A random variable dominates another random variable with respect to the covariance order if the covariance of any two monotone increasing functions of this variable is smaller. We characterize completely the covariance order, give strong sufficient conditions for it, present a number of examples...

Testing procedures for predictive regressions with lagged autoregressive variables imply a suboptimal inference in presence of small violations of ideal assumptions. We propose a novel testing framework resistant to such violations, which is consistent with nearly integrated regressors and...

Using a novel dataset on correlation swaps, we study the relation between correlation risk, hedge fund characteristics and their risk-return profile. We find that hedge funds' ability to create market neutral returns is often associated with a significant exposure to correlation risk, which...

Using a novel dataset on correlation swaps, we study the relation between correlation risk, hedge fund characteristics and their risk-return profile. We find that hedge funds' ability to create market neutral returns is often associated with a significant exposure to correlation risk, which...

This paper proposes a double tree structured AR-GARCH model for the analysis of stock index return series, which extends previous approaches to incorporate (i) an arbitrary number of multivariate thresholds in conditional means and volatilities of stock index returns and (ii) a richer...