Reinsurance and Solvency Capital: Mitigating Insurance Companies’ Ruin Probability



Main Article Content

Jorge Wilson Euphasio Junior
https://orcid.org/0000-0003-3112-2281 orcid
João Vinícius França Carvalho
https://orcid.org/0000-0002-1076-662X orcid

Abstract

Context: insurance companies are important to society, since they guarantee financial protection to individuals from property losses, in addition to fostering the capital market through the allocation of guarantee assets. Thus, it is essential to evaluate the instruments that guarantee their long-term financial solvency. Among them are the adoption of reinsurance treaties, the sizing of the solvency capital, and the actuarial modeling of risk processes, which allow the measurement of the ruin probability. Objective: estimate the ruin probability in risk processes with the adoption of reinsurance contracts (quota share and excess of loss), compared to scenarios without such treaties. Methods: the Cramér-Lundberg process was simulated using the Monte Carlo method, adjusting several probabilistic distributions to the severity of the compound Poisson process, which is calibrated with a set of 3,917,863 real microdata, from 30 insurance lines of business. Results: it was found that, although each branch presents particularities in the claim severity, the correct choice of reinsurance (proportional or not) implies the reduction of the ruin probability for a fixed solvency capital. Conclusion: the appropriate choice of the reinsurance contract, especially when there is evidence of high kurtosis in the claim values, intensifies the exponential decline in the relationship between the solvency capital and the ruin probability.



Downloads

Download data is not yet available.


Article Details

How to Cite
Euphasio Junior, J. W., & Carvalho, J. V. F. (2021). Reinsurance and Solvency Capital: Mitigating Insurance Companies’ Ruin Probability. Journal of Contemporary Administration, 26(1), e200191. https://doi.org/10.1590/1982-7849rac2022200191.en
Section
Theoretical-empirical Articles

References

Afonso, L. B., Cardoso, R. M. R., Reis, A. D. E. dos, & Guerreiro, G. R. (2017). Measuring the impact of a bonus-malus system in finite and continuous time ruin probabilities for large portfolios in motor insurance. ASTIN Bulletin, 47(2), 417–435. https://doi.org/10.1017/asb.2017.3
Albrecher, H., & Haas, S. (2011). Ruin theory with excess of loss reinsurance and reinstatements. Applied Mathematics and Computation, 217(20), 8031–8043. https://doi.org/10.1016/j.amc.2011.02.109
Bareche, A., & Cherfaoui, M. (2019). Sensitivity of the stability bound for ruin probabilities to claim distributions. Methodology and Computing in Applied Probability, 21(4), 1259–1281. https://doi.org/10.1007/s11009-018-9675-7
Baumgartner, B., & Gatto, R. (2010). A bootstrap test for the probability of ruin in the compound poisson risk process. ASTIN Bulletin, 40(1), 241–255. https://doi.org/10.2143/AST.40.1.2049227
Bowers, N. L., Gerber, H. U., Hickman, J. C., Jones, D. A., & Nesbitt, C. J. (1997). Actuarial mathematics (2nd ed.). Schaumburg, IL: The Society of Actuaries.
Charpentier, A. (2010). Reinsurance, ruin and solvency issues: Some pitfalls [Working Paper hal-00463381]. HAL Archives-Ouvertes. Retrieved from https://hal.archives-ouvertes.fr/hal-00463381/document
Chen, Y., & Yuan, Z. (2017). A revisit to ruin probabilities in the presence of heavy-tailed insurance and financial risks. Insurance: Mathematics and Economics, 73, 75–81. https://doi.org/10.1016/j.insmatheco.2017.01.005
Cheng, J., Gao, Y., & Wang, D. (2016). Ruin probabilities for a perturbed risk model with stochastic premiums and constant interest force. Journal of Inequalities and Applications, 2016(1), 214. https://doi.org/10.1186/s13660-016-1135-8
Cheung, E. C. K., Dai, S., & Ni, W. (2018). Ruin probabilities in a Sparre Andersen model with dependency structure based on a threshold window. Annals of Actuarial Science, 12(2), 269–295. https://doi.org/10.1017/S1748499517000215
Constantinescu, C. D., Kozubowski, T. J., & Qian, H. H. (2019). Probability of ruin in discrete insurance risk model with dependent Pareto claims. Dependence Modeling, 7(1), 215–233. https://doi.org/10.1515/demo-2019-0011
Coulibaly, I., & Lefèvre, C. (2008). On a simple quasi-Monte Carlo approach for classical ultimate ruin probabilities. Insurance: Mathematics and Economics, 42(3), 935–942. https://doi.org/10.1016/j.insmatheco.2007.10.008
Deelstra, G., & Plantin, G. (2014). Risk theory and reinsurance. London: Springer. https://doi.org/10.1007/978-1-4471-5568-3
Dickson, D. C. M., & Qazvini, M. (2016). Gerber–Shiu analysis of a risk model with capital injections. European Actuarial Journal, 6(2), 409–440. https://doi.org/10.1007/s13385-016-0131-1
Dong, Y., & Wang, D. (2018). Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns. Journal of Inequalities and Applications, 2018(1), 319. https://doi.org/10.1186/s13660-018-1913-6
England, P. D., Verrall, R. J., & Wüthrich, M. V. (2019). On the lifetime and one-year views of reserve risk, with application to IFRS 17 and Solvency II risk margins. Insurance: Mathematics and Economics, 85, 74–88. https://doi.org/10.1016/j.insmatheco.2018.12.002
Eryilmaz, S., & Gebizlioglu, O. L. (2017). Computing finite time non-ruin probability and some joint distributions in discrete time risk model with exchangeable claim occurrences. Journal of Computational and Applied Mathematics, 313, 235–242. https://doi.org/10.1016/j.cam.2016.09.025
Gatto, R. (2020). The stability of the probability of ruin. Stochastic Models, 36(1), 112–133. https://doi.org/10.1080/15326349.2019.1695135
Gatto, R., & Mosimann, M. (2012). Four approaches to compute the probability of ruin in the compound Poisson risk process with diffusion. Mathematical and Computer Modelling, 55(3–4), 1169–1185. https://doi.org/10.1016/j.mcm.2011.09.041
Lefèvre, C., Trufin, J., & Zuyderhoff, P. (2017). Some comparison results for finite-time ruin probabilities in the classical risk model. Insurance: Mathematics and Economics, 77, 143–149. https://doi.org/10.1016/j.insmatheco.2017.09.004
Lemos, S. R. R. (2008). Probabilidade da ruína no mercado de seguros: Fundamentos teóricos e alguns resultados de simulação (Master thesis). Universidade Federal de Pernambuco, Recife, PE, Brazil Retrieved from https://repositorio.ufpe.br/handle/123456789/6171
Melo, E. F. L. de. (2008). Uma aplicação de cópulas de Lévy na agregação de processos multivariados de ruína. Revista Brasileira de Risco e Seguro, 4(7), 47–64. Retrieved from http://www.rbrs.com.br/arquivos/RBRS7-3%20Eduardo%20Fraga.pdf
Mikosch, T., & Samorodnitsky, G. (2000). Ruin probability with claims modeled by a stationary ergodic stable process. Annals of Probability, 28(4), 1814–1851. https://doi.org/10.1214/aop/1019160509
Moro, E. D., & Krvavych, Y. (2017). Probability of sufficiency of Solvency II reserve risk margins: Practical approximations. ASTIN Bulletin, 47(3), 737–785. https://doi.org/10.1017/asb.2017.12
Ramsden, L., & Papaioannou, A. D. (2019). Ruin probabilities under capital constraints. Insurance: Mathematics and Economics, 88, 273–282. https://doi.org/10.1016/j.insmatheco.2018.11.002
Superintendência de Seguros Privados. (2018). 6º relatório de análise e acompanhamento dos mercados supervisionados. SUSEP. Rio de Janeiro, RJ, Brazil. Retrieved from http://www.susep.gov.br/menuestatistica/SES/6b0%20Relat_Acomp_Mercado_2018.pdf
Tamturk, M., & Utev, S. (2018). Ruin probability via quantum mechanics approach. Insurance: Mathematics and Economics, 79, 69–74. https://doi.org/10.1016/j.insmatheco.2017.12.009
Touazi, A., Benouaret, Z., Aissani, D., & Adjabi, S. (2017). Nonparametric estimation of the claim amount in the strong stability analysis of the classical risk model. Insurance: Mathematics and Economics, 74, 78–83. https://doi.org/10.1016/j.insmatheco.2017.02.007
Vidmar, M. (2018). Ruin under stochastic dependence between premium and claim arrivals. Scandinavian Actuarial Journal, 2018(6), 505–513. https://doi.org/10.1080/03461238.2017.1391114
Wüthrich, M. V. (2015). From ruin theory to solvency in non-life insurance. Scandinavian Actuarial Journal, 2015(6), 516–526. https://doi.org/10.1080/03461238.2013.858401