Search for statistically approved criteria for identifying money laundering risk
Olesia Lebid; Oleksandr Veits · 2020 · Banks and Bank Systems
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
The paper focuses on the theoretical justification and theoretical foundations of using statistical criteria for identifying money laundering risk as a tool to prevent and counteract the legalization of bank clients’ proceeds. The…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: Crossref · DOI 10.21511/bbs.15(4).2020.13