Valuation model for catastrophe reinsurance contracts covering multiple insurance products: An application to Indonesian earthquake data

Fevi Novkaniza, Sindy Devila, Nadiah Zabri

Article ID: 6469
Vol 8, Issue 9, 2024

VIEWS - 0 (Abstract) 0 (PDF)

Abstract


Catastrophes, like earthquakes, bring sudden and severe damage, causing fatalities, injuries, and property loss. This often triggers a rapid increase in insurance claims. These claims can encompass various types, such as life insurance claims for deaths, health insurance claims for injuries, and general insurance claims for property damage. For insurers offering multiple types of coverage, this surge in claims can pose a risk of financial losses or bankruptcy. One option for insurers is to transfer some of these risks to reinsurance companies. Reinsurance companies will assess the potential losses due to a catastrophe event, then issue catastrophe reinsurance contracts to insurance companies. This study aims to construct a valuation model for catastrophe reinsurance contracts that can cover claim losses arising from two types of insurance products. Valuation in this study is done using the Fundamental Theorem of Asset Pricing, which is the expected present value of the number of claims that occur during the reinsurance coverage period. The number of catastrophe events during the reinsurance coverage period is assumed to follow a Poisson process. Each impact of a catastrophe event, such as the number of fatalities and injuries that cause claims, is represented as random variables, and modeled using Peaks Over Threshold (POT). This study uses Clayton, Gumbel, and Frank copulas to describe various dependence characteristics between random variables. The parameters of the POT model and copula are estimated using Inference Functions for Margins method. After estimating the model parameters, Monte Carlo simulations are performed to obtain numerical solutions for the expected value of catastrophe reinsurance based on the Fundamental Theorem of Asset Pricing. The expected reinsurance value based on Monte Carlo simulations using Indonesian earthquake data from 1979–2021 is Rp 10,296,819,838.


Keywords


fundamental theorem of asset pricing; inference functions for margins; maximum likelihood; Monte Carlo; Poisson process

Full Text:

PDF


References


Balkema, A. A., & de Haan, L. (1974). Residual Life Time at Great Age. The Annals of Probability, 2(5). https://doi.org/10.1214/aop/1176996548

Chan, W. S., Yang, H., & Zhang, L. (2003). Some results on ruin probabilities in a two-dimensional risk model. Insurance: Mathematics and Economics, 345–358. https://doi.org/10.1016/S0167-6687(03)00115-X

Chao, W. (2021). Valuing Multirisk Catastrophe Reinsurance Based on the Cox–Ingersoll–Ross (CIR) Model. Discrete Dynamics in Nature and Society, 1–8. https://doi.org/10.1155/2021/8818486

Chaves-Dermoulin, V., & Embrechts, P. (2002). Smooth External Models for Operational Risk. Financial Valuation and Risk Management Working Paper Series, 135.

Czado, C., Kastenmeier, R., Brechmann, E., & Min, A. (2011). A mixed copula model for insurance claims and claim sizes. Scandinavian Actuarial Journal, 123–135.

Ekheden, E., & Hössjer, O. (2012). Pricing catastrophe risk in life (re)insurance. Scandinavian Actuarial Journal, 2014(4), 352–367. https://doi.org/10.1080/03461238.2012.695747

Gilli, M., & Këllezi, E. (2006). An Application of Extreme Value Theory for Measuring Financial Risk. Computational Economics, 27(2–3), 207–228. https://doi.org/10.1007/s10614-006-9025-7

Leppisaari, M. (2014). Modeling catastrophic deaths using EVT with a microsimulation approach to reinsurance pricing. Scandinavian Actuarial Journal, 2016(2), 113–145. https://doi.org/10.1080/03461238.2014.910833

Liu, S., & Han, L. (2012). Pricing Catastrophe Bonds under Safety Constraints. Managing Safety of Heterogeneous Systems. Berlin, Heidelberg. Springer.

McNeil, A., Frey, R., & Embrechts, P. (2005). Quantitative risk management: concepts, techniques and tools. Princeton: Princeton Univ Pr.

NCEI. (2022). National Centers for Environmental Information. Available online: https://www.ngdc.noaa.gov/ (accessed on 1 September 2022).

Nelsen, R. (2005). An introduction to copulas, 2nd ed. New York: Springer Science and Business Media.

Nowak, P., & Romaniuk, M. (2013). Pricing and simulations of catastrophe bonds. Insurance: Mathematics and Economics, 52(1), 18–28. https://doi.org/10.1016/j.insmatheco.2012.10.006

Paldynski, H. (2015). Modelling Large Claims in Property and Home Insurance-Extreme Value Analysis [Master’s thesis]. Lund University.

Reddy, M. J., & Ganguli, P. (2012). Bivariate Flood Frequency Analysis of Upper Godavari River Flows Using Archimedean Copulas. Water Resources Management, 26(14), 3995–4018. https://doi.org/10.1007/s11269-012-0124-z

Rejda, G. E., & McNamara, M. J. (2014). Principles of risk management and insurance, 12th ed. England: Pearson Education Limited.

Shiau, J. T. (2006). Fitting Drought Duration and Severity with Two-Dimensional Copulas. Water Resources Management, 20(5), 795–815. https://doi.org/10.1007/s11269-005-9008-9

Strickler, P. (1960). Reinsurance of the accumulation risk in life insurance. XVI International Congress of Actuaries. Brussels.

Tse, Y. K. (2009). Nonlife Actuarial Models, methods and evaluation. New York: Cambridge University Press. https://doi.org/10.1017/cbo9780511812156

Wu, F., Valdez, E., & Sherris, M. (2007). Simulating from Exchangeable Archimedean Copulas. Communications in Statistics—Simulation and Computation, 36(5), 1019–1034. https://doi.org/10.1080/03610910701539781

Yu, Y., Chen, M., Qi, H., et al. (2020). Copula-Based Travel Time Distribution Estimation Considering Channelization Section Spillover. IEEE Access, 8, 32850–32861. https://doi.org/10.1109/access.2020.2970530




DOI: https://doi.org/10.24294/jipd.v8i9.6469

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Fevi Novkaniza, Sindy Devila, Nadiah Zabri

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.