How much leverage should you use?

Maximizing growth without risking bankruptcy

Many hedge fund disasters come not from making the wrong bets — that happen to
the best of us — but from making too big a bet by overleveraging. On the other
hand, without using leverage (i.e. borrowing on margin to buy stocks), we often
cannot realize the full growth potential of our investment strategy. So how much
leverage should you use?

Surprisingly, the answer is well-known, but little practiced. It is called the
Kelly criterion, named after a mathematician at Bell Labs. The leverage f is
defined as the ratio of the size of your portfolio to your equity. Kelly
criterion says: f should equal the expected excess return of the strategy
divided by the expected variance of the excess return, or

f = (m-r)/s2

(The excess return being the return m minus the risk-free rate r.)

This quantity f looks like the familiar Sharpe ratio, but it is not,
since the denominator is s2, not s as in the Sharpe ratio. However, if
you can estimate the Sharpe ratio, say, from some backtest results of a
strategy, you can also estimate f just as easily. Suppose I have a
strategy with expected return of 12% over a period with risk-free rate being 4%.
Also, let’s say the expected Sharpe ratio is 1. It is easy to calculate f,
which comes out to be 12.5.

This is a shocking number. This is telling you that for this strategy, you
should be leveraging your equity 12.5 times! If you have $100,000 in cash to
invest, and if you really believe the expected values of your returns and Sharpe
ratio, you should borrow money to trade a $1.2 million portfolio!

Of course, estimates of expected returns and Sharpe ratio are notoriously
over-optimistic, what with the inevitable data-snooping bias and other usual
pitfalls in backtesting strategies. The common recommendation is that you should
halve your expected returns estimated from backtests when calculating f.
This is often called the half-Kelly criterion. Still, in our example, the
recommended leverage comes to 6.25 after halving the expected returns.

Fixing the leverage of a portfolio is not as easy or intuitive as it sounds.
Back to our $100,000 example. Say you followed the (half-) Kelly criterion and
bought a portfolio worth $625,000 with some borrowed money. The next day,
disaster struck, and you lost 5%, or $31,250, of the value of your portfolio. So
now your portfolio is worth only $593,750, and your equity is now only $68,750.
What should you do? Most people I know will just stick to their guns and do
nothing, hoping that the strategy will “recover”. But that’s not what the Kelly
criterion would prescribe. Kelly says, if you want to avoid eventual bankruptcy
(i.e. your equity going to zero or negative), you should immediately further
reduce the size of your portfolio to $429,688. Why? Because the recommended
leverage, 6.25, times your current equity, $68,750, is about $429,688.

Thus Kelly criterion requires you to sell into a loss (assuming you have a
long-only portfolio here), and buys into a profit — something that requires
steely discipline to achieve. It also runs counter to the usual mean-reversion
expectation. But even if you strongly believe in mean-reversion, as no doubt
many of the ruined hedge funds did, you need to consider protecting you and your
investors from the possibility of bankruptcy before the market reverts.

Besides helping you to avoid bankruptcy, the Kelly criterion has another
important mathematically proven property: it is a “growth-optimal” strategy.
i.e. if your goal is to maximize your wealth (which equals your initial equity
times the maximum growth rate possible using your strategy), Kelly criterion is
the way.

Notice this goal is not the same as many hedge managers’ or their investors’
goal. They often want to maximize their Sharpe ratio, not growth rate, for the
reason that their investors want to be able to redeem their shares at any time
and be reasonably sure that they will redeem at a profit. Kelly criterion is not
for such investors. If you adopt the Kelly criterion, there may be long periods
of drawdown, highly volatile returns, low Sharpe ratio, and so forth. The only
thing that Kelly guarantees (to an exponentially high degree of certainty), is
that you will maximize the growth potential of your strategy in the long run,
and you will not be bankrupt in the interim because of the inevitable short-term
market fluctuations.

For further reading:

Poundstone, William. (2005).

Fortune’s Formula
. New York: Hill and Wang.

Thorp, Edward O. (1997; revised 1998). The Kelly Criterion in Blackjack,
Sports Betting, and the Stock Market
.


www.bjmath.com/bjmath/thorp/paper.htm


Ernest Chan, Ph.D.
is a quantitative trader and consultant who helps his clients
implement automated, statistical trading strategies. He can be reached through
www.epchan.com. Ernie has worked as a
quantitative researcher and trader in various investment banks (Morgan Stanley,
Credit Suisse First Boston, Maple Securities) and hedge funds (Mapleridge
Capital, Millennium Partners, MANE Fund Management) since 1996. He has a Ph.D.
in physics from Cornell University.