WEBVTT - Sébastien Page on Smart Asset Allocation

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<v Speaker 1>This is Masters in Business with Barry Ridholts on Bloomberg Radio.

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<v Speaker 1>This week on the podcast, I have an extra special guest.

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<v Speaker 1>His name is Sebastian Page. He is the head of

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<v Speaker 1>multi asset investing at investing giant hero Price. They run

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<v Speaker 1>about one point three trillion dollars. He runs about three

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<v Speaker 1>hundred and sixty billion of it. This really is a

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<v Speaker 1>master class on asset allocation, diversification, risk management, and the

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<v Speaker 1>concept of expected returns versus expected risk. As it turns out,

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<v Speaker 1>it's easier to predict risk than it is to predict returns.

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<v Speaker 1>I don't know what else I can say about this

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<v Speaker 1>other than if you are an asset allocator, a wealth manager,

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<v Speaker 1>anybody who's thinking about managing assets over the next ten,

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<v Speaker 1>twenty thirty years, then you're gonna find this to be

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<v Speaker 1>an absolutely fascinating conversation. So, with no further ado, my

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<v Speaker 1>interview of Sebastian Page of tiro Price. This is Masters

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<v Speaker 1>in Business with Barry Ridholts on Bloomberg Radio. My extra

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<v Speaker 1>special guest this week is Sebastian Page. He is the

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<v Speaker 1>head of Global multi Assets at tiro Price. His group

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<v Speaker 1>runs about three hundred and sixty three billion dollars of

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<v Speaker 1>the total one point three trillion that tiro Price has

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<v Speaker 1>under management. He is the author of Beyond Diversification, What

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<v Speaker 1>Every Investor Needs to Know About Asset Allocation and co

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<v Speaker 1>author of Factor Investing an Asset Allocation Sebastian Page. Welcome

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<v Speaker 1>to Bloomberg. Thank you, Barry, Thank you for inviting me.

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<v Speaker 1>I've been looking forward to speaking with you since March.

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<v Speaker 1>You were quite literally the very first show. The pandemic

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<v Speaker 1>led us to have to reschedule, and we'll talk a

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<v Speaker 1>little bit about the pandemic later, but I want to

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<v Speaker 1>dive in to your your job, your head of Global

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<v Speaker 1>multi Assets, which is a huge role. Tell us a

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<v Speaker 1>little bit about your day to day responsibilities. You know,

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<v Speaker 1>it's the perfect job for me. I absolutely love it.

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<v Speaker 1>Running a large global investment organization, in this case over

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<v Speaker 1>three hundred and sixty billion and a u M over

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<v Speaker 1>two hundred different portfolios. It involves not only, of course,

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<v Speaker 1>investment oversight, staying on top of capital markets, consuming vast

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<v Speaker 1>amounts of research and so on, but also running the business,

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<v Speaker 1>setting a strategic vision, making sure it's executed well, recruiting

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<v Speaker 1>and developing talent, managing product development projects, and also I'm

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<v Speaker 1>a member of Hero's management committee, where I'm representing our

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<v Speaker 1>division and helping manage our entire firms. So the job

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<v Speaker 1>is very broad, and I learned in something every day. Verry,

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<v Speaker 1>I know, you run your own successful company and you're

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<v Speaker 1>a thought leader, so I'm guessing it's it's a very

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<v Speaker 1>broad set of responsibilities too, So in that sense, running

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<v Speaker 1>an investment division in a large but agile company is

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<v Speaker 1>probably not that different. You know, It's funny when I

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<v Speaker 1>discuss what I do with relatives. They're so impressed by

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<v Speaker 1>two billion dollars and I always laugh and have to explain, no, no,

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<v Speaker 1>you don't understand. Two billion dollars is nothing. Big shops

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<v Speaker 1>are running hundreds of billions and trillions of dollars. So

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<v Speaker 1>given the size of the assets you manage, how do

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<v Speaker 1>you think about multi assets? What? What's the thought process

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<v Speaker 1>like when you're assembling an investment posture. Are you thinking

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<v Speaker 1>about stock picking or different sectors or global regions? How

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<v Speaker 1>does a multi asset portfolio come together? It's all about

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<v Speaker 1>putting all the capabilities of the FIR together in one

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<v Speaker 1>neat package or vehicle for different clients. So we put

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<v Speaker 1>together capabilities across tactical asset allocation, think about decisions to

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<v Speaker 1>tilt the portfolios with a six to eighteen month horizon

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<v Speaker 1>to take advantage of relative valuation opportunities, but also strategic

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<v Speaker 1>asset allocation, constructing the portfolio for the long run, trading

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<v Speaker 1>off returns against risk, positioning the portfolio for structural advantages,

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<v Speaker 1>structural alpha's, and also security selection that we typically source

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<v Speaker 1>in the funds of funds format so will allocate to

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<v Speaker 1>underlying key ro price building blocks. So most of what

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<v Speaker 1>we do is to put all these capabilities together and

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<v Speaker 1>then customize their in different ways for different types of investors.

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<v Speaker 1>So you're also on the asset Allocation committee, which is

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<v Speaker 1>responsible for tactical investment decisions, and you remember the firm's

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<v Speaker 1>target date franchise, which is a whole different animal, and

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<v Speaker 1>the broader management committee at large. How do all these

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<v Speaker 1>very very different pieces fit together. It sounds like you

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<v Speaker 1>have a lot of different roles to juggle. Yeah, our

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<v Speaker 1>Asset Allocation Committee is responsible for tactical assocation decisions. That's

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<v Speaker 1>all we do. On that committee. We're bring together some

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<v Speaker 1>of our most senior investors from equities, fixed income, and

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<v Speaker 1>multi asset and As I mentioned Verry, we take a

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<v Speaker 1>six to eighteen month horizon. We typically meet once a

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<v Speaker 1>month and we're very much focused on relative valuation opportunities,

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<v Speaker 1>but we also take into account macro think business cycle,

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<v Speaker 1>monetary policy, the fundamental I think earnings projections and the like,

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<v Speaker 1>as well as technical I think closed momentum sentiment. So

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<v Speaker 1>evaluations are main driver of decisions, but ideally we want

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<v Speaker 1>to take positions where all these factors aligned. So that's

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<v Speaker 1>for the asset allocation committee. As you mentioned, I'm also

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<v Speaker 1>a member of the management committee. That committee is chaired

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<v Speaker 1>by our CEO, and it's responsible for managing the entire

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<v Speaker 1>firm of seven thousand plus employees across sixteen countries. You know,

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<v Speaker 1>the entire one trillion in a u M if you will,

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<v Speaker 1>they're on that committee. I need to take my multi

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<v Speaker 1>asset hat off and put the tyro price hat on.

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<v Speaker 1>And you know, we meet for at least two hours

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<v Speaker 1>every week. We interact with our board, We set the

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<v Speaker 1>strategic direction for the firm, and we manage execution that

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<v Speaker 1>part of my job. There has been a fantastic learning

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<v Speaker 1>opportunity for me. So you mentioned earlier strategic allocation and

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<v Speaker 1>you just we're discussing tactical allocation. For the listener who

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<v Speaker 1>may not be deep into asset management, explain the difference

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<v Speaker 1>between the two. So, tactical asset allocation, the way we

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<v Speaker 1>define it is about taking advantage of primarily relative valuation opportunities.

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<v Speaker 1>And the time horizon is perhaps a medium time horizon

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<v Speaker 1>if you think about six to eighteen months, So it's

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<v Speaker 1>not day to day day trading, if you will, big

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<v Speaker 1>macro bats. It's more about leaning against the wind and

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<v Speaker 1>looking for situations where valuations are at extreme and other

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<v Speaker 1>factors give you confidence that you can take advantage of

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<v Speaker 1>those dislocations. That's what we mean by tactical asset allocation.

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<v Speaker 1>It's not what I would call gun slinging. It's more

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<v Speaker 1>about incrementally taking advantage of those opportunities in markets. Strategic

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<v Speaker 1>asset allocation, very is broader, and it's about how do

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<v Speaker 1>you construct a portfolio for a given investor or a

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<v Speaker 1>given institution for the long run. And the lots of

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<v Speaker 1>questions are being asked these days about whether the sixty

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<v Speaker 1>forty is dead, for example, that's a typical strategic asset

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<v Speaker 1>allocation question. Should we hold alternative assets in the portfolio.

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<v Speaker 1>That's also a strategic asset allocation question, and very the

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<v Speaker 1>biggest question of them all for strategic as allocation is

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<v Speaker 1>how much stocks should I hold versus bonds for the

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<v Speaker 1>long run. So those are the differences in the way

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<v Speaker 1>we define tactical and strategic. M quite interesting, you know.

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<v Speaker 1>I can't help but notice tro Price obviously a very

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<v Speaker 1>large organization, but you spent the early parts of your

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<v Speaker 1>career at State Street and Pimco, also two giant organizations.

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<v Speaker 1>What are the advantages and the challenges of working in

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<v Speaker 1>such large firms? Oh, good question. You know, I can't

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<v Speaker 1>speak a lot to small firms because, as you said,

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<v Speaker 1>I spent most of my career at very large firms.

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<v Speaker 1>But let's start with what I would say is one

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<v Speaker 1>of the most underestimated advantages of being at a large firm.

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<v Speaker 1>Large company, those that are successful over time, that know

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<v Speaker 1>how to innovate and take risks, have some advantages over startups.

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<v Speaker 1>It's you know, it's not like startups they called the

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<v Speaker 1>risks and large companies are sleepy giants waiting to get disrupted. Disrupted.

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<v Speaker 1>That's a cliche to me that it ignores how successful

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<v Speaker 1>large companies really operate. So I've been lucky enough to

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<v Speaker 1>work at fantastic companies where have been put in positions

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<v Speaker 1>to essentially run startup in shit. It's but with two

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<v Speaker 1>very big advantages. Number One, resources usually in the form

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<v Speaker 1>of headcount and brand and marketing support. And second, you know,

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<v Speaker 1>better career support that that I would have gotten at

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<v Speaker 1>a startup for example. Now, I don't want to diminish

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<v Speaker 1>the role of startups in our economy, but sometimes people

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<v Speaker 1>think of big companies versus startups in black and white terms,

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<v Speaker 1>and it really is not like that in terms of innovation.

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<v Speaker 1>But you know that being said, the main disadvantage is

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<v Speaker 1>what you would expect, right, no matter how agile large

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<v Speaker 1>companies are, no matter how successful, you'll always face frictions

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<v Speaker 1>involved with managing change inside large organizations. You know that

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<v Speaker 1>there's this tired analogy that it's harder to to turn

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<v Speaker 1>a supertanker than a jet ski. You know, it takes

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<v Speaker 1>a tremendous amount of leadership and political savvy and with

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<v Speaker 1>a bologies to ill en mosque power points uh in

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<v Speaker 1>order to align people inside large organizations and move large organizations.

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<v Speaker 1>And I'm still working on getting better at this, but

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<v Speaker 1>to me, the advantages of working at successful large organizations

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<v Speaker 1>outweigh the disadvantages for me. So so working at a

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<v Speaker 1>at a large company is a high risk adjusted return proposition,

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<v Speaker 1>high sharp ratio if you will, to use UH an

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<v Speaker 1>investment term. But but the trade office, I'll never be

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<v Speaker 1>a billionaire founder. But but that's okay, that's okay with me.

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<v Speaker 1>You know a little secret. Most of us are never

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<v Speaker 1>going to be billionaire founders. But we'll hold that myth

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<v Speaker 1>off to the side. One one last question about allocations.

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<v Speaker 1>So within the asset allocation committee, is the firm's target

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<v Speaker 1>date fund practice. I have this horrible bias thinking that

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<v Speaker 1>that is the easiest gig in the world. You set

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<v Speaker 1>a target date, you do almost nothing going forward. It

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<v Speaker 1>kind of runs itself over thirty forty years. Disabuse me

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<v Speaker 1>of that understanding. It's very hard for non investment professionals

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<v Speaker 1>to determine their own asset allocation right, and with the

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<v Speaker 1>d C Defined Contribution system in the United States, that's

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<v Speaker 1>essentially what we've asked people to do. We've asked them

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<v Speaker 1>to take control of their investments and their asset allocation decisions.

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<v Speaker 1>So I was talking with the financial advisors recently, and

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<v Speaker 1>you know he put it that way. He said, asking

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<v Speaker 1>non investment professionals to manage their investment is a big ask.

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<v Speaker 1>Do we ask people to perform their own surgeries? No,

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<v Speaker 1>we ask a surgeon. So the target date fund has

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<v Speaker 1>the advantage of apping people to the most important decision,

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<v Speaker 1>which is the stock versus bonds decision, based on how

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<v Speaker 1>far they are away from retirement. And if you read

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<v Speaker 1>my book Berry, you'll find that there's a lot of

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<v Speaker 1>science and research and practice and judgment involved in calibrating

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<v Speaker 1>those targeted funds to meet the needs of the different

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<v Speaker 1>populations inside these different plans. So people who are putting

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<v Speaker 1>it putting money aside for retirement, and the calibration takes

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<v Speaker 1>into account your risk tolerance, and it is I agree

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<v Speaker 1>with you. It is in a sense a not a

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<v Speaker 1>pilot solution because it will change your stock bond mix

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<v Speaker 1>automatically as you age. You'll have to targeted fund manager

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<v Speaker 1>select the underlying building blocks, monitor those, and add other

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<v Speaker 1>capabilities like the ones I was mentioning earlier on tactical

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<v Speaker 1>asset allocations. So it's meant to be an easy solution

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<v Speaker 1>for investors inside of the seed plans. So if you

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<v Speaker 1>take that lens, it's not that surprising that they've become

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<v Speaker 1>the default option of choice. Quite quite interesting. So Sebastian,

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<v Speaker 1>let's talk a little bit about asset allocation. You mentioned

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<v Speaker 1>the portfolio. It's been pronounced dead I don't know a

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<v Speaker 1>dozen times over the last decade. But with rates under

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<v Speaker 1>one percent and zero not too far off in the future,

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<v Speaker 1>maybe this time is the time where the portfolio really

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<v Speaker 1>is dead. What do you think about that traditional asset

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<v Speaker 1>allocation mix very these days? And that's the perfect question

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<v Speaker 1>to ask an asset allocator if you want a long answer,

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<v Speaker 1>it's a really important and well discussed question. Let me

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<v Speaker 1>start with the conclusion this sixty forty portfolio is not bad,

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<v Speaker 1>but it needs to be improved. I have three main

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<v Speaker 1>concerns with the sixty and the first one is really obvious,

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<v Speaker 1>is that the sixty provides a specific risk profile, and

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<v Speaker 1>not everybody should have that risk profile. So it is

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<v Speaker 1>too generic if you think about it as blanket advice.

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<v Speaker 1>Depending on how far you are from retirement. For example,

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<v Speaker 1>earlier we're talking about target date funds, you should probably

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<v Speaker 1>have a different mix between stocks and bonds. People need

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<v Speaker 1>to account for their risk tolerance. You know, the question

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<v Speaker 1>how much stocks should I own is often, especially these days,

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<v Speaker 1>probably more than you think. I talk about this in

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<v Speaker 1>my book. But if you look at target date strategies,

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<v Speaker 1>someone who's fifteen years from retirement save fifty years old, uh,

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<v Speaker 1>we think should hold about their portfolios in stock and retirement.

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<v Speaker 1>The equity weight it's still about fifty. And this is

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<v Speaker 1>because you know, longevity says or longevity risk is an

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<v Speaker 1>important factor, and it says, you know, even at retirement,

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<v Speaker 1>you can expect to live for another thirty years, so

0:16:21.680 --> 0:16:24.600
<v Speaker 1>you want your money to last. So that's kind of

0:16:24.640 --> 0:16:27.280
<v Speaker 1>the first thing to say about the sixty forty. Let's

0:16:27.320 --> 0:16:30.720
<v Speaker 1>just all realize that it's very generic advice in terms

0:16:30.720 --> 0:16:34.520
<v Speaker 1>of the stock bond mix. Second, really important risk is

0:16:34.560 --> 0:16:38.920
<v Speaker 1>not stable over time. Think about it this way. On

0:16:38.960 --> 0:16:42.760
<v Speaker 1>a rolling one year basis, if I calculate the volatility

0:16:42.760 --> 0:16:47.240
<v Speaker 1>of a sixty forty portfolio, depending on the environment, I

0:16:47.240 --> 0:16:51.120
<v Speaker 1>can get as much as volatility or as little as

0:16:51.200 --> 0:16:56.440
<v Speaker 1>five percent volatility. So that's for the same asset mix

0:16:57.000 --> 0:17:00.120
<v Speaker 1>can look very aggressive when markets are volatile, and it

0:17:00.200 --> 0:17:05.040
<v Speaker 1>can look very conservative in quiet times. Our industry is

0:17:05.240 --> 0:17:10.760
<v Speaker 1>evolving towards more dynamic risk management. To stabilize risk, I

0:17:10.760 --> 0:17:16.560
<v Speaker 1>think target risk rather than target allocations. And thirty two

0:17:16.560 --> 0:17:20.760
<v Speaker 1>at sixty your question, very captain, markets have change. Interest

0:17:20.840 --> 0:17:24.880
<v Speaker 1>rates are now post COVID Hunter basis points lower than

0:17:24.880 --> 0:17:28.399
<v Speaker 1>they were before COVID, and that's about a fifty drop

0:17:28.640 --> 0:17:31.520
<v Speaker 1>relative to their level at the beginning of the year.

0:17:31.880 --> 0:17:35.119
<v Speaker 1>So this means that for the same expected return, people

0:17:35.119 --> 0:17:38.359
<v Speaker 1>need to take more risk. But let me first it

0:17:38.480 --> 0:17:42.720
<v Speaker 1>this way. In order to hope to achieve the same

0:17:42.720 --> 0:17:46.720
<v Speaker 1>expected return, people need to take more risk. Uh So

0:17:46.880 --> 0:17:49.040
<v Speaker 1>it's not just the search for yield anymore. It's the

0:17:49.119 --> 0:17:52.080
<v Speaker 1>search for return. The Barclay Zagg has a yield of

0:17:52.640 --> 0:17:56.240
<v Speaker 1>you know, say one point two, which it's especially zero

0:17:56.320 --> 0:17:59.960
<v Speaker 1>after inflation. And our solution team has done a study

0:18:00.440 --> 0:18:03.840
<v Speaker 1>and they found that in order to reach a six

0:18:04.520 --> 0:18:07.600
<v Speaker 1>expected return. Now there are lots of assumptions here, depends

0:18:07.600 --> 0:18:10.479
<v Speaker 1>which asset classes you pick, it depends how you model

0:18:11.000 --> 0:18:16.760
<v Speaker 1>forward returns. But roughly speaking, giving current rate levels, you

0:18:16.800 --> 0:18:20.399
<v Speaker 1>actually need about in stocks if you want to reach

0:18:20.440 --> 0:18:24.760
<v Speaker 1>for a six expected return going forward. And to make

0:18:25.119 --> 0:18:29.680
<v Speaker 1>things worse, bonds no longer diversify stocks as much as

0:18:29.720 --> 0:18:32.680
<v Speaker 1>they did in the past. So maybe the answer to

0:18:32.720 --> 0:18:37.119
<v Speaker 1>the question how much stocks UH should I hold? Again,

0:18:37.119 --> 0:18:39.880
<v Speaker 1>as I mentioned earlier, is often more than than you think.

0:18:39.880 --> 0:18:43.320
<v Speaker 1>But I understand the spirit of the question is more

0:18:43.320 --> 0:18:47.800
<v Speaker 1>about the role of traditional asset classes, right stocks, bonds,

0:18:47.920 --> 0:18:54.040
<v Speaker 1>beers burgers, simple stuff. So my views at the portfolio again,

0:18:54.080 --> 0:18:57.159
<v Speaker 1>it's not dead, but if that's the risk level you're shooting,

0:18:57.280 --> 0:19:01.919
<v Speaker 1>you're shooting for it needs to be optimized. And in

0:19:01.960 --> 0:19:05.639
<v Speaker 1>my book I present some model portfolios and we have

0:19:06.320 --> 0:19:10.520
<v Speaker 1>shifted twelve percent of the allocation from bonds to low

0:19:10.560 --> 0:19:14.800
<v Speaker 1>volatility alternatives. We have a five percent allocation to a

0:19:14.920 --> 0:19:18.920
<v Speaker 1>risk premium or factor strategy if you will, the volatility premium,

0:19:18.960 --> 0:19:22.280
<v Speaker 1>and there's also a dedicated long bond allocation of three

0:19:22.320 --> 0:19:25.040
<v Speaker 1>to four The other thing we did in that model

0:19:25.080 --> 0:19:29.520
<v Speaker 1>portfolio is that within equities, you can swap five of

0:19:29.560 --> 0:19:33.919
<v Speaker 1>your stocks traditional long only stocks to risk manage or

0:19:34.040 --> 0:19:38.040
<v Speaker 1>defensive equities. There are different ways of doing that. Those

0:19:38.040 --> 0:19:41.200
<v Speaker 1>are a lot of those are not available on advisor platforms,

0:19:41.240 --> 0:19:46.520
<v Speaker 1>for example, and some of them integrate integrate dynamic risk management. So,

0:19:47.080 --> 0:19:48.760
<v Speaker 1>as I said Verry, if you want to get an

0:19:48.800 --> 0:19:53.359
<v Speaker 1>assallocation and an assallocator, talking asked them about the whether

0:19:53.400 --> 0:19:56.280
<v Speaker 1>it's dead. The bottom line is that you know it's

0:19:56.320 --> 0:19:59.800
<v Speaker 1>fairly generic advice. You have to calibrate this for risk.

0:20:00.000 --> 0:20:03.760
<v Speaker 1>You have to count for changing risk over time capital

0:20:03.800 --> 0:20:07.280
<v Speaker 1>markets have changed, or your expectations from the sixty change,

0:20:07.359 --> 0:20:09.919
<v Speaker 1>and ultimately I think you can re optimize it with

0:20:10.000 --> 0:20:13.159
<v Speaker 1>these different solutions that just mentioned. So let's stick with

0:20:13.240 --> 0:20:17.800
<v Speaker 1>the role of bonds within that beer and burger portfolio.

0:20:18.200 --> 0:20:21.399
<v Speaker 1>We know that they're diversifier, but not as much as

0:20:21.480 --> 0:20:25.600
<v Speaker 1>they used to be. We know that they produce yields,

0:20:25.640 --> 0:20:29.520
<v Speaker 1>but really not enough in real terms. There's still the

0:20:29.560 --> 0:20:34.600
<v Speaker 1>element of fixed income as the volatility dampener versus equity

0:20:34.720 --> 0:20:36.560
<v Speaker 1>or is that no longer the case? What are your

0:20:36.560 --> 0:20:40.400
<v Speaker 1>thoughts about that bonds and treasuries in particular can still

0:20:40.480 --> 0:20:44.320
<v Speaker 1>dampen volatility in your portfolio. But I have to say

0:20:44.359 --> 0:20:48.080
<v Speaker 1>that these days, if you ask asset allocators what keeps

0:20:48.119 --> 0:20:51.000
<v Speaker 1>them up at my a number of them will say,

0:20:51.040 --> 0:20:56.080
<v Speaker 1>and I'll include myself, the worry that treasuries, with the

0:20:56.119 --> 0:20:59.480
<v Speaker 1>exception of the very long data treasuries have lost most

0:20:59.520 --> 0:21:02.480
<v Speaker 1>of their rustation benefits. And I'll give you an example.

0:21:02.880 --> 0:21:05.840
<v Speaker 1>The US equity market had a draw down of nine

0:21:06.520 --> 0:21:11.480
<v Speaker 1>in September. During that drawn on, the Treasuries index actually

0:21:11.520 --> 0:21:16.680
<v Speaker 1>lost fifteen basis points over that time period. The zero

0:21:16.800 --> 0:21:22.320
<v Speaker 1>bound limits upside for treasuries. And this very is simple math. Right,

0:21:22.440 --> 0:21:26.160
<v Speaker 1>you can't go up during a shock when stocks are

0:21:26.200 --> 0:21:31.240
<v Speaker 1>selling off a lot more than your duration times the

0:21:31.280 --> 0:21:35.119
<v Speaker 1>amount by which races can go down. Duration times to

0:21:35.359 --> 0:21:40.200
<v Speaker 1>change in rates. And look at German boons during COVID, Right,

0:21:40.240 --> 0:21:44.600
<v Speaker 1>they only went up two in Q one. Meanwhile, the

0:21:44.680 --> 0:21:51.199
<v Speaker 1>Germany stock index was down. So maybe maybe treasuries can

0:21:51.280 --> 0:21:54.399
<v Speaker 1>dampen volatility, but they don't really hedge your risk in

0:21:54.440 --> 0:21:58.760
<v Speaker 1>the sense of rallying when you're incurring really large losses

0:21:59.280 --> 0:22:02.399
<v Speaker 1>on star, so you have to look for alternatives you

0:22:02.400 --> 0:22:07.200
<v Speaker 1>can extend duration. And if you look at the long

0:22:07.280 --> 0:22:12.520
<v Speaker 1>treasuries index during Q one, it was up, but again

0:22:12.560 --> 0:22:16.679
<v Speaker 1>I yield approached zero even in the long end, gains

0:22:16.720 --> 0:22:20.600
<v Speaker 1>of that magnitude become unlikely my views, you have about

0:22:20.640 --> 0:22:25.760
<v Speaker 1>one more good big crisis in long treasuries. Uh. If

0:22:25.800 --> 0:22:28.639
<v Speaker 1>you will, then you have to start thinking, Okay, if

0:22:28.680 --> 0:22:33.080
<v Speaker 1>I can't diversify, if I can't get the hedging from treasuries,

0:22:33.160 --> 0:22:35.840
<v Speaker 1>where am I going to get it. The simplest way

0:22:35.840 --> 0:22:39.080
<v Speaker 1>of doing that is to buy foot options from stocks,

0:22:39.200 --> 0:22:41.520
<v Speaker 1>but that can be really expensive. You have to pay

0:22:41.560 --> 0:22:45.760
<v Speaker 1>for it. With treasuries in a normal environment, at least

0:22:45.760 --> 0:22:49.199
<v Speaker 1>you get a positive yield. I mentioned earlier the possibility

0:22:49.240 --> 0:22:52.160
<v Speaker 1>of dynamically managing your risk. I think this is becoming

0:22:52.640 --> 0:22:56.760
<v Speaker 1>more important for asset allocators and for our industry. For example,

0:22:56.760 --> 0:23:01.400
<v Speaker 1>what's so called managed volatility strategies or defense as macro strategies.

0:23:02.440 --> 0:23:05.320
<v Speaker 1>Some of those strategies can pick up the slack from

0:23:05.400 --> 0:23:11.320
<v Speaker 1>treasuries going forward. You can consider absolute return strategies, adding

0:23:11.359 --> 0:23:14.439
<v Speaker 1>those to your portfolio because they allow for short positions,

0:23:14.480 --> 0:23:19.440
<v Speaker 1>which can be very effective hedges. Or look at other diversifiers.

0:23:19.520 --> 0:23:22.240
<v Speaker 1>This is usually the answer people will give you. Very

0:23:22.359 --> 0:23:27.000
<v Speaker 1>treasuries don't diversify as much. Look at gold, uh, I

0:23:27.040 --> 0:23:29.560
<v Speaker 1>don't know. Gold can trade like a risk asset in

0:23:29.600 --> 0:23:32.840
<v Speaker 1>the short run. At least look at investment grade bonds.

0:23:32.960 --> 0:23:36.879
<v Speaker 1>They still have default risk. Low interest rate currencies like

0:23:36.920 --> 0:23:39.520
<v Speaker 1>the Japanese end may help. They tend to rally when

0:23:39.600 --> 0:23:42.359
<v Speaker 1>stocks sell off, but you have to ask what the

0:23:42.400 --> 0:23:46.199
<v Speaker 1>expected return on currencies. It can be quite low. So

0:23:46.280 --> 0:23:49.920
<v Speaker 1>when all else failed, you can either accept higher exposure

0:23:49.960 --> 0:23:53.719
<v Speaker 1>to laws going forward, or reduce or reoptimize your equity

0:23:53.760 --> 0:23:57.159
<v Speaker 1>exposure giving your risk tolerance. And I mentioned allocating to

0:23:57.280 --> 0:24:03.360
<v Speaker 1>risk managed equity solutions for example, Barry. When I this

0:24:03.440 --> 0:24:07.160
<v Speaker 1>question brings to mind a story I have in my book.

0:24:07.160 --> 0:24:09.159
<v Speaker 1>When I worked at State three, I had a really

0:24:09.200 --> 0:24:11.600
<v Speaker 1>great mentor, and I talked about him in the book.

0:24:11.600 --> 0:24:15.400
<v Speaker 1>He had a fairly dry sense of humor, and one

0:24:15.440 --> 0:24:19.000
<v Speaker 1>day was in his office complaining about my career. You know,

0:24:19.119 --> 0:24:20.880
<v Speaker 1>I was saying my career was not going the way

0:24:20.960 --> 0:24:23.480
<v Speaker 1>I wanted it to go. And he looked at me

0:24:24.400 --> 0:24:29.720
<v Speaker 1>and he was getting impatient, and he asked, Sebastian, do

0:24:29.800 --> 0:24:34.760
<v Speaker 1>you know the secret to happiness in life? So I've

0:24:34.800 --> 0:24:36.399
<v Speaker 1>got to the edge of my seat. Do you know

0:24:36.440 --> 0:24:41.359
<v Speaker 1>what he said, Barry? He said, the secret to happiness

0:24:41.400 --> 0:24:46.200
<v Speaker 1>in life is to lower your expectations. So with rates

0:24:46.240 --> 0:24:50.399
<v Speaker 1>at the zero bound, the bottom line is that investors

0:24:50.440 --> 0:24:54.639
<v Speaker 1>have to lower their expectations for forward returns on both

0:24:54.640 --> 0:24:58.560
<v Speaker 1>stocks and bonds, and for how much treasuries can rally

0:24:58.720 --> 0:25:03.600
<v Speaker 1>when stocks are selling off. Quite interesting. Last question on

0:25:03.720 --> 0:25:09.080
<v Speaker 1>asset allocation and diversification. We've been waiting for a long

0:25:09.160 --> 0:25:14.040
<v Speaker 1>time to see when investments outside of the US will

0:25:14.080 --> 0:25:16.920
<v Speaker 1>begin to pay off. They've lagged for the better part

0:25:16.920 --> 0:25:19.920
<v Speaker 1>of a decade. Um when are we going to see

0:25:19.960 --> 0:25:25.680
<v Speaker 1>the benefits of global diversification or or has the law

0:25:25.800 --> 0:25:29.840
<v Speaker 1>of mean reversion been repealed. Yeah, that's a really good question,

0:25:29.920 --> 0:25:35.040
<v Speaker 1>because non U S stocks have underperformed for a long time,

0:25:35.640 --> 0:25:40.040
<v Speaker 1>and this is an example of where relative valuation has

0:25:40.160 --> 0:25:43.719
<v Speaker 1>not worked in terms of reversion towards the mean because

0:25:43.840 --> 0:25:48.840
<v Speaker 1>other factors have not lined up. But let's think about

0:25:48.880 --> 0:25:51.920
<v Speaker 1>the usual disclaimer. I'm sure you tell that to all

0:25:51.960 --> 0:25:56.200
<v Speaker 1>your clients. Very past returns aren't indicative of future returns.

0:25:56.680 --> 0:25:59.560
<v Speaker 1>That's a generic statement that I talk a lot about

0:25:59.640 --> 0:26:03.040
<v Speaker 1>in my book. But I show that over safe five

0:26:03.160 --> 0:26:09.200
<v Speaker 1>or tenure horizons, relative returns and valuations tend to mean reverts.

0:26:09.240 --> 0:26:13.560
<v Speaker 1>So it's possible that going forward, non US markets could outperform.

0:26:13.680 --> 0:26:17.480
<v Speaker 1>I believe that from a long term perspective, emerging markets

0:26:17.520 --> 0:26:21.199
<v Speaker 1>in particular position for higher growth than the rest of

0:26:21.240 --> 0:26:24.840
<v Speaker 1>the world, given where there are in their business cycles,

0:26:25.000 --> 0:26:27.879
<v Speaker 1>and given their demographics, and if you want to get

0:26:27.920 --> 0:26:34.160
<v Speaker 1>a little bit more tactical in an economic recovery, economies

0:26:34.200 --> 0:26:38.480
<v Speaker 1>that are more levered like Europe, for example, that have

0:26:38.640 --> 0:26:44.080
<v Speaker 1>more cychnical exposures could outperform the other ways. So that's

0:26:44.200 --> 0:26:46.280
<v Speaker 1>one way to think about this is that let's just

0:26:46.359 --> 0:26:49.400
<v Speaker 1>look forward when we try to answer that question as

0:26:49.440 --> 0:26:54.520
<v Speaker 1>opposed to backwards. And if we look forward, history says

0:26:54.760 --> 0:26:58.679
<v Speaker 1>the likelihood of mean reversion given where we are UH

0:26:58.840 --> 0:27:03.200
<v Speaker 1>could be sart high. Second, you know, there's just more breath.

0:27:03.400 --> 0:27:07.399
<v Speaker 1>There's more opportunities for alpha and global portfolios compared to

0:27:07.440 --> 0:27:11.000
<v Speaker 1>portfolios that are concentrated in the US, especially with the

0:27:11.040 --> 0:27:16.000
<v Speaker 1>current environment with the fangs dominating the US market. There

0:27:16.000 --> 0:27:19.240
<v Speaker 1>are more than fourteen thousand companies that are included in

0:27:19.359 --> 0:27:23.400
<v Speaker 1>the MSc I All Country World IMPACTX, so more than

0:27:23.440 --> 0:27:26.200
<v Speaker 1>just those nine or ten in the US that seems

0:27:26.240 --> 0:27:29.040
<v Speaker 1>to be driving returns this year, right, which leads to

0:27:29.560 --> 0:27:33.359
<v Speaker 1>better opportunities for alpha for stock pickers, for those that

0:27:33.480 --> 0:27:36.840
<v Speaker 1>know how to do that well. So you have the

0:27:36.880 --> 0:27:41.440
<v Speaker 1>advantage of relative valuation and looking forward relative to backwards,

0:27:41.480 --> 0:27:45.199
<v Speaker 1>and the breath of investment opportunities working in your favor.

0:27:45.480 --> 0:27:48.639
<v Speaker 1>Quite quite interesting. Let's talk a little bit about some

0:27:48.720 --> 0:27:51.320
<v Speaker 1>of the research and writing you do. Not only have

0:27:51.440 --> 0:27:54.800
<v Speaker 1>you written two books, but you've co authored a number

0:27:54.840 --> 0:27:58.800
<v Speaker 1>of award winning papers for the Journal of Portfolio Management

0:27:58.920 --> 0:28:03.160
<v Speaker 1>and for the Financial Analysts Journal. Tell us a bit

0:28:03.280 --> 0:28:07.200
<v Speaker 1>about how and why you write. You spend an awful

0:28:07.240 --> 0:28:12.040
<v Speaker 1>lot of time putting out well regarded research. What's the motivation?

0:28:12.520 --> 0:28:17.399
<v Speaker 1>My motivation in particular for the book was to build

0:28:17.400 --> 0:28:24.800
<v Speaker 1>a bridge between investment research, academic research, and the practice

0:28:25.280 --> 0:28:30.800
<v Speaker 1>of investment with a focus on asset allocation decisions. So

0:28:31.040 --> 0:28:37.240
<v Speaker 1>I reviewed over two hundred papers. I integrated some insights

0:28:37.280 --> 0:28:40.680
<v Speaker 1>from my colleagues at Tyro Price as well as from

0:28:40.680 --> 0:28:44.400
<v Speaker 1>my own twenty years in the business. And one thing

0:28:44.440 --> 0:28:49.280
<v Speaker 1>I wanted to do very with this book was make

0:28:49.360 --> 0:28:55.080
<v Speaker 1>it accessible without sacrificing the rigor. An author I had

0:28:55.120 --> 0:28:58.200
<v Speaker 1>in mind when I started writing is Malcolm Gladwell. You

0:28:58.200 --> 0:29:01.480
<v Speaker 1>know how he takes deep research and makes it interesting

0:29:01.520 --> 0:29:05.880
<v Speaker 1>and accessible. I want to write something like that for

0:29:06.280 --> 0:29:10.040
<v Speaker 1>asset allocation. And you know, you could say finances in

0:29:10.120 --> 0:29:14.840
<v Speaker 1>my DNA. I have absolute passion for it, and working

0:29:14.840 --> 0:29:17.640
<v Speaker 1>on this book, I wouldn't call it work at all.

0:29:17.920 --> 0:29:20.880
<v Speaker 1>It's what I do, it's how I think, and I

0:29:21.000 --> 0:29:25.840
<v Speaker 1>had this desire to put it all together in an

0:29:26.040 --> 0:29:32.800
<v Speaker 1>organized way. Going from forecasting return, forecasting risks, and then

0:29:32.840 --> 0:29:36.760
<v Speaker 1>constructing portfolios. That's how I've divided the three sections in

0:29:36.800 --> 0:29:39.520
<v Speaker 1>the book. So let's talk a little bit about some

0:29:39.600 --> 0:29:44.760
<v Speaker 1>of the problems of forecasting, especially things like fat tails,

0:29:44.920 --> 0:29:49.960
<v Speaker 1>black swans, and other financial disasters. How does the finance

0:29:50.000 --> 0:29:53.960
<v Speaker 1>industry think about fat tails? Do we pay enough attention

0:29:54.480 --> 0:29:57.200
<v Speaker 1>to these hundred year floods that seem to come along

0:29:57.640 --> 0:30:00.760
<v Speaker 1>despite their name, every ten years or so. Yeah, those

0:30:00.800 --> 0:30:04.840
<v Speaker 1>are interesting statistics, very and I actually have a chapter

0:30:04.920 --> 0:30:09.200
<v Speaker 1>where I talk about those probabilities and how they compare

0:30:09.240 --> 0:30:13.120
<v Speaker 1>in real life versus mathematical models that rely on a

0:30:13.200 --> 0:30:18.560
<v Speaker 1>normal distribution. Look, the issue of fat tales is actually

0:30:18.560 --> 0:30:21.680
<v Speaker 1>a really well known issue, but I would argue we

0:30:21.720 --> 0:30:25.760
<v Speaker 1>don't pay enough attention to it. I would say many

0:30:26.280 --> 0:30:31.880
<v Speaker 1>quantitative analysts, especially when they backdest strategies like risk factor

0:30:31.960 --> 0:30:36.600
<v Speaker 1>premium for example, don't really account properly for fat tales.

0:30:37.080 --> 0:30:41.320
<v Speaker 1>Someone once told me that the only people capable of

0:30:41.480 --> 0:30:45.000
<v Speaker 1>generating a sharp ratio of three point oh so three

0:30:45.040 --> 0:30:49.640
<v Speaker 1>point o return to risk ratio were either Bernie made

0:30:49.680 --> 0:30:55.880
<v Speaker 1>Off or quantitative analysts running back tests. And in the book,

0:30:55.880 --> 0:30:59.120
<v Speaker 1>I have a great example for this. It's from Andrew Low.

0:30:59.240 --> 0:31:01.520
<v Speaker 1>He's a professor r at M I T. And there's

0:31:01.560 --> 0:31:05.080
<v Speaker 1>a fascinating case study on the issue of fat tales

0:31:05.720 --> 0:31:08.760
<v Speaker 1>in the paper he wrote in the earlier two thousand's.

0:31:08.800 --> 0:31:14.480
<v Speaker 1>His studies based on monthly data from January December, and

0:31:14.560 --> 0:31:22.560
<v Speaker 1>he simulates an investment strategy that requires no investment skill whatsoever. Okay,

0:31:22.680 --> 0:31:28.480
<v Speaker 1>no analysis, no foresight, no judgment. The strategy is so

0:31:28.520 --> 0:31:34.080
<v Speaker 1>simple a monkey could do it. But despite this simplicity,

0:31:34.360 --> 0:31:39.080
<v Speaker 1>in Angrelo's fac tests, the strategy doubles the sharp ratio

0:31:39.240 --> 0:31:42.600
<v Speaker 1>of the SNP five hundred from point nine eight to

0:31:42.760 --> 0:31:46.600
<v Speaker 1>one point nine four, so double the risk adjusted return.

0:31:47.040 --> 0:31:50.320
<v Speaker 1>It only has six negative months compared to thirty six

0:31:51.080 --> 0:31:54.040
<v Speaker 1>for the SNP five hundred. And here I'm going to

0:31:54.280 --> 0:31:58.640
<v Speaker 1>quote Angelo because he sets it up nicely. He writes,

0:31:58.760 --> 0:32:02.960
<v Speaker 1>by all accounts, this is an enormously successful hedge fund

0:32:03.120 --> 0:32:05.640
<v Speaker 1>with a track record that would be the envy of

0:32:05.760 --> 0:32:10.760
<v Speaker 1>most asset managers. Then he reveals what the strategy is,

0:32:10.800 --> 0:32:14.800
<v Speaker 1>and this is where we illustrate fat tail risks. Can

0:32:14.880 --> 0:32:17.600
<v Speaker 1>you guess Bury what the strategy is? Well, I was

0:32:17.600 --> 0:32:19.840
<v Speaker 1>going to say, like a leverage S and P fund,

0:32:19.880 --> 0:32:23.560
<v Speaker 1>but the lack of monthly drawdowns kind of moved me

0:32:23.600 --> 0:32:27.720
<v Speaker 1>away from that. What's the strategy? So in this simulation,

0:32:27.800 --> 0:32:31.600
<v Speaker 1>all he does is just sell out of the money

0:32:31.680 --> 0:32:35.000
<v Speaker 1>put options on the S and P five hundred, so

0:32:35.320 --> 0:32:40.280
<v Speaker 1>essentially he sells insurance. The strategy is just to load

0:32:40.400 --> 0:32:43.280
<v Speaker 1>up on tail risks. And it just so happened that

0:32:43.320 --> 0:32:47.040
<v Speaker 1>in the nineties you didn't really get called on those

0:32:47.080 --> 0:32:51.160
<v Speaker 1>short put options. But what it is is picking up

0:32:51.200 --> 0:32:53.840
<v Speaker 1>pennies in front of a team roller. And when you

0:32:53.880 --> 0:32:57.720
<v Speaker 1>look at many risk premia or how our industry thinks

0:32:57.760 --> 0:33:03.320
<v Speaker 1>about liquidity risks for example, book or carry strategies, or

0:33:03.360 --> 0:33:08.600
<v Speaker 1>even how we construct allocations to credit in our portfolios,

0:33:09.520 --> 0:33:13.920
<v Speaker 1>a lot of those strategies return streams, if you will,

0:33:14.840 --> 0:33:19.160
<v Speaker 1>are short an option, and that is embedded tail risk

0:33:19.600 --> 0:33:22.800
<v Speaker 1>that our industry ought to pay more attention to and

0:33:22.840 --> 0:33:26.400
<v Speaker 1>find better ways to model. So I have a couple

0:33:26.440 --> 0:33:29.680
<v Speaker 1>of chapters on that in the book The Black Swans,

0:33:29.720 --> 0:33:33.920
<v Speaker 1>if you will. So since you mentioned Malcolm Gladwell, I

0:33:34.080 --> 0:33:37.360
<v Speaker 1>remember a piece he wrote, I want to say, early

0:33:37.480 --> 0:33:43.720
<v Speaker 1>two thousands about tail risk, and he has on one

0:33:43.800 --> 0:33:46.760
<v Speaker 1>side of the trade. I think it was Victor Niederhofer

0:33:47.280 --> 0:33:50.240
<v Speaker 1>who was on the other side of that tail risk

0:33:50.320 --> 0:33:55.920
<v Speaker 1>trade and now seemed to lab as the buyer of puts,

0:33:55.920 --> 0:33:59.520
<v Speaker 1>which was money losing until for for years and years

0:33:59.520 --> 0:34:03.920
<v Speaker 1>and years until the bulldozer comes along in two thousands,

0:34:04.280 --> 0:34:06.840
<v Speaker 1>and so the writer of puts were minting money all

0:34:06.840 --> 0:34:11.480
<v Speaker 1>through the until the dot com collapse takes place. Then

0:34:11.520 --> 0:34:15.040
<v Speaker 1>the buyer of puts becomes the big winner. And the

0:34:15.160 --> 0:34:19.400
<v Speaker 1>draw downs were so catastrophic that they completely wipe out

0:34:19.520 --> 0:34:21.840
<v Speaker 1>not only all the games for the previous decade, but

0:34:22.320 --> 0:34:25.959
<v Speaker 1>they pretty much bankrupt the writer of puts that whole time.

0:34:26.200 --> 0:34:29.839
<v Speaker 1>Am I portraying that more or less correctly? Yeah? And

0:34:29.880 --> 0:34:33.960
<v Speaker 1>it's a good example because it's extreme and it's directly

0:34:34.200 --> 0:34:40.160
<v Speaker 1>using nonlinear instruments like put But the issue of fat

0:34:40.200 --> 0:34:45.160
<v Speaker 1>tails is broader than that, right, It's the behavior of markets.

0:34:45.200 --> 0:34:49.160
<v Speaker 1>It's how we think about so called carry strategy, it's

0:34:49.200 --> 0:34:52.960
<v Speaker 1>how we think about credit, it's how we think about liquidity,

0:34:53.239 --> 0:34:57.680
<v Speaker 1>risk and portfolios. And you know, even you and I

0:34:57.880 --> 0:35:00.520
<v Speaker 1>very so far in this podcast of talked a lot

0:35:00.560 --> 0:35:05.040
<v Speaker 1>about volatility, but really when we think about forecasting risk,

0:35:05.080 --> 0:35:09.880
<v Speaker 1>constructing portfolio, we really ought to talk about exposure to loss,

0:35:11.080 --> 0:35:14.400
<v Speaker 1>which when you have options like in the example you

0:35:14.480 --> 0:35:18.840
<v Speaker 1>describe is obviously different from your volatility, and in my

0:35:19.080 --> 0:35:24.080
<v Speaker 1>Andrew Loo example, exposure to loss is obviously different from volatility.

0:35:24.160 --> 0:35:26.960
<v Speaker 1>And I'm not claiming this is not something that our

0:35:27.000 --> 0:35:30.440
<v Speaker 1>industry knows. We just ought to have the right tools

0:35:30.440 --> 0:35:34.080
<v Speaker 1>and the right approaches and the right way of thinking

0:35:34.120 --> 0:35:40.880
<v Speaker 1>about those exposures. And it's not just hedging or put options.

0:35:40.920 --> 0:35:44.600
<v Speaker 1>It's a lot of aspects of financial markets. Quite interesting.

0:35:45.000 --> 0:35:48.799
<v Speaker 1>Let's talk a little bit about the future of investing.

0:35:49.560 --> 0:35:52.880
<v Speaker 1>You've done a decent amount of research on active versus

0:35:52.960 --> 0:35:56.960
<v Speaker 1>passive and about the entire debate that's grown up around it.

0:35:57.480 --> 0:36:01.000
<v Speaker 1>Tell us about your findings are good, Susan and Barry.

0:36:01.040 --> 0:36:03.640
<v Speaker 1>I saw you wrote a good article about active verse

0:36:03.719 --> 0:36:07.680
<v Speaker 1>passive where you show that passive is not taken over

0:36:07.760 --> 0:36:11.200
<v Speaker 1>the world when you measure the assets size correctly, and

0:36:11.280 --> 0:36:13.759
<v Speaker 1>you talk about your approach where it's a place for

0:36:13.840 --> 0:36:18.319
<v Speaker 1>both active and passive. So I'm with you on that,

0:36:19.719 --> 0:36:26.080
<v Speaker 1>broadly speaking, passive creating opportunities for active. And in my book,

0:36:26.120 --> 0:36:29.319
<v Speaker 1>I have an example about this. I talked about when

0:36:29.360 --> 0:36:34.520
<v Speaker 1>e t s trade around a theme with high volume

0:36:35.719 --> 0:36:39.239
<v Speaker 1>and how when that happens, all the constituents in the

0:36:39.320 --> 0:36:43.719
<v Speaker 1>e t F start moving together irrespective of fundamentals, so

0:36:43.800 --> 0:36:49.200
<v Speaker 1>I show those correlations spikes. This creates opportunities for stock pickers,

0:36:50.160 --> 0:36:53.960
<v Speaker 1>So I show examples where, for example, regulators were going

0:36:54.000 --> 0:36:57.920
<v Speaker 1>after drug pricing practices and people were selling the healthcare

0:36:58.120 --> 0:37:03.160
<v Speaker 1>ts dragging down companies UH that have nothing to do

0:37:03.200 --> 0:37:07.359
<v Speaker 1>with drug pricing, like medical equipment or contact lenses. So

0:37:07.400 --> 0:37:11.839
<v Speaker 1>those are good examples of when people, UH stockpickers would

0:37:11.840 --> 0:37:16.560
<v Speaker 1>have had opportunities to buy temporarily undervalued companies because they're

0:37:16.600 --> 0:37:19.600
<v Speaker 1>just they're just being dragged down with et F trading.

0:37:19.960 --> 0:37:22.480
<v Speaker 1>But they're also good examples of when people, for example,

0:37:22.600 --> 0:37:28.719
<v Speaker 1>sold financials because of lower rates, but companies with positive

0:37:28.800 --> 0:37:32.040
<v Speaker 1>duration like reads, which used to be part of financials,

0:37:32.120 --> 0:37:34.160
<v Speaker 1>would sell off as well. So it's like throwing the

0:37:34.200 --> 0:37:37.560
<v Speaker 1>baby out with the bathwater. And the original paper on

0:37:37.640 --> 0:37:42.160
<v Speaker 1>this we titled it the Revenge of the Stockpickers. Look,

0:37:43.120 --> 0:37:45.600
<v Speaker 1>I just don't think we should look at average results

0:37:45.600 --> 0:37:48.560
<v Speaker 1>for active managers. We need to look at how skilled

0:37:48.680 --> 0:37:52.880
<v Speaker 1>active management is done, those that can add value at consistent,

0:37:53.400 --> 0:37:58.399
<v Speaker 1>replicable philosophy and process depth of resources to do that.

0:37:59.000 --> 0:38:02.960
<v Speaker 1>And I'm at all saying that there's no place for passive.

0:38:03.480 --> 0:38:06.439
<v Speaker 1>It's not a black and white answer. In my mind.

0:38:06.440 --> 0:38:09.840
<v Speaker 1>There's a place for both active and passive in markets,

0:38:09.840 --> 0:38:13.160
<v Speaker 1>as I saw in the article Europe. And remember you

0:38:13.200 --> 0:38:16.680
<v Speaker 1>know passive ultimately it doesn't work if you don't have

0:38:16.760 --> 0:38:20.640
<v Speaker 1>active managers setting prices. Quite quite interesting, Let's talk a

0:38:20.640 --> 0:38:23.680
<v Speaker 1>little bit about risk appetite here we are, it's the

0:38:23.760 --> 0:38:26.319
<v Speaker 1>end of the year. Were recording this a few days

0:38:26.360 --> 0:38:31.360
<v Speaker 1>before Christmas, and it appears that risk appetite is very high.

0:38:31.880 --> 0:38:35.000
<v Speaker 1>SPACs have gone postal, I p o s are are

0:38:35.080 --> 0:38:39.480
<v Speaker 1>doing really well, robin Hood traders are you know, I

0:38:39.560 --> 0:38:42.520
<v Speaker 1>know it's not a lot of capital, but it's certainly

0:38:42.560 --> 0:38:46.200
<v Speaker 1>a lot of mind share. Anecdotally, it seems like this

0:38:46.320 --> 0:38:50.520
<v Speaker 1>younger generation is really embracing risk. What do you think

0:38:50.560 --> 0:38:56.560
<v Speaker 1>this means in the current environment. It certainly creates fragility

0:38:56.640 --> 0:39:02.520
<v Speaker 1>in markets. The puzzling thing is that risk capited at

0:39:02.520 --> 0:39:07.040
<v Speaker 1>the moment seems high, but in pockets of the markets,

0:39:07.200 --> 0:39:12.200
<v Speaker 1>rather than say a systemic issue as in prior crises.

0:39:13.120 --> 0:39:16.720
<v Speaker 1>So pockets of the markets like the one you mentioned,

0:39:16.760 --> 0:39:22.160
<v Speaker 1>facts Ibo, robin Hood, some technology companies. But if you

0:39:22.200 --> 0:39:25.040
<v Speaker 1>look at it, we have a composite indicator where we

0:39:25.120 --> 0:39:29.359
<v Speaker 1>put together a bunch of variables on surveys to get

0:39:29.480 --> 0:39:34.600
<v Speaker 1>investor sentiment as well as positioning. That composite indicator is

0:39:35.239 --> 0:39:41.400
<v Speaker 1>only slightly above medium. And you also still have the

0:39:41.480 --> 0:39:44.520
<v Speaker 1>proverbial and I hesitate to use the term, but cash

0:39:44.680 --> 0:39:48.680
<v Speaker 1>on the sidelines in the sense that there's seven hundred

0:39:48.719 --> 0:39:54.040
<v Speaker 1>billion extra a u M in money market accounts versus

0:39:54.239 --> 0:39:58.960
<v Speaker 1>what we had pre COVID, So what's happening. Why are

0:39:59.400 --> 0:40:05.640
<v Speaker 1>pockets of the market showing fragility. I mean, we've flooded

0:40:05.680 --> 0:40:09.239
<v Speaker 1>the markets with liquidity, and we had at one point

0:40:09.920 --> 0:40:13.040
<v Speaker 1>year over year growth on money supply. That's basically the

0:40:13.080 --> 0:40:16.359
<v Speaker 1>biggest jump in the data set that I have. And

0:40:16.400 --> 0:40:21.680
<v Speaker 1>I've seen estimates for stimulus measures between fiscal and monetary

0:40:21.719 --> 0:40:25.160
<v Speaker 1>globally as high as twenty five trillion, depending how you

0:40:25.200 --> 0:40:28.839
<v Speaker 1>measure it. But that's a tremendous amount of liquidity. So

0:40:29.000 --> 0:40:34.719
<v Speaker 1>it will create pockets of speculation, but I don't see

0:40:34.719 --> 0:40:39.560
<v Speaker 1>it at this point as a systemic issue for markets. Ultimately,

0:40:39.680 --> 0:40:43.440
<v Speaker 1>very in our portfolios right now, we're neutral between stocks

0:40:43.480 --> 0:40:48.560
<v Speaker 1>and bonds, and we're taking advantage of relative valuations on

0:40:48.680 --> 0:40:54.279
<v Speaker 1>the recovery trade with long positions, for example in small caps,

0:40:54.360 --> 0:40:57.880
<v Speaker 1>and we've started to lean into value, and we have

0:40:58.040 --> 0:41:03.120
<v Speaker 1>some credit exposures, for example in loans which benefit from

0:41:03.680 --> 0:41:10.239
<v Speaker 1>rising rates. So yes, sentiment is high. Their pockets of

0:41:10.280 --> 0:41:15.960
<v Speaker 1>fragility in the market, not a systemic issue in my

0:41:16.080 --> 0:41:21.120
<v Speaker 1>mind at the moment. Quite interesting. We mentioned value a

0:41:21.200 --> 0:41:25.560
<v Speaker 1>little bit. Let's let's talk about value. Is the value

0:41:25.560 --> 0:41:28.279
<v Speaker 1>trade dead? Is it just that growth has done so

0:41:28.400 --> 0:41:32.360
<v Speaker 1>much better than value um not only during the pandemic

0:41:32.440 --> 0:41:35.560
<v Speaker 1>but the past decade. When do we see some sort

0:41:35.600 --> 0:41:39.399
<v Speaker 1>of catch up of value towards growth or not? Does

0:41:39.440 --> 0:41:42.399
<v Speaker 1>it just never happen? You know, you're really asking all

0:41:42.440 --> 0:41:46.120
<v Speaker 1>the hot button questions for asset allocators, right the role

0:41:46.160 --> 0:41:50.680
<v Speaker 1>of bonds going forward is the dead value? Growth is

0:41:50.760 --> 0:41:54.640
<v Speaker 1>the other one. And in our assocation committee we debated

0:41:55.440 --> 0:42:00.720
<v Speaker 1>all the time. I don't think value is dead. In fact,

0:42:00.719 --> 0:42:03.360
<v Speaker 1>in the medium term you could see rotate, you know,

0:42:03.400 --> 0:42:07.920
<v Speaker 1>the rotation that's started with vaccine news continue during the

0:42:08.040 --> 0:42:15.640
<v Speaker 1>economic recovery. But then it's clear still to me that

0:42:15.800 --> 0:42:20.880
<v Speaker 1>growth has some secular which I think long term advantages.

0:42:21.600 --> 0:42:26.040
<v Speaker 1>UM growth stocks do well in low rate environments, and

0:42:26.080 --> 0:42:31.439
<v Speaker 1>there's clearly a sector advantage with technology disruption being more

0:42:32.320 --> 0:42:37.120
<v Speaker 1>tilted or oriented uh in in in growth stocks and

0:42:37.200 --> 0:42:41.760
<v Speaker 1>in the growth style versus value. But the other reason

0:42:41.800 --> 0:42:45.000
<v Speaker 1>I would say value is not dead. There's a tactical

0:42:45.000 --> 0:42:50.680
<v Speaker 1>opportunity here because we're entering an economic recovery. But also

0:42:51.239 --> 0:42:54.240
<v Speaker 1>if you step back and you think in a capitalist system,

0:42:54.400 --> 0:43:01.200
<v Speaker 1>companies evolve and reinvent themselves, banks and make money in

0:43:01.400 --> 0:43:04.760
<v Speaker 1>low rate environments. Think of those that have thriving wealth

0:43:04.840 --> 0:43:09.960
<v Speaker 1>management businesses or trading. For example, energy companies, which are

0:43:09.960 --> 0:43:14.480
<v Speaker 1>also a big component of value stocks, can move and

0:43:14.800 --> 0:43:19.799
<v Speaker 1>are moving to sustainable energy models and and so on.

0:43:19.960 --> 0:43:24.160
<v Speaker 1>So I don't think value is dead Barry, And you know,

0:43:24.200 --> 0:43:27.840
<v Speaker 1>if we look beyond traditional value, look at some other factors.

0:43:28.480 --> 0:43:31.240
<v Speaker 1>Small cap value has been on a tear. The Russell

0:43:31.320 --> 0:43:35.319
<v Speaker 1>two thousand exploded in the second half of this year.

0:43:35.840 --> 0:43:38.919
<v Speaker 1>I think it's substantially outperformed the S and P five.

0:43:39.760 --> 0:43:43.920
<v Speaker 1>So maybe the concept of factor investing and value investing

0:43:43.960 --> 0:43:45.600
<v Speaker 1>is going to be around it in the future. What

0:43:45.640 --> 0:43:50.160
<v Speaker 1>are your thoughts. Well, we're an interesting position right now

0:43:50.239 --> 0:43:55.040
<v Speaker 1>because if you look at academic studies, a good time

0:43:55.080 --> 0:44:00.480
<v Speaker 1>to buy is when both value and momentum degree So

0:44:00.640 --> 0:44:05.759
<v Speaker 1>to your point, we started getting really unexpected news on

0:44:05.840 --> 0:44:11.080
<v Speaker 1>the vaccine, like effectiveness and updates some production capacity we're

0:44:11.120 --> 0:44:15.680
<v Speaker 1>not priced in. I was looking at probabilities produced by

0:44:15.719 --> 0:44:19.680
<v Speaker 1>the group called the super Forecasters, and the forecast was

0:44:21.280 --> 0:44:27.000
<v Speaker 1>chance that we get million doses before March. So coin

0:44:27.080 --> 0:44:30.560
<v Speaker 1>toss Feiser came out with their news and to illustrate

0:44:30.560 --> 0:44:33.760
<v Speaker 1>how that was not priced in, that probability immediately jumped

0:44:33.800 --> 0:44:38.080
<v Speaker 1>to eighty eight and now it's at So that has

0:44:38.280 --> 0:44:44.800
<v Speaker 1>helped those small cap value sectors performed well. They're still

0:44:44.920 --> 0:44:49.319
<v Speaker 1>cheap on a relative basis to other parts of the

0:44:49.400 --> 0:44:55.400
<v Speaker 1>stock market. So you have agreement between positive momentum and

0:44:56.640 --> 0:45:01.880
<v Speaker 1>attractive valuation, which historically across markets is a good time

0:45:01.960 --> 0:45:06.200
<v Speaker 1>to buy into the asset class. Now add to that

0:45:06.360 --> 0:45:09.480
<v Speaker 1>the macro factor. You can check the macro box too,

0:45:09.520 --> 0:45:14.000
<v Speaker 1>because we're in a recovery from a fairly drastic shock,

0:45:14.680 --> 0:45:16.920
<v Speaker 1>but you can think that there is a fair amount

0:45:16.920 --> 0:45:19.600
<v Speaker 1>of pent up demand in the economy and that you

0:45:19.760 --> 0:45:25.840
<v Speaker 1>over year comfortables will be showing substantial growth and small

0:45:25.920 --> 0:45:28.560
<v Speaker 1>gaps and value tend to be the asset classes of

0:45:28.680 --> 0:45:32.640
<v Speaker 1>choice during an economic recovery, so check that box too,

0:45:33.080 --> 0:45:35.080
<v Speaker 1>and then you can, to a certain extent check the

0:45:35.120 --> 0:45:38.600
<v Speaker 1>sentiment and technicals box as well. So the starts are

0:45:38.640 --> 0:45:43.440
<v Speaker 1>starting to align at the sixth to eight horizon for

0:45:43.600 --> 0:45:48.319
<v Speaker 1>the recovery trade. However, it's really going to be a

0:45:48.360 --> 0:45:53.040
<v Speaker 1>bumpy ride. And as we're recording this webcast Barrier, we're

0:45:53.040 --> 0:46:00.600
<v Speaker 1>getting some worrisome news about how devastating this new way

0:46:00.640 --> 0:46:04.280
<v Speaker 1>of the virus is while we're waiting for the vaccine

0:46:04.440 --> 0:46:08.600
<v Speaker 1>to be deployed, including mutations, travel restrictions, and so on.

0:46:09.040 --> 0:46:12.920
<v Speaker 1>So it's the fact that the destination is pretty clear,

0:46:13.000 --> 0:46:17.399
<v Speaker 1>but the path to get there is treacherous. So you

0:46:17.760 --> 0:46:20.600
<v Speaker 1>bring up so many interesting points I have to ask

0:46:20.640 --> 0:46:25.720
<v Speaker 1>you about. One is the combination of momentum and value,

0:46:26.520 --> 0:46:30.920
<v Speaker 1>combining the two. My friend Wes Gray at Alpha Architects

0:46:31.000 --> 0:46:36.600
<v Speaker 1>has written about combining momentum and value. The returns are spectacular,

0:46:37.200 --> 0:46:41.680
<v Speaker 1>but the volatility he describes as just so horrific. Even

0:46:41.760 --> 0:46:46.080
<v Speaker 1>God couldn't manage that portfolio. Um. Eventually, clients would just

0:46:46.120 --> 0:46:50.520
<v Speaker 1>screen bloody murder because the drawdowns are so brutal. How

0:46:50.560 --> 0:46:54.080
<v Speaker 1>do you deal with things like that? Obviously that's an

0:46:54.080 --> 0:46:57.239
<v Speaker 1>extreme but how do you deal with the drawdowns and

0:46:57.280 --> 0:47:02.600
<v Speaker 1>the volatility. I know it's the price of admission for performance,

0:47:02.719 --> 0:47:07.080
<v Speaker 1>but clients have a really hard time living through those

0:47:07.160 --> 0:47:12.080
<v Speaker 1>periods where you know you're underperforming, and sometimes if you've

0:47:12.080 --> 0:47:17.319
<v Speaker 1>been a global value investor, significantly underperforming. Yeah, let me

0:47:17.360 --> 0:47:21.680
<v Speaker 1>give you a kind of pity answer, but I think

0:47:21.719 --> 0:47:25.680
<v Speaker 1>it's important, and then a more philosophical answer. The kind

0:47:25.719 --> 0:47:30.080
<v Speaker 1>of immediate answer is, look, implementation matters as well. If

0:47:30.080 --> 0:47:34.239
<v Speaker 1>you make a statement like when value and momentum agree

0:47:34.440 --> 0:47:37.160
<v Speaker 1>it's a good time to buy, and you design a

0:47:37.239 --> 0:47:40.960
<v Speaker 1>strategy to take advantage of that, the strategy that you

0:47:41.120 --> 0:47:44.960
<v Speaker 1>actually design and the way you implement that broad concept

0:47:45.560 --> 0:47:50.280
<v Speaker 1>can lead to vastly different exposure to loss and vastly

0:47:50.360 --> 0:47:54.600
<v Speaker 1>different performance over time. So it's a broad statement where

0:47:54.760 --> 0:47:59.920
<v Speaker 1>implementation and risk management practices matter quite a bit. So

0:48:00.160 --> 0:48:05.080
<v Speaker 1>that's very few of my pity answer. But philosophically, if

0:48:05.719 --> 0:48:08.239
<v Speaker 1>I need someone in an elevator and you give me

0:48:08.320 --> 0:48:13.160
<v Speaker 1>thirty seconds to give investment advice between floors two and four,

0:48:14.320 --> 0:48:17.479
<v Speaker 1>I'm going to say stay invested for the long run

0:48:18.239 --> 0:48:22.200
<v Speaker 1>and stay diversified. So those are probably the two most

0:48:23.200 --> 0:48:26.879
<v Speaker 1>generic pieces of investment advice, but I think they're important

0:48:27.120 --> 0:48:34.320
<v Speaker 1>where it gets complicated. Uh is Again in terms of implementation,

0:48:34.400 --> 0:48:38.480
<v Speaker 1>diversification means different things depending on what you have on

0:48:38.520 --> 0:48:43.600
<v Speaker 1>the menu, what you diversify across, and depending on which

0:48:43.680 --> 0:48:46.600
<v Speaker 1>market environment you look at. The big theme in my

0:48:46.719 --> 0:48:51.400
<v Speaker 1>book is that diversification, you know, between risk assets, it

0:48:51.480 --> 0:48:55.400
<v Speaker 1>actually works really well when markets are rallying, which is

0:48:55.719 --> 0:48:58.040
<v Speaker 1>if you think about it when you don't want it,

0:48:58.640 --> 0:49:03.480
<v Speaker 1>and it really doesn't work when markets are crashing, as

0:49:03.520 --> 0:49:06.319
<v Speaker 1>we've seen this year in q Won during COVID. So

0:49:06.880 --> 0:49:10.680
<v Speaker 1>while this is generic, I think important advice again the

0:49:10.719 --> 0:49:13.719
<v Speaker 1>implementation of how you divers find the title of my

0:49:13.760 --> 0:49:18.280
<v Speaker 1>book is beyond diversification. What you do beyond that matters

0:49:19.040 --> 0:49:24.120
<v Speaker 1>quite a lot. But if you look over time, staying

0:49:24.320 --> 0:49:30.880
<v Speaker 1>invested is probably the most important of the two pieces

0:49:30.960 --> 0:49:36.319
<v Speaker 1>of advice, because over time, if you can weather exposure

0:49:36.360 --> 0:49:39.799
<v Speaker 1>to loss, especially in the low rate environment where you're

0:49:39.800 --> 0:49:43.640
<v Speaker 1>not going to get anything out of bonds anyways, if

0:49:43.680 --> 0:49:47.600
<v Speaker 1>your time horizon is long enough, it will pay off.

0:49:48.160 --> 0:49:52.040
<v Speaker 1>So there's investor psychology in there. And I'm guessing a

0:49:52.040 --> 0:49:56.640
<v Speaker 1>lot of financial advisors are listening to your podcasts and

0:49:56.680 --> 0:49:58.960
<v Speaker 1>they're probably throwing their phones on the wall at me,

0:49:59.160 --> 0:50:04.040
<v Speaker 1>right now, because if you're a financial advisor, investors psychologies

0:50:04.080 --> 0:50:06.000
<v Speaker 1>what you have to deal with with your clients and

0:50:06.080 --> 0:50:09.120
<v Speaker 1>day today, and your role is essentially to tell them

0:50:09.120 --> 0:50:13.440
<v Speaker 1>not to sell in March and if anything, to add

0:50:13.480 --> 0:50:17.600
<v Speaker 1>back to risk assets. I'm not making light of investor psychology.

0:50:17.600 --> 0:50:21.360
<v Speaker 1>It is quite important factor, especially for financial advisors that

0:50:21.440 --> 0:50:24.800
<v Speaker 1>deal with clients you know, day today. So we've talked

0:50:24.840 --> 0:50:28.040
<v Speaker 1>about hamburgers and beer. We've talked about stocks and bonds.

0:50:28.080 --> 0:50:32.040
<v Speaker 1>We haven't talked about private assets like venture capital or

0:50:32.080 --> 0:50:35.840
<v Speaker 1>private equity, or structured notes or any of the other

0:50:36.800 --> 0:50:40.640
<v Speaker 1>non publicly traded items that are out there. What are

0:50:40.719 --> 0:50:44.880
<v Speaker 1>your views, given lowered expected returns for stocks and lowered

0:50:44.880 --> 0:50:48.600
<v Speaker 1>expected returns for bonds, what are your views on these

0:50:49.040 --> 0:50:55.239
<v Speaker 1>various private, not publicly traded assets. Within asset allocation and

0:50:55.280 --> 0:50:59.120
<v Speaker 1>the world of diversification, private assets can have a role

0:50:59.360 --> 0:51:02.920
<v Speaker 1>in many of folios, but there are not a free lunch,

0:51:03.080 --> 0:51:07.960
<v Speaker 1>and many investors think of private assets as a free lunch,

0:51:08.040 --> 0:51:12.560
<v Speaker 1>private equity in particular. This is fascinating. But if you

0:51:12.719 --> 0:51:16.960
<v Speaker 1>ask me, uh, in the context of what I mentioned

0:51:17.000 --> 0:51:19.720
<v Speaker 1>earlier that I wrote my book in part to bring

0:51:19.880 --> 0:51:25.440
<v Speaker 1>academic finance into the industry into the practice of asset allocation.

0:51:26.040 --> 0:51:31.520
<v Speaker 1>If you ask me where academic research and investment practice

0:51:32.400 --> 0:51:37.560
<v Speaker 1>disagree the most, the biggest chasm in our industry between

0:51:37.640 --> 0:51:41.799
<v Speaker 1>the two, I'll tell you it's on the performance of

0:51:41.840 --> 0:51:45.920
<v Speaker 1>private assets over time. And you see a lot of

0:51:46.000 --> 0:51:50.960
<v Speaker 1>numbers that suggest that private equity outperforms public equity. Buy

0:51:51.040 --> 0:51:55.480
<v Speaker 1>a lot both an absolute and in a risk adjusted basis.

0:51:55.920 --> 0:51:59.959
<v Speaker 1>And then if you dig into academic research where people

0:52:00.000 --> 0:52:05.040
<v Speaker 1>will actually scrub the data and they remove zombie valuations

0:52:05.120 --> 0:52:10.520
<v Speaker 1>from the database and the account properly for survivorship bias

0:52:10.640 --> 0:52:15.239
<v Speaker 1>and reporting bias, and the account properly for the timing

0:52:15.440 --> 0:52:19.719
<v Speaker 1>of cash flows coming in and out, you start uncovering

0:52:20.000 --> 0:52:23.279
<v Speaker 1>a completely different story. There's an academics done a lot

0:52:23.360 --> 0:52:25.520
<v Speaker 1>of research on that. I quote him in my book

0:52:25.600 --> 0:52:28.719
<v Speaker 1>is then as Ludovic Value Book, and he shows in

0:52:28.800 --> 0:52:32.120
<v Speaker 1>some of his papers that actually private equity over long

0:52:32.200 --> 0:52:36.080
<v Speaker 1>periods of time can actually underperform public equities. Now, there's

0:52:36.080 --> 0:52:40.560
<v Speaker 1>a wide range uh within private equity and it depends

0:52:40.960 --> 0:52:44.719
<v Speaker 1>who you invest with. But it's it's a fascinating it's

0:52:44.719 --> 0:52:49.320
<v Speaker 1>a it's a gigantic chasm between industry and academic research.

0:52:50.280 --> 0:52:53.560
<v Speaker 1>The takeaway talk about this in my book it is

0:52:53.560 --> 0:52:56.080
<v Speaker 1>that it's not it's just not a free launch. You

0:52:56.080 --> 0:52:59.240
<v Speaker 1>need to account for the risk properly. You can earn

0:52:59.360 --> 0:53:02.840
<v Speaker 1>a liquidity premium, but it is like shorting an option

0:53:03.320 --> 0:53:06.640
<v Speaker 1>to a certain extent, if you will and if you

0:53:06.680 --> 0:53:10.080
<v Speaker 1>have the right approach to it. Uh, there's there's nothing

0:53:10.120 --> 0:53:12.920
<v Speaker 1>wrong with private assets and private equity. They're just not

0:53:13.280 --> 0:53:16.120
<v Speaker 1>the free lunch investors are making an amount to be

0:53:16.280 --> 0:53:19.840
<v Speaker 1>and I think your investors have just have to be

0:53:19.840 --> 0:53:22.279
<v Speaker 1>careful when they think about those types of investments because

0:53:22.280 --> 0:53:25.400
<v Speaker 1>they're not as transparent as public markets. Right, clearly not

0:53:25.480 --> 0:53:28.759
<v Speaker 1>as transparent. You bring up two really interesting points about

0:53:28.800 --> 0:53:33.759
<v Speaker 1>private equity. One is the liquidity premium. You're looking for

0:53:33.880 --> 0:53:38.320
<v Speaker 1>a bigger payout in exchange for locking up your capital

0:53:38.360 --> 0:53:43.279
<v Speaker 1>for a longer period of time. But there's also the

0:53:43.320 --> 0:53:47.239
<v Speaker 1>selection process. Go back just a couple of decades, there

0:53:47.239 --> 0:53:50.399
<v Speaker 1>were a few hundred private equity firms. Now I think

0:53:50.440 --> 0:53:54.320
<v Speaker 1>the last number is something like eleven thousand private equity funds.

0:53:54.400 --> 0:53:59.360
<v Speaker 1>How is an individual investor or even an institution supposed

0:53:59.400 --> 0:54:04.520
<v Speaker 1>to make at decision about where to allocate capital to?

0:54:04.640 --> 0:54:07.520
<v Speaker 1>Which private equity firm yeah, you know, you have to

0:54:07.560 --> 0:54:11.160
<v Speaker 1>be really careful in their advisors that specialize in that

0:54:11.400 --> 0:54:15.200
<v Speaker 1>to taking the investors side, or consultants for example that

0:54:15.239 --> 0:54:20.200
<v Speaker 1>can help institutional investors. Individual investors have to be extra

0:54:20.239 --> 0:54:23.920
<v Speaker 1>careful and work with their financial advisors. I think you

0:54:24.120 --> 0:54:29.799
<v Speaker 1>really have to not just jump in based on the

0:54:29.840 --> 0:54:34.800
<v Speaker 1>Google search, if you will, because really an asset class,

0:54:34.920 --> 0:54:37.399
<v Speaker 1>this is an asset class where the top quartile can

0:54:37.440 --> 0:54:41.879
<v Speaker 1>be very different from the bottom quartile, probably even more

0:54:41.960 --> 0:54:46.280
<v Speaker 1>than in public markets. I do think that the factors

0:54:46.320 --> 0:54:50.600
<v Speaker 1>for success in those markets resemble the factors for success

0:54:50.640 --> 0:54:58.080
<v Speaker 1>and active management in public markets. Depth of resources, replicability

0:54:58.280 --> 0:55:04.959
<v Speaker 1>of a proven process, us a philosophy that is consistent

0:55:05.360 --> 0:55:09.560
<v Speaker 1>over time, experience, and so on. So you want to

0:55:09.560 --> 0:55:13.080
<v Speaker 1>look for those factors as well. Huh, quite interesting. I

0:55:13.120 --> 0:55:17.759
<v Speaker 1>have a couple of more questions on asset allocation and

0:55:17.800 --> 0:55:21.240
<v Speaker 1>investing in general. I kind of ran past the fact

0:55:21.719 --> 0:55:25.880
<v Speaker 1>that you sit on a committee for the Institute for

0:55:26.000 --> 0:55:30.200
<v Speaker 1>Quantitative Research, and I just wanted to get your thoughts

0:55:30.400 --> 0:55:35.080
<v Speaker 1>on the rise of quantitative investing, which has become so

0:55:35.239 --> 0:55:39.520
<v Speaker 1>popular along with factor based investing and generally the use

0:55:39.600 --> 0:55:43.640
<v Speaker 1>of high powered computers and algorithms, tell us a little

0:55:43.640 --> 0:55:48.280
<v Speaker 1>bit about your views on quant I like active versus passive,

0:55:48.360 --> 0:55:53.440
<v Speaker 1>there's a place for both quantitative and fundamental, and in

0:55:53.480 --> 0:55:57.880
<v Speaker 1>the case of quant versus fundamental, the intersection of both

0:55:58.200 --> 0:56:04.320
<v Speaker 1>is what fascinates me. And if you set aside applications

0:56:04.440 --> 0:56:09.200
<v Speaker 1>in high frequency trading, for example, where really the technology

0:56:09.640 --> 0:56:13.360
<v Speaker 1>is the advantage and the researches the advantage, and you

0:56:13.440 --> 0:56:17.879
<v Speaker 1>go to what we do, which is tactical assallocation, strategic

0:56:17.920 --> 0:56:22.640
<v Speaker 1>asset allocation, or even for stock pickers in general, you know,

0:56:22.760 --> 0:56:31.840
<v Speaker 1>you fundamentals matter, and experience matters, and if you're able

0:56:31.960 --> 0:56:41.400
<v Speaker 1>to bring together quantitative insights with data and judgment and experience,

0:56:42.320 --> 0:56:45.640
<v Speaker 1>I think you can get a more robust investment process

0:56:45.680 --> 0:56:48.360
<v Speaker 1>in a lot of cases. Look, I just want to

0:56:48.360 --> 0:56:51.920
<v Speaker 1>be clear. There's a place for systematic quantitative strategies to

0:56:52.040 --> 0:56:56.640
<v Speaker 1>stand alone. There's a place for fundamental stock picking, for example,

0:56:57.080 --> 0:57:00.520
<v Speaker 1>but there's a in between as a tremendous amount that

0:57:00.640 --> 0:57:04.400
<v Speaker 1>our industry can do bringing both together. And I dedicate

0:57:05.120 --> 0:57:09.799
<v Speaker 1>a lot of my book about this, and Barry there's

0:57:09.840 --> 0:57:13.160
<v Speaker 1>a story at the beginning of the book about a

0:57:13.239 --> 0:57:17.160
<v Speaker 1>quantitative research conference that I was sitting at several years

0:57:17.200 --> 0:57:22.840
<v Speaker 1>ago when a fundamental investor basically raised their hand and

0:57:23.000 --> 0:57:29.600
<v Speaker 1>asked a pretty rude question amongst quantitative peers or investors,

0:57:29.840 --> 0:57:33.760
<v Speaker 1>and he basically said, you know, your models for forecasting

0:57:33.880 --> 0:57:40.880
<v Speaker 1>returns are not valid because they're basically garbage in, and

0:57:41.080 --> 0:57:45.320
<v Speaker 1>if you use a portfolio optimization model, it's going to

0:57:45.400 --> 0:57:51.040
<v Speaker 1>be garbage out. So why use quantitative methods at all?

0:57:52.240 --> 0:57:57.000
<v Speaker 1>And I'll always remember the presenter was a well regarded

0:57:57.280 --> 0:58:02.240
<v Speaker 1>thought leader, someone who's traveled academia and practice. I always

0:58:02.320 --> 0:58:05.560
<v Speaker 1>remember what he answered. His answer. It stayed with me

0:58:05.600 --> 0:58:08.800
<v Speaker 1>and I've used it over time. He looked at the

0:58:08.840 --> 0:58:12.160
<v Speaker 1>presenter and he was clearly he just landed his clearly

0:58:12.240 --> 0:58:14.280
<v Speaker 1>jet lacks a little bit patient. He looked at the

0:58:14.360 --> 0:58:17.400
<v Speaker 1>presenter and he said, if you don't, and this was

0:58:17.480 --> 0:58:20.480
<v Speaker 1>more reply to the garbage in, garbage out or so

0:58:20.600 --> 0:58:23.240
<v Speaker 1>called guy Goo critique. So if you don't think you

0:58:23.280 --> 0:58:29.040
<v Speaker 1>can forecast expected returns, you shouldn't be an investment business.

0:58:30.120 --> 0:58:34.439
<v Speaker 1>And the point is that investing is about forecasting. When

0:58:34.440 --> 0:58:37.640
<v Speaker 1>we invest, no matter what, we make a judgment about

0:58:37.680 --> 0:58:40.520
<v Speaker 1>the future, in the way we allocate our portfolio, in

0:58:40.560 --> 0:58:44.200
<v Speaker 1>the way we position our portfolio, so there are quite

0:58:44.200 --> 0:58:46.560
<v Speaker 1>a few chapters in my book that are about how

0:58:46.600 --> 0:58:49.520
<v Speaker 1>do you use a quantitative process. We were just talking

0:58:49.560 --> 0:58:53.720
<v Speaker 1>about value and momentum and when both agree, how do

0:58:53.720 --> 0:58:57.360
<v Speaker 1>you use data and insights like that but make them

0:58:57.400 --> 0:59:02.400
<v Speaker 1>relevant for the current more kind environment. And in that

0:59:02.520 --> 0:59:07.280
<v Speaker 1>intersection you can create a replicable process where there's room

0:59:07.360 --> 0:59:13.760
<v Speaker 1>for judgment, and uh, you can succeed as an investor. So, Barry,

0:59:13.840 --> 0:59:16.520
<v Speaker 1>I'm pontificating a lot, but this is a question that

0:59:16.560 --> 0:59:20.280
<v Speaker 1>I've thought about while writing my book and throughout my

0:59:20.440 --> 0:59:24.720
<v Speaker 1>career because in a sense, like I've straddled bottom up

0:59:24.760 --> 0:59:29.600
<v Speaker 1>and top down investing, I've also straddled quantitative and fundamental investing,

0:59:29.720 --> 0:59:33.040
<v Speaker 1>especially over the last five to ten years of my career.

0:59:33.840 --> 0:59:37.760
<v Speaker 1>Very interesting, there was something in one of your writings

0:59:37.800 --> 0:59:40.600
<v Speaker 1>I don't remember which that I made a note I

0:59:40.680 --> 0:59:44.400
<v Speaker 1>have to ask you about because it's so counterintuitive, and

0:59:44.520 --> 0:59:49.040
<v Speaker 1>it's the longer the stream of historical investment data, the

0:59:49.120 --> 0:59:54.560
<v Speaker 1>better true or false. I'm going to say falls just

0:59:54.680 --> 0:59:58.080
<v Speaker 1>to be a bit controversial that the real answer would

0:59:58.080 --> 1:00:02.400
<v Speaker 1>be just not always of academics like to go back

1:00:02.440 --> 1:00:08.600
<v Speaker 1>to the early nineteen hundreds right to create robust data sets.

1:00:08.600 --> 1:00:11.200
<v Speaker 1>But if you think about it, the data back then,

1:00:12.360 --> 1:00:14.920
<v Speaker 1>I don't know, you know, we didn't have computers, we

1:00:14.920 --> 1:00:17.720
<v Speaker 1>didn't have cars. People use like a horse and buggy

1:00:17.800 --> 1:00:24.000
<v Speaker 1>to get around. So many financial advisors, for example, will

1:00:24.000 --> 1:00:28.240
<v Speaker 1>think about investment policy statements or strategic asset allocations for

1:00:28.320 --> 1:00:32.720
<v Speaker 1>their clients based on long term data on return and risk,

1:00:32.760 --> 1:00:38.040
<v Speaker 1>and they'll average across different risk regimes um well. First

1:00:38.040 --> 1:00:42.080
<v Speaker 1>of all, in the book, I show that higher frequency,

1:00:42.720 --> 1:00:47.240
<v Speaker 1>shorter term data are more predictive of risk going forward

1:00:48.040 --> 1:00:52.560
<v Speaker 1>than the longer term data, just from a risk forecasting perspective.

1:00:53.320 --> 1:00:57.440
<v Speaker 1>The other issue is that the fluctuation in sector weights

1:00:58.160 --> 1:01:01.840
<v Speaker 1>within asset classes make it such that if I use

1:01:02.800 --> 1:01:06.320
<v Speaker 1>in my model old data from the SMP five data

1:01:06.360 --> 1:01:08.600
<v Speaker 1>from a long time ago, I'm looking at a different

1:01:08.640 --> 1:01:12.439
<v Speaker 1>sector composition. For example, right technology sector in the SMP

1:01:12.560 --> 1:01:16.200
<v Speaker 1>five has been really really on stable from five of

1:01:16.240 --> 1:01:21.400
<v Speaker 1>the index. It actually reached in during dot Com, then

1:01:21.400 --> 1:01:24.960
<v Speaker 1>it declined back to fifteen in two thousand five and

1:01:25.040 --> 1:01:29.080
<v Speaker 1>now stands at So you're really not looking at the

1:01:29.120 --> 1:01:32.120
<v Speaker 1>same asset class. If you use this to do a

1:01:32.200 --> 1:01:36.440
<v Speaker 1>strategic asset allocation, you're basically modeling risk. The risk of

1:01:36.440 --> 1:01:39.760
<v Speaker 1>an asset class that no longer exists, and there are

1:01:39.760 --> 1:01:42.600
<v Speaker 1>other examples of that. Even in bonds, the duration of

1:01:42.640 --> 1:01:47.520
<v Speaker 1>the index has changed, Right, The weight of high quality

1:01:47.560 --> 1:01:53.560
<v Speaker 1>bonds has decreased from two as a share of corporates,

1:01:53.600 --> 1:01:57.040
<v Speaker 1>and the weight that riskier bonds has changed, the duration

1:01:57.120 --> 1:02:02.560
<v Speaker 1>of the Bloomberg Barkley's as has increased, Right, it was

1:02:02.600 --> 1:02:05.040
<v Speaker 1>four and a half years back in two thousand five,

1:02:05.960 --> 1:02:09.360
<v Speaker 1>now it's six seven years. Didn't the SMP break out

1:02:09.520 --> 1:02:14.960
<v Speaker 1>communications from technology? Also, if I'm remembering correctly, within that sector,

1:02:15.480 --> 1:02:18.680
<v Speaker 1>they kind of cleaved it into Yes, the sector weights

1:02:18.800 --> 1:02:22.920
<v Speaker 1>change over time, and even the classification and which stocks

1:02:22.920 --> 1:02:26.560
<v Speaker 1>are included in the index. Emerging markets are another really

1:02:26.560 --> 1:02:30.160
<v Speaker 1>good example. Emerging market used to be very much commodity

1:02:30.240 --> 1:02:35.920
<v Speaker 1>dependent cyclical factors and financials. Emerging markets now have become

1:02:36.080 --> 1:02:38.200
<v Speaker 1>a lot more high tech than they used to. You

1:02:38.240 --> 1:02:41.600
<v Speaker 1>have some large tech platform companies like you have in

1:02:41.640 --> 1:02:45.400
<v Speaker 1>the US in China for example. So I guess the

1:02:45.680 --> 1:02:50.120
<v Speaker 1>point trying to make is that historical data is useful,

1:02:50.280 --> 1:02:53.480
<v Speaker 1>but it's not always the case that the longer your

1:02:53.560 --> 1:02:57.760
<v Speaker 1>data set, the better for your financial risk modeling. And

1:02:57.920 --> 1:03:00.200
<v Speaker 1>one way to get around this is to you is

1:03:00.560 --> 1:03:03.640
<v Speaker 1>factor models, And here I'm talking about looking at how

1:03:04.520 --> 1:03:10.240
<v Speaker 1>the asset classes are composed, what the asset classes look

1:03:10.400 --> 1:03:14.040
<v Speaker 1>right now based on the current factor exposures, and then

1:03:14.080 --> 1:03:19.680
<v Speaker 1>backfill the historical data for those factors. So I guess

1:03:19.680 --> 1:03:22.120
<v Speaker 1>what I'm saying is there are different ways of addressing

1:03:22.160 --> 1:03:26.400
<v Speaker 1>this issue. But you know, is more data always better

1:03:26.480 --> 1:03:31.280
<v Speaker 1>than than more recent or more relevant data? The answers know.

1:03:31.720 --> 1:03:34.760
<v Speaker 1>And part of this also comes down to risk regimes.

1:03:34.840 --> 1:03:37.760
<v Speaker 1>Right you you can forecast the type of regime you

1:03:37.920 --> 1:03:40.480
<v Speaker 1>think you're going to be in and then sample data

1:03:40.560 --> 1:03:43.960
<v Speaker 1>from a similar regime in history. For example, I know

1:03:44.080 --> 1:03:46.480
<v Speaker 1>we only have you for a limited amount of time.

1:03:46.520 --> 1:03:49.000
<v Speaker 1>I only have you for another ten minutes. So let's

1:03:49.040 --> 1:03:51.960
<v Speaker 1>jump to our favorite questions that we ask all of

1:03:51.960 --> 1:03:56.680
<v Speaker 1>our guests, called our speed round, and we'll start with streaming.

1:03:56.760 --> 1:03:59.880
<v Speaker 1>Tell us what you're watching on either Netflix or Amazon Prime,

1:04:00.400 --> 1:04:03.120
<v Speaker 1>or what podcast you might be listening to. What's keeping

1:04:03.160 --> 1:04:07.880
<v Speaker 1>you entertained during lockdown? I love that question. I mean,

1:04:07.920 --> 1:04:10.640
<v Speaker 1>my answer is not going to be very original right now,

1:04:10.680 --> 1:04:14.760
<v Speaker 1>but I just finished Queen's Gambit, which I thought was excellent.

1:04:15.680 --> 1:04:20.960
<v Speaker 1>And the other one is my son. He's thirteen, and um,

1:04:21.200 --> 1:04:26.480
<v Speaker 1>he'd never watch the Lost series and I've never I've

1:04:26.520 --> 1:04:29.560
<v Speaker 1>never watched it either, So we've just started from the beginning.

1:04:30.360 --> 1:04:33.560
<v Speaker 1>We're in season two of the Lost series, which is

1:04:33.600 --> 1:04:37.480
<v Speaker 1>a an older show, but we're really enjoying enjoying it,

1:04:37.560 --> 1:04:41.800
<v Speaker 1>so Buried. No, no spoilers, please, I haven't seen any

1:04:41.840 --> 1:04:43.880
<v Speaker 1>of it, so, uh, you don't have to worry about

1:04:43.880 --> 1:04:47.360
<v Speaker 1>spoilers from me. You mentioned one of your mentors earlier

1:04:47.400 --> 1:04:51.120
<v Speaker 1>in your career. Tell us who helped to shape your career,

1:04:51.640 --> 1:04:55.800
<v Speaker 1>who gave you guidance as to both, um, how your

1:04:55.880 --> 1:05:00.280
<v Speaker 1>jobs progressed and your own investment philosophy. Let me named

1:05:00.280 --> 1:05:03.720
<v Speaker 1>two mentors. First, my father. I talked about him in

1:05:03.760 --> 1:05:07.120
<v Speaker 1>my book. He was a finance professor for forty years.

1:05:07.760 --> 1:05:12.200
<v Speaker 1>I even took a couple of his classes. Second mentor

1:05:12.400 --> 1:05:17.320
<v Speaker 1>was Mark Kritzman. He is CEO of Wyndham Capital. He

1:05:17.400 --> 1:05:22.280
<v Speaker 1>also teaches finance at the m I T. And there's

1:05:22.320 --> 1:05:24.360
<v Speaker 1>a story I like to tell about the early days

1:05:24.400 --> 1:05:28.280
<v Speaker 1>of my collaboration with Mark Kritzman. Back before the year

1:05:28.320 --> 1:05:32.000
<v Speaker 1>two thousand, I didn't speak much English. I grew up Canadian,

1:05:32.280 --> 1:05:36.280
<v Speaker 1>and I interviewed with Mark for research internship. I don't

1:05:36.280 --> 1:05:39.200
<v Speaker 1>think it was a good interview, except that I'd read

1:05:39.240 --> 1:05:42.240
<v Speaker 1>every single paper he had published up to that point

1:05:42.360 --> 1:05:46.480
<v Speaker 1>and fought and still think he's a genius. But he

1:05:46.600 --> 1:05:48.880
<v Speaker 1>was reluctant. You know, he had access to the best

1:05:48.880 --> 1:05:52.240
<v Speaker 1>students from the best universities in the US, but he

1:05:52.320 --> 1:05:57.240
<v Speaker 1>was pressured into uh this interview by my professor. And

1:05:57.440 --> 1:05:59.840
<v Speaker 1>he also had a business relationship with Mark and with

1:06:00.120 --> 1:06:04.600
<v Speaker 1>State Street. And I'll just say that I learned years later,

1:06:04.680 --> 1:06:07.960
<v Speaker 1>over a glass of wine that Mark had pushed back

1:06:08.040 --> 1:06:11.360
<v Speaker 1>really hard from taking me on as a research intern.

1:06:11.440 --> 1:06:14.160
<v Speaker 1>Apparently he had said, and I quote, I don't care

1:06:14.200 --> 1:06:17.760
<v Speaker 1>if he's free, because we didn't. I was. I was

1:06:17.760 --> 1:06:20.880
<v Speaker 1>writing my thesis for my master's degree, so I wasn't

1:06:21.000 --> 1:06:25.200
<v Speaker 1>There was no uh pain salary involved. Apparently it said,

1:06:25.280 --> 1:06:27.920
<v Speaker 1>I don't care if he's free. My time is not free.

1:06:28.560 --> 1:06:30.520
<v Speaker 1>H This was This was over a glass of wine

1:06:30.560 --> 1:06:33.040
<v Speaker 1>a few years later at the time, though back then

1:06:33.080 --> 1:06:35.560
<v Speaker 1>all I got was a call from State Street UH

1:06:35.640 --> 1:06:38.640
<v Speaker 1>in Montreal saying, Hey, Mark kn't wait to wait to

1:06:38.680 --> 1:06:40.720
<v Speaker 1>work with you. He's very excited that you're going to

1:06:40.880 --> 1:06:46.000
<v Speaker 1>come to Boston. Ultimately, I did this research project for

1:06:46.080 --> 1:06:48.280
<v Speaker 1>him as an intern, and he ended up mentoring me

1:06:48.360 --> 1:06:51.160
<v Speaker 1>for over ten years and we've co authored a lot

1:06:51.160 --> 1:06:55.400
<v Speaker 1>of papers together. I like to say, basically everything I

1:06:55.440 --> 1:06:58.800
<v Speaker 1>know about quant finance and assocation I've learned from Mark. Huh.

1:06:59.000 --> 1:07:02.320
<v Speaker 1>Quite quite interesting. Let's talk about books. Tell us some

1:07:02.400 --> 1:07:05.760
<v Speaker 1>of your favorites and what are you reading right now? Okay,

1:07:05.760 --> 1:07:09.439
<v Speaker 1>So I love to read. That's it's very hard to

1:07:09.520 --> 1:07:13.720
<v Speaker 1>answer when you read, you know, fifty plus books a year.

1:07:13.840 --> 1:07:19.000
<v Speaker 1>I generally read about business, philosophy, some history, psychology, sports.

1:07:19.240 --> 1:07:25.040
<v Speaker 1>I just I read nonfiction. I love memoirs and biography. Uh.

1:07:25.080 --> 1:07:28.960
<v Speaker 1>And I was told I knew you might ask that question,

1:07:29.440 --> 1:07:32.720
<v Speaker 1>so I I prepared a few books by category. I

1:07:32.760 --> 1:07:36.960
<v Speaker 1>know I'm cheating, but business, I would say. A recent

1:07:37.000 --> 1:07:39.280
<v Speaker 1>book i've read is The Right of a Lifetime by

1:07:39.440 --> 1:07:45.400
<v Speaker 1>Bob iger uh X, CEO of Disney. Excellent, very well written,

1:07:45.480 --> 1:07:50.840
<v Speaker 1>lots of business wisdom, sports sports memoirs. This is an

1:07:50.840 --> 1:07:54.840
<v Speaker 1>older one open by Andre Agassi, and even if you're

1:07:54.840 --> 1:07:58.360
<v Speaker 1>going into tennis, it's just a fantastic book to read.

1:07:59.080 --> 1:08:04.120
<v Speaker 1>Another one, maybe less well known, is by an ultra runner,

1:08:04.280 --> 1:08:07.520
<v Speaker 1>and even if you're not into ultra running, is worth reading.

1:08:08.000 --> 1:08:13.400
<v Speaker 1>The book is titled North by Scott Jerich and it's

1:08:13.440 --> 1:08:18.479
<v Speaker 1>about how he broke the record for running through the

1:08:18.720 --> 1:08:23.320
<v Speaker 1>entire appellash Appellachian trail on the East Coast. Another one

1:08:23.320 --> 1:08:26.280
<v Speaker 1>that's good is Can't Hurt Me by David Goggin's If

1:08:26.320 --> 1:08:30.120
<v Speaker 1>you want motivation help, there's a book called Why We

1:08:30.200 --> 1:08:34.280
<v Speaker 1>Sleep that I recommend for everybody to realize how important

1:08:34.320 --> 1:08:41.160
<v Speaker 1>sleep is. Productivity. Deep Work by Cal Newport's is one

1:08:41.200 --> 1:08:44.080
<v Speaker 1>of the best books on time management I've ever read.

1:08:45.080 --> 1:08:48.840
<v Speaker 1>Un philosophy or dealing with change an uncertainty. I would

1:08:48.840 --> 1:08:53.439
<v Speaker 1>say anything on stoicism is interesting. Books by Ryan Holiday,

1:08:53.479 --> 1:08:56.040
<v Speaker 1>like The Obstacle is the Way, Stillness is the Key.

1:08:56.080 --> 1:09:00.479
<v Speaker 1>Those are excellent books. Entertainment, entertaining, business Story is Bad,

1:09:00.560 --> 1:09:03.760
<v Speaker 1>the book about There No Nos Bad Blood was fantastic,

1:09:04.439 --> 1:09:08.559
<v Speaker 1>and just finished Billion Dollar Loser about We Work, which

1:09:08.600 --> 1:09:12.160
<v Speaker 1>is also a fascinating story. So Barry, you asked for one,

1:09:12.400 --> 1:09:15.960
<v Speaker 1>I gave nine or ten apologies for that. No, not

1:09:16.040 --> 1:09:19.320
<v Speaker 1>at all. Everybody loves loves those answers. Um, it's it's

1:09:19.880 --> 1:09:23.599
<v Speaker 1>I think that's people's favorite question. Let's talk about recent

1:09:23.640 --> 1:09:27.280
<v Speaker 1>college graduates who are interested in a career in asset

1:09:27.320 --> 1:09:30.720
<v Speaker 1>allocation or wealth management. What sort of advice would you

1:09:30.760 --> 1:09:33.840
<v Speaker 1>give them? But this is mostly advice I've gotten from

1:09:33.840 --> 1:09:37.759
<v Speaker 1>Mark Chritsman mentioned him earlier. First, always look to build

1:09:37.800 --> 1:09:41.120
<v Speaker 1>your human capital, and by that I mean your network

1:09:41.360 --> 1:09:45.800
<v Speaker 1>of industry contacts. You could be your publications and journals,

1:09:45.840 --> 1:09:49.760
<v Speaker 1>your retritation and the conference circuit could be your education

1:09:49.840 --> 1:09:55.160
<v Speaker 1>credentials for example, the cf A charter. Anything that differentiates

1:09:55.200 --> 1:09:59.160
<v Speaker 1>you from your peers and that ultimately no one can

1:09:59.160 --> 1:10:03.560
<v Speaker 1>take away from. It's your own human capital. Second, I

1:10:03.640 --> 1:10:08.840
<v Speaker 1>would tell people starting their careers stay close to revenues. Uh.

1:10:08.920 --> 1:10:11.160
<v Speaker 1>In a lot of jobs it means staying in front

1:10:11.200 --> 1:10:15.559
<v Speaker 1>of clients, but it might also an investment management mean

1:10:15.720 --> 1:10:19.719
<v Speaker 1>to stay close to investment decision making, but stay close

1:10:19.760 --> 1:10:22.599
<v Speaker 1>to revenues because your role in the value chain will

1:10:22.640 --> 1:10:27.680
<v Speaker 1>be more motivating and more obvious. The other one I

1:10:27.720 --> 1:10:33.479
<v Speaker 1>would say is sometimes this underestimated emphasized communication. When you

1:10:33.600 --> 1:10:38.559
<v Speaker 1>move from being a student to working in the real world,

1:10:38.920 --> 1:10:42.000
<v Speaker 1>you move from from an environment where it's it's basically

1:10:42.040 --> 1:10:44.880
<v Speaker 1>a meritocracy. Right. You study hard, you get good grades,

1:10:45.640 --> 1:10:52.000
<v Speaker 1>but but in corporate life, collaboration, teamwork are really really essential.

1:10:52.320 --> 1:10:57.960
<v Speaker 1>So maybe as a student your success is from your

1:10:57.960 --> 1:11:01.960
<v Speaker 1>own intellectual merit and how hard you study. On the job,

1:11:02.560 --> 1:11:05.400
<v Speaker 1>you'll realize that even for the most technical of roles,

1:11:06.520 --> 1:11:10.840
<v Speaker 1>maybe about just as half of your success, maybe more

1:11:11.160 --> 1:11:16.080
<v Speaker 1>is determined by how well you communicate. Because in corporate life,

1:11:16.120 --> 1:11:19.439
<v Speaker 1>collaboration and teamwork are so essential to success, especially in

1:11:20.080 --> 1:11:25.920
<v Speaker 1>side large organizations. So don't neglect communication. Uh. Lastly, I

1:11:25.920 --> 1:11:29.920
<v Speaker 1>would say, just your just your perspective. Talked about the

1:11:29.960 --> 1:11:34.120
<v Speaker 1>secret to happiness in life earlier. Lower your expectations. I

1:11:34.160 --> 1:11:39.599
<v Speaker 1>think managing your expectations is important, not getting worried about

1:11:39.800 --> 1:11:43.719
<v Speaker 1>short term setbacks. Just look at the long term trend

1:11:44.439 --> 1:11:47.880
<v Speaker 1>and make decisions based on the long term trend in

1:11:47.920 --> 1:11:52.559
<v Speaker 1>your career, not short term setbacks. And last one, I

1:11:52.560 --> 1:11:54.880
<v Speaker 1>will say, take care of yourself. You know, all the

1:11:54.920 --> 1:11:59.040
<v Speaker 1>advice you can give people starting your careers, I think

1:11:59.080 --> 1:12:02.960
<v Speaker 1>that's the that's the most important one. Diet, exercise, sleep,

1:12:03.040 --> 1:12:06.799
<v Speaker 1>All these things reinforce each other. It's like a virtuous circle.

1:12:06.880 --> 1:12:10.400
<v Speaker 1>You can't you can't take one away, right, Well, you'll

1:12:10.439 --> 1:12:15.280
<v Speaker 1>have more energy to exercise, exercise, you'll sleep better, sleep better,

1:12:15.400 --> 1:12:18.120
<v Speaker 1>you'll have more self discipline. With your diet. The next

1:12:18.200 --> 1:12:21.400
<v Speaker 1>day you get the idea. It's a virtuous circle. And

1:12:21.800 --> 1:12:25.000
<v Speaker 1>if you get these three right or you know, close enough.

1:12:25.040 --> 1:12:30.679
<v Speaker 1>No one's perfect. Uh And you know, but diet, exercise, sleep,

1:12:31.000 --> 1:12:34.600
<v Speaker 1>reinforce each other. Take care of yourself. Don't wait for motivation.

1:12:35.280 --> 1:12:39.200
<v Speaker 1>Just just build habits. It's much easier to do things

1:12:39.240 --> 1:12:41.760
<v Speaker 1>well when you when it's a habit, as opposed to

1:12:41.800 --> 1:12:44.960
<v Speaker 1>waiting for motivation, which is very fickle. There's another book,

1:12:45.080 --> 1:12:47.080
<v Speaker 1>very I'm gonna cheat. I'm going to add another book,

1:12:47.400 --> 1:12:50.960
<v Speaker 1>The Power of Habits Charles do H. I think it's

1:12:51.040 --> 1:12:55.040
<v Speaker 1>worth reading. Very interesting. And our final question, what do

1:12:55.080 --> 1:12:57.680
<v Speaker 1>you know about the world of investing today that you

1:12:57.760 --> 1:13:00.559
<v Speaker 1>wish you knew twenty or so years ago when you

1:13:00.600 --> 1:13:03.240
<v Speaker 1>were first getting started. I would mention some of the

1:13:03.280 --> 1:13:08.320
<v Speaker 1>takeaways from my book. Quantitative methods work best when used

1:13:08.479 --> 1:13:13.439
<v Speaker 1>with a healthy dose of qualitative judgment. That's something I've

1:13:13.520 --> 1:13:19.120
<v Speaker 1>learned over time. I wish I'd realized earlier. Risk is

1:13:19.200 --> 1:13:24.680
<v Speaker 1>easier to forecast than returns, and this has tremendous investment implications.

1:13:26.400 --> 1:13:29.240
<v Speaker 1>When in doubt, it pays to stay invested for the

1:13:29.320 --> 1:13:32.719
<v Speaker 1>long run. You will think of my elevator pitch, stay invested,

1:13:32.720 --> 1:13:39.280
<v Speaker 1>stay diversified. Diversification works very well when you don't need it,

1:13:39.320 --> 1:13:44.000
<v Speaker 1>and not so well when you actually need it during crashes,

1:13:44.800 --> 1:13:47.120
<v Speaker 1>and if you're an investor, you really need to take

1:13:47.160 --> 1:13:53.679
<v Speaker 1>that into account. And lastly, in markets, you really need

1:13:53.720 --> 1:13:59.360
<v Speaker 1>to expect the unexpected. Things change very quickly in markets,

1:13:59.360 --> 1:14:03.960
<v Speaker 1>and we've us been through such an environment quite quite fascinating.

1:14:04.520 --> 1:14:07.160
<v Speaker 1>Thank you Sebastian for being so generous with your time.

1:14:07.640 --> 1:14:10.599
<v Speaker 1>We have been speaking with Sebastian Page. He is the

1:14:10.600 --> 1:14:15.320
<v Speaker 1>head of multi asset investing at tro Price, where his

1:14:15.439 --> 1:14:20.000
<v Speaker 1>group runs about three hundred and sixty billion dollars. If

1:14:20.040 --> 1:14:22.920
<v Speaker 1>you enjoy this conversation, well check out any of our

1:14:22.960 --> 1:14:26.000
<v Speaker 1>previous I don't know, I'll call it four hundred interviews

1:14:26.040 --> 1:14:28.680
<v Speaker 1>we've done over the past seven years or so. You

1:14:28.720 --> 1:14:32.760
<v Speaker 1>can find that at iTunes, Spotify, wherever you feed your

1:14:32.800 --> 1:14:38.479
<v Speaker 1>podcast fix. We love your comments, feedback and suggestions. Write

1:14:38.479 --> 1:14:42.200
<v Speaker 1>to us at m IB podcast at Bloomberg dot net.

1:14:42.479 --> 1:14:46.000
<v Speaker 1>You can give us a review on Apple iTunes. Sign

1:14:46.120 --> 1:14:48.840
<v Speaker 1>up for the daily reads I write every day at

1:14:49.040 --> 1:14:52.200
<v Speaker 1>d Halts dot com. Check out my weekly column on

1:14:52.360 --> 1:14:56.120
<v Speaker 1>Bloomberg dot com Slash Opinion follow me on Twitter at

1:14:56.200 --> 1:14:58.640
<v Speaker 1>rid Halts. I would be remiss if I did not

1:14:58.760 --> 1:15:01.519
<v Speaker 1>thank the crack team of professionals who helped me put

1:15:01.600 --> 1:15:06.640
<v Speaker 1>together this conversation each week. Maroufal is my audio engineer.

1:15:06.800 --> 1:15:11.080
<v Speaker 1>Tracy Walsh is our project manager. Michael Boyle is my producer.

1:15:11.200 --> 1:15:15.879
<v Speaker 1>Michael Batnick is my head of research. I'm Barry Ridults.

1:15:16.240 --> 1:15:19.799
<v Speaker 1>You've been listening to Masters in Business on Bloomberg Radio