This study investigates how a firm's climate change risk (FCCR) and financial flexibility (FIFL) affect its value and environmental, social, and governance (ESG) performance. We use data from publicly listed US firms for 2012-2021. We employed four estimation methods: bootstrap quantile...

Amid ongoing discussion over the merits and demerits of litigation, this study addresses the impact of litigation risk on corporate innovation at Chinese listed firms from 2014 to 2022. We exploit Two-Stage GMM, DID model, and PSM techniques to address endogeneity. We find that both litigation...

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...