“This paper explores the factors that impact how experts perceive the risk of money laundering during Anti-Money Laundering (AML) risk assessments. To achieve this, we utilized two different exploratory methods... The study’s results suggest that experts heavily rely on their organization’s risk response and are often influenced by preconceived notions or fear.”
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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...
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