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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.
Entries in this reading1 entry

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.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
6 of 24 in the Risk of ruin track
19951-11 pp.Next on Risk of ruinFilter leverage by sequence-loss oddsAfter a closed long or short sequence with no external cash flows, ending equity equals starting equity multiplied by the product of one plus leverage times each trade return.
All readings on this track · 24 readings
  1. 1985Forced-close odds from monthly edge and leverage
  2. 1986Constructing a pre-entry risk filter on price-ratio grids
  3. 1991Ratchet the halt floor and stage exposure against cash
  4. 1992Sizing capital from degraded records and volatility
  5. 1992Filter size by expected value and ruin
  6. 1995Risk of ruin as a pre-entry position filter
  7. 1995Filter leverage by sequence-loss odds
  8. 1996Grading track records by drawdown, expected value, and ruin
  9. 1998When quieter returns lose their survival edge
  10. 1999Loss response versus a precommitted trading process
  11. 1999Reauthorize ruin and drawdown filters after a winning stretch
  12. 2000Sold premium, survivorship, and ruin bounds
  13. 2001Monte Carlo drawdown risk and volatility position sizing
  14. 2001Alertness is a size filter, not a mood
  15. 2002A constant percent risk bound beats a higher win rate
  16. 2010Risk of ruin with fractional and reserve betting
  17. 2014Payout identity, expectancy, and path-dependent ruin
  18. 2015Spreading names is not a substitute for a ruin bound
  19. 2015Prestige labels versus one testable trade procedure
  20. 2015Closed-trade quality screens before sizing risk
  21. 2019Size mini futures from drawdown and leftover margin
  22. 2019Starting account size as a survival filter
  23. 2019Pre-entry ruin and volatility caps for short options
  24. 2020Forced margin, stop-loss, and ruin risk in 2020
All 48 readings tagged Risk of ruin
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