WEBVTT - Tom Slater on Growth Investing (Podcast)

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<v Speaker 1>This is Masters in Business with Barry Ridholts on Bloomberg

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<v Speaker 1>Radio this weekend. On the podcast, I have an extra

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<v Speaker 1>special guest. His name is Tom Slater. He's the head

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<v Speaker 1>of the US equities team at UK firm Bailey Gifford,

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<v Speaker 1>headquartered in Edinburgh. The firm has been around since They

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<v Speaker 1>manage pick a number, almost three hundred billion dollars in assets.

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<v Speaker 1>They've had explosive growth and they are not your typical

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<v Speaker 1>growth manager. They run concentrated portfolios. He referred to one

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<v Speaker 1>of the funds they run as growth at an unreasonable price,

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<v Speaker 1>but it's worked out really well. That fund is up

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<v Speaker 1>a hundred and twelve percent, almost a percent more than

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<v Speaker 1>the S and P five hundred and Really this conversation

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<v Speaker 1>is very much along the lines of what happens when

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<v Speaker 1>you rethink the investment process over long, long periods of

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<v Speaker 1>time and make well thought out, intelligent adjustments to how

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<v Speaker 1>you go about selecting companies, constructing portfolios, making cell decisions,

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<v Speaker 1>which Tom points out is where so many investors go awry.

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<v Speaker 1>You know, your downside in anyone's stock is limited pretty

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<v Speaker 1>much to but your upside is far far greater, and

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<v Speaker 1>as he points out, four percent or so of the

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<v Speaker 1>total US equity stocks are what has driven all of

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<v Speaker 1>the gains over the past century, and so it becomes

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<v Speaker 1>very important not to sell a stock that has potential

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<v Speaker 1>to keep growing. And if you look at their portfolio

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<v Speaker 1>grow substantially. They own things like Tesla and Netflix and

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<v Speaker 1>Alphabet etcetera. This was really a fascinating conversation if you

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<v Speaker 1>were at all interested in growth investing, if you want

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<v Speaker 1>to know why having a large to share and not

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<v Speaker 1>being a closet indexer is important as an active manager. Well,

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<v Speaker 1>this is going to be the interview few so, with

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<v Speaker 1>no further ado, my conversation with Tom Slater of Bailey Gifford.

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<v Speaker 1>This is Master's in Business with Barry Ridholts on Bloomberg Radio.

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<v Speaker 1>My special guest today is Tom Slater. He is the

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<v Speaker 1>head of the US equities team for Bailey Gifford, where

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<v Speaker 1>he has been a partner since two thousand and twelve.

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<v Speaker 1>He runs the long term Global Growth portfolios, which are

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<v Speaker 1>focused on growth companies that are both listed and private.

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<v Speaker 1>Tom Slater, Welcome to Bloomberg. Hi Berry, Thank you very

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<v Speaker 1>much for having me. So let's start a little bit

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<v Speaker 1>with your background. How did you find your way into

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<v Speaker 1>the investment management business. I know you have an experience

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<v Speaker 1>in computer science and mathematics. Yeah, that was that was

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<v Speaker 1>my background. I I studied mass and computer science University UM.

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<v Speaker 1>I was thinking probably about about doing something in in academia.

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<v Speaker 1>It was quite an interesting and exciting time in in

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<v Speaker 1>the computer science world ninety six to two thousands when

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<v Speaker 1>I was at university. But I had a very good

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<v Speaker 1>friend that that I studied Mass with and and she

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<v Speaker 1>went and worked in in the city of London during

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<v Speaker 1>our final sort university UM. She she came back Frans

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<v Speaker 1>of Franz Anderson, the name was she came. She came

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<v Speaker 1>back and she said to me that this this is that,

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<v Speaker 1>this is the direction we want to be looking at UM.

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<v Speaker 1>And that's what that was really the first time I

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<v Speaker 1>encountered the world of investment management UM. Probably the summer

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<v Speaker 1>really that that was a heck of a time in

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<v Speaker 1>terms of the end of that last big stock cycle.

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<v Speaker 1>Was that your formative experience the dot com boom and bust? Yes,

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<v Speaker 1>in a lot of ways it was. I started working

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<v Speaker 1>at Baiby Gifford in in September of two thousand, so

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<v Speaker 1>just after the peak of the boom, and and then

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<v Speaker 1>for the for the next three years, of the first

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<v Speaker 1>three years of my career, watch markets decline substantially. I

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<v Speaker 1>think there's this slight danger in quing it formative. And

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<v Speaker 1>of course there had been a lot of speculative excess

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<v Speaker 1>in that period, but some some amazing things have come

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<v Speaker 1>out of it as well. Subsequently, we've had a lot

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<v Speaker 1>of time for the work of Colota Perez at Sussex

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<v Speaker 1>University in this in this regard and and the link

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<v Speaker 1>between financial mania and subsequent technological innovation quite interesting. So

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<v Speaker 1>let's switch gears. You're an active manager and you are

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<v Speaker 1>both selecting stocks and determining how long to hold them.

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<v Speaker 1>And I want to ask you about a quote of

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<v Speaker 1>yours that I read where you you had written quote

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<v Speaker 1>the active management industry has done a poor job of

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<v Speaker 1>making the as for its own existence. Discuss that. I

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<v Speaker 1>think it's a really interesting area. By the the start

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<v Speaker 1>of it was was looking at this polarization between active

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<v Speaker 1>management and passive management and thinking through, well, what is

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<v Speaker 1>the what are we really trying to say about about

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<v Speaker 1>the case here? And it struck me that both both

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<v Speaker 1>passive and active had become terms that had become quite corrupted.

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<v Speaker 1>So in the in the case of the active management industry,

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<v Speaker 1>you see so many funds that label themselves as active,

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<v Speaker 1>that charge fees for active management, but have huge overlap

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<v Speaker 1>with the index or low active share as it's known.

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<v Speaker 1>And so what those companies are really focused on is

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<v Speaker 1>business risk and not producing an outcome that diverges too

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<v Speaker 1>much from the market, because of course, diverging too much

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<v Speaker 1>from the market is what leads you to your your

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<v Speaker 1>clients to fire. And so I think when you hear

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<v Speaker 1>those sort of hours from the act of management industry

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<v Speaker 1>about losing assets to passive management, in some ways the

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<v Speaker 1>industry has has been the architect of its own demands

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<v Speaker 1>by providing sufficient value to save us. And that leads

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<v Speaker 1>to these sort of remarkable results from the likes of

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<v Speaker 1>Cramers and Petagist so that show that there being a

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<v Speaker 1>correlation between active share and performance. So you have this

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<v Speaker 1>remarkable idea that you don't even need to know what

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<v Speaker 1>bets your fund manager is taking, simply that the fact

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<v Speaker 1>they are taking bets is likely to lead to a

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<v Speaker 1>better outcome, just because the aggregate statistics are dragged down

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<v Speaker 1>by those who aren't actually offering a genuine act of experience.

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<v Speaker 1>At the same time, though, you you the passive management industry,

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<v Speaker 1>I think has been guilty of coming up with so

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<v Speaker 1>many induicries against which to manage assets passively that you

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<v Speaker 1>can't help but concluded it is a little more than

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<v Speaker 1>a than an asset gathering exercise. There are more indseased

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<v Speaker 1>than than there are stocks to invest in, which was

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<v Speaker 1>which was a threshold that was crossed two or three

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<v Speaker 1>years ago. And so I think both both sides of

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<v Speaker 1>this argument have become quite polarized, that they've become at

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<v Speaker 1>times quite disingenuous. And that's what's what's taking bairy g

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<v Speaker 1>effort towards this idea of of categorizing ourselves as actual investors,

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<v Speaker 1>by which we mean that we aim to be long term, supportive,

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<v Speaker 1>engaged shareholders and companies, which is which is is nothing

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<v Speaker 1>to do with taking positions relative to an index. So

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<v Speaker 1>let's talk about one of the funds you're affiliated with,

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<v Speaker 1>the US Equity Growth Funds. It's up over a hundred

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<v Speaker 1>and twelve percent year to date. I have to assume

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<v Speaker 1>that has a substantial active share given the SMP is

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<v Speaker 1>up only year to date. Yes, we do not look

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<v Speaker 1>at the index when we construct portfolios. I think indices

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<v Speaker 1>are a good way to evaluate the performance of a

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<v Speaker 1>fund manager, so long as you do it over a

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<v Speaker 1>time scale which which is commensurate with the way that

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<v Speaker 1>which the fund is managed. But I think it's an

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<v Speaker 1>extremely dangerous way to start constructing a portfolio. So our

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<v Speaker 1>portfolios are constructed simply of the stocks that we think

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<v Speaker 1>offer the most exciting possibility is the greatest chance of

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<v Speaker 1>being exceptional companies, by which we mean addressing large opportunities,

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<v Speaker 1>having some form of sustainable edge and something special about

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<v Speaker 1>the culture and the way in which they go about

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<v Speaker 1>the task. So I discourage people from looking at the

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<v Speaker 1>one year numbers because I think one year numbers are

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<v Speaker 1>filled with noise, and actually extending the time frame looking

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<v Speaker 1>at three years, looking at five years is much more

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<v Speaker 1>likely to give investors evidence or otherwise of the skill

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<v Speaker 1>of the manager. So you use a benchmark that is

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<v Speaker 1>the S and P five plus one point five. I

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<v Speaker 1>have to ask where that benchmark came from. If you

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<v Speaker 1>were in British I would accuse you of showing off.

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<v Speaker 1>I think that is actually an artifact of of MIFED

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<v Speaker 1>regulations that we have to um have to declare our

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<v Speaker 1>performance objective, not just a benchmark, but a performance objective

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<v Speaker 1>for the fund. Um. I think if I have to

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<v Speaker 1>link that to a characteristic of Bailey Gifford, we have

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<v Speaker 1>an extremely strong compliance culture. Um. You if you go

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<v Speaker 1>way back in time, you know, um, after after the

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<v Speaker 1>Maxwell scandal and the raid on the pension fund, who

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<v Speaker 1>is that pension fund given to to manage? It was

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<v Speaker 1>daily gifted because the firm has a reputation of being

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<v Speaker 1>white and white when it comes to all of all

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<v Speaker 1>of these compliance um and management traits. And that's that's

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<v Speaker 1>really a function of the fact that the firm is

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<v Speaker 1>an unlimited liability partnership, which I think is a is

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<v Speaker 1>a very rare structure these days if you look at

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<v Speaker 1>the front management industry. But the forty yard partners who

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<v Speaker 1>work directly in the firm are personally liable for the

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<v Speaker 1>film's liabilities. And so when it comes to things like

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<v Speaker 1>MITHID regulations, we tend to follow the absolute letter of

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<v Speaker 1>the law and declare our performance relative to the one

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<v Speaker 1>and a half percent above the benchmark, you know, perhaps

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<v Speaker 1>a slightly more enthusiastic way than than many of our

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<v Speaker 1>peers might quite fascinating. So Tom, let me ask you,

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<v Speaker 1>how do you think about both assets under management and

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<v Speaker 1>how quickly the firm is growing when you're out looking

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<v Speaker 1>at companies or starts to buy. Yes, it's a really

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<v Speaker 1>interesting question. Um. The film was actually founded in so

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<v Speaker 1>if you look at the full sweep of its existency,

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<v Speaker 1>the growth hasn't been that explosive. But certainly our assets

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<v Speaker 1>and the management have have grown reasonably sharply of late.

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<v Speaker 1>But if you actually look at the flows of our clients, um,

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<v Speaker 1>there's there's significant flows both in and out, and the

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<v Speaker 1>net of those two numbers is just about zero. UM.

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<v Speaker 1>So the growth and assets has been much more to

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<v Speaker 1>do with investment performance and alpha generated for our clients

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<v Speaker 1>than it has from from an exercise around asset gathering.

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<v Speaker 1>And the reason for those two way flows is a

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<v Speaker 1>mixture of both the our core base of pension fund

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<v Speaker 1>clients gradually reducing their exposure to equities over time, and

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<v Speaker 1>then also clients rebalancing their portfolios. But in terms of

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<v Speaker 1>how I think about it, if you if you ask

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<v Speaker 1>me the question today what is bailic efforts assets and

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<v Speaker 1>the management, I wouldn't be able to tell you the

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<v Speaker 1>answer It's a statistic that at one stage in our

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<v Speaker 1>life used to be available on our Internet, but we

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<v Speaker 1>purposefully removed it. And the reason we did so is

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<v Speaker 1>that our objective is not to grow assets under management

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<v Speaker 1>in and of itself. UM. What we believe is that

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<v Speaker 1>if we do a good job from an investment standpoint

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<v Speaker 1>for our clients, if we provide a really high level

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<v Speaker 1>of service, that the assets and the management figure will

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<v Speaker 1>take care of itself. Um. One of the directors of

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<v Speaker 1>the investment trust that I managed, Scottish Mortgod Investment Trust,

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<v Speaker 1>wrote a book called Obliquity and talking about how those

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<v Speaker 1>things that had the greatest success often did that because

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<v Speaker 1>they pursued a different goal around delivering an excellent product

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<v Speaker 1>or service for their customers, and the success followed from

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<v Speaker 1>that they didn't target those financial objectives. Quite quite interesting. Well, well,

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<v Speaker 1>let's stick with the concept of both active share and

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<v Speaker 1>active management. You know, it's been the decade has really

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<v Speaker 1>been defined as the rise of passive and indexing. And

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<v Speaker 1>when we see firms like Vanguard at that six trillion

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<v Speaker 1>or Black Rocket eight trillion, that they've become the eight

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<v Speaker 1>hundred pound guerrillas, what should investors know about active strategies,

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<v Speaker 1>what types of strategies can work beyond simple passive indexing. Well,

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<v Speaker 1>I think passive indexing can be a great product for

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<v Speaker 1>and service. I think UM Vanguard does a fabulous job

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<v Speaker 1>of producing a really great value for money product for

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<v Speaker 1>savers UM and doing it with with real integrity. They

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<v Speaker 1>also have a very significant active management business, and again

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<v Speaker 1>they bring that that high quality attitude towards the way

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<v Speaker 1>they approached the task. I think that in an era

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<v Speaker 1>where there is so much change going on, where there

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<v Speaker 1>are companies using new business models, often underpinned by technology,

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<v Speaker 1>to bring transformational change in industries that have really historically

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<v Speaker 1>seen very little progress, UM that it creates pockets of growth,

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<v Speaker 1>creation of value that if you can tap into as

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<v Speaker 1>an act of manager, can be hugely valuable to your

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<v Speaker 1>underlying clients. UM. Now, it's it's it's important that you

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<v Speaker 1>have clarity around philosophy, process, what you're actually trying to do,

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<v Speaker 1>and it's it's centrally important that your fees are reasonable

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<v Speaker 1>and don't detract from that underlying experience at the end investor.

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<v Speaker 1>But I think subject to those qualifications, active management has

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<v Speaker 1>it has a huge amount to offer offer savers So

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<v Speaker 1>let's talk a little bit about active management. This era

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<v Speaker 1>is known, especially the past couple of years, for the

0:15:28.320 --> 0:15:32.840
<v Speaker 1>high valuations we've seen for for multiple growth companies. How

0:15:32.920 --> 0:15:37.680
<v Speaker 1>should investors think about valuations? The best stocks never look cheap,

0:15:38.280 --> 0:15:42.880
<v Speaker 1>but names that have looked historically expensive have done excellently

0:15:42.960 --> 0:15:47.600
<v Speaker 1>well this year. One of the ways we would characterize

0:15:47.600 --> 0:15:51.560
<v Speaker 1>our approach to investment would be the idea of growth

0:15:51.720 --> 0:15:58.440
<v Speaker 1>at an unreasonable price. And what what what it means

0:15:58.520 --> 0:16:03.840
<v Speaker 1>when I say that is that we're looking for companies

0:16:03.920 --> 0:16:09.160
<v Speaker 1>that address really big opportunities and where that opportunity is

0:16:09.240 --> 0:16:14.080
<v Speaker 1>often dynamic, it's often changing, and you have a hypothesis

0:16:14.160 --> 0:16:17.120
<v Speaker 1>about why this company might be the one to to

0:16:18.320 --> 0:16:23.440
<v Speaker 1>benefit from that change, but we don't know. But if

0:16:23.480 --> 0:16:25.840
<v Speaker 1>if the opportunity is big enough, if they if the

0:16:26.000 --> 0:16:28.000
<v Speaker 1>edge of the company is great enough, if there's something

0:16:28.120 --> 0:16:30.680
<v Speaker 1>special about the way it goes about that task, then

0:16:30.840 --> 0:16:36.480
<v Speaker 1>it can generate a huge amount of value. So if

0:16:36.560 --> 0:16:41.120
<v Speaker 1>you look at a company like Alphabet or Amazon, you

0:16:41.200 --> 0:16:45.960
<v Speaker 1>know these these companies have been vastly underestimated for most

0:16:46.360 --> 0:16:50.000
<v Speaker 1>of their life cycle. UM. I think it was Michael

0:16:50.080 --> 0:16:55.720
<v Speaker 1>Morrits Sequoia who said, why do we persistently underestimate just

0:16:55.960 --> 0:17:01.160
<v Speaker 1>how great a great company can be, and so we

0:17:01.400 --> 0:17:04.120
<v Speaker 1>we don't really look at multiples of near term earnings

0:17:04.200 --> 0:17:06.920
<v Speaker 1>or near term sales. We look at what might this

0:17:07.040 --> 0:17:10.000
<v Speaker 1>company achieve? Where could it be five years from now?

0:17:10.720 --> 0:17:13.480
<v Speaker 1>And I think over that time you can only think probabilistically.

0:17:13.520 --> 0:17:16.200
<v Speaker 1>There isn't an answer to that question. But if you

0:17:16.440 --> 0:17:19.240
<v Speaker 1>if you can identify one of those small number of

0:17:19.359 --> 0:17:23.160
<v Speaker 1>companies that are big winners in markets, um, then they

0:17:23.240 --> 0:17:27.760
<v Speaker 1>can justify paying what what may appear to be optically

0:17:28.400 --> 0:17:32.240
<v Speaker 1>high short term multiples because some of the growth opportunities

0:17:32.280 --> 0:17:34.760
<v Speaker 1>that are bound today are so open ended, and you

0:17:34.840 --> 0:17:36.439
<v Speaker 1>see a lot of when it takes all or when

0:17:36.520 --> 0:17:39.639
<v Speaker 1>it takes most economics. So I'm looking at the Bailey

0:17:39.680 --> 0:17:43.879
<v Speaker 1>Gifford US equity growth funds. The top ten holdings are

0:17:43.960 --> 0:17:49.399
<v Speaker 1>fairly concentrated. It's about fift the portfolio with a lot

0:17:49.480 --> 0:17:51.200
<v Speaker 1>of names that I think a lot of people would

0:17:51.200 --> 0:17:57.960
<v Speaker 1>recognize Tesla, Amazon, Shopify, Wayfair, Netflix, Alphabet, MasterCard. I have

0:17:58.119 --> 0:18:03.080
<v Speaker 1>to ask about check and Trade Desk, two companies I

0:18:03.160 --> 0:18:08.120
<v Speaker 1>am not all that familiar with. Yeah, if you look

0:18:08.200 --> 0:18:13.320
<v Speaker 1>at those two companies checkers and Education Platform, I think

0:18:13.359 --> 0:18:15.840
<v Speaker 1>there are. There are a lot of challenges faced by

0:18:16.040 --> 0:18:21.000
<v Speaker 1>the education system. And what CHECK has done is through

0:18:21.080 --> 0:18:26.680
<v Speaker 1>a director consumer model based around questions and answers products

0:18:27.359 --> 0:18:33.520
<v Speaker 1>um it. It is helping students to get measurably better

0:18:33.760 --> 0:18:38.320
<v Speaker 1>outcomes in in in their examinations, but around that and

0:18:38.840 --> 0:18:42.159
<v Speaker 1>on top of that it can build um all sorts

0:18:42.400 --> 0:18:47.199
<v Speaker 1>of products associated with student access and and in an

0:18:47.320 --> 0:18:52.920
<v Speaker 1>environment where college education is so expensive and inflation is

0:18:53.040 --> 0:18:57.480
<v Speaker 1>so high, actually providing a cost effective solution that demonstrates

0:18:57.600 --> 0:19:01.680
<v Speaker 1>value for money for students is something that I think

0:19:01.800 --> 0:19:06.359
<v Speaker 1>has a huge potential runway. UM You you've talked a

0:19:06.400 --> 0:19:08.520
<v Speaker 1>little bit about this year and the unusual traits of

0:19:08.600 --> 0:19:11.880
<v Speaker 1>this year. You know, I think what this year has

0:19:11.960 --> 0:19:16.440
<v Speaker 1>shown a spotlight on is um the challenges the education

0:19:16.720 --> 0:19:20.920
<v Speaker 1>sector has faced in embracing digital tools, digital methods of delivery.

0:19:21.680 --> 0:19:24.920
<v Speaker 1>Here in the fur management industry, here I am working

0:19:25.000 --> 0:19:28.200
<v Speaker 1>from home using a whole array of cloud based services.

0:19:28.320 --> 0:19:31.680
<v Speaker 1>It's it's probably made me more productive, not less productive.

0:19:32.200 --> 0:19:35.080
<v Speaker 1>But if I look at my children and their educational experience,

0:19:35.400 --> 0:19:38.359
<v Speaker 1>you know, as these UM state at home orders have

0:19:38.800 --> 0:19:41.200
<v Speaker 1>come through, you know, it's really shown a spotlight on

0:19:41.560 --> 0:19:44.919
<v Speaker 1>on how slow the education sector has been to embrace

0:19:44.960 --> 0:19:47.760
<v Speaker 1>some of these tools. Now check is a company that

0:19:48.760 --> 0:19:53.800
<v Speaker 1>it's run by its founder, a significant amount of equity

0:19:53.960 --> 0:19:57.240
<v Speaker 1>tied up in of their own wealth, tied up in

0:19:57.280 --> 0:19:59.439
<v Speaker 1>the equity of the business. It's run with a very

0:19:59.520 --> 0:20:02.840
<v Speaker 1>long time horizon, exactly the type of characteristics that we're

0:20:03.119 --> 0:20:05.440
<v Speaker 1>looking for in the in the long term growth businesses

0:20:05.520 --> 0:20:07.639
<v Speaker 1>that we invest in. I would say, and you know

0:20:07.720 --> 0:20:09.720
<v Speaker 1>if you when you when you talk to you talked

0:20:09.760 --> 0:20:13.480
<v Speaker 1>a bit about some of those UM top holdings, and

0:20:13.880 --> 0:20:16.000
<v Speaker 1>you know, if I was to pull out at difference

0:20:16.160 --> 0:20:20.280
<v Speaker 1>perhaps in the way we approached the task versus versus

0:20:20.359 --> 0:20:23.440
<v Speaker 1>some of our peers, it would be in the in

0:20:23.560 --> 0:20:28.200
<v Speaker 1>the longevity of the holdings. So you know, um, Amazon,

0:20:29.200 --> 0:20:32.560
<v Speaker 1>we bought in two thousand and five, so the holding

0:20:32.600 --> 0:20:35.600
<v Speaker 1>period as far as been fifteen years, and you know

0:20:36.600 --> 0:20:39.480
<v Speaker 1>has two thousand and thirteen, it's been seven years. So

0:20:39.640 --> 0:20:42.480
<v Speaker 1>it's the time horizon, not not the recent growth that

0:20:42.560 --> 0:20:46.159
<v Speaker 1>I think is the is a really important and defining characteristic.

0:20:46.680 --> 0:20:50.560
<v Speaker 1>Quite interesting. So Tom, let's talk a little bit about Passive.

0:20:50.760 --> 0:20:56.160
<v Speaker 1>You've talked about why Active doesn't do such a good

0:20:56.280 --> 0:21:00.320
<v Speaker 1>job of explaining their own existence. Kind of left the

0:21:00.400 --> 0:21:03.440
<v Speaker 1>field all alone to passive. But I want to come

0:21:03.480 --> 0:21:07.679
<v Speaker 1>back to another statement you made, quote the average active

0:21:07.760 --> 0:21:14.320
<v Speaker 1>manager will underperform the market. Unfortunately, this statement is mathematically inevitable.

0:21:15.160 --> 0:21:21.440
<v Speaker 1>Isn't that essentially the underlying argument in favor of passive Yeah,

0:21:21.840 --> 0:21:25.000
<v Speaker 1>I mean, I guess what what I is getting up is.

0:21:25.160 --> 0:21:27.480
<v Speaker 1>You know, if you if you say the market is

0:21:28.200 --> 0:21:32.520
<v Speaker 1>is made up of active and passive approaches to investment,

0:21:33.040 --> 0:21:38.000
<v Speaker 1>then after fees, you are guaranteed to see those brooches

0:21:38.359 --> 0:21:41.720
<v Speaker 1>underperform whatever the benchmark is. And since the fees on

0:21:41.760 --> 0:21:45.359
<v Speaker 1>active management are higher and see some passive management, you

0:21:45.400 --> 0:21:48.679
<v Speaker 1>would expect that that in some day or to as

0:21:48.720 --> 0:21:52.960
<v Speaker 1>a group underperform unerformed by a greater amount. But I

0:21:53.000 --> 0:21:55.000
<v Speaker 1>think you you know you You have to come back

0:21:55.160 --> 0:22:00.400
<v Speaker 1>to some of the challenges around what is active management.

0:22:00.960 --> 0:22:04.600
<v Speaker 1>And there are some some rules of of um not

0:22:04.960 --> 0:22:07.720
<v Speaker 1>even rules of fun. But there are some some interesting

0:22:07.760 --> 0:22:11.920
<v Speaker 1>academic results in this area. One we've touched on is

0:22:12.320 --> 0:22:16.520
<v Speaker 1>that simply having a higher active share chorities positively with

0:22:16.600 --> 0:22:20.679
<v Speaker 1>performance outcomes. But I think in the subsequent academic results

0:22:20.720 --> 0:22:25.920
<v Speaker 1>have shown that time horizon is also important in this

0:22:26.680 --> 0:22:29.400
<v Speaker 1>and as as you extend the time horizon. The academic

0:22:29.440 --> 0:22:35.160
<v Speaker 1>evidence is also supportive of better outcomes for for active management.

0:22:36.119 --> 0:22:40.560
<v Speaker 1>So I don't know, I don't think the averages matter

0:22:40.720 --> 0:22:45.200
<v Speaker 1>a great deal. It's much more about can you can

0:22:45.240 --> 0:22:47.800
<v Speaker 1>you find investment manager with the philosophy and process that

0:22:47.920 --> 0:22:50.800
<v Speaker 1>you believe in? Do they keep their fees to a

0:22:50.880 --> 0:22:53.639
<v Speaker 1>minimum so that you as an individual have to have

0:22:53.800 --> 0:22:57.919
<v Speaker 1>the best chance of our performing because the fees are

0:22:57.960 --> 0:23:00.600
<v Speaker 1>the one part that we do have sitt and t about.

0:23:01.119 --> 0:23:02.960
<v Speaker 1>And then it's you know, when you when you when

0:23:03.000 --> 0:23:05.440
<v Speaker 1>you believe you have found the manager that meets this

0:23:05.520 --> 0:23:09.840
<v Speaker 1>great area. If little changes, then stick with them through

0:23:09.920 --> 0:23:14.119
<v Speaker 1>inevitable performance cycles. You know, the the oldest client I

0:23:14.800 --> 0:23:17.679
<v Speaker 1>manage money for a betting g EFFITS is Scottish Mortgage

0:23:17.720 --> 0:23:20.879
<v Speaker 1>Investment Trust. We've we've managed that that fund for a

0:23:20.960 --> 0:23:24.320
<v Speaker 1>hundred and twelve years through the Great Depression and two

0:23:24.359 --> 0:23:27.720
<v Speaker 1>World Wars and unfortunately the performance numbers that come out

0:23:27.760 --> 0:23:31.879
<v Speaker 1>of that are not gifts compliant. But over that hundred

0:23:32.119 --> 0:23:34.800
<v Speaker 1>and twelve year period, you know, it is has been

0:23:34.920 --> 0:23:40.240
<v Speaker 1>a phenomenally attractive thing for investors to be invested in

0:23:40.359 --> 0:23:44.359
<v Speaker 1>an in an actively managed fund, quite interesting for Americans

0:23:44.400 --> 0:23:48.120
<v Speaker 1>who may not be familiar with what the Scottish Mortgage

0:23:48.160 --> 0:23:51.800
<v Speaker 1>Trust investment trust is. Can you explain a little bit

0:23:51.960 --> 0:23:56.320
<v Speaker 1>exactly what that entity is. I can't. Yes, it's it's

0:23:56.320 --> 0:24:01.120
<v Speaker 1>a closed ended investment vehicle listed on the London Stock Exchange.

0:24:01.760 --> 0:24:05.120
<v Speaker 1>It's capitalized around twenty five billion dollars. It's a member

0:24:05.200 --> 0:24:09.480
<v Speaker 1>of the foot See Index UM. But it's really a

0:24:09.600 --> 0:24:15.080
<v Speaker 1>collective investment vehicle UM that was raised in originally in

0:24:15.280 --> 0:24:18.960
<v Speaker 1>in in the fund structures that invested in that time.

0:24:19.480 --> 0:24:24.080
<v Speaker 1>But it's an incredibly flexible structure UM. It has an

0:24:24.119 --> 0:24:28.440
<v Speaker 1>independent board of directors who are who are of extremely

0:24:28.520 --> 0:24:32.680
<v Speaker 1>valuable source of council and advice for us as the

0:24:32.720 --> 0:24:36.480
<v Speaker 1>managers who do a great job of protecting the interests

0:24:36.640 --> 0:24:41.280
<v Speaker 1>of the tens of thousands of independent shareholders in the trust.

0:24:42.359 --> 0:24:46.120
<v Speaker 1>And it's a very flexible structure being being closed ended

0:24:46.119 --> 0:24:49.000
<v Speaker 1>in a permanent pool of capital, allowing us to invest

0:24:49.080 --> 0:24:53.479
<v Speaker 1>in both public and private companies really on the basis

0:24:53.520 --> 0:24:57.080
<v Speaker 1>of where we find the most exceptional opportunities with without

0:24:57.119 --> 0:25:00.760
<v Speaker 1>worrying about a company's public or private status, and in

0:25:01.000 --> 0:25:05.399
<v Speaker 1>an environment where many companies are able to grow very

0:25:05.520 --> 0:25:09.760
<v Speaker 1>rapidly with very modest capital requirements, often staying private for longer.

0:25:10.280 --> 0:25:12.960
<v Speaker 1>It's a structure that allows us to many maintain the

0:25:13.000 --> 0:25:16.520
<v Speaker 1>opportunity set of investing in the world's greatest growth companies.

0:25:17.040 --> 0:25:21.159
<v Speaker 1>So let's stick with the idea of private. Generally speaking,

0:25:21.240 --> 0:25:24.520
<v Speaker 1>we're seeing companies staying private for longer. As you mentioned,

0:25:24.600 --> 0:25:27.920
<v Speaker 1>they're they're not I P O in as often, and

0:25:28.080 --> 0:25:32.159
<v Speaker 1>there's clearly no passive, comparable sort of fund for pre

0:25:32.320 --> 0:25:39.040
<v Speaker 1>public companies. How different is making the stock selection decision

0:25:39.240 --> 0:25:43.400
<v Speaker 1>about private companies compared to what we see for publicly

0:25:43.440 --> 0:25:46.160
<v Speaker 1>traded firms. We have to be clear about what we're

0:25:46.160 --> 0:25:50.800
<v Speaker 1>trying to do here. We're investing in growth companies and

0:25:51.640 --> 0:25:55.280
<v Speaker 1>companies that we aren't venture couplists. We're not going in

0:25:55.480 --> 0:26:00.840
<v Speaker 1>and funding two people in a garage, um where where.

0:26:00.960 --> 0:26:03.000
<v Speaker 1>But we are investing in companies that have chosen to

0:26:03.000 --> 0:26:06.800
<v Speaker 1>stay private, possibly because you know, in in today's world,

0:26:06.920 --> 0:26:11.160
<v Speaker 1>where your addressable market is, there's three billion people globally

0:26:11.280 --> 0:26:15.520
<v Speaker 1>that have a smartphone where you can address that market

0:26:15.640 --> 0:26:19.800
<v Speaker 1>without investing in significant couple capital. You know you can

0:26:19.880 --> 0:26:23.200
<v Speaker 1>pay five percent of revenue to an Amazon Web services,

0:26:23.800 --> 0:26:26.360
<v Speaker 1>pay thirty percent to an app store, and then suddenly

0:26:26.600 --> 0:26:30.440
<v Speaker 1>you know that that three billion people is an addressable audience.

0:26:30.880 --> 0:26:34.360
<v Speaker 1>And as a result, with very modest capitals and investors,

0:26:34.480 --> 0:26:37.880
<v Speaker 1>you can see that the most successful companies really growed

0:26:38.000 --> 0:26:43.520
<v Speaker 1>to phenomenal size very rapidly. And so our observation was

0:26:43.640 --> 0:26:48.000
<v Speaker 1>that these are companies in another era that we you know,

0:26:48.240 --> 0:26:51.320
<v Speaker 1>we've we may well have been investing in any way

0:26:52.400 --> 0:26:54.600
<v Speaker 1>because because they would have come to public markets at

0:26:54.640 --> 0:26:57.240
<v Speaker 1>a much earlier stage. So I think in terms of

0:26:57.320 --> 0:27:00.679
<v Speaker 1>the decisions about investment, there's there's very little different. There

0:27:00.720 --> 0:27:03.960
<v Speaker 1>are some technical differences around the leagal negotiations around the

0:27:04.000 --> 0:27:06.600
<v Speaker 1>type of shares to you, but but I think that's

0:27:07.040 --> 0:27:09.600
<v Speaker 1>sort of slightly tangential to the to the core task

0:27:09.760 --> 0:27:13.280
<v Speaker 1>of picking the picking the investments. I think the other

0:27:13.359 --> 0:27:16.920
<v Speaker 1>thing to to to to comment on is you know

0:27:17.040 --> 0:27:19.600
<v Speaker 1>the costs at which this can be done. You know,

0:27:19.800 --> 0:27:23.920
<v Speaker 1>the the ongoing charges of Scottish mortgage investment trusts is

0:27:23.960 --> 0:27:26.440
<v Speaker 1>around thirty six basis points or just over a third

0:27:26.520 --> 0:27:29.600
<v Speaker 1>or one percent, And think for our shoolders to get

0:27:29.640 --> 0:27:34.360
<v Speaker 1>access to some of the world um most promising private

0:27:34.440 --> 0:27:38.720
<v Speaker 1>companies within that type of cost structure is game changing,

0:27:39.640 --> 0:27:44.200
<v Speaker 1>quite quite fascinating. So the equity markets in the US

0:27:44.280 --> 0:27:48.879
<v Speaker 1>have been dominated by the fang stocks or the phantom stocks.

0:27:48.960 --> 0:27:54.880
<v Speaker 1>If we throw in Microsoft, Facebook, Apple, Alphabet, Amazon, Netflix, Google,

0:27:55.040 --> 0:27:57.120
<v Speaker 1>I guess, I guess we could add even another Egg

0:27:57.440 --> 0:28:01.160
<v Speaker 1>if we change Google to Alphabet. These are the companies

0:28:01.240 --> 0:28:05.840
<v Speaker 1>dominating today, but they weren't the dominant companies twenty years ago.

0:28:06.640 --> 0:28:10.400
<v Speaker 1>Are these going to be the dominant companies twenty years

0:28:10.480 --> 0:28:13.800
<v Speaker 1>from now? Well, I think the first thing we ought

0:28:13.840 --> 0:28:17.160
<v Speaker 1>to be careful of is how we talk about these companies.

0:28:17.920 --> 0:28:22.119
<v Speaker 1>I try to ban the use of the term fang internally,

0:28:22.800 --> 0:28:26.119
<v Speaker 1>and the reason is that it creates this idea of

0:28:26.440 --> 0:28:29.960
<v Speaker 1>equivalence that this is, you know, these groups, these group

0:28:30.000 --> 0:28:33.520
<v Speaker 1>of companies driven by the same growth drivers, but also

0:28:33.840 --> 0:28:36.600
<v Speaker 1>affected by the same risk practice. You know, if you

0:28:37.000 --> 0:28:39.720
<v Speaker 1>if you go back and in fifteen years we were

0:28:39.760 --> 0:28:42.280
<v Speaker 1>all talking about the bricks. She was like, I think

0:28:42.280 --> 0:28:46.680
<v Speaker 1>an acronym coined by Jim O'Neill. But it was it

0:28:46.760 --> 0:28:50.560
<v Speaker 1>was an emerjoring markets Brazil, Russia, India, China. Now, if

0:28:50.600 --> 0:28:53.360
<v Speaker 1>you if you actually look at what's happened since that

0:28:54.360 --> 0:29:00.440
<v Speaker 1>brick acronym was coined, China has created an economy a

0:29:00.560 --> 0:29:04.160
<v Speaker 1>new economy two times the size of the other three combined.

0:29:05.040 --> 0:29:07.680
<v Speaker 1>So so they were really never that alike as as

0:29:07.760 --> 0:29:12.280
<v Speaker 1>economies in the first place. And so we try to

0:29:12.320 --> 0:29:16.720
<v Speaker 1>think about these these companies separately from one another. Amazon

0:29:16.880 --> 0:29:20.840
<v Speaker 1>remains one of our largest holdings, and you know, I

0:29:20.960 --> 0:29:23.640
<v Speaker 1>think there we see a runway to to a much

0:29:23.760 --> 0:29:25.920
<v Speaker 1>bigger business as you as you look at some of

0:29:25.960 --> 0:29:30.000
<v Speaker 1>the different components there, from from the general merchandise business

0:29:30.120 --> 0:29:33.520
<v Speaker 1>to it's it's moving to grocery in the retail space,

0:29:33.640 --> 0:29:36.360
<v Speaker 1>to it's so it's move into new geographies such as India,

0:29:37.040 --> 0:29:41.440
<v Speaker 1>but also it's it's in this this sort of intangible

0:29:41.520 --> 0:29:45.360
<v Speaker 1>quality of being able to move into areas that there

0:29:45.400 --> 0:29:48.440
<v Speaker 1>are somewhat adjacent to where they are, but where it's

0:29:48.520 --> 0:29:51.400
<v Speaker 1>very hard for people to to to imagine their progress. So,

0:29:52.040 --> 0:29:55.120
<v Speaker 1>you know, I strongly believe Amazon Web Services is just

0:29:55.320 --> 0:29:58.080
<v Speaker 1>about the most important business that exists in the world today.

0:29:58.440 --> 0:30:00.520
<v Speaker 1>Now Wall Street is very good at value doing you know,

0:30:01.280 --> 0:30:07.520
<v Speaker 1>today's products, today's markets, it's very bad anticipating or valuing

0:30:07.880 --> 0:30:10.920
<v Speaker 1>imagination and ambition, and that has been such an important

0:30:11.000 --> 0:30:14.800
<v Speaker 1>driver of value growth at Amazon. So I think these companies,

0:30:14.880 --> 0:30:18.520
<v Speaker 1>you know, over the past decade when everybody's been searching

0:30:18.600 --> 0:30:21.320
<v Speaker 1>for who is the next Alphabet, who is the next Facebook,

0:30:21.360 --> 0:30:23.680
<v Speaker 1>who is the next Amazon? You know, what we've we've

0:30:23.720 --> 0:30:26.959
<v Speaker 1>seen is actually those companies have reinvented themselves. They've got

0:30:27.040 --> 0:30:29.400
<v Speaker 1>stronger as they've they've got bigger that they've sucked it

0:30:29.400 --> 0:30:33.719
<v Speaker 1>in economic activity from across the Internet and also from

0:30:33.760 --> 0:30:36.480
<v Speaker 1>the real economy. I think it's you know, it's a

0:30:36.600 --> 0:30:39.960
<v Speaker 1>it's a much more nuanced question for for some of

0:30:40.040 --> 0:30:42.240
<v Speaker 1>those companies as you when you start out, you know,

0:30:42.720 --> 0:30:47.800
<v Speaker 1>trillion dollars of capitalization. So what excites me is that

0:30:48.000 --> 0:30:52.720
<v Speaker 1>you see some of them, the technologies that have driven

0:30:53.280 --> 0:30:56.760
<v Speaker 1>this transformation in retail, this transformation in media media over

0:30:56.800 --> 0:30:59.840
<v Speaker 1>the past twenty years, being applied to areas which have

0:31:00.080 --> 0:31:03.200
<v Speaker 1>us see nothing like that piece of change. And I

0:31:03.280 --> 0:31:06.680
<v Speaker 1>think that creates a whole new raft of opportunities, you know,

0:31:07.720 --> 0:31:12.360
<v Speaker 1>in in areas from I know, from insurance to to

0:31:12.600 --> 0:31:18.920
<v Speaker 1>real estate to um the automotive industry and and you know,

0:31:19.240 --> 0:31:22.320
<v Speaker 1>I think sort of one of the things that's so

0:31:22.400 --> 0:31:26.200
<v Speaker 1>exciting for a growth investor at the current time is

0:31:26.400 --> 0:31:30.240
<v Speaker 1>just how we're seeing the broadening of the impact of

0:31:30.320 --> 0:31:35.600
<v Speaker 1>More's law of ubiquitous mobile communications of advanced software across

0:31:35.720 --> 0:31:39.880
<v Speaker 1>huge suites of the economy. M So let's stick with

0:31:40.040 --> 0:31:44.640
<v Speaker 1>the concept of a WS and some of their competitors. Obviously,

0:31:45.480 --> 0:31:49.080
<v Speaker 1>Microsoft is a key competitor. A recent I p O

0:31:49.320 --> 0:31:53.000
<v Speaker 1>Snowflake is a company that won public and they seem

0:31:53.080 --> 0:31:56.479
<v Speaker 1>to be in a similar space and they quickly scaled

0:31:56.600 --> 0:31:59.600
<v Speaker 1>up to like a hundred billion dollar market gap. How

0:31:59.640 --> 0:32:03.640
<v Speaker 1>do you look at motes that these various companies create.

0:32:04.400 --> 0:32:09.000
<v Speaker 1>Is Amazon now just a behemoth that can never be

0:32:10.080 --> 0:32:14.760
<v Speaker 1>taken down? Or will anyone ever managed to penetrate the

0:32:14.920 --> 0:32:18.720
<v Speaker 1>motes that they've built? I mean, I think ever is

0:32:18.760 --> 0:32:21.880
<v Speaker 1>a long time. But some of the things we do

0:32:22.040 --> 0:32:26.440
<v Speaker 1>know about about Amazon web services businesses. Firstly that the

0:32:26.480 --> 0:32:32.960
<v Speaker 1>addressable opportunity is very very large, trillion dollar plus market

0:32:33.120 --> 0:32:36.800
<v Speaker 1>for for I infrastructure. We know it has a very

0:32:36.880 --> 0:32:39.600
<v Speaker 1>strong first move of advantage that it's got to a

0:32:39.760 --> 0:32:43.920
<v Speaker 1>scale long before others. If you if you listen to

0:32:44.080 --> 0:32:47.440
<v Speaker 1>Jeff Bezos the Amazon CEO talk, you know he was

0:32:47.560 --> 0:32:50.480
<v Speaker 1>saying was he was amazed at the at the head

0:32:50.520 --> 0:32:53.640
<v Speaker 1>start he was able to get in this business. I think, um,

0:32:54.200 --> 0:32:59.280
<v Speaker 1>I think few people appreciated just just how fantastic the

0:32:59.320 --> 0:33:02.720
<v Speaker 1>economics that could be. And I think scale is a

0:33:02.800 --> 0:33:06.280
<v Speaker 1>self reinforcing advantage here. You know that it it allows

0:33:06.320 --> 0:33:09.360
<v Speaker 1>you to invest in infrastructure and better service and the

0:33:09.640 --> 0:33:12.560
<v Speaker 1>bigger data sets means better machine learning, which means better

0:33:12.640 --> 0:33:15.000
<v Speaker 1>outcomes for companies, which means you attract more companies. So

0:33:15.680 --> 0:33:17.960
<v Speaker 1>so I think it is it is in infrastructure, it's

0:33:17.960 --> 0:33:20.920
<v Speaker 1>in a very powerful position, you know. I think Microsoft

0:33:21.000 --> 0:33:24.080
<v Speaker 1>has has been has done very well at using its

0:33:24.160 --> 0:33:28.440
<v Speaker 1>distribution um into the enterprise space to to really get

0:33:28.520 --> 0:33:31.080
<v Speaker 1>itself back into the game. And I think, you know,

0:33:31.160 --> 0:33:34.200
<v Speaker 1>it remains to be to be seen how how Google

0:33:34.320 --> 0:33:38.120
<v Speaker 1>is offering under the leadership of Thomas Curion competes from here,

0:33:38.160 --> 0:33:43.040
<v Speaker 1>because it's obviously a company with phenomenal technological pross. But

0:33:43.480 --> 0:33:48.360
<v Speaker 1>this shift in enterprise from on premise to the cloud

0:33:48.880 --> 0:33:50.960
<v Speaker 1>is one which I think plays out over the next

0:33:51.440 --> 0:33:55.360
<v Speaker 1>ten or twenty years and is of enormously large size.

0:33:55.400 --> 0:33:59.000
<v Speaker 1>So I think they know the capitalizations that you mentioned

0:33:59.040 --> 0:34:01.760
<v Speaker 1>sort of attached to things such as Snowflake reflect the

0:34:01.840 --> 0:34:04.680
<v Speaker 1>fact that investors are starting to incorporate that just just

0:34:04.840 --> 0:34:07.920
<v Speaker 1>a longevity of the shift into their thinking. So we're

0:34:07.960 --> 0:34:13.600
<v Speaker 1>talking about some pretty gigantic industries and companies, But when

0:34:13.680 --> 0:34:18.080
<v Speaker 1>we think about growth going forward, all these companies today,

0:34:18.760 --> 0:34:23.040
<v Speaker 1>they didn't many of them anyway, didn't really exist five, ten, fifteen,

0:34:23.120 --> 0:34:26.160
<v Speaker 1>twenty years ago. So that leads me to the question,

0:34:26.800 --> 0:34:31.280
<v Speaker 1>where are the big opportunities out there that aren't already

0:34:31.360 --> 0:34:37.480
<v Speaker 1>dominated by these behemoth firms. Yeah. I think one of

0:34:37.600 --> 0:34:41.080
<v Speaker 1>the interesting dynamics that we're seeing in the market today

0:34:42.040 --> 0:34:48.280
<v Speaker 1>is around the companies that are providing scale as a service.

0:34:49.160 --> 0:34:52.400
<v Speaker 1>And what I mean by that is that the biggest

0:34:52.640 --> 0:34:57.520
<v Speaker 1>online players have had phenomenal resources at the disposal, which

0:34:57.560 --> 0:35:00.440
<v Speaker 1>has been very hard to compute. But if you look

0:35:00.440 --> 0:35:05.279
<v Speaker 1>at something like a Shopify, what that company has all

0:35:05.880 --> 0:35:10.200
<v Speaker 1>as created is a platform for merchants to compete on

0:35:10.239 --> 0:35:12.440
<v Speaker 1>a more equal footing with the likes of Amazon and

0:35:12.600 --> 0:35:17.240
<v Speaker 1>or Mart, by providing them with the tools to create

0:35:17.320 --> 0:35:20.560
<v Speaker 1>their online store, the same sort of browsing experience for

0:35:20.640 --> 0:35:23.880
<v Speaker 1>their customers, the access to a payments gateway, increasing the

0:35:23.960 --> 0:35:28.080
<v Speaker 1>access to two day fulfillment. And so they've created that

0:35:28.200 --> 0:35:31.800
<v Speaker 1>scale themselves, and then as they've got as as they've

0:35:32.640 --> 0:35:34.680
<v Speaker 1>as they've attracted more and more merchants, they can then

0:35:34.760 --> 0:35:37.439
<v Speaker 1>negotiate better and better terms with their suppliers and pass

0:35:37.520 --> 0:35:40.239
<v Speaker 1>that on to the smaller merchants. So they're they're really

0:35:40.560 --> 0:35:44.800
<v Speaker 1>selling scales to those underlying customers. Now Shopify doing that

0:35:44.880 --> 0:35:47.200
<v Speaker 1>in the retail area. But if you take a company

0:35:47.280 --> 0:35:52.440
<v Speaker 1>like Strip in payments, you know they're navigating the payments infrastructure.

0:35:53.280 --> 0:35:58.040
<v Speaker 1>Is it is a phenomenally challenging thing because there's different regulations,

0:35:58.120 --> 0:36:00.640
<v Speaker 1>there's different banks in every geography that you go to,

0:36:00.800 --> 0:36:04.920
<v Speaker 1>different business practices. You almost impossible for small businesses to

0:36:05.040 --> 0:36:09.120
<v Speaker 1>incorporate payments on a global scale into what they're doing. Um.

0:36:09.560 --> 0:36:13.800
<v Speaker 1>But but what Strype has done is navigate that incredibly

0:36:13.840 --> 0:36:18.360
<v Speaker 1>complex world and then make it extremely simple for for

0:36:18.480 --> 0:36:22.479
<v Speaker 1>individual companies to then incorporate that capability into their app,

0:36:22.560 --> 0:36:26.759
<v Speaker 1>into into their their website. And you know, I could

0:36:26.800 --> 0:36:29.120
<v Speaker 1>go on with this. You know, companies like Trilio doing

0:36:29.200 --> 0:36:32.680
<v Speaker 1>exactly the same thing in communications and providing a gateway

0:36:32.760 --> 0:36:37.319
<v Speaker 1>into this these incredibly complex communication networks. So I think

0:36:37.320 --> 0:36:41.839
<v Speaker 1>there's one really interesting angle is around those this set

0:36:41.920 --> 0:36:45.279
<v Speaker 1>of companies selling selling scale as a service into into

0:36:45.400 --> 0:36:48.920
<v Speaker 1>small emergence. I think the other angle I would go

0:36:49.000 --> 0:36:54.360
<v Speaker 1>at it from would be about about those companies that

0:36:54.960 --> 0:36:57.640
<v Speaker 1>can harness this this new world that we live in,

0:36:57.760 --> 0:37:02.160
<v Speaker 1>this this technology lead world to to to use new

0:37:02.239 --> 0:37:07.440
<v Speaker 1>business models in in in established industries. UM. So you know,

0:37:08.360 --> 0:37:11.080
<v Speaker 1>insurance is an interesting one. You know, we invest in

0:37:11.239 --> 0:37:14.360
<v Speaker 1>Lemonade the iPod recently. UM. You know, I think, what

0:37:14.719 --> 0:37:19.440
<v Speaker 1>what what they've done in creating a completely digital experience

0:37:19.560 --> 0:37:23.280
<v Speaker 1>for their for their customers, UM in terms of accessing

0:37:23.280 --> 0:37:26.719
<v Speaker 1>their insurance products, in terms of making claims UM just

0:37:27.040 --> 0:37:31.360
<v Speaker 1>is is really challenging for business models that are based

0:37:31.440 --> 0:37:36.960
<v Speaker 1>on mainframe computing and expensive expensive distribution. UM. That I

0:37:37.000 --> 0:37:39.120
<v Speaker 1>could go on in redfin in real estate as as

0:37:39.160 --> 0:37:41.960
<v Speaker 1>another example of that. You know, if you if you

0:37:42.080 --> 0:37:44.960
<v Speaker 1>can create, if you if you can tap into a

0:37:45.040 --> 0:37:48.759
<v Speaker 1>direct relationship with the consumers through your website, if you

0:37:48.880 --> 0:37:51.440
<v Speaker 1>can have an agent directly employed agent force, but give

0:37:51.520 --> 0:37:54.200
<v Speaker 1>them all the the digital tools to make them more

0:37:54.200 --> 0:37:56.680
<v Speaker 1>effective in their jobs, then I think that gives you

0:37:56.719 --> 0:38:01.239
<v Speaker 1>a big competitive advantage over over traditional income bunch. Quite

0:38:01.320 --> 0:38:05.800
<v Speaker 1>quite interesting. So I have to ask about the impact

0:38:05.920 --> 0:38:11.040
<v Speaker 1>of the COVID nineteen pandemic. How has that affected your

0:38:11.239 --> 0:38:14.040
<v Speaker 1>thought process about the companies you want to have in

0:38:14.120 --> 0:38:17.760
<v Speaker 1>your portfolio? How much of what you own has really

0:38:18.440 --> 0:38:21.399
<v Speaker 1>been in the right space to deal with a work

0:38:21.520 --> 0:38:27.040
<v Speaker 1>from home shelter in place pandemic. And what happens to

0:38:27.120 --> 0:38:32.360
<v Speaker 1>those companies sometime next year once we see widespread distribution

0:38:32.480 --> 0:38:36.400
<v Speaker 1>of the various vaccines that have been developed. Yeah, this

0:38:36.600 --> 0:38:40.880
<v Speaker 1>is a really interesting area. And UM I think for

0:38:41.080 --> 0:38:44.120
<v Speaker 1>sure a lot of the companies that we own have

0:38:44.400 --> 0:38:49.640
<v Speaker 1>been beneficiaries of the circumstances we find ourselves. And we

0:38:49.800 --> 0:38:54.200
<v Speaker 1>own Zoom, the video communications platform, which we we bought

0:38:54.239 --> 0:38:57.319
<v Speaker 1>in early two thousand and nineteen. But if you stick

0:38:57.360 --> 0:38:59.120
<v Speaker 1>with that one for a for a moment and maybe

0:38:59.160 --> 0:39:02.520
<v Speaker 1>explore from the shoes, you know, the the the insight

0:39:02.600 --> 0:39:05.040
<v Speaker 1>that we had when we we we participated in the

0:39:05.120 --> 0:39:10.279
<v Speaker 1>I p O of Zoom was that video communications in

0:39:10.360 --> 0:39:16.799
<v Speaker 1>the enterprise UM was massively under penetrated. You know, if

0:39:16.840 --> 0:39:19.279
<v Speaker 1>we were having this conversation, you know, a couple of

0:39:19.360 --> 0:39:22.879
<v Speaker 1>years ago via video conference. Sorry, what what I think

0:39:22.960 --> 0:39:25.120
<v Speaker 1>we would have done is that that your I T

0:39:25.280 --> 0:39:27.160
<v Speaker 1>team and my I T team would have arranged a

0:39:27.200 --> 0:39:29.920
<v Speaker 1>meeting they have. They'd have gone into a know, a

0:39:30.040 --> 0:39:32.600
<v Speaker 1>room that's somewhere in our offices that's only used for

0:39:32.680 --> 0:39:35.359
<v Speaker 1>video conferencing and and spent about half an hour trying

0:39:35.400 --> 0:39:37.719
<v Speaker 1>to set up the call and then being on hand

0:39:37.760 --> 0:39:39.600
<v Speaker 1>when we actually tried to do it in person the

0:39:39.680 --> 0:39:44.839
<v Speaker 1>next day. UM. But so so, the constraints on much

0:39:44.880 --> 0:39:46.840
<v Speaker 1>broader use of video conferencing was that it was a

0:39:46.920 --> 0:39:52.239
<v Speaker 1>dreadful product. And as you created a much more engaging

0:39:52.400 --> 0:39:54.800
<v Speaker 1>user experience, as you as you made it possible for

0:39:54.880 --> 0:39:58.239
<v Speaker 1>people to just do video conferencing, you know that that

0:39:58.560 --> 0:40:01.880
<v Speaker 1>you would see an explosion in the scale of the

0:40:01.960 --> 0:40:05.640
<v Speaker 1>market and also a viral selling dynamics that if if

0:40:05.760 --> 0:40:07.360
<v Speaker 1>if I phoned you via zoom and you had a

0:40:07.400 --> 0:40:09.440
<v Speaker 1>good experience, you would say, what's this product? I'm going

0:40:09.520 --> 0:40:12.400
<v Speaker 1>to use it? And I think you know that that

0:40:12.640 --> 0:40:15.880
<v Speaker 1>was that that dynamic was unfolding through two susand nineteen.

0:40:16.239 --> 0:40:20.160
<v Speaker 1>But but in with the impact of the virus, usage

0:40:20.200 --> 0:40:23.960
<v Speaker 1>has has exploded. UM. And I think now they talked

0:40:23.960 --> 0:40:27.400
<v Speaker 1>about maybe three million users of this service. UM. I

0:40:27.440 --> 0:40:29.359
<v Speaker 1>think the last number I saw was that they had

0:40:29.840 --> 0:40:35.359
<v Speaker 1>eleven million paying customers. So what what happens going forward? Well,

0:40:35.560 --> 0:40:37.520
<v Speaker 1>you know, if if the vaccines are as effective as

0:40:37.560 --> 0:40:40.080
<v Speaker 1>we hope, then then I think we'll all be having

0:40:40.120 --> 0:40:43.040
<v Speaker 1>a lot more in person meetings. Um, you know, because

0:40:43.120 --> 0:40:45.560
<v Speaker 1>everybody is set up of being cooped up at home,

0:40:45.719 --> 0:40:48.000
<v Speaker 1>you know, they want to get out. So so the

0:40:48.440 --> 0:40:51.800
<v Speaker 1>unprecedented level of demand that we have today, of course

0:40:51.880 --> 0:40:56.320
<v Speaker 1>the clients. But then the question is, you know, everybody

0:40:56.400 --> 0:40:58.440
<v Speaker 1>knows what zoom is. And I'm not talking about you know,

0:40:58.560 --> 0:41:01.640
<v Speaker 1>people in the in the I. T. Departments of the enterprises.

0:41:02.000 --> 0:41:05.200
<v Speaker 1>You know, it's it's it's become a verb. Um. You know,

0:41:05.920 --> 0:41:10.480
<v Speaker 1>millions of sales people and marketing people and people in

0:41:10.640 --> 0:41:14.840
<v Speaker 1>education understand this product now. And so of the billion

0:41:14.920 --> 0:41:17.960
<v Speaker 1>knowledge workers that are on the planet, how how much

0:41:18.040 --> 0:41:20.040
<v Speaker 1>of that is addressable for this company that starts with

0:41:20.120 --> 0:41:23.200
<v Speaker 1>eleven million licenses? And I think those are the really

0:41:23.320 --> 0:41:26.640
<v Speaker 1>challenging questions. You know, it's not will demand decline, of course,

0:41:26.880 --> 0:41:28.920
<v Speaker 1>of course it will decline as as as we come

0:41:28.920 --> 0:41:31.840
<v Speaker 1>out of blockdown. And I think if you, you know,

0:41:32.000 --> 0:41:35.800
<v Speaker 1>you expand that more broadly. One of the frameworks that

0:41:35.960 --> 0:41:39.000
<v Speaker 1>I've I've found really helpful and it's worked on with

0:41:39.160 --> 0:41:41.960
<v Speaker 1>by by one of my colleagues, Dave Putschnowski is a

0:41:42.480 --> 0:41:49.759
<v Speaker 1>fascinating analyst, but he's drawing on an idea of accumulated accidents.

0:41:50.400 --> 0:41:55.400
<v Speaker 1>So this idea that what were the structures UM that

0:41:55.520 --> 0:41:59.480
<v Speaker 1>were the norm before COVID hit. There weren't the sort

0:41:59.520 --> 0:42:02.000
<v Speaker 1>of local maximum or the perfect way that something should

0:42:02.000 --> 0:42:06.120
<v Speaker 1>be done, but instead just the product of accumulated accidents

0:42:06.239 --> 0:42:08.840
<v Speaker 1>over time. Because I think those are the things that

0:42:08.920 --> 0:42:13.799
<v Speaker 1>are UM were unlikely to go back to UM as

0:42:13.960 --> 0:42:17.880
<v Speaker 1>as COVID starts to unwind UM. And and you know,

0:42:18.760 --> 0:42:22.120
<v Speaker 1>let me talk about as an example. You know, in advertising,

0:42:22.600 --> 0:42:25.920
<v Speaker 1>you know, a great deal of television advertising is sold

0:42:26.000 --> 0:42:31.560
<v Speaker 1>at the upfronts in New York each each spring, and

0:42:31.880 --> 0:42:35.399
<v Speaker 1>and and it's where the advertisers will go and bet

0:42:35.520 --> 0:42:40.320
<v Speaker 1>on the content slate of of of the broadcasters and

0:42:40.760 --> 0:42:43.840
<v Speaker 1>and and spend sense significant chunks of their marketing budget

0:42:43.880 --> 0:42:46.840
<v Speaker 1>for the year. Now, in a world where you know,

0:42:46.960 --> 0:42:51.280
<v Speaker 1>we have connected television a huge amount of data about

0:42:52.040 --> 0:42:56.480
<v Speaker 1>about the audience that content has been broadcast too, particularly

0:42:56.680 --> 0:43:01.360
<v Speaker 1>connected television platform site rock, who does a ceremony like

0:43:01.560 --> 0:43:04.680
<v Speaker 1>like that persist or do you do the much more

0:43:04.760 --> 0:43:09.320
<v Speaker 1>effective data driven advertising products of the of the digital

0:43:09.400 --> 0:43:13.760
<v Speaker 1>age now start to make significant inroads into into that market.

0:43:14.239 --> 0:43:16.720
<v Speaker 1>And so I think it's that's that's a really helpful

0:43:16.760 --> 0:43:19.520
<v Speaker 1>framework to us and trying to think about and what

0:43:19.680 --> 0:43:22.359
<v Speaker 1>the what the post COVID world looks like. So let's

0:43:22.400 --> 0:43:26.080
<v Speaker 1>stick with that theme of data analytics and how much

0:43:26.120 --> 0:43:32.239
<v Speaker 1>more information both clients and investors get. You know, we

0:43:32.360 --> 0:43:35.640
<v Speaker 1>mentioned earlier you graduated from Edinburgh with a degree in

0:43:36.360 --> 0:43:41.239
<v Speaker 1>computer science with mathematics. How much quant do you use

0:43:41.520 --> 0:43:45.840
<v Speaker 1>in your investing process? Or or s differently, how important

0:43:45.960 --> 0:43:48.680
<v Speaker 1>are all the metrics that are available today to be

0:43:48.800 --> 0:43:53.960
<v Speaker 1>crunched versus twenty years ago to your process? And answer

0:43:54.040 --> 0:43:56.759
<v Speaker 1>that in two ways if I may, I think the

0:43:57.000 --> 0:44:05.120
<v Speaker 1>fist is that our process is very qualitative. Um what

0:44:05.600 --> 0:44:08.520
<v Speaker 1>what we're trying to think about? What are the big drivers?

0:44:08.640 --> 0:44:10.680
<v Speaker 1>You know, where could the revenues of this company be

0:44:10.920 --> 0:44:14.480
<v Speaker 1>five or ten years from now? Um? What? What? What

0:44:14.640 --> 0:44:18.360
<v Speaker 1>are the competitive advantages? You know? Which is really getting

0:44:18.400 --> 0:44:23.440
<v Speaker 1>into questions about about profitability and margins? Um? But but

0:44:23.600 --> 0:44:26.479
<v Speaker 1>what is the corporate culture? What is it about makes

0:44:26.680 --> 0:44:30.920
<v Speaker 1>that makes this business special? Why can't somebody else did?

0:44:31.440 --> 0:44:32.799
<v Speaker 1>And we think if we can answer some of those

0:44:32.840 --> 0:44:36.560
<v Speaker 1>more qualitative questions, I think it gets you. It gets

0:44:36.640 --> 0:44:39.719
<v Speaker 1>you to to to broadly correct answers. You know, the

0:44:40.000 --> 0:44:43.000
<v Speaker 1>left of the decimal point if you will and and

0:44:43.360 --> 0:44:45.880
<v Speaker 1>I see much more value in that for us than

0:44:46.560 --> 0:44:50.080
<v Speaker 1>then this what we see in in markets, which is

0:44:50.200 --> 0:44:54.359
<v Speaker 1>this this constant attempt to predict what a company will

0:44:54.400 --> 0:44:58.960
<v Speaker 1>learn this quarter or next quarter more accurately than everybody else. Um,

0:44:59.239 --> 0:45:01.279
<v Speaker 1>which is a game. Think firstly that we have no

0:45:01.400 --> 0:45:05.160
<v Speaker 1>advantage in and it's so important for an investor to

0:45:05.239 --> 0:45:08.000
<v Speaker 1>be able to articulate what they think their own advantages.

0:45:08.239 --> 0:45:10.680
<v Speaker 1>We spend so much time asking it of companies, but

0:45:10.760 --> 0:45:14.080
<v Speaker 1>so little time asking it of ourselves. But we have

0:45:14.239 --> 0:45:18.239
<v Speaker 1>no advantage in that that more precise estimation of of

0:45:18.360 --> 0:45:21.880
<v Speaker 1>short term learning than anybody else. But what we do have,

0:45:22.280 --> 0:45:24.600
<v Speaker 1>you know, being in Edinburgh having a bit of a

0:45:24.840 --> 0:45:28.279
<v Speaker 1>distance and perspective on what's happening in financial markets, is

0:45:28.320 --> 0:45:31.040
<v Speaker 1>maybe that ability to be patient in the in this

0:45:31.239 --> 0:45:35.320
<v Speaker 1>most impatient of industries, and we think that's more likely

0:45:35.400 --> 0:45:40.080
<v Speaker 1>to to add value for our clients over time. UM.

0:45:41.800 --> 0:45:44.600
<v Speaker 1>Another take on it would be, UM that if I

0:45:45.840 --> 0:45:49.919
<v Speaker 1>as observing what's been happening in our companies over over

0:45:50.000 --> 0:45:54.560
<v Speaker 1>the past five years, maybe a little longer, is just

0:45:54.719 --> 0:45:59.759
<v Speaker 1>seeing the impact of machine learning and artificial intelligence and

0:46:00.160 --> 0:46:03.719
<v Speaker 1>what this these technologies are capable of and it's that

0:46:03.880 --> 0:46:08.840
<v Speaker 1>ability to ingest huge amounts of quantitative data and spot

0:46:08.960 --> 0:46:11.040
<v Speaker 1>patterns in a in a way that a human just

0:46:11.160 --> 0:46:16.080
<v Speaker 1>isn't capable of. UM. And so we've we've we've been

0:46:16.160 --> 0:46:19.960
<v Speaker 1>having an experiment within beating iff it, looking at you know,

0:46:20.360 --> 0:46:23.959
<v Speaker 1>could we apply these same technologies to recreate the human

0:46:24.000 --> 0:46:29.440
<v Speaker 1>investors that we have UM and so so are systematic

0:46:29.520 --> 0:46:33.120
<v Speaker 1>investment strategy which we wear. We started incubating in the

0:46:33.160 --> 0:46:37.359
<v Speaker 1>past couple of months. UM we're after after after three

0:46:37.440 --> 0:46:40.800
<v Speaker 1>years of investment in the team and the technology and

0:46:40.840 --> 0:46:44.920
<v Speaker 1>the algorithms, is our own experiment to try and disrupt

0:46:45.000 --> 0:46:48.720
<v Speaker 1>ourselves in going about the task of investment. Quite interesting.

0:46:49.280 --> 0:46:51.680
<v Speaker 1>I have to ask you a question about a little

0:46:51.680 --> 0:46:56.440
<v Speaker 1>bit about some of your background relative to being a

0:46:56.640 --> 0:47:00.600
<v Speaker 1>US and a global investor. You worked on a Developed

0:47:00.680 --> 0:47:02.920
<v Speaker 1>Asia team at Daily Gifford, and you also worked on

0:47:03.080 --> 0:47:07.560
<v Speaker 1>the UK equity teams. What was the takeaway from that

0:47:07.719 --> 0:47:13.160
<v Speaker 1>experience when you're either looking at US investing or global

0:47:13.280 --> 0:47:17.920
<v Speaker 1>investing and how different UM is investing in those areas

0:47:18.080 --> 0:47:23.080
<v Speaker 1>versus let's say the US. I think for most of

0:47:23.840 --> 0:47:30.080
<v Speaker 1>of my career, UM, the the emergence of China as

0:47:30.320 --> 0:47:35.560
<v Speaker 1>a global economic superpower has has been an absolutely central

0:47:35.640 --> 0:47:40.480
<v Speaker 1>phenomenon in the world of investing, and not only it's

0:47:40.640 --> 0:47:45.279
<v Speaker 1>it's economic rise, but the emergence of companies on on

0:47:45.440 --> 0:47:50.080
<v Speaker 1>the East coast of China with with the innovative capacity

0:47:50.160 --> 0:47:52.920
<v Speaker 1>and entrepreneurship to match some of those that you have

0:47:53.080 --> 0:47:57.759
<v Speaker 1>on the west coast of the US. UM. And so

0:47:57.960 --> 0:48:02.080
<v Speaker 1>I suppose UM, the one of the things I take

0:48:02.360 --> 0:48:06.520
<v Speaker 1>take away from from my experiences is is just an

0:48:06.800 --> 0:48:11.759
<v Speaker 1>appreciation of that phenomenon, UM helped by some of my

0:48:11.880 --> 0:48:15.799
<v Speaker 1>Chinese colleagues, Helped by the fact that and we've now

0:48:15.920 --> 0:48:21.040
<v Speaker 1>opened an investment office in Shanghai, UM where one of

0:48:21.120 --> 0:48:24.000
<v Speaker 1>one of my partners has moved out from from Edinburgh.

0:48:24.600 --> 0:48:26.680
<v Speaker 1>UM that some of some of my Chinese colleagues have

0:48:26.760 --> 0:48:29.520
<v Speaker 1>moved back to China as part of that effort. And

0:48:29.800 --> 0:48:34.640
<v Speaker 1>and a really important part of understanding what's going on

0:48:34.719 --> 0:48:38.480
<v Speaker 1>in the world is understanding some of those developments. UM.

0:48:39.560 --> 0:48:43.000
<v Speaker 1>I think and looking at the US with an international

0:48:43.120 --> 0:48:49.400
<v Speaker 1>perspective can can yield insights that others aren't looking for. UM.

0:48:49.920 --> 0:48:54.920
<v Speaker 1>So you know, I and I link it to to

0:48:55.120 --> 0:48:58.480
<v Speaker 1>Netflix because I think there's there's there's a few few

0:48:58.800 --> 0:49:01.200
<v Speaker 1>few points in there that are irrelevant to our process.

0:49:02.040 --> 0:49:05.799
<v Speaker 1>And what we're trying to do is look for big

0:49:05.840 --> 0:49:08.160
<v Speaker 1>winners on the sort of time horizon that we have.

0:49:08.360 --> 0:49:14.239
<v Speaker 1>So ten years UM you see this this um um

0:49:15.520 --> 0:49:18.160
<v Speaker 1>power or distribution in stock market returns, you see a

0:49:18.239 --> 0:49:21.520
<v Speaker 1>very small number of big winners. And so you know,

0:49:21.600 --> 0:49:24.000
<v Speaker 1>what we're trying to do is identify companies with that

0:49:24.080 --> 0:49:26.359
<v Speaker 1>sort of potential and then where we find them, aim

0:49:26.440 --> 0:49:29.640
<v Speaker 1>to be very patient and long term owners, accepting that

0:49:29.760 --> 0:49:32.279
<v Speaker 1>at times we will look very out of favor with

0:49:32.360 --> 0:49:37.040
<v Speaker 1>the market UM. And one consequence of that approach is

0:49:37.440 --> 0:49:41.640
<v Speaker 1>that actually the biggest mistakes that you make are UM,

0:49:42.239 --> 0:49:45.359
<v Speaker 1>not stocks that you own which go down, which are inevitable.

0:49:45.520 --> 0:49:48.600
<v Speaker 1>You know and make lots of mistakes UM, but it's

0:49:48.760 --> 0:49:51.640
<v Speaker 1>it's the ones that you you you look at, your

0:49:51.680 --> 0:49:54.560
<v Speaker 1>do the analysts on and you don't buy UM that

0:49:54.719 --> 0:49:57.279
<v Speaker 1>then turned out to be big winners. And I put

0:49:57.360 --> 0:50:01.279
<v Speaker 1>Netflix into that category for us UM. We were looking

0:50:01.320 --> 0:50:03.520
<v Speaker 1>at it back in I think it was two thousand

0:50:03.560 --> 0:50:07.360
<v Speaker 1>and twelve, around about the time they split. They they

0:50:07.360 --> 0:50:10.880
<v Speaker 1>announced the plan to split the streaming and the DVD

0:50:11.040 --> 0:50:15.800
<v Speaker 1>business UM and which which which was taken very badly

0:50:15.920 --> 0:50:20.280
<v Speaker 1>by both their customers and stock markets, and we we didn't.

0:50:20.800 --> 0:50:22.960
<v Speaker 1>We didn't take the plunge and buy the stock at

0:50:23.000 --> 0:50:25.920
<v Speaker 1>that point, which is which I see is as as

0:50:25.960 --> 0:50:28.960
<v Speaker 1>one of my biggest mistakes over the past ten years. UM.

0:50:29.360 --> 0:50:32.359
<v Speaker 1>But then so look looking at the stock maybe three

0:50:32.440 --> 0:50:35.920
<v Speaker 1>years later, UM, and it was up a lot at

0:50:35.960 --> 0:50:39.160
<v Speaker 1>that point, and of course it's it's very difficult to

0:50:39.440 --> 0:50:42.120
<v Speaker 1>to buy a stock that's that's gone up several folds

0:50:42.120 --> 0:50:45.520
<v Speaker 1>since you last looked at it. But but what stands

0:50:45.560 --> 0:50:47.680
<v Speaker 1>out for me and what allowed us to make that

0:50:47.800 --> 0:50:52.160
<v Speaker 1>purchase despite the stock price having increased, UM, was looking

0:50:52.320 --> 0:50:55.960
<v Speaker 1>at the progress of the international business. UM. You know,

0:50:56.040 --> 0:50:59.680
<v Speaker 1>the the US investor base in Netflix at that time

0:51:00.320 --> 0:51:04.960
<v Speaker 1>was almost singularly focused on the U S subscriber editions

0:51:05.040 --> 0:51:09.120
<v Speaker 1>and any single quarter and because the international business wasn't

0:51:09.200 --> 0:51:11.359
<v Speaker 1>wasn't making much money at that time. And I think

0:51:11.440 --> 0:51:14.200
<v Speaker 1>our insight was that, you know, it had seemed for

0:51:14.200 --> 0:51:16.480
<v Speaker 1>a long time that that Netflix wouldn't get away with

0:51:16.560 --> 0:51:18.320
<v Speaker 1>what it had managed to achieve in the US in

0:51:18.400 --> 0:51:21.280
<v Speaker 1>other markets because the incumbents would see what had happened

0:51:21.280 --> 0:51:23.880
<v Speaker 1>and they wouldn't let wouldn't let it happen. And our

0:51:23.960 --> 0:51:26.719
<v Speaker 1>insight was that there's you know, they might to turn

0:51:26.800 --> 0:51:29.480
<v Speaker 1>on all these markets in one sweep, and that the

0:51:29.880 --> 0:51:33.120
<v Speaker 1>traction that they were getting would ultimately lead to an

0:51:33.200 --> 0:51:37.040
<v Speaker 1>extremely profitable business. And so it was that that x

0:51:37.160 --> 0:51:39.279
<v Speaker 1>US piece, when everybody else was focused on the U

0:51:39.360 --> 0:51:41.720
<v Speaker 1>S subscriber base, that that I think was our insights

0:51:41.719 --> 0:51:45.120
<v Speaker 1>at that point. So let me raise an interesting question

0:51:45.200 --> 0:51:49.320
<v Speaker 1>about this. You mentioned a number of different companies, a

0:51:49.400 --> 0:51:53.720
<v Speaker 1>number of different stocks. How did they fit into managing

0:51:53.760 --> 0:51:57.880
<v Speaker 1>a portfolio? It's obviously the analysis of a single stock

0:51:58.040 --> 0:52:02.440
<v Speaker 1>or any stock is so only very different than constructing

0:52:02.520 --> 0:52:06.240
<v Speaker 1>a portfolio. How do you think about weight portfolio weights?

0:52:06.239 --> 0:52:10.000
<v Speaker 1>How do you think about different positions? You run a

0:52:10.120 --> 0:52:13.960
<v Speaker 1>fairly concentrated portfolio, so there aren't a whole lot of

0:52:14.719 --> 0:52:20.800
<v Speaker 1>openings for any one given company. Yeah. The way that

0:52:21.600 --> 0:52:25.279
<v Speaker 1>I think about this is UM. It comes back to this,

0:52:25.800 --> 0:52:29.719
<v Speaker 1>this asymmetry of returns for the concentration of returns in

0:52:29.760 --> 0:52:33.080
<v Speaker 1>a small number of companies UM. So I was doing

0:52:33.280 --> 0:52:36.760
<v Speaker 1>some work on this back in two thousand and twelve,

0:52:36.880 --> 0:52:39.960
<v Speaker 1>two thousand and thirteen, and the starting point for me

0:52:40.080 --> 0:52:44.040
<v Speaker 1>was actually trying to think about UM about outcomes for

0:52:44.120 --> 0:52:47.239
<v Speaker 1>individual companies. UM you know, and how if you know,

0:52:47.280 --> 0:52:49.920
<v Speaker 1>if I was looking at Amazon and said I had

0:52:49.960 --> 0:52:52.080
<v Speaker 1>a hundred percent upside and somebody else is looking at

0:52:52.120 --> 0:52:55.399
<v Speaker 1>Alphabet and said it two upside, how could we think

0:52:55.440 --> 0:52:58.400
<v Speaker 1>about those different outcomes and how would you attach probabilities

0:52:58.440 --> 0:53:02.719
<v Speaker 1>to them? And the the the way I looked at

0:53:02.760 --> 0:53:06.520
<v Speaker 1>it was was actually inspired by purnaments, but looking thinking

0:53:06.520 --> 0:53:08.960
<v Speaker 1>about base rates. So so let's look at the past

0:53:09.040 --> 0:53:12.759
<v Speaker 1>thirty years of the SMP five what can you say

0:53:12.800 --> 0:53:15.840
<v Speaker 1>about stock ritins? And there was one rule which emerged

0:53:15.880 --> 0:53:18.360
<v Speaker 1>which is actually quite consistent of two time, which was

0:53:18.880 --> 0:53:22.759
<v Speaker 1>that in any five year period, about five percent of

0:53:22.840 --> 0:53:28.000
<v Speaker 1>stocks go up fivefold, at least fivefold. And and so

0:53:28.680 --> 0:53:31.800
<v Speaker 1>one of the things we we we focused on is

0:53:31.920 --> 0:53:34.279
<v Speaker 1>has this company got the potential to go up at

0:53:34.360 --> 0:53:36.640
<v Speaker 1>least fivefold? And why is it more likely for this

0:53:36.800 --> 0:53:40.680
<v Speaker 1>company than than a stock picks a random um. And

0:53:41.480 --> 0:53:44.080
<v Speaker 1>you know, the the implication of that for portfolios is

0:53:44.200 --> 0:53:48.000
<v Speaker 1>quite interesting because you know, what you're saying is that

0:53:48.239 --> 0:53:50.920
<v Speaker 1>if you have a buy a whole portfolio, you know

0:53:51.160 --> 0:53:53.800
<v Speaker 1>a huge proportion of the return is going to be

0:53:54.120 --> 0:53:59.520
<v Speaker 1>concentrated in the top two or three successful holdings. So

0:54:00.400 --> 0:54:02.320
<v Speaker 1>come back to come back to this point about what

0:54:02.560 --> 0:54:07.440
<v Speaker 1>is a mistake. People rightly focused on cell discipline and

0:54:07.760 --> 0:54:10.080
<v Speaker 1>you know what caused you to sell a stock. But

0:54:10.360 --> 0:54:14.040
<v Speaker 1>actually the biggest danger for a long term by an

0:54:14.080 --> 0:54:18.200
<v Speaker 1>old investor is that you sell a stock prematurely um

0:54:18.560 --> 0:54:21.680
<v Speaker 1>and that you don't capture that outsized impacts of that

0:54:22.080 --> 0:54:26.960
<v Speaker 1>that small number of companies. UM. There's a there's a

0:54:27.040 --> 0:54:31.480
<v Speaker 1>really interesting piece of work UM done by an academic

0:54:31.520 --> 0:54:37.160
<v Speaker 1>Arizona State University very recently, Professor Bessembender, and he looked

0:54:37.200 --> 0:54:42.120
<v Speaker 1>at ninety years of US stock market data and what

0:54:42.600 --> 0:54:46.480
<v Speaker 1>what that showed is of the twenty six thousand companies

0:54:46.600 --> 0:54:49.640
<v Speaker 1>that you could have invested in over that period, UM,

0:54:50.120 --> 0:54:54.280
<v Speaker 1>all of the return came from from just four percent

0:54:54.400 --> 0:54:57.200
<v Speaker 1>of the companies. But in fact it was even more

0:54:57.280 --> 0:55:01.080
<v Speaker 1>concentrated that than that. So there was about I think

0:55:01.160 --> 0:55:03.200
<v Speaker 1>I think his numbers where there was about thirty two

0:55:03.320 --> 0:55:06.720
<v Speaker 1>trillion dollars of excess value created by the US equity

0:55:06.760 --> 0:55:10.920
<v Speaker 1>market over that ninety year period, and of that half

0:55:11.000 --> 0:55:13.760
<v Speaker 1>of the excess value creation came from just ninety companies.

0:55:14.840 --> 0:55:19.000
<v Speaker 1>So so stock markets are driven by a really small

0:55:19.120 --> 0:55:23.120
<v Speaker 1>number of exceptional companies. And so what we mustn't do

0:55:23.239 --> 0:55:27.000
<v Speaker 1>as long term investors is truncate the impact of those

0:55:27.080 --> 0:55:30.480
<v Speaker 1>big winners. So so go back to to you know,

0:55:30.600 --> 0:55:34.640
<v Speaker 1>talking about it in UM. You know, through specific examples.

0:55:35.719 --> 0:55:39.880
<v Speaker 1>Since since buying Tesla in in seven years ago, I

0:55:40.360 --> 0:55:42.880
<v Speaker 1>don't know how many times I've been told to sell it.

0:55:43.280 --> 0:55:46.400
<v Speaker 1>You know, it's it's a hard seven or eight drawdowns

0:55:46.480 --> 0:55:50.440
<v Speaker 1>of at least thirty in that period um, you know,

0:55:50.680 --> 0:55:52.840
<v Speaker 1>and and every time it goes up, you know, the

0:55:53.440 --> 0:55:55.839
<v Speaker 1>people know when are you're going when when when you're

0:55:55.840 --> 0:56:00.239
<v Speaker 1>going to sell UM. It's it's actually not unusual to

0:56:00.400 --> 0:56:02.560
<v Speaker 1>see a big winner like tess or if you look

0:56:02.600 --> 0:56:04.440
<v Speaker 1>over that time frame, you know, that's been the case

0:56:04.520 --> 0:56:07.080
<v Speaker 1>of Amazon over the past fifteen years, That's been the

0:56:07.120 --> 0:56:09.720
<v Speaker 1>case for us with ten Cent, the Chinese gaming company

0:56:09.760 --> 0:56:12.360
<v Speaker 1>over the past twelve years. Maybe with not quite the

0:56:12.440 --> 0:56:16.640
<v Speaker 1>same attraction of headlines that that Tesla has had, but

0:56:17.400 --> 0:56:19.799
<v Speaker 1>the structure of returns is clear. It's that small number

0:56:19.800 --> 0:56:22.520
<v Speaker 1>of big winners. And so you know, we go to

0:56:22.719 --> 0:56:25.840
<v Speaker 1>directly answer your question about about the structure of the portfolio.

0:56:26.480 --> 0:56:29.560
<v Speaker 1>We where we still see a past a significant upside,

0:56:29.560 --> 0:56:32.960
<v Speaker 1>where we see an involving opportunity we're very loath to

0:56:33.480 --> 0:56:36.960
<v Speaker 1>um sell stocks that we think are capitalizing on the

0:56:37.000 --> 0:56:39.279
<v Speaker 1>opportunity in front of them, and we allow them to

0:56:39.320 --> 0:56:42.960
<v Speaker 1>become a big part of the portfolio. Quite fascinating. I

0:56:43.080 --> 0:56:45.520
<v Speaker 1>know I only have you for a limited amount of time,

0:56:45.680 --> 0:56:49.560
<v Speaker 1>So let's jump to our favorite questions that we ask

0:56:50.120 --> 0:56:52.879
<v Speaker 1>all of our guests. And since we were just talking

0:56:52.920 --> 0:56:56.799
<v Speaker 1>about Netflix and Amazon, let's start with that. Tell us

0:56:56.880 --> 0:56:59.160
<v Speaker 1>what you're streaming these days? What are you watching? What

0:56:59.239 --> 0:57:02.400
<v Speaker 1>are you listening to do while we're all stuck sheltering

0:57:02.440 --> 0:57:08.799
<v Speaker 1>at home. Yeah, so, I think like most people, I'm

0:57:09.200 --> 0:57:12.960
<v Speaker 1>I'm enjoying the fourth series of The Crown on Netflix

0:57:13.239 --> 0:57:17.920
<v Speaker 1>at the moment um, addressing a really interesting period in

0:57:18.160 --> 0:57:23.040
<v Speaker 1>in in the British monarchy. I've also been enjoying Ted

0:57:23.120 --> 0:57:28.760
<v Speaker 1>Lasso on Apple tv UM and just a great a

0:57:28.840 --> 0:57:32.760
<v Speaker 1>great commentary on the power of positive thinking. I think

0:57:32.800 --> 0:57:34.560
<v Speaker 1>there's there, you know. I think we're just in a

0:57:34.640 --> 0:57:37.840
<v Speaker 1>fortunate position that there's so much great content out there

0:57:37.840 --> 0:57:42.120
<v Speaker 1>at the moment. I think what the piece that I, um,

0:57:43.760 --> 0:57:45.680
<v Speaker 1>I'm really looking forward to that's been delayed by the

0:57:45.760 --> 0:57:50.520
<v Speaker 1>coronavirus is Dennis Fielder's adaptation of June which I think

0:57:50.560 --> 0:57:52.880
<v Speaker 1>is coming next year, but one of one of my

0:57:52.920 --> 0:57:56.000
<v Speaker 1>favorite science fiction books. And we were in Jordan a

0:57:56.040 --> 0:57:58.120
<v Speaker 1>couple of years ago and what we run where where

0:57:58.160 --> 0:57:59.720
<v Speaker 1>the film is set. So I think that that's going

0:57:59.760 --> 0:58:02.480
<v Speaker 1>to be an absoluties and spectac in a movie. Yeah,

0:58:02.520 --> 0:58:05.200
<v Speaker 1>I believe that's tied up for HBO max if I

0:58:05.480 --> 0:58:08.080
<v Speaker 1>if I recall what I what I heard about it

0:58:08.200 --> 0:58:11.600
<v Speaker 1>most recently, and I loved the first book, had a

0:58:11.640 --> 0:58:14.920
<v Speaker 1>hard time getting through some of the latter books, but

0:58:15.680 --> 0:58:21.120
<v Speaker 1>it has defied an outstanding film version. Hopefully this is

0:58:21.200 --> 0:58:25.240
<v Speaker 1>the one that will break that unlucky streak. So let's

0:58:25.280 --> 0:58:28.440
<v Speaker 1>talk about mentors. Who are some of the people who

0:58:28.520 --> 0:58:33.480
<v Speaker 1>helped shape your career? Well, you mentioned I started to

0:58:33.840 --> 0:58:39.920
<v Speaker 1>to fistival I like most of the the investment partners

0:58:39.920 --> 0:58:41.840
<v Speaker 1>at Batting, I said, I've I've spent my whole career

0:58:41.920 --> 0:58:46.400
<v Speaker 1>at the same UM and UM starting back in the

0:58:46.520 --> 0:58:51.960
<v Speaker 1>UK department with with imccombie and and Jared Callaghan, Charles Plowden,

0:58:52.080 --> 0:58:56.760
<v Speaker 1>who I think our UK team back at that point

0:58:57.000 --> 0:59:00.360
<v Speaker 1>was just a powerhouse in the UK equity market and

0:59:01.760 --> 0:59:05.800
<v Speaker 1>embraced the tools of free cash, fill yields, etcetera. That

0:59:05.920 --> 0:59:10.760
<v Speaker 1>was so effective through through the two thousand's and I

0:59:10.960 --> 0:59:13.000
<v Speaker 1>think I learned a lot about them the morality of

0:59:13.080 --> 0:59:19.040
<v Speaker 1>investing from the UM. I think I think UM becoming

0:59:19.080 --> 0:59:21.800
<v Speaker 1>a becoming the deputy manager and then co manager of

0:59:21.800 --> 0:59:24.880
<v Speaker 1>the Scottish Mortgage Investment Trust, and I'm working with with

0:59:25.080 --> 0:59:28.440
<v Speaker 1>James Anderson, who's who's been at Badger for for thirty

0:59:28.520 --> 0:59:33.200
<v Speaker 1>six years, UM and just just what I've learned from

0:59:33.320 --> 0:59:42.160
<v Speaker 1>him about UM both UM retaining just absolute curiosity and

0:59:42.320 --> 0:59:49.960
<v Speaker 1>focus on companies, UM focus on process and and differentiating

0:59:50.040 --> 0:59:55.560
<v Speaker 1>process and and and and having ambition in what we're

0:59:55.560 --> 0:59:59.560
<v Speaker 1>trying to do. Such an important mental for me. UM

1:00:00.440 --> 1:00:02.880
<v Speaker 1>as as as well as in fact Max Ward, who

1:00:03.000 --> 1:00:07.120
<v Speaker 1>was the manager of Scottish Mortgage before James and again

1:00:07.200 --> 1:00:13.000
<v Speaker 1>exemplified the power of positive thinking and an optimism which

1:00:13.000 --> 1:00:16.200
<v Speaker 1>I think is so crucial to to generating long run investment.

1:00:16.240 --> 1:00:20.840
<v Speaker 1>Retains quite interesting. Let's talk about everybody's favorite question. Tell

1:00:20.920 --> 1:00:23.720
<v Speaker 1>us about your favorite books. What do you like to recommend?

1:00:24.040 --> 1:00:26.880
<v Speaker 1>What are you reading right now? But I think when

1:00:26.920 --> 1:00:30.640
<v Speaker 1>it when it comes to investment, I believe some of

1:00:30.680 --> 1:00:34.960
<v Speaker 1>the best books about investing aren't aren't written about investment

1:00:35.000 --> 1:00:38.640
<v Speaker 1>at all. It's it's you know, getting to read about

1:00:38.720 --> 1:00:42.080
<v Speaker 1>people interacting with complex systems and lots of other settings.

1:00:43.120 --> 1:00:47.520
<v Speaker 1>Um so The Psychologry and the Psychology of Military and

1:00:47.600 --> 1:00:52.120
<v Speaker 1>Competence by Norman Dixon, or Deep Survival by Lawrence Gonzalez,

1:00:52.280 --> 1:00:55.640
<v Speaker 1>or or some of our old Granda's books on medicine. UM.

1:00:55.960 --> 1:00:59.600
<v Speaker 1>You know, I think there's there's lots of interesting tips

1:00:59.680 --> 1:01:05.360
<v Speaker 1>in there for for an interested investor. But it's just

1:01:05.480 --> 1:01:09.120
<v Speaker 1>one crucial point to remember, which is that in in

1:01:09.320 --> 1:01:14.320
<v Speaker 1>investment the upside is unbounded and the downside is constrained.

1:01:14.880 --> 1:01:17.360
<v Speaker 1>Whereas then I think all of these other settings, you know,

1:01:17.440 --> 1:01:21.280
<v Speaker 1>the downside is catastrophic. You know, you kill the patient,

1:01:21.560 --> 1:01:24.920
<v Speaker 1>you you die in a survival situation, you lose the war.

1:01:25.680 --> 1:01:27.920
<v Speaker 1>Um So, so long as you can make that mentally.

1:01:28.040 --> 1:01:31.160
<v Speaker 1>But I think that's some of the most interesting, um

1:01:32.400 --> 1:01:37.080
<v Speaker 1>um interesting literature on on an investment. In terms of

1:01:37.440 --> 1:01:42.160
<v Speaker 1>what I'm currently currently reading through UM just finished readas

1:01:42.200 --> 1:01:46.640
<v Speaker 1>Things book on on the culture of Netflix. Um some

1:01:46.800 --> 1:01:51.680
<v Speaker 1>fascinating observations in there. UM. I'm reading Linked at the moment,

1:01:52.320 --> 1:01:56.640
<v Speaker 1>which is about the impacts of complex networks and in

1:01:57.160 --> 1:02:00.440
<v Speaker 1>so many fields of endeavor, but all all of those

1:02:00.520 --> 1:02:03.480
<v Speaker 1>I listened to on audible when I'm when I'm outrunning.

1:02:03.600 --> 1:02:07.240
<v Speaker 1>That's become my reading time these days. Quite interesting. What

1:02:07.400 --> 1:02:10.320
<v Speaker 1>sort of advice would you give to a recent university

1:02:10.360 --> 1:02:14.040
<v Speaker 1>grad who was considering a career in either finance or

1:02:14.200 --> 1:02:19.520
<v Speaker 1>growth investing. I worry about graduates who are considering a

1:02:19.640 --> 1:02:24.800
<v Speaker 1>career in in finance or growth investing. I think being

1:02:24.880 --> 1:02:29.960
<v Speaker 1>interested in financial markets is not likely to be a

1:02:30.000 --> 1:02:32.080
<v Speaker 1>good indicator that that somebody is going to be a

1:02:32.120 --> 1:02:35.120
<v Speaker 1>good investor, right. I think a much better indicator is

1:02:35.200 --> 1:02:38.040
<v Speaker 1>whether they're interested in in companies, whether they have that

1:02:38.160 --> 1:02:44.440
<v Speaker 1>curiosity about business models, what makes the company work fascinating entrepreneurs.

1:02:45.200 --> 1:02:48.040
<v Speaker 1>I think all of the piece around interacting with financial

1:02:48.120 --> 1:02:50.439
<v Speaker 1>markets there's a sort of you know, there's a there's

1:02:50.480 --> 1:02:54.160
<v Speaker 1>a skills that you can teach somewhere, but but financial

1:02:54.240 --> 1:02:57.680
<v Speaker 1>markets are not interesting, intrinsically interesting in and of themselves.

1:02:58.080 --> 1:03:00.960
<v Speaker 1>What's much more interesting at the the lying companies and

1:03:01.040 --> 1:03:03.440
<v Speaker 1>if you can, if you can make good judgments about

1:03:03.520 --> 1:03:06.760
<v Speaker 1>those things. I think the finance piece looks after it's

1:03:06.960 --> 1:03:10.720
<v Speaker 1>after itself. When I used to I used to run

1:03:10.760 --> 1:03:14.200
<v Speaker 1>the run the graduate requiitment for investors at Bata Gifford,

1:03:14.240 --> 1:03:16.240
<v Speaker 1>and one of the things we tried very hard to

1:03:16.280 --> 1:03:22.120
<v Speaker 1>get away from was um business business studies or economics

1:03:22.160 --> 1:03:25.040
<v Speaker 1>graduates and try to get much more into the liberal

1:03:25.160 --> 1:03:27.880
<v Speaker 1>arts um where you know, I think you could get

1:03:27.960 --> 1:03:31.520
<v Speaker 1>people with curiosity, but that that went consumed with that,

1:03:31.720 --> 1:03:35.280
<v Speaker 1>that ambition to work in finance quite quite interesting. And

1:03:35.400 --> 1:03:38.360
<v Speaker 1>our final question, what do you know about the worlds

1:03:38.360 --> 1:03:41.920
<v Speaker 1>of growth investing today that you wish you knew twenty

1:03:42.040 --> 1:03:44.680
<v Speaker 1>or so years ago when you were first getting started.

1:03:45.280 --> 1:03:48.360
<v Speaker 1>I think it would be the extent to what the

1:03:48.480 --> 1:03:52.120
<v Speaker 1>what you do influences your fuse. You know, it's it's

1:03:52.480 --> 1:03:54.160
<v Speaker 1>you know, it's a it's the wrong way around to

1:03:54.280 --> 1:03:56.520
<v Speaker 1>think you can you can sit and then think about

1:03:56.600 --> 1:03:59.640
<v Speaker 1>things and then natural influence what you do. Instead, it's

1:04:00.000 --> 1:04:02.200
<v Speaker 1>you know, you've got to You've got to You don't

1:04:02.240 --> 1:04:04.400
<v Speaker 1>sit behind your desk and pontificate. You've got to get

1:04:04.400 --> 1:04:08.320
<v Speaker 1>out into the world. There are so many interesting sources

1:04:08.400 --> 1:04:12.240
<v Speaker 1>of information. You know. Some management is is it gets

1:04:12.320 --> 1:04:14.920
<v Speaker 1>most of its information from a very small number of people.

1:04:15.240 --> 1:04:18.160
<v Speaker 1>It's situated mainly in London and New York, but there's

1:04:18.200 --> 1:04:20.800
<v Speaker 1>a whole world out there. I've moved my family out

1:04:20.880 --> 1:04:24.480
<v Speaker 1>to Secon Valley on three different occasions, and don't extended

1:04:24.520 --> 1:04:27.439
<v Speaker 1>trips and the you know, the people that you meet,

1:04:27.600 --> 1:04:33.360
<v Speaker 1>the entrepreneurs, the investors, you know they they they can

1:04:33.640 --> 1:04:37.600
<v Speaker 1>shape the way you view the world. Um in a way.

1:04:37.680 --> 1:04:42.720
<v Speaker 1>That's that's that's extremely helpful. Um to to the job.

1:04:43.600 --> 1:04:47.760
<v Speaker 1>So get out and do things and meet people. Quite interesting.

1:04:48.400 --> 1:04:51.160
<v Speaker 1>We have been speaking with Tom Slater. He is the

1:04:51.200 --> 1:04:55.400
<v Speaker 1>head of US Equity Growth Investing at Bailey Gifford. If

1:04:55.480 --> 1:04:58.600
<v Speaker 1>you enjoyed this conversation, well be sure and check out

1:04:58.800 --> 1:05:03.680
<v Speaker 1>any of our prior nearly four hundred such discussions. You

1:05:03.800 --> 1:05:08.200
<v Speaker 1>can find them at iTunes, Spotify, wherever you get your

1:05:08.240 --> 1:05:12.800
<v Speaker 1>podcast fixed filled. We love your comments, feedback and suggestions.

1:05:13.200 --> 1:05:16.000
<v Speaker 1>Give us a review at Apple iTunes. Write to us

1:05:16.120 --> 1:05:20.120
<v Speaker 1>at m ib podcast at Bloomberg dot net. You can

1:05:20.280 --> 1:05:23.160
<v Speaker 1>check out my daily reads at Rid Haltz dot com.

1:05:23.920 --> 1:05:27.560
<v Speaker 1>Check out my weekly column on Bloomberg dot com slash Opinion.

1:05:28.000 --> 1:05:30.920
<v Speaker 1>Follow me on Twitter at Rid halts. I would be

1:05:31.080 --> 1:05:33.280
<v Speaker 1>remiss if I did not think of the crack team

1:05:33.360 --> 1:05:37.480
<v Speaker 1>that helps put together this conversation every week. Maroufle is

1:05:37.520 --> 1:05:42.560
<v Speaker 1>my audio engineer. Michael Boyle is my producer Altico Valdrun

1:05:42.800 --> 1:05:46.480
<v Speaker 1>is our project manager. Michael Batnick is my head of research.

1:05:47.280 --> 1:05:51.440
<v Speaker 1>I'm Barry Ridults. You've been listening to Master's Business on

1:05:51.600 --> 1:05:52.520
<v Speaker 1>Bloomberg Radio.