1995issue C011
Risk of ruin as a pre-entry position filter
The trade with the highest expected return is frequently not the one to take. Risk of ruin turns profit objective, stop-loss, win probability, and trading capital into a 0% to 100% filter on position stake before entry.
- The trade with the highest expected return is frequently not the trade to recommend once dollar risk, win and loss probabilities, and trading capital are included.
- Construction must cover consecutive losses, not only one unbearable single-trade loss.
- Position stake should be set with the most pessimistic long-term outcome in view, so trading capital is not exhausted before it can grow.
- Risk of ruin estimates, from 0% to 100%, the chance that trading capital is eventually lost, and a construction target near 1% is presented as desirable.
Expected return is not a sufficient reason
Risk of ruin is an estimate, from 0% to 100%, of the chance that trading capital is eventually exhausted. It is used as a filter that bounds loss or exposure before a trade is placed and while it remains open.
The trade with the highest expected return under a price-probability forecast is frequently not the trade to recommend once other factors are included. A potentially large payoff can still be unsuitable when the dollar risk is weighed against win and loss probabilities and the trader's total capital.
Expected return is the average payoff implied by forecast prices and probabilities. It is not by itself a sufficient reason to take the trade.
Consecutive losses can exhaust trading capital
The construction problem is not only one unbearable single-trade loss, but also the chance that several consecutive losses occur. Consecutive losses are a run of losing outcomes that can wipe out an account even when the setup itself is favorable.
Position stake is the dollar amount placed at risk on one trade. It should be set with the most pessimistic long-term outcome in view, and sized so the most pessimistic long-term sequence still leaves the account intact.
A favorable game can still run out of units
In a 50% coin-toss example that pays 1.50 on a win and costs 1.00 on a loss, three or more losses in a row can still appear within about a dozen trials.
Starting the same favorable game with 20 units can look acceptable, while starting with 3 or 4 units can make play unwise because capital may be exhausted before it can grow.
Four inputs set the ruin estimate
The estimate is determined from four inputs: the profit objective, the stop-loss, the win probability, and the trading capital.
Profit objective is the planned dollar gain if the trade finishes as a win. Stop-loss is the planned dollar loss if the trade finishes as a loss. Win probability is the chance that a trade ends as a win rather than a loss. Trading capital is the account equity available to absorb losses, and the stock against which a single-trade stake is judged.
Risk of ruin estimates the probability, from 0% to 100%, that a trader eventually loses all trading capital. Keeping risk of ruin as low as possible, such as near 1%, is presented as a desirable construction target.
The estimate bounds the position before entry
Used this way, the finished estimate is a filter that bounds loss or exposure before a trade is placed and while it remains open. The position stake is judged against trading capital so a realistic run of consecutive losses does not exhaust the account first.
All readings on this track · 24 readings
- 1985Forced-close odds from monthly edge and leverage
- 1986Constructing a pre-entry risk filter on price-ratio grids
- 1991Ratchet the halt floor and stage exposure against cash
- 1992Sizing capital from degraded records and volatility
- 1992Filter size by expected value and ruin
- 1995Risk of ruin as a pre-entry position filter
- 1995Filter leverage by sequence-loss odds
- 1996Grading track records by drawdown, expected value, and ruin
- 1998When quieter returns lose their survival edge
- 1999Loss response versus a precommitted trading process
- 1999Reauthorize ruin and drawdown filters after a winning stretch
- 2000Sold premium, survivorship, and ruin bounds
- 2001Monte Carlo drawdown risk and volatility position sizing
- 2001Alertness is a size filter, not a mood
- 2002A constant percent risk bound beats a higher win rate
- 2010Risk of ruin with fractional and reserve betting
- 2014Payout identity, expectancy, and path-dependent ruin
- 2015Spreading names is not a substitute for a ruin bound
- 2015Prestige labels versus one testable trade procedure
- 2015Closed-trade quality screens before sizing risk
- 2019Size mini futures from drawdown and leftover margin
- 2019Starting account size as a survival filter
- 2019Pre-entry ruin and volatility caps for short options
- 2020Forced margin, stop-loss, and ruin risk in 2020