We investigate whether the distributional characteristics of corporate bonds predict the cross-sectional differences in future bond returns. The results indicate a significantly positive (negative) link between volatility (skewness) and expected returns, whereas kurtosis does not make a robust...

Standard factor models imply a linear relationship between expected returns on assets and their factor exposures. We provide the asymptotic properties of factor-model-based expected return estimators for individual assets and show that exploiting this linear relationship leads to precision gains...

This paper builds an empirical model to connect option-implied cumulants with expected risk premia through latent risk factors. Expected risk premia on individual stocks are estimated by applying a new partial least squares-based method on risk-neutral cumulants at different orders and various...

We document the predictive ability and economic significance of global economic policy uncertainty for U.S. equity returns. After orthogonalizing global economic policy uncertainty (global EPU) with respect to the U.S. EPU, we find that it has significant predictive power for aggregate stock...

We use a Markov chain model to evaluate pure persistence in hedge fund returns. We study two forms of pure persistence: absolute persistence and persistence with respect to the high water mark, accounting for the size of drawdowns. We find that hedge funds in general exhibit persistence in...

This paper investigates the extent to which market risk, residual risk, and tail risk explain the cross sectional dispersion in hedge fund returns. The paper introduces a comprehensive measure of systematic risk (SR) for individual hedge funds by breaking up total risk into systematic and fund...

This paper investigates the extent to which market risk, residual risk, and tail risk explain the cross sectional dispersion in hedge fund returns. The paper introduces a comprehensive measure of systematic risk (SR) for individual hedge funds by breaking up total risk into systematic and fund...

We propose a jump robust positive semidefinite rank-based estimator for the daily covariance matrix based on high-frequency intraday returns. It disentangles covariance estimation into variance and correlation components. This allows to estimate correlations over lower sampling frequencies, to...

In this paper we investigate asymmetries in time-varying means, volatilities, correlations, and betas of equity returns in a multivariate threshold framework. We consider alternative specifications in which the threshold variable is based on well-established equity pricing factors and...

We consider a new robust parametric estimation procedure, which minimizes an empirical version of the Havrda-Charvat-Tsallis entropy. The resulting estimator adapts according to the discrepancy between the data and the assumed model by tuning a single constant q, which controls the trade-off...