Abstract

MANCILLAS PALACIOS, Jesús Fernando  and  ANDRADE ROSAS, Luis Antonio. Composition of signals and strategies of the banking sector to detect money laundering. Anál. econ. [online]. 2023, vol.38, n.99, pp.75-100.  Epub Sep 25, 2023. ISSN 2448-6655.  https://doi.org/10.24275/uam/azc/dcsh/ae/2023v38n99/mancillas.

In recent years, the prevention of money laundering has gained importance in the financial sector because this sector is being used to perpetrate this crime. This paper analyzes the best decision by banking institutions regarding the blocking or not of credit cards in the face of possible money laundering scenarios by their cardholders. Based on an analysis of incomplete information, we deduce instruments that help the institution decide to block or not, an account that presents unusual operations; to avoid financial losses and damage to their reputation from being involved with cardholders who launder money. The differentiating factor of this work consists in the construction of signals through vectors of weights assigned to the money laundering factors, which can serve as indicators or aggravating factors in possible unusual operations by cardholders.

Keywords : Money laundering; multiple banking; credit cards; reputation; incomplete information; signals.