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Firm-level Climate Change Exposure

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Join us online for the ADIA Lab Climate Data Science Best Paper Award Finalists Seminar Series! Following a competitive selection process, we have chosen five outstanding finalists to present their papers in virtual seminars over the coming weeks.

Seminar 5:  Firm-level Climate Change Exposure

Authors: Zacharias Sautner, Laurence Van Lent, Grigory Vilkov, Ruishen Zhang

We develop a method that identifies the attention paid by earnings call participants to firms' climate change exposures. The method adapts a machine learning keyword discovery algorithm and captures exposures related to opportunity, physical, and regulatory shocks associated with climate change. The measures are available for more than 10,000 firms from 34 countries between 2002 and 2020. We show that the measures are useful in predicting important real outcomes related to the net-zero transition, in particular, job creation in disruptive green technologies and green patenting, and that they contain information that is priced in options and equity markets.

When you sign-up, you will receive links to watch all 5 seminars online. Feel free to attend all sessions or just the ones that interest you most — we look forward to seeing you there!

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May 7

A Method to Assess and Explain Changes in Sub-Daily Precipitation Return Levels From Convection-Permitting Simulations