The purpose of this study is to assess the diversification benefits resulting from international asset allocation. In this study, we examine Capital Asset Pricing Model (CAPM) in its international context (ICAPM) using the monthly equity returns for 26 countries (18 developed and 8 emerging...

We estimate conditional multifactor models over a large cross-section of stock returns matching 25 CAPM anomalies. Using conditioning information associated with different instruments improves the performance of the Hou, Xue, and Zhang (2015, HXZ) and Fama and French (2015, 2016, FF) models. The...

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...

This study provides new evidence on the impact of climate physical risk (as measured by the Global Climate Risk Index (CRI) from Germanwatch) on stock market returns. Specifically, a panel model with fixed effects is estimated using annual data from 2007 to 2021 for a set of 65 countries as well...

The evaluation of hedge fund performance is challenging given the flexible nature of hedge funds' strategies and their lack of operational transparency. As a result inference about skill is inevitably contaminated by the error in the benchmark model. To address this concern, we propose a model...

The intuitiveness and practicability of mean-variance portfolios largely depends on the accuracy of moment estimates, which are subject to large estimation errors and conditional on time. We propose a model accounting for factor dynamics in a Bayesian setting, in which the impact of estimation...

Hedge funds often hold illiquid assets whose true value is slowly reflected in reported returns. As a result, reported returns of a hedge fund can become a smoothed version of its true realized returns and, thus, can bias the evaluation of hedge fund performance. To address this problem, we...

This paper shows how uncertainty about the type of return distribution (distribution uncertainty) can be incorporated in asset allocation decisions by using a novel, Bayesian semiparametric approach. To evaluate the economic importance of distribution uncertainty, the extent of changes in...

We develop a new approach for evaluating performance across hedge funds. Our approach allows for performance comparisons between models that are misspecified – a common feature given the numerous factors that drive hedge fund returns. The empirical results show that the standard models used in...