Firm-level Climate Change Exposure

Firm-level Climate Change Exposure

Zacharias Sautner, Laurence van Lent, Grigory Vilkov, Ruishen Zhang

Series number :

Serial Number: 

Date posted :

July 22 2020

Last revised :

March 05 2023
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  • climate change • 
  • climate risk • 
  • conference calls • 
  • institutional investors

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.

Published in

Published in: 
Journal of Finance, forthcoming


Real name:
Laurence van Lent
Real name:
Grigory Vilkov
Real name:
Ruishen Zhang