Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286153 
Title (translated): 
Calculation of operational value at risk of an insurance company through Bayesian networks
Year of Publication: 
2019
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 27 [Year:] 2019 [Pages:] 30-54
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract (Translated): 
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.
Subjects: 
Operational risk
Bayesian networks
Solvency II OpVar
JEL: 
C11
C15
C51
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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