Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...

This paper attempts to measure the risk and return relationship in Dhaka Stock Exchange (DSE) of Bangladesh. Applying Single Index Model, the study reports statistically significant positive relationship between risk and return both at the individual security level and at the portfolio level....

We present a method for extracting the market risk premium from stock and option data and examine its validity. We extend Duan and Zhang's (2014) model to estimate the projected risk aversion coefficient using more information for the discrepancy of the physical from the risk-neutral...

This chapter surveys recent econometric methodologies for inference in large dimensional conditional factor models in finance. Changes in the business cycle and asset characteristics induce time variation in factor loadings and risk premia to be accounted for. The growing trend in the use of...

Option-implied moments, like implied volatility, contain useful information about an underlying asset's return distribution, but are derived under the risk-neutral probability measure. This paper shows how to convert risk-neutral moments into the corresponding physical ones. The main theoretical...

We develop a finite-sample procedure to test for mean-variance efficiency and spanning without imposing any parametric assumptions on the distribution of model disturbances. In so doing, we provide an exact distribution-free method to test uniform linear restrictions in multivariate linear...

We study the problem of detecting structural instability of factor strength in asset pricing models for financial returns. We allow for strong and weaker factors, in which the sum of squared betas grows at a rate equal to and slower than the number of test assets, respectively: this growth rate...

In this article we examine the risk factors that help explain long/short equity (LSE) mutual fund performance. We show that for most LSE mutual funds, 50%-80% of their returns can be explained using common factors such as capitalization, book-to-value ratio, dividend yield, and volatility. The...