Næs, Skjeltorp, and Ødegaard (2011) provide empirical evidence that stock market liquidity contains leading information about future economic activity. Their result suggests a rebalancing of small, increasingly illiquid to large stocks in recession times, an expression of...

Corporate climate disclosures are considered an essential prerequisite to managing climate-related financial risks. At the same time, current disclosures are imprecise, inaccurate, and greenwashing-prone. We introduce a deep learning approach to enable comprehensive climate disclosure analyses...

Various non-pharmaceutical interventions (NPIs) were adopted by countries worldwide to contain the transmission of COVID-19. But their implementation raises a debate on the effectiveness of these mitigation measures. Studying 13 types of NPIs with the daily data of 185 countries from January to...

The severity of extreme weather events is increasing due to climate change, giving rise to physical climate risk. However, physical climate risk is not only driven by the severity of individual hazards, but also by the interdependence of those hazards. This paper establishes bounds for the...

We explore the performance of mixed-frequency predictive regressions for stock returns from the perspective of a Bayesian investor. We develop a constrained parameter learning approach for sequential estimation allowing for belief revisions. Empirically, we find that mixed-frequency models...

This paper introduces a novel firm-level green innovation measure utilizing ClimateBERT and GPT-3 models to analyze green patent abstracts and earnings call transcripts. Firms with higher green innovation measures experienced lower expected returns: a long-short portfolio generates an average...