PROCESSES RELATED TO THE APPLICATION OF COLLECTIVE RISK MODELS

Authors

  • М. Taha KROK University

DOI:

https://doi.org/10.31732/2663-2209-2020-59-175-185

Keywords:

risk theory, the Poisson process, claim number process, the homogeneous Poisson process, the Kramer-Lundberg model, homogeneous, Іnhomogeneous, Markov processes, arrival times

Abstract

 

Annotation. There are many books, studies and research papers that show some basic findings in the mathematics of non-life insurance through the use of theoretical insurance operations. The insurance business has been described as a random and continuous process of time. This gives a more complex view of insurance mathematics and allows one to apply recent results from the theory of stochastic processes. The prevailing opinion about insurance mathematics (at least among mathematicians) is that it is rather dry and tedious matter because one interprets only momentarily and does not actually have any interesting structures. Nobody should take this view at face value and it is fun to work with mathematical structures for non-life insurance. The possibility of obtaining absolutely accurate knowledge exists only in cases involving the determination of physical parameters of size, mass, force, etc.) of environmental objects and subject to the use of complex laboratory methods. In everyday life, knowledge about the future, which is influenced by a large number of factors that cannot be studied and predicted, is based on approximate estimates, which forms the concept of uncertainty. So the current script can also be interesting for those who don't necessarily want to spend the rest of their lives with an insurance company. These processes lie in this paper to introduce many other fields of applied probability theory, such as regenerative theory, alignment, stochastic networks, point process theory, application such as Poisson, Poisson's compound, and regenerative processes. Where the appropriate stochastic process has been called the Brownian movement, which deals with the modeling of claims that reach the insurance business, which advises on how much insurance premium should be paid to avoid bankruptcy (destruction) of the insurance company by this we mean a set of contracts or policies for similar risks such as auto insurance Certain cars, home theft or water damage insurance in single-family homes.

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Author Biography

М. Taha, KROK University

postgraduate student

References

Thomas, M. (2006). Non-Life Insurance Mathematics: An Introduction with Stochastic Processes Springer. Second Printing.

Yuliya, M. (2015), Optimization in Insurance and Finance Set coordinated : Financial Mathematics, ISTE Press Ltd and Elsevier Ltd.

Venkatarama, K. (1984), Nonlinear Filtering and Smoothing : An Introduction to Martingales, Stochastic Integrals and Estimation, DOVER PUBLICATIONS, INC.

Yuliya, M. And Georgiy, S., (2017), Theory and Statistical Applications of Stochastic Processes, Wiley-ISTE.

Ivan, N. (2012), Selected Aspects of Fractional Brownian Motion, B&SS – Bocconi & Springer Series.

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Published

2020-11-02

How to Cite

Taha М. (2020). PROCESSES RELATED TO THE APPLICATION OF COLLECTIVE RISK MODELS. Science Notes of KROK University, (3 (59), 175–185. https://doi.org/10.31732/2663-2209-2020-59-175-185

Issue

Section

Chapter 6. Management and marketing