In this Research Insight, we present a methodology for attributing the predicted beta of an asset or portfolio to an underlying set of factors. This provides investors with important insights into the drivers of predicted beta for a particular portfolio. We also present a technique for decomposing the cross-sectional dispersion of stock-level predicted betas. This analysis provides useful insight into how changing factor volatilities and correlations affect cross-sectional differences in the...