Firm‐Level Climate Change Exposure

Zacharias Sautner, Laurence van Lent, Grigory Vilkov, RUISHEN ZHANGFinance金融监管UTD24

Journal of Finance2023-02-28Frankfurt School of Finance & Management; Dongbei University of Finance and Economics; Duke Kunshan University; Heinrich Heine University Düsseldorf; Chinese University of Hong KongDOI

Citations1037

Semantic Scholar

ABSTRACT 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.

Climate changeEarningsEquity (law)BusinessNatural resource economicsEconomicsFinanceMarket Dynamics and VolatilityEnergy, Environment, Economic GrowthClimate Change Policy and Economics