In the build-up to and especially in the weeks after the Russian invasion of Ukraine, stocks strongly exposed to the regulatory risks of the transition to a low-carbon economy did well, suggesting an expected slow-down of that transition. Analysts increased their earnings estimates for these...

We use BERT, an AI-based algorithm for language understanding, to decipher regulatory climate-risk disclosures and measure their impact on the credit default swap (CDS) market. Risk disclosures can either increase or decrease credit spreads, depending on whether disclosure reveals new risks or...

This study explores the role of fnancial support in the digital transformation of Chinese A-share-listed companies from 2001 to 2020. By utilizing the moderating efect model and threshold regression model, this study fnds the following results: (1) Digital transformation positively impacts...

This paper introduces a novel approach to enhance Large Language Models (LLMs) with expert knowledge to automate the analysis of corporate sustainability reports by benchmarking them against the Task Force for Climate-Related Financial Disclosures (TCFD) recommendations. Corporate sustainability...