NUMERICAL METHODS APPLIED TO RUIN PROBABILITY IN AN ERLANG(2) RISK PROCESS WITH WEIBULL LOSS DISTRIBUTION
Keywords:
finite difference method, Laplace transform, ruin probability, trapezoid rule, Weibull distributionDOI:
https://doi.org/10.17654/0975045224008Abstract
In the Erlang(2) risk process, ruin occurs when the surplus falls below zero, indicating potential bankruptcy for the insurance company. Predicting bankruptcy is crucial, and ruin probability serves as a key metric for this purpose. It involves solving an Integral-Differential equation derived from the Erlang(2) risk process. This study focuses on computing ruin probability under the assumption of a Weibull claim distribution. The analysis is divided into two scenarios based on the Weibull parameter: when $\alpha$ equals 1 and when it differs. While the Laplace transform offers an analytical solution for the Integral-Differential equation, its applicability diminishes when faced with an improper integral that defies analytical resolution. Consequently, for greater than 1, finite difference method is employed to obtain a numerical solution. The accuracy of this numerical approach is verified by comparing it against the analytical solution when equals 1. Subsequently, leveraging the accuracy established in the first scenario, the finite difference method is applied to compute the numerical solution for the differing scenario. The numerical method is satisfactory when calculated from $u = 0$ to $u = 100$, matching the analytical solution.
Received: April 12, 2024
Accepted: May 27, 2024
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