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

Author

Listed:
  • Martínez Sánchez José Francisco

    (Instituto Politécnico Nacional)

  • Venegas Martínez

    (Instituto Politécnico Nacional)

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.

Suggested Citation

  • Martínez Sánchez José Francisco & Venegas Martínez, 2013. "Riesgo operacional en el proceso de pago del Procampo. Un enfoque bayesiano," Contaduría y Administración, Accounting and Management, vol. 58(2), pages 221-259, abril-jun.
    • Handle: RePEc:nax:conyad:v:58:y:2013:i:2:p:221-259
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    File URL: http://www.cya.unam.mx/index.php/cya/article/view/143
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    Cited by:

    1. Franco-Arbeláez, Luis Ceferino & Franco-Ceballos, Luis Eduardo & Murillo-Gómez, Juan Guillermo & Venegas-Martínez, Francisco, 2015. "Riesgo operativo en el sector salud en Colombia [Operational Risk in the Health Sector in Colombia]," MPRA Paper 63149, University Library of Munich, Germany.

    More about this item

    Keywords

    riesgo operacional; análisis bayesiano; simulación Monte Carlo;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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