Quantitative • Risk Management

The Kelly Criterion: Mathematical Position Sizing & Compounding

Calculating optimal risk fractions ($f^*$), avoiding the risk of ruin, and implementing Fractional Kelly in institutional trading.

Author: CMD Wire Institutional Research
Updated: August 2026 • 6 min read

1. The Mathematics of Optimal Growth

Developed by Bell Labs scientist John L. Kelly Jr. in 1956, the Kelly Criterion is a mathematical formula that calculates the optimal fraction of capital to risk on a series of positive-expected-value investments to maximize the long-term compound growth rate of wealth:

f^* = rac{b \cdot p - q}{b} = rac{p(b + 1) - 1}{b}

Where $f^*$ is the fraction of portfolio capital to bet, $b$ is the net odds (win/loss payoff ratio), $p$ is the probability of winning, and $q = 1 - p$ is the probability of losing.

2. Fractional Kelly: Managing Volatility & Drawdowns

While "Full Kelly" mathematically maximizes terminal wealth, it generates extreme portfolio volatility and severe drawdowns (often exceeding 50% to 80%).

Institutional quantitative hedge funds utilize Fractional Kelly (Half-Kelly or Quarter-Kelly, e.g. $0.5 imes f^*$), which captures 75% to 90% of maximum geometric compounding while slashing portfolio variance and drawdown risk by more than half.

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