"... the paper surveys the obvious but seldom commented-upon facts that the vast majority of dirty money and assets resides in, passes through, or is facilitated by the world's largest and richest countries. How then do the world's main AML risk rankings invariably centre blame upon small, relatively poor, and nonwhite jurisdictions?"
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