WEBVTT - The Active vs Passive Scorecard

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<v Speaker 1>Welcome to trillions. I'm Joel Webber and I'm Eric bel

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<v Speaker 1>Tunis back in the booth. It sounds for real, way

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<v Speaker 1>better than my closet. It's the reads, it's it's great.

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<v Speaker 1>I love it. It's elevated. Yeah, it's good to see you.

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<v Speaker 1>You too. You brought us somebody today who we're gonna

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<v Speaker 1>hear from. Yeah, I grabbed him off of the AM track.

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<v Speaker 1>I was like, you look only a good guest. We're desperate,

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<v Speaker 1>we're getting lazy these days. Um No, this is Tim Edwards,

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<v Speaker 1>who is an et F industry veteran. His SMP now

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<v Speaker 1>and what he's bringing to us and where we're talking

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<v Speaker 1>to him today is the SPEVA Report. For nerds know

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<v Speaker 1>exactly what I just said, but if you don't, it's

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<v Speaker 1>the SMP Index versus Active Report. It's a scorecard that

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<v Speaker 1>says how will our active managers doing versus their benchmarks.

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<v Speaker 1>This report has been out Tim make correct fifteen years

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<v Speaker 1>and has been pretty instrumental in sort of driving the

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<v Speaker 1>narrative and thus the flows towards passive because the numbers

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<v Speaker 1>are pretty bad. Okay, so we're gonna hear from Tim

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<v Speaker 1>Edwards of SMP this timeand trillions the SPIVA Report. Tim

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<v Speaker 1>wakan a trillions. Hi, thanks very much for having me. Okay,

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<v Speaker 1>Tim Spiver. For those not familiar, what is this going

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<v Speaker 1>to reveal? Well, it was in fact first published twenty

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<v Speaker 1>years ago that Chack the good Time Flies. The concept

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<v Speaker 1>is is really really simple. Um. The idea is to

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<v Speaker 1>take a database of actively managed funds, assign each fund

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<v Speaker 1>correctly to a representative benchmark, so if it's a large

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<v Speaker 1>cap us equity fund, the sp and then on a

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<v Speaker 1>regular basis to report how many of those funds survived,

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<v Speaker 1>survived and beat the benchmark. And then there's a wealth

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<v Speaker 1>of additional data around the spread in performance average performance

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<v Speaker 1>across funds, both over the short term and over the

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<v Speaker 1>long term. So it's a report that gives you a

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<v Speaker 1>sense of where active management is doing really well different geographies,

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<v Speaker 1>different market segments. What the long term statistics tell us

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<v Speaker 1>about where indexing might work as an investment strategy. Okay,

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<v Speaker 1>so who's winning? Who's writing? Um? Well, we just today

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<v Speaker 1>published our latest edition of the spever U score cord Um.

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<v Speaker 1>It runs data up to the media point of two

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<v Speaker 1>and unusually perhaps um, it's really really close year to

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<v Speaker 1>date in two of actively managed US large cap funds

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<v Speaker 1>underperformed the SMP five dred So it's not it's not

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<v Speaker 1>exactly fifty fifty's before, but essentially it's it's a coin flip.

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<v Speaker 1>So in the short term I'd say that it's a

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<v Speaker 1>really close race for two. Over the long term, a

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<v Speaker 1>much higher proportion of actively managed funds have underperformed the

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<v Speaker 1>s Yeah, I mean fifty percent is a huge feed

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<v Speaker 1>for active there. When I think of active, especially in

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<v Speaker 1>the large cap space, I think of like a third

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<v Speaker 1>outperforming right this year half have So that's pretty good,

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<v Speaker 1>is it? Because of the violatility, I think, I think

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<v Speaker 1>there's a combination of factors. Um. So, there is traditionally

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<v Speaker 1>a conception that active managers tend to do better in

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<v Speaker 1>bear markets, and of course that's something that happened this year,

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<v Speaker 1>and in the first half of the year, the US

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<v Speaker 1>exty market turned from from boll to bear. Um the

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<v Speaker 1>data suggests a much more nuanced picture. Actually, a downturn

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<v Speaker 1>tends to make things a lot more noisy and a

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<v Speaker 1>bit more random. What we also saw this year, as

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<v Speaker 1>well as slightly higher volatility, was a massive increase in dispersion,

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<v Speaker 1>which is a measure of how differently stocks are performing.

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<v Speaker 1>This was most visible in the performance of of different sectors.

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<v Speaker 1>So energy doing fantastically well at the same time this

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<v Speaker 1>technology was doing rather badly. And what you had across

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<v Speaker 1>different styles, across different sectors, across different stocks was a

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<v Speaker 1>really big difference between if you like winners and losers.

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<v Speaker 1>What what that does? It doesn't make any sort of

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<v Speaker 1>strategy smarter, but it does really turn it into more

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<v Speaker 1>of a game of luck rather than skill. Um. The

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<v Speaker 1>last time we saw a dispersion as high as we've

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<v Speaker 1>seen it so far in twenty two was two thousand

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<v Speaker 1>and nine. Funnily enough, that's the last time that active

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<v Speaker 1>managers had such a good record. Yeah, I mean, um,

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<v Speaker 1>I remember going back in two thousand and eight and

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<v Speaker 1>looking at the twenty biggest active funds, and I found

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<v Speaker 1>two thirds of them underperformed the horrendous year. Like the

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<v Speaker 1>SMP was down, two thirds were down worse. And this

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<v Speaker 1>was part of our big theme that we've been saying

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<v Speaker 1>for I don't know a decade. At this point we're

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<v Speaker 1>pretty proven, right, is that a bear market is actually

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<v Speaker 1>not going to help active um. It's it made help

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<v Speaker 1>a couple of funds, but generally speaking, the same amount

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<v Speaker 1>will outperform and the same amount will underperform um And

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<v Speaker 1>the other thing I think just a bear market tends

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<v Speaker 1>to be when investors flee their funds and their assets

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<v Speaker 1>go down anyway, So it's just generally not they sort of.

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<v Speaker 1>I don't know the turnaround opportunity that I think people

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<v Speaker 1>think it is, although if they can keep up fifty

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<v Speaker 1>for the year or a couple of years, that I

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<v Speaker 1>guess they would go a little further with maybe changing

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<v Speaker 1>the narrative. Yeah, I think if if if they can

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<v Speaker 1>maintain that that rate over the long term, then it

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<v Speaker 1>does get to be more of a balanced picture. I mean,

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<v Speaker 1>you know, something to bear in mind is we don't

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<v Speaker 1>apply any due diligence, if you like, on when producing

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<v Speaker 1>our speed reports. We don't say how did the good funds? Do?

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<v Speaker 1>You know? How do the funds that I would judge

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<v Speaker 1>as being likely to outperform do? Instead? It's it's really

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<v Speaker 1>about measuring the universe. So you might think, as an investor, oh, well,

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<v Speaker 1>you know, overall half of the funds out performed, but

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<v Speaker 1>I might be able to identify it half. That's the problem.

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<v Speaker 1>This is the problem for active and why I don't

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<v Speaker 1>even know if it matters. Okay, fifty out perform, let's

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<v Speaker 1>just say they actually held that up for five years.

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<v Speaker 1>They won't, but let's just say they did. Most people,

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<v Speaker 1>I think, especially advisors, have just sort of resigned themselves

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<v Speaker 1>to going well. I I admit some will outperform, but

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<v Speaker 1>I don't know which one is ahead of time, and

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<v Speaker 1>I don't want to roll the dice on that. I'll

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<v Speaker 1>just go Vanguard and buy a three basis point beta fund.

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<v Speaker 1>And that's what the flow show. So I mean, can

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<v Speaker 1>active turn around at all? Is there? I mean? Is

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<v Speaker 1>it over? Um? Well, let me say two things about

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<v Speaker 1>that would say not. First of all, that's well no,

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<v Speaker 1>it's the persistence problem too, and they if they do

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<v Speaker 1>it one year, they usually or five year period, they

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<v Speaker 1>usually do not do it the next five year period.

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<v Speaker 1>And and advisors know this. This information is now out

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<v Speaker 1>there thanks to Spiva and the Internet and whatnot. And

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<v Speaker 1>obviously Vanguard and Bogel beat the drum on this for

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<v Speaker 1>many years. Um. I mean I'm not I'm I'm torn

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<v Speaker 1>on how these tim tim is the game over? Well,

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<v Speaker 1>first of all, let's just put some data around this conversation.

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<v Speaker 1>So we mentioned under performing year to day in two,

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<v Speaker 1>but the Spever reports to include longer term statistics. If

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<v Speaker 1>you look at three years, that number goes up to

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<v Speaker 1>under performing, If you go to ten years, that number

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<v Speaker 1>goes up to under performing, and if you go out

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<v Speaker 1>to twenty years since we've started producing these reports, it

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<v Speaker 1>is actively managed under performing UM so. So so that's

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<v Speaker 1>the challenge I think that Eric's getting at right that

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<v Speaker 1>the short term number is it's always be the long

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<v Speaker 1>term number UM. Then you have the issue with as

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<v Speaker 1>you say, persistence so UM. There are lots of different

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<v Speaker 1>ways that you could try and identify a manager who's

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<v Speaker 1>UM your well positioned to to beat the market. One

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<v Speaker 1>of the challenges is the data suggests that the most

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<v Speaker 1>obvious thing to look at, did this manager beat the market?

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<v Speaker 1>Historically UM tends to be a low information signal, So

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<v Speaker 1>that's something that we cover in our Persistence report, which

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<v Speaker 1>is a separate Spever report comes out similarly on a

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<v Speaker 1>semi annual schedule, and what we look at is did

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<v Speaker 1>the funds that used to beat the market or used

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<v Speaker 1>to be their pays continue to do so? And there

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<v Speaker 1>you find actually there's a there's a degree of reversion

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<v Speaker 1>to the mean. It's really interesting to think about the

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<v Speaker 1>mechanics as to what happens to successful managers. That means

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<v Speaker 1>that you know, they might be challenged in their future

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<v Speaker 1>out performance. What the data says is that it is

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<v Speaker 1>difficult to identify a fund that will win based on

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<v Speaker 1>those that have outperformed in the past. Morning Star has

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<v Speaker 1>this great report, uh like yours, but they put fee

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<v Speaker 1>buckets into it, and what they find is there's a

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<v Speaker 1>high correlation between the ones that do outperform um and

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<v Speaker 1>the and the ones that are cheapest. So the lowest

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<v Speaker 1>quartile fee has a much better our performance rate than

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<v Speaker 1>the highest quartile fee, which is almost like they all underperform.

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<v Speaker 1>Is that kind of a common thread with the let's

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<v Speaker 1>look at the tenure the ten percent or nine percent

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<v Speaker 1>that outperformed. Is low fee a common thread or is

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<v Speaker 1>there something else they haven't in common? So we um

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<v Speaker 1>I've seen in the morning Star report and I like it,

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<v Speaker 1>and it probably is. Now I should emphasize what we

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<v Speaker 1>do with SPEVER is to compare actively manage funds net

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<v Speaker 1>of fees to benchmarks, which by convention do not include

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<v Speaker 1>any trading costs. Right, So we're giving them a hard

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<v Speaker 1>benchmark to be um. Over the years, we've heard this,

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<v Speaker 1>you know, is it all about fees and so on,

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<v Speaker 1>And so we started producing a different report which was

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<v Speaker 1>published exactly a week ago, which looks at grosser fee

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<v Speaker 1>performance and also looks at the performance of institutional accounts.

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<v Speaker 1>That's called spever institutional. And what that does is is

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<v Speaker 1>answers first of all, the question of how much difference

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<v Speaker 1>do fees make UM and what difference would it make

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<v Speaker 1>if I had institutional resources devoted to selecting an outperforming

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<v Speaker 1>active manager, and to take a just abroad look at

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<v Speaker 1>the results, what you see is, first of all, fees

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<v Speaker 1>do matter. Second of all, actually the performance of those

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<v Speaker 1>institutionally managed accounts is slightly better than the performance of

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<v Speaker 1>mutual funds. However, most active funds underperform the benchmark, so

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<v Speaker 1>even even gross of film. You know why you know,

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<v Speaker 1>I again my study of Bogel and this book. I

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<v Speaker 1>he would describe the active managers as sitting in a circle,

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<v Speaker 1>and they're all trading with each other, like at a

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<v Speaker 1>poker table. And I think sometimes people think of the

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<v Speaker 1>stock market as something else, but it's really just a

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<v Speaker 1>bunch of people trading with each other. And for for

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<v Speaker 1>me to win, Joel has to lose, and then I

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<v Speaker 1>have to basically find losers, like four or five times

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<v Speaker 1>in a row to be that that person who have performs,

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<v Speaker 1>and the odds are tough. It's just very difficult to

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<v Speaker 1>sort of gamble your way into having more money than

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<v Speaker 1>everybody else. I guess a couple do it, but largely

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<v Speaker 1>that everybody's sort of netting out zero plus you added

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<v Speaker 1>the fees and then it's overall people. It's not quite

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<v Speaker 1>a zero some game. I think it's it's um. So

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<v Speaker 1>here's here's the thing. We could all invest in the

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<v Speaker 1>equity markets and we could all make money. It's not

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<v Speaker 1>zero sum. What really is zero sum is is outperformance

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<v Speaker 1>is being smarter than than than everyone else or than

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<v Speaker 1>well exactly. The capital markets will build money, right, if

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<v Speaker 1>you just put your money in there, it will grow.

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<v Speaker 1>It's more of the outperformance zero some the trading. But

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<v Speaker 1>I mean, here's one question I have in the in

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<v Speaker 1>the equity and we'll go to some other categories. I mean,

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<v Speaker 1>all the numbers are pretty bad here, but you know,

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<v Speaker 1>it seems to me that some of these funds were

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<v Speaker 1>like built in the seventies, eighties, and nineties, and they

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<v Speaker 1>have to be real close to the SMP, and it's

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<v Speaker 1>tough to beat the SMP when you're close to it,

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<v Speaker 1>whereas some funds now like an ARC, they go way

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<v Speaker 1>out there and they're either gonna like crush it or

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<v Speaker 1>get crushed, and seems to be investors sort of prefer

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<v Speaker 1>that because in the core they're moving to passive. Before

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<v Speaker 1>you answer that, though, I think it's important that we

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<v Speaker 1>talked about this universe of funds in general, right because

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<v Speaker 1>this is everything. It's e T s, mutual funds, everything

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<v Speaker 1>grouped up and evaluated as one. Yes, so ets are

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<v Speaker 1>included on a report, but it's it's basically and did

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<v Speaker 1>you break them out at all? Or is it all?

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<v Speaker 1>We didn't, although that that is something I've been thinking

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<v Speaker 1>about doing, and it is also something I mean, I

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<v Speaker 1>don't think we'll ever do a daily spever, but you

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<v Speaker 1>could with the actually can see you know how many

0:12:05.360 --> 0:12:08.640
<v Speaker 1>how many beat the market today? Anyway to the question, yes,

0:12:08.720 --> 0:12:10.960
<v Speaker 1>so there aren't different categories. We've been talking a lot

0:12:10.960 --> 0:12:14.560
<v Speaker 1>about the large cap category. The growth category is actually

0:12:14.679 --> 0:12:17.640
<v Speaker 1>quite interesting. So growth was one of those areas where

0:12:17.640 --> 0:12:20.600
<v Speaker 1>the record of active managers had been going pretty strong.

0:12:21.400 --> 0:12:23.760
<v Speaker 1>If we were here one year ago, you've been asking

0:12:23.760 --> 0:12:25.720
<v Speaker 1>me why is it that I think it was a

0:12:25.800 --> 0:12:28.840
<v Speaker 1>thirty percent of growth managers were out performing over three

0:12:28.920 --> 0:12:33.600
<v Speaker 1>years UM. That record has strongly reverted to the mean

0:12:33.640 --> 0:12:38.240
<v Speaker 1>with the downturn in growth. There's you mentioned Cathy Woods

0:12:38.320 --> 0:12:40.520
<v Speaker 1>Arc Fund, which which came in for a lot of

0:12:40.600 --> 0:12:44.120
<v Speaker 1>perhaps unfair criticism. She was not alone. If you look

0:12:44.200 --> 0:12:48.000
<v Speaker 1>over the three year period now at large cap growth,

0:12:48.120 --> 0:12:50.360
<v Speaker 1>it's it's come back completely other the other way, it's

0:12:51.480 --> 0:12:54.520
<v Speaker 1>under performing. And what you see is is that, yes,

0:12:54.679 --> 0:12:59.000
<v Speaker 1>there is this aspect to which investors more generally I think,

0:12:59.000 --> 0:13:02.040
<v Speaker 1>have come to their active managers and demanded They said, look,

0:13:02.040 --> 0:13:06.119
<v Speaker 1>I can get very low cost access to my benchmark.

0:13:06.600 --> 0:13:08.120
<v Speaker 1>What I need you to do is to focus on

0:13:08.160 --> 0:13:12.000
<v Speaker 1>your best ideas and to concentrate on your highest conviction picks.

0:13:12.040 --> 0:13:14.600
<v Speaker 1>And I think many men managers have done that. It

0:13:14.720 --> 0:13:17.320
<v Speaker 1>does make it then the end result a little more

0:13:18.000 --> 0:13:19.960
<v Speaker 1>more of a broad distribution. Right there are either gonna

0:13:19.960 --> 0:13:22.640
<v Speaker 1>win big or they're gonna lose big um. And it

0:13:22.679 --> 0:13:25.640
<v Speaker 1>does in some categories like like growth, I mean that

0:13:25.679 --> 0:13:28.000
<v Speaker 1>you can get quite strong extremes. I think there's evidence

0:13:28.520 --> 0:13:32.520
<v Speaker 1>in our data suggest that the growth segment was kind

0:13:32.520 --> 0:13:35.719
<v Speaker 1>of more growth than than our growth index in particularly

0:13:36.280 --> 0:13:41.640
<v Speaker 1>in the downturn in growth relatively that started back in September. Yeah,

0:13:41.679 --> 0:13:43.760
<v Speaker 1>I think the I think I'm getting at here is

0:13:43.800 --> 0:13:46.600
<v Speaker 1>if you were running a fund in the eighties and nineties,

0:13:46.600 --> 0:13:49.199
<v Speaker 1>before indexing was big, you were used in the course,

0:13:49.360 --> 0:13:51.679
<v Speaker 1>you were ben smart hugging largely because you couldn't get

0:13:51.720 --> 0:13:53.400
<v Speaker 1>too crazy you can go you couldn't go for Cathy

0:13:53.440 --> 0:13:56.760
<v Speaker 1>would because you're sort of delivering core exposure. And I

0:13:56.760 --> 0:13:58.400
<v Speaker 1>think that locks them in because there are a lot

0:13:58.440 --> 0:14:00.600
<v Speaker 1>of their existing clients are those people who alathem for that.

0:14:01.160 --> 0:14:03.520
<v Speaker 1>So I find that they're kind of in this sort

0:14:03.559 --> 0:14:08.560
<v Speaker 1>of unfortunate like conundrum about still serving core exposure, so

0:14:08.559 --> 0:14:11.400
<v Speaker 1>they can't go really active. But people weren't really active

0:14:11.440 --> 0:14:14.599
<v Speaker 1>now because they use indexing for their core. Yeah, I

0:14:14.640 --> 0:14:16.720
<v Speaker 1>think I think you might be right. I would say

0:14:16.960 --> 0:14:19.440
<v Speaker 1>I'm not an expert in anten eighties fund history, but

0:14:19.440 --> 0:14:22.760
<v Speaker 1>there were concentrated technology funds at the time. There were

0:14:22.840 --> 0:14:26.080
<v Speaker 1>you know, top twenty funds, just twenty great idea funds

0:14:26.400 --> 0:14:30.720
<v Speaker 1>at the time. Um, I think you're right that more broadly,

0:14:31.240 --> 0:14:34.800
<v Speaker 1>it used to be the case that managers could could

0:14:34.880 --> 0:14:37.640
<v Speaker 1>essentially sell beta as alpha, that that might be a

0:14:37.640 --> 0:14:40.680
<v Speaker 1>bit a bit unfair, but I think that's a lot

0:14:40.720 --> 0:14:44.360
<v Speaker 1>harder to do nowadays. I still think there's look, there's

0:14:44.400 --> 0:14:49.080
<v Speaker 1>there's still massive need for active managers in our markets,

0:14:49.520 --> 0:14:52.720
<v Speaker 1>and they do provide a valuable service in terms of

0:14:53.240 --> 0:14:58.560
<v Speaker 1>you know, price efficiency an allocation of capital. The challenge

0:14:58.880 --> 0:15:00.800
<v Speaker 1>I think is is your much do you need and

0:15:00.840 --> 0:15:04.600
<v Speaker 1>how much do you as as an individual investor need

0:15:04.680 --> 0:15:07.880
<v Speaker 1>to to allocate to a to an active manager when

0:15:08.000 --> 0:15:09.920
<v Speaker 1>actually a lot of what's driving and performance to be

0:15:09.960 --> 0:15:13.120
<v Speaker 1>yours allocation. So walk us through some other headlines here

0:15:13.240 --> 0:15:17.760
<v Speaker 1>we had an equities there, fixed income. Yeah, so, um so,

0:15:17.800 --> 0:15:20.640
<v Speaker 1>I'll pick to too. Highlights from from other categories. The

0:15:20.680 --> 0:15:26.000
<v Speaker 1>first is um so, international managers had a slightly better

0:15:26.400 --> 0:15:30.320
<v Speaker 1>record in the latest Speeded edition and although again it's

0:15:30.400 --> 0:15:34.840
<v Speaker 1>it's we're still not seeing categories generally where you get

0:15:34.840 --> 0:15:37.600
<v Speaker 1>a high proportion of active managers beating the index over

0:15:37.640 --> 0:15:41.880
<v Speaker 1>the long term. One area that we have commented upon

0:15:41.960 --> 0:15:44.800
<v Speaker 1>frequently as one where the active record is much better

0:15:45.280 --> 0:15:50.760
<v Speaker 1>international small caps. So compared to an international small cap benchmarks,

0:15:50.920 --> 0:15:55.800
<v Speaker 1>managers picking small international stocks have actually had a pretty

0:15:55.880 --> 0:16:00.560
<v Speaker 1>good record over the long term. Fixed income well fixed

0:16:00.560 --> 0:16:02.560
<v Speaker 1>income has been was it was a bit more of

0:16:02.560 --> 0:16:05.440
<v Speaker 1>a mix this year. One area where active funds seem

0:16:05.480 --> 0:16:08.560
<v Speaker 1>to be having a particularly tough time was in the

0:16:09.320 --> 0:16:12.600
<v Speaker 1>intermediate US US government, and I guess that's it's just

0:16:12.640 --> 0:16:14.600
<v Speaker 1>a downturn in US government and also one of the

0:16:14.600 --> 0:16:18.440
<v Speaker 1>typical strategies that managers use in fixed income going along

0:16:18.480 --> 0:16:22.440
<v Speaker 1>the duration was a painful one this year. One area

0:16:22.480 --> 0:16:27.040
<v Speaker 1>where we saw managers do actually pretty well was just

0:16:27.160 --> 0:16:31.160
<v Speaker 1>general investment grade funds UM, seeing an under performance rate

0:16:31.240 --> 0:16:35.120
<v Speaker 1>of seventeen percent there um. So there does appear to be,

0:16:35.280 --> 0:16:39.720
<v Speaker 1>at least in the short term, evidence for for strong

0:16:39.720 --> 0:16:42.040
<v Speaker 1>performance from active managers in the fixed income space. So

0:16:42.200 --> 0:16:44.040
<v Speaker 1>the fixed income has always been a little better than

0:16:44.040 --> 0:16:47.600
<v Speaker 1>equity in these Beaver reports, and some say, well, look,

0:16:47.760 --> 0:16:50.680
<v Speaker 1>if your benchmark is the AGG it doesn't hold high

0:16:50.720 --> 0:16:52.640
<v Speaker 1>yield international. A lot of these managers will buy high

0:16:52.680 --> 0:16:55.440
<v Speaker 1>yield international, jag up the credit risk. Um do you

0:16:55.480 --> 0:16:58.280
<v Speaker 1>account for that, because in the equity world, if you

0:16:58.360 --> 0:17:00.000
<v Speaker 1>do that, you sort of get put into a different

0:17:00.040 --> 0:17:02.440
<v Speaker 1>bucket that's called style drift. How do you account for that?

0:17:02.480 --> 0:17:05.840
<v Speaker 1>Because I do think sometimes fixed income. The bond managers. Actually,

0:17:05.880 --> 0:17:08.000
<v Speaker 1>I think I have it lucky. They've got this agg

0:17:08.040 --> 0:17:11.400
<v Speaker 1>benchmark which is waited by debt. It's whereas the smps

0:17:11.400 --> 0:17:13.560
<v Speaker 1>got like momentum baked into it. It's a harder index

0:17:13.600 --> 0:17:15.240
<v Speaker 1>to beat on the bond side. I just feel like

0:17:15.240 --> 0:17:18.560
<v Speaker 1>maybe the index is easier to beat in general. Yeah,

0:17:18.600 --> 0:17:21.119
<v Speaker 1>I mean, my my team took over the production of

0:17:21.160 --> 0:17:24.080
<v Speaker 1>these reports quite recently and I did a deep dive

0:17:24.160 --> 0:17:25.920
<v Speaker 1>into the fixed income segment. And let me, let me

0:17:25.960 --> 0:17:30.760
<v Speaker 1>tell you something. Fixed income benchmarking is hard. It's really hard. Um.

0:17:32.080 --> 0:17:36.800
<v Speaker 1>Telling how a fund in particular is generating its returns

0:17:38.040 --> 0:17:41.159
<v Speaker 1>is difficult. Because I can take an equity fund, I

0:17:41.200 --> 0:17:43.040
<v Speaker 1>could tell you you've show me its performance. I can

0:17:43.040 --> 0:17:44.840
<v Speaker 1>tell you whether it's investing in emerging markets or not

0:17:44.920 --> 0:17:47.320
<v Speaker 1>simply by you know how it's doing and how emerging

0:17:47.359 --> 0:17:50.359
<v Speaker 1>markets are doing. Whereas in fixed income, if you're taking

0:17:50.560 --> 0:17:52.840
<v Speaker 1>a little bit of extra credit risk, if you're taking

0:17:52.880 --> 0:17:55.800
<v Speaker 1>on a little bit more duration, if you're using tips,

0:17:56.280 --> 0:17:58.879
<v Speaker 1>what you'll see is in the short term you'll return

0:17:58.960 --> 0:18:01.000
<v Speaker 1>to be really really correlated is your benchmark. Over the

0:18:01.080 --> 0:18:03.760
<v Speaker 1>long term, there will be a drift. And this makes

0:18:04.119 --> 0:18:07.600
<v Speaker 1>benchmarking really really difficult. I think there is a good

0:18:07.600 --> 0:18:10.640
<v Speaker 1>point to be made there in terms of aggregate bond

0:18:10.680 --> 0:18:18.240
<v Speaker 1>indices not representing what is the typical active manager activity.

0:18:19.359 --> 0:18:22.199
<v Speaker 1>I do think there's an open question there, and I

0:18:22.200 --> 0:18:27.960
<v Speaker 1>would certainly say that it's it's it's still a challenge. However,

0:18:28.240 --> 0:18:31.000
<v Speaker 1>I still think the way we do speaver is the

0:18:31.080 --> 0:18:33.600
<v Speaker 1>right way to do it, in the sense that we

0:18:33.640 --> 0:18:37.280
<v Speaker 1>should be comparing what an active manager can do versus

0:18:37.359 --> 0:18:40.439
<v Speaker 1>what is the simple choice in terms of gating broad

0:18:40.560 --> 0:18:46.320
<v Speaker 1>market exposure. Yeah, there's an index called the Bloomberg Universal Index,

0:18:46.480 --> 0:18:48.160
<v Speaker 1>which is like the AGG, but it has a little

0:18:48.200 --> 0:18:52.359
<v Speaker 1>high yield international. When we put that against intermediate total

0:18:52.400 --> 0:18:56.199
<v Speaker 1>return managers, the beat rate guts cut in half. They

0:18:56.240 --> 0:19:00.560
<v Speaker 1>become more like active stock pickers UM. But that that

0:19:00.760 --> 0:19:04.119
<v Speaker 1>ticker for that universal is actually ETF growing pretty quickly.

0:19:04.480 --> 0:19:06.959
<v Speaker 1>So some of these it's I U s B. It's

0:19:07.000 --> 0:19:08.960
<v Speaker 1>one of the fastest growing and I could see why.

0:19:08.960 --> 0:19:11.360
<v Speaker 1>It's the AGG with a little extra something, and it's

0:19:11.400 --> 0:19:13.679
<v Speaker 1>sort of, in my opinion, probably the best replacement for

0:19:13.680 --> 0:19:17.080
<v Speaker 1>a bond manager versus say the AGG or be you

0:19:17.119 --> 0:19:19.080
<v Speaker 1>know a g G R B N d UM. What

0:19:19.200 --> 0:19:21.640
<v Speaker 1>one question I have is sometimes the speed reports come out,

0:19:22.520 --> 0:19:25.679
<v Speaker 1>someone will be like, especially on Twitter, Hey, this is

0:19:25.680 --> 0:19:28.320
<v Speaker 1>an index company. You know, of course they're going to

0:19:28.400 --> 0:19:31.000
<v Speaker 1>want to promote this. And you know what would you

0:19:31.000 --> 0:19:32.760
<v Speaker 1>say to somebody say, this is actually in your vested

0:19:32.840 --> 0:19:35.200
<v Speaker 1>interest to have all this these numbers be so bad?

0:19:35.240 --> 0:19:37.720
<v Speaker 1>I get it, it's true. But do you ever get

0:19:37.760 --> 0:19:40.440
<v Speaker 1>people saying that or do you get maybe active manager

0:19:40.480 --> 0:19:44.200
<v Speaker 1>hate mail? Um? So well, let me let me say,

0:19:44.200 --> 0:19:48.040
<v Speaker 1>first of all, if you are an outperforming active manager. Um,

0:19:48.080 --> 0:19:50.000
<v Speaker 1>if you're one of theft in the short term or

0:19:50.040 --> 0:19:51.760
<v Speaker 1>one of the ten percent in the long term in

0:19:51.880 --> 0:19:54.879
<v Speaker 1>U S equities, you should love the Spever report because

0:19:54.880 --> 0:19:58.919
<v Speaker 1>what it shows is how special you are. So I

0:19:58.920 --> 0:20:04.360
<v Speaker 1>don't get hate mail from from good active managers. Secondly, Um,

0:20:04.400 --> 0:20:07.840
<v Speaker 1>what we committed to do was to report this number

0:20:07.880 --> 0:20:11.560
<v Speaker 1>on a regular frequency, i e. Every six months, will

0:20:11.720 --> 0:20:14.200
<v Speaker 1>report it when the numbers in our favor, will report

0:20:14.200 --> 0:20:15.840
<v Speaker 1>it when the number isn't in our favor, and we'll

0:20:15.840 --> 0:20:20.200
<v Speaker 1>try and give people perspectives UH and insights into what's

0:20:20.320 --> 0:20:23.720
<v Speaker 1>driving those numbers. Now, you're right, the long term data

0:20:24.400 --> 0:20:28.040
<v Speaker 1>does carry an implication that perhaps in an index based

0:20:28.040 --> 0:20:33.199
<v Speaker 1>approach could be suitable. Um. But the important point is

0:20:33.200 --> 0:20:36.000
<v Speaker 1>that we commit to reporting those numbers whatever they are,

0:20:36.040 --> 0:20:45.600
<v Speaker 1>and then let the data speak for itself. I noticed

0:20:45.640 --> 0:20:48.200
<v Speaker 1>you guys asset weight a section of the report and

0:20:48.200 --> 0:20:51.000
<v Speaker 1>then you equal weight is were there differences in the

0:20:51.440 --> 0:20:54.480
<v Speaker 1>our performance when you do those two different methods, Yes,

0:20:54.840 --> 0:20:58.560
<v Speaker 1>there are. So the reason we do both. So speeder

0:20:58.680 --> 0:21:00.960
<v Speaker 1>is not a kind of weighted number. How many funds

0:21:01.000 --> 0:21:03.919
<v Speaker 1>were there in the universe, how many beating the market? Um?

0:21:04.040 --> 0:21:08.000
<v Speaker 1>And obviously well not maybe not obviously, but but in practice,

0:21:08.040 --> 0:21:11.280
<v Speaker 1>what what happens is that doesn't represent the invested assets.

0:21:11.480 --> 0:21:13.400
<v Speaker 1>So there's a lot more money in some big funds

0:21:13.440 --> 0:21:15.879
<v Speaker 1>than there are in many small funds. Um. So in

0:21:15.920 --> 0:21:19.320
<v Speaker 1>the report we do report the equal weighted average returned

0:21:19.359 --> 0:21:22.119
<v Speaker 1>from each category and the asset weighted returned from each category.

0:21:22.200 --> 0:21:24.119
<v Speaker 1>If the big funds are doing better than the asset

0:21:24.119 --> 0:21:26.920
<v Speaker 1>weighted performance should be better than the equal weight to performance.

0:21:27.600 --> 0:21:30.200
<v Speaker 1>Generally speaking, just sort of summarizing lots and lots of

0:21:30.280 --> 0:21:32.920
<v Speaker 1>data pointance and lots of years of reports, asset wasted

0:21:32.960 --> 0:21:39.040
<v Speaker 1>performance is better. Generally speaking, is that because money flow helps,

0:21:39.160 --> 0:21:41.560
<v Speaker 1>because you're buying the stocks that the flows are coming

0:21:41.560 --> 0:21:43.040
<v Speaker 1>in and therefore the stocks to go up when you

0:21:43.040 --> 0:21:45.840
<v Speaker 1>buy them, which is sort of like a nice upward spiral. NOA.

0:21:45.880 --> 0:21:48.159
<v Speaker 1>Is it more just the big managers are able to

0:21:48.200 --> 0:21:50.680
<v Speaker 1>get better execution costs, they can actually move the market

0:21:50.680 --> 0:21:52.800
<v Speaker 1>in their favor. I think. I think that's part of it.

0:21:52.840 --> 0:21:57.840
<v Speaker 1>I think also there are generally economies of scale or low.

0:21:57.920 --> 0:22:00.359
<v Speaker 1>When we talked about fees, generally low fees do matter.

0:22:01.160 --> 0:22:03.879
<v Speaker 1>Lower few funds do tend to attract more assets. And

0:22:03.880 --> 0:22:05.879
<v Speaker 1>I think also bear in mind we're talking about the

0:22:05.880 --> 0:22:09.080
<v Speaker 1>whole universe, so that the there's quite a long tale

0:22:09.080 --> 0:22:12.760
<v Speaker 1>here of potentially quite small funds with potentially quite high fees. Jim,

0:22:12.840 --> 0:22:15.600
<v Speaker 1>what was the single most surprising thing that jumped out

0:22:15.600 --> 0:22:17.840
<v Speaker 1>of you when you got your hands on this Dad report?

0:22:18.720 --> 0:22:22.159
<v Speaker 1>Uh So, I think the the the one that I

0:22:22.200 --> 0:22:24.800
<v Speaker 1>was most interested by was there was the reversion to

0:22:24.840 --> 0:22:27.080
<v Speaker 1>the meaning in growth managers. And the reason it was

0:22:27.119 --> 0:22:32.159
<v Speaker 1>surprising is more often what you see is is the

0:22:32.200 --> 0:22:36.080
<v Speaker 1>best thing for say the small cap US equity category

0:22:36.280 --> 0:22:38.359
<v Speaker 1>is for large caps to do really well, because your

0:22:38.359 --> 0:22:40.199
<v Speaker 1>small cap funds might have a few large caps and

0:22:40.240 --> 0:22:42.399
<v Speaker 1>that sort of so compared to their benchmark, which is

0:22:42.440 --> 0:22:45.560
<v Speaker 1>only small caps. See what I mean. The same happens

0:22:45.560 --> 0:22:48.359
<v Speaker 1>for growth and value. So what happened this year is

0:22:48.400 --> 0:22:52.600
<v Speaker 1>that growth did really badly. And my expectation was was

0:22:52.680 --> 0:22:54.960
<v Speaker 1>that that would be good for growth managers because they

0:22:55.119 --> 0:22:57.119
<v Speaker 1>can have a little you know, a little bit of

0:22:57.200 --> 0:22:59.639
<v Speaker 1>value as well if they want to UM and so

0:22:59.760 --> 0:23:02.360
<v Speaker 1>j really and growth doing really badly made me think

0:23:02.359 --> 0:23:05.040
<v Speaker 1>that growth managers would do relatively well. That did not happen.

0:23:05.840 --> 0:23:08.240
<v Speaker 1>And as as we said earlier, it's suggestive of the

0:23:08.240 --> 0:23:11.359
<v Speaker 1>fact that growth managers actually we're really doubling down on

0:23:11.600 --> 0:23:14.560
<v Speaker 1>the growthiest part of the market, as Eric was suggesting,

0:23:14.600 --> 0:23:17.040
<v Speaker 1>you know, maybe concentrating with bets and so that that

0:23:17.520 --> 0:23:19.960
<v Speaker 1>is something that seems to be corroborated by this day,

0:23:20.000 --> 0:23:23.440
<v Speaker 1>so which I found really interesting and surprising. We talk growth.

0:23:23.640 --> 0:23:26.000
<v Speaker 1>Value finally had its day, right, This is one of

0:23:26.000 --> 0:23:28.720
<v Speaker 1>the big stories of the last year. How did value

0:23:28.720 --> 0:23:32.159
<v Speaker 1>managers do versus their benchmark value managers? UM It was

0:23:33.840 --> 0:23:37.600
<v Speaker 1>not quite a coin flip, but pretty close of value

0:23:37.600 --> 0:23:41.119
<v Speaker 1>managers A performed. Feels like they've been waiting for this moment,

0:23:41.240 --> 0:23:46.800
<v Speaker 1>just like it's like the moment came and it's like, oh, well,

0:23:46.840 --> 0:23:49.560
<v Speaker 1>I will say value e t fs have taken in

0:23:49.640 --> 0:23:51.720
<v Speaker 1>a ton of money, like there's a real you can

0:23:51.720 --> 0:23:54.280
<v Speaker 1>tell people are like ready for a regime change. And

0:23:55.080 --> 0:23:58.000
<v Speaker 1>I'm guessing their numbers were better than growth because they

0:23:58.400 --> 0:24:02.879
<v Speaker 1>probably were diligently buying actual value stocks that were below value,

0:24:03.440 --> 0:24:05.359
<v Speaker 1>whereas growth might have been, you know, sort of like

0:24:05.440 --> 0:24:08.359
<v Speaker 1>leaning into more growthy stocks and got caught on the

0:24:08.359 --> 0:24:10.600
<v Speaker 1>wrong side for the half of year. Maybe they'll flip back,

0:24:10.640 --> 0:24:13.679
<v Speaker 1>but that makes sense to me in a way. Okay,

0:24:13.800 --> 0:24:15.800
<v Speaker 1>damn question that we ask everyone at the end of

0:24:15.800 --> 0:24:19.639
<v Speaker 1>trillion's favorite et F ticker, what's yours? Well, as a

0:24:19.680 --> 0:24:26.080
<v Speaker 1>representative of an index company, also have to kindly I'll

0:24:26.119 --> 0:24:28.720
<v Speaker 1>answer that if you work at SMP, it has to

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<v Speaker 1>be spy. I mean, I mean, it would be weird

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<v Speaker 1>if it wasn't. He could have no comment, but okay,

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<v Speaker 1>that's We'll just say a pretty strong contender. We'll say

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<v Speaker 1>it's spy. Tim Edwards, thanks for joining us in Trillions.

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<v Speaker 1>You thanks for listening to Trillions until next time. You

0:24:47.040 --> 0:24:50.119
<v Speaker 1>can find us on the Bloomberg terminal, Bloomberg dot com,

0:24:50.200 --> 0:24:54.080
<v Speaker 1>Apple podcast, Spotify, or wherever else you'd like to listen.

0:24:54.680 --> 0:24:57.359
<v Speaker 1>We'd love to hear from you more on Twitter. I'm

0:24:57.400 --> 0:25:02.440
<v Speaker 1>at Joel Webber Show. He's at Air Caltunist. This episode

0:25:02.480 --> 0:25:07.639
<v Speaker 1>of Trayance was produced by Magnus Hendricksen. Bye. M hm

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<v Speaker 1>m m hm hmm