The article presents three key arguments on #risktaking in #corporategovernance. Firstly, it asserts that #riskmanagers shouldn't be automatically blamed for corporate failures arising from statistically justified risk-based decisions. It suggests a "statistics-based governance" rule to protect managers within legal limits. Secondly, it argues for the inclusion of statistical methodologies to offset #cognitivebias in assessing prudent corporate #governance. Lastly, it contends that while expected-value analysis guides most decisions, for those with potential societal harm, public interests should also be considered.
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
Comentários