Advanced tree-based estimation methods, such as random forest, are ensembles of regression trees that are built using random subsets of explanatory variables. However, because of the random selection process, relevant variables may not be considered in some regression trees, thereby reducing...

It is well known that volatility is time-varying and clustered. However, few studies have explored the information content of volatility clustering and its implications for investors’ risk aversion. This information is particularly important in turbulent periods, such as financial crisis. We...