New Insurance Economics Findings from University of Lausanne Described (Tail asymptotics of generalized deflated risks with insurance applications)

By a News Reporter-Staff News Editor at Insurance Weekly News -- Researchers detail new data in Economics - Insurance Economics. According to news reporting originating from Lausanne, Switzerland, by VerticalNews correspondents, research stated, "Let X and S is an element of (0, 1) be two independent risk variables."

Financial supporters for this research include National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities.

Our news editors obtained a quote from the research from the University of Lausanne, "This paper investigates approximations of generalized deflated risks E{(XII)-I-kappa{SX > x) with a flexible constant kappa >= 0 under extreme value theory framework. Our findings are illustrated by three applications concerning higher-order tail approximations of deflated risks as well as approximations of the Haezendonck Goovaerts and expectile risk measures."

According to the news editors, the research concluded: "Numerical analyses show that higher-order approximations obtained in this paper significantly improve lower-order approximations."

For more information on this research see: Tail asymptotics of generalized deflated risks with insurance applications. Insurance Mathematics & Economics, 2016;71():220-231. Insurance Mathematics & Economics can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands.

The news editors report that additional information may be obtained by contacting C.X. Ling, University of Lausanne, Dept. of Actuarial Sci, UNIL Dorigny, CH-1015 Lausanne, Switzerland.

Keywords for this news article include: Lausanne, Switzerland, Europe, Insurance Economics, Economics, University of Lausanne.

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