Abstract
This paper models the gradual elements of catastrophic events on non-life insurance capital with a particular focus on the impact of pandemics, such as COVID-19. A combination of actuarial and epidemiological models are handled by the Markovian probabilistic approach, with Feynman’s path calculation and Dirac notations, in order to observe how a pandemic risk may affect an insurer via reduced business. We also examine how the effects of a pandemic can be taken into account both during and at the end of the process. Examples are also provided showing the potential effects of a pandemic on different types of insurance product.
Original language | English |
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Article number | 132 |
Number of pages | 13 |
Journal | Risks |
Volume | 8 |
Issue number | 4 |
DOIs | |
Publication status | Published - 06 Dec 2020 |