2000issue C091-7
Sold premium, survivorship, and ruin bounds
A smooth run of daily credits can be a forensic clue that the book is sold premium. Reconstruct the payoff, send it through rising and falling path sets, and set a ruin cap before the streak is allowed to increase size.
- Sellers treated infrequent payoffs as expensive lottery tickets and booked incoming premium as profit, which made out-of-the-money option contracts the most mispriced class in the early sample.
- A long sequence of small gains can encourage larger size, then a single loss large enough to erase the book.
- Collected gains without returned losses are a weak filter, because a winning path can attract capital just before ruin.
- A budgeted maximum loss over an extended period is the stated alternative to stops on a sold-premium, negative-carry book.
A smooth daily credit is a clue
Editorial reading: treat a smooth daily credit as a forensic clue. Reconstruct whether the book is sold premium, then demand a multi-regime path set and a pre-trade ruin cap before the streak is allowed to increase size.
In the historical workflow, out-of-the-money option contracts were the most mispriced class in the early sample, because sellers treated infrequent payoffs as expensive lottery tickets and booked incoming premium as profit.
The streak that invites size
Selling option premium can produce a long sequence of small gains that encourages larger size, then a single loss large enough to erase the book.
A product that pays 1 unit on each of 10 days and then loses 12 on the eleventh can have a higher chance of showing a profit than a loss while still having a negative expectation.
Collected gains are a weak filter
A four-year winning bonus path followed by a fifth-year wipeout can build a track record that attracts capital just before ruin, so collected gains without returned losses are a weak filter.
Unusual moves and engineered exposure
Daily profit-and-loss noise does not scale linearly with move size. A market move 10 times larger than usual is not 10 times more informative and may carry closer to 1,000 times the information.
A single engineered exposure measure cannot describe the distribution of future unusual events, because those events sit outside the parametric history used to compute the measure.
Path sets, not survivors
Trying every lookback window until a back-tested rule wins, or judging a method only from its survivors, overstates skill. The full starter population and both rising and falling regimes are needed to see whether the rule is a hidden short-option book.
Stops on a negative-carry book
Stops on sold-premium books often fail in whippy markets because a sequence of stops can force buybacks. A budgeted maximum loss over an extended period is the stated alternative for a negative-carry book.
The same payoff in a cash name
Holding an expensive name through a speculative buildup can mimic a short-option payoff: steady marks during the rise, then a loss far larger than a half-cut once the rare break arrives.
Who can survive a frequency error
A buyer of cheap convexity can be wrong about event frequency and still survive if the payoff is large. A seller cannot afford a probability error, because one unmatched rare event can exhaust the account in minutes.
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