Tradestreaming Cascade (Week ending 3/26/2011)

A new addition to Tradestreaming, the Tradestreaming Cascade is a highlight reel of some of the past week’s most interesting information.  Much of this comes from my Twitter feed, @newrulesinvest.

The speed of light could turn the middle of the ocean into a stock-trading center (io9): The death of distance is reversed as physical location becomes more important in high-frequency trading circles.

Why do bowlers get hot hands while basketball players don’t? (Peter McGraw): While basketball players don’t exhibit it, bowlers do show streakiness.  From this perspective, I think certain types of investors may show hot hands.

Effects of ending syndication of financial blog content (The Rational Walk): A blogger stops giving his content away to aggregation sites and sees more pageviews and more $$.  Hmmm.

Hedge Fund bets $40M that Twitter Can Predict the Stock Market (Huffington Post): Based on Bollen and Mao’s research, hedge fund launches to harness the power of social media.  Tradestreaming, baby.

How your money is managed: the mutual fund industry up close (Tradestreaming): Great new book written by Hamacher and Pozen  — everything you wanted to know about mutual funds.

A new class of Internet startups is trying to turn data into money (Economist): Huge payoff and huge money in Big Data startups in finance.  This article profiles three co’s racing to secure their share.

Signup here to receive real-time updates from Tradestreaming.

How your money is managed: the Mutual Fund industry up close (podcast)

Mutual funds have introduced millions of Americans to investing in the stock market.  While their popularity and usage may have changed throughout the last 30 years,mutual funds still play a critical role in many portfolios.  Yet, many investors — smart, educated people — still don’t quite understand how they work.

Summary

In this episode of Tradestreaming Radio (if you don’t see it below, click here), we talk to Theresa Hamacher, a true mutual fund industry veteran.  Along with Bob Pozen, Hamacher is the co-author of the new book, The Fund Industry: How Your Money is Managed (Wiley Finance).  It’s a good read and an important book to have in your investment library because it’s scope is so broad.  The book discusses the history of mutual funds, their legal structure, career paths in the industry, how different funds are managed (stocks vs. bonds), and how fund analysts decide which securities to invest in.

Our discussion meanders through different facets of the industry, investing, and Hamacher’s book.

We discuss:

  • how to use mutual funds
  • the asset management industry
  • the financial crisis and how funds were involved/affected
  • how mutual funds shape up against exchange traded funds (ETFs).
  • why the mutual fund industry views the upstart ETF industry as competitive.

Listen below

 

 

Resources:

Pricing’s influence on investment decisions (transcript)

This transcript is of a conversation I had with William Poundstone (listen to the podcast), author of the newish book, Priceless:The Myth of Fair Value (and How to Take Advantage of It)

Hi! I’m Zack Miller, author of the recent book TradeStream Your Way to Profits: Building a Killer Portfolio in the Age of Social Media, and you’re listening to Tradestreaming Radio, our home in the internet radio space. This is our place to discuss how technology is helping investors to become better, smarter, and more accurate at what they do.

You can find this podcast on iTunes. You can also find lots of other material relating to this podcast, as well as archives of our programs at my website www.tradestreaming.com There’s lots of other great content there as well, and I recommend you check it out.

We have a very interesting podcast setup for today. Joining us on the podcast will be Bill Poundstone, who’s the author of Priceless: The Myth of Fair Value (and How to Take Advantage of It). It’s a fantastic book, its gotten a lot of great reviews online and off as well. The book focuses mainly on retail pricing decisions, how consumers are affected by pricing. Things like damage awards in court cases setting precedents, anchoring in terms of negotiation, where we started a negotiation has a big effect on where we end the conversation; arbitrariness of numbers, contrast, a lot of issues that today’s behavioral economists are focusing on.

Bill Poundstone creates a really readable history of how we’ve come to understand how humans are effected by pricing. I took a little different tact; obviously, we’re concerned here at Tradestreaming with investor decisions. I asked a lot of questions to Bill about how investors react to the market, how psychological market pricing is, crowd-following in terms of piling on to a hot momentum stock. How is that affected by our perceptions of pricing? And, how susceptible we are, as investors, to cues that pricing is giving us?

Bill is a wealth of information. I hope you find this usable and interesting. Check out the book. I will link to the book on Amazon and to Bill’s site on the blog.

As always, we value your comments on Tradestreaming, please feel free to drop me an email, or leave your comments on the blog at: www.tradestreaming.com , and I hope to check in with you next week with another great podcast.

*************

The first question I had was traditional economics posited that economic man is somewhat rational, and obviously a lot of what you write about- that’s obviously being challenged. How is it being challenged?

Bill Poundstone: Well, certainly economics is based on the idea of a reserve price. The idea that everyone has a secret maximum that they are willing to pay for something, and all of their decisions, all of their actions, are really founded on that reserve price. You look at what the market price is and if your reserve price is higher you buy, otherwise you decide to keep your money in your pocket.

What psychologists have found, really just since the 1970s, is that really reserve prices are a kind of fiction. That we really manufacture these reserve prices almost on the spur of the moment, and they way we do that, actually, is a lot like the way that our senses work. In other words, if you go into a dark room suddenly, and you’ve been in a light room, everything is going to be completely dark, you won’t see anything. But once your eyes adjust to the darkness, you’ll be able to see all sorts of things. It’s really you’re very sensitive to contrast, but not so much to absolute values.

The surprising thing is that psychologists like Amos Tversky and Daniel Kahneman have shown that with prices we really work much the same way. We are very sensitive to contrast.

A simple example of that, that you can see, is that if you go into a really fancy department store they will actually arrange it so that one of the first things you see will be something that is just outrageously expensive. And you’ll kind of look at that price tag and shake your head and say, you know, who would pay $2,000 for that handbag? But the reason they do that is because of the contrast effect. You’ll then look around it and you’ll see more reasonably priced stuff, and that’s going to seem like a bargain in comparison.

This almost sounds funny when you describe it, but they’ve done studies and found that this is really the way the human mind works. We are very sensitive to these contrasts, and if you have a sale that says, “This flat screen TV was once $2000, and now you can get it for just $1300,” even though you are a little skeptical about that original price of $2000, it still does affect your decisions, it does have an effect, and it causes more people to buy that. Again, it’s this idea that people are very sensitive to contrast.

Because these contrast effects are so big, it really does challenge this idea of a reserve price. That’s made an awful lot of differences in how we look at economics.

I guess the same issue would hold sway in the stock market, or obviously when someone pays $10 for a stock, the $10 doesn’t really mean anything, other than the fact that it’s the market cap divided by the number of outstanding shares. Comparing two stocks at a $10 price, doesn’t make any sense, because it really has to do with how big they are.

Do you see pricing influencing the way investors may look at stocks as well?

Poundstone: Yes, I think the stock market particularly is a good case of psychological pricing. Because, I mean no economist has really come up with an entirely convincing theory of what sort of price earnings ratio you should be paying. Really, a lot of it is based on crowd psychology, on what you see other people doing. There is just this natural tendency to follow the crowd, to do whatever you see other people doing. In situations like that, where there isn’t a clear value for something, we are particularly susceptible to all of these psychological cues.

I guess the stock market, as you’re mentioning, is sort of the collective wisdom of a lot of different investors, if an individual investor is somewhat irrational in their approach to pricing, we’ve always talked about the market as being more rational, obviously, because efficient market hypothesis, we assume all knowledge is sort of baked into the existing stock prices.

Is the market reflective of that collective? Would we see also a skew there that the market itself would actually be irrational according to what you’re discussing?

Poundstone: Yeah, it’s certainly the collective wisdom, but it’s also some of that collective irrationality. The classic example of that is that stock prices are much more volatile than stock earnings are. So, that shows that people really are susceptible to some sort of crowd effect, sometimes they decide they are going to be paying a lot more for earnings than they are at other times. It really seems to be this crowd effect, the psychology rather than any rational reason for that.

Currently the market continues to go up, and you read a lot of theory right now with quantitative easing. People are sort of piling into the stock market, whether they’re afraid of missing a run, or they’re just jumping in at the tail end of an existing run. Yet, there’s still this sort of macro economic wall of worry.

Why are people continuing to pile in, in the face of the fact that we’re looking down a summer or a year ahead of us of maybe some extreme volatility?

Poundstone: Yeah, well in many cases, in a lot of these psychological experiments they show that people really are very susceptible to what you might call the power of suggestion, to doing what other people do.

I mean the classic example is in a boring meeting if one person yawns, a whole lot of other people are going to yawn. It’s not that they’re making even a rational decision, that now is a good time to yawn, but you just sort of do it without thinking.

I think there’s a lot of similar effects at work in the stock market. The more people you see doing something, the more inclined you are to follow along.

There’s really kind of an interesting experiment on that was done in the 1950s where people were given what was called a “vision test”. They were just showed simple lines on sheets of paper and asked, “Is this line the same length as this line or not?”

Every question was actually very easy. One line was either obviously much longer, or not longer. What they did was have one real experimental subject in there with a lot of confederates of the experimenter. The confederates were there to give the wrong answer. They found that at least half of the people would give the wrong answer when everyone else was giving the wrong answer. No one wanted to be the one to say the emperor has no clothes, this is not right.

He asked people, “Why would you do that?” They gave all sorts of answers. Some said, “Well, I thought it was wrong, but I figured it must be me.” “I wasn’t seeing it right,” or, “It was a trick question,” or something.

So, they really showed that there is this incredibly strong tendency to do whatever you see other people doing, even when in the back of your mind you feel it’s wrong. I think that’s certainly what you see at market peaks, where everyone wants to get in, do what other people are doing, even though you do have a certain amount of worry in you.

It speaks to all the more importance of being a contrarian thinker, right?

Poundstone: Yes, definitely. Again, if you could sort of bottle contrarianism, and get some way of knowing when to use it, that would be a very valuable thing.

You speak about prospect theory in the book, and you describe what it is and how it impacts investors’ feelings toward losses. Can you describe a little bit about that?

Poundstone: Yeah, in its simplest form it basically means that there is this great asymmetry. We feel losses much more strongly than we feel gains. In other words if I gave you a fair bet and said, “I’m going to toss a coin, 50/50. You either win $100 if it’s heads, or you lose $100 if it’s tails,” most people would really not want that, because they know they would feel really bad if they lost $100, whereas they would feel good if they won $100, they wouldn’t feel good enough to make up for the chance of a loss.

In fact, when they asked people how much would you have to win to make this a bet you’d want to take the usual answer is somewhere around twice as much. In other words if I said, “I’ll give you $200 if it comes up heads, you lose $100 if it comes up tails,” then people would want to do that.

Now obviously in any rational terms that’s an incredibly great bet, and you should do whatever you can to get that kind of bet, or even something that was even slightly in your favor. The smart investors, the hedge fund managers, if they can get something where there’s a tiny edge, that’s obviously what they spend their whole careers trying to do.

But when you get to the emotional matter of it, people really do not like losses of any kind. This is something that is very important in investing, because anyone managing other people’s money has to keep in mind that when you do have these inevitable down turns your clients are going to be very unhappy. In situations like that they’re going to want to compare you to what the indexes are doing. If you’re even a little below those indexes they’re going to be very inclined to switch managers. So, it is something of very great practical importance in investing.

Financial advisors obviously go through that process when they meet with the client, or even with an existing client. They do it periodically in trying to assess their risk tolerance. Why is that process so hard? Is it that we don’t necessarily have the language to describe risk? Or is it that investors themselves are just very bad at assessing their own risk? As you speak about this loss aversion, they may not necessarily claim to that when you ask them these types of questions, right?

Poundstone: Yeah, I think risk aversion is one of those sort of interesting fictions, kind of like IQ. I mean there’s certainly a grain of truth to it, but it kind of overlooks the complexity of human nature. I mean we all know that there are very smart people who do dumb things. So, it’s kind of tough to have a single number IQ that tells how smart you supposedly are.

In much the same way it’s very hard to place your risk tolerance on a scale, because one of the things they’ve found is that it’s very, very context dependant.

In a situation where your portfolio is down 50%, almost everyone becomes incredibly less risk tolerant. But in other situations where you see everyone else is making all this money, and everyone is talking about it at cocktail parties, how much money they’ve made, people suddenly decide they’re very risk tolerant.

It really does depend on the situation. It also depends a lot on even how you phrase the questions. So, it’s really a very hard thing to nail down someone’s risk tolerance, and you have to be aware that the actual personality differences from one person to another can actually be less than the differences from like Monday to Tuesday for the same person, depending on what that person has encountered in that particular time.

I’m hearing what you’re saying, and I say the same things to clients, it almost sounds like heresy when I say it, but given the fact that investors have such a hard time really describing or assessing their own tolerance toward risk, do you call into question – should people really be in the stock market, or why they’re approaching the stock market?

Is it sort of just a legalized form of gambling? Are they actually in there with a focus to beat inflation, right? I would say that’s sort of the baseline why people should invest. Given the fact that it’s so hard does that call into question sort of the whole reason why we’re investing?

Poundstone: I mean I think it’s worth asking people those types of questions. Again, you have to realize that you’re not necessarily going to get straight answers. A good example of that- the whole idea of bonds is that they’re supposed to be safe relative to the stock market. If you say, “If you’re investing in treasury bonds you’re guaranteed to get back your principle plus interest,” then everyone says, “Oh, that’s great. There’s no risk. I want that.”

But, another way of explaining that is if you say, “Well, if you take into account inflation, there actually is a pretty good chance that you’re going to end up with less buying power than you had.” If you tell people that then they decide that maybe bonds really aren’t such a good thing.

One of the things that Kahneman and Tversky showed is that in so many of these, even big important decisions, so much depends on how you phrase the question. I think anyone interviewing their clients have to be aware of that. You should probably think about posing questions in different ways to see if you get the same answer in both cases, in many cases you won’t.

In my own practice, given the fact that I’ve become aware of a lot of these sort of human tendencies, I guess I’ve evolved my investing towards sort of a more quantitative methodology, where I’m sort of taking the decision making process out of it. Given these sort of human frailties, do you think that’s necessarily a good thing for investors to do, sort of automate the investment process to some extent?

Poundstone: Yeah, I think there’s a lot to be said for that. I mean if it’s automated and you’ve got a good algorithm for doing that, then you at least avoid all of these human frailties that do really cut into your return. It’s certainly been shown that people are much happier with stocks if they don’t read their account statements every single day and instead every year, or even every couple of years. They’re generally happier to see that there is a steady gain, since you’re more likely to have that if you only look at your account value very infrequently.

Again, it’s a lot of just where your attention is, and what you’re focusing on. Because given that the stock market is very volatile, and because of prospect theory, you’re constantly having these losses relative to what you had the previous day, and that really is something very psychologically draining.

Of course nowadays everyone is constantly connected. A lot of people really do obsess over their current portfolio value. This can be very draining for them, and can cause them to make bad decisions. In answer to you question I would say it is really- that would be the ideal, to try and have some sort of automated, an algorithm that you trusted to make these daily decisions.

You discuss hormonal effects, right?

Poundstone: They’ve found that testosterone actually has a huge effect on how risk tolerant people are, how aggressive they are in their investing and so forth. They’ve found that most of the really successful traders, at least in one study in London, were men who had higher levels of testosterone. It really does affect your decision making.

One question I ask of all guests on the program, because Tradestreaming and what I try to do on the site and through the podcasts is help people discover new ideas, and discover new tools, I ask guests what you use in terms of either researching the stock market, or even how to stay on top of new pricing theory and stuff like that. Are there certain sources that you use in sort of your daily rounds, around the internet, or offline, or whatever, that you find particularly useful that you’d like to share?

Poundstone: I’m really basically just a big believer in rebalancing. I mean I’ve read Swenson’s books. That’s pretty much my gospel.

I figure I really don’t have enough time to get really an informational edge, so I basically rely on index funds and rebalancing them, which I check every week.

What about new sources of information in terms of the core of this book, of pricing? Are there certain blogs, or industry periodicals that you’d recommend?

Poundstone: Yeah, I read basically a lot of the psychology journals. Some of the blogs are very useful. Dan Ariely’s blog I enjoy quite a bit, which is very nicely written. Again, but actually a lot of the psychology stuff, like Psychological Review, there’s one called the Journal of Risk and Uncertainty that really has a lot that pertains to the stock market. I usually find some interesting articles there.

This has been really helpful. I found the book very useful and very interesting. Thanks for participating.

Poundstone: Thank you.

That was Bill Poundstone, the author of Priceless: The Myth of Fair Value (and How to Take Advantage of It). We explored lots of issues in terms of how investors are susceptible to pricing cues, for better and for worse in their investing process. It’s something that all investors should be aware about, and it’s certainly something at Tradestreaming we’re trying to stay on top of as new research comes out, bubbling up some of the new findings in the field.

Love to hear from you if you have any other perspective on this. Bill brought a perspective that was pretty expansive in terms of its wide reaching coverage of the behavioral economics field. He’s a pretty prolific author, and he’s the author of some other books.

Check out the book. It was an interesting read, something that has gained its place on my bookshelf. I hope you enjoyed it. We’ll be back next week.

More resources

Pricing’s influence on investment decisions (podcast)

This episode of Tradestreaming Radio includes a conversation with William Poundstone, author of Priceless: The Myth of Fair Value (and How to Take Advantage of It).

We discuss:

  • market psychology of pricing
  • crowd following and momentum stocks
  • how investors are susceptible to pricing cues
  • what behavioral economics says about risk assessment

Poundstone’s book is a sweeping overview of some of the most influential ideas and people in behavioral economics the past 60 years.  While much ink is devoted to Tversky and Kahneman and their work, the second half of the book takes on a more practical approach in how we can all use the findings of behavioral finance to our benefit.

My interview with Poundstone focuses more on the quirks in the investment process rather than merely looking at consumer behavior.  Tradestreaming is more concerned with how Poundstone’s insights affect our investment behavior, our aversion to trade losses, and our perception of rapidly rising stocks.

We all chase momentum stocks and have a hard time buying real value.  Pricing theory and its place in behavioral economics literature is a small but growing field specifically in the investing vertical.

More resources


Should the government get into the insurance biz?

Well, Professor Terrance Odean, Professor of Finance at UC Berkley, thinks so.

From an Op-Ed in the NYT:

Anyone planning for retirement must answer an impossible question: How long will I live? If you overestimate your longevity, you might scrimp unnecessarily. If you underestimate, you might outlive your savings.

This is hardly a new problem — and yet not a single financial product offers a satisfactory solution to this risk.

We believe that a new product — a federally issued, inflation-adjusted annuity — would make it possible for people to deal with this problem, with the bonus of contributing to the public coffers. By doing good for individuals, the federal government could actually do well for itself.

Prof. Odean thinks the government could actually play the role of Ultimate Backstop.  Annuity buyers pay a premium to an insurance company in return for a “guaranteed” payment stream.  Of course, nothing is guaranteed and investors are subject to default by underwriting insurers.

The U.S. government doesn’t face the same default risk (though theoretically does face some risk).  Here’s how it would work:

  1. investors would enroll in a qualified retirement plan (like a 401k) and choose an annuity option
  2. investors would receive payouts based on a variety of factors like mortality tables and interest rates

Proponents of this product (hey, roll-em up and issue an ETF that tracks them) believe that the Treasury would even benefit from such a plan as it decreases reliance on foreign lenders and expands the domestic investor base.  While I don’t particularly like government meddling, it’s an interesting idea.

Prof Odean is a Tradestreaming favorite and his works have been incorporated into much of my book.  He’s done great, insightful work on investor overconfidence-caused underperformance, overtrading (which is also caused in part by overconfidence), expenses and mutual fund flows.

Source

Paying for Old Age (New York Times) Feb 25, 2011

Humans and Machines Both Reign Supreme: Takeaways from the Battle of the Quants

As markets gyrate, investors continuously hear two diverging voices in their heads.

Matt Dillon (voice of Confidence): Yo, Johnny.  My strategy rocks and I’m in it for the long hall.  I’ve looked over my allocations and they make sense.  I mean, I know what I’m doing here and everything is under control.

Woody Allen (voice of Self-Doubt):  When I began implementing my strategy, I was sure.  Oh, was I sure.  But now?  I dunno.  Am I headed in the right direction? Is volatility too much for me?

Well, the investing kings of the universe also suffer from these opposing forces.  Put differently, quants need to balance the confidence needed to put millions of dollars behind an algorithm they’ve designed and think works versus the fear that if things hit the fan, they’re just a congressional meeting away from notoriety.

Luis Lovas had a great article recounting a meeting that occurred last week, The Battle of the Quants.

The afternoon’s main battle was a panel that pitted a quant team dedicated to automated algorithms against a team that (presumably) considers human discretionary decision making as a better tool for alpha. In other words, like the Jeopardy challenge of IBM’s Watson, it was human vs. machine. That particular event I was completely fascinated by.  An interesting pre-game commentary relates the Jeopardy match to the Singularity by author Ray Kurzwell, a convergence of human and machines.  In the battle pitting algo’s against humans the outcome was decided by an audience vote.  The voting was not simply two choices: “for the machines” or “for humans”, but a third choice was offered more aligned with Ray Kurzwell’s Singularity – “a combination of human and machine decision making”.  As you might have guessed, that third choice was the overwhelming favorite. I believe the majority have the confidence to let machines decide many things but are wanting of human intuition or that proverbial finger on the button as a measure of risk control so fear does not overwhelm.

Kinda like me flying in an airplane.  I know the technology has been good enough for decades to replace a human pilot.  But I’m happy that someone is sitting there.  Just in case.

And hopefully it’s Sully.

And hopefully the pilot is sober.

Source

Confidence and Fear: Why Quantitative Models Win (High Frequency Traders)

Screen your way to profits with new screener

Empirical Finance has launched a simple stock screener for general usage (read, free).  And it’s pretty nice.

In its announcement of the launch of Empirical Finance Data, the company said the site is intended to accomplish a few goals

  • Demystify quantitative long/short.
  • In our mind, the only reason many fund managers can pitch overpriced products to investors, is due to a serious information asymmetry problem. We are here to shakes things up a bit.
  • Currently, the only way to access quantitative long/short equity is via expensive private placement vehicles (e.g., hedge funds), expensive mutual funds, and expensive managed accounts. The key theme across all these vehicles is the following theme, “EXPENSIVE.”
  • Allow “hands-on” investors an opportunity to build straight forward quantitative portfolios using high-quality data via our basic screening tools.

That’s cool for me — that’s what Tradestreaming is all about. Finding the tools, data and research to make more accurate — profitable — investment decisions.  This dovetails nicely into the category we call Stock Screening 2.0 — using technology and proven investment techniques to quantify the investment process.

The screener is super simple and currently sizes stocks up in 4 ways

  1. Joel Greeblatt’s Magic Formula
  2. Piotroski’s F-score
  3. Novy-Marx’s Profit and Value Score
  4. Cooper, Gulen and Schill’s Asset Growth strategy

Users can search for all rankings of an individual stock or screen for the highest ranking stocks in a particular screen according to market cap.  Check it out.

Additional Resources

Empirical Finance Data Services (Empirical Finance Blog)

What is Tradestreaming: Screening 2.0 (Tradestreaming)

Advanced Resources

John Reese’s The Guru Investor: How to beat the market using history’s best investment strategies (Tradestreaming Bookshelf) provides great research for investors interested in creating guru strategies that recreate the types of investments history’s best investors made (guys like Lynch, Buffett, Graham, etc.)

When following the fast money can be a good long term strategy

Stone Street and The_Analyst had an interesting piece yesterday that appeared on Zero Hedge.  Entitled Financial Voyeurism, Why You Can’t Beat Fast Money, the piece took to task all the excitement surrounding hedge fund’s public 13F filings (.pdf) every quarter.

According to Stone Street:

funds and asset managers with greater than $100 million in assets under management are required to report their holdings. The list includes exchange-traded or NASDAQ-quoted stocks, equity options and warrants, shares of closed in funds shares of closed-end investment companies, and certain convertible debt securities. Short positions are NOT included in the 13F. In addition, managers can request confidential treatment of their filing if they feel that their strategy would be compromised by the disclosure. This includes circumstances where the manager has an ongoing acquisition or disposition program. Confidential treatment can last for three months to one year. Lastly, it is important to note that the 13F must be filed no later than 45 days after the end of the quarter. Most funds wait until the deadline to report, as such they are lagging indicators.

The issue is that clearly, investors blindly following 13F followings in an effort to replicate hedge fund portfolios are missing crucial information.  Beyond the lag between buying and filing, not all the fund’s holdings appear in these filings.

So, the incessant race in the blogosphere to analyze these reports for any changes in holdings appears to be somewhat futile.  Fast money momentum players look to piggyback portfolio changes of guru investors in the hope that the market has not fully incorporated this information into current prices.

But, it works

The thing is, with certain investors like Mr Buffett, this strategy actually works.  According to a study I quote in my book, Tradestream, a piggybacking strategy that incorporated only positions included on public filings would achieve alpha close to that of Buffett’s actual portfolio.

The researchers found that Buffett, although touted as the king of value investing, was actually running a growth portfolio.  From Martin and Puthenpurackal’s Imitation is the Sincerest Form of Flattery:

An investor who mimicked the investments from 1976 to 2006 after they were publicly disclosed in regulatory filings would experience statistically and economically significant positive abnormal returns using various empirical tests and benchmarks.  This indicates the market under-reacts to the initial information that Berkshire Hathaway has bought a stock and is slow in incorporating the information produced by a skilled investor.

I understand that Buffett takes larger positions and his holding period is longer than your typical hedge fund.  And that matters.  It would be harder to replicate portfolio performance in a fund like Renaissance that has huge turnover in its portfolio and very short holding periods.

But there are a lot of funds that take bigger, more concentrated positions, like some of the Tiger Cubs, Paulson, Ackman, etc.  Sometimes, even just mimicking a fund’s best idea works.  What these blogs and services are doing in scrambling to reveal and analyzing quarterly filings comes from a good place but needs to be put in context.

Do it, but with class and rigor

I think the point here is not to throw the baby out with the bathwater and poo-poo portfolio replication in general.  On the other hand, mimicking anything that moves — cloning any hedge fund manager — doesn’t make sense either.  That’s dumb money.

What I’ve done after publishing my book is move more and more into rules-based portfolio replication.  But I did it with rigor. I  identified firms that take concentrated positions and hold onto them.  I them backtested them using AlphaClone (see why I called AlphaClone “the cure to investor insanity“) to determine which strategies come closest to mimicking their own performance.  For some funds, it’s their largest holding.  Others performance comes from the largest new holding.  Other positions include the most widely held tech stock, for example.

These portfolios do work but they require vigilance and methodology.   See the performance of one of our portfolios, the Tradestreaming Guru Strategy.

Source

Financial Voyeurism, 13-F Chasers: Why You Can’t Beat the Fast Money (Stone Street Advisors)

Martin and Puthenpurackal: Imitation is the Sincerest Form of Flattery: Warren Buffett and Berkshire Hathaway (SSRN)

Cohen, Polk and Silli: Best Ideas (SSRN)

Random Walk’s Malkiel sells out

I first read Princeton U.’s Burton Malkiel when I was in college.  Certainly a best-seller, his 1973 A Random Walk Down Wall Street was as common on a Harvard Econ professor’s shelf as beer pong was in a Dartmouth frat.

For Malkiel, Wall St.’s high priced investment advice was an anathema — investors just couldn’t beat the market, so why try?  Better to invest in low-cost, passive indexes and go out and have fun.

Well, Malkiel is back with the 613th or something printing of Random Walk and in anticipation of the book’s launch, he’s hitting the interview circuit.

Can it be that the Grinch of Wall St has had a change of heart?  In an interview with RegisteredRep, he dropped a whammy:

RR: You write, “You can do as well as the experts — perhaps even better.” That philosophy must drive financial advisors crazy.
BM: In a way, you really need to interpret that. I’ve become frankly more appreciative of what a financial advisor can do. For me, it’s keeping people from beating themselves. Keeping people on an even keel. It’s easier said than done. It’s very hard work.

I’m sort of an informal financial advisor for all of the Princeton widows. I remember so many of them would come in with tears in their eyes in the third quarter of 2008 when it looked like the world was falling apart — “and I have to sell all of my equities!” That’s what I mean by keeping people on an even keel.

Either he’s hankering for a new job or he just really knows his audience.

Source

Malkiel: Wall St. Has Caught Up to Random Walk (RegisteredRep)