We propose and implement a method to identify shocks to #transitionrisk addressing key challenges regarding its definition and #measurement. Our shocks are instances where significant new information about the economic relevance of climate change increases the valuation of #greenfirms over #brownfirms. To illustrate our method, we identify shocks to transition risk in the #us. These shocks have important aggregate effects, also inducing #financialinstability. They are associated with events that increase the likelihood of an orderly transition, and they specifically affect parts of the economy related to #fossilfuels and #energy. We show that these main results carry over to #de and the #uk. Still, we find an important role for country specificities.
top of page
Rechercher
Posts récents
Voir tout“As analysts are primary recipients of these reports, we investigate whether and how analyst forecast properties have changed following...
This study proposes a new method for detecting insider trading. The method combines principal component analysis (PCA) with random forest...
Cyber risk classifications often fail in out-of-sample forecasting despite their in-sample fit. Dynamic, impact-based classifiers...
bottom of page
Comments