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Why the Stock Market Might Be at Peak Concentration Risk

2025/1/24
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Joe Wiesenthal
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Kevin Muir
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Tracey Alloway 和 Joe Wiesenthal:美国股市集中度过高,少数大型科技公司主导市场,传统投资策略失效,投资成功与否取决于是否重仓科技股。市场集中度创历史新高,引发对市场风险的担忧,需要探讨集中度过高的程度、内在风险以及市场参与者的应对措施。个人投资组合中重仓科技股既是优势也是风险。 Kevin Muir:全球股市普遍存在集中度过高的问题,但美国股市的情况尤其值得关注。许多投资者低估了标普500指数中科技巨头所占的比重,这是一种令人担忧的新现象。美国股市目前的集中度与大萧条前、70年代 Nifty Fifty 和 90年代末互联网泡沫时期相当,预示着未来股市回报可能不佳。如果人工智能泡沫破裂,科技股大幅下跌,投资者可能会对投资组合的表现感到震惊。越来越多的金融专业人士认为市场集中度过高具有风险,并正在寻找规避风险的方法。由于美国税法规定(25-5-50规则),罗素1000增长指数面临调整,以降低集中度风险。指数提供商的规模和影响力日益增长,其定价策略和指数易于战胜程度影响着市场参与者的选择。指数提供商的定价策略和指数设计的易于战胜程度会影响投资者的选择。罗素1000增长指数正在调整其规则,以应对日益增长的市场集中度风险,避免违反税法规定。由于个别股票权重过高,一些指数(如QQQ和XLK)已经进行了紧急调整。罗素1000增长指数调整了其权重上限规则,以应对集中度风险。指数化投资加剧了市场集中度,但市场并非完全缺乏效率,投资者会根据自身情况调整投资策略。美国股市集中度可能已达峰值,市场正在自我调整。市场效率正在下降,量化投资策略的盛行导致市场更多地追逐短期动量而非基本面。

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This chapter explores the increasing concentration risk in the US stock market, particularly within the S&P 500 index. The discussion highlights the dominance of a few large tech companies and compares the current concentration levels to historical periods like the Great Depression and the dot-com bubble. The implications for investors and the role of index providers are also examined.
  • Top 10 stocks account for 38% of the S&P 500, a record high
  • 26 stocks account for half of the S&P 500's value
  • Current concentration levels are comparable to those before major market crashes
  • Concerns about the impact of AI hype on tech valuations

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89% of business leaders say AI is a top priority, according to research by Boston Consulting Group. The right choice is crucial, which is why teams at Fortune 500 companies use Grammarly. With top-tier security credentials and 15 years of experience in responsible AI, Grammarly is how companies like yours increase productivity while keeping data protected and private. See why 70,000 teams trust Grammarly at grammarly.com slash enterprise.

Meta's open source AI, available to all, not just the few. Here's Steve McCloskey, CEO of Nanom. With Meta's open source AI model, Lama, we built a tool to help scientists to discover treatments for diseases. Learn more at ai.meta.com slash open. Hey there, OddLots listeners. We have a very special announcement. Joe and I are hosting our annual FrotLots pub quiz on Thursday, February 13th in New York City. And it's going to feature some

very special guests and prizes. So come test your wits in finance, markets, and economics for a chance to win the ultimate Odd Lots glory and hang out with your fellow listeners. Tickets are on sale now at events.bloomberglive.com slash oddlots pub trivia. You can also find links on our Twitter feeds or in the newsletter, and you can find the link also on our show notes. We hope to see you there.

Bloomberg Audio Studios. Podcasts. Radio. News. Hello and welcome to another episode of the Odd Thoughts Podcast. I'm Tracey Alloway. And I'm Joe Wiesenthal. Joe, do you remember when you first heard the term Mag7? You know, I don't.

If I'm being honest, but you know, these acronyms for big tech stocks, like they kind of, you know, people used to talk about FANG, right? I know. I was just thinking that. Like when did the handoff from FANG to MAG7 actually happen? We need to do one of those like Google Trends, Ngram things. That's a good question. And then there was like FANG Plus and then FAMG.

And but they're all kind of the same thing. It's just big tech stocks. Right. So the the terminology, the acronyms might change. But I think the subject is always kind of the same and the concern is always the same. It's this idea that there is like a handful of big companies, usually tech stocks that are driving the entire market. Yeah. And it drives people crazy. Right. They're so big.

And they've grown so much. And the stocks have done so well over the years. And all these old strategies of like, oh, we're going to like buy cheap or buy cheap, low book value, you know, price to book and all these traditional investing patterns. It never mean reverts for years and years and years, except for like five minutes in 2022. They just go straight up.

And the only test of whether you're a good investor or not is whether you're overweight. Whether you bought tech. Yeah, that's it. That really is the alpha nowadays. But, you know, you see these numbers thrown around. Like, I think Goldman Sachs said that the top 10 stocks now account for something like 38% of the S&P 500, which is a record. And seems crazy.

quite a lot on the face of it. And I saw another number out there saying 26 stocks now account for half of the entire value of the S&P 500. So I think it brings up a bunch of interesting questions. How bad is the concentration? Is it intrinsically bad in and of itself? Is it actually that risky? And also,

how are financial professionals and the market itself actually reacting to this concentration risk? So I think we should talk about it. Totally. You know, I look at myself in the mirror and I say to myself... Do you point at yourself like that meme? On some days I point and say, you're a good... Because, you know, I'm just like a boring index fund investor from my retirement, you know? So I point and say, oh, you're a good investor because you've been really long tech. And then I...

And then on other days, they wake up and say, oh, you are really heavily exposed to 26 stocks. And so, you know, it's like to, you know, glass half full. It's like good, but also makes me a little anxious. You shouldn't take credit. You should give that credit to S&P. Thank you. And then when the market collapses, you should blame them.

I do. I say thank you to the wonderful fund managers at S&P. I only wish you hadn't, you know, every once in a while they have a dud. It's like, why'd you pick that one? Anyway. Or why didn't you include Tesla? Yeah, right. Exactly. All right. Well, without further ado, we do, in fact, have the perfect guest for this topic, someone that's

I've wanted to speak to for a long time, and I can't believe we haven't had him on the podcast before. Major oversight on our part. We're going to be speaking with Kevin Muir. He is, of course, the macro tourist and a longtime voice on FinTwit and writing on his blog as well. So, Kevin, thank you so much for coming on All Thoughts. It's great to be here. Thanks, Joe and Tracy.

Maybe just to begin with, it's the first time you're on the show. I've always sort of known you as this voice that's hanging around in the finance blogosphere. But what's your background? So I was the equity derivative, institutional equity derivative trader at RBC Dominion Securities in the 90s. I was kind of at the forefront of the technological boom and the automated trading and the index trading and the taking off of all these index products.

And then in 2000, I actually went off on my own and I thought maybe, you know, I'll go work for a hedge fund. And I thought, well, at the same time, I can go and trade for myself for a little bit and see how that goes. And that's kind of 25 years later and I'm still doing it. You write The Macro Tourist. What's your goal? What do you, for those, I...

we're both big fans of your writing, but what do you like to write about? What's your sort of goal with your writing? - Well, Joe, it originally started off as a diary and I just kind of, good traders, you're supposed to keep a diary and I would start writing things and then people would phone me up and ask me what I thought of the market.

And I would send it off into the mail. Just go, well, here's what I wrote in my diary. Eventually they started to ask often enough that we just started to put it up on the net. And then they took off from there. And from there, I ended up going and actually started my podcast and meeting all sorts of people. And one of the kind of just...

Great parts about being on the podcast is the fabulous people I got to meet. Along the way, I meet people like Jim Lightner and I've had Mike Masters on the podcast. And those people are market wizards. They're terrific. And I get to share ideas with them. And it's just I consider myself one of the luckiest guys in the world. So let's get to the topic at hand then. Give us some context around concentration risk in something like the S&P 500 right now. I threw out some numbers earlier, but how...

How extensive is this concentration and should we be worried about it? Well, Tracy, one of the things that people will kind of push back on when you say that the U.S. has become more concentrated is they'll say things like, oh, but if you go look at other indexes around the world, they're also very concentrated.

And that's absolutely correct. There's no doubt about it. This is something that is experienced in Canada. As I mentioned, I'm a Canadian and I was on the index desk at a time when Nortel was actually 35% of the entire index. Wow. So if you think that you guys were having trouble dealing with this now, just imagine having 35% of the index being one stock.

It was actually even worse than that because we had kind of a palm at triple M situation where Bell Canada was one of our next biggest stocks and it main holding with all of its Nortel holding. So it ended up being that the index managers were stuck because if you think about it from a fiduciary point of view, it

It doesn't make sense to have 50% of your portfolio exposed to one stock. It's risky. And so one of the things that I'm hearing now when you bring up the problems about concentration risk in the U.S. is they'll say, oh, no, but don't worry. It's actually much better than the rest of the world. And I won't deny that for a second. But isn't that kind of like saying, you know, my Mercedes car,

is now using plastic knobs, but don't worry, the Honda uses plastic knobs too. Part of the reason that investors have been attracted to the US is that it is a diversified basket of many stocks. And just think about, you know, Warren Buffett. Warren Buffett tells you you can buy the S&P 500, you can sleep at night. But if you go and talk to investment advisors around the world and you ask them,

Do you think your clients really truly know what's underlying that basket? I think most of them would say they would assume that it's roughly equal weight. And they would be shocked to learn that Microsoft, Nvidia, Apple are each almost 7% of their basket for a total of 21%. And so it ends up being, it's a worrisome kind of new development in the U.S.,

And I don't buy the argument that just because other countries are more concentrated that we shouldn't worry about it in the U.S. And all you have to do is look, you mentioned that Goldman Sachs stat, and they have another one that they published and they went back and they looked at concentration risk throughout the last century.

And if you look at it, we are now just as concentrated as we were right in front of the Great Depression in 1929, in the nifty 50 in the early 70s, and the dot-com bubble in the late 90s. Well, all those times were not good times to buy stocks for forward returns. So increasingly, I think that we need to be aware that this is a risk. And there's more and more conversation happening around that. ♪

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In 15th century Florence, the great inventor Leonardo da Vinci dreamt of creating a flying machine. But something kept getting in his way. Admin. Piles of it. Luckily, Leo used the smart buying tools on Amazon Business, so he could work more efficiently. With the extra time, he not only invented the flying machine, but actually built it. Magnifico. Incredibile. Splendido. Whoa, easy there, Leo. Splendido.

Amazon Business, your partner for smart business buying. I'm happy that NVIDIA has been 7% or somewhere south of that in my portfolio. I didn't even have to do anything. And I made a big allocation to one of the best performing stocks in the world. And not only that, I mean, I take your point about concentration and et cetera, and obviously very alarming. But I think it's a great point.

These also account for a huge share of the actual earnings, too. So, I mean, there was a lot of concentration in 99, 2000 with tech, but a lot of those companies weren't really making that much money. These companies are earnings juggernauts.

Well, no doubt. You're absolutely correct, Joe. And that's kind of the pushback to this argument that we're concentrated world. They'll say, oh, it's Mag7. It's a wide variety of different companies that do different things. It's not like it's all one industry. And not only that, the valuations aren't as crazy as they might seem. No doubt about it. You can make that argument.

But let's just imagine tomorrow that the AI bubble doesn't live up to its hype. Let's imagine that all of a sudden we have some sort of earning surprise and these stocks get halved. It's not that hard to imagine. We went through it in 2022. So if that occurs, I think that people will be quite shocked at how their supposedly diversified basket of stocks performs.

And more importantly than that is that we can sit around and we can debate whether you should own this or whether this is prudent. But more and more fiduciaries, more and more risk managers, more and more institutional portfolio managers are looking at it and saying this is dangerous and they're looking for ways around it.

And one of the things that many of these managers are bumping up against is that although the S&P 500 is actually in line with this following rule of this thing called the 25-5-50, which means that no one stock can have more than 25%.

and the biggest stocks that are over 5% can't add up to more than 50% of your portfolio, that's an IRS rule that is called the 25-5-50 rule. There's no problem with the S&P 500 currently with that rule. But there is something called the Russell 1000 Growth Index. And increasingly, more and more institutional managers are benched to that index.

And what we're seeing is within that index, we're bumping up against that. And what's happened now is that Russell has realized that this isn't just kind of a fiduciary point of view. This is actually an IRS issue in terms of they cannot go over those things. So what we're seeing is there's changes in the rules coming to make sure that this index is capped.

By the way, Tracy, Kevin mentioning how exposed everyone is to AI beta, so to speak. And I just want to give a plug. We had a really good contribution in the Odd Lots newsletter from Skanda recently on this whole thing. There's just both in stocks and the economy and the real economy. There's just this like.

They better get this AI thing right. Yeah, seems kind of important. Kevin, you mentioned finance professionals reacting to this concentration risk. So, OK, maybe your average mom and pop retail investor doesn't realize that the S&P 500 is not, you know, 500 equal weighted stocks. But certainly finance professionals do. And they're aware of

both the risk involved in having a large concentration in just a handful of stocks and also some of the requirements around diversification. So legal requirements that you just mentioned. Before we get into some of those changes, can you maybe just

give us a little bit of background on the importance of the index providers to the finance industry itself. This is sort of a pet topic of mine that I've written about occasionally, but how big a deal are the index providers now?

Well, you're absolutely right to highlight that, Tracy. And I'm glad to see you have such an enthusiastic attraction to index providers. I'm the only one. You're the only one that gets excited about it. But it is a big story. And one of the issues is that as indexing has become more popular, some of the kind of traditional, the first of the indexers have started charging more.

which has created an opportunity for other index providers to jump into the loop.

So obviously we all know the S&P 500, but then there's the FTSE, which is Russell. But there's also things like Morningstar and even you guys at Bloomberg have a lot of great indexes and you're competing on a lot of these things as well. So what's driving that is kind of two factors. One of them is that there is the cost associated with the big ones. So they're just kind of clients that have to pay

tens and hundreds of thousand dollars for this index data is our changing providers trying to get something cheaper. And then the other thing is, is a little more kind of nefarious. There's some indexes that are easier to beat. So if you have an index that you know the rules, you can actually front run them.

When I was researching this and learning about this, someone told me that it's important that you buy the products of the indexes that are difficult to beat. And then from a kind of client perspective, if you are a portfolio manager, you choose the indexes that are easier to beat.

Because if you're using, you know, for example, the S&P 500 as your benchmark, that's a lot more difficult to beat than another index that might have one annual revision that is easy to kind of forecast and run ahead of.

Joe, I should just mention, Kevin was kind enough just then, because he's a very polite Canadian, to basically do our disclaimer for us, which is that Bloomberg LP, the parent company of Bloomberg News, does own a bunch of different indices, but probably most prominent among them are the Bloomberg Bond indices, and those were the Barclays indices before. So I should just mention that.

There you go. Thank you, Kevin. And thank you. Can I jump in with a little pro tip? Since a lot of people are getting Bloomberg users. One of the things is if you go and you want to see, for example, the index move in the S&P 500 and you type in HMOV.

you'll see that they actually, unless you pay for that data, you don't get the index point changes. But Bloomberg has the B500, which is very similar and you can plot it in. And then all that functionality that you have to pay for on the other things, it actually works quite well on the Bloomberg indices.

There you go. So if you have a Bloomberg terminal, but don't feel like paying for the S&P data specifically, Kevin just gave you a little bit of a little bit of alpha there. But, you know, it actually you talked about a front running index changes. Why is it that easier? Right. Like S&P, they announced, oh, some new company is joining an index. How can you make money from those announcements?

Well, you used to be able to. There was a huge opportunity before and there was hedge funds that devoted themselves to doing it. But now everyone knows the ones that are, you know, due to go in. And then there's hedge funds who actually have portfolios of all the stocks that are due to go in. And even not just hedge funds, even pension funds will go out and front run them because they realize that there's some alpha there. So at the end of the day, Joe, the problem is that the more people look at it, the less money there is to be made in kind of

trying to guess those things. All right, so let's get into how not just the benchmark index providers are reacting to increased concentration, but also how finance professionals are. You mentioned the Russell 1000. So give us a little bit more detail on what's happening there. So Russell 1000 is aware that there's intense concentration risk. Right, so they're jumping, so they're actually getting ahead of their time

problems of potentially going and bumping up against this 25-5-50 rule. And for those who aren't aware of it, this isn't a new phenomenon. We actually had this in the summer of 2023 when Microsoft became too large of a position within the QQQs and there needed to be an emergency rebalance where they reduced the size of Microsoft. And then we also saw this in the sector select XLK spider

Where NVIDIA ran up and it actually ended up again, we bumped up against that 25, 550 rule and they needed to be an emergency rebalancing there. And that was a situation where there was the way that their capping worked. It was this kind of very violent shift from selling Apple and buying NVIDIA and then kind of the next quarter flipped the other way because of the way that the stock prices moved and they had to do this rebalance again the other way.

And so this is the problem with that many of these index providers are kind of bumping up against in terms of they don't want to be too violent with their shifts. They don't want to go and get into situations where they're rebalancing all the time, trying to keep within this limit. And that is why the Russell in this R1000 growth, which is one of the most popular growth indexes out there, they chose instead of using the

Five and the 50 rule, they used four and a half and 45, meaning that any stock above four and a half, if all those stocks add up to 45%, then they do this rebalance. So they've kind of given themselves a little bit of extra room there in terms of the rebalance. What's interesting is that they announced this, I don't know, it's a year ago because they saw this problem coming.

Nobody was talking about it. Oh, yeah. I actually went back to try to find articles on this. I couldn't find any.

Yeah. The way that I came upon this idea and this kind of revelation about that this is coming up was actually one of my subscribers and a buddy sent me something from Kevin Shea from Discipline Alpha. And he'd written this whole piece about it and just highlighting it. One of the reasons that he highlighted is he was a mid-cap manager during the 2000s and

And he distinctly remembers Siebel Systems and another one. I can't remember the other one, but there was two big stocks in the S&P 400 that were due to go into the S&P 500. And when they did it, the trouble was that the guys had all bought it for the S&P 500. And then when the S&P 400 guys went to sell it,

There was no bids. And that coincided with the top of the NASDAQ market. And he's very kind of adamant that this could be another situation where we have a situation where the MAG-7 has to go down in weighting in one of the biggest indexes out there in terms of after the S&P 500. This is probably the next biggest growth index out there.

And when this rebalance occurs, which again is in March, ironically, it's the same deal, there's going to be millions and millions of shares of these MAG7s

And so for me, when I was trying to learn about it, I went and said, okay, I went to an old buddy at TD and they were one of the few, and I think he said he was the first sell-side dealer to actually start talking about this. But increasingly over the last month, there's been more and more folks paying attention and realizing that this is a bigger deal than they realize. ♪

89% of business leaders say AI is a top priority, according to research by Boston Consulting Group. But with AI tools popping up everywhere, how do you separate the helpful from the hype? The right choice is crucial, which is why teams at Fortune 500 companies use Grammarly. With over 15 years of experience building responsible, secure AI, Grammarly isn't just another AI communication assistant. It's how companies like yours increase productivity while keeping data protected and private.

Designed to fit the needs of business, Grammarly is backed by a user-first privacy policy and industry-leading security credentials. This means you won't have to worry about the safety of your company information. Grammarly also emphasizes responsible AI so your company can avoid harmful bias.

See why 70,000 teams and 30 million people trust Grammarly at grammarly.com slash enterprise. That's Grammarly at grammarly.com slash enterprise. Grammarly. Enterprise-ready AI.

In 15th century Florence, the great inventor Leonardo da Vinci dreamt of creating a flying machine. But something kept getting in his way. Admin. Piles of it. Luckily, Leo used the smart buying tools on Amazon Business, so he could work more efficiently. With the extra time, he not only invented the flying machine, but actually built it. Magnifico. Incredibile. Splendido. Whoa, easy there, Leo. Splendido.

Amazon Business, your partner for smart business buying. By the way, as Tracy knows, I love dot-com era trivia and talking about that. And so, like, you talk about Siebel and you talking about the 3Com Palm situation and all these are like, these are some of my... Catnip for you. Yeah, this is total catnip. You know, it occurs to me, like, the sort of, the very strict...

Chicago school, there's no such thing. Everyone, people love to say there's no such thing as like, you can't as passive investing. You can sort of get close to it. You know, the strict Chicago school people is like, you know, you buy the global market portfolio at their market value, every investable asset in the world. These rules essentially make it impossible, right? Because if you had some stock that,

That was, I don't know, it got so big, it was 25% of the index or whatever, but you're not allowed to do it. Technically, like you really couldn't buy the true market portfolio given some of these constraints. That's correct. And that's an IRS constraint. And then not only that, just stop and think about if you go and you try to recreate these portfolios at a broker. I spoke to one investment advisor. He said, if I went and made a portfolio of the QQQs,

Like if I just made it from scratch and did all those things that compliance would tell me that I'm too concentrated in tech stocks. So he says, I'm not allowed to buy this from a compliance point of view, but I'm allowed to buy the client's QQQs. And that's back to my point is that we all just kind of been lulled into this feeling that everything's okay. It's a broad index and it's no longer as broad.

and ironically you're talking about this idea about the mark the indexing and if you remember mike green and his theory that the big will get bigger because of indexing and more and more people will just continue and this will create a situation where the biggest stocks will continue to skip bigger and bigger and bigger well we're here this is happening

And my pushback to that argument has always been that he's assuming the market doesn't work. He's assuming nobody goes and says, hey, wait, those stocks are too big. I'm going to go and no longer be benched to the S&P 500. I'm going to be benched to Russell 1000 or maybe 3000. I'll change it.

And see, this is the problem is that many clients have kind of career risk. So if they're benched to the S&P 500, they can't go and put this huge bet where they don't own the Mag 7, where they just say, nope, I can't own it. It's too expensive. They need to go and they need to own those stocks. But if you're a fiduciary that's managing money for someone and you go and you say, listen, this doesn't make any sense.

We're buying this S&P 500. And the original reason what we did it was because it was supposed to be this diversified basket of the whole market. This no longer makes sense. Let's go try to find something else so you can change your benchmark.

Now, ironically, that actually takes a lot of hassle and it's difficult. You have to go and you have to convince all the users of your product or the end clients to switch it. And that is why in this situation with the Russell 1000 growth, instead of making a new benchmark that is capped, they said, no, we're just going to change the existing rules of the existing index.

So if you want an unconstrained Russell 1000 growth, there is a new index that Russell has created.

But in this case, it's going to be everyone that is the Russell 1000 growth. And it's a lot of them. Like you go, you pull it up, you'll see 20 billion, 40 billion, lots of people with big, big accounts that are benched to this. They're going to all of a sudden find themselves overweight mag seven because there's a shift that's occurring on the March expiry, March 21st.

So, Kevin, you mentioned Russell making this decision to change the existing index rather than create a new one. And this is exactly what I wanted to ask you about, which is, you know, when we talk about benchmark index providers, we talk about them as being passive, right? They always say they create these indices that are basically holding up a mirror to markets and trying to reflect them as they exist right now.

And that kind of I'm a little skeptical of that approach because I do think index construction affects things like flows. It's kind of reflexive. And I do think there are a lot of, you know, judgment calls that are embedded when you're deciding what to include and what to exclude. But if they're making an active decision to change the weighting on something like tech, does that perhaps open them up to more scrutiny, perhaps from regulators? Yeah.

Well, I wouldn't say from regulators. It's more scrutiny from the clients. But in this case, they're not actually saying they don't want more tech. They're saying we need to comply with this 25-5-50 rule, which is an IRS rule. It has nothing to do with a decision that they think that the MAG-7 has gotten too risky. The index providers are there to provide whatever index they

they think they can sell to their clients. If their clients want something, they're going to do it. And by that token, interestingly enough, we see the S&P 500 earlier this spring introduced a capped version of the S&P 500, which has individual stocks capped at 3%. Now here in Canada, we've actually already listed an ETF based upon this index. Right.

But the reason that S&P has created that index is because there's a demand for it. And ultimately, the clients will drive it

And what I thought was so interesting about this whole development is that we're seeing index providers having to change their rules because of this 25, 550. Then we're also seeing institutional pension funds endowments starting to question whether they want to continue with benchmarks that have such a large concentration.

And this is combined with the fact that many retail don't really understand what they're buying when they buy the S&P 500. So when I look at this situation and think about how this is going to play out going forward, I can make the argument that we're kind of at the peak of concentration here and that this is the market correcting what has become too concentrated of a market.

You know, going back to this idea that the big just keep getting bigger. And you mentioned some of Mike Green's theories. And, you know, there is this view that some have that, like,

The funds themselves, the ETFs, the index funds, like create this mechanical flows and that flows to the biggest stocks and they keep going up and etc. Flows before pros. As Tracy has coined it. Do you still have that in your message now, Tracy? I think I do, but only because I'm lazy and haven't been bothered to replace it. But on the other hand, we're recording this January 22nd.

And one of the biggest stocks in the market, Apple, has significantly underperformed all year. So the QQQ, the indices are up, but Apple is actually significantly down this year, concerns about iPhone sales. It still looks to me that maybe there's some mechanical flows going on, but there is...

individual security selection and marginal price setting still happening. So despite like all these, the flows that on some level, you know, that they're, you know, if a company is, if they're concerned about a company's performance, it doesn't just mechanically go higher. You're right, Joe. But I would push back and say that I'm Cliff Asness camp, that it's become a lot less efficient. There's less and less fundamental investors and

going out and actually buying and selling stocks based upon fundamentals. And not only that, Cliff won't tell you this, but if you think about it, part of the reason the market has become less efficient is because of quants themselves. They become a larger and larger portion of the trading in the market, these pod shops.

And I have nothing against them. They're producing some absolutely stellar returns, risk adjusted. They're out of this world. They're terrific. But a lot of it is based upon following momentum and doing things like earnings revisions and other kind of

pro like short term pro cyclical movements. So there's very little of the kind of David, the old David Einhorn. I'm buying a stock because it's for, you know, a four P.E. And I'm planning on selling it at seven P.E. when everyone figures out that earnings are going to be better than expected. Now it's much more

Next quarter's EPS is going to be slightly higher. That means the earnings revisions tick up and therefore all of our models mean that you need to buy and everyone rushes into it and then the CTAs follow and it just ends up feeding upon itself.

So I'm not quite sure I completely agree with you, Joe, that everything is great with the markets. It really does feel to me like it's become less efficient, not more. All right, Kevin Muir, I am so glad that we finally got you on the show and we have to do it again. Thank you so much. My pleasure. Thank you for having me on. Thanks, Kevin. It was great. Thank you.

Joe, that was so much fun. I'm so glad we finally had Kevin on the show. And he even brought you, you know, dot com era ephemera. I know. I love it. I love this topic. I mean, I just think about it all the time. I even wrote about it in the newsletter this week. Every month, Bank of America does their hedge fund or their fund manager survey. And one of the questions they ask is, what do you perceive as the most crowded trade?

And basically, like, almost every month for years now, it's been some version... For years. Back in Fang era. It's some version of big tech. And, you know, like, you're like, typically you think, oh, this is a crowded trade. It can't go on. But the move has been to play the crowded trade. Yeah, absolutely. And you're right. To some extent, that's been justified by earnings. Yeah. But I think...

I think there is like this reflexivity that I mentioned at play in the market where, you know, the big attract more inflows, they get more capital, they get bigger, maybe they get more pricing power, and then that leads to more earnings. So you have this sort of cycle going on. I mean,

For whatever reason, we're in an era, and I would say there is a winner take all in this across the economy that you see for sure. And how much of that is financial flows? How much of it is real economic outcomes?

I guess my inclination is still to look and say, you know, the earnings growth of these names are unbelievable. But whatever the reason, everyone is now all in on the same bet. And Kevin made the point about career risk, which is,

Which is really key, which is that even if you think you've identified something else or maybe a better way to diversify, et cetera, do you really want to be the one person who like, oh, I'm going to like shave down my NVIDIA exposure or do you just want to ride with everyone else at the same time?

You know what one of my favorite benchmark controversies is? Go on. There's actually a lot of them. If you think about, you know, like including Chinese bonds, including Chinese shares and things like that. But there was this big kerfuffle among Frontier and EM investors about Kuwait. Huh. Kuwait was included in the MSCI Frontier Index for the longest time. And a lot of people didn't like that because Kuwait,

Kuwait is this like fairly small country with only four million people and like a pretty small GDP. And everyone was like, why can't we have more Vietnam or something like that? So eventually they they kicked Kuwait out of the frontier index and sent it to EM and everyone was happy. That's a good story. Including Kuwait, presumably. That's a good story. Yeah. Thanks.

Shall we leave it there? Let's leave it there. All right. This has been another episode of the Odd Lots podcast. I'm Tracy Alloway. You can follow me at Tracy Alloway. And I'm Jill Wiesenthal. You can follow me at The Stalwart. Follow our guest, Kevin Muir. He's at Kevin Muir. Follow our producers, Kermen Rodriguez at Kermen Arman, Dashiell Bennett at Dashbot, and Kale Brooks at Kale Brooks.

For more OddLots content, go to bloomberg.com slash oddlots. We have transcripts, a blog, and a newsletter. And you can chat about all of these topics, including index concentration and markets and investing in our Discord, discord.gg slash oddlots.

And if you enjoy All Lots, if you like it when we talk about benchmark index providers, then please leave us a positive review on your favorite podcast platform. And remember, if you are a Bloomberg subscriber, you can listen to all of our episodes absolutely ad-free. All you need to do is find the Bloomberg channel on Apple Podcasts and follow the instructions there. Thanks for listening. ♪

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