Riesgo operacional en el proceso de pago del Procampo Un enfoque bayesiano

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.