WEBVTT - Orbis’ Forster on Importance of Intrinsic Value

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<v Speaker 1>Welcome to Inside Active, a podcast about active managers that

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<v Speaker 1>goes beyond sound bites and headlines and looks deeper into

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<v Speaker 1>their processes, challenges and philosophies and security selection. I'm David Cohne,

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<v Speaker 1>I lead mutual fund and active research at Bloomberg Intelligence.

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<v Speaker 1>Today my co host is Laurent Julie, senior equity strategist

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<v Speaker 1>at Bloomberg Intelligence. Laurent, thank you for joining.

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<v Speaker 2>Me today We come.

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<v Speaker 1>So you wrote an interesting note last week about Japanese

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<v Speaker 1>EPs growth during the third quarter. You know, I'd love

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<v Speaker 1>to see how these companies performed in terms of EPs

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<v Speaker 1>growth and you know, maybe some positive surprises.

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<v Speaker 2>So in fact, we did a quite deep dive into

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<v Speaker 2>the September quarter results of Japanese companies and as you mention,

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<v Speaker 2>I mean the results came out better than expected. As

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<v Speaker 2>a quarterly year of your growth was around twenty six

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<v Speaker 2>percent compared to seventeen percent initially expected. But I think

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<v Speaker 2>the key point is that the breadth of positive surprise

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<v Speaker 2>has been quite narrow. Out of eleven sectors, only Free

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<v Speaker 2>delivered positive surprise. There are technology, financial, sorry, healthcare and materials,

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<v Speaker 2>and also soft Bank Group also did blowout market expectations.

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<v Speaker 2>In fact, if you exclude those three sectors and soft bank,

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<v Speaker 2>in fact, the Japanese results would have been much lower

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<v Speaker 2>than expected. In addition, if you look at the full

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<v Speaker 2>year guidance which has been provided by the companies for

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<v Speaker 2>the moment, there are still seven percent below the market

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<v Speaker 2>consensus and they were revised only one percent during the

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<v Speaker 2>reporting season. So that's quite disappointing, and I think it

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<v Speaker 2>was not enough to get the market excited. And the

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<v Speaker 2>last point that I would like to make is that

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<v Speaker 2>I think now investors focus shifted back to the macro

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<v Speaker 2>and especially what the BOJ will do at its next meeting,

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<v Speaker 2>which is towards the end of December. For the moment,

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<v Speaker 2>the probability of a twenty five basis point rise is

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<v Speaker 2>about sixty percent because later inflation data are still above

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<v Speaker 2>two percent, and also the currency, as we can a

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<v Speaker 2>little bit compared to the month of July. So I

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<v Speaker 2>think market expect the BOJ to provide support to the currency.

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<v Speaker 2>And that's it.

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<v Speaker 1>Well, that's great, and speaking of international stocks, i'd like

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<v Speaker 1>to welcome our guests. Graham Forster, a portfolio manager of

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<v Speaker 1>the International Equity Strategy and Global Equity strategy at Orbist

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<v Speaker 1>Investment Management. Graham, thank you for joining us today.

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<v Speaker 3>It's great to be here. Thank you for the kind invite.

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<v Speaker 1>Well, before we kind of jump into your background, i'd

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<v Speaker 1>love to hear your thoughts on you know what Laurent

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<v Speaker 1>was just you know, mentioning you know, you know what

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<v Speaker 1>kind of occurred during the third quarter in terms of

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<v Speaker 1>Japanese EPs.

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<v Speaker 3>So I think there's interesting things happening in Japan. We

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<v Speaker 3>tend not to look at a quarter by a quarter basis,

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<v Speaker 3>but you know, in terms of what's happening on the

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<v Speaker 3>longer term, longer term trends. But I think some of

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<v Speaker 3>the things that Lauren said rhymed the financials. I think

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<v Speaker 3>we were quite large in the financials for some time.

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<v Speaker 3>That's come down quite a lot because they're trading, you know,

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<v Speaker 3>that sort of more normalized multiples. But I think I

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<v Speaker 3>think there could be much more in terms of positive

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<v Speaker 3>surprises coming out of that sector, because if you think

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<v Speaker 3>about what they've been through for twenty years in terms

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<v Speaker 3>of their altitude training, from having such low rates for

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<v Speaker 3>so long and building up the muscle to survive and

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<v Speaker 3>not quite thrive, but at least survived through that period

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<v Speaker 3>and wrote tad more into sort of feed driven businesses.

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<v Speaker 3>I think if you start to see rates move off,

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<v Speaker 3>you know, off zero and and and higher from here,

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<v Speaker 3>which I think is more likely to happen than not,

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<v Speaker 3>you'll see a lot more positive surprise on their interest

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<v Speaker 3>margins and people expect just because it's been so low

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<v Speaker 3>for so long. And also they're doing you know, a

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<v Speaker 3>lot in terms of capital efficiency and unwinding all of

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<v Speaker 3>their cross shareholdings and and that's releasing capital. I think

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<v Speaker 3>they're in a nice phase. It's just that you know

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<v Speaker 3>that the prices are reflecting some of that positivity.

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<v Speaker 1>So I'd like to take a step back and kind

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<v Speaker 1>of I know our audience would love to hear how

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<v Speaker 1>you became a portfolio manager.

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<v Speaker 3>That's going way back, so I I mean I I

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<v Speaker 3>was studying applied mathematics at Cambridge University in the UK,

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<v Speaker 3>and I could have gone down that route. There's a

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<v Speaker 3>lot of lots to be said for academia, but I

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<v Speaker 3>you know, the short story is that I started getting

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<v Speaker 3>interested in decision making under uncertainty, and that involved an

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<v Speaker 3>interest in investing and an interest in games which had

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<v Speaker 3>that characteristic like you know, you think think poker, and

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<v Speaker 3>you know, that's that's what kind of led me into

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<v Speaker 3>the investment industry. I find I found it interesting from

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<v Speaker 3>the perspective of everyone suited to something. Right, your character

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<v Speaker 3>and you know, your aptitude is typically suited to doing

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<v Speaker 3>something in the world. You know, that's how we've evolved

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<v Speaker 3>as humans. We all have some role to play, and

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<v Speaker 3>mine was I found I had an aptitude for decision

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<v Speaker 3>making in the situations where there's a lot of uncertainty.

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<v Speaker 3>And you know it if you think about game selection,

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<v Speaker 3>which we think about a lot in the poker world

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<v Speaker 3>and in the investing world as well, I think investing

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<v Speaker 3>as a whole is sensible game selection because what it does,

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<v Speaker 3>given there's so much statisticity and so much noise in

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<v Speaker 3>the business, and the noise to skill ratio is actually

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<v Speaker 3>quite high. It attracts in a lot of in the

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<v Speaker 3>poker world, they call them fish people who who you know,

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<v Speaker 3>play the game but really, you know, really shouldn't be

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<v Speaker 3>playing the game. They don't really have an aptitude for it,

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<v Speaker 3>but they're attracted to it because they can win. They

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<v Speaker 3>can win for you know, two three sessions. In investing,

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<v Speaker 3>you can win for years without having real skill and

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<v Speaker 3>edge and therefore it's a game that anyone feels they

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<v Speaker 3>can play. So you drawing a lot of people and

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<v Speaker 3>if you can do it well that there is sustainable

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<v Speaker 3>edge you can you can develop. So I was attracted,

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<v Speaker 3>you know, for I guess for those two reasons.

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<v Speaker 1>It's great. And so you're at Orbis, you know, can

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<v Speaker 1>you tell us a little bit more about the investment

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<v Speaker 1>philosophy of the firm?

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<v Speaker 3>So Orbis I've been I've been at the firm since

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<v Speaker 3>two thousand and seven. What what I thought? I found

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<v Speaker 3>fascinating when I was thinking about, you know, where in

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<v Speaker 3>the investment world do you go? One thing that struck

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<v Speaker 3>me was what is the enduring What is the enduring

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<v Speaker 3>way to gain edge in investment management? And for me,

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<v Speaker 3>you know, given we are owning pieces of businesses, it's

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<v Speaker 3>obviously assessing the value of what you earn. Right that

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<v Speaker 3>there's there's all these there's a plethora that's of different

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<v Speaker 3>styles that have developed within the investment industry. There's the

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<v Speaker 3>quant sidne and you know, the quality and this growth

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<v Speaker 3>and the value and all these different flavors of investment.

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<v Speaker 3>For me, that there's only really one signal. There's only

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<v Speaker 3>really one signal, and that is understanding that the value

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<v Speaker 3>of a business and trying to buy at a big

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<v Speaker 3>discount to that, and that should be enduring as long

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<v Speaker 3>as as prices move away from intrinsic value. And that's

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<v Speaker 3>really the core of Orbis's philosophy and what drew me

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<v Speaker 3>to the firm. You know, it's interesting from the sense

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<v Speaker 3>I was talking about game selection. Given the industry invests

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<v Speaker 3>attracts a lot of or has the potential to attract

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<v Speaker 3>a lot of people who really don't have sustainable edge,

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<v Speaker 3>you would think that there would be quite a large

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<v Speaker 3>cohort of management firms and people within the industry that

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<v Speaker 3>have very long term superior track records. And as I

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<v Speaker 3>was digging, you know, around in the data back in

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<v Speaker 3>two thousand and six when I was thinking about where

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<v Speaker 3>I should be in this industry, it's really quite hard

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<v Speaker 3>to find examples of sustainable long term excess performance. There

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<v Speaker 3>aren't that many, which is fascinating, and I think there's

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<v Speaker 3>a whole host of reasons for that, but one of

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<v Speaker 3>the ones that stood out was Orbis, and it goes

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<v Speaker 3>right back to nineteen seventy three. So Alan Gray founded

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<v Speaker 3>Alan Gray Limited, nineteen seventy three, and then the sister

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<v Speaker 3>firm was Orbis, which was started in nineteen ninety and

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<v Speaker 3>we run about five or six different concentrated long only

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<v Speaker 3>and hedge strategies and I've generated on average between five

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<v Speaker 3>and ten percent excess return over the various benchmarks. And

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<v Speaker 3>if you think about, you know, what is the power

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<v Speaker 3>what's you know, what gets us to work every day?

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<v Speaker 3>What's the power of that? Well, it's Warren Buffett's sort

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<v Speaker 3>of time compounding. Most of his wealth has generated after

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<v Speaker 3>the retirement age because he stays in the game for

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<v Speaker 3>a long period of time and excess returns. And Alan

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<v Speaker 3>Gray Limited, you know, the original firm assist company to Orbis,

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<v Speaker 3>has been investing for fifty two years. And if you

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<v Speaker 3>just sort of stuck the equity as premium, you just

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<v Speaker 3>got the equity's premium plus the risk free rate for

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<v Speaker 3>fifty years. You know, you're extraordinarily wealthy. If you can

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<v Speaker 3>do eight or nine percent above that, it's just incredible

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<v Speaker 3>the wealth and the way the wealth can compound. So

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<v Speaker 3>that struck me and that was one of the reasons

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<v Speaker 3>I joined. And we've been doing the same thing since.

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<v Speaker 3>So I'm responsible for the International Strategy that started in

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<v Speaker 3>two thousand and nine, which is a four five billion

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<v Speaker 3>strategy outside of the US. And I also I am

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<v Speaker 3>a portfolio manager on the Global strategy, which was one

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<v Speaker 3>of the flagship strategies for August we started in nineteen ninety.

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<v Speaker 1>So how does the process work on the international equity strategy,

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<v Speaker 1>you know, applying that philosophy.

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<v Speaker 3>Well, it's all very intrinsic value, you know, focused what

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<v Speaker 3>we spend almost all our time trying to figure out

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<v Speaker 3>the value of businesses. I think that's the enduring signal

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<v Speaker 3>in all of the noise, So you spend your time

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<v Speaker 3>doing things that really count. I would say there's a

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<v Speaker 3>couple of characteristics of the firm that may be a

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<v Speaker 3>bit differentiated and worth talking about. One is very very

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<v Speaker 3>independent decision making, very independent decision making, and that that

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<v Speaker 3>actually varies across the investment industry. There's this idea of

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<v Speaker 3>wisdom of the crowds, right, You've heard and a lot

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<v Speaker 3>of academic, literal and wisdom of the crowds. Crowds make

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<v Speaker 3>good decisions, do they not. There's a wisdom there. I

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<v Speaker 3>think what that is based on the wisdom of the

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<v Speaker 3>crowds is you imagine your jar of candies, your child sweets,

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<v Speaker 3>and everybody's guessing how many candies are in the jar,

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<v Speaker 3>and the average of all this guess is actually quite good.

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<v Speaker 3>That's the wisdom of the crowds. The key thing with

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<v Speaker 3>you know that that, you know, the success of the

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<v Speaker 3>wisdom of the crowds is independent decision making. Everyone is

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<v Speaker 3>guessing independently of each other, and some people are way off,

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<v Speaker 3>some people are closer, but on average it comes out

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<v Speaker 3>quite good. If you had a circle of people around

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<v Speaker 3>the jar and they're all chatting about how many candies

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<v Speaker 3>are in the jar, and there's a you know, there's

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<v Speaker 3>a few dominant voices in there, and they, you know, they,

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<v Speaker 3>and some people are just referring to their wisdom, and

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<v Speaker 3>if you had then then I think there's been I

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<v Speaker 3>don't know if there's been studies done on this, but

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<v Speaker 3>I suspect that would be a horrible outcome versus the

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<v Speaker 3>very independent decision making. So the market is much like

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<v Speaker 3>the second case. Everyone's standing around the jar and talking

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<v Speaker 3>about it, and that's why you get such big distortions

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<v Speaker 3>in markets. What we try to do internally is be very,

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<v Speaker 3>very independent and deliberate about that as to how we

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<v Speaker 3>make decisions. So the analysis is very independently driven and

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<v Speaker 3>the views are independently driven, and then we have then

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<v Speaker 3>we have a sort of a method to sense check that.

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<v Speaker 3>So that's one kind of thing that runs through the

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<v Speaker 3>firm independent decision making. The second is accountability. Everyone's accountable

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<v Speaker 3>for their independent decisions. I think one of the mistakes

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<v Speaker 3>the industry makes, generally speaking, is you take great stock

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<v Speaker 3>pickers who are exceptional at finding those unique opportunities, and

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<v Speaker 3>you promote them into managing a portfolio, and then those

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<v Speaker 3>key insights that they've had over the years of picking

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<v Speaker 3>one or two stocks a year. You know, Warren Buffett,

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<v Speaker 3>you only swing at the fat pitches. You know, really

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<v Speaker 3>there really is something to that gets diluted by having

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<v Speaker 3>to look at the other forty stocks in the portfolio,

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<v Speaker 3>and then you know, that's where things start to go wrong.

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<v Speaker 3>So what we really try to do is emphasize, you know,

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<v Speaker 3>we value we value one or two stock picks a year.

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<v Speaker 3>So our analysts are focused in these niches around the world,

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<v Speaker 3>and all they want, all they've got to do is

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<v Speaker 3>find one to have one of two great insights, one

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<v Speaker 3>or two ideas and then they build a paper portfolio

0:13:14.080 --> 0:13:16.320
<v Speaker 3>of those best ideas, and then you track that performance

0:13:16.360 --> 0:13:18.640
<v Speaker 3>over time, so you get an idea of you know,

0:13:18.720 --> 0:13:20.720
<v Speaker 3>what people are good at, what people are not so

0:13:20.760 --> 0:13:23.160
<v Speaker 3>good at. You get a great signaling mechanism to the

0:13:23.160 --> 0:13:26.520
<v Speaker 3>portfolio managers as to which share should be in the portfolio.

0:13:26.679 --> 0:13:30.480
<v Speaker 3>So that's you know, the individual accountability around that's really important.

0:13:30.720 --> 0:13:33.360
<v Speaker 3>And the third thing is alignment. You need alignment within

0:13:33.400 --> 0:13:35.959
<v Speaker 3>the firm. We all need to be pulling in the

0:13:36.000 --> 0:13:39.600
<v Speaker 3>same direction. But critically you need alignment with clients because

0:13:39.640 --> 0:13:41.719
<v Speaker 3>another one of the problems with this industry, and there

0:13:41.720 --> 0:13:44.920
<v Speaker 3>are many and I keep listing them, is that the

0:13:45.000 --> 0:13:48.040
<v Speaker 3>actual return that a manager delivers is very rarely what

0:13:48.080 --> 0:13:51.040
<v Speaker 3>the client gets because the client is trading in and

0:13:51.040 --> 0:13:52.959
<v Speaker 3>out of the funds and they're buying at the top

0:13:53.000 --> 0:13:54.480
<v Speaker 3>of the selling at the bottom, and you see it

0:13:54.520 --> 0:13:56.640
<v Speaker 3>over and over again. So but if you can drive

0:13:56.640 --> 0:13:58.840
<v Speaker 3>alignment with your clients to the extent that the dollar

0:13:59.280 --> 0:14:02.960
<v Speaker 3>weighted return of the client experience is the same or

0:14:03.000 --> 0:14:06.439
<v Speaker 3>better than the actual you know, the line on the

0:14:06.520 --> 0:14:08.600
<v Speaker 3>chart that you're showing in terms of the fund return,

0:14:08.920 --> 0:14:11.199
<v Speaker 3>that's absolutely critical. But those are the kind of the key,

0:14:11.480 --> 0:14:13.240
<v Speaker 3>key elements of our structure.

0:14:13.960 --> 0:14:16.000
<v Speaker 1>So if we go back to the intrinsic value, are

0:14:16.040 --> 0:14:17.439
<v Speaker 1>there metrics that help drive that?

0:14:18.000 --> 0:14:22.400
<v Speaker 3>Ultimately, what are you doing when you invest? What is

0:14:22.440 --> 0:14:26.320
<v Speaker 3>your objective? What's your utility function? The utility function has

0:14:26.400 --> 0:14:30.840
<v Speaker 3>to be to make money. I'm afraid that's everyone's utility function.

0:14:32.440 --> 0:14:35.280
<v Speaker 3>And so it's the cash. The cash that that business

0:14:35.320 --> 0:14:39.920
<v Speaker 3>can generate is the key. And you know, some businesses

0:14:40.320 --> 0:14:42.480
<v Speaker 3>are throwing all of that cash that they generate back

0:14:42.480 --> 0:14:45.560
<v Speaker 3>into the business for growth, but ultimately the reason they're

0:14:45.560 --> 0:14:47.480
<v Speaker 3>doing that is that they can generate cash off a

0:14:47.520 --> 0:14:50.320
<v Speaker 3>bigger base in the future. So if you want to

0:14:50.320 --> 0:14:52.520
<v Speaker 3>just cut through the chase, what is the was the

0:14:52.520 --> 0:14:54.600
<v Speaker 3>core to intrinsic values, the cash that you're going to

0:14:54.600 --> 0:14:56.840
<v Speaker 3>get out of that business over the long term versus

0:14:57.280 --> 0:15:00.040
<v Speaker 3>you know, obviously the price you pay and then and

0:15:00.400 --> 0:15:02.120
<v Speaker 3>so that's the high level, and then you're going down.

0:15:02.160 --> 0:15:04.960
<v Speaker 3>There's lots of layers below that in terms of, you know,

0:15:05.280 --> 0:15:07.240
<v Speaker 3>what are they doing with the cash today, how fast

0:15:07.240 --> 0:15:09.640
<v Speaker 3>are they going to grow, what's the distribution of outcomes

0:15:09.680 --> 0:15:11.440
<v Speaker 3>around that, how uncertain is the.

0:15:12.600 --> 0:15:15.320
<v Speaker 2>You know, just a follow up question on this. Usually

0:15:15.640 --> 0:15:18.040
<v Speaker 2>I don't know, if you screen a large amount of

0:15:18.120 --> 0:15:21.000
<v Speaker 2>companies to try to identify first what could be the

0:15:21.040 --> 0:15:24.520
<v Speaker 2>set of opportunities. I mean, are you using a more

0:15:24.560 --> 0:15:29.520
<v Speaker 2>specific valuation metric, either price to book or EV to

0:15:29.640 --> 0:15:32.760
<v Speaker 2>a BIDA or P And do you related to either

0:15:32.960 --> 0:15:39.120
<v Speaker 2>return on equity or operating margin to better guide you

0:15:39.240 --> 0:15:43.560
<v Speaker 2>towards what could be a good investment opportunity which is

0:15:43.680 --> 0:15:44.720
<v Speaker 2>unfairly valued.

0:15:46.360 --> 0:15:49.480
<v Speaker 3>So all those metrics are critical, all of them. You know,

0:15:49.520 --> 0:15:52.920
<v Speaker 3>the return on capital business generate is absolutely critical to

0:15:53.040 --> 0:15:57.440
<v Speaker 3>the value of that business, the growth rate critical, and

0:15:57.520 --> 0:16:01.880
<v Speaker 3>then what do you pay? So we try to put

0:16:01.920 --> 0:16:04.360
<v Speaker 3>all the pieces together and get a view as to

0:16:04.400 --> 0:16:07.480
<v Speaker 3>what the business is worth holistically. Now, when it comes

0:16:07.480 --> 0:16:13.240
<v Speaker 3>to screening, we have a very dedicated quant group and

0:16:13.400 --> 0:16:15.320
<v Speaker 3>they are doing a lot of good work on which

0:16:15.360 --> 0:16:18.200
<v Speaker 3>areas of the market could market could be dislocated. And

0:16:18.240 --> 0:16:19.640
<v Speaker 3>the way we do that is we run our own

0:16:19.680 --> 0:16:24.560
<v Speaker 3>proprietary internal models. They're effectively fancy dividend discount models, so

0:16:24.720 --> 0:16:27.920
<v Speaker 3>cash flow based models, where we run that on every

0:16:27.920 --> 0:16:30.320
<v Speaker 3>stock in the world, and then we monitor and we see, Okay,

0:16:30.320 --> 0:16:33.880
<v Speaker 3>what's looking more interesting and what's looking less interesting. That's helpful,

0:16:34.640 --> 0:16:37.000
<v Speaker 3>but ultimately there's a lot of noise in it, right

0:16:37.080 --> 0:16:40.680
<v Speaker 3>because the model you know, uses the past, doesn't know

0:16:40.720 --> 0:16:45.760
<v Speaker 3>the future right come in. But you know, on top

0:16:45.800 --> 0:16:49.080
<v Speaker 3>of that, we it's absolutely critical to have a big

0:16:49.080 --> 0:16:52.920
<v Speaker 3>investment team. So we're a forty billion dollar asset manager,

0:16:52.920 --> 0:16:56.760
<v Speaker 3>which isn't that big in today's you know, today's inflating money.

0:16:58.120 --> 0:17:01.240
<v Speaker 3>And and so the size of our vest ten is

0:17:01.280 --> 0:17:05.280
<v Speaker 3>quite large versus the the asset base. But we think

0:17:05.280 --> 0:17:08.040
<v Speaker 3>it's absolutely critical because we're so geared to our performance.

0:17:08.080 --> 0:17:10.639
<v Speaker 3>We're so geared at delivering returns for clients that are

0:17:10.680 --> 0:17:14.720
<v Speaker 3>above the averages that you need to combine both breadth

0:17:14.800 --> 0:17:17.880
<v Speaker 3>and depth. And so we have a big analyst team

0:17:17.920 --> 0:17:19.600
<v Speaker 3>to cover the world, but we also have a lot

0:17:19.640 --> 0:17:22.280
<v Speaker 3>of depth within each area. So when it comes to screening,

0:17:22.640 --> 0:17:26.320
<v Speaker 3>each analyst's just looking at Japanese financials or they're just

0:17:26.359 --> 0:17:31.880
<v Speaker 3>looking at European industrials, they have a small, smaller universe,

0:17:32.080 --> 0:17:34.119
<v Speaker 3>a universe they can manage the universe that they can

0:17:34.200 --> 0:17:36.680
<v Speaker 3>understand what the top twenty company is, what they're worth,

0:17:36.720 --> 0:17:39.720
<v Speaker 3>and then and therefore you are screening that whole universe.

0:17:39.720 --> 0:17:42.600
<v Speaker 3>Screening is important, but it's a little bit less so

0:17:42.680 --> 0:17:45.200
<v Speaker 3>because you know, you have that deep knowledge within each section.

0:17:45.560 --> 0:17:49.400
<v Speaker 2>Coming back towards the Japanese equity market, so, I mean

0:17:49.440 --> 0:17:53.040
<v Speaker 2>a lot of investors think they are definitely structural change

0:17:53.400 --> 0:17:56.959
<v Speaker 2>happening in the economy, but also in terms of corpor

0:17:57.000 --> 0:18:02.520
<v Speaker 2>right governance, where potentially companies management are much more shareholder

0:18:02.560 --> 0:18:07.400
<v Speaker 2>friendly than they used to be. I monitored the position

0:18:07.560 --> 0:18:11.160
<v Speaker 2>of your portfolio, and you were heavily invested in Japanese

0:18:11.200 --> 0:18:14.400
<v Speaker 2>equities at the beginning of the year. You have reduced

0:18:15.359 --> 0:18:18.520
<v Speaker 2>your position, which is quite a wise move because I

0:18:18.520 --> 0:18:22.960
<v Speaker 2>would say since about March April, the Japanese market has

0:18:23.080 --> 0:18:27.320
<v Speaker 2>not done anything spectacular. So do you think, as you

0:18:27.359 --> 0:18:32.680
<v Speaker 2>were mentioning earlier, that potentially the Japanese market, despite all

0:18:32.720 --> 0:18:35.600
<v Speaker 2>these good news, this is already priced in. Or do

0:18:35.640 --> 0:18:39.240
<v Speaker 2>you think that, in fact, all those structural change could

0:18:39.280 --> 0:18:41.800
<v Speaker 2>really carry this market for many years to go.

0:18:43.040 --> 0:18:45.679
<v Speaker 3>I'm more in the latter. Despite the fact that our

0:18:45.720 --> 0:18:49.919
<v Speaker 3>position is reduced, I think we've been investing in Japan

0:18:50.800 --> 0:18:53.719
<v Speaker 3>with great hope and expectation that corporate governance was going

0:18:53.760 --> 0:18:58.920
<v Speaker 3>to improve since about nineteen ninety eight, and every year

0:18:59.040 --> 0:19:01.160
<v Speaker 3>our team go to Japan and they talk to management

0:19:01.160 --> 0:19:03.520
<v Speaker 3>teams and they get the same kind of blank stairs

0:19:03.560 --> 0:19:07.040
<v Speaker 3>when we talk about you know, better capital management ETCA.

0:19:07.840 --> 0:19:10.800
<v Speaker 3>Over the last five years, that's dramatically change. We go

0:19:11.000 --> 0:19:15.360
<v Speaker 3>to Japan and we we're talking the same language, and

0:19:15.480 --> 0:19:22.760
<v Speaker 3>our team, our Japan specialist team. Twice a year, we've

0:19:22.760 --> 0:19:25.679
<v Speaker 3>done a lot of presentations to management and you know,

0:19:26.000 --> 0:19:30.320
<v Speaker 3>the management teams are listening, stuff happening, they're acting, and

0:19:30.440 --> 0:19:32.200
<v Speaker 3>that's a big deal. It's a big deal for market

0:19:32.400 --> 0:19:35.480
<v Speaker 3>market that has become so capital inefficient over such a

0:19:35.480 --> 0:19:38.000
<v Speaker 3>long period of time. So I think it is enduring,

0:19:38.240 --> 0:19:42.320
<v Speaker 3>and I think there is that there's there's a there's

0:19:42.320 --> 0:19:45.840
<v Speaker 3>a momentum to it, just like there was a stagnation

0:19:45.960 --> 0:19:49.560
<v Speaker 3>to the previous you know, the way it was. It's

0:19:49.560 --> 0:19:53.080
<v Speaker 3>a very sort of consensus driven society, so the way

0:19:53.119 --> 0:19:54.720
<v Speaker 3>it was was very sticky. But as soon as it

0:19:54.760 --> 0:19:58.160
<v Speaker 3>starts to change, everyone starts to change together. And that's

0:19:58.200 --> 0:20:02.919
<v Speaker 3>exactly what we're seeing. What the problem is that the

0:20:03.000 --> 0:20:09.439
<v Speaker 3>yen is so cheap now that the the exporters we

0:20:09.480 --> 0:20:14.680
<v Speaker 3>think over earning and so a lot of those companies

0:20:14.680 --> 0:20:18.160
<v Speaker 3>on a normalized earnings basis don't look as interesting to us,

0:20:18.560 --> 0:20:20.840
<v Speaker 3>and they are the big they're the big stocks in

0:20:20.880 --> 0:20:24.959
<v Speaker 3>the market, you know, the the big liquid businesses. So

0:20:25.000 --> 0:20:28.119
<v Speaker 3>the opportunity today in our view sits in the MidCap

0:20:28.240 --> 0:20:32.199
<v Speaker 3>domestic companies that are suffering under this very very weak end.

0:20:33.080 --> 0:20:35.720
<v Speaker 3>So if you can find MidCap Japanese businesses where you know,

0:20:35.760 --> 0:20:38.159
<v Speaker 3>you have this nice corporate governance story we like, for example,

0:20:38.160 --> 0:20:40.359
<v Speaker 3>the drug stores in Japan, where there's this kind of

0:20:40.640 --> 0:20:45.000
<v Speaker 3>the more interesting things going on on the consolidation side,

0:20:45.640 --> 0:20:47.159
<v Speaker 3>and and you know, and and on a couple of

0:20:47.240 --> 0:20:52.240
<v Speaker 3>management side. If you can find those businesses, domestic businesses,

0:20:53.160 --> 0:20:56.479
<v Speaker 3>they're cheap, and you have the yen upside as well,

0:20:56.480 --> 0:21:00.560
<v Speaker 3>because you know, they they're true yen assets, so you

0:21:00.600 --> 0:21:02.679
<v Speaker 3>can get that, you know, the uplift from the end,

0:21:02.720 --> 0:21:07.120
<v Speaker 3>which we think will eventually appreciate just because it's it's

0:21:07.119 --> 0:21:10.520
<v Speaker 3>so undervalued at this point. That's where the opportunity is.

0:21:10.680 --> 0:21:13.440
<v Speaker 3>The trouble is you have to access the liquidity and

0:21:15.240 --> 0:21:17.320
<v Speaker 3>you know, so you have to buy baskets for these companies.

0:21:18.960 --> 0:21:21.240
<v Speaker 3>It's just a bit more tricky for a very sort

0:21:21.240 --> 0:21:23.120
<v Speaker 3>of focus bottom up investor.

0:21:23.400 --> 0:21:29.040
<v Speaker 2>In terms of implementation. Yeah, so now maybe a bit

0:21:29.240 --> 0:21:32.160
<v Speaker 2>a bit more macro questions have been given that all

0:21:32.240 --> 0:21:37.960
<v Speaker 2>the market focuses around the potential tariff policies of Donald Trump.

0:21:38.520 --> 0:21:41.000
<v Speaker 2>I mean, I don't know if you. I know you

0:21:41.080 --> 0:21:43.639
<v Speaker 2>are more bottom up rather than top down. But do

0:21:43.720 --> 0:21:47.520
<v Speaker 2>you think that there are international markets which may be

0:21:47.520 --> 0:21:52.080
<v Speaker 2>better positions than others and that you would favor investing

0:21:52.240 --> 0:21:55.680
<v Speaker 2>given that some of them could be definitely at risk

0:21:56.000 --> 0:21:59.800
<v Speaker 2>of those trade policies are coming from the US.

0:22:02.400 --> 0:22:07.320
<v Speaker 3>I think it's difficult to invest on that basis. On

0:22:07.359 --> 0:22:13.199
<v Speaker 3>the one hand, Trump is quite a predictable character, and

0:22:13.280 --> 0:22:15.280
<v Speaker 3>he's been saying the same thing since he was twenty

0:22:15.280 --> 0:22:20.680
<v Speaker 3>two years old. You know what he thinks by now,

0:22:20.840 --> 0:22:22.720
<v Speaker 3>but you don't know exactly how he's going to implement

0:22:24.080 --> 0:22:30.520
<v Speaker 3>and you don't know to what degree each let's say

0:22:30.560 --> 0:22:32.920
<v Speaker 3>tariff that is put on that will be put on,

0:22:33.920 --> 0:22:36.760
<v Speaker 3>You don't know you know how enduring they'll be. And

0:22:36.800 --> 0:22:39.119
<v Speaker 3>in terms of the intrinsic value of a business, you know,

0:22:39.160 --> 0:22:42.200
<v Speaker 3>that's ten years of free cash flow, it's not six

0:22:42.280 --> 0:22:46.800
<v Speaker 3>months based on a tariff policy. And the other thing

0:22:46.840 --> 0:22:49.959
<v Speaker 3>we know about Trump is he's quite a transactional person.

0:22:50.880 --> 0:22:53.200
<v Speaker 3>And so you know, if you can get a good

0:22:53.240 --> 0:22:57.760
<v Speaker 3>deal from a country or extract something that he feels, okay,

0:22:57.840 --> 0:23:02.639
<v Speaker 3>the USA has gained in this transaction, the tariffs, you know,

0:23:02.720 --> 0:23:05.840
<v Speaker 3>might be fleeting on whichever country they're dealing with, So

0:23:05.880 --> 0:23:09.679
<v Speaker 3>it is just a difficult environment. From that perspective, I

0:23:09.680 --> 0:23:13.639
<v Speaker 3>think what one thing you can say is we are

0:23:13.680 --> 0:23:16.720
<v Speaker 3>on a trend now. It looks like a very clear

0:23:16.760 --> 0:23:20.600
<v Speaker 3>trend towards a much more protectionist world and a breakdown

0:23:20.640 --> 0:23:22.840
<v Speaker 3>of the global world order of as we've known it

0:23:22.880 --> 0:23:25.800
<v Speaker 3>for the last thirty forty years. And that you know,

0:23:25.840 --> 0:23:28.199
<v Speaker 3>you can see that in the USA, but you can

0:23:28.240 --> 0:23:30.679
<v Speaker 3>also see it all the way across Europe as well

0:23:30.880 --> 0:23:33.800
<v Speaker 3>and in various other countries. I think it's a little

0:23:33.800 --> 0:23:37.399
<v Speaker 3>bit of a function of an aging population. As we age,

0:23:38.119 --> 0:23:42.840
<v Speaker 3>you know, just very very simplistically, we've become more conservative

0:23:42.840 --> 0:23:47.400
<v Speaker 3>and adverse to change, and you know, I think that's

0:23:47.480 --> 0:23:50.200
<v Speaker 3>we're seeing that playing out in politics all around the world.

0:23:50.200 --> 0:23:52.679
<v Speaker 3>And so I worry about Europe in terms of the

0:23:52.720 --> 0:23:58.639
<v Speaker 3>potential for the the EU too. I don't want to

0:23:58.680 --> 0:24:03.000
<v Speaker 3>say break up. There's a protect there. There's in terms

0:24:03.040 --> 0:24:06.879
<v Speaker 3>of people becoming more nationalistic. I think they'll be more

0:24:06.880 --> 0:24:12.280
<v Speaker 3>global conflict just because the global world order has been

0:24:12.280 --> 0:24:16.439
<v Speaker 3>in place for so long and when you have a

0:24:16.560 --> 0:24:20.320
<v Speaker 3>very strong, you know, huge power that the US has been,

0:24:21.080 --> 0:24:24.880
<v Speaker 3>it just kept everything, you know, it kept everything quiet

0:24:25.400 --> 0:24:27.720
<v Speaker 3>as soon as you start as soon as that starts

0:24:27.720 --> 0:24:31.520
<v Speaker 3>breaking down. In a period where individual countries have not

0:24:31.600 --> 0:24:35.959
<v Speaker 3>built up their defense capability because it's just atrophied over

0:24:35.960 --> 0:24:38.119
<v Speaker 3>the last twenty thirty years, I think that you're going

0:24:38.160 --> 0:24:41.200
<v Speaker 3>to see a lot of friction across borders as well.

0:24:41.760 --> 0:24:43.520
<v Speaker 3>So those will be the macro things I would be

0:24:43.560 --> 0:24:45.879
<v Speaker 3>concerned about in terms of the new policies of the

0:24:45.960 --> 0:24:48.600
<v Speaker 3>US administration. The biggest thing I worry about is the

0:24:48.720 --> 0:24:51.399
<v Speaker 3>you know, the efficiency drive from from elon Musk and

0:24:52.359 --> 0:24:55.600
<v Speaker 3>because that that could be game changing if they can

0:24:55.800 --> 0:25:00.840
<v Speaker 3>execute on on on getting their their their fists in order,

0:25:02.040 --> 0:25:04.800
<v Speaker 3>because that's that looks like an inevitable freight train for

0:25:04.840 --> 0:25:08.000
<v Speaker 3>a long time in terms of the deteriorating fiscal position

0:25:08.080 --> 0:25:11.920
<v Speaker 3>in the US. So it'll be interesting to observe how

0:25:11.920 --> 0:25:13.040
<v Speaker 3>that evolves.

0:25:14.280 --> 0:25:19.200
<v Speaker 2>Okay, Now a question which is more about process, which

0:25:19.240 --> 0:25:23.080
<v Speaker 2>is your selling discipline? I mean, which is I think

0:25:23.200 --> 0:25:29.880
<v Speaker 2>is very relevant when you have a value based investment strategy.

0:25:29.920 --> 0:25:32.560
<v Speaker 2>I mean, when do you decide to exceed a position?

0:25:32.760 --> 0:25:35.760
<v Speaker 2>Is it just because you think it's just fairly valued,

0:25:36.200 --> 0:25:39.000
<v Speaker 2>you were right, and so you take your gain or

0:25:39.080 --> 0:25:41.960
<v Speaker 2>I know that some people tend to run with their winners.

0:25:42.440 --> 0:25:46.720
<v Speaker 2>And also when sometimes I mean there's especially in Europe

0:25:46.760 --> 0:25:49.200
<v Speaker 2>for example, there are a lot of investment case which

0:25:49.240 --> 0:25:54.000
<v Speaker 2>are value traps. Sometimes some are our value traps, others

0:25:54.080 --> 0:25:58.280
<v Speaker 2>are not. So some companies initially may lose or your

0:25:58.320 --> 0:26:01.680
<v Speaker 2>investment may lose money, but you may be right over

0:26:01.720 --> 0:26:04.679
<v Speaker 2>the medium to long term. So also how do you

0:26:04.800 --> 0:26:08.679
<v Speaker 2>react to when one of your investments is not turning

0:26:08.760 --> 0:26:12.120
<v Speaker 2>out right? I mean, how often do you reconsider what

0:26:12.200 --> 0:26:14.840
<v Speaker 2>do you do to make sure that you are on

0:26:14.920 --> 0:26:17.119
<v Speaker 2>the right track or that potentially it could be a

0:26:17.200 --> 0:26:20.120
<v Speaker 2>value trap and it's better to sell with a ten

0:26:20.280 --> 0:26:23.679
<v Speaker 2>or fifteen percent loss rather than a fifty percent one.

0:26:24.080 --> 0:26:27.719
<v Speaker 2>So how do you approach those both goals of on

0:26:27.800 --> 0:26:32.560
<v Speaker 2>the on the positive and negative side.

0:26:31.240 --> 0:26:33.200
<v Speaker 3>So that I mean, there's all great questions. I mean,

0:26:33.560 --> 0:26:39.000
<v Speaker 3>the very glib, high level answer is, as you would expect,

0:26:40.280 --> 0:26:43.600
<v Speaker 3>price versus intrinsic value is key. So if you know,

0:26:43.720 --> 0:26:47.040
<v Speaker 3>you realize you're intrinsic value, then then the position will

0:26:46.880 --> 0:26:49.479
<v Speaker 3>But there's a second element of that is that the

0:26:49.480 --> 0:26:52.159
<v Speaker 3>market environment might be such that there's a lot of

0:26:52.160 --> 0:26:55.119
<v Speaker 3>things that traded a big discount. You know, if you

0:26:55.160 --> 0:27:00.879
<v Speaker 3>look at twenty twenty one, very you knowaningful discounts in

0:27:00.920 --> 0:27:03.200
<v Speaker 3>certain areas of the market, in which case we might

0:27:03.280 --> 0:27:05.720
<v Speaker 3>sail before something gets to intrinsic value because we can

0:27:05.760 --> 0:27:07.960
<v Speaker 3>buy something else at a much deeper discount. So that's

0:27:08.000 --> 0:27:10.679
<v Speaker 3>the very high level answer. Now your your point is

0:27:10.760 --> 0:27:13.440
<v Speaker 3>much more kind of in the weeds and intricate in

0:27:13.720 --> 0:27:17.600
<v Speaker 3>the sense that what if you're wrong, what you know?

0:27:17.600 --> 0:27:19.680
<v Speaker 3>How do you what if you're intrinsic value is wrong?

0:27:20.280 --> 0:27:22.520
<v Speaker 3>And so we I think that we're very conscious of

0:27:23.400 --> 0:27:26.680
<v Speaker 3>the biggest trap you can get caught in this business

0:27:26.760 --> 0:27:29.439
<v Speaker 3>is getting dogmatic on a position and what you think

0:27:29.480 --> 0:27:31.159
<v Speaker 3>of business is worth and you keep doubling, and you

0:27:31.200 --> 0:27:34.520
<v Speaker 3>keep doubling, you keep things deteriorating things, and that's, you know,

0:27:34.640 --> 0:27:37.800
<v Speaker 3>such a big trap. So what we we have a

0:27:37.800 --> 0:27:40.000
<v Speaker 3>few things in place for that. One is we review

0:27:40.080 --> 0:27:43.240
<v Speaker 3>positions if they've been in the portfolio and they've not worked,

0:27:43.280 --> 0:27:44.800
<v Speaker 3>or they've been in a long time and they've not

0:27:44.800 --> 0:27:47.840
<v Speaker 3>really done very much, or something's changed in the thesis.

0:27:47.840 --> 0:27:50.960
<v Speaker 3>We have set points. We review But the bigger and

0:27:51.040 --> 0:27:53.200
<v Speaker 3>most interesting piece is probably to talk about our decision

0:27:53.200 --> 0:27:57.680
<v Speaker 3>analytics team. I talked about individual accountability running through the firm,

0:27:57.920 --> 0:28:01.960
<v Speaker 3>and we've obsessed about collecting data on every person's decisions

0:28:02.320 --> 0:28:04.159
<v Speaker 3>right back to sort of the early nineties, and we

0:28:04.240 --> 0:28:07.160
<v Speaker 3>got this big database of everyone's decision making over time,

0:28:07.480 --> 0:28:10.280
<v Speaker 3>and we have a specific team called the decision Analytics team,

0:28:10.280 --> 0:28:12.520
<v Speaker 3>and they take all that data and they pick it

0:28:12.560 --> 0:28:15.000
<v Speaker 3>apart and they figure out what it is you're doing wrong,

0:28:15.040 --> 0:28:17.000
<v Speaker 3>and what it is you're doing very well, and how

0:28:17.040 --> 0:28:19.080
<v Speaker 3>you can improve and how you can change. And we

0:28:19.119 --> 0:28:21.480
<v Speaker 3>look at things common to the firm, to the funds,

0:28:21.520 --> 0:28:23.800
<v Speaker 3>you look at things that are very specific to individuals,

0:28:23.840 --> 0:28:26.359
<v Speaker 3>and we try and tailor that analysis. And one of

0:28:26.359 --> 0:28:30.879
<v Speaker 3>this the elements is you know, selling decisions or you know,

0:28:30.880 --> 0:28:33.320
<v Speaker 3>getting stuck in. So one of the common comments are

0:28:33.320 --> 0:28:38.240
<v Speaker 3>common bias. You you you're sitting in a position and

0:28:38.280 --> 0:28:41.480
<v Speaker 3>a losing position, and you're just not doing anything. It's

0:28:41.520 --> 0:28:44.000
<v Speaker 3>almost like you're frozen. And then we do see that

0:28:44.040 --> 0:28:46.160
<v Speaker 3>across certain individuals in the firm, and the data can

0:28:46.160 --> 0:28:47.800
<v Speaker 3>pull that out and just hold it up to you

0:28:47.840 --> 0:28:50.440
<v Speaker 3>and say, you know, based on what you currently hold

0:28:51.560 --> 0:28:55.840
<v Speaker 3>these stocks fit that pattern, and you get you'll get

0:28:55.840 --> 0:28:57.560
<v Speaker 3>a nut, they'll call you up. But you also get

0:28:57.600 --> 0:29:00.920
<v Speaker 3>sort of digital nudges within your platform, within through email

0:29:01.600 --> 0:29:03.840
<v Speaker 3>saying I have a think about this. You know, maybe

0:29:03.840 --> 0:29:05.880
<v Speaker 3>you should be doing this so x or y, maybe

0:29:05.920 --> 0:29:06.840
<v Speaker 3>you should be reviewing it.

0:29:07.000 --> 0:29:07.200
<v Speaker 2>You know.

0:29:07.360 --> 0:29:11.720
<v Speaker 3>Really what it's a one good way is start from scratch.

0:29:11.720 --> 0:29:13.200
<v Speaker 3>If you're going to start from scratch today, where do

0:29:13.240 --> 0:29:13.920
<v Speaker 3>you own this or not?

0:29:14.280 --> 0:29:14.440
<v Speaker 2>You know?

0:29:14.480 --> 0:29:16.000
<v Speaker 3>I know, we know you own it? Would you own

0:29:16.040 --> 0:29:18.520
<v Speaker 3>it if you're just building a portfolio? So a little

0:29:18.520 --> 0:29:22.080
<v Speaker 3>mental exercises like that helps simple stuff. But that's been

0:29:22.160 --> 0:29:26.520
<v Speaker 3>really helpful to have the objective data driven team come

0:29:26.560 --> 0:29:30.920
<v Speaker 3>in and and help us to understand, you know, what

0:29:30.920 --> 0:29:32.240
<v Speaker 3>we could do better in that regard.

0:29:34.120 --> 0:29:37.040
<v Speaker 2>I mean, one of my last questions is your often

0:29:37.120 --> 0:29:41.440
<v Speaker 2>has done tremendously wells on the short and medium and

0:29:41.520 --> 0:29:44.120
<v Speaker 2>long term as well. I mean, what do you think

0:29:44.160 --> 0:29:47.480
<v Speaker 2>of all the market has missed on all these market

0:29:47.560 --> 0:29:50.640
<v Speaker 2>opportunities that you have been able to identify. Do you

0:29:50.720 --> 0:29:54.560
<v Speaker 2>think it was really the work on the valuation that

0:29:54.600 --> 0:29:59.240
<v Speaker 2>you are better at really estimating what is an interesting

0:29:59.480 --> 0:30:02.800
<v Speaker 2>value of a company? Or do you think because market

0:30:02.880 --> 0:30:08.520
<v Speaker 2>is paying too much attention to the noise, or so

0:30:08.720 --> 0:30:11.800
<v Speaker 2>it's I think what was a very good comment about

0:30:11.920 --> 0:30:15.960
<v Speaker 2>Portfralio manager sometime coming from being an industry analyst with

0:30:16.160 --> 0:30:19.760
<v Speaker 2>very great expertise on a limited set of stocks, but

0:30:19.800 --> 0:30:22.520
<v Speaker 2>then when you have to manage a much bigger set

0:30:22.920 --> 0:30:26.960
<v Speaker 2>it becomes a much bigger challenge. Or what do you

0:30:27.000 --> 0:30:30.840
<v Speaker 2>think is really behind your the result of your success.

0:30:31.000 --> 0:30:32.480
<v Speaker 3>I think a part of it is, you know so

0:30:32.520 --> 0:30:38.600
<v Speaker 3>that latter, well, let me hit that first. It's difficult.

0:30:38.640 --> 0:30:42.360
<v Speaker 3>The industry is so difficult because you could have the

0:30:42.400 --> 0:30:47.800
<v Speaker 3>most skilled person looking at Japanese financials and you could

0:30:48.080 --> 0:30:51.520
<v Speaker 3>reward them incredibly well for a wonderful job they're doing.

0:30:51.800 --> 0:30:55.440
<v Speaker 3>And because that is the secret source having people do that,

0:30:55.440 --> 0:30:58.560
<v Speaker 3>that's the secret source of any manager having that expertise

0:30:58.720 --> 0:31:01.960
<v Speaker 3>and someone with an incredible judgment finding those few ideas

0:31:02.000 --> 0:31:06.560
<v Speaker 3>a year. But we're all people. We've got to manage people,

0:31:06.720 --> 0:31:10.239
<v Speaker 3>and people have career aspirations and they don't want to

0:31:10.280 --> 0:31:14.000
<v Speaker 3>be looking at one sector for thirty years, and so

0:31:14.280 --> 0:31:16.400
<v Speaker 3>you have to manage that balance. But what we think

0:31:16.400 --> 0:31:19.880
<v Speaker 3>we've done quite well is sort of is emphasized internally

0:31:19.960 --> 0:31:22.280
<v Speaker 3>and externally just how critical that is, that is the

0:31:22.320 --> 0:31:25.240
<v Speaker 3>engine of our success. Having key people with the stock

0:31:25.280 --> 0:31:28.840
<v Speaker 3>pickers across our different team. That's number one. Number two,

0:31:28.880 --> 0:31:34.160
<v Speaker 3>I think sometimes the market goes absolutely bonkers, right, We've

0:31:34.200 --> 0:31:37.160
<v Speaker 3>seen the period like it's the people standing around the

0:31:37.200 --> 0:31:42.560
<v Speaker 3>candy jar and convincing one or two people convincing everybody

0:31:42.640 --> 0:31:47.120
<v Speaker 3>else that there's only ten candies in the jar when

0:31:47.160 --> 0:31:49.480
<v Speaker 3>there's a thousand or whatever. It's just they get so

0:31:50.040 --> 0:31:53.280
<v Speaker 3>inefficiencies get so out of whack at certain periods. And

0:31:53.280 --> 0:31:56.120
<v Speaker 3>we saw that of course in the late eighties, we

0:31:56.200 --> 0:31:58.200
<v Speaker 3>saw it in the mid seventies, we've seen in the

0:31:58.240 --> 0:32:00.720
<v Speaker 3>late nineties. In twenty twenty one was the biggest we've

0:32:00.720 --> 0:32:03.080
<v Speaker 3>ever seen. We've got data on this. You can see

0:32:03.080 --> 0:32:07.040
<v Speaker 3>the dislocations were absolutely immense. So having a portfolio that's

0:32:07.080 --> 0:32:09.880
<v Speaker 3>able to move capital efficiently and effectively to those most

0:32:09.880 --> 0:32:13.760
<v Speaker 3>dislocated areas in a really kind of dispassionate way, I

0:32:13.760 --> 0:32:16.040
<v Speaker 3>think about it as you know, the market could be

0:32:16.080 --> 0:32:19.320
<v Speaker 3>a surface, and if the surface is completely flat and perfect,

0:32:19.840 --> 0:32:24.120
<v Speaker 3>it's efficient. But you know, often these big crevices emerge

0:32:25.080 --> 0:32:29.520
<v Speaker 3>and they're the inefficiencies and big undervaluations, and the portfolio

0:32:29.560 --> 0:32:31.080
<v Speaker 3>has to be like water. It has to just flow

0:32:31.080 --> 0:32:34.040
<v Speaker 3>into the crevices with no friction. And so we've been

0:32:34.120 --> 0:32:36.400
<v Speaker 3>quite good at that getting the portfolio the right areas.

0:32:38.440 --> 0:32:41.959
<v Speaker 3>And then it's at other times normal times, it's just

0:32:42.440 --> 0:32:45.560
<v Speaker 3>it's just the being very, very disciplined and mechanical about

0:32:45.560 --> 0:32:49.600
<v Speaker 3>what we're doing and finding those sort of rare inefficiencies

0:32:49.640 --> 0:32:52.360
<v Speaker 3>which comes from the specialists and comes from having the

0:32:52.400 --> 0:32:52.880
<v Speaker 3>right people.

0:32:54.440 --> 0:32:58.320
<v Speaker 1>Now you had mentioned your decision analytics team, and so

0:32:58.560 --> 0:33:00.800
<v Speaker 1>kind of brought up in my mind. Do you have

0:33:00.960 --> 0:33:03.480
<v Speaker 1>a you know, as part of the process, a risk

0:33:03.640 --> 0:33:08.000
<v Speaker 1>management aspect of you know, trying to limit risk for

0:33:08.080 --> 0:33:10.560
<v Speaker 1>the portfolio. Is that part of it in terms of

0:33:10.600 --> 0:33:11.360
<v Speaker 1>decision making?

0:33:11.920 --> 0:33:14.720
<v Speaker 3>Yes, So I would say there's three things that go

0:33:14.760 --> 0:33:18.760
<v Speaker 3>into a position. Size one would be discount to intrinsic value,

0:33:20.160 --> 0:33:24.560
<v Speaker 3>the big one, right, Two would be the distribution of

0:33:24.600 --> 0:33:31.480
<v Speaker 3>outcomes around an intrinsic value. You know, some some some

0:33:31.640 --> 0:33:34.600
<v Speaker 3>companies you have very high confidence in how the future

0:33:34.680 --> 0:33:36.880
<v Speaker 3>is going to look as high as you possibly can

0:33:36.920 --> 0:33:39.440
<v Speaker 3>have in a sort of uncertain world, and other companies

0:33:39.440 --> 0:33:43.680
<v Speaker 3>you've got a massive range of outcomes. Massive you are,

0:33:43.760 --> 0:33:46.360
<v Speaker 3>and that gives you an intrinsic value range. It's huge,

0:33:47.280 --> 0:33:49.320
<v Speaker 3>and you know, if the price is at the bottom

0:33:49.360 --> 0:33:52.000
<v Speaker 3>of that, that's great, but you might not put a

0:33:52.000 --> 0:33:54.840
<v Speaker 3>big position behind it because just the distribution of outcomes

0:33:54.880 --> 0:33:58.080
<v Speaker 3>are so wide. And the third is, which is to

0:33:58.160 --> 0:34:03.160
<v Speaker 3>your point, correlations in the polio. So what we don't want,

0:34:03.640 --> 0:34:06.760
<v Speaker 3>which quite often happens in markets, is inefficiencies will gather

0:34:06.800 --> 0:34:08.560
<v Speaker 3>all in one area. We don't want to just put

0:34:08.600 --> 0:34:10.359
<v Speaker 3>all our capital in that one area, even if we're

0:34:10.440 --> 0:34:14.400
<v Speaker 3>very confident. So we have a risk team which is

0:34:14.440 --> 0:34:17.680
<v Speaker 3>sort of four or five people, and they analyze the market,

0:34:17.760 --> 0:34:21.279
<v Speaker 3>they analyze the portfolio, and they look for correlations which

0:34:21.280 --> 0:34:23.799
<v Speaker 3>are obvious, you know, the kind of sector and commodity

0:34:23.840 --> 0:34:26.440
<v Speaker 3>and interest rates sort of stuff, but also ones that

0:34:26.520 --> 0:34:28.680
<v Speaker 3>aren't obvious, because those are the ones that bite you.

0:34:29.920 --> 0:34:32.200
<v Speaker 3>If we're building and we're using some AI in that

0:34:32.239 --> 0:34:36.640
<v Speaker 3>in terms of trying to identify I mean, when we

0:34:36.640 --> 0:34:39.799
<v Speaker 3>think about AI is really I'm really talking about large

0:34:39.840 --> 0:34:42.040
<v Speaker 3>language models because AI has been around for a long time,

0:34:42.040 --> 0:34:45.600
<v Speaker 3>but specifically the innovation now is applying that to language

0:34:45.600 --> 0:34:47.520
<v Speaker 3>and so you can apply that in your business to

0:34:48.800 --> 0:34:51.680
<v Speaker 3>you know, what what what things that aren't captured in

0:34:51.719 --> 0:34:54.640
<v Speaker 3>your typical quant model. Can you find in ten k's

0:34:54.840 --> 0:34:57.080
<v Speaker 3>and your reports you know that are common to these

0:34:57.080 --> 0:35:01.080
<v Speaker 3>different companies that you hold, and then bring that to

0:35:01.600 --> 0:35:04.160
<v Speaker 3>a risk model for example. So those are the sorts

0:35:04.160 --> 0:35:04.719
<v Speaker 3>of things they.

0:35:04.640 --> 0:35:08.000
<v Speaker 2>Look at, maybe in terms of sectors. Coming back to

0:35:08.400 --> 0:35:11.920
<v Speaker 2>investment strategy and some of your earlier comments about the

0:35:12.239 --> 0:35:17.279
<v Speaker 2>generation of cash and how potentially is the market value it.

0:35:18.239 --> 0:35:21.520
<v Speaker 2>Do you have any preference when investing in sectors? I mean,

0:35:21.560 --> 0:35:24.759
<v Speaker 2>do you think that there are sectors which are definitely

0:35:25.600 --> 0:35:29.719
<v Speaker 2>high grows, very high return on capital employed because there

0:35:29.719 --> 0:35:34.239
<v Speaker 2>are some really mootes within those sectors which favor I

0:35:34.280 --> 0:35:39.040
<v Speaker 2>mean the returns. So do you have any preference or

0:35:39.080 --> 0:35:43.280
<v Speaker 2>are you very agnostic about Okay, I'm looking everywhere because

0:35:43.640 --> 0:35:47.160
<v Speaker 2>all investment opportunities can happen in any sector.

0:35:48.920 --> 0:35:53.640
<v Speaker 3>So very much the latter I mean preferences are dangerous

0:35:53.640 --> 0:35:58.720
<v Speaker 3>in my opinion. Okay, you end up biasing yourself towards

0:35:58.719 --> 0:36:03.600
<v Speaker 3>certain aspect, and I think that can color or what

0:36:03.680 --> 0:36:07.640
<v Speaker 3>should be a holistic view of intrinsic value of a business.

0:36:08.560 --> 0:36:11.279
<v Speaker 3>And you know, the decision analytics team help us a

0:36:11.280 --> 0:36:13.240
<v Speaker 3>little bit with that in terms of our own individual

0:36:13.280 --> 0:36:16.600
<v Speaker 3>preferences and biases. Now, it is true that certain people

0:36:16.640 --> 0:36:19.600
<v Speaker 3>are better at certain things. So you can always think

0:36:19.640 --> 0:36:23.319
<v Speaker 3>of like someone who is more oriented towards growth companies,

0:36:23.440 --> 0:36:26.560
<v Speaker 3>as you know, if they're doing it well, they are

0:36:26.640 --> 0:36:31.120
<v Speaker 3>genuinely better at being a futurist trying to look around

0:36:31.160 --> 0:36:33.360
<v Speaker 3>the corner, really thinking deeply about what the future is

0:36:33.360 --> 0:36:35.319
<v Speaker 3>going to look like. And there are other people that

0:36:35.360 --> 0:36:38.680
<v Speaker 3>an'swer good at that, and so that's okay, that's okay

0:36:38.760 --> 0:36:41.960
<v Speaker 3>to have a preference one way or the other because

0:36:41.960 --> 0:36:44.400
<v Speaker 3>it's around what you are good at, what your superpower is,

0:36:44.400 --> 0:36:47.160
<v Speaker 3>and we try to structure the firm to allow people

0:36:47.560 --> 0:36:51.200
<v Speaker 3>to leverage their superpower as much as possible, but holistically

0:36:51.239 --> 0:36:55.160
<v Speaker 3>across everybody in the firm. We should not be pushed

0:36:55.160 --> 0:36:57.759
<v Speaker 3>one way or the other towards certain types of companies.

0:36:57.960 --> 0:37:01.200
<v Speaker 3>It should be should be driven by what you know,

0:37:01.320 --> 0:37:05.920
<v Speaker 3>holistically what a business is worth. And so that's you

0:37:05.960 --> 0:37:08.759
<v Speaker 3>know how I would think about it.

0:37:08.840 --> 0:37:12.200
<v Speaker 1>Okay, great, So we just have one more question for

0:37:12.239 --> 0:37:14.239
<v Speaker 1>you before we let you go. More of a I

0:37:14.239 --> 0:37:17.800
<v Speaker 1>guess reflective question. You know, I know you mentioned Warren

0:37:17.840 --> 0:37:20.560
<v Speaker 1>Buffett at the beginning of this, you know, as a

0:37:21.000 --> 0:37:23.440
<v Speaker 1>good investor. I was just curious if you had, you know,

0:37:23.440 --> 0:37:25.319
<v Speaker 1>any there are any investors at the start of your

0:37:25.360 --> 0:37:26.880
<v Speaker 1>career you wanted to emulate.

0:37:31.719 --> 0:37:33.560
<v Speaker 3>So in the start of my career, you know, you

0:37:33.600 --> 0:37:37.200
<v Speaker 3>go and you read everything you can. That's what I

0:37:37.680 --> 0:37:39.600
<v Speaker 3>don't think I've read an investment book for ten years,

0:37:39.640 --> 0:37:44.040
<v Speaker 3>but I read them all early and I felt like

0:37:44.120 --> 0:37:46.439
<v Speaker 3>I gathered as much as I could possibly get from

0:37:46.680 --> 0:37:49.800
<v Speaker 3>the different people. And you know what what did strike

0:37:49.840 --> 0:37:53.160
<v Speaker 3>me was people all had different ways of going about it.

0:37:53.600 --> 0:37:56.280
<v Speaker 3>You know, Warren Buffett was very different to Peter Lynch,

0:37:56.520 --> 0:38:00.080
<v Speaker 3>very different to George Soros and and I love that

0:38:00.200 --> 0:38:02.239
<v Speaker 3>right because you know you can you can try to

0:38:02.280 --> 0:38:06.800
<v Speaker 3>pick bits from each of them and each thing works

0:38:06.840 --> 0:38:10.680
<v Speaker 3>better at different times and different market environments. The one

0:38:10.719 --> 0:38:16.000
<v Speaker 3>person I would would highlight who is won't be well known,

0:38:17.680 --> 0:38:21.279
<v Speaker 3>but he started at Fidelity in the in the sixties

0:38:21.320 --> 0:38:24.520
<v Speaker 3>with with I think with Jerry's is it Jerry side?

0:38:24.600 --> 0:38:27.120
<v Speaker 3>Is that the guy's name and Peter Lynch and all

0:38:27.160 --> 0:38:30.960
<v Speaker 3>of that cohort so with a very very strong group

0:38:31.719 --> 0:38:36.880
<v Speaker 3>and Fidelity in the sixties was Alan Gray who was

0:38:36.920 --> 0:38:39.360
<v Speaker 3>the founder of the Orbits. And Alan Gray and the

0:38:39.400 --> 0:38:42.520
<v Speaker 3>reason I would choose him because he was exceptional, absolutely exceptional,

0:38:42.600 --> 0:38:45.680
<v Speaker 3>and he was so under the radar because he was very,

0:38:45.800 --> 0:38:48.600
<v Speaker 3>very private about everything he did, to the point where

0:38:48.640 --> 0:38:55.560
<v Speaker 3>he believed that if he talked publicly about things, positions,

0:38:55.640 --> 0:38:59.959
<v Speaker 3>or whatever, it would impact his decision making and there

0:39:00.040 --> 0:39:04.279
<v Speaker 3>for impact client returns. He was so obsessed with, you know,

0:39:04.440 --> 0:39:07.680
<v Speaker 3>generating the best return he possibly could four clients that

0:39:07.800 --> 0:39:11.120
<v Speaker 3>he would almost his privacy came as a result of that.

0:39:11.200 --> 0:39:13.080
<v Speaker 3>He would be very you know, wouldn't He didn't like

0:39:13.120 --> 0:39:18.239
<v Speaker 3>the active way of going investing. But he was exceptional

0:39:18.520 --> 0:39:21.440
<v Speaker 3>and I got to work with him directly here for

0:39:21.960 --> 0:39:24.840
<v Speaker 3>quite a few years before he died, and he was

0:39:24.960 --> 0:39:30.120
<v Speaker 3>right up to the end. He was passionate about stock picking, obsessive.

0:39:31.280 --> 0:39:35.040
<v Speaker 3>It was just in his blood. And he was so

0:39:35.239 --> 0:39:38.840
<v Speaker 3>flexible in the way he invested. It was bottom up, intrinsic,

0:39:38.960 --> 0:39:42.080
<v Speaker 3>value driven, but he could go anywhere deep deep value,

0:39:42.200 --> 0:39:46.520
<v Speaker 3>high high growth. He could. You know, he would sometimes

0:39:46.520 --> 0:39:48.720
<v Speaker 3>come into my office and show me all of these charts.

0:39:48.960 --> 0:39:52.000
<v Speaker 3>He was a chartist technician, you know, he was a

0:39:52.040 --> 0:39:55.239
<v Speaker 3>macro guy. He could do currencies. It was just his

0:39:55.360 --> 0:39:59.719
<v Speaker 3>mind was absolutely phenomenal. And I learned, you know, in

0:39:59.719 --> 0:40:02.200
<v Speaker 3>a men to amount from him Oh.

0:40:02.160 --> 0:40:05.440
<v Speaker 1>That's great. This is a great discussion. Graham, thank you

0:40:05.520 --> 0:40:06.440
<v Speaker 1>again for joining us.

0:40:06.880 --> 0:40:07.919
<v Speaker 3>Thank you that much fun.

0:40:08.280 --> 0:40:10.920
<v Speaker 1>And Laurent, thank you for serving as my co host today.

0:40:11.719 --> 0:40:14.680
<v Speaker 1>All welcome until our next episode. This is David Cohne

0:40:14.719 --> 0:40:15.720
<v Speaker 1>with Inside Active

0:40:18.040 --> 0:40:18.080
<v Speaker 2>M