Financial experts combined different mathematical models to predict the risk of investments more accurately. By using various distributions to account for the unusual patterns in asset returns, they found that including fat-tailed distributions improved the accuracy of risk forecasts. However, adding skewness did not make a significant difference in the predictions. This research helps investors make better decisions about managing their investments.