Abstract
Operational risk is one of the core risks of every insurance company in accordance to the solvency capital requirement under the Solvency II regime. The target of the research is to investigate the improvement possibilities of the operational risk measurement under Solvency II regime. The authors have prepared the algorithm of the operational risk measurement under Solvency II framework that helps improve the understanding of the operational risk capital requirements. Moreover, the authors have prepared the case study about a practical usage of the suggested algorithm through the example of one non-life insurance company. The authors use, in order to perform the research, such corresponding methods as theoretical and methodological analysis of scientific literature, analytical, statistical and mathematical methods.
Subject
Strategy and Management,Economics and Econometrics,Finance
Reference22 articles.
1. Angela, C., Bisignani, R., Masala, G., Micocci, M. (2009). “Advanced operational risk modelling in banks and insurance companies”. Investment Management and Financial Innovations. Vol. 6, Issue 3, pp.73-82.
2. Bortot P., Tail dependence in bivariate skew-Normal and skew-t distributions. 2012. / Internet. - ttp://www2.stat.unibo.it/bort 15 pp.
3. Cherubini, U., Luciano, E., Vecchiato, W. (2004). Copula methods in finance, Willey, New-York.
4. Chavez-Demoulin, V., Embrechts, P., Hofert, M. (2014). “An extreme value approach for modelling operational risk losses depending on covariaties”. Journal of Risk and Insurance. Retrieved from http://www.math.ethz.ch/~embrecht/papers.html
5. Comité Européen des Assurances (CEA) and the Groupe Consultatif Actuariel Européen (Groupe Consultatif). (2007). Solvency II Glossary. Retrieved from http://ec.europa.eu/internal_market/insurance/docs/solven cy/impactassess/annex-c08d_en.pdf