Determination of Earthquake Insurance Premium Based on Great Physical and Economic Loss Using the Bayesian Method
Keywords:
Insurance, earthquake, loss estimation, Bayesian method, premium.Abstract
Indonesia is an area prone to earthquakes because it is traversed by the meeting point of 3 tectonic plates, namely: the Indo-Australian plate, the Eurasian plate and the Pacific plate. An earthquake is an event where the earth vibrates due to a sudden restraint of energy in the earth which is characterized by the breaking of rock layers in the earth's crust. Almost all regions in Indonesia are at risk of being exposed to earthquakes. To anticipate the risk of natural disasters, earthquakes are advised to join the insurance program provided by the insurance company. This study aims to determine earthquake insurance premiums based on large physical and economic losses. The method used is the Bayesian method. This method produces each estimated loss value which is then used to calculate the combined estimated loss value. After that, the combined estimated loss value is used to calculate the premium value. The result of this research is the premium which is calculated based on the principle of expected value and standard deviation principle. The premium resulting from the expected value principle is lower than the premium resulting from the standard deviation principle.References
Takeuchi, J., Sakagami, Y., & Perez, R. C. (2016). The mother and child health handbook in Japan as a health promotion tool: An overview of its history, contents, use, benefits, and global influence. Global pediatric health, 3, 2333794X16649884.
Arnold, B. C., Castillo, E., & Sarabia, J. M. (1998). Bayesian analysis for classical distributions using conditionally specified priors. SankhyÄ: The Indian Journal of Statistics, Series B, 228-245.
Fink, D. (1997). A compendium of conjugate priors. See http://www. people. cornell. edu/pages/df36/CONJINTRnew% 20TEX. pdf, 46.
Kaas, R., Goovaerts, M., Dhaene, J., & Denuit, M. (2008). Modern actuarial risk theory: using R (Vol. 128). Springer Science & Business Media.
Paudel, Y., Botzen, W. J. W., & Aerts, J. C. J. H. (2013). Estimation of insurance premiums for coverage against natural disaster risk: an application of Bayesian Inference. Natural Hazards and Earth System Sciences, 13(3), 737-754.
Kleindorfer, P. R., & Kunreuther, H. (1999). The complementary roles of mitigation and insurance in managing catastrophic risks. Risk analysis, 19(4), 727-738.
Chen, C. W., Tseng, C. P., Hsu, W. K., & Chiang, W. L. (2012). A novel strategy to determine the insurance and risk control plan for natural disaster risk management. Natural Hazards, 64, 1391-1403.
Moschopoulos, P., & Sha, N. (2005). Bayesian inference of scale parameters in exponential family using conditionally specified priors. Communications in Statistics-Theory and Methods, 34(2), 303-318.
Bulinskaya, E. (2017). New research directions in modern actuarial sciences. Modern Problems of Stochastic Analysis and Statistics: Selected Contributions In Honor of Valentin Konakov, 349-408.
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