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...

Corporate social responsibility (CSR) plays an important role in developing countries achieving sustainable goals. Using the textual analysis of Chinese earnings communication conferences, this research examines the relationship between managerial time perspective and their company's CSR...

This paper proposes a factor timing strategy with information from 146 characteristic-based factors and a deep learning approach to capture nonlinear predictability. The deep learning-based factor timing strategy generates the highest economic value compared with the unconditional and...

In this paper, we apply the BERT model, a cut-edging deep learning model, to construct a novel textual sentiment index in the Chinese stock market. By introducing the market returns as sentiment labels, our BERT model successfully extracts useful sentiment-related information contained in asset...