Modelling extremal events: for insurance and finance
Modelling extremal events: for insurance and finance
DISCRETE TIME RISK MODELS UNDER RATES OF INTEREST
Probability in the Engineering and Informational Sciences
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Consider a discrete-time insurance risk model with risky investments. Under the assumption that the loss distribution belongs to a certain subclass of the subexponential class, Tang and Tsitsiashvili (Stochastic Processes and Their Applications 108(2): 299–325 (2003)) established a precise estimate for the finite time ruin probability. This article extends the result both to the whole subexponential class and to a nonstandard case with associated discount factors.