We provide a comprehensive study on the cross-sectional predictability of corporate bond returns using big data and machine learning. We examine whether a large set of equity and bond characteristics drive the expected returns on corporate bonds. Using either set of characteristics, we find that...

We provide evidence regarding mutual funds' motivation to hold lottery stocks. Funds with higher managerial ownership invest less in lottery stocks, suggesting that managers themselves do not prefer such stocks. The evidence instead supports that managers cater to fund investors' preference for...

We propose a comprehensive measure of systematic risk for corporate bonds as a nonlinear function of robust risk factors and find a significantly positive link between systematic risk and the time-series and cross-section of future bond returns. We also find a positive but insignificant relation...

We provide evidence regarding mutual funds' motivation to hold lottery stocks. Funds with higher managerial ownership invest less in lottery stocks, suggesting that managers themselves do not prefer such stocks. The evidence instead supports that managers cater to fund investors' preference for...

Stocks with increases in idiosyncratic risk tend to earn low subsequent returns for a few months. However, high idiosyncratic risk stocks eventually earn persistently high returns. These results are consistent with positively priced idiosyncratic risk and temporary underreaction to idiosyncratic...

This paper studies mergers in markets where firms invest in a portfolio of research projects of different profitability and social value. The portfolio nature of the investment problem brings about novel insights on the external effects of firms' investments. The investment of a firm in one...