We examine the implications of CEO gender for corporate debt structure. After controlling for endogeneity, firms with female CEOs issue less debt than firms with male CEOs. Although both risk aversion and overconfidence may serve as the channel of our main finding, we show that female CEOs being...

We compare the equal-weight naive 1/N portfolio with mean-variance strategies from the perspective of mispricing (alpha) and provide three new findings. First, we analytically show that the 1/N rule approaches the ex ante mean-variance efficient portfolio in the absence of mispricing. With...

We investigate the validity and reliability of the bootstrap approach in fund performance evaluation by gauging the size. Monte Carlo simulations suggest that cross-sectional dependence may alter the size of this test and we propose a new panel bootstrap approach

We propose a novel spatial panel quantile regression method to investigate the impact of crude oil and carbon prices and neighboring fuel prices on regional retail fuel prices in the EU markets. This approach captures the changing price shock propagation and cross-market dependency of retail...

We derive a closed-form appraisal/information ratio of the investors who are able to observe some information about security fundamentals, by solving a simple instantaneous mean-variance portfolio choice problem in a continuous-time framework. Both analytical and numerical results suggest that...

We explore the possible existence and behavior of hot money in six categories of disaggregated bilateral capital flows (equity inflows, equity outflows, bond inflows, bond outflows, banking credit inflows, and banking credit outflows) for 12 emerging markets vis-à-vis the U.S. from 1995 to 2012...

This paper proposes two dimension-reduction and forecasting quantile methods (i.e., the quantile group lasso and the quantile group SCAD models) to predict carbon futures returns and investigate the predictability of a comprehensive group of factors including market fundamental variables and...