Kelly Criterion

AdvancedRisk Management2 min read

Quick Definition

A formula for determining the optimal bet size that maximizes long-term growth rate while accounting for both the probability and magnitude of wins and losses.

What Is Kelly Criterion?

The Kelly Criterion, developed by John L. Kelly Jr. in 1956, calculates the optimal fraction of your capital to risk on each bet or trade to maximize long-term compound growth.

Formula: Kelly % = W - [(1 - W) / R]

Where: W = Win probability, R = Win/Loss ratio (average win ÷ average loss)

Example Calculation:

  • Win probability: 55% (W = 0.55)
  • Average win: $200, Average loss: $100 (R = 2.0)
  • Kelly % = 0.55 - (0.45 / 2.0) = 0.55 - 0.225 = 0.325 = 32.5%

Kelly Criterion Outcomes:

Fraction of KellyExpected GrowthRisk Level
Full Kelly (1.0x)Maximum growthVery volatile
Half Kelly (0.5x)75% of max growthMuch smoother
Quarter Kelly (0.25x)50% of max growthConservative
Over Kelly (>1.0x)Growth DECREASESDangerous

Why Half Kelly Is Popular:

  • Full Kelly produces extreme drawdowns
  • Input estimates (win rate, payoff) are uncertain
  • Half Kelly gives ~75% of the growth with ~50% of the volatility
  • Over-betting (above full Kelly) actually reduces long-term growth

Application to Investing:

  • Position sizing for concentrated portfolios
  • Determines maximum allocation per stock based on edge
  • Prevents over-concentration in single ideas
  • Used by famous investors like Warren Buffett (conceptually) and Edward Thorp (mathematically)

Key Insight: The Kelly Criterion proves that overbetting is worse than underbetting. If you're unsure about your edge, bet less than Kelly suggests.

Formula

Formula

f* = W - (1-W)/R

Kelly Criterion Example

  • 1With 60% win rate and 2:1 payoff ratio, Kelly suggests risking 40% of capital — most investors use half-Kelly (20%)
  • 2Edward Thorp used Kelly Criterion to beat blackjack and later to manage a highly successful hedge fund