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Wang, S. N., & Yang, J. G. (2007). A money laundering risk evaluation method based on decision tree. The 6th International Conference on Machine Learning and Cybernetics, 1, 283-286.

has been cited by the following article:

• TITLE: Assessing Money Laundering Risk of Financial Institutions with AHP: Supervisory Perspective

  AUTHORS: Ke Jia, Xi Zhao, Ling Zhang

  KEYWORDS: Money Laundering Risk; Assessment; AHP

  JOURNAL NAME: Journal of Financial Risk Management, Vol.2 No.1, March 28, 2013

  ABSTRACT: This paper proposed a risk assessment model with which supervisory authorities can calculate the money laundering risk (MLR) level of financial institutions and make comparisons among multiple institutions. The model is based on the Analytic Hierarchy Process (AHP) and decomposes MLR into two second-tier criteria, i.e. Inherent Risk & Control Risk. AHP pair wise comparisons made by the experts from various fields are processed through AHP software to get the weight of each factor. Using this model, MLR of each financial institution could be obtained and certain comparison among them could be carried out.