Study Data from University of Leicester Update Understanding of COVID-19 (Examining the Effects of Gradual Catastrophes on Capital Modelling and the Solvency of Insurers: The Case of COVID-19) - Insurance News | InsuranceNewsNet

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December 22, 2020 Newswires
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Study Data from University of Leicester Update Understanding of COVID-19 (Examining the Effects of Gradual Catastrophes on Capital Modelling and the Solvency of Insurers: The Case of COVID-19)

NewsRx COVID-19 Daily

2020 DEC 22 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx COVID-19 Daily -- Researchers detail new data in coronavirus. According to news reporting out of Leicester, United Kingdom, by NewsRx editors, research stated, “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.”

Our news correspondents obtained a quote from the research from University of Leicester: “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.”

According to the news reporters, the research concluded: “Examples are also provided showing the potential effects of a pandemic on different types of insurance product.”

For more information on this research see: Examining the Effects of Gradual Catastrophes on Capital Modelling and the Solvency of Insurers: The Case of COVID-19. Risks, 2020,8(132):132. (Risks - http://www.mdpi.com/journal/risks). The publisher for Risks is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/risks8040132.

Our news editors report that more information may be obtained by contacting Muhsin Tamturk, Department of Mathematics, University of Leicester, Leicester LE1 7RH, United Kingdom. Additional authors for this research include Dominic Cortis, Mark Farrell.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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