WEBVTT - ESG, TMT, Equality, And Polestar (Podcast)

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney. Alongside

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<v Speaker 1>my co host Matt Miller. 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>on Apple Podcasts or wherever you listen to podcasts, and

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<v Speaker 1>at Bloomberg dot com slash podcast. E s G Investing.

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<v Speaker 1>I first started hearing about it maybe ten years ago

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<v Speaker 1>from some of my institutional investor clients in Europe. First

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<v Speaker 1>they roll into it like, is Disney is environmental, social

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<v Speaker 1>and governance? And I said, I think Disney is okay.

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<v Speaker 1>That was my big stock pick of the day back

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<v Speaker 1>in the day. I think it's s d okay. I mean,

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<v Speaker 1>it's Mickey Mouse, right, I mean, how bad could it

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<v Speaker 1>be from the E s G perspective? But a lot

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<v Speaker 1>of pope folks wrong. No, I think I'm okay. I

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<v Speaker 1>think I'm okay. It's Mickey's pretty good. Mickey, Mickey, Mickey's

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<v Speaker 1>pretty good. But a lot of folks it's obviously issue

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<v Speaker 1>has become a major major trend. I think it's gone

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<v Speaker 1>two ways. It's gone. On the one hand, it's it's

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<v Speaker 1>been a good label to use for marketing, right, and

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<v Speaker 1>we've seen that takeoff and really sputter out over the

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<v Speaker 1>last couple of months because E s G E t

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<v Speaker 1>F s have now gone negative and let's look at somebody.

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<v Speaker 1>I was gonna say, it's and the the other way

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<v Speaker 1>it's gone, Um, people who are activists or is activists

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<v Speaker 1>the right term. Maybe people who actually do something with

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<v Speaker 1>their steaks, you know, put their money where their mouth

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<v Speaker 1>is and change the world. We have one of those

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<v Speaker 1>people in the office in the studio right now, Yasmin

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<v Speaker 1>Dia Bilder joins us. She's the head of E t

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<v Speaker 1>F S and managing director at Engine Number one, which

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<v Speaker 1>you know probably from last year's proxy battle that won

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<v Speaker 1>them three spots on the board. So it's been great

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<v Speaker 1>to have you in here. Um, talk to us about

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<v Speaker 1>the first of all, the kind of crash and burn

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<v Speaker 1>of the marketing side of E s G investing, because,

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<v Speaker 1>like I said, E t F flows have gone negative. Now, yeah,

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<v Speaker 1>it's a really interesting trend. You're scene right now, So

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<v Speaker 1>I should say off the bat, we don't see ourselves

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<v Speaker 1>as E s G providers, but let's talk definition. What

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<v Speaker 1>is E s G investing. You mentioned environmental, social, and

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<v Speaker 1>governance data. Ultimately, what most of these strategies are doing

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<v Speaker 1>they're trying to rate companies and rank companies. So ultimately

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<v Speaker 1>they're saying what companies look quote unquote best across environmental, social,

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<v Speaker 1>and governance issues and what look worst? And then many

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<v Speaker 1>strategies are built off the back of it. Um Typically

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<v Speaker 1>what you see is strategies that exclude the worst or

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<v Speaker 1>by the best. The challenge with the space and you're

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<v Speaker 1>seeing it sort of play out real time is first

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<v Speaker 1>and foremost, what is a good company and what's a

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<v Speaker 1>bad company? Right Like, many of these data providers actually

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<v Speaker 1>have no correlation across what where they actually rank companies.

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<v Speaker 1>In fact, Facebook is the best example. Some rank it

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<v Speaker 1>is a top quartel, some rank its bottom quartel. It's

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<v Speaker 1>a very personal discussion, insane. Now you see the performances.

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<v Speaker 1>The other thing though, which is it? It tends to

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<v Speaker 1>be that many of these portfolios are just overweight technology

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<v Speaker 1>and underweight oiling gas and so what are you seeing

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<v Speaker 1>the last couple? Because Exon is clearly a bad company

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<v Speaker 1>right from it. I don't know how they are in

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<v Speaker 1>terms of the social and governance side of things. But

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<v Speaker 1>in terms of environmental you just measure them by you know,

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<v Speaker 1>CEO two emissions. Surely X it's one of the worst

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<v Speaker 1>companies in the world. Right, we'll all talk about our

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<v Speaker 1>campaign and what we were hoping to see for X

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<v Speaker 1>on mobiles. It's the anniversary kind of it's right around

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<v Speaker 1>now is when we had what we were able to

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<v Speaker 1>successfully place three people on the board of directors of Exxon,

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<v Speaker 1>and we did that with owning just two basis points

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<v Speaker 1>in the company. It's very fashion. I mean, if I

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<v Speaker 1>were on that board. But but you know what was

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<v Speaker 1>interesting is we really focused our argument on the shareholder

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<v Speaker 1>argument for what we wanted to talk about, not the

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<v Speaker 1>morality climate argument. And what we were really focusing on

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<v Speaker 1>was a few things. First, it was all about governance.

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<v Speaker 1>It was about the fact that, whether you like it

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<v Speaker 1>or not, whether you believe in climate change or not,

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<v Speaker 1>energy is going through huge transformation, whether it's government regulation

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<v Speaker 1>or shifting consumer preferences, and we felt that the board

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<v Speaker 1>would benefit from additional folks who had real, true transformational

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<v Speaker 1>energy experience. It was also about their capital allocation strategy.

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<v Speaker 1>And so I think the real interesting thing from the

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<v Speaker 1>campaign for me was two fold one was you can

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<v Speaker 1>own a small part of a company, but if you

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<v Speaker 1>focus on the shareholder value argument, you can bring people

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<v Speaker 1>along with you. Um. And the other is that you know,

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<v Speaker 1>moving the conversation from ideology to economics, and that was

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<v Speaker 1>where we had our success. That's key, right, that's super key,

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<v Speaker 1>And in that sense you can easily understand why shareholders

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<v Speaker 1>would want you there. They've got to make this transformation anyway.

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<v Speaker 1>The guys they know on the board are probably a

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<v Speaker 1>all guys and be only know how to put holes

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<v Speaker 1>in the ground and pull out the Earth's precious resources,

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<v Speaker 1>and they need someone to show them the way. How

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<v Speaker 1>does the C suite react, Well, we are an engagement focus.

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<v Speaker 1>From the traditional theory of change in this space is divestment,

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<v Speaker 1>which is if you don't like it, don't own it.

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<v Speaker 1>And when I say this space, I mean broadly. It's

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<v Speaker 1>true for climate, it's true for social issues. A lot

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<v Speaker 1>of times e s g. People just sell you know, tobacco,

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<v Speaker 1>sell oil, sell everything that's bad, probably gunmakers, and that

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<v Speaker 1>doesn't really help, right because someone else just buys those

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<v Speaker 1>steaks and keeps making tobacco, oil and guns. Well, when

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<v Speaker 1>you think about I think carbon decarbonization in general. I

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<v Speaker 1>think there's a real strong case to make for own

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<v Speaker 1>and engage. I mean, energy is one place, but how

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<v Speaker 1>about global greenhouse gas emissions comes from energy, transportation and agriculture.

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<v Speaker 1>Like this is the heart of the transition. When we

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<v Speaker 1>talk about the energy transition, which is, by the way,

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<v Speaker 1>a big investment opportunity for investors. That's where it's happening.

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<v Speaker 1>And our theory of changes um not just that it's

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<v Speaker 1>not just that the small green technology companies are going

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<v Speaker 1>to be the ones driving it, but that actually the

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<v Speaker 1>big traditional incumbents have to transform themselves. So that's the automakers,

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<v Speaker 1>that's the big ad companies, and that's our That's where

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<v Speaker 1>we spend our time. And I will say, um, all

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<v Speaker 1>of our engagements post xcon have been very collaborative because

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<v Speaker 1>we're not the first people to tell the c suite

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<v Speaker 1>of these large companies, Hey, there's a lot of focus

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<v Speaker 1>on decarbonization. You need to have a strategy and so

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<v Speaker 1>in some ways, I think the fact that we approach

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<v Speaker 1>it from a shareholder value perspective allows us to have

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<v Speaker 1>a really good dialogue with companies. What's real quickly thirty seconds,

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<v Speaker 1>what's the next industry that you think is should get

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<v Speaker 1>some of attention from an E s G perspective. I

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<v Speaker 1>think the demand side of decarbonization is interesting. Everyone focused

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<v Speaker 1>on oil and gas, but transportation is a really interesting one, right.

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<v Speaker 1>It's it's a move to all electric vehicles. A lot

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<v Speaker 1>of the market is focused on that, but but you

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<v Speaker 1>have to think more deeply about it. It's what are

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<v Speaker 1>the commodity inputs like lithium and aluminum that are needed

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<v Speaker 1>for that. So it's a really interesting investment opportunity. Good stuff,

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<v Speaker 1>good stuff. Yasmin, thanks so much for coming into our

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<v Speaker 1>Bloomberg Interactor Broker studio. Yasmin daya build your head of

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<v Speaker 1>E T f s and a managing director at a

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<v Speaker 1>really cool firms called Engine Number one. Is probably a

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<v Speaker 1>story behind that name as well. We'll get that, uh

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<v Speaker 1>next time our next guest. In my notes, it says

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<v Speaker 1>it was two point two billion assets under management his fund.

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<v Speaker 1>He now has over nine of the firm's assets in cash,

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<v Speaker 1>with the remaining ten in defensive fixed income. I can

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<v Speaker 1>honestly say I've never seen that before. Let's check in

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<v Speaker 1>with Phil Toes, CEO of Toes Asset Management. Phil, thanks

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<v Speaker 1>so much for joining us really appreciate it. Talk to

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<v Speaker 1>us about your portfolio here and your your cash position.

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<v Speaker 1>Where is it? Our our notes correct? Are our notes correct? Yeah?

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<v Speaker 1>So we shifted slightly in the last couple of weeks

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<v Speaker 1>and when they move up in the markets, moved us

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<v Speaker 1>into more of a round a cash position relative to

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<v Speaker 1>our earlier this year. But what what drives us there

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<v Speaker 1>isn't isn't really are thinking about the markets, but rather

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<v Speaker 1>just algorithms that are trend following, algorithms that have the

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<v Speaker 1>ability to attempt to move us into either either fixed

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<v Speaker 1>income or cash instruments. And because fixed income has been

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<v Speaker 1>doing so poorly that we've largely just been in cash.

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<v Speaker 1>But that's been in the position that we've had primarily

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<v Speaker 1>since January thirteenth of this year. So it's been a

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<v Speaker 1>it's been a good thing to just not be playing.

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<v Speaker 1>But it's like, I mean, it reminds me of Pablo Escobar.

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<v Speaker 1>He also held most of his assets in cash, and

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<v Speaker 1>the rats ate about ten percent every year. You have

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<v Speaker 1>the same problem, right, don't you lose money through uh

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<v Speaker 1>just inflation? Yeah. So if if all you're doing is

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<v Speaker 1>putting money in cash and didn't have a plan to

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<v Speaker 1>come back in then then that's exactly what would happened,

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<v Speaker 1>and inflation would eat you. But if you think about

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<v Speaker 1>the way, so to our base cases that this will

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<v Speaker 1>be a continuing bear market, and what we've seen in

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<v Speaker 1>the last couple of weeks is a fair market trap.

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<v Speaker 1>So if that, if that scenario plays out, the way

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<v Speaker 1>the markets tend to work is they move down and

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<v Speaker 1>then they even pick up more volatility. UH. And And

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<v Speaker 1>what happens across our platform, across our different funds in

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<v Speaker 1>EATS is that we have a trend following algorithm and

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<v Speaker 1>just as we exited in the early phase of this decline,

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<v Speaker 1>they would be designed to attempt to re enter in

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<v Speaker 1>the early stage of a rebound. So then via zoom

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<v Speaker 1>out and look at let's let's say this is like

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<v Speaker 1>a typical bear market and it bottoms and somewhere around

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<v Speaker 1>October of this year, UH somewhere around thirty five percent lower.

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<v Speaker 1>At that point, having been in casual of it, it

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<v Speaker 1>would have been a fantastic thing. But then you have

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<v Speaker 1>the possibility for rebound, and that, frankly, is what it's

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<v Speaker 1>all about, which is positioning yourself. You know, it's always

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<v Speaker 1>so amusing to hear people talk about buying the dip,

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<v Speaker 1>and the real question is what are they buying the

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<v Speaker 1>dip with if they remain fully invest in the whole time.

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<v Speaker 1>So yeah, yeah, the idea is to not make a

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<v Speaker 1>market call necessarily, but to position yourselves in a way

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<v Speaker 1>that address was at least the contingency that this bear

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<v Speaker 1>market will continue, and then also positions yourself to potentially

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<v Speaker 1>capture the rebound. And that's you know, this is not

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<v Speaker 1>something new for us. We've been doing this since nineties six.

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<v Speaker 1>We we saw the same kind of thing happened during

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<v Speaker 1>the Internet double burst and the financial crisis, So we're

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<v Speaker 1>we've got a long history of trying of navigated. By

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<v Speaker 1>the way, speaking of bubbles, um, dot com and housing,

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<v Speaker 1>what do you think we're look at today, especially with

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<v Speaker 1>regards to I just bought a house for more money

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<v Speaker 1>than I thought it'd ever spend on any one thing

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<v Speaker 1>in my entire life, and I'm still skeptical that I

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<v Speaker 1>can actually afford it. Yeah, So I think it's really

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<v Speaker 1>fascinating because you get, you know, get conversations like this.

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<v Speaker 1>You have a decent because little rally in the stock market,

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<v Speaker 1>and everyone just thinks, well, we're back to to life

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<v Speaker 1>as normal. But I think we're anything but that. One

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<v Speaker 1>of the most compelling you know, you mentioned housing. One

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<v Speaker 1>of the most compelling data points I've seen in the

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<v Speaker 1>last six months is the you know, the Schiller Housing

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<v Speaker 1>Price Index, which you know, for a hundred years, that

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<v Speaker 1>index range between a hundred and a hundred and twenty

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<v Speaker 1>because it's a real, real prices inflation, justin prices for houses.

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<v Speaker 1>And then we saw that shocking increase of the index

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<v Speaker 1>up to two hundred during the during the two thousand

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<v Speaker 1>seven and then it came back down again. But right

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<v Speaker 1>now we're at two twenty. So in real terms, we're

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<v Speaker 1>higher with these historically, and so that that, you know,

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<v Speaker 1>compare that with the fact that we're in the top

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<v Speaker 1>quintile in stock valuations. But here's the big one. Here's

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<v Speaker 1>the big one, which is that the said has changed

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<v Speaker 1>his motivations and where primarily over the last you know,

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<v Speaker 1>the say, thirteen years, that said has actively tried to

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<v Speaker 1>avoid financial market declines. Now you can actually argue that

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<v Speaker 1>because of demand pull inflation, which effectively means that people

0:11:29.400 --> 0:11:31.880
<v Speaker 1>are buying so much stuff because they have so much money.

0:11:32.880 --> 0:11:35.880
<v Speaker 1>You know, Now the said, you know, maybe implicitly they're

0:11:35.880 --> 0:11:37.360
<v Speaker 1>not coming out and saying that, but they may have

0:11:37.440 --> 0:11:42.319
<v Speaker 1>a motivation to pop the bubble. And so that's a

0:11:42.360 --> 0:11:45.120
<v Speaker 1>completely different scenario, completely different world to live in. So

0:11:45.280 --> 0:11:47.280
<v Speaker 1>instead of it being like fourth quarter of two thousand

0:11:47.280 --> 0:11:52.079
<v Speaker 1>and eighteen where said they're saving the day, now the

0:11:52.160 --> 0:11:56.079
<v Speaker 1>said may uh, you know, have have some kind of

0:11:56.080 --> 0:11:59.520
<v Speaker 1>an incentive to actually see financial asset prices, home prices

0:11:59.559 --> 0:12:03.560
<v Speaker 1>come to more reasonable levels as a way of addressing inflation. Absolutely,

0:12:03.760 --> 0:12:06.160
<v Speaker 1>I feel just third thirty seconds, it feels to me

0:12:06.480 --> 0:12:09.320
<v Speaker 1>like your firm and your strategy tries to time the market.

0:12:09.640 --> 0:12:13.319
<v Speaker 1>Is that right, Well, so we we we do. We

0:12:13.400 --> 0:12:16.160
<v Speaker 1>can't extu the markets. We also use options hedging, but

0:12:16.360 --> 0:12:19.000
<v Speaker 1>we would say no, not really, because most market timers

0:12:19.040 --> 0:12:20.800
<v Speaker 1>are trying to make a market call and predict what's

0:12:20.840 --> 0:12:23.640
<v Speaker 1>going to happen, and that tends to not go well often.

0:12:24.320 --> 0:12:26.160
<v Speaker 1>So instead of doing that, all we're doing is just

0:12:26.400 --> 0:12:29.520
<v Speaker 1>falling trend following algorithms, and so that tends to be

0:12:29.880 --> 0:12:34.000
<v Speaker 1>in our history, a relatively reliable way of doing two things,

0:12:34.040 --> 0:12:35.719
<v Speaker 1>which is getting out of the way of the real

0:12:35.800 --> 0:12:39.560
<v Speaker 1>train wrecks, but also participating in what you know generally

0:12:39.679 --> 0:12:41.959
<v Speaker 1>is just rising markets, and that's what markets do nine

0:12:42.440 --> 0:12:45.120
<v Speaker 1>of the time. So the idea is is not not

0:12:45.320 --> 0:12:47.480
<v Speaker 1>making a market call, which is not market timing, but

0:12:47.559 --> 0:12:51.640
<v Speaker 1>actually positioning yourself in the way address contingencies. All right,

0:12:51.679 --> 0:12:53.920
<v Speaker 1>So great stuff, man, thanks for coming on and really

0:12:53.960 --> 0:12:58.400
<v Speaker 1>appreciate a really interesting kind of you, even behavior and investing,

0:12:58.440 --> 0:12:59.800
<v Speaker 1>which I wanted to get to. So I hope we

0:12:59.840 --> 0:13:01.520
<v Speaker 1>can get you on again, Phil, because I know you

0:13:01.559 --> 0:13:04.719
<v Speaker 1>were a founder of the Behavioral Investing Institute, and I

0:13:04.800 --> 0:13:07.280
<v Speaker 1>think that's that sounds pretty pretty interesting as well as

0:13:07.320 --> 0:13:12.560
<v Speaker 1>released to investing. All Right, I just typed an FB

0:13:12.880 --> 0:13:15.719
<v Speaker 1>equity go into my terminal for the Facebook and I

0:13:15.800 --> 0:13:19.400
<v Speaker 1>got nothing. Nothing. It says it changed it's symbol today

0:13:19.480 --> 0:13:23.439
<v Speaker 1>to meta, so not gonna type in meta equity go

0:13:23.840 --> 0:13:25.439
<v Speaker 1>and I get Okay, there we go. I got my

0:13:25.520 --> 0:13:27.880
<v Speaker 1>ticker there, and all thats two more letters. It used

0:13:27.920 --> 0:13:30.360
<v Speaker 1>to be, dude, You remember when you get smaller, Yes,

0:13:30.480 --> 0:13:32.360
<v Speaker 1>to get down to that, if you had one letter

0:13:32.800 --> 0:13:36.679
<v Speaker 1>that was the most coveted of all tickers, like if

0:13:36.679 --> 0:13:39.520
<v Speaker 1>you were t then people stopped calling you anything else.

0:13:39.559 --> 0:13:42.760
<v Speaker 1>They just called you t right ford, all that kind

0:13:42.760 --> 0:13:44.640
<v Speaker 1>of good stuff. All right, So I'm blaming Matt Bloxham.

0:13:44.760 --> 0:13:46.839
<v Speaker 1>He's a t M T anlost to Bloomberg Intelligence. He's

0:13:46.840 --> 0:13:49.559
<v Speaker 1>based in London, runs all of our t MT stuff

0:13:49.640 --> 0:13:52.880
<v Speaker 1>over there. Uh we snagged him about five years ago,

0:13:54.160 --> 0:13:59.240
<v Speaker 1>don't remember. Uh, telecoms, tech media and technology. That's right,

0:13:59.480 --> 0:14:01.960
<v Speaker 1>that people still use that moniker mat is that still?

0:14:02.160 --> 0:14:04.320
<v Speaker 1>I thought that was a thing from the nineties. They

0:14:04.360 --> 0:14:06.960
<v Speaker 1>still do, but I still every day you get the question,

0:14:07.080 --> 0:14:10.240
<v Speaker 1>what is what's what's that team and the team? That's right?

0:14:10.400 --> 0:14:12.640
<v Speaker 1>So so Matt talk to us about it. Let's just

0:14:12.679 --> 0:14:15.640
<v Speaker 1>start with with Facebook. This is a meta free studio,

0:14:15.679 --> 0:14:19.480
<v Speaker 1>so what we can still call it Facebook is the

0:14:19.760 --> 0:14:23.200
<v Speaker 1>market buying off on this transformation. Then Mr Zuckerberg wants

0:14:23.280 --> 0:14:26.280
<v Speaker 1>to take meta platforms through over the next I don't know,

0:14:26.400 --> 0:14:28.600
<v Speaker 1>five to ten years. Yeah, I guess not. You know,

0:14:28.640 --> 0:14:31.840
<v Speaker 1>when the share prices down over the last twelve months,

0:14:32.080 --> 0:14:35.760
<v Speaker 1>I guess not. Um And I guess you know they've

0:14:35.800 --> 0:14:38.160
<v Speaker 1>got bigger near term issues, you know that. I mean,

0:14:38.200 --> 0:14:40.560
<v Speaker 1>obviously Instagram has been the big growth engine for them,

0:14:40.600 --> 0:14:44.280
<v Speaker 1>and TikTok is adding huge amounts of pressure to the

0:14:44.360 --> 0:14:46.760
<v Speaker 1>ad revenues they can generate from that. So I think

0:14:46.800 --> 0:14:48.840
<v Speaker 1>they need to kind of sort out the current business first.

0:14:48.920 --> 0:14:50.720
<v Speaker 1>And you know, I think that the metaverse, if it

0:14:50.760 --> 0:14:53.200
<v Speaker 1>ever becomes more than just you know, the current kind

0:14:53.240 --> 0:14:56.520
<v Speaker 1>of gaming environment it really is today, UM, then there's

0:14:56.520 --> 0:14:57.720
<v Speaker 1>going to be a lot of rivals for it. And

0:14:57.760 --> 0:15:02.520
<v Speaker 1>I think your historically Facebook UM gained its success by

0:15:02.600 --> 0:15:06.240
<v Speaker 1>acquiring businesses and building them. I guess with the new

0:15:06.320 --> 0:15:09.360
<v Speaker 1>constraints around um M and A, it's a question mark

0:15:09.360 --> 0:15:10.960
<v Speaker 1>about whether they will be able to kind of follow

0:15:11.000 --> 0:15:14.560
<v Speaker 1>that and whether they can successfully execute an organic struct

0:15:14.760 --> 0:15:18.840
<v Speaker 1>in that area. I have questioned Facebook's ability to actually

0:15:18.960 --> 0:15:22.320
<v Speaker 1>be the main player in the metaverse ten twenty years

0:15:22.400 --> 0:15:24.160
<v Speaker 1>from now, And I got a lot of pushback on

0:15:24.200 --> 0:15:26.200
<v Speaker 1>Twitter from people who said, you know what, they have

0:15:26.280 --> 0:15:29.680
<v Speaker 1>invested a ton you know, they bought Oculus Rift, which

0:15:29.840 --> 0:15:33.320
<v Speaker 1>was the VR headset. You know, they've done stuff, and

0:15:33.360 --> 0:15:36.800
<v Speaker 1>they're spending money UM to be a major player. Do

0:15:36.840 --> 0:15:39.360
<v Speaker 1>you agree, UM? I mean, I agree that they've been

0:15:39.360 --> 0:15:41.120
<v Speaker 1>spending a ton of money, But then yeah, a lot

0:15:41.160 --> 0:15:42.800
<v Speaker 1>of other people are spending a ton of money too,

0:15:42.880 --> 0:15:45.760
<v Speaker 1>and it's you know, completely open field UM. And I

0:15:45.800 --> 0:15:48.640
<v Speaker 1>think we've seen with every big technology wave, it's been

0:15:48.680 --> 0:15:51.840
<v Speaker 1>a new player that nobody saw coming that's ended up

0:15:51.920 --> 0:15:54.280
<v Speaker 1>being the big player. I mean that that's essentially what

0:15:54.400 --> 0:15:57.440
<v Speaker 1>Facebook is. You know, it was the current the current

0:15:57.960 --> 0:16:00.400
<v Speaker 1>king of the last technology cycle. I mean, I think

0:16:00.440 --> 0:16:02.360
<v Speaker 1>what's going to be interesting for the metaverse as a

0:16:02.440 --> 0:16:04.960
<v Speaker 1>whole is what Apple does with this kind of room

0:16:05.000 --> 0:16:07.040
<v Speaker 1>with a r VR headset. And if it comes out

0:16:07.120 --> 0:16:09.640
<v Speaker 1>next year, you know Apple's weight. You know, we'll create

0:16:09.760 --> 0:16:13.280
<v Speaker 1>this I think so called halo effect for everybody. So

0:16:13.800 --> 0:16:15.880
<v Speaker 1>maybe that will help Facebook, but you know they're going

0:16:15.920 --> 0:16:19.920
<v Speaker 1>to face a lot of UM current and non existent

0:16:20.360 --> 0:16:22.960
<v Speaker 1>UM competitors, you know, even the next three to five years.

0:16:23.160 --> 0:16:27.200
<v Speaker 1>Think there's also I think I think there's a conception

0:16:27.280 --> 0:16:30.800
<v Speaker 1>of what the metaverse is that requires you to put

0:16:30.880 --> 0:16:34.200
<v Speaker 1>on a headset and something that blocks out the rest

0:16:34.240 --> 0:16:37.480
<v Speaker 1>of the world. But I feel like we've already gone

0:16:37.560 --> 0:16:40.440
<v Speaker 1>beyond dipping our toe into the pool of metaverse. Like

0:16:40.760 --> 0:16:44.000
<v Speaker 1>if you spend all day working from home, you're on Zoom,

0:16:44.280 --> 0:16:48.400
<v Speaker 1>you're on Slack or whatever, and then you spend your evenings, um,

0:16:48.560 --> 0:16:51.360
<v Speaker 1>you know, shooting people on call of duty, and all

0:16:51.400 --> 0:16:54.600
<v Speaker 1>of your frends are from forums You're watching other people

0:16:54.800 --> 0:16:57.960
<v Speaker 1>shoot people on call of duty, Like aren't we already

0:16:58.120 --> 0:17:00.520
<v Speaker 1>in a sense living in the metaverse. I think there

0:17:00.560 --> 0:17:04.280
<v Speaker 1>are multiple meta verses essentially in another areas dating. You know,

0:17:04.280 --> 0:17:06.600
<v Speaker 1>a lot of the big dating platforms are moving into

0:17:06.640 --> 0:17:10.440
<v Speaker 1>a kind of VR environment. Yeah, you don't even have

0:17:10.640 --> 0:17:13.520
<v Speaker 1>to go out of your house, and neither does she

0:17:14.040 --> 0:17:17.679
<v Speaker 1>or he or whatever the person identifies as. You can

0:17:17.760 --> 0:17:21.760
<v Speaker 1>spend some money on virtual gifts as you know. Crazy.

0:17:22.000 --> 0:17:24.200
<v Speaker 1>All right, I'm honest with you. I'm done with this

0:17:24.240 --> 0:17:27.840
<v Speaker 1>whole conversation. Let's talk music. Spotify. How to Capital Markets?

0:17:27.920 --> 0:17:29.960
<v Speaker 1>Day said they got their analysts, they got their investors

0:17:30.080 --> 0:17:33.159
<v Speaker 1>coming in. There's another stock. You know, you talk to

0:17:33.240 --> 0:17:37.240
<v Speaker 1>these high flying technology names. It's all fifty percent this year.

0:17:38.440 --> 0:17:40.600
<v Speaker 1>What's the story with Spotify? I mean, I thought the

0:17:40.680 --> 0:17:43.320
<v Speaker 1>future of music was kind of renting this stuff. Yeah,

0:17:43.359 --> 0:17:44.879
<v Speaker 1>and you know, I think it's I guess one of

0:17:44.920 --> 0:17:48.080
<v Speaker 1>the near term worreas that people have had is that,

0:17:48.320 --> 0:17:52.040
<v Speaker 1>in the wake of the whole Netflix subscribe by growth

0:17:52.119 --> 0:17:55.399
<v Speaker 1>slowing um that perhaps Spotify is a similar kind of

0:17:55.440 --> 0:17:58.880
<v Speaker 1>platform where there's going to be um a challenge there.

0:17:59.000 --> 0:18:03.080
<v Speaker 1>I think Spotify is a bit different because unlike video

0:18:03.320 --> 0:18:06.600
<v Speaker 1>subscription services, where essential you've got exclusive, unique content and

0:18:06.680 --> 0:18:09.320
<v Speaker 1>you've spent tons of months to build it. Essence, you

0:18:09.400 --> 0:18:12.360
<v Speaker 1>can get most music across all platforms. So if it's

0:18:12.400 --> 0:18:15.040
<v Speaker 1>more about the user interface and the kind of platform itself,

0:18:15.320 --> 0:18:19.040
<v Speaker 1>and your Spotify is a very strong, compelling platform. So

0:18:19.080 --> 0:18:21.800
<v Speaker 1>I think they don't face the same kind of stagnation

0:18:21.960 --> 0:18:26.160
<v Speaker 1>risks that we've seen with Netflix, and yesterday they were

0:18:26.240 --> 0:18:29.200
<v Speaker 1>incredibly bullish on the mid term. They've got, you know,

0:18:29.560 --> 0:18:31.880
<v Speaker 1>give or take half a billion users today and want

0:18:31.920 --> 0:18:34.440
<v Speaker 1>to get that to a billion over the long term.

0:18:34.720 --> 0:18:36.320
<v Speaker 1>I think you're one of the One of the bigger

0:18:36.400 --> 0:18:39.600
<v Speaker 1>issues that they've had recently is the drag on profits

0:18:39.720 --> 0:18:43.560
<v Speaker 1>from there for a into podcasts. They're not even making

0:18:43.600 --> 0:18:46.640
<v Speaker 1>a gross margin on that today, and they were trying

0:18:46.680 --> 0:18:48.560
<v Speaker 1>to reassure people that they'll get to some kind of

0:18:48.600 --> 0:18:51.800
<v Speaker 1>gross margin in the next year or two. Um. You know,

0:18:51.840 --> 0:18:54.119
<v Speaker 1>I think that the shares moved a little bit possibly yesterday,

0:18:54.160 --> 0:18:55.400
<v Speaker 1>but you know, I think there's still a long way

0:18:55.440 --> 0:18:58.480
<v Speaker 1>for them to go. To the podcasting business everybody in

0:18:58.560 --> 0:19:03.560
<v Speaker 1>their Jack introduced a new podcast yesterday, Dak Shepherd of

0:19:03.880 --> 0:19:05.720
<v Speaker 1>you Know, Armchair Expert, which is arguably one of the

0:19:05.760 --> 0:19:10.119
<v Speaker 1>best podcasts that there is with his wife Kristen bell Um,

0:19:10.240 --> 0:19:15.080
<v Speaker 1>the actress famous for Frozen among other things. Um, and

0:19:15.080 --> 0:19:17.720
<v Speaker 1>they're going to give relationship advice and do I pay

0:19:17.800 --> 0:19:19.399
<v Speaker 1>for this? Is just all that support you have to

0:19:19.440 --> 0:19:22.359
<v Speaker 1>be on Spotify together, that's the idea, right, And Armchair

0:19:22.400 --> 0:19:25.920
<v Speaker 1>Expert moved to Spotify. I think Obama is. I guess

0:19:25.960 --> 0:19:28.280
<v Speaker 1>he was on Armchair Expert, but he's also got a

0:19:28.359 --> 0:19:31.000
<v Speaker 1>deal with Spotify and he has a lot on there

0:19:31.080 --> 0:19:34.000
<v Speaker 1>beyond just music, right, yeah, exactly. But it's it's a

0:19:34.119 --> 0:19:36.320
<v Speaker 1>very different model where we can with the music. There's

0:19:36.359 --> 0:19:39.800
<v Speaker 1>that they have a pay away to the music platforms,

0:19:39.880 --> 0:19:42.040
<v Speaker 1>so there's kind of less risk around it, whereas you know,

0:19:42.400 --> 0:19:46.760
<v Speaker 1>the podcast taken them into purchase a kind of content acquisition,

0:19:46.800 --> 0:19:48.920
<v Speaker 1>if you like, so a bit more like a PATV platform,

0:19:49.320 --> 0:19:52.320
<v Speaker 1>and you're kind of risking, you know, hundreds of millions

0:19:52.359 --> 0:19:54.960
<v Speaker 1>of dollars essentially just to try and kind of generate

0:19:55.119 --> 0:19:58.679
<v Speaker 1>more users and keep people on the platform. So it's

0:19:58.760 --> 0:20:01.119
<v Speaker 1>quite a different business model, and I guess it's spook

0:20:01.200 --> 0:20:03.440
<v Speaker 1>people a bit, you know that that it's a drag

0:20:03.560 --> 0:20:08.560
<v Speaker 1>on earnings podcasting in general. How big is it is

0:20:08.600 --> 0:20:11.960
<v Speaker 1>that profitable business? Is it? Something that Um, well, I

0:20:12.000 --> 0:20:15.480
<v Speaker 1>think it is for some of the podcasters, right, made

0:20:15.800 --> 0:20:17.560
<v Speaker 1>a lot of money, and that's what pushed a lot.

0:20:17.600 --> 0:20:19.240
<v Speaker 1>In fact, I think, actually, this is what I was

0:20:19.280 --> 0:20:22.520
<v Speaker 1>thinking of. Obama has a deal with Spotify, but they're

0:20:22.640 --> 0:20:25.600
<v Speaker 1>ending it now because of Neil Young and all these

0:20:25.640 --> 0:20:27.960
<v Speaker 1>people who are mad about Joe Rogan saying like you

0:20:28.080 --> 0:20:33.560
<v Speaker 1>can feel COVID by drinking horsty Warmer. Yeah, yeah, that's

0:20:33.600 --> 0:20:34.920
<v Speaker 1>what I mean. As you said, I think that the

0:20:35.000 --> 0:20:38.480
<v Speaker 1>big winners, um right now, all the all the big,

0:20:38.720 --> 0:20:40.600
<v Speaker 1>the big podcast is actually I think there was a

0:20:40.680 --> 0:20:43.080
<v Speaker 1>story um earlier in the week that she's even some

0:20:43.200 --> 0:20:46.400
<v Speaker 1>of the smaller podcast is generating you know, relatively big

0:20:46.440 --> 0:20:51.720
<v Speaker 1>bucks all advertising. Yep, yep. Interesting. All right, Matt, don't

0:20:51.760 --> 0:20:53.720
<v Speaker 1>we have a podcast Bloomberg Market? We do? We should.

0:20:53.920 --> 0:20:56.640
<v Speaker 1>We should get some some big ad people on there.

0:20:57.359 --> 0:20:59.359
<v Speaker 1>I'll make a few phone calls. Get that going, all right,

0:20:59.400 --> 0:21:01.240
<v Speaker 1>Matt Blocks, and thanks so much for joining us here

0:21:01.240 --> 0:21:04.199
<v Speaker 1>in our Bloomberg Interactive Broker studio. It's in how long

0:21:04.200 --> 0:21:07.120
<v Speaker 1>are you here? I'm here until tomorrow, you think, PARTI,

0:21:07.720 --> 0:21:10.320
<v Speaker 1>And he flies back to London Queen Victoria Street, which

0:21:10.359 --> 0:21:14.000
<v Speaker 1>is our London office which is just so awesome. Um.

0:21:14.240 --> 0:21:16.119
<v Speaker 1>It's just an amazing right in the city of London,

0:21:16.200 --> 0:21:19.040
<v Speaker 1>right by the Bank of England, right smack down there.

0:21:19.200 --> 0:21:20.840
<v Speaker 1>And there's a Greg right down the street, so you

0:21:20.880 --> 0:21:23.920
<v Speaker 1>can always get good sausage roll. Yeah. There you go,

0:21:24.320 --> 0:21:26.520
<v Speaker 1>all right at Blocks and t mt Annals Bloomberg intelligence

0:21:26.520 --> 0:21:29.119
<v Speaker 1>student joining us year. We appreciate getting the latest on

0:21:29.200 --> 0:21:33.040
<v Speaker 1>all things tech media and telecom. Lots to talk about.

0:21:33.040 --> 0:21:39.640
<v Speaker 1>They're always June is Pride month and a month when

0:21:39.960 --> 0:21:43.080
<v Speaker 1>we're focusing on equality issues here at Bloomberg. Today we

0:21:43.119 --> 0:21:45.679
<v Speaker 1>speak with Jape Rice and chief economist at Wells far

0:21:45.720 --> 0:21:49.640
<v Speaker 1>going to talk about the economic influence of the LGBT community.

0:21:49.640 --> 0:21:52.600
<v Speaker 1>And I must note that Jay was educated down the

0:21:52.720 --> 0:21:55.760
<v Speaker 1>road from my Duke University at some school down and

0:21:56.160 --> 0:21:58.399
<v Speaker 1>I think it's Chapel Hill or something. The name escapes me,

0:21:58.520 --> 0:22:00.480
<v Speaker 1>but maybe we'll get to it at some point. Jay,

0:22:00.760 --> 0:22:03.160
<v Speaker 1>Thanks for joining us here talk to us about Wells

0:22:03.200 --> 0:22:06.760
<v Speaker 1>Fargo and how you guys or financial services in general

0:22:07.160 --> 0:22:11.159
<v Speaker 1>kind of thinks about the LGBT community. It's it's pretty big. Um.

0:22:11.280 --> 0:22:13.600
<v Speaker 1>I'm just wondering growing and growing and wonder if they

0:22:13.640 --> 0:22:16.440
<v Speaker 1>get you know, kind of the um, the focus for

0:22:16.520 --> 0:22:20.520
<v Speaker 1>maybe the financial services business. Well, that's that's a good question, Paul.

0:22:20.560 --> 0:22:22.479
<v Speaker 1>And and so, first of all, it is it has

0:22:22.560 --> 0:22:25.560
<v Speaker 1>been and growing. Um. So just put just a level

0:22:25.600 --> 0:22:28.520
<v Speaker 1>set here, um And and yes it's kind of vary,

0:22:28.640 --> 0:22:30.600
<v Speaker 1>but you know, if you look at the Gallop data,

0:22:30.800 --> 0:22:34.879
<v Speaker 1>it would uh be around seven percent or so of

0:22:35.000 --> 0:22:37.440
<v Speaker 1>the population today. Put that in perspective, and that was

0:22:37.480 --> 0:22:39.840
<v Speaker 1>only three and a half percent, you know, about a

0:22:39.920 --> 0:22:43.280
<v Speaker 1>decade ago. So it certainly is growing. And you know,

0:22:43.320 --> 0:22:45.320
<v Speaker 1>whether or not it gets the full attention of the

0:22:45.359 --> 0:22:48.000
<v Speaker 1>financial service community at this point, I think is an

0:22:48.080 --> 0:22:51.760
<v Speaker 1>open question. But this is also a young population and

0:22:51.880 --> 0:22:55.560
<v Speaker 1>as that um and well educated, and as that population

0:22:55.640 --> 0:22:59.199
<v Speaker 1>continues to grow, uh, with the young population, they're going

0:22:59.280 --> 0:23:02.160
<v Speaker 1>to be more financial services and you know, other sorts

0:23:02.200 --> 0:23:05.160
<v Speaker 1>of of goods and services as well. Well. It's also

0:23:05.440 --> 0:23:09.679
<v Speaker 1>an incredibly diverse group. I mean, there are a lot

0:23:09.760 --> 0:23:13.240
<v Speaker 1>of letters there, and each one person in this community

0:23:13.280 --> 0:23:16.720
<v Speaker 1>is an individual human. Is it hard to market to

0:23:17.280 --> 0:23:21.200
<v Speaker 1>or offer financial services to a group like this when

0:23:21.240 --> 0:23:26.280
<v Speaker 1>it's made up of such unique individuals? Yeah, I think

0:23:26.359 --> 0:23:29.320
<v Speaker 1>it is. And and and part of the part of

0:23:29.480 --> 0:23:32.600
<v Speaker 1>the issue I think is so not only is you know,

0:23:32.720 --> 0:23:37.959
<v Speaker 1>it's very diverse in terms of different um sex, sexual orientation,

0:23:38.280 --> 0:23:43.040
<v Speaker 1>but it's also the data isn't all that really um

0:23:43.359 --> 0:23:46.160
<v Speaker 1>good right now, the best day that we have really

0:23:46.200 --> 0:23:49.880
<v Speaker 1>would be on individuals who are lesbian, gay, and bisexual.

0:23:50.240 --> 0:23:53.840
<v Speaker 1>When it comes to you know, trans or queer or

0:23:54.000 --> 0:23:57.440
<v Speaker 1>other sorts of areas, that data isn't as good and

0:23:57.880 --> 0:24:00.600
<v Speaker 1>and probably because what you're looking at is you're looking

0:24:00.680 --> 0:24:05.640
<v Speaker 1>at self identification, and for many reasons, many of these

0:24:05.720 --> 0:24:08.720
<v Speaker 1>individuals don't really want to self identify as that. So

0:24:09.200 --> 0:24:13.520
<v Speaker 1>whereas you may have really good data on say white

0:24:13.640 --> 0:24:17.600
<v Speaker 1>males or or black females or et cetera, UM, the

0:24:17.720 --> 0:24:20.760
<v Speaker 1>data in this community is not quite as as robust

0:24:20.880 --> 0:24:25.280
<v Speaker 1>as it is in other areas. J From I guess

0:24:25.280 --> 0:24:28.600
<v Speaker 1>an economic demographic perspective, what do we know about the

0:24:28.800 --> 0:24:33.040
<v Speaker 1>LGBT population in terms of you know, educations and incomes

0:24:33.080 --> 0:24:37.080
<v Speaker 1>and things like that. Yeah, So so again, what we're

0:24:37.080 --> 0:24:39.320
<v Speaker 1>pot we looked at here and in the data we

0:24:39.440 --> 0:24:43.360
<v Speaker 1>have would be on individuals who identify as lesbian, gay,

0:24:43.600 --> 0:24:46.680
<v Speaker 1>and bisexual. And I would say that that that group

0:24:46.760 --> 0:24:51.800
<v Speaker 1>of people is more educated than the overall population. So well,

0:24:52.040 --> 0:24:54.440
<v Speaker 1>individuals have to be friend to get right, if you

0:24:54.720 --> 0:24:57.359
<v Speaker 1>if you have more income, you know that if you

0:24:57.520 --> 0:25:01.600
<v Speaker 1>feel secure enough in your environment that if you feel

0:25:01.680 --> 0:25:06.080
<v Speaker 1>safe enough to identify as one of these as part

0:25:06.119 --> 0:25:08.359
<v Speaker 1>of the group that's discriminated against like this from the

0:25:08.440 --> 0:25:12.160
<v Speaker 1>get go, you're automatically gonna be likely to have more

0:25:12.240 --> 0:25:16.200
<v Speaker 1>wealth and more education, right, I think I think that's right. Yeah,

0:25:16.600 --> 0:25:18.760
<v Speaker 1>And you know, again it's it's hard to parse all

0:25:18.880 --> 0:25:21.760
<v Speaker 1>that out. But what we do know are you know,

0:25:21.960 --> 0:25:25.000
<v Speaker 1>a lesbian, gay, and bisexual individuals. If you look at

0:25:25.040 --> 0:25:27.919
<v Speaker 1>the people who have a bachelor's degree, that's roughly twenty

0:25:28.040 --> 0:25:32.440
<v Speaker 1>seven of that community um. The overall population that's about

0:25:33.920 --> 0:25:36.639
<v Speaker 1>And then when you look at post bachelor so that

0:25:36.680 --> 0:25:40.919
<v Speaker 1>would be master's, pH d. Professional degree, you're looking at

0:25:41.119 --> 0:25:45.600
<v Speaker 1>more than twenty and that's five percentage points higher than

0:25:45.680 --> 0:25:50.600
<v Speaker 1>the overall population. And consequently, UH, these individuals tend to

0:25:50.680 --> 0:25:54.159
<v Speaker 1>have higher income UM in general than you know, the

0:25:54.280 --> 0:26:00.639
<v Speaker 1>overall population. JA any geographic diversify K should there. I mean,

0:26:00.760 --> 0:26:04.040
<v Speaker 1>I think the expectation or the supposition is that maybe

0:26:04.119 --> 0:26:07.640
<v Speaker 1>more on the coastal UH cities for example in New

0:26:07.720 --> 0:26:09.800
<v Speaker 1>York and San Francisco, might have a higher percentage is

0:26:10.000 --> 0:26:13.480
<v Speaker 1>that what your data shows. Yeah, so we didn't look

0:26:13.480 --> 0:26:16.880
<v Speaker 1>at it in terms of metropolitan statistical areas per set.

0:26:17.320 --> 0:26:19.159
<v Speaker 1>We looked at it in terms of states, and the

0:26:19.240 --> 0:26:21.199
<v Speaker 1>District of Columbia got it. And when you look at

0:26:21.240 --> 0:26:25.520
<v Speaker 1>it there Washington, d C. You know, so the overall

0:26:25.600 --> 0:26:30.320
<v Speaker 1>average again is somewhere seven eight percent outside of Washington.

0:26:30.440 --> 0:26:33.200
<v Speaker 1>You see, it's you know, these individuals are going to

0:26:33.240 --> 0:26:36.680
<v Speaker 1>be concentrated in you know, the West Coast, um, in

0:26:36.760 --> 0:26:41.399
<v Speaker 1>the Upper Midwest, in the Northeast. But that's said every

0:26:41.520 --> 0:26:45.840
<v Speaker 1>state in the in the United States, UM has individuals

0:26:45.880 --> 0:26:49.480
<v Speaker 1>who who are identified with this community. Great stuff, all right, Jay,

0:26:49.480 --> 0:26:51.320
<v Speaker 1>thanks so much for joining us. They're really fascinating and

0:26:51.359 --> 0:26:53.840
<v Speaker 1>that you guys have done a lot of economic research

0:26:54.280 --> 0:26:58.000
<v Speaker 1>on this community. Jay Brice and Managing director and chief

0:26:58.080 --> 0:27:01.360
<v Speaker 1>economist at Wells Fargo. But I think it's a community

0:27:01.480 --> 0:27:05.760
<v Speaker 1>that hasn't really been addressed by the financial industry. Right,

0:27:05.840 --> 0:27:08.919
<v Speaker 1>so there's a lot of money at stake there, UM

0:27:09.440 --> 0:27:13.520
<v Speaker 1>for the bank that can crack this nut first or

0:27:14.119 --> 0:27:17.680
<v Speaker 1>or best right UM. And Jay is a great uh

0:27:18.640 --> 0:27:21.280
<v Speaker 1>resource to have on because not only is he a

0:27:21.280 --> 0:27:23.640
<v Speaker 1>managing director in chief economist at Wells Fargo, but he's

0:27:23.680 --> 0:27:27.439
<v Speaker 1>also been an adjunct professor at a very regionally diverse

0:27:27.520 --> 0:27:32.000
<v Speaker 1>group of University of Alabama, at North Carolina, at Johns Hopkins,

0:27:32.040 --> 0:27:36.320
<v Speaker 1>and Georgetown. So great to get everything from Jay. Thanks

0:27:36.359 --> 0:27:39.760
<v Speaker 1>for listening to the Bloomberg Markets podcast. You can subscribe

0:27:39.840 --> 0:27:43.520
<v Speaker 1>and listen to interviews with Apple Podcasts or whatever podcast

0:27:43.600 --> 0:27:47.119
<v Speaker 1>platform you prefer. I'm Matt Miller. I'm on Twitter at

0:27:47.200 --> 0:27:50.760
<v Speaker 1>Matt Miller three pt on false Sweeney I'm on Twitter

0:27:50.880 --> 0:27:53.680
<v Speaker 1>at pt Sweeney Before the podcast. You can always catch

0:27:53.760 --> 0:27:55.320
<v Speaker 1>us worldwide at Bloomberg Radio