Ruin Probability Classical Model by Simons Stefan (3 results)

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  • Language: English

    Published by VDM Verlag Dr. Müller, 2011

    3639319869 / 9783639319866

    • Softcover

    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. Ruin Probability | The Classical Model extended to heavy tailed distribution functions and to a simulation approach with bivariate dependent claims using Copulas | Stefan Simons | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639319866 | Verantwortliche Person für die EU: VDM Verlag Dr. Müller, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

  • Language: English

    Published by VDM Verlag Dr. Müller, 2011

    3639319869 / 9783639319866

    • Softcover

    Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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  • Language: English

    Published by VDM Verlag Dr. Müller, 2011

    3639319869 / 9783639319866

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ruin probability is a central component of actuarial science. The first part of this thesis describes the classical model including some premium principles and derives some main results, such as the Upper Lundberg bound and the Cramér-Lundberg approximation formula. One assumption for these results is the existence of the adjustment coefficient. Heavy tailed distribution functions are treated in the second part, where it is shown that this coefficient does not exist. Then some results from the classical model are extended to a class of heavy tailed distribution functions, i.e. subexponential functions. A central limit theorem for stable distribution functions is shown. Regularly and slowly varying functions as well as mean excess functions are explained. The third part describes some dependency structures, with a focus on copula functions, and explains the simulation procedure. First, the classical model is simulated using three different distribution functions: a light tailed, a medium tailed and a heavy tailed function. Following this, bivariate dependent claims are assumed, which are modeled with different copula functions: with and without tail dependency.…