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Description: We introduce a method that identifies firm-level climate change exposures from conversation in earnings conference calls of more than 10,000 firms from 34 countries between 2002 and 2020. The method captures exposures related to opportunity, physical, and regulatory shocks associated with climate change. The exposure measures exhibit cross-sectional and time-series variations which align with reasonable priors, and are better in capturing firm-level variation than carbon intensities or ratings. The exposure measures relate to economic factors that prior work has identified as important correlates of climate change exposure (e.g., public climate attention). Exposure to regulatory shocks negatively correlates with firm valuations, but only in recent years. Updates [2022-03-11]: We have updated our data to 2021Q4. Updates [2022-02-25]: We have expanded the number of variables provided in the datasets (we re-run the bigram searching algorithm so the original scores change but remain highly correlated with the legacy version.). Updates [2021-05-14]: We have updated our data to 2020Q4. Updates [2021-04-03]: Last update missed 2019 Q3 and Q4. We added the data of these two quarters in the latest version. Updates [2021-01-19]: We have updated our data to 2020Q3.


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