3.6 Gambler's ruin
Motivation
Kelly bettors never go broke in theory because they bet a fraction of current wealth. Real traders often bet fixed amounts (one lot, a fixed rupee risk), and a fixed bet on finite capital can be ruined. The gambler's-ruin problem is the exact model.
Ruin probability#
Setup
A gambler's capital, in units of the bet, is a random walk on with w.p. and w.p. , started at and stopped at . Ruin is ; is a target at which the gambler quits. Let and .
Proposition 3.11ruin probability
Letting (no target): if , and if .
Proof 1difference equation
Conditioning on the first step, for , with , . Try : , whose roots are and (their product is and is a root since ). For the roots are distinct, so . The boundary conditions give and , so , , which is (3.16). For the root 1 is double, , and the boundary conditions give . The limits as : if , ; if , divide numerator and denominator by to get ; if , .
Proof 2optional stopping
is a martingale: . The stopping time is a.s. finite: from any state, consecutive up-steps end the game, so . The stopped process is bounded (by ), so optional stopping applies: . Solve for .∎
Expected duration#
Proposition 3.12expected duration
is
Proof
, . A particular solution of the inhomogeneous equation is (check: ). The general solution adds ; the boundary conditions give and , which yields (3.17). For , a particular solution is , and with the boundary conditions gives . Alternatively, is a martingale, and optional stopping (justified since ) gives .∎
Ruin with and without an edge#
Worked example 3.6.1roulette
On a European roulette wheel a bet on red wins with probability . A player with 10 units who stops at 20 is ruined with probability ; the game lasts 97.7 spins on average. With 50 units and a target of 100, ruin probability rises to 0.937. Against a negative edge, small bets lose more surely than large ones: the law of large numbers works for the house. (Bold play, one bet of everything, minimises ruin probability in a subfair game; Dubins & Savage 1965.)
Worked example 3.6.2a trader with an edge
A trader wins 55% of fixed-size bets at even money. With capital of 5 bets and no target, ruin probability is . With 20 bets, 0.018. If the edge is only 51%: 0.449 with 20 bets, 0.018 with 100 bets. Ruin probability decays geometrically in capital measured in bet units, at a rate set by the edge. A thin edge needs deep capital.
Practitioner notes
- "Capital in bet units" is the variable that matters. A ₹2 lakh account trading one Nifty futures lot (contract value about ₹15.6 lakh at 24,000 × 65, as of Nov 2026) with a 1% stop risks ₹15,600 per trade: about 13 units of risk. That is a small .
- In a subfair game (), ruin is certain without a target, and expected time to ruin from units is (let in (3.17)). Transaction costs turn many zero-edge strategies into subfair games (3.10.4).