Journals / Journal of Turkish Operations Management / 2022 / Cilt: 6 - Sayı: 1

Investigation of a Non-Linear Cramér-Lundberg Risk Model

Pages
1065–1075
Publication Date
2022-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Therefore, it is recommended to adapt premium income as a function which increases monotonically and yet its rate of growth decreases over time.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, a non-linear version of a Cramér-Lundberg risk model is examined.
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Key Findings & Data:Because an insurance company's premium income cannot always increase linearly.
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Conclusion & Impact:Therefore, it is recommended to adapt premium income as a function which increases monotonically and yet its rate of growth decreases over time.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Cramér-Lundberg risk model · Ruin probability · Non-linear risk model

Abstract

In this study, a non-linear version of a Cramér-Lundberg risk model is examined. The objective of this work is to evaluate the ruin probability of a non-linear risk model. The classical linear Cramér-Lundberg model has been widely studied in the literature. However, the linear model is not always realistic. Because an insurance company's premium income cannot always increase linearly. Therefore, it is recommended to adapt premium income as a function which increases monotonically and yet its rate of growth decreases over time. Thus, to account for this, a more realistic non-linear mathematical model has been constructed and investigated, when the premium income function is p(t)=c√t. Then Lundberg type upper bound was calculated for the ruin probability for the model under investigation.

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Cite This Article

HANALİOGLU, Z., ALLYYEV, Y., KHANIYEV, T. (2022). Investigation of a Non-Linear Cramér-Lundberg Risk Model. Journal of Turkish Operations Management, Cilt: 6 - Sayı: 1, 1065–1075. https://ajindex.com/articles/782028

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References (16)

  1. Asmussen, S., Rolski, T., (1994), “Risk Theory in a Periodic Environment: The Cramér-Lundberg Approximation and Lundberg's Inequality”, Mathematics of Operations Research, 19 (2), 410-433
  2. Boikov, A.V., (2002), “The Cramér-Lundberg model with stochastic premium process”, Theory of Probability and Applications, 47, 489-493
  3. Chadjiconstantinidis, S., Politis, K., (2007), "Two-sided bounds for the distribution of the deficit at ruin in the renewal risk model", Insurance: Mathematics and Economics, 41(1), 41-52
  4. Cohen, A., R.Young, V., (2020), “Rate of convergence of the probability of ruin in the Cramér-Lundberg model to its diffusion approximation”, Insurance: Mathematics and Economics, 93, 333-340
  5. Constantinescu, C., Samorodnitsky, G., Zhu, W., (2018), “Ruin probabilities in classical risk models with gamma claims”, Scandinavian Actuarial Journal, 2018(7), 555-575
  6. Cramér, H., (1930), “On the mathematical theory of risk”, Skandinavia Jubilee Volume, Stockholm. Reprinted in: martin-Löf, A. (Ed.) Cramér, H. (1994) Collected Works. Springer, 155-166
  7. Gaier, J., Grandits, P., Schachermayer, W., (2003), “Asymptotic Ruin Probabilities and Optimal Investment”, The Annals of Applied Probability, 13 (3), 1054-1076
  8. Gauchonab, R., Loisela, S., Rullièrea, J., Trufinc, J., (2020), “Optimal prevention strategies in the classical risk model”, Insurance: Mathematics and Economics, 91, 202-208
  9. Gerber, H.U. (1988), “Mathematical fun with ruin theory”, Insurance: Mathematics and Economics, 7(1), 15-23
  10. Kaas R., Goovaerts M., Dhaene J., Denuit M., (2001), “Modern Actuarial Risk Theory”, Kluwer, Boston
  11. Lundberg, F., (1903), “Approximerad framställning av sannolikhetsfunktionen”, Återförsäkring av kollektivrisker. Akad. Afhandling. Almqvist och Wiksell, Uppsala, 7-9
  12. Malinovskii, V.K, (2014), “Improved asymptotic upper bounds on the ruin capital in the Lundberg model of risk”, Insurance: Mathematics and Economics, 55, 301-309
  13. Mikosch, T. (2004), “Non-life insurance mathematics: An Introduction with Stochastic Processes”, Springer-Verlag, Berlin
  14. Mishura, Y., Perestyuk, M., Ragulina, O., (2014), “Ruin probability in a risk model with variable premium intensity and risky investments”, Opuscula Mathematica, 35(2)
  15. Rolski, T., Schmidli, H., Schmidt, V., Teugels, J., (1999), “Stochastic Processes for Insurance and Finance”, Wiley, New York
  16. Straub E. (1988), “Non-Life Insurance Methematics”, Springer, New Yor