Given ambiguity concerning the effects of disclosure on firm value and markets, we examine the question of whether investors value carbon risk disclosure. Through a survey and empirical tests, we conclude that many institutional investors consider climate risk reporting to be as important as...

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....

We estimate the risk premium for firm-level climate change exposure from 2003 to 2019. Exposure is constructed from discussions of climate-related risks and opportunities in earnings calls. When extracted from realized returns, the unconditional risk premium is zero. This insignificant overall...

We introduce a method that identifies firm-level climate change exposure from conversations in the earnings conference calls of more than 10,000 firms from 34 countries between 2002 and 2019. The method adapts a machine learning keyword discovery algorithm and captures exposures related to...

Economic theory suggests that the presence of undiversifiable background risks influences household portfolio choices. Households face significant location-specific background risks due to sea level rise (SLR). Using detailed local variation in SLR exposure and disaggregated geographic...