Any Monkey Can Beat the Market
I think the Fama-French crowd will approve of this article.

Rick Ferri


Maybe the real monkeys were all needed on typewriter duty?
telemark wrote:I'm disappointed that the monkeys were only simulated. Maybe the real monkeys were all needed on typewriter duty?
Did the monkeys exhibit any tilt?
Rick Ferri wrote:Give a monkey enough darts and they’ll beat the market. So says a draft article by Research Affiliates highlighting the simulated results of 100 monkeys throwing darts at the stock pages in a newspaper. The average monkey outperformed the index by an average of 1.7 percent per year since 1964. That’s a lot of bananas!
Any Monkey Can Beat the Market
I think the Fama-French crowd will approve of this article.
Rick Ferri
Rick Ferri wrote:In their yet-to-be-published article, the company randomly selected 100 portfolios containing 30 stocks from a 1,000 stock universe. They repeated this processes every year, from 1964 to 2010, and tracked the results
Rick Ferri wrote:It also helped that the 30 stocks in the monkey portfolio were equally weighted by Research Affiliates. This technique reduced the average market cap relative to the cap weighted index and helped boost the return. In addition, equal weighting “tilted” the portfolio toward value stocks, which earned a higher return than growth stocks over the 1964 to 2011 period.
The trio’s analysis of a random selection of stocks from the S&P 500 over the past 40 years found an equal-weighted portfolio generated an annual return 271 basis points above that of a value-, or market capitalisation-weighted portfolio,..The paper concluded that 58 per cent of the outperformance vis a vis the value-weighted portfolio stemmed from an “excess systematic component” driven by the equally weighted portfolio’s greater exposure to smaller and value stocks, factors long shown to lead to outperformance over a cycle. The remaining 42 per cent stems from “alpha”, or excess returns generated by the monthly rebalancing required to maintain equal weights, which is a contrarian strategy involving buying the losers and selling the winners.
SP-diceman wrote:The 5 Factor Model?
Market
Size
Value
Momentum
Monkeys
NAVigator wrote:Sadly this experiment may never again be repeated. It is not because of the use of monkeys or a shortage of darts. Rather, a newspaper with printed stock pages is becoming exceedingly rare.![]()
Jerry
Call_Me_Op wrote:Doesn't this suggest that buying a holding a large group of randomly-selected stocks is better than using an index fund - as long as you can keep your trading cost very low?
More Please wrote:Dear Santa,
Please bring me a monkey for Christmas. I've been good (for the most part).
In their yet-to-be-published article, the company randomly selected 100 portfolios containing 30 stocks from a 1,000 stock universe. They repeated this processes every year, from 1964 to 2010, and tracked the results.
The process replicated 100 monkeys throwing darts at the stock pages each year. Amazingly, on average, 98 of the 100 monkey portfolios beat the 1,000 stock capitalization weighted stock universe each year.
From 1964 to 2011, the annualized return for the 1,000 stocks used by Research Affiliates was 9.7percent.
The other 970 stocks made up 60 percent by capitalization weight and their return was 10.5 percent annually.
pkcrafter wrote:Wait a minute. Stop the music!
First off there is this:In their yet-to-be-published article, the company randomly selected 100 portfolios containing 30 stocks from a 1,000 stock universe. They repeated this processes every year, from 1964 to 2010, and tracked the results.
Ha-ha, they didn't actually use monkeys. They simulated monkeys!
The process replicated 100 monkeys throwing darts at the stock pages each year. Amazingly, on average, 98 of the 100 monkey portfolios beat the 1,000 stock capitalization weighted stock universe each year.
This is impossible.
From 1964 to 2011, the annualized return for the 1,000 stocks used by Research Affiliates was 9.7 percent. The 30 largest companies in the 1000 made up about 40 percent of the capitalization weight, but their return was only 8.6 percent annually. The other 970 stocks made up 60 percent by capitalization weight and their return was 10.5 percent annually.
If the highest possible return was 10.5 and the simulated monkeys outperformed the index by 1.7%, their average return was 11.4%. That is higher than the highest possible return, even if all small caps were chosen.
Hey, hey, we're the monkees
And people say we monkey around,
But we're too busy investing
To put anybody down.
grabiner wrote:pkcrafter wrote:Wait a minute. Stop the music!
First off there is this:In their yet-to-be-published article, the company randomly selected 100 portfolios containing 30 stocks from a 1,000 stock universe. They repeated this processes every year, from 1964 to 2010, and tracked the results.
Ha-ha, they didn't actually use monkeys. They simulated monkeys!
The process replicated 100 monkeys throwing darts at the stock pages each year. Amazingly, on average, 98 of the 100 monkey portfolios beat the 1,000 stock capitalization weighted stock universe each year.
This is impossible.
The monkeys were not cap-weighted; the average monkey picked an equally weighted portfolio, and since mid-cap stocks outperformed small-cap stocks, the monkeys had an advantage. And that also explains the following:From 1964 to 2011, the annualized return for the 1,000 stocks used by Research Affiliates was 9.7 percent. The 30 largest companies in the 1000 made up about 40 percent of the capitalization weight, but their return was only 8.6 percent annually. The other 970 stocks made up 60 percent by capitalization weight and their return was 10.5 percent annually.
If the highest possible return was 10.5 and the simulated monkeys outperformed the index by 1.7%, their average return was 11.4%. That is higher than the highest possible return, even if all small caps were chosen.
The 10.5% return is still cap-weighted, but from the 970 stocks which were not the 30 largest. The true mid-cap stocks earned more than the large-but-not-giant stocks.
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