I exploit a new dataset from Four Twenty Seven and identify physical climate risk factors that
can explain the variation in global individual stock returns. North American stocks are …

Pricing firm-level exposure to physical risk, such as hurricanes, wildfires and floods, poses
large informational challenges to investors and policymakers. This leads to difficulties in …

Large Language Models have made remarkable progress in question-answering tasks, but
challenges like hallucination and outdated information persist. These issues are especially …

This article provides an overview of compliance carbon markets that trade carbon emission
allowances and analyzes the properties of carbon as an investable asset class. The authors …

Communities and individuals are increasingly turning to courts to hold governments and high
emitting corporations to account for the adverse consequences of climate change and are …

In the face of climate change, are companies really taking substantial steps toward more
sustainable operations? A comprehensive answer lies in the dense, information-rich landscape …

This paper introduces a novel approach to enhance Large Language Models (LLMs) with
expert knowledge to automate the analysis of corporate sustainability reports by …

Using location-specific climate exposure measures, I test for the existence of physical climate
risk premia. Hurricane risk commands a positive risk premium whilst heat stress commands …

Aimed at investors, it assesses companies’ progress on the transition to a low-carbon economy,
supporting efforts to address climate change. Over 67 investors globally have already …

Large Language Models (LLMs) have made significant progress in recent years, achieving
remarkable results in question-answering tasks (QA). However, they still face two major …