2015issue C0124-26
Spreading names is not a substitute for a ruin bound
Spreading holdings is treated as a popular risk habit, but market-wide pressure is not removed by adding names. The archive uses expected value and a per-trade loss cap as the controls that bound one outcome before entry, and it proposes a Monte Carlo check to test spreading against concentrating.
- Spreading holdings is a popular but undifferentiated risk habit, and the archive asks whether it actually lowers market risk.
- Systematic risk remains after names are spread. Idiosyncratic risk may shrink only while holdings stay weakly related, and those relationships tighten when prices trend together.
- Expected value is an unstable but usable control identity, and a per-trade loss cap is offered so position sizing can keep one outcome bounded before entry.
- A Monte Carlo simulation is proposed to test whether outcomes differ systematically when holdings are not spread.
Spreading names as a risk habit
Spreading holdings is treated as a popular but undifferentiated risk habit. The archive asks whether that habit actually lowers market risk.
Risk is introduced as the chance of losing part or all of a stake. Diversification, in this reading, means spreading capital across several holdings so each outcome is a smaller share of the final result.
Pooling many trials, as in insurance or a long sequence of coin tosses, is said to make odds easier to estimate because each trial's share of the result falls as the count rises. The same pooling logic is then applied to equities to test whether spreading names still reduces that chance.
What spreading does not remove
Market-wide declines are treated as systematic risk that spreading names does not remove. Idiosyncratic risk, a name-specific or sector-specific shock, may shrink only if holdings stay weakly related.
Those relationships tighten when prices trend together. Correlation instability is that tendency, and it weakens the independence assumed by spreading names.
When risk is defined as spreading
Defining risk through diversification is said to make the link between risk and spreading unmeasurable. The boundary between idiosyncratic risk and systematic risk is left unclear.
A given-back gain is still a loss
A gain that is later fully given back is framed as a real loss, not a wash. That example is used to show mental accounting around risk.
Expected value as a control identity
Expected value per trade is written as win probability times average win minus loss probability times average loss. Those inputs are described as unstable but still usable as a control identity.
The identity is used as a filter on whether a loss-and-size policy can stay bounded before entry.
A bound set before entry
A per-trade loss cap, illustrated at 3%, is offered so average loss cannot exceed that bound. Analysis is the scale, while position sizing and risk limits are the weights that can be set before entry.
Risk of ruin is the chance that a run of losses exhausts the account. It is treated here as the reason to cap stop distance and exposure from equity before a trade is placed.
Spreading as loss avoidance
Avoiding realized losses and taking winners early is described as the reverse of the expected-value identity. Risk is to be defined before entry so one outcome stays bounded. Spreading names is cast as avoiding losses rather than meeting that bound.
A proposed resampling check
A follow-on Monte Carlo simulation is proposed to test whether outcomes differ systematically when holdings are not spread. The check compares an explicit rule, such as spreading versus concentrating holdings, over many paths instead of one historical anecdote.
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