Fat-Tailed Events

Risk

Fat-tailed events, within cryptocurrency and derivative markets, represent deviations from normal distributions, indicating a higher probability of extreme value outcomes than traditional models predict. These occurrences challenge assumptions of Gaussianity prevalent in many financial models, necessitating robust risk management frameworks. Consequently, standard deviation alone proves insufficient for accurately quantifying potential losses, demanding consideration of tail risk measures like Value-at-Risk (VaR) and Expected Shortfall (ES). The impact of these events is amplified by the inherent leverage often employed in derivatives trading, and the interconnectedness of digital asset markets.