Cálculo del valor en riesgo operacional de una empresa aseguradora mediante redes Bayesianas

Artikel

It was in the 1990's when the concept of Operational Risk was defined, since then the institutions, especially those in the financial sector, are worried about this type of risk since their exposure could have fatal consequences. In case of the insurance sector its study originates due to the new European regulatory framework of Solvency II. The purpose of this research is the development of a methodology based on Bayesian networks to identify and measure operational risk in order to determine the solvency capital requirement in the online policy quotation process of an insurance company that recently entered into this way of operating. For this, a Bayesian network model was designed with a priori and a posteriori distributions that allowed estimating the frequency and severity of the losses, with the posteriori distributions, an estimate of the expected loss for a period of one year was made using Monte Carlo simulation.

Object Details

• Alternative title: Calculation of operational value at risk of an insurance company through Bayesian networks
• Language: Spanisch

References and Relationships

• Bibliographic citation: Journal: Revista de Métodos Cuantitativos para la Economía y la Empresa ; ISSN: 1886-516X ; Volume: 27 ; Year: 2019 ; Pages: 30-54

Classification and Topics

• Classification: Wirtschaft ; Bayesian Analysis: General ; Statistical Simulation Methods: General ; Model Construction and Estimation
• Subject: Operational risk ; Bayesian networks ; Solvency II OpVar

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Dávila Aragón, Griselda ; Ortiz Arango, Francisco
• Event: Veröffentlichung
• (who): Universidad Pablo de Olavide
• (where): Sevilla
• (when): 2019

Further information

• DOI: doi:10.46661/revmetodoscuanteconempresa.2737
• Handle: http://hdl.handle.net/10419/286153
• Last update: 10.03.2025, 11:45 AM CET