EVALUATION OF LINEAR ASSET PRICING MODELS BY IMPLIED PORTFOLIO PERFORMANCE
Scholarly Editions
Overview
Research
View All
Overview
abstract
We adapt the metric of Kandel and Stambaugh (1995) to evaluate linear asset pricing models. The “KS-ratio” criterion rates a model’s usefulness based on the mean portfolio return a mean-variance decision maker obtains for any variance choice by using the model for optimal portfolio decisions. It is equivalent to a cross-sectional GLS R-square criterion and to a measure of minimum distance between the asset and factor frontiers. We assess the KS-ratio compared to the HJ-distance and ad hoc goodness-of-fit evaluation criteria with simulated returns. We then apply the various criteria to evaluate nine prominent asset pricing models with actual data.