oil north of a hundred dollars a

0:15:27.880 --> 0:15:32.040
<v Speaker 1>barrel w T I has that trade played out? Has

0:15:32.080 --> 0:15:33.960
<v Speaker 1>which trade played out? Kind of the energy trade just

0:15:34.040 --> 0:15:37.160
<v Speaker 1>kind of being long energy? You know what? I think?

0:15:37.920 --> 0:15:41.800
<v Speaker 1>I think we're not going back to energy and stock

0:15:41.880 --> 0:15:45.520
<v Speaker 1>prices where they were at thirty dollars of barrel um

0:15:45.560 --> 0:15:49.480
<v Speaker 1>in part because of like people are realizing that the

0:15:49.480 --> 0:15:54.640
<v Speaker 1>there's this very strategic aspect to oil and UM. But

0:15:54.800 --> 0:15:57.080
<v Speaker 1>has it played out? I think I think it has

0:15:57.400 --> 0:15:59.960
<v Speaker 1>and in part the global economies will start to slow

0:16:00.800 --> 0:16:03.960
<v Speaker 1>UM and demand for for oil will will decline and

0:16:04.040 --> 0:16:07.640
<v Speaker 1>so UM. You know, I do I do think that

0:16:07.680 --> 0:16:11.440
<v Speaker 1>it has mostly played out. That said, I do think

0:16:11.480 --> 0:16:16.280
<v Speaker 1>that oil stays higher for longer UM and maybe not

0:16:16.360 --> 0:16:19.320
<v Speaker 1>at one forty where it got to at its peak,

0:16:20.040 --> 0:16:22.360
<v Speaker 1>but could it could it stay at eighty bucks for

0:16:22.400 --> 0:16:24.840
<v Speaker 1>a long time it could. All right, uncle, thank you

0:16:24.880 --> 0:16:27.920
<v Speaker 1>so much for joining us. Really appreciate you taking the time.

0:16:27.920 --> 0:16:31.040
<v Speaker 1>And Court Crawford, e v P and portfolio manager for

0:16:31.040 --> 0:16:39.320
<v Speaker 1>Fred Alger Management. Let's talk space. Let's talk satellites. I

0:16:39.320 --> 0:16:41.400
<v Speaker 1>mean you can see basically what the satellites we have

0:16:41.440 --> 0:16:44.920
<v Speaker 1>in the air these days. You can see just about anything.

0:16:44.920 --> 0:16:47.680
<v Speaker 1>You can get a picture of just about anything. Peter Platts,

0:16:47.760 --> 0:16:51.840
<v Speaker 1>or CEO of Spire, joins us. Spire is a publicly

0:16:51.880 --> 0:16:54.800
<v Speaker 1>traded company went public via a spack it looks like

0:16:54.880 --> 0:17:00.160
<v Speaker 1>back in UM. Yeah, they offered twenty three million is

0:17:00.200 --> 0:17:02.440
<v Speaker 1>at ten dollars via my good friends of credits. Sweet.

0:17:02.560 --> 0:17:04.840
<v Speaker 1>All right, Peter, talk to us about Spire. Give us

0:17:04.840 --> 0:17:07.520
<v Speaker 1>the thirty second elevator pitch. What inspire? What are you

0:17:07.520 --> 0:17:11.560
<v Speaker 1>guys up to these days? Absolutely appitude. We are a

0:17:11.680 --> 0:17:15.800
<v Speaker 1>data and analytics company and we're leveraging space to solve

0:17:15.960 --> 0:17:20.080
<v Speaker 1>business and e s G challenges for companies, countries and

0:17:20.160 --> 0:17:24.320
<v Speaker 1>communities all across the world. We are We designed and

0:17:24.480 --> 0:17:28.840
<v Speaker 1>launched and owned and operate the world's largest radio frequency

0:17:28.880 --> 0:17:32.960
<v Speaker 1>based UM satellite constellation to observe the Earth. You know,

0:17:33.040 --> 0:17:36.760
<v Speaker 1>we track some seventeen trillion dollars of global trade, the

0:17:37.240 --> 0:17:41.120
<v Speaker 1>two trillion dollar aviation industry, and the weather all across

0:17:41.160 --> 0:17:45.560
<v Speaker 1>the globe, which you also predict up to ten days out. Um.

0:17:45.880 --> 0:17:47.679
<v Speaker 1>And as you as well know that whether it is

0:17:47.720 --> 0:17:50.679
<v Speaker 1>impacting you know, at least twenty five trillion of global

0:17:50.720 --> 0:17:54.600
<v Speaker 1>GDP in with climate change that is just getting more extreme,

0:17:54.680 --> 0:17:57.680
<v Speaker 1>you know, almost every single week. I want to say, um,

0:17:58.359 --> 0:18:06.080
<v Speaker 1>we serve do you watch this war? Yes, we do, UM.

0:18:06.320 --> 0:18:08.520
<v Speaker 1>And you know it is with data and insights from

0:18:08.600 --> 0:18:13.439
<v Speaker 1>space that the truth and transparency can be shed on

0:18:13.600 --> 0:18:15.920
<v Speaker 1>on such a global conflict. And I think we have

0:18:16.040 --> 0:18:19.879
<v Speaker 1>been witnessing this really firsthand um as it relates to

0:18:19.920 --> 0:18:23.280
<v Speaker 1>the situation in the Ukraine right now, UM, with with

0:18:23.359 --> 0:18:27.399
<v Speaker 1>commercial companies like a spire really bringing that data and

0:18:27.480 --> 0:18:31.520
<v Speaker 1>transparency to the world. UM. You know, our data has

0:18:31.560 --> 0:18:34.719
<v Speaker 1>been used by humanitarian efforts, you know, by the media

0:18:34.840 --> 0:18:38.960
<v Speaker 1>to bring that that knowledge and transparency as well as

0:18:38.960 --> 0:18:40.920
<v Speaker 1>some other areas as I'm sure you can you can

0:18:40.960 --> 0:18:46.440
<v Speaker 1>probably imagine and really being able to participate, um, helping

0:18:46.600 --> 0:18:50.640
<v Speaker 1>people and humanity in you know, this particular situation as

0:18:50.640 --> 0:18:54.520
<v Speaker 1>a European is uh, like I'm I'm from Austria is

0:18:54.520 --> 0:18:58.080
<v Speaker 1>something that is very very meaningful to me personally, so Peter.

0:18:58.280 --> 0:19:00.680
<v Speaker 1>The supply chain, global supply chains, but a big, big

0:19:00.720 --> 0:19:04.240
<v Speaker 1>issue for the world's economies. It's a global story. People

0:19:04.240 --> 0:19:06.000
<v Speaker 1>are always trying to figure out where are the ships,

0:19:06.040 --> 0:19:09.600
<v Speaker 1>where the trucks, where the trains? Um, how have you

0:19:09.680 --> 0:19:13.160
<v Speaker 1>kind of taken a look at that side of the business.

0:19:13.160 --> 0:19:15.400
<v Speaker 1>So supply chain is a is a very very nice

0:19:15.440 --> 0:19:19.800
<v Speaker 1>industry for us UM from a customer perspective. UM we

0:19:20.080 --> 0:19:23.680
<v Speaker 1>track all of the world ships, where they are, where

0:19:23.680 --> 0:19:26.240
<v Speaker 1>they're going, what they're doing, how fast they are, where

0:19:26.240 --> 0:19:29.800
<v Speaker 1>they will arrive, why they will arrive, as well as

0:19:30.359 --> 0:19:34.000
<v Speaker 1>the planes. And then as you imagine, once you are

0:19:34.119 --> 0:19:38.800
<v Speaker 1>on land and transportation happens in trucks, then whether it

0:19:38.880 --> 0:19:42.520
<v Speaker 1>has a massive impact on on potential disruptions there and

0:19:42.560 --> 0:19:45.560
<v Speaker 1>so everything from uh you know, the blocking of the

0:19:45.600 --> 0:19:48.560
<v Speaker 1>Suez Canal and the and the ripple effects all across

0:19:48.600 --> 0:19:51.399
<v Speaker 1>the world on the ports um to you know, just

0:19:51.440 --> 0:19:54.880
<v Speaker 1>today we put out a little story about the shutting

0:19:54.880 --> 0:19:57.560
<v Speaker 1>down of of Shenzen. You know, we have been able

0:19:57.640 --> 0:20:01.639
<v Speaker 1>to to monitor those activities and then help our customers,

0:20:01.960 --> 0:20:06.159
<v Speaker 1>uh preempt them and know what to do based on

0:20:06.240 --> 0:20:08.320
<v Speaker 1>what is happening and how they can get a bit

0:20:08.359 --> 0:20:11.320
<v Speaker 1>of a leg up in their own supply chain management,

0:20:11.680 --> 0:20:13.880
<v Speaker 1>and then their understanding of what is happening to their

0:20:13.920 --> 0:20:16.760
<v Speaker 1>own supply chain based on the data and analytics that

0:20:16.800 --> 0:20:21.720
<v Speaker 1>we can provide them. In terms of UM, your company,

0:20:21.800 --> 0:20:27.240
<v Speaker 1>your stock has come down pretty substantially over the last

0:20:27.720 --> 0:20:32.600
<v Speaker 1>I guess six months. What's going on there? You know, honestly,

0:20:32.640 --> 0:20:35.240
<v Speaker 1>if if if I could predict the understand the market

0:20:35.280 --> 0:20:38.199
<v Speaker 1>with great certainty, I'll probably spent more time in Vegas

0:20:38.200 --> 0:20:41.280
<v Speaker 1>and rather than helping our customers. But I think I

0:20:41.320 --> 0:20:43.600
<v Speaker 1>think there's there's probably a number of elements. You know.

0:20:43.680 --> 0:20:45.760
<v Speaker 1>One of them is certainly that we are in a

0:20:45.880 --> 0:20:49.879
<v Speaker 1>in a very very risk off environment. I spent I

0:20:49.960 --> 0:20:52.639
<v Speaker 1>spent ten years and LASS so there's a quantitative investment

0:20:52.680 --> 0:20:57.480
<v Speaker 1>manager UMH in longer term trading. And certainly when you

0:20:57.600 --> 0:21:02.880
<v Speaker 1>have situations like uh a geopolitical crisis in Europe, when

0:21:02.920 --> 0:21:06.480
<v Speaker 1>you have a situation like a pandemic UM but then

0:21:06.640 --> 0:21:09.679
<v Speaker 1>at risk of indust rates rising, UM, you know, you

0:21:09.760 --> 0:21:12.280
<v Speaker 1>have a you have a very risk off environment that

0:21:12.440 --> 0:21:16.960
<v Speaker 1>has been you know, very negative for high growth companies UM.

0:21:17.000 --> 0:21:19.480
<v Speaker 1>I think additionally you know, the the products that we

0:21:19.600 --> 0:21:23.680
<v Speaker 1>have serve industries that are vast and large, but they're

0:21:23.760 --> 0:21:26.640
<v Speaker 1>not you know, top of mind for people. I mean

0:21:26.680 --> 0:21:29.600
<v Speaker 1>you started off by talking about the pictures that you

0:21:29.600 --> 0:21:32.680
<v Speaker 1>can get from satellites, but the data that we do

0:21:32.800 --> 0:21:36.720
<v Speaker 1>that cover, for example, you know, four hundred billion dollar

0:21:37.040 --> 0:21:40.560
<v Speaker 1>fishing industry, that's just not as much top of mind,

0:21:41.000 --> 0:21:42.520
<v Speaker 1>and I think I need to do a better job

0:21:42.600 --> 0:21:45.360
<v Speaker 1>in bringing that to life with people. Well, and what's

0:21:45.400 --> 0:21:48.119
<v Speaker 1>the growth outlook, I mean, what kind of revenues are

0:21:48.119 --> 0:21:50.760
<v Speaker 1>you expecting, say this year, and and what the margins

0:21:50.760 --> 0:21:53.560
<v Speaker 1>look like. Yes, so we you know, we had a

0:21:54.520 --> 0:21:57.720
<v Speaker 1>very very strong finish to the year. We exceeded guidance

0:21:58.240 --> 0:22:01.560
<v Speaker 1>both on the UH hop line and bottom line elements

0:22:01.600 --> 0:22:04.080
<v Speaker 1>a region, the very top of it UM fourth quote

0:22:04.119 --> 0:22:07.000
<v Speaker 1>of revenue was fifteen million, up a hundred and six

0:22:07.040 --> 0:22:10.840
<v Speaker 1>percent year of a year UM. We reached seventy one

0:22:10.880 --> 0:22:14.320
<v Speaker 1>million almost of annually recurring revenue, which was in ninety

0:22:14.400 --> 0:22:17.800
<v Speaker 1>six percent year of a year increase. UM guidance for

0:22:17.880 --> 0:22:20.320
<v Speaker 1>this year on the revenue side is eighty five to

0:22:20.440 --> 0:22:22.879
<v Speaker 1>ninety million of revenue, which is a year of a

0:22:22.960 --> 0:22:26.560
<v Speaker 1>year growth rate of over a hundred percent at the midpoint,

0:22:26.960 --> 0:22:31.600
<v Speaker 1>so growth is really really phenomenal. Um, we see the

0:22:31.680 --> 0:22:35.440
<v Speaker 1>demand in every single one off our segments. We see

0:22:35.440 --> 0:22:38.560
<v Speaker 1>it in the h the maritime, the aviation, the weather,

0:22:38.920 --> 0:22:41.920
<v Speaker 1>as well as the space services segment, and we continue

0:22:41.960 --> 0:22:46.840
<v Speaker 1>to drive, you know, very very aggressively to profitability despite

0:22:47.000 --> 0:22:49.639
<v Speaker 1>that high growth rate. He Peter, thanks so much for

0:22:49.680 --> 0:22:52.560
<v Speaker 1>joining us. Really interesting company. Peter Platts or CEO of

0:22:52.680 --> 0:22:55.320
<v Speaker 1>Spire again that trades on the New York Sock Exchange

0:22:55.520 --> 0:23:01.320
<v Speaker 1>sp i R. Thanks for listening to the bloom Markets podcast.

0:23:01.720 --> 0:23:04.920
<v Speaker 1>You can subscribe and listen to interviews with Apple Podcasts

0:23:05.080 --> 0:23:08.960
<v Speaker 1>or whatever podcast platform you prefer. I'm Matt Miller. I'm

0:23:09.000 --> 0:23:13.200
<v Speaker 1>on Twitter at Matt Miller and on Fall Sweeney I'm

0:23:13.200 --> 0:23:15.840
<v Speaker 1>on Twitter at pt Sweeney. Before the podcast. You can

0:23:15.880 --> 0:23:18.120
<v Speaker 1>always catch us worldwide at Bloomberg Radio.