WEBVTT - Why Tom Lee Thinks We Could See S&P 15,000 by 2030

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>Hello and welcome to another episode of the Odd Lots Podcast.

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<v Speaker 2>I'm Tracy Alloway.

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<v Speaker 3>And I'm Joe.

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<v Speaker 4>Why isnt thal Joe?

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<v Speaker 2>Every once in a while, I think it's a good

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<v Speaker 2>idea to pause and consider everything that's happened in the

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<v Speaker 2>market and how it actually matched up to initial expectations,

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<v Speaker 2>because I think, you know, we're recording this on let's

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<v Speaker 2>see June eighteenth, s and P five hundred is at

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<v Speaker 2>another record. Meanwhile, ten year treasury yields are at what

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<v Speaker 2>like four point three percent now, and I think certainly

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<v Speaker 2>two years ago, maybe even a year ago, I don't

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<v Speaker 2>think anyone would have thought that stocks would rally this

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<v Speaker 2>much in a rising rate environm.

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<v Speaker 4>No, I mean, I think this has been you know,

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<v Speaker 4>the beginning the middle of twenty twenty. I'm starting to

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<v Speaker 4>lose track of the years. Parts of twenty twenty two,

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<v Speaker 4>obviously the stock market was total dead money, and going

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<v Speaker 4>into twenty twenty three, I think there was a lot

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<v Speaker 4>of pessimism recession, and that would have been like, well, yes,

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<v Speaker 4>this is what we expect when we get a rising

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<v Speaker 4>rate environment. Stocks go down, the economy slows maybe a

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<v Speaker 4>recession happens and then the market turned around, the economy

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<v Speaker 4>continued to boom. But it's not like they cut rates

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<v Speaker 4>or anything. And in fact, the main story has been

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<v Speaker 4>that rate cuts keep getting pushed further into the future

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<v Speaker 4>rate cut expectations.

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<v Speaker 3>Yeah.

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<v Speaker 2>Absolutely, But despite the record in the s and P

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<v Speaker 2>five hundred and all these you know, we keep talking

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<v Speaker 2>on the podcast about all the lines going up into

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<v Speaker 2>the right, and there are a lot of them at

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<v Speaker 2>the moment, there's some nervousness in the market right now.

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<v Speaker 2>I think that's fair to say. So you see a

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<v Speaker 2>lot of people, for instance, talking about the lack of

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<v Speaker 2>breadth in stocks.

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<v Speaker 3>Yeah.

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<v Speaker 4>Look, if you're in sa P five hundred index fund holder,

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<v Speaker 4>then there's a lot of conversations you just turn out

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<v Speaker 4>someone's like, oh, there's lack of breadth. It's like, yeah, whatever, man,

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<v Speaker 4>my ETF is up fifteen percent through the year.

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<v Speaker 3>I'm happy with that.

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<v Speaker 4>You know, like that's pretty great no matter what. But

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<v Speaker 4>if you're an active manager, you want to beat the index.

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<v Speaker 4>If you're worried about like durability, you might notice the

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<v Speaker 4>fact that, like you know, if you strip out a

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<v Speaker 4>few really big tech stocks like Nvidia and a few

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<v Speaker 4>others returns are much worse, and so that raises all

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<v Speaker 4>kinds of anxiety. Is this entire thing just sort of

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<v Speaker 4>hanging on analysts demand for chips to run AI models?

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<v Speaker 5>Absolutely?

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<v Speaker 2>So today I am pleased to say we do indeed

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<v Speaker 2>have the perfect guest. You know, I said in the

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<v Speaker 2>intro that almost no one would have expected stocks to

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<v Speaker 2>be where they are. This person did expect stocks to

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<v Speaker 2>be where they are currently. This person is one of

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<v Speaker 2>the few that I can think of that has basically

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<v Speaker 2>called a lot of the market right over the past

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<v Speaker 2>year or two.

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<v Speaker 3>Probably someone we should talk to.

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<v Speaker 2>Yes, absolutely so we are going to be speaking with

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<v Speaker 2>Tom Lee. He is, of course, the co founder and

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<v Speaker 2>head of research at Funstrat Global Advisors and FS Insight. Tom,

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<v Speaker 2>welcome to the show.

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<v Speaker 5>Thank you very much.

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<v Speaker 1>So.

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<v Speaker 2>I know you're sometimes described as an uber bowl. Is

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<v Speaker 2>that a fair a fair characterization of how you feel

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<v Speaker 2>about markets?

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<v Speaker 5>I think that label is not reflective of how I

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<v Speaker 5>feel about markets. I think that label is generally used

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<v Speaker 5>by perma bears who've been perma wrong, and it's a

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<v Speaker 5>cheap shot.

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<v Speaker 4>Taken, Okay, but I get that it sounds like a

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<v Speaker 4>cheap shot. But on the other hand, uber bowls or

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<v Speaker 4>permables historically have like one hundred years of lines going

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<v Speaker 4>open to the right on their side.

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<v Speaker 3>So my view when I hear someone being.

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<v Speaker 4>Described as a permeable is, oh, this is someone who,

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<v Speaker 4>except for like five minutes here and there in twenty twenty,

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<v Speaker 4>in two thousand and nine, is permacorrect.

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<v Speaker 3>Yeah, i'd say so.

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<v Speaker 5>I think people don't live in those longer time frames,

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<v Speaker 5>you know. In the day to day. People live as

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<v Speaker 5>if this is a street battle, and the label uber

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<v Speaker 5>BWL is like someone well, you know what, he might

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<v Speaker 5>lead us out, but I don't trust him because we're

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<v Speaker 5>in a street fight. And so it's generally I find

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<v Speaker 5>people saying it more as a cheap show.

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<v Speaker 4>No, the people who say it are all really obnoxious.

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<v Speaker 4>That I agree.

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<v Speaker 2>I didn't mean to be obnoxious. Wait did you just

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<v Speaker 2>call me obnoxious?

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<v Speaker 4>No, you described when you said it, you were characterizing

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<v Speaker 4>other people.

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<v Speaker 5>Yes, well, I feel like we should give people the offense.

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<v Speaker 2>Okay, excellent. I feel like we should give people the

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<v Speaker 2>opportunity to describe their own work. But why don't we

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<v Speaker 2>talk about something concrete, which is at the beginning of

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<v Speaker 2>this month, Tom, you at Funstrat put on an S

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<v Speaker 2>and P five hundred target of five thousand, five hundred,

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<v Speaker 2>we're at about five thousand, four hundred seventy five or

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<v Speaker 2>something like that right now. So just in that short

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<v Speaker 2>time frame, you know, called it correctly.

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<v Speaker 5>What did you did?

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<v Speaker 4>You see?

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<v Speaker 5>This is actually a textbook rally. At the start of

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<v Speaker 5>this month, we alerted our clients that since nineteen twenty seven,

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<v Speaker 5>when you look at the start of June, but markets

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<v Speaker 5>were up in the first quarter, but then had a

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<v Speaker 5>draw down in April, which is what we had. Yeah,

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<v Speaker 5>that happened eleven times. Eleven of eleven times, June was

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<v Speaker 5>a positive month. So May is essentially a recovery month,

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<v Speaker 5>and then June is the month where markets go back

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<v Speaker 5>to risk on. The median gain since nineteen twenty seven

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<v Speaker 5>is three point nine percent, which calculated a fifty five hundred.

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<v Speaker 4>There you go, simple math investing made easy, but zooming out.

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<v Speaker 4>You're a fun strat for years prior to that, you're

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<v Speaker 4>a JP Morgan I was a big fan of your

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<v Speaker 4>org then correctly calling for much higher stock prices through

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<v Speaker 4>much of the twenty tens, when you know there were

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<v Speaker 4>still a lot of people calling for double dips in

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<v Speaker 4>the sort of raw of a pretty large, bearish contingent.

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<v Speaker 3>How do you work? What do you do?

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<v Speaker 4>Because there are all different approaches that people have towards,

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<v Speaker 4>you know, making educated guests as to where the stock

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<v Speaker 4>market could go. How would you describe your approach?

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<v Speaker 5>Well, fundamental to our process is evidence based research, so

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<v Speaker 5>you know, at the core we really try to frame

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<v Speaker 5>where history could explain where we are today. Okay, we

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<v Speaker 5>rely on a lot of cross market signal, so to us,

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<v Speaker 5>the bond market is always smarter than the stock market.

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<v Speaker 5>That's why they say equities are the land to sea students.

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<v Speaker 5>And the third is, of course monetary policy is really

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<v Speaker 5>the driver, so you can't fight the FED. And then

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<v Speaker 5>I think the fourth is that thematic approaches surpass cyclical

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<v Speaker 5>What does that mean? Well, part of our work relies

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<v Speaker 5>on what we call like thematic drivers. One is millennials.

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<v Speaker 5>Ok so that since twenty eighteen we've talked about how millennials,

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<v Speaker 5>which is the largest generation, are reshaping the economy, which

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<v Speaker 5>they are mainly through fintech and changes in preference. But

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<v Speaker 5>of course now coming is a big generational wealth transfer

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<v Speaker 5>of you know, as much as eighty trillion dollars. The second,

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<v Speaker 5>of course, is that there is a huge global labor

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<v Speaker 5>shortage which has started in twenty fifteen and won't be

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<v Speaker 5>resolved till twenty thirty five. And the two previous instances

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<v Speaker 5>of global labor shortage resulted in a parabolic movement technology stocks,

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<v Speaker 5>which has been part of our themetic approach, and now

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<v Speaker 5>we see two other things like energy security and cybersecurity

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<v Speaker 5>are huge thematic drivers, especially because of AI, and so

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<v Speaker 5>this grounds our work. We not only use it to

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<v Speaker 5>judge markets, but we use it to build our Granny

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<v Speaker 5>Shots Core Stock portfolio, which is a thematic portfolio fixed

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<v Speaker 5>the strongest stocks within each theme, and that has outperformed

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<v Speaker 5>every year twenty nineteen.

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<v Speaker 2>I'm trying to think how to phrase this question, but

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<v Speaker 2>what do the strong themes mean for the overall market?

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<v Speaker 2>Because I think everyone would agree that stuff like AI

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<v Speaker 2>is interesting and promising, maybe a little overhyped at this point,

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<v Speaker 2>but you could make the argument that there is potential there.

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<v Speaker 2>And yet you know, we've seen the S and P

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<v Speaker 2>five hundred as a whole go up, and there is

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<v Speaker 2>that argument over breadth, like how much of this is

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<v Speaker 2>purely AI? And the stuff that people are getting excited

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<v Speaker 2>about versus general optimism about the market.

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<v Speaker 5>Well, I mean, if I look at the stock market,

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<v Speaker 5>I think it is playing out with all the things

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<v Speaker 5>you just mentioned, because the groups that are affected by

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<v Speaker 5>high and tight monetary policy have really lagged, whether it's

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<v Speaker 5>the regional banks or industrial multiples are being suppressed. And

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<v Speaker 5>we know that the spend and actually now some of

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<v Speaker 5>the synergy coming from AI is driving not only the

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<v Speaker 5>producers of AI like and some of the software companies,

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<v Speaker 5>but in many of the companies that are levering leveraging

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<v Speaker 5>this for revenue growth. So I think it is playing out.

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<v Speaker 5>But overall, I think it's on balance a healthy economy

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<v Speaker 5>because companies are generating good earnings growth, and the labor

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<v Speaker 5>market has come back into balance, and consumers aren't highly levered,

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<v Speaker 5>which is really the big deal because to me, when

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<v Speaker 5>consumers can't borrow more money because they borrow too much,

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<v Speaker 5>that's really when the economy hits the tipping point.

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<v Speaker 4>When it comes to consumer balance sheets. Just on this,

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<v Speaker 4>what do you look at when you say, Okay, the

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<v Speaker 4>consumer is not high levered. I alouls say discussions like oh,

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<v Speaker 4>excess savings gone.

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<v Speaker 2>People look at total credit card debt.

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<v Speaker 3>Yeah, what do you look at?

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<v Speaker 5>Well, I think the gold standard is still the debt

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<v Speaker 5>service ratio, which the Federal Reserve puts a lot of

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<v Speaker 5>time into and employs a lot of economists to build

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<v Speaker 5>a fair view. And the debt service ratio today is

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<v Speaker 5>still under ten percent, which you know, for instance, before

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<v Speaker 5>this decade, you'd be in a sort of peak consumer

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<v Speaker 5>borrowing at a fourteen to sixteen percent level, so consumers

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<v Speaker 5>can if interest rates don't move, they can borrow forty

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<v Speaker 5>percent more money. I think the cash say excess savings

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<v Speaker 5>is a spurious argument because I don't remember it in

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<v Speaker 5>my thirty years people saying consumer cycles turn when their

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<v Speaker 5>excess savings is gone. I mean, that's not really been

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<v Speaker 5>how the business cycle works.

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<v Speaker 2>You mentioned thirty year career just then, and I realized

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<v Speaker 2>I'm kind of unfamiliar with you other than at funstrat.

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<v Speaker 2>Can you maybe give us a recap of what you've

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<v Speaker 2>been doing for three decades?

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<v Speaker 5>Yes, I've essentially had the same job for my entire

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<v Speaker 5>post college career. I started off at Kidder Peabody in

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<v Speaker 5>the early nineties as.

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<v Speaker 3>One of my old bosses.

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<v Speaker 4>Was it Kidder Peabody, David wire No, No, someone else said, okay, sorry,

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<v Speaker 4>keep going.

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<v Speaker 3>Yeah.

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<v Speaker 5>I got into stock research at that time, and I

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<v Speaker 5>was working at the sector I was assigned was wireless.

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<v Speaker 5>So the first fourteen years of my career ARC was

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<v Speaker 5>as a technology analyst covering the wireless industry, which again

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<v Speaker 5>for my clients, many of which I still have from

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<v Speaker 5>those days. No, I'm not an uber buwl because there

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<v Speaker 5>were many times I had cell ratings on stocks. But

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<v Speaker 5>it's not fun to be telling people the shortest stock

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<v Speaker 5>that they own. That's when they're very angry. And then

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<v Speaker 5>in the two thousands, wireless was consolidating and I wanted

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<v Speaker 5>to find some other things to do, so I started

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<v Speaker 5>to do some work on bankruptcy bankrupt stocks because many

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<v Speaker 5>wireless stocks from bankrupt I did a whole piece called

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<v Speaker 5>the Chapter after Chapter eleven where I looked at over

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<v Speaker 5>two thousand publicly listed bankruptcies. I used our Mumbai team

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<v Speaker 5>at the time, we called it Momba team at JP Morgan,

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<v Speaker 5>and we went through all these filings and we found

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<v Speaker 5>that stocks that emerged from bankruptcy do well. So we

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<v Speaker 5>had a whole strategy around buying bankruptcy stocks and then

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<v Speaker 5>JP Morgan asked me at the time if I wanted

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<v Speaker 5>to become the small cap strategist on top of wireless,

0:12:03.679 --> 0:12:07.359
<v Speaker 5>so I had two jobs. I ranked in both categories,

0:12:07.559 --> 0:12:10.040
<v Speaker 5>and then in seven they asked me if I wanted

0:12:10.080 --> 0:12:12.280
<v Speaker 5>to become the chief equity strategists, which I've been doing

0:12:12.280 --> 0:12:17.040
<v Speaker 5>ever since and started fundstret twenty fourteen. So this is

0:12:17.080 --> 0:12:17.840
<v Speaker 5>our tenth year.

0:12:17.960 --> 0:12:18.560
<v Speaker 3>O congraguate.

0:12:18.640 --> 0:12:24.000
<v Speaker 2>Congratulations. Okay, So, given your history with the wireless companies

0:12:24.080 --> 0:12:26.600
<v Speaker 2>and technology overall, I feel like I have to ask

0:12:26.640 --> 0:12:31.160
<v Speaker 2>you about AI and Nvidia and all of that. Is

0:12:31.200 --> 0:12:35.720
<v Speaker 2>there any common thread or any valid comparison between the

0:12:35.800 --> 0:12:39.920
<v Speaker 2>AI boom that's happening right now and say, the Internet

0:12:39.960 --> 0:12:43.000
<v Speaker 2>bubble of the late nineteen nineties and early two thousands.

0:12:43.520 --> 0:12:46.480
<v Speaker 5>There are a lot of parallels. When I started doing wireless,

0:12:46.480 --> 0:12:50.360
<v Speaker 5>there were thirty four million cell phones. Today there's seven billion.

0:12:51.120 --> 0:12:54.440
<v Speaker 5>So it's a hypergrowth industry that grew almost in parallel

0:12:54.440 --> 0:12:57.600
<v Speaker 5>with Internet because without mobile you wouldn't really have the

0:12:57.600 --> 0:13:02.360
<v Speaker 5>Internet that we have today in the early stages of

0:13:02.400 --> 0:13:06.320
<v Speaker 5>that growth. So when you look at penetration, Wall Street

0:13:06.440 --> 0:13:11.000
<v Speaker 5>always underestimates the importance of the technology, and part of

0:13:11.040 --> 0:13:15.520
<v Speaker 5>it has to do with it's a generational lens. Every

0:13:15.559 --> 0:13:18.480
<v Speaker 5>new technology is adopted by a young cohort, people in

0:13:18.520 --> 0:13:22.040
<v Speaker 5>their twenties, teens, or even thirties, but most people on

0:13:22.080 --> 0:13:24.200
<v Speaker 5>Wall Street are in their forties or fifties, so they're

0:13:24.240 --> 0:13:29.480
<v Speaker 5>one generation removed. I remembered when our PC Analystic Kidder said,

0:13:29.640 --> 0:13:31.640
<v Speaker 5>why would you have one computer per household or even

0:13:31.640 --> 0:13:33.720
<v Speaker 5>more than that, because they're twenty five hundred dollars. And

0:13:33.800 --> 0:13:37.400
<v Speaker 5>I know when cell phones first emerge, people thought it

0:13:37.440 --> 0:13:39.360
<v Speaker 5>was a yuppie toy and it was going to be

0:13:39.840 --> 0:13:42.520
<v Speaker 5>only for people make seventy five thousand a year. But

0:13:43.160 --> 0:13:46.760
<v Speaker 5>what I learned as a Wilds analyst was teenagers and

0:13:46.840 --> 0:13:49.360
<v Speaker 5>young kids, especially in Europe, were using cell phones. So

0:13:49.480 --> 0:13:52.480
<v Speaker 5>I used a vintage model saying that if one hundred

0:13:52.520 --> 0:13:55.080
<v Speaker 5>percent of like teenagers have a cell phone by the

0:13:55.080 --> 0:13:58.679
<v Speaker 5>time they're sixty, the penetration rate should be whatever it is,

0:13:59.400 --> 0:14:03.200
<v Speaker 5>that's AI. The adoption rate for AI is staggering, but

0:14:03.480 --> 0:14:06.359
<v Speaker 5>the use case is important because there's a labor shortage.

0:14:06.840 --> 0:14:10.439
<v Speaker 5>So to me, I think it's very likely we're underestimating

0:14:11.360 --> 0:14:14.120
<v Speaker 5>how much revenue all these companies will make. I can

0:14:14.120 --> 0:14:17.960
<v Speaker 5>give you some simple math. Yeah, please, the global labor

0:14:17.960 --> 0:14:20.240
<v Speaker 5>shortage by the end of this just by the end

0:14:20.240 --> 0:14:24.200
<v Speaker 5>of this decade is close to forty million worker equivalents,

0:14:24.680 --> 0:14:29.440
<v Speaker 5>and that's three trillion of wages. Okay, we're turning labor

0:14:29.480 --> 0:14:33.320
<v Speaker 5>cost into silicon a center or into tech automation, of

0:14:33.360 --> 0:14:37.840
<v Speaker 5>which we know today eighty percent is hardware silicon. So

0:14:38.920 --> 0:14:42.200
<v Speaker 5>does that mean whoever supplying the chips might have a

0:14:42.200 --> 0:14:47.680
<v Speaker 5>two trillion revenue probably, and right now the largest share

0:14:47.720 --> 0:14:49.760
<v Speaker 5>of that would go to a company like in Vidia.

0:14:49.920 --> 0:14:52.240
<v Speaker 5>So if in Video is one hundred billion in revenues,

0:14:52.280 --> 0:14:54.400
<v Speaker 5>now you know what does by the end of this decade,

0:14:54.400 --> 0:14:57.040
<v Speaker 5>is it it's eight hundred billion of trillion dollar revenue company?

0:14:57.080 --> 0:15:00.280
<v Speaker 5>And then what should we discount that rate at I'd

0:15:00.280 --> 0:15:16.200
<v Speaker 5>say there's probably a lot of upside.

0:15:18.120 --> 0:15:22.080
<v Speaker 4>So that's sort of the argument from the fundamentals perspective.

0:15:22.360 --> 0:15:25.680
<v Speaker 4>The other thing people like to do is they like

0:15:25.760 --> 0:15:30.000
<v Speaker 4>to draw these dual axis lines where they're like, here's

0:15:30.040 --> 0:15:33.160
<v Speaker 4>the chart of Nvidia starting at some arbitrary date, here's

0:15:33.200 --> 0:15:36.440
<v Speaker 4>the start of Cisco starting at some arbitrary date, and

0:15:36.480 --> 0:15:38.640
<v Speaker 4>then they line up the peak so that the peak

0:15:38.720 --> 0:15:42.280
<v Speaker 4>always happens to be right now. But regardless of the

0:15:42.320 --> 0:15:47.240
<v Speaker 4>fact that that's, you know, largely what naves and scammers do,

0:15:47.760 --> 0:15:51.560
<v Speaker 4>it is true that just from an overall index perspective,

0:15:51.600 --> 0:15:55.040
<v Speaker 4>there is an incredible lot riding on a handful of

0:15:55.080 --> 0:15:58.840
<v Speaker 4>companies right now, whether it's in Vidia specifically, the mag

0:15:58.960 --> 0:16:02.760
<v Speaker 4>seven more broadly, and that you know, in nineteen ninety

0:16:02.840 --> 0:16:05.600
<v Speaker 4>nine there was just an incredible weight on Cisco and

0:16:05.640 --> 0:16:09.080
<v Speaker 4>Sun Microsystems and Microsoft and a couple of others. Do

0:16:09.120 --> 0:16:11.280
<v Speaker 4>you see any parallels in the market environment.

0:16:11.720 --> 0:16:14.720
<v Speaker 5>Yes, there's a lot of parallels, but there are some differences.

0:16:14.760 --> 0:16:17.080
<v Speaker 5>You know, keep mind Cisco sold a one hundred dollars

0:16:17.080 --> 0:16:20.040
<v Speaker 5>box in video selling at fifty thousand dollars chips, so

0:16:21.000 --> 0:16:24.680
<v Speaker 5>the moat around that is much much greater. I also

0:16:24.800 --> 0:16:28.640
<v Speaker 5>think to contextualize this, we need to look at the

0:16:28.640 --> 0:16:34.760
<v Speaker 5>global economy. If we're turning labor cost into silicon, then

0:16:35.240 --> 0:16:40.280
<v Speaker 5>which countries are really the primary suppliers of technology? The US,

0:16:40.480 --> 0:16:43.560
<v Speaker 5>by a country mile is the only supplier. So the

0:16:43.680 --> 0:16:48.760
<v Speaker 5>US is essentially exporting technology now. And that's different because

0:16:48.800 --> 0:16:51.960
<v Speaker 5>Internet was more democratized, people just put up towers and

0:16:52.000 --> 0:16:54.960
<v Speaker 5>laid fiber. You can't, you know, create your own version

0:16:55.000 --> 0:16:57.400
<v Speaker 5>of an Invidia chip you have to buy from video.

0:16:58.160 --> 0:16:59.600
<v Speaker 3>So I think that.

0:17:01.080 --> 0:17:05.239
<v Speaker 5>Tech will probably be, you know, forty fifty percent of

0:17:05.280 --> 0:17:09.760
<v Speaker 5>the global stock market weight where we know that's probably twenty.

0:17:10.119 --> 0:17:12.760
<v Speaker 5>Oh wow, it's probably like eighteen. I mean, you know

0:17:12.800 --> 0:17:14.280
<v Speaker 5>in the US it's only forty.

0:17:14.000 --> 0:17:17.480
<v Speaker 4>And what in the US it's forty. Globally it's eighteen.

0:17:17.600 --> 0:17:19.320
<v Speaker 4>And you say it's going to go to forty to

0:17:19.359 --> 0:17:20.800
<v Speaker 4>fifty percent globally.

0:17:20.520 --> 0:17:24.880
<v Speaker 5>Yes, because you're replacing recurring labor costs with the capital investment.

0:17:25.160 --> 0:17:30.359
<v Speaker 2>Interesting, so you mentioned the net present value of tech

0:17:30.440 --> 0:17:34.439
<v Speaker 2>stocks just then, and I'm curious talk to us about rates,

0:17:34.680 --> 0:17:37.600
<v Speaker 2>the higher interest rate environment and what it means for

0:17:37.680 --> 0:17:40.920
<v Speaker 2>stock valuation, because I think this is where people are

0:17:41.080 --> 0:17:44.080
<v Speaker 2>either a little bit surprised or perhaps a little bit

0:17:44.160 --> 0:17:47.359
<v Speaker 2>nervous the idea that even in the higher rate environment,

0:17:47.880 --> 0:17:49.600
<v Speaker 2>stocks can move upwards.

0:17:50.960 --> 0:17:51.280
<v Speaker 3>Yeah.

0:17:51.359 --> 0:17:53.960
<v Speaker 5>Well, again, I can cite some history and then maybe

0:17:54.040 --> 0:17:58.600
<v Speaker 5>provide some context. Please, Since nineteen thirty five, when you

0:17:58.640 --> 0:18:03.399
<v Speaker 5>look at the relationationship between the tenure yield and ford PE,

0:18:03.920 --> 0:18:08.520
<v Speaker 5>it is not linear. It is a dynamic relationship, and

0:18:08.720 --> 0:18:13.359
<v Speaker 5>between four and seven percent it is positively correlated. So

0:18:13.520 --> 0:18:18.720
<v Speaker 5>when interest rates go up, pe rises. Logically, it sort

0:18:18.720 --> 0:18:21.000
<v Speaker 5>of makes sense because you're seeing it now. When you

0:18:21.040 --> 0:18:23.880
<v Speaker 5>have higher rates, it's barriers to entry. So the existing

0:18:23.880 --> 0:18:27.159
<v Speaker 5>companies make more money, and companies earn money on their cash,

0:18:27.560 --> 0:18:30.399
<v Speaker 5>so the unlevered companies are actually you know, for Apple,

0:18:30.440 --> 0:18:32.879
<v Speaker 5>it's like six seven eight dollars in earnings, right, it's

0:18:32.920 --> 0:18:37.080
<v Speaker 5>some big number. Actually with splits its lower and between

0:18:37.119 --> 0:18:41.080
<v Speaker 5>four and five percent. The median Ford PE has been

0:18:41.320 --> 0:18:44.880
<v Speaker 5>eighteen and a half and forty eight percent of the time.

0:18:44.960 --> 0:18:46.199
<v Speaker 5>It's actually above twenty.

0:18:46.880 --> 0:18:49.680
<v Speaker 4>Anyway, what is it what says inp trading at now?

0:18:49.760 --> 0:18:53.480
<v Speaker 5>Well, then the pe, the Ford PE is probably around eighteen, okay,

0:18:54.000 --> 0:18:56.879
<v Speaker 5>but the median Ford pece sixteen.

0:18:57.880 --> 0:18:59.880
<v Speaker 4>What should we make of the fact that a lot

0:18:59.880 --> 0:19:03.520
<v Speaker 4>of the market is not doing well? So again, you know,

0:19:03.840 --> 0:19:06.160
<v Speaker 4>for those of us who are just like the boring

0:19:06.560 --> 0:19:09.600
<v Speaker 4>put it in an index fund investors, amazing year, But

0:19:09.640 --> 0:19:12.120
<v Speaker 4>there are big chunks of the market that doubts only

0:19:12.160 --> 0:19:14.600
<v Speaker 4>up two percent, I know, or something like that. What

0:19:14.600 --> 0:19:17.080
<v Speaker 4>should we read? Does it say anything that so much

0:19:17.080 --> 0:19:20.280
<v Speaker 4>of the market is doing pretty I guess mediocre this year.

0:19:21.040 --> 0:19:22.920
<v Speaker 5>I think it speaks to a lot of things. One

0:19:23.040 --> 0:19:25.360
<v Speaker 5>is the market is starved for cash, and there's six

0:19:25.440 --> 0:19:29.959
<v Speaker 5>trenty of cash on the sidelines. Finram margindet is like

0:19:30.119 --> 0:19:32.600
<v Speaker 5>twenty percent below where it was in October twenty twenty one,

0:19:33.200 --> 0:19:35.000
<v Speaker 5>So there isn't a lot of money slashing in the

0:19:35.000 --> 0:19:37.240
<v Speaker 5>stock market. I know, it's weird because we're at record highs,

0:19:37.960 --> 0:19:41.280
<v Speaker 5>so that if there is money actively trading, it's just

0:19:41.320 --> 0:19:44.600
<v Speaker 5>buying the high volume sectors, which is tech. From a

0:19:44.680 --> 0:19:47.520
<v Speaker 5>rates perspective, that and I kind of mentioned before, like

0:19:47.600 --> 0:19:51.160
<v Speaker 5>the groups that are hurt by type policy have really

0:19:51.200 --> 0:19:56.960
<v Speaker 5>been sucking wind. So I think if monetary policy eases

0:19:57.160 --> 0:20:00.760
<v Speaker 5>or people aren't more convinced of it than expansion is

0:20:00.800 --> 0:20:02.760
<v Speaker 5>going to be pretty fierce later this year.

0:20:03.280 --> 0:20:05.520
<v Speaker 2>What is your outlook for rates at this point? Because

0:20:05.520 --> 0:20:08.880
<v Speaker 2>you mentioned the strong consumer earlier, but on the other hand,

0:20:08.960 --> 0:20:11.800
<v Speaker 2>we have seen a little bit of weakening in the

0:20:11.880 --> 0:20:16.320
<v Speaker 2>labor market. We have seen CPI start to soften, although

0:20:16.320 --> 0:20:18.680
<v Speaker 2>there's a lot of debate over whether or not that's

0:20:18.680 --> 0:20:19.960
<v Speaker 2>going to be a durable trend.

0:20:20.280 --> 0:20:25.960
<v Speaker 5>But what are you see well, I think inflation, if

0:20:25.960 --> 0:20:29.000
<v Speaker 5>we looked at historically how people looked at inflation, whether

0:20:29.040 --> 0:20:34.840
<v Speaker 5>it's the surveys or ISM's inflation's under control because like

0:20:34.880 --> 0:20:39.080
<v Speaker 5>for instance, the ISM services manufacturing, the price is paid

0:20:39.119 --> 0:20:42.439
<v Speaker 5>component is below the long term average right now. So

0:20:42.480 --> 0:20:44.840
<v Speaker 5>at fifty seven, people think fifty sev means price going up.

0:20:44.880 --> 0:20:49.400
<v Speaker 5>That's not true. It's averaged like fifty eight since inception.

0:20:49.560 --> 0:20:53.040
<v Speaker 5>So actually price trends are below where they have been.

0:20:53.320 --> 0:20:57.040
<v Speaker 5>I think people aren't using history to understand where we

0:20:57.080 --> 0:21:01.320
<v Speaker 5>are now. And if you look at UMISH surveys, both

0:21:01.359 --> 0:21:03.760
<v Speaker 5>one year and five year inflation expectations are below the

0:21:03.760 --> 0:21:08.000
<v Speaker 5>long term average. So consumers and businesses in their perception

0:21:08.080 --> 0:21:12.720
<v Speaker 5>don't think there's inflation. CPI is elevated, but as you

0:21:12.760 --> 0:21:15.760
<v Speaker 5>guys know and talked about, and many economis point out,

0:21:15.840 --> 0:21:18.840
<v Speaker 5>it's really due to two components that are kind of

0:21:18.880 --> 0:21:22.359
<v Speaker 5>lagging right one's shelter and one is auto insurance. And

0:21:22.480 --> 0:21:27.639
<v Speaker 5>you know, the median CPI inflation rate right now is

0:21:27.680 --> 0:21:31.760
<v Speaker 5>one point four percent your year. It's long term average

0:21:31.800 --> 0:21:35.400
<v Speaker 5>is one six Everything except for housing and auto insurance

0:21:35.440 --> 0:21:36.240
<v Speaker 5>is below trend.

0:21:36.440 --> 0:21:39.440
<v Speaker 4>Median is when you just look at what each component

0:21:39.560 --> 0:21:41.520
<v Speaker 4>is doing, and some are higher and some are lower,

0:21:41.520 --> 0:21:42.920
<v Speaker 4>but the median category.

0:21:42.640 --> 0:21:45.639
<v Speaker 5>Yeah, there's one hundred thirty seven components. Another way to

0:21:45.680 --> 0:21:49.399
<v Speaker 5>look at it is what percentage of the basket of

0:21:49.520 --> 0:21:53.640
<v Speaker 5>CPI equal weight is below their long term year year

0:21:53.640 --> 0:21:56.080
<v Speaker 5>growth rate. So take each component and just say where

0:21:56.160 --> 0:22:00.240
<v Speaker 5>is it sit. It's now at fifty five percent fit

0:22:00.520 --> 0:22:02.840
<v Speaker 5>in the long term marriage is fifty. So more than

0:22:03.720 --> 0:22:06.320
<v Speaker 5>five fifty five percent of SLEEPEA components are below their

0:22:06.320 --> 0:22:09.320
<v Speaker 5>long term average, it's considered controlled. When it's fifty percent.

0:22:10.240 --> 0:22:13.679
<v Speaker 4>We're at fifty four to seventy three. Tracy mentioned your

0:22:13.760 --> 0:22:16.439
<v Speaker 4>June target. Do you have a year end target for

0:22:16.680 --> 0:22:18.679
<v Speaker 4>the market or a one year target or anything like

0:22:18.680 --> 0:22:19.800
<v Speaker 4>that one that like, where can we go?

0:22:20.240 --> 0:22:23.840
<v Speaker 5>Well, our current at the on the first week of

0:22:23.880 --> 0:22:28.760
<v Speaker 5>December twenty twenty three, we had said our target for

0:22:28.800 --> 0:22:31.520
<v Speaker 5>twenty twenty four was fifty two hundred, which at the

0:22:31.560 --> 0:22:35.440
<v Speaker 5>time was almost twenty percent upside. Now our fifty two

0:22:35.520 --> 0:22:39.800
<v Speaker 5>hundred is low because we're above that level. Yeah, we

0:22:39.960 --> 0:22:43.720
<v Speaker 5>haven't changed our target because our practice is typically to

0:22:43.760 --> 0:22:44.720
<v Speaker 5>do it at the mid year.

0:22:44.920 --> 0:22:48.119
<v Speaker 4>Okay, so we're two weeks away give it. Can you

0:22:48.119 --> 0:22:48.880
<v Speaker 4>give us a little hint?

0:22:49.080 --> 0:22:53.800
<v Speaker 5>Yeah, I'd say at the originally we said earnings could

0:22:53.800 --> 0:22:57.640
<v Speaker 5>be two seventy okay, and we'd put like an eighteen

0:22:57.720 --> 0:23:01.399
<v Speaker 5>multiple on that, and that's got to fifty two hundred

0:23:02.240 --> 0:23:05.560
<v Speaker 5>twenty twenty five earnings no longer look like two seventy,

0:23:05.600 --> 0:23:09.600
<v Speaker 5>looks more like two eighty five. And as I was citing,

0:23:09.720 --> 0:23:12.520
<v Speaker 5>is interest rates moved up, the PE should be higher.

0:23:12.560 --> 0:23:16.120
<v Speaker 5>So let's say twenty is a more appropriate PE multiple,

0:23:16.200 --> 0:23:20.040
<v Speaker 5>or even twenty one. Then you get into the fifty

0:23:20.760 --> 0:23:24.879
<v Speaker 5>eight one hundred ish level. But I think the open

0:23:24.960 --> 0:23:28.080
<v Speaker 5>question is, really, if you're in mid June and December

0:23:28.080 --> 0:23:32.320
<v Speaker 5>thirty one, is it a line up or is there

0:23:32.400 --> 0:23:36.679
<v Speaker 5>a pullback and then a lineup? And I'm I would

0:23:36.720 --> 0:23:41.720
<v Speaker 5>probably this is not evidence based, just an opinion. I

0:23:41.760 --> 0:23:42.560
<v Speaker 5>don't see why it would be.

0:23:42.600 --> 0:23:46.520
<v Speaker 2>Straight up, Here's something I always wanted to ask an

0:23:46.600 --> 0:23:50.080
<v Speaker 2>equity strategist. But when you're coming up with the price targets,

0:23:50.160 --> 0:23:54.280
<v Speaker 2>do the specific numbers actually matter for your clients or

0:23:54.440 --> 0:23:58.439
<v Speaker 2>are they mostly interested in the direction the overall direction,

0:23:58.600 --> 0:24:00.000
<v Speaker 2>like line go up, line down?

0:24:00.560 --> 0:24:03.520
<v Speaker 5>Well, it's a do you know this is a lifelong

0:24:03.680 --> 0:24:07.639
<v Speaker 5>debate because for thirty years I covered wireless stocks and

0:24:07.640 --> 0:24:12.040
<v Speaker 5>I had price targets, and our sales people would always say,

0:24:12.040 --> 0:24:13.800
<v Speaker 5>no one cares about your price target. But then the

0:24:13.840 --> 0:24:16.080
<v Speaker 5>first thing in the question meeting people, what do you

0:24:16.080 --> 0:24:17.879
<v Speaker 5>think where do you think this thing goes? So they

0:24:17.920 --> 0:24:22.399
<v Speaker 5>always care about the price target. I don't really value

0:24:22.440 --> 0:24:25.200
<v Speaker 5>people's price targets which is ten percent above where you

0:24:25.240 --> 0:24:28.679
<v Speaker 5>are now, because to me, that's just like that's like

0:24:28.720 --> 0:24:31.080
<v Speaker 5>staying in the middle of the lane, and you can't

0:24:31.119 --> 0:24:36.480
<v Speaker 5>make clients money. So whenever we did stock research, we

0:24:36.640 --> 0:24:38.840
<v Speaker 5>always had to build a base case on what we

0:24:38.880 --> 0:24:40.800
<v Speaker 5>think could happen and then discount it at what we

0:24:40.840 --> 0:24:43.800
<v Speaker 5>think is a reasonable rate. A lot of our price

0:24:43.800 --> 0:24:46.680
<v Speaker 5>targets seemed really crazy. When we did wireless, I remember

0:24:46.840 --> 0:24:50.960
<v Speaker 5>I upgraded you can timestamp but actually show you Almos

0:24:51.040 --> 0:24:53.080
<v Speaker 5>holdings at twenty one cents and it went to twenty

0:24:53.119 --> 0:24:56.600
<v Speaker 5>two dollars. My price target was not thirty cents. It

0:24:56.640 --> 0:24:59.399
<v Speaker 5>was twelve dollars at the time. And we upgraded Western

0:24:59.440 --> 0:25:03.200
<v Speaker 5>Wireless at a dollar seventy four. Our price target was

0:25:03.240 --> 0:25:05.480
<v Speaker 5>twenty five dollars and it ended up going to forty.

0:25:06.200 --> 0:25:09.840
<v Speaker 5>So I think we tried to look at a normalized

0:25:09.840 --> 0:25:14.080
<v Speaker 5>situation and in a normalized world, if this is a

0:25:14.119 --> 0:25:18.879
<v Speaker 5>normal SMP cycle, Okay, following demographics, I could provide a

0:25:18.960 --> 0:25:23.520
<v Speaker 5>chart later SMP should be potentially fifteen thousand by the

0:25:23.600 --> 0:25:27.560
<v Speaker 5>end of the decade. So yeah, so to me, that's

0:25:27.680 --> 0:25:30.560
<v Speaker 5>the more as you move into longer time frames. That's

0:25:30.600 --> 0:25:32.240
<v Speaker 5>probably where I think we're moving towards.

0:25:32.320 --> 0:25:35.400
<v Speaker 4>Can we title this episode, tom Lee, why SMP could

0:25:35.440 --> 0:25:37.080
<v Speaker 4>go to fifteen by twenty thirty?

0:25:37.320 --> 0:25:37.920
<v Speaker 3>Is that for sure?

0:25:38.040 --> 0:25:41.520
<v Speaker 5>Okay, we have we have many charts to explain that number.

0:25:41.760 --> 0:25:42.920
<v Speaker 2>Oh you should send them to us.

0:25:43.040 --> 0:25:45.400
<v Speaker 3>Yeah, well we'll post them. Yeah, yeah, that'd be great.

0:26:01.800 --> 0:26:04.439
<v Speaker 4>I would love to just make this whole episode about

0:26:04.480 --> 0:26:07.040
<v Speaker 4>the wireless in the late nineties, because I have some

0:26:07.320 --> 0:26:10.640
<v Speaker 4>memory of that period. What are the early warning signs?

0:26:10.920 --> 0:26:11.119
<v Speaker 2>You know?

0:26:11.200 --> 0:26:12.960
<v Speaker 4>I think you go back and you start to see

0:26:12.960 --> 0:26:15.520
<v Speaker 4>things in the accounting that's like some of the sales

0:26:15.600 --> 0:26:19.240
<v Speaker 4>quality is deteriorating or whatever. And I guess when people

0:26:19.280 --> 0:26:23.200
<v Speaker 4>look at whether it's the mag seven or Nvidia specifically,

0:26:23.280 --> 0:26:25.760
<v Speaker 4>or some of these other companies that are clearly just

0:26:25.800 --> 0:26:29.040
<v Speaker 4>benefiting from this tremendous KPEX cycle, they're like, well, they

0:26:29.080 --> 0:26:31.280
<v Speaker 4>want to like look at the signs. And granted, I

0:26:31.320 --> 0:26:33.879
<v Speaker 4>know you see a long runway because we're part of

0:26:33.880 --> 0:26:37.800
<v Speaker 4>the silicon or labor to silicon transition, but just going

0:26:37.840 --> 0:26:41.360
<v Speaker 4>to even think about late nineties, What were the sort

0:26:41.400 --> 0:26:44.960
<v Speaker 4>of signs that a company might suddenly not be able

0:26:44.960 --> 0:26:46.439
<v Speaker 4>to live up to the hype, and what are the

0:26:46.480 --> 0:26:48.040
<v Speaker 4>types of things people should look for.

0:26:48.520 --> 0:26:50.879
<v Speaker 5>Yes, I can cite many, I'm not citing them in

0:26:50.880 --> 0:26:51.760
<v Speaker 5>the order of importance.

0:26:51.840 --> 0:26:52.119
<v Speaker 3>Sure.

0:26:52.960 --> 0:26:59.160
<v Speaker 5>The first is I remembered when investors suddenly said our

0:26:59.160 --> 0:27:02.080
<v Speaker 5>price targets weren't adequate. So I remember putting a buy

0:27:02.359 --> 0:27:04.160
<v Speaker 5>rating on a stock and it had twenty five percent

0:27:04.240 --> 0:27:05.800
<v Speaker 5>upside and they're like, Tom, I can make that in

0:27:05.840 --> 0:27:09.160
<v Speaker 5>a week. And it was at a time when many

0:27:09.480 --> 0:27:13.440
<v Speaker 5>people in the markets were famously making thirty thousand dollars

0:27:13.480 --> 0:27:15.440
<v Speaker 5>stocks when they made ten million dollars in a month.

0:27:15.680 --> 0:27:17.679
<v Speaker 5>I mean there were many people I was working with

0:27:17.840 --> 0:27:24.040
<v Speaker 5>that were realizing trades like that. The second is when

0:27:24.680 --> 0:27:30.560
<v Speaker 5>analysts have to suddenly shift discount rates to a level

0:27:30.840 --> 0:27:34.800
<v Speaker 5>that removes all risk. So the ce Lex, for instance,

0:27:34.880 --> 0:27:38.359
<v Speaker 5>you had to apply a five percent cost of money,

0:27:38.920 --> 0:27:41.960
<v Speaker 5>and you assumed everybody was paying market rate for fiber.

0:27:42.119 --> 0:27:45.800
<v Speaker 5>I mean, it was that was not possible, but that's

0:27:45.840 --> 0:27:49.160
<v Speaker 5>you had to fudge it. The third is capital markets.

0:27:49.240 --> 0:27:53.800
<v Speaker 5>There was so much investment banking activity. There's no investment

0:27:53.840 --> 0:27:56.520
<v Speaker 5>banking and IPOs right now. I mean, it's a paucity

0:27:56.520 --> 0:27:58.400
<v Speaker 5>of it. So I don't think you could say there's

0:27:58.400 --> 0:28:00.920
<v Speaker 5>a bubble even in the next two years because there

0:28:00.960 --> 0:28:05.480
<v Speaker 5>aren't tons of AI IPOs. There was so much IPO

0:28:05.800 --> 0:28:08.680
<v Speaker 5>I think it was I don't know if the numbers

0:28:08.680 --> 0:28:10.800
<v Speaker 5>were staggering, like it was forty or fifty percent of

0:28:10.800 --> 0:28:13.080
<v Speaker 5>all ips were tech IPOs. Back then, it was some

0:28:13.280 --> 0:28:16.000
<v Speaker 5>crazy numbers and there were like dozens in a day. Yeah,

0:28:16.040 --> 0:28:18.760
<v Speaker 5>that's right, and they all were doubling or tripling.

0:28:19.000 --> 0:28:20.919
<v Speaker 2>Wait, but is there an argument to be made that

0:28:21.359 --> 0:28:24.600
<v Speaker 2>in the current environment there's less incentive for companies to

0:28:24.640 --> 0:28:27.040
<v Speaker 2>go public? I mean we talk about, yeah, the amount

0:28:27.119 --> 0:28:29.560
<v Speaker 2>of VC money, the amount of money floating around in

0:28:29.600 --> 0:28:32.080
<v Speaker 2>private credit. Is it possible that you know the money

0:28:32.119 --> 0:28:34.080
<v Speaker 2>is just private versus.

0:28:33.760 --> 0:28:37.199
<v Speaker 5>Public that that has been a change. Now if you

0:28:37.200 --> 0:28:40.240
<v Speaker 5>look at the prequel database, there's more privately held companies

0:28:40.280 --> 0:28:45.320
<v Speaker 5>than publicly listed. But every company needs an exit, so

0:28:45.400 --> 0:28:47.400
<v Speaker 5>there was going to be an IPO cycle, or there

0:28:47.440 --> 0:28:52.040
<v Speaker 5>should be a merger cycle, or there should be huge

0:28:52.080 --> 0:28:56.760
<v Speaker 5>amounts of venture money pouring into this where allocators are

0:28:57.600 --> 0:29:00.960
<v Speaker 5>fighting over themselves to allocate I don't see any of

0:29:00.960 --> 0:29:03.160
<v Speaker 5>that today. I think there's a lot of skepticism that

0:29:03.200 --> 0:29:04.760
<v Speaker 5>AI has a lot of hype.

0:29:05.680 --> 0:29:08.680
<v Speaker 4>Wait, but I did see this is a headline again.

0:29:08.680 --> 0:29:11.600
<v Speaker 4>We're recording this June eighteenth. This is the headline that

0:29:11.720 --> 0:29:14.120
<v Speaker 4>ran on the Bloomberg terminal about an hour and a

0:29:14.160 --> 0:29:18.320
<v Speaker 4>half ago. Steve Cohen's point seventy two ready's new hedge

0:29:18.360 --> 0:29:23.000
<v Speaker 4>fund targeting AI stock. Steve Cohens is seeking point seventy two,

0:29:23.000 --> 0:29:24.959
<v Speaker 4>seeking to raise about one billion dollars for a new

0:29:24.960 --> 0:29:29.160
<v Speaker 4>stock picking hedge fund focused on artificial intelligence. According to

0:29:29.200 --> 0:29:31.320
<v Speaker 4>people familiar with the matter, the fund will bet on

0:29:31.520 --> 0:29:32.480
<v Speaker 4>or against AI hardware.

0:29:32.520 --> 0:29:34.800
<v Speaker 3>Blah blah blah. It looks like the.

0:29:34.760 --> 0:29:38.000
<v Speaker 4>Emergence of some vehicles perhaps where people just want to

0:29:38.000 --> 0:29:39.360
<v Speaker 4>play this theme in some way or another.

0:29:39.960 --> 0:29:42.680
<v Speaker 5>Yes, so maybe it's starting. I wouldn't consider that a

0:29:42.760 --> 0:29:46.640
<v Speaker 5>late I would never consider firms like co two or

0:29:46.680 --> 0:29:49.640
<v Speaker 5>point seventy two as late cycle signal.

0:29:49.840 --> 0:29:50.440
<v Speaker 3>Yeah, fair to me.

0:29:50.560 --> 0:29:53.480
<v Speaker 5>There probably the front edge of that.

0:29:54.960 --> 0:29:59.880
<v Speaker 2>Outside of technology stocks more broadly, or the economy more generally.

0:30:00.000 --> 0:30:02.800
<v Speaker 2>And what would make you nervous, what would you watch

0:30:02.840 --> 0:30:05.360
<v Speaker 2>out for as your bear signal?

0:30:07.000 --> 0:30:10.960
<v Speaker 5>Well, in wireless, I did call many tops and stocks

0:30:11.680 --> 0:30:15.760
<v Speaker 5>and had many fundamental shorts, so there is of course,

0:30:15.840 --> 0:30:19.920
<v Speaker 5>the key anchoring is are the price levels disconnected from

0:30:20.560 --> 0:30:25.000
<v Speaker 5>a justifiable fundamental reality? I mean I don't think so.

0:30:25.520 --> 0:30:28.280
<v Speaker 5>I think if we have pees of one hundred for

0:30:28.360 --> 0:30:32.760
<v Speaker 5>Omega capstock, maybe that's something to question. The second, of course,

0:30:32.800 --> 0:30:37.640
<v Speaker 5>is sentiment, because when everybody is bullish, then one cannot

0:30:38.320 --> 0:30:40.960
<v Speaker 5>be convinced there's upside because a lot of the best

0:30:40.960 --> 0:30:44.760
<v Speaker 5>case would be priced it. We at Funstrat don't find

0:30:45.040 --> 0:30:47.160
<v Speaker 5>most of our clients are bullish. Most of them are

0:30:47.920 --> 0:30:52.640
<v Speaker 5>skeptics because many still don't feel October twenty twenty two

0:30:52.720 --> 0:30:56.320
<v Speaker 5>was a complete bottom because markets have since risen while

0:30:56.320 --> 0:30:59.920
<v Speaker 5>the fetes stayed tight. Most people cannot sleep at night

0:31:00.240 --> 0:31:02.520
<v Speaker 5>with that notion. And they want to see how stocks

0:31:02.560 --> 0:31:05.360
<v Speaker 5>react to the first FED cut. And as you know,

0:31:05.760 --> 0:31:07.360
<v Speaker 5>how many people tell you, oh, stocks are going to

0:31:07.400 --> 0:31:10.120
<v Speaker 5>fall as soon as I FED starts cutting. Because many

0:31:10.120 --> 0:31:13.120
<v Speaker 5>people say that I'm probably in the camp the markets

0:31:13.200 --> 0:31:14.640
<v Speaker 5>rally on the first cut.

0:31:14.600 --> 0:31:15.160
<v Speaker 3>I'm curious.

0:31:15.160 --> 0:31:17.880
<v Speaker 4>Sentiment is always one of those things that strikes me

0:31:18.000 --> 0:31:21.760
<v Speaker 4>is easier to talk about measuring than actually measuring, And

0:31:21.800 --> 0:31:24.480
<v Speaker 4>you say it some of the conversations you have with clients.

0:31:24.760 --> 0:31:28.480
<v Speaker 4>Are other sort of surveys or market indicators that you

0:31:28.520 --> 0:31:32.360
<v Speaker 4>have found to be good reliable measures of sentiment over time.

0:31:32.800 --> 0:31:35.360
<v Speaker 5>You know, most sentiment indicators are not reliable because most

0:31:35.360 --> 0:31:37.680
<v Speaker 5>people don't take the time to film out. Okay, but

0:31:37.720 --> 0:31:40.840
<v Speaker 5>at the extremes they're quite useful, like the AAII I

0:31:40.840 --> 0:31:44.760
<v Speaker 5>think is really useful. But if you look at surveys,

0:31:45.040 --> 0:31:48.120
<v Speaker 5>they're not that reliable because the response rates terrible. I mean,

0:31:48.120 --> 0:31:51.200
<v Speaker 5>look at the labor surveys, right, isn't the BLS. Isn't

0:31:51.240 --> 0:31:54.080
<v Speaker 5>the response rate like in the forties Now it's.

0:31:53.960 --> 0:31:54.600
<v Speaker 2>Gone down a lot.

0:31:54.680 --> 0:31:54.840
<v Speaker 1>Yeh.

0:31:54.960 --> 0:31:55.280
<v Speaker 3>Yeah.

0:31:55.360 --> 0:31:58.200
<v Speaker 5>That's why I think as a company we pride ourselves

0:31:58.240 --> 0:32:00.640
<v Speaker 5>we are in conversations with our clients, not you know,

0:32:00.720 --> 0:32:03.560
<v Speaker 5>a blue chip bank. We have many clients that we're

0:32:03.560 --> 0:32:06.640
<v Speaker 5>in constant contact with. But it does represent a meaningful

0:32:06.640 --> 0:32:10.400
<v Speaker 5>percentage of professionally managed money, so we have a very

0:32:10.440 --> 0:32:12.160
<v Speaker 5>real time way to measure sentiment.

0:32:13.200 --> 0:32:16.960
<v Speaker 2>Can I ask about bitcoin, because in addition to getting

0:32:16.960 --> 0:32:20.400
<v Speaker 2>the bull market of recent months and years correct, the

0:32:20.760 --> 0:32:24.200
<v Speaker 2>other prediction that you are known for is bullish calls

0:32:24.280 --> 0:32:28.240
<v Speaker 2>on bitcoin. And can you talk to us maybe about

0:32:28.520 --> 0:32:31.160
<v Speaker 2>how you come up with a price target for bitcoin,

0:32:31.280 --> 0:32:35.680
<v Speaker 2>because to me, it seems difficult to put it mildly like,

0:32:36.000 --> 0:32:39.840
<v Speaker 2>to me, bitcoin is almost a pure expression of momentum

0:32:40.160 --> 0:32:42.880
<v Speaker 2>or flows, and that kind of feeds on itself, and

0:32:42.920 --> 0:32:46.520
<v Speaker 2>it just feels difficult to me to predict. And yet

0:32:46.880 --> 0:32:49.200
<v Speaker 2>you have been very specific in the numbers that you

0:32:49.280 --> 0:32:51.160
<v Speaker 2>will put on this thing.

0:32:53.640 --> 0:32:59.200
<v Speaker 5>Yes, bitcoin is unlike other asset classes because there is

0:33:00.080 --> 0:33:04.200
<v Speaker 5>a cooperative value. You know, the people who contribute to

0:33:04.200 --> 0:33:08.600
<v Speaker 5>the network benefit from it, and that's different than any

0:33:08.600 --> 0:33:12.320
<v Speaker 5>other asset class. When we first wrote about bitcoins in

0:33:12.400 --> 0:33:16.480
<v Speaker 5>twenty seventeen, and bitcoin was around one thousand at the time,

0:33:17.200 --> 0:33:20.640
<v Speaker 5>we published a white paper that said, even if you

0:33:20.720 --> 0:33:26.080
<v Speaker 5>don't really believe in blockchain and the security of the network,

0:33:26.200 --> 0:33:28.800
<v Speaker 5>we had pointed out at the time that just two

0:33:28.920 --> 0:33:32.280
<v Speaker 5>variables explained over eighty percent of the price move a bitcoin,

0:33:32.680 --> 0:33:35.880
<v Speaker 5>which is the number of active wallets and the activity

0:33:35.880 --> 0:33:39.000
<v Speaker 5>per wallet. And at the time we made a simple

0:33:39.000 --> 0:33:40.960
<v Speaker 5>projection we said that in five years, so by twenty

0:33:41.000 --> 0:33:43.280
<v Speaker 5>twenty two, if the number of wallets went up by

0:33:44.800 --> 0:33:48.480
<v Speaker 5>seventy percent and activity per wallet went up by forty

0:33:48.640 --> 0:33:51.320
<v Speaker 5>bitcoin would be twenty five thousand by twenty twenty two.

0:33:52.280 --> 0:33:55.600
<v Speaker 5>So it was really kind of maths that bitcoin, even

0:33:55.600 --> 0:33:57.760
<v Speaker 5>if you don't understand it, and I think it's it's

0:33:57.760 --> 0:34:02.280
<v Speaker 5>an incredible technology, right. Decentralized database is so secure it

0:34:02.280 --> 0:34:06.800
<v Speaker 5>hasn't been hacked. In the fourteen years of existence. Not

0:34:06.920 --> 0:34:10.880
<v Speaker 5>a single entry on the bitcoin ledger is fraudulent. In

0:34:10.920 --> 0:34:13.480
<v Speaker 5>that same period of time, six percent of all bank

0:34:13.680 --> 0:34:18.800
<v Speaker 5>ledger activity is considered suspicious by the FDIC. But today,

0:34:19.440 --> 0:34:21.480
<v Speaker 5>if you look at any time interval and say how

0:34:21.560 --> 0:34:23.600
<v Speaker 5>much of the price move is explained by wallet change

0:34:23.600 --> 0:34:25.840
<v Speaker 5>and activity per wallet, it's still over eighty percent. So

0:34:25.920 --> 0:34:28.400
<v Speaker 5>to me, Bitcoin's price in the future it will be

0:34:29.040 --> 0:34:33.320
<v Speaker 5>depend on how many people further adopted and whether activity

0:34:33.360 --> 0:34:36.640
<v Speaker 5>on the network will grow. We're confident both will take place,

0:34:36.640 --> 0:34:40.319
<v Speaker 5>and that's why you can get some really high exponential

0:34:40.360 --> 0:34:44.520
<v Speaker 5>price levels from here. I know folks like Kathy would

0:34:44.560 --> 0:34:46.560
<v Speaker 5>say it's in the two million, believe it or not.

0:34:46.560 --> 0:34:49.200
<v Speaker 5>If you go out into far enough time frame, let's

0:34:49.200 --> 0:34:53.239
<v Speaker 5>say five years, and you grow the number willlet's at

0:34:53.239 --> 0:34:56.360
<v Speaker 5>a linear rate, you can get in the millions for bitcoin.

0:34:57.280 --> 0:35:01.040
<v Speaker 2>But what drives the opening of wallets or adoption other

0:35:01.080 --> 0:35:05.719
<v Speaker 2>than price like that? Because It seems almost circuitous in

0:35:05.760 --> 0:35:08.759
<v Speaker 2>many ways that people see again the line going up

0:35:08.880 --> 0:35:10.719
<v Speaker 2>into the right, and then they want to get in

0:35:10.760 --> 0:35:12.399
<v Speaker 2>on it, and so they open a wallet. But when

0:35:12.440 --> 0:35:15.399
<v Speaker 2>stuff starts to fall and go in reverse, you can

0:35:15.640 --> 0:35:17.760
<v Speaker 2>have these very dramatic price cuts.

0:35:17.880 --> 0:35:20.520
<v Speaker 5>Yeah, so I think it sounds like we're describing currency

0:35:21.040 --> 0:35:25.520
<v Speaker 5>because like dollar adoption probably look that way, right, I mean,

0:35:25.840 --> 0:35:29.280
<v Speaker 5>not everybody accepted dollars in the beginning, but more people

0:35:29.400 --> 0:35:32.120
<v Speaker 5>accepted dollars, and then as more people accepted they start

0:35:32.160 --> 0:35:34.760
<v Speaker 5>to use it. I think in that way, the history

0:35:34.760 --> 0:35:38.600
<v Speaker 5>of currencies could explain how bitcoin can grow, because over time,

0:35:38.640 --> 0:35:41.160
<v Speaker 5>as bitcoin is more widely held, you can start to

0:35:41.239 --> 0:35:46.280
<v Speaker 5>innovate around it, whether it's pricing off bitcoin, letting people

0:35:46.640 --> 0:35:50.640
<v Speaker 5>lend off bitcoin, or micropayments around bitcoin, or settle things

0:35:50.680 --> 0:35:55.719
<v Speaker 5>on the blockchain. That's what's happening. So I can't give

0:35:55.719 --> 0:35:59.000
<v Speaker 5>you a single use case that will explain the growth

0:35:59.000 --> 0:36:02.759
<v Speaker 5>and wallets, but we know that institutional adoptions growing. I mean,

0:36:02.840 --> 0:36:04.719
<v Speaker 5>I think it was a huge deal that black Rock

0:36:04.760 --> 0:36:08.000
<v Speaker 5>has gotten into bitcoin because it pretty much invalidates the

0:36:08.040 --> 0:36:10.759
<v Speaker 5>idea that this is just a bunch of people in

0:36:10.800 --> 0:36:13.719
<v Speaker 5>their basements playing with you know digital money.

0:36:14.120 --> 0:36:16.880
<v Speaker 4>Going back to real money for a second, or you

0:36:16.920 --> 0:36:20.520
<v Speaker 4>know things that maybe ground traditional additional assets. I want

0:36:20.560 --> 0:36:23.040
<v Speaker 4>to talk more about your twenty thirty calls. So what

0:36:23.040 --> 0:36:25.720
<v Speaker 4>do we say fifteen thousand is a possibility in twenty

0:36:25.920 --> 0:36:29.799
<v Speaker 4>thirty we're at fifty four eighty fifty four eighty three

0:36:29.880 --> 0:36:32.520
<v Speaker 4>oh six as of the time I said those words,

0:36:33.040 --> 0:36:35.840
<v Speaker 4>what have it? So that's you know, six years tripling

0:36:35.920 --> 0:36:38.680
<v Speaker 4>almost What has to take place or what takes place

0:36:38.680 --> 0:36:42.600
<v Speaker 4>from a valuation perspective, et cetera, an earnings growth perspective

0:36:42.640 --> 0:36:44.719
<v Speaker 4>in the next six years that can get us to

0:36:44.760 --> 0:36:45.240
<v Speaker 4>that number.

0:36:45.360 --> 0:36:48.080
<v Speaker 5>Yeah, I haven't updated the numbers recently, so I can

0:36:48.120 --> 0:36:50.200
<v Speaker 5>speak to it from I think three or four years

0:36:50.200 --> 0:36:53.279
<v Speaker 5>ago when we first published that number. It's roughly a

0:36:53.360 --> 0:36:59.080
<v Speaker 5>twenty percent annual price appreciation. Wow, Now earnings growth would

0:36:59.080 --> 0:37:02.920
<v Speaker 5>be twelve to fifteen percent of that total. Okay, so

0:37:03.040 --> 0:37:07.720
<v Speaker 5>then you have five percent a year PE expansion. Now

0:37:07.880 --> 0:37:11.520
<v Speaker 5>can PE expand it five percent a year? I think

0:37:11.600 --> 0:37:14.920
<v Speaker 5>one thing to keep in mind is COVID proved to

0:37:15.000 --> 0:37:17.400
<v Speaker 5>us that businesses are a lot more resilient than we realized,

0:37:17.960 --> 0:37:21.399
<v Speaker 5>So why should we assign the same PE to them?

0:37:21.480 --> 0:37:24.120
<v Speaker 5>That we assigned to them prior to this, knowing that

0:37:24.120 --> 0:37:27.600
<v Speaker 5>if you shut down the global economy, jack up unemployment

0:37:28.560 --> 0:37:32.920
<v Speaker 5>to twenty percent, have huge supply chain disruptions, and yet

0:37:32.920 --> 0:37:36.160
<v Speaker 5>companies could manage earnings. I think they deserve a lot

0:37:36.200 --> 0:37:39.720
<v Speaker 5>more credit. So I think the multiple can compound at

0:37:39.760 --> 0:37:41.400
<v Speaker 5>higher rate than five percent.

0:37:42.320 --> 0:37:44.960
<v Speaker 4>Yeah, Tracy, Actually, I have to say this is something

0:37:45.000 --> 0:37:48.480
<v Speaker 4>that i've like, my thinking is sort of sharpened on

0:37:48.680 --> 0:37:52.640
<v Speaker 4>over the last few years. Essentially, this like US businesses,

0:37:52.680 --> 0:37:53.960
<v Speaker 4>at least the big ones are.

0:37:53.840 --> 0:37:55.320
<v Speaker 3>Really like well run.

0:37:55.800 --> 0:37:58.920
<v Speaker 4>You know, the fact that, as Tom described, so many

0:37:58.960 --> 0:38:01.480
<v Speaker 4>of them were like quickly able to adapt to the

0:38:01.480 --> 0:38:05.760
<v Speaker 4>COVID environment. The fact that when interest rates started going

0:38:05.840 --> 0:38:08.960
<v Speaker 4>up in early twenty twenty two, so much of the

0:38:09.160 --> 0:38:12.560
<v Speaker 4>so many of the overstaffed tech companies were quickly able

0:38:12.640 --> 0:38:16.560
<v Speaker 4>to pivot, and when I say pivot, cut workers and

0:38:16.960 --> 0:38:20.759
<v Speaker 4>maximize for free cash flow, which investors were clamoring to see. Like,

0:38:21.000 --> 0:38:24.480
<v Speaker 4>just from a sort of objective investor based standpoint, my

0:38:24.760 --> 0:38:28.120
<v Speaker 4>estimation of the sort of agility and skill of big

0:38:28.239 --> 0:38:31.400
<v Speaker 4>US corporations I have been impressed over the last several years.

0:38:31.600 --> 0:38:36.640
<v Speaker 2>Never underestimate American companies a reality to make money for real. Okay, well,

0:38:37.040 --> 0:38:40.080
<v Speaker 2>I have to ask one question, which is Tom, You've

0:38:40.120 --> 0:38:44.120
<v Speaker 2>explained very well how you use history and data in

0:38:44.160 --> 0:38:46.960
<v Speaker 2>your thinking. But I guess one thing I would love

0:38:47.000 --> 0:38:49.680
<v Speaker 2>to know is is there anything from the experience, the

0:38:49.760 --> 0:38:53.239
<v Speaker 2>post pandemic experience that has surprised you.

0:38:54.800 --> 0:38:58.240
<v Speaker 5>There's things that have reinforced some things I always wondered about.

0:38:59.080 --> 0:39:02.879
<v Speaker 5>One is I think as much as people say they're

0:39:02.920 --> 0:39:07.120
<v Speaker 5>objective and they only look at things objectively, they always

0:39:07.160 --> 0:39:10.400
<v Speaker 5>have a bias. And I think the bias since COVID

0:39:10.480 --> 0:39:12.839
<v Speaker 5>has been that we are in a state of emergency.

0:39:13.680 --> 0:39:16.759
<v Speaker 5>There's too much debt, there's still a virus out there. Now,

0:39:16.800 --> 0:39:19.760
<v Speaker 5>AI is going to get us, and that is played

0:39:19.800 --> 0:39:24.200
<v Speaker 5>into how people view stocks and not as objective instruments

0:39:24.280 --> 0:39:28.560
<v Speaker 5>of shareholder value. The second thing that is true is

0:39:28.600 --> 0:39:31.560
<v Speaker 5>that there's what I always observed as the youngification of

0:39:31.680 --> 0:39:35.680
<v Speaker 5>money management, which is, let's take you know, the top

0:39:35.760 --> 0:39:38.800
<v Speaker 5>twenty largest hedge funds and the top twenty largest I

0:39:38.800 --> 0:39:41.560
<v Speaker 5>don't know active managers. Well, when we look at the

0:39:41.560 --> 0:39:43.879
<v Speaker 5>average age of a fund manager, I don't know, they're

0:39:43.880 --> 0:39:47.160
<v Speaker 5>probably in their late thirties. If you go back ten years.

0:39:47.360 --> 0:39:51.360
<v Speaker 5>They're also the same age in their late thirties, you know,

0:39:51.400 --> 0:39:53.839
<v Speaker 5>because you know, in hedge fund most people retire because

0:39:53.840 --> 0:39:56.080
<v Speaker 5>they made a lot of money or they don't survive,

0:39:57.040 --> 0:40:00.000
<v Speaker 5>which means that the look back of institutional knowledge isn't

0:40:00.120 --> 0:40:02.000
<v Speaker 5>growing over time. It's the same. You know, they have

0:40:02.120 --> 0:40:07.560
<v Speaker 5>ten years of experience. So today most people don't have

0:40:07.719 --> 0:40:13.760
<v Speaker 5>necessary real time knowledge of GFC that are actually managing money. Yeah,

0:40:13.880 --> 0:40:18.320
<v Speaker 5>so that means the pandemic is influencing how people view

0:40:19.040 --> 0:40:24.360
<v Speaker 5>markets disproportionately without appreciating the historical backdrop, which is what

0:40:24.480 --> 0:40:26.560
<v Speaker 5>you know, which is something I'm continuing to observe.

0:40:27.000 --> 0:40:30.120
<v Speaker 2>Yeah. Yeah, that kind of recency bias is definitely a

0:40:30.160 --> 0:40:32.920
<v Speaker 2>thing because I think for both Joe and myself, the

0:40:32.960 --> 0:40:36.239
<v Speaker 2>two thousand and eight financial crisis looms very large in

0:40:36.280 --> 0:40:39.200
<v Speaker 2>our heads, whereas for a lot of other people, now,

0:40:39.239 --> 0:40:39.560
<v Speaker 2>a lot.

0:40:39.440 --> 0:40:41.040
<v Speaker 5>Of younger people, which is history.

0:40:41.080 --> 0:40:43.440
<v Speaker 2>It's yeah, it's history, and it's like the pandemic that

0:40:43.480 --> 0:40:47.080
<v Speaker 2>they think about. Anyway, Tom, that was so fascinating and

0:40:47.080 --> 0:40:48.880
<v Speaker 2>we're so glad we've been meaning to have you on

0:40:48.920 --> 0:40:50.480
<v Speaker 2>the show for a long time. I don't know why

0:40:50.520 --> 0:40:52.720
<v Speaker 2>it hasn't happened before, but I'm glad we could finally

0:40:52.760 --> 0:40:54.200
<v Speaker 2>do it, So thank you so much.

0:40:54.040 --> 0:40:55.680
<v Speaker 5>And hopefully it's not another thirty years.

0:40:56.480 --> 0:40:59.040
<v Speaker 3>No, we won't wait another thirty years.

0:40:59.080 --> 0:41:02.319
<v Speaker 4>We'll have you back in a twenty thirty when the

0:41:02.400 --> 0:41:04.560
<v Speaker 4>S and P is at fifteen thousand to get.

0:41:04.440 --> 0:41:07.440
<v Speaker 3>Your twenty forty call. Yes, that's right, all right. Looking

0:41:07.440 --> 0:41:07.799
<v Speaker 3>forward to.

0:41:20.560 --> 0:41:24.680
<v Speaker 2>Joe, that was really interesting, particularly hearing about Tom's experience

0:41:24.800 --> 0:41:27.920
<v Speaker 2>as a wireless analyst in the early two thousands. And

0:41:28.000 --> 0:41:31.000
<v Speaker 2>I got to go look up that bankruptcy research project

0:41:31.040 --> 0:41:33.480
<v Speaker 2>that he mentioned because that sounds interesting as well. But

0:41:33.560 --> 0:41:37.120
<v Speaker 2>a couple things stuck out to me. So One, when

0:41:37.160 --> 0:41:40.200
<v Speaker 2>I think of Tom Lee and his work, I do

0:41:40.280 --> 0:41:45.160
<v Speaker 2>often think about those very lofty, specific price targets, and

0:41:45.239 --> 0:41:49.040
<v Speaker 2>so it was interesting to hear him talk about why

0:41:49.080 --> 0:41:52.239
<v Speaker 2>he goes down that route rather than just say, you know,

0:41:52.640 --> 0:41:55.879
<v Speaker 2>ten percent upside or something like that, and it kind

0:41:55.920 --> 0:41:58.560
<v Speaker 2>of makes sense. I guess that's a point of differentiation

0:41:58.680 --> 0:42:02.040
<v Speaker 2>for him versus another equity strategist.

0:42:02.680 --> 0:42:03.360
<v Speaker 3>No, totally.

0:42:03.400 --> 0:42:06.319
<v Speaker 4>It's interesting that there is this perceptions like people just

0:42:06.360 --> 0:42:08.840
<v Speaker 4>want to know whether things are going up or down,

0:42:09.080 --> 0:42:11.840
<v Speaker 4>which sort of my standpoint. But then then in the

0:42:11.880 --> 0:42:14.799
<v Speaker 4>conversation everyone's like, yeah, so what's the price target? Even

0:42:14.800 --> 0:42:16.600
<v Speaker 4>though that's notoriously hard to well.

0:42:16.680 --> 0:42:18.480
<v Speaker 2>I guess we can see it in this conversation as well,

0:42:18.480 --> 0:42:22.399
<v Speaker 2>because we will probably title this episode. You know, Tom

0:42:22.480 --> 0:42:24.279
<v Speaker 2>Lely sees what was it? The S and P five

0:42:24.360 --> 0:42:25.240
<v Speaker 2>hundred at.

0:42:25.280 --> 0:42:29.560
<v Speaker 3>Thirty thousand, No. Fifteen and twenty thirty. You know, there's

0:42:29.560 --> 0:42:30.160
<v Speaker 3>a lot in there.

0:42:30.239 --> 0:42:32.919
<v Speaker 4>Like I said, I could talk about you know, late

0:42:33.080 --> 0:42:35.600
<v Speaker 4>nineties wireless bubble stuff.

0:42:35.880 --> 0:42:38.040
<v Speaker 2>Go on, Joe, I know you want to No, it.

0:42:38.000 --> 0:42:38.720
<v Speaker 3>Never gets boring.

0:42:39.040 --> 0:42:42.160
<v Speaker 4>On the flip side, I have been thinking about this

0:42:42.280 --> 0:42:45.720
<v Speaker 4>a lot, which is just that the financial crisis really

0:42:45.800 --> 0:42:48.279
<v Speaker 4>is fading into what I would call like capital h

0:42:48.760 --> 0:42:52.200
<v Speaker 4>history as just something that is for you and I.

0:42:52.480 --> 0:42:55.239
<v Speaker 4>It feels like on you know, in many respects, we're

0:42:55.280 --> 0:42:58.480
<v Speaker 4>still living in the aftermath of that event and decisions

0:42:58.480 --> 0:43:00.960
<v Speaker 4>that were made and policies that were in place in

0:43:00.960 --> 0:43:03.160
<v Speaker 4>that aftermath, and you and I could talk forever about

0:43:03.160 --> 0:43:06.600
<v Speaker 4>how they still inform the markets today, I think in

0:43:06.760 --> 0:43:09.920
<v Speaker 4>profound ways. But I don't think that's the case for

0:43:09.960 --> 0:43:12.600
<v Speaker 4>a lot of people think about markets. It's literally something

0:43:12.640 --> 0:43:14.680
<v Speaker 4>that you know, might as well be the Great Depression

0:43:14.760 --> 0:43:17.040
<v Speaker 4>or the nineteen fifties or the Vietnam War or any

0:43:17.080 --> 0:43:20.200
<v Speaker 4>other period that just feels like something you learn in

0:43:20.280 --> 0:43:22.719
<v Speaker 4>history books, but you know, you don't think about as

0:43:22.760 --> 0:43:24.040
<v Speaker 4>applying to your day to day.

0:43:24.520 --> 0:43:27.400
<v Speaker 2>Absolutely. The other thing that stood out for me was,

0:43:27.520 --> 0:43:31.719
<v Speaker 2>I guess the connection between valuations and brates and it

0:43:31.760 --> 0:43:35.880
<v Speaker 2>does feel like maybe there is a growing recognition that

0:43:35.920 --> 0:43:40.000
<v Speaker 2>you can have an environment where companies continue, to your

0:43:40.040 --> 0:43:44.239
<v Speaker 2>point earlier to make money even when treasury yields have

0:43:44.440 --> 0:43:48.960
<v Speaker 2>like doubled, that you know empirically that seems to be happening.

0:43:49.320 --> 0:43:52.239
<v Speaker 4>It's also interesting I hadn't heard. So there is the

0:43:52.280 --> 0:43:54.760
<v Speaker 4>fact that if you're one of these cash rich mega

0:43:54.880 --> 0:43:57.640
<v Speaker 4>caps and higher rates also just directly add to your

0:43:57.680 --> 0:43:59.560
<v Speaker 4>earnings because you don't have dead But then the other

0:43:59.640 --> 0:44:03.280
<v Speaker 4>element of higher rates as a moat that then makes

0:44:03.400 --> 0:44:07.960
<v Speaker 4>new entrance more competitive is a really sort of interesting idea.

0:44:08.040 --> 0:44:11.440
<v Speaker 4>The sort of higher rates as this centralizing force for

0:44:11.520 --> 0:44:14.440
<v Speaker 4>those who already have capital and this penalizing force for

0:44:14.520 --> 0:44:18.080
<v Speaker 4>those who don't as interesting. And then also, as Tom

0:44:18.120 --> 0:44:21.000
<v Speaker 4>pointed out, capital markets activity, and one thing that we

0:44:21.080 --> 0:44:25.000
<v Speaker 4>haven't seen with AI is just this sort of endless

0:44:25.120 --> 0:44:29.680
<v Speaker 4>train of AI related companies coming to the market to

0:44:29.800 --> 0:44:33.799
<v Speaker 4>grab people's wallets and maybe because there's not that many

0:44:33.800 --> 0:44:37.480
<v Speaker 4>good ones out there. But for whatever reason, that aspect

0:44:37.520 --> 0:44:39.319
<v Speaker 4>of the boom has not materialized.

0:44:39.560 --> 0:44:41.960
<v Speaker 2>Yeah, although I suppose, you know, maybe it's only a

0:44:42.000 --> 0:44:44.839
<v Speaker 2>matter of time, or maybe, as we were discussing, more

0:44:44.920 --> 0:44:47.799
<v Speaker 2>of that activity is just taking place in private markets. Now,

0:44:48.120 --> 0:44:49.719
<v Speaker 2>I guess we'll see, we'll see here or two.

0:44:50.080 --> 0:44:51.080
<v Speaker 5>All right, shall we leave it there?

0:44:51.160 --> 0:44:51.839
<v Speaker 3>Let's leave it there.

0:44:51.920 --> 0:44:54.640
<v Speaker 2>This has been another episode of the All Thoughts Podcast.

0:44:54.760 --> 0:44:57.640
<v Speaker 2>I'm Tracy Alloway. You can follow me at Tracy Alloway.

0:44:57.760 --> 0:45:00.560
<v Speaker 4>And I'm Joe Wisenthal. You can follow me at the Stalwart.

0:45:00.760 --> 0:45:04.120
<v Speaker 4>Follow our guest Tom Lee, He's at funstrat. Follow our

0:45:04.160 --> 0:45:07.960
<v Speaker 4>producers Kerman Rodriguez at Kerman armand Dashel Bennett at Dashbot

0:45:08.080 --> 0:45:11.840
<v Speaker 4>and Kelbrooks at Kelbrooks. Thank you to our producer Moses onm.

0:45:12.160 --> 0:45:14.840
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0:45:14.920 --> 0:45:17.239
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0:45:17.400 --> 0:45:20.360
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0:45:24.960 --> 0:45:27.160
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