The Kelly Criterion is the brilliant summation of a betting strategy first discovered by Information Theorist John Kelly. Kelly came up with a betting system which optimizes bankroll growth based upon known odds and a definite payout. If you can find an exploitable, repeatable edge, Kelly's system tells the maximum you should bet based upon that criteria.
Kelly Criterion Optimal Asset Allocation Calculator
Here's a calculator which applies the concepts in this post to come up with an allocation:
Using the Kelly Criterion with Your Portfolio
Extending Kelly a bit further (like Ed Thorp, author of two math bibles for the investor/bettor Beat the Dealer and Beat the Market, has done) we can do a bit of hand-waving and make it work for the stock market.
Some derivations of "Stock Market Kelly" involve using back-looking numbers such beta to approximate the continuous returns of securities. We're going to do it in a discrete way, and use discrete numbers for wins and losses.
The Kelly Criterion For Asset Allocation
Let's say that you're investing with a 10 year time-frame – you want to buy a house or retire, for example. You have an extra $100,000 and are trying to determine the best allocating between stocks and treasury bonds.
Let's try to calculate is your 'edge' and your 'odds'.
It's true: garbage in, garbage out. All we can do is take an educated guess and hope that it is close enough to reality to guide our choices. (See: past performance is no guarantee of future results.)
As they say, history doesn't repeat itself but it often rhymes.
Odds: The S&P 500 beats 10 Year Treasuries roughly 85% of the time over rolling 10 year periods. We'll then enter .85 for our odds of stock out-performance.
Edge: Edge is tough, but for arguments sake, let's use 5%.
Historically 5% is a decent choice; sometimes authors will take average earnings yield and subtract Treasury yield. Change it as you desire.
Using Odds and Edge to Optimize Asset Allocation
'Normal' or 'Full' Kelly is
\frac{probability*(1+odds\ offered)-1}{odds\ offered}
We need to modify the Kelly Criterion a bit to take into effect the fact that generally a security won't 'go to zero'. (Even a losing 'bet' almost always has some value in the stock market).
We simplify the equation to
\frac{expected\ value}{odds\ offered}
Here's the math using the assumptions in the previous section:
\frac{expected\ value}{odds\ offered} = \\~\\ \frac{.85*.05*(5\%) - .15*.02*(-2\%)}{79\%} = \\~\\ \frac{0.0395}{5\%} = 79\%
So, in this theoretical portfolio with your historic estimate of odds and edge, aim for 79% stocks and 21% bonds. The standard disclaimer applies: these numbers are guesses, so adjust your expectations accordingly.
For traditional Kelly applications, also try the Kelly Calculator for bet sizing.