Quote from psytrade:
It is kinda dumb. Its a bit like a cab driver asking if the speed limit will help him attract more customers...
That being said:
You would need statistical information for the distribution of your trades payoffs and losses. This would effect the optimal bet size that kelly C would return.
You would need to consider the relationship of other bets (or signals) to each other if their is a mathematical relationship.
and you would need to know your max pain - what is the max loss for the whole portfolio during a situation where the Market goes against you in an episode of risk aversion or some other highly correlated event....
People like Ralph Vince are working on a more advanced version of something like KC called the leverage space model. It attempts to address the issues of the distribution of trade payoffs and their correlation in the portfolio. They also attempt to understand the optimal position size as the positions in the portfolio change continuously because price is changing continuously.... but for me its very theoretical and a work in progress for their model.
I guess what he tries to address is namely the margin - that is...you can lose more than your initial "bet", something the kc has been criticized on.
Anyway, some time ago..an year or 2 - I was KIND OF obsessed with the criterion, partly because it was advertised heavily by Ed Thorp and because when I decided to backtest the KC on a simple computer model of "monte carlo" games - it turned out to be indeed optimal. Basically, I don't want to sound as I am bragin' or something, so i won't post the computer code and mathematical formulas during my "kelly criterion hype", but you can see what I've written here in wilmott...some time ago:
http://www.wilmott.com/messageview.cfm?catid=3&threadid=71174
This gives (I dare to say...) a very good background on Kelly + 2 simple programs that I have written.
Anyway...the issue remains the same:
1. You need to know your maximum payoff - in other words when you buy a stock or an option the maximum is in theory...unlimited. Which is...NOT for kelly.
2. You need to know the probability of winning:
OK, here the KC behaves better, because let's face it...you can't even enter a trade unless you have some pretty good idea of your chances of winning.
3. The odds shouldn't change:
Now this is a problem - for instance...suppose you buy a stock hoping to win with payoff 30%...you win - and then you decide to buy again and estimate your payoff of 10% - according to the kelly criterion such situation can lead to ruin...why? See the so called 'Proebstring paradox' for explanation.
Basically, in order for a money management system to be successfull a few things should be designed, which the KC lacks:
1. Make the system multidimensional: In other words - the system must hold even if the odds change when you open and close positions over and over again...
2. Is the log optimal? Again...according to some financial professor that I read online - the Log function (kelly criterion) is not optimal because it assumes that MOST of the time you will be richer - but if you bet less than kelly - then not most of the time...but at some point of time you will be much, much richer than a kelly investor and hence you can stop and remain richer - which is the right thing to do.
3. Make the system deal with margin and hedging - in other words...the system must tell you how much you need to invest given a loss over your initial 'bet' and it must tell you how much to bet given hedging (e.q. - you have bought a put option or set a stop loss order).
So these are just my 2 cents - the KC has many disadvantages. For (at least an attempt) on how to use the kc in the stock market, you can read this paper by Thorp: "The kelly criterion in coin tossing, blackjack and the stock market".