Research method
Risk of ruin
Risk of ruin is a canonical archive-taxonomy method; this registry entry defines its inputs, output and use boundary.
- Output
- Research filter
- Input
- Account equity, volatility, stop distance and exposure
- Horizon
- Before entry and throughout the position
- Best use
- Keep a loss or exposure decision bounded before a trade is placed.
- Input: Account equity, volatility, stop distance and exposure.
- Output: filter.
- Use boundary: Keep a loss or exposure decision bounded before a trade is placed.
The graph4
How the method is built, and where it has been read
Depends on
Often reviewed together
Optimal f sizing4 readings
Often reviewed together
Monte Carlo simulation5 readings
Often reviewed together
Expected value5 readings
Often reviewed together
Drawdown limit9 readings
Read in the archive24 of 48 readings
1985Forced-close odds from monthly edge and leverage1986Constructing a pre-entry risk filter on price-ratio grids1988Modified-martingale progression lists and ruin bounds1988Limited-risk labels versus exposure and ruin1990Recovery sizing as a series procedure1991Ratchet the halt floor and stage exposure against cash1992Sizing capital from degraded records and volatility1992Filter size by expected value and ruin1992Risk of ruin and exposure caps as a pre-trade filter1993Evaluating filter-trigger trailing exits after breakouts1993Constructing price-change Markov transition matrices1994Starting capital from worst-case portfolio walk-forwards1994Bound small-account risk before adding leverage1995Risk of ruin as a pre-entry position filter1995Filter leverage by sequence-loss odds1996Grading track records by drawdown, expected value, and ruin1998When quieter returns lose their survival edge1999Pre-trade size filters for expectancy and ruin1999Loss response versus a precommitted trading process1999Reauthorize ruin and drawdown filters after a winning stretch2000Sold premium, survivorship, and ruin bounds2001Monte Carlo drawdown risk and volatility position sizing2001Bounded crash risk with capital units and optimal f2001Alertness is a size filter, not a mood
This registry entry describes a research method. It is not investment advice and does not make a performance claim.