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AUTHOR(S):

Gurami Tsitsiashvili, Marina Osipova

 

TITLE

Cooperative effects in risk models with discrete time

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ABSTRACT

In this paper risk models with small initial capital, insurance percent and ruin probability are constructed. These models may be used in different modern applications among which an insurance of a franchisee is one the most important. The models are based on a principle of a mutual insurance that is a considered system is an aggregation of a large number of identical insurance systems. We assume that these identical systems may be as independent so weak dependent. In such risk models phase transition phenomena are detected also. Main method to obtain these results is an estimate of rate convergence in limit theorems from probability theory.

KEYWORDS

Risk model, initial capital, insurance percent, mutual insurance, phase transition, a franchisee.

REFERENCES

[1] V.V. Kalashnikov , D. Konstantinides, Ruin under interest force and subexponential claims: a simple treatment Insurance: Mathematics and Economics, Vol. 27, 2000, pp. 145-149. (In Russian). [1] V.V. Kalashnikov , D. Konstantinides, Ruin under interest force and subexponential claims: a simple treatment Insurance: Mathematics and Economics, Vol. 27, 2000, pp. 145-149. (In Russian). 

[2] V. Kalashnikov, Geometric Sums: Bounds for Rare Events with Applications, Dordrecht, Kluwer Academic Publishers, 1997. 

[3] R. Norberg, Ruin problems with assets and liabilities of diffusion type, Stochastic Process. Appl., Vol. 81, No. 2, 1999, pp. 255-269. 

[4] J. Paulsen, Ruin theory with compounding assets a survey, Insurance Math. Econom., Vol. 22, No. 1, 1998, pp. 3-16. 

[5] P. Embrechts, C. Kluppelberg, T. Mikoch, Modelling Extremal Events for Insurance and Finance, Heidelberg, Springer, 1997. 

[6] P. Embrechts, N. Veraverbeke, Estimates for the probability of ruin with special emphasis on the possibility of large claims, Insurance: Mathematics and Economics, Vol. 1, 1982, pp. 55-72. 

[7] S. Asmussen, Subexponential asymptotics for stochastic processes: extremal behavior, stationary distributions and first passage probabilities, Ann. Appl. Probab., Vol. 8, No. 2, 1998, pp. 354- 374. 

[8] N.H. Bingham, C.M. Goldie, J.L. Teugels, Regular variation, Cambridge, Cambridge University Press, 1987. 

[9] V. Kalashnikov, R. Norberg, Power tailed ruin probabilities in the presence of risky investments, Stochastic Process. Appl., Vol. 98, No. 2, 2002, pp. 211-228. 

[10] B. Sundt, J.L. Teugels, Ruin estimates under interest force, Insurance Math. Econom., Vol. 16, No. 1, 1995, pp. 7-22. 

[11] Q. Tang, The ruin probability of a discrete time risk model under constant interest rate with heavy tails, Scand. Actuar. J., No. 3, 2004, pp. 229-240. 

[12] H. Nyrhinen, On the ruin probabilities in a general economic environment, Stochastic Process. Appl., Vol. 83, No. 2, 1999, pp. 319-330. 

[13] H. Nyrhinen, Finite and infinite time ruin probabilities in a stochastic economic environment, Stochastic Process. Appl., Vol. 92, No. 2, 2001, pp. 265-285. 

[14] Q. Tang, G. Tsitsiashvili, Precise estimates for the ruin probability in finite horizon in a discrete-time model with heavy-tailed insurance and financial risks, Stochastic Process. Appl., Vol. 108, No. 2, 2003, pp. 299-325. 

[15] V. Kalashnikov, Bounds of ruin probabilities in the presence of large claims and their comparison, North American Actuarial Journal, Vol. 3, No 1., 1999. 

[16] D. Konstantinides, Q. Tang, G. Tsitsiashvili, Estimates for the ruin probability in the classical risk model with constant interest force in the presence of heavy tails, Insurance Math. Econom., Vol. 31, No. 3, 2002, pp. 447-460. 

[17] N. Smirnova , A. Parabellum , N. Mrachkovskiy, Scaling of business, Sankt Petersberg, Piter, 2013. 

[18] B. Mandelbrot, The Pareto-Levy law and the distribution of income, Internat. Econ. Rev., Vol. 1, 1960, pp. 79-106. 

[19] A.A. Borovkov, Probability processes in queueing theory, Moscow, Science, 1972. (in Russian). 

[20] N.P. Buslenko, V.V. Kalashnikov, I.N. Kovalenko, Lectures on the theory of complex systems, Moscow, Sov. Radio, 1973. (in Russian). 

[21] A.A. Borovkov, Asymptotical methods of queueing theory, Moscow, Science, 1980. (in Russian). 

[22] A.A. Borovkov, Probability theory, Moscow, Science, 1986. (in Russian). 

[23] W. Feller, Introduction to prabability theory and its applications, Moscow, World, tom 2, 1984. (in Russian). 

[24] V.M. Zolotarev, One-dimension stable distributions, Moscow, Science, 1983. (in Russian). 

[25] A.N. Shiriaev, Probability, Moscow, Science, 1989. (in Russian). 

[26] A.A. Borovkov, Course of probability theory, Moscow, Science, 1972. (in Russian). 

[27] D.H. Fuk, S.V. Nagaev, Probability inequalities for sums of independent variables, Theory Prob. Appl., Vol. 16, No. 4, 1971, pp. 660-675. (in Russian). 

[28] S.V. Nagaev, On asymptotic behavoir of one sided large deviations, Theory Prob. Appl., Vol. 26, No. 2, 1981, pp. 369-372. (in Russian). 

[29] B.V. Gnedenko, Course of probability theory, Moscow, Science, 1988. (in Russian). 

[30] Yu.A. Rozanov, Lectures on probability theory, Moscow, Science, 1986. (in Russian). 

[31] H. Cramer, Sur un nouveau theoreme - limite de la theorie des probabilites, Actual. sci. et ind. Paris, No. 736, 1938. 

[32] V.V. Petrov, Sums of independent variables, Moscow, Science, 1972. (in Russian). 

[33] W. Feller, Generalization of a probability limit theorem of Cramer, Trans. Amer. Math. Soc., Vol. 54, No. 2, 1943, pp. 361-372. 

[34] S.V. Nagaev, Some limit theorems for large deviations, Theory Prob. Appl., Vol. 2, No. 10, 1965, pp. 231-254. (in Russian).

Cite this paper

Gurami Tsitsiashvili, Marina Osipova. (2016) Cooperative effects in risk models with discrete time. International Journal of Mathematical and Computational Methods, 1, 25-39

 

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