Research output: Contribution to journal › Article › peer-review
An Insurance Company Model with Random Premiums and Claims. / Товстик, Татьяна Михайловна; Булгакова, Дарья Сергеевна.
In: Vestnik St. Petersburg University: Mathematics, Vol. 58, No. 1, 01.03.2025, p. 79–91 .Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - An Insurance Company Model with Random Premiums and Claims
AU - Товстик, Татьяна Михайловна
AU - Булгакова, Дарья Сергеевна
N1 - Tovstik, T.M., Bulgakova, D.S. An Insurance Company Model with Random Premiums and Claims. Vestnik St.Petersb. Univ.Math. 58, 79–91 (2025). https://doi.org/10.1134/S1063454125700098
PY - 2025/3/1
Y1 - 2025/3/1
N2 - This article considers the stochastic Cramer–Lundberg model, in which premiums and insurance compensations (claims) are random and independent. Premiums are equally distributed and obey the exponential law. Claims are also equally distributed according to the exponential law, which has a positive shift from the origin. A homogeneous Poisson process is introduced, whose jumps are interpreted as the moments of premium receipt, while the intensity corresponds to the average number of premiums per year. The Poisson process does not depend on the random variables representing premiums and insurance compensations. Insurance events occur at the same times as premiums are received, but with less intensity. The probabilities of a company’s ruin at the first three times of the appearance of claims are found, and a scheme for sequentially calculating the probabilities of ruin at the times of receipt of insurance events is given. Examples are given.
AB - This article considers the stochastic Cramer–Lundberg model, in which premiums and insurance compensations (claims) are random and independent. Premiums are equally distributed and obey the exponential law. Claims are also equally distributed according to the exponential law, which has a positive shift from the origin. A homogeneous Poisson process is introduced, whose jumps are interpreted as the moments of premium receipt, while the intensity corresponds to the average number of premiums per year. The Poisson process does not depend on the random variables representing premiums and insurance compensations. Insurance events occur at the same times as premiums are received, but with less intensity. The probabilities of a company’s ruin at the first three times of the appearance of claims are found, and a scheme for sequentially calculating the probabilities of ruin at the times of receipt of insurance events is given. Examples are given.
KW - ruin probability
KW - risk model
KW - stochastic insurance company model
KW - exponential distribution with a shift in insurance claims
KW - exponential distribution with a shift in insurance claims
KW - risk model
KW - ruin probability
KW - stochastic insurance company model
UR - https://www.mendeley.com/catalogue/0c84d8e2-c657-348f-9d60-15ecbe4affd6/
U2 - 10.1134/s1063454125700098
DO - 10.1134/s1063454125700098
M3 - Article
VL - 58
SP - 79
EP - 91
JO - Vestnik St. Petersburg University: Mathematics
JF - Vestnik St. Petersburg University: Mathematics
SN - 1063-4541
IS - 1
ER -
ID: 135972012