Operational risk is being considered as an important risk component for financial institutions as evinced by the large sums of capital that are allocated to mitigate this risk. Therefore, risl measurement is of paramount concern for the purposes of capital allocation, hedging, and new product development for risk mitigation. We perform a comprehensive evaluation of commonly used methods and introduce new techniques to measure this risk with respect to various criteria. We find that our newly introduced techniques perform consistently better than the other models we tested.
exploratory data analysis operational risk g-and-h distribution goodness-of-fit skewness-kurtosis risk measurement extreme value theory peak-over-threshold method generalized Pareto distribution truncated lognormal distribution loglogistic distribution