Return Distribution Skewness

Analysis

Return Distribution Skewness, within cryptocurrency and derivatives markets, quantifies the asymmetry of potential returns around the expected value, revealing if negative returns are more or less probable than positive returns of equivalent magnitude. This metric is crucial for assessing downside risk, particularly in volatile asset classes like digital assets where extreme events are commonplace. Understanding skewness informs option pricing models, as it directly impacts the demand for out-of-the-money put options—instruments used to hedge against market declines. Consequently, a negative skew suggests investors are willing to pay a premium for downside protection, indicating heightened risk aversion.