Asymmetric Risk
Updated 2026-08-22
INTRODUCTION
English translation pending.
CORE DEFINITION
Asymmetric risk describes exposures where the upside and downside are of very different magnitudes, producing positive convexity when losses are bounded and gains large, and negative convexity when gains are small and losses severe. The core claim is that the shape of the payoff distribution matters more than its mean, because a single large loss can end participation regardless of the average outcome. The qualification is that asymmetry is not the same as favourable odds: a positive-convexity bet can still be a bad one if it is overpriced, so the price paid must be assessed alongside the shape.
SCAFFOLDING EFFECT
Reduce cognitive load
- Payoff sketch: draw the gain and loss magnitudes before comparing expected values. - Convexity hunt: look for positions where the loss is bounded and the gain is not. - Fragility check: identify exposures where a small probability of a large loss is being held long term.
Anchor fast decisions
A bounded loss can be survived repeatedly, so a series of such bets can be continued until the rare large gain arrives. An unbounded loss ends the series, so its probability matters far more than its expected value suggests. Survival therefore depends on the shape of the exposure rather than on its average return, which is why negative convexity is dangerous even when it pays steadily.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Skin_in_the_Gameverified
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