Risk Measures of the ERNB Distribution Generated by G-NB Family
Abstract
This paper provides VaR and CVaR risk measures, calculated for the Erlang-Negative Binomial (ERNB) distribution. The Erlang and negative binomial distributions are given and then ERNB distribution is obtained using a family of univariate distributions which is called G-Negative Binomial (G-NB). It is defined as compounding the negative binomial distribution (NB) with any continuous distribution (G). Here, we use the ERNB distribution obtained as taking Erlang distribution instead of G. In this paper, we focus on the estimation of VaR and CVaR risk measures for this distribution in closed form and the explicit expressions are also presented for some parameter values. The results are portrayed in the figures. In additionally, numerical examples are given to illustrate changing of the risk measure according to some parameters on a real data set of automobile insurance policies.
Keywords
References
- [1] Jorion, P. Risk management lessons from long term capital management. European financial management, 6 (2000) No.3, 277-300.
- [2] Denuit M., Dhaene J. and, Goovaerts M.J., Kaas R. Actuarial Theory for Dependent Risks; Measures, Orders and Models, John Wiley and Sons, 2005.
- [3] Rockafellar, R. T., and Uryasev, S. . Conditional value-at-risk for general loss distributions. Journal of banking & finance, 26(2002), 7, 1443-1471.
- [4] Artzner, P., Delbaen, F., Eber, J. M., and Heath, D. . Coherent measures of risk. Mathematical finance, 9 (1999),3, 203-228.
- [5] Embrechts, P., Resnick, S. I., and Samorodnitsky, G. Extreme value theory as a risk management tool. North American Actuarial Journal, 3(1999), 2, 30-41.
- [6] Pflug, G. Some Remarks on the Value at Risk and the Conditional Value at Risk, in: S.P. Uryasev (ed.), Probabilistic Constrained Optimization: Methodology and Applications. Kluwer Academic Publishers, Dordrecht, Netherlands, pp. 272-281, 2000.
- [7] Krokhmal, P., Palmquist, J., and Uryasev, S. Portfolio optimization with conditional value-at-risk objective and constraints. Journal of risk, 4 (2002), 43-68.
- [8] Jiménez, J. A., and Arunachalam, V. . Using Tukey’sg and h family of distributions to calculate value-at-risk and conditional value-at-risk. Journal of Risk, 13 (2011), 4, 95-116.
- [9] Embrechts, P., Kluppelberg, S., and Mikosch, T. Extremal events in finance and insurance, 1997.
- [10] Rau-Bredow, H. Value at risk, expected shortfall, and marginal risk contribution. Risk Measures for the 21st Century, Szego, G.(ed.), Wiley Finance, 61-68, 2004.