Abstract
This paper identifies and quantifies through a Bayesian Network model (BN) the various factors of Operational Risk (OR) associated with the payment process PROCAMPO. The BN model is calibrated with data from events that occurred during the period 2008-2011. Unlike classical methods, the BN model calibration sources include both objective and subjective ones, allowing to more adequately capture the relationship (cause and effect) between the several elements of operational risk.© 2015, School of Accounting and Management, National Autonomous University of Mexico. All rights reserved. Publication of the article implies full assignment of property rights (copyright) in Journal of Accounting and Management. The publication mreserves the right to total or partial reproduction of the work in other print, electronic or any other alternative means, but always recognizing its responsibility.
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