Ruin Probability : The Classical Model extended to heavy tailed distribution functions and to a simulation approach with bivariate dependent claims using Copulas
Language: English
Published by VDM Verlag Dr. Müller, 2011
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 57.91
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Add to basketItem description from seller
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.…
Seller Inventory # 9783639319866
- Title
- Ruin Probability : The Classical Model extended to heavy tailed distribution functions and to a simulation approach with bivariate dependent claims using Copulas
- Author
- Stefan Simons
- Publisher
- VDM Verlag Dr. Müller
- Publication year
- 2011
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3639319869
- ISBN 13
- 9783639319866
- Item weight
- 187 grams
- Dimensions
- 220x150x8 mm
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About the Author
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