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Using staggered climatic disasters in the U.S, we find that earnings forecasts by analysts who experienced a major climatic disaster become less accurate than those by the unaffected analysts within three months after the disaster due to distracted attention. Stock prices respond less strongly...
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This study examines whether sell-side equity analysts help the market assimilate information contained in global climate change. Using a new measure of firm sensitivity to climate change, we show that analysts located in states where firms exhibit greater sensitivity to abnormal temperature...
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Companies face significant carbon-transition risk as the global economy works to combat climate change. This paper studies the market-based premium associated with the carbon-transition risk globally and finds that firms with more carbon-intense business models earn higher returns in recent...
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) approach to evaluating the hedging effectiveness of clean energy stocks. The out-of-sample forecast evaluations of the oil risk … Diebold & Mariano forecast evaluation test for nested and non-nested models, respectively. Findings - The study finds ample … also conducts forecast evaluations of the clean energy predictive models for nested and non-nested models. …
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We examine the effect of voluntary climate risk disclosure on Credit Default Swap (CDS) premiums. We develop a structural credit risk model, in which climate-related disclosures serve as an information source reducing uncertainty about climate risks. The model predicts a negative relation...
Persistent link: https://www.econbiz.de/10013404223
We find that people revise their beliefs about climate change upward when experiencing warmer than usual temperatures in their area. Using international data, we show that attention to climate change, as proxied by Google search volume, increases when the local temperature is abnormally high. In...
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