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ANALYSIS OF MONEY LAUNDERING CRIMES THROUGH MULTI-CRITERIA DECISION METHODS

Abstract:

Money laundering is considered a transnational crime with a negative impact on economies. Most countries have established effective mechanisms for the prevention, detection, and eradication of this criminal phenomenon. Laundering assets, by its nature, promotes moral and social deterioration and corruption, with destabilizing movements in the economy of nations, in addition to the negative consequences on governance, increased social violence, illegal concentration of wealth, generation of inflationary effects, unfair competition, discbkp_redit of the financial system and capital markets, among other disastrous consequences for society. This study intends to analyze the treatment of money laundering and propose possible alternatives to mitigate the impact on economies. For the analysis of each alternative, in terms of scope and objective, the modeling of the AHP Saaty, MOORA, and Entropy methods should be used. The results obtained focus on preventing the legitimization of the benefits of criminal activities, and the accumulation and reinvestment of assets illegally obtained. To this end, work is being done to strengthen regulations and policies to control the origin of financial resources.