"From a #riskmanagement perspective, it is challenging to #model physical and #transitionrisks given the #uncertainty around #climaterisk drivers, such as changes in #governmentpolicy aimed at reducing #greenhousegasemissions, the pace of technological change, and uncertainty around the transmission channels. A dearth of in-house modeling tools and reliance on #thirdparty vendors also hamper #banks’ ability to properly understand and manage #risks. The most recent #boe climate biennial exploratory scenario (#cbes) noted that “banks varied in their ability to scrutinize and understand the strengths and weakness of third-party models, and adapt them appropriately to the CBES.” As a result, projected #losses for banks varied widely, suggesting a high degree of uncertainty about the magnitude of climate risks as well as a limited ability to accurately reflect such risks in business decisions."
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...
00
This study proposes a new method for detecting insider trading. The method combines principal component analysis (PCA) with random forest...
00
Cyber risk classifications often fail in out-of-sample forecasting despite their in-sample fit. Dynamic, impact-based classifiers...
30
bottom of page
Comments