Abstract
We present a flexible premium determination method for insurance products, in particular, for unemployment insurance products. The price is determined with the real-world pricing formula and under the assumption that the employment–unemployment progress of an insured person follows an F-doubly stochastic Markov chain. The stochastic intensity processes are estimated for the German labor market, using Cox’s proportional hazards model with time-dependent covariates on a sample of integrated labor market biographies. The estimation procedure is based on a counting process framework with stochastic compensators, which we show to be naturally connected to the class of F-doubly stochastic Markov chains. Based on the statistical analysis, the prices are computed using Monte Carlo simulations.
Item Type: | Journal article |
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Faculties: | Mathematics, Computer Science and Statistics > Mathematics > Workgroup Financial Mathematics |
Subjects: | 500 Science > 510 Mathematics |
ISSN: | 01676687 |
Language: | English |
Item ID: | 110048 |
Date Deposited: | 26. Mar 2024, 12:33 |
Last Modified: | 26. Mar 2024, 12:33 |