2-9: The fundamental law of active portfolio management

Grinold's fundamental law

This fundamental law of active portfolio management describes performance in the terms of skill and breath. These two factors create a ratio wherein you can increase your performance as an active portfolio manager by increasing your skill or you can increase the number of opportunities to test your skill. A slide from the lectures is provided below:

grinolds-fundamental-law

Coin flip casino

This lecture discusses some scenarios using a coin flip casino, where risk and reward are compared for different betting strategies on the flip of a coin. Fortunately for us, we know that the coin has a 0.51% chance of landing on heads.

The two betting options are:

  1. Bet $1000 on one coin flip
  2. Bet $1 on one-thousand coin flips

Obviously, betting $1 on one-thousand coin flips is the best option - this lecture uses this teaching point to demonstrate calculating expected value, probability, and risk via standard deviation.

Expected value

expected-return

Probability

probability

Standard deviation

standard-deviation

Sharpe ratio

sharpe-ratio

Observations

Going back to Grinold's fundamental law, if we take the sharpe ratio of the multi-bet and the single-bet and the number of bets, 1000, we encounter that this follows Grinold's fundamental law. See below for evidence from the lecture:

observations

So the following are some good observations:

  • Sharpe ratio grows as the square root of breadth increases.
  • Sharpe ratio grows as alpha increases.

Information ratio

Information Ratio (IR) is like the sharpe ratio for excess return, alpha. The equation broken down is in the lecture slide below:

information-ratio

Information coefficient and breadth

Information coefficient (IC) is the correlation of an active manager's forecasts to returns. Breadth (BR) is the number of trading opportunities per year.