A common challenge in portfolio risk analysis is that certain assets have shorter return histories than others. Unfortunately, many standard portfolio risk analysis techniques—including historical tail risk measurement, regime-dependent risk analysis, and bootstrapping simulations—require full return histories for all assets or risk factors. The author presents easy instructions on how to efficiently combine data for investments whose histories differ in length and offers a new model to better account for non-normal distributions.
Read the Complete Article in Financial Analysts Journal
Financial Analysts Journal
CFA Institute Premium Member Content
This is available to the following CFA Institute membership classes: CFA charterholders, Professionals, and Affiliates.