The increasing complexity of insurance and reinsurance products has seen a growing interest amongst actuaries in the modelling of dependent risks. For efficient risk management, actuaries need to be able to answer fundamental questions such as: Is the correlation structure dangerous? And, if yes, to what extent? Therefore tools to quantify, compare, and model the strength of dependence between different risks are vital. Combining coverage of stochastic order and risk measure theories with the basics of risk management and stochastic dependence, this book provides an essential guide to managing modern financial risk.
* Describes how to model risks in incomplete markets, emphasising insurance risks.
* Explains how to measure and compare the danger of risks, model their interactions, and measure the strength of their association.
* Examines the type of dependence induced by GLM-based credibility models, the bounds on functions of dependent risks, and probabilistic distances between actuarial models.
* Detailed presentation of risk measures, stochastic orderings, copula models, dependence concepts and dependence orderings.
* Includes numerous exercises allowing a cementing of the concepts by all levels of readers.
* Solutions to tasks as well as further examples and exercises can be found on a supporting website.
An invaluable reference for both academics and practitioners alike, Actuarial Theory for Dependent Risks will appeal to all those eager to master the up-to-date modelling tools for dependent risks. The inclusion of exercises and practical examples makes the book suitable for advanced courses on risk management in incomplete markets. Traders looking for practical advice on insurance markets will also find much of interest.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Michel Denuit - Michel Denuit is Professor of Statistics and Actuarial Science at the Université catholique de Louvain, Belgium. His major fields of research are risk theory and stochastic inequalities. He (co-)authored numerous articles appeared in applied and theoretical journals and served as member of the editorial board for several journals (including Insurance: Mathematics and Economics). He is a section editor on Wiley's Encyclopedia of Actuarial Science.
Jan Dhaene, Faculty of Economics and Applied Economics KULeuven, Belgium.
Marc Goovaerts, Professor of Actuarial Science (Non-life Insurance) at University of Amsterdam (The Netherlands) and Catholique University of Leuven (Belgium)
Rob Kaas, Professor of Actuarial Science (Actuarial Statistics), U. Amsterdam, The Netherlands.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Buchkanzlei, Bremen, Allemagne
Hardcover. Etat : Gut. 464 pp. Name on endpaper, otherwise a very well preserved copy with only slight signs of wear 332 Sprache: Englisch Gewicht in Gramm: 1100. N° de réf. du vendeur 39731
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 3224073
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 3224073
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. pp. xvii + 440 Illus. N° de réf. du vendeur 7521242
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Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Etat : New. Traditional actuarial risk theory focuses on independence between the different random variables. However in recent years the actuarial profession has recognized that efficient risk management increasingly requires an understanding of the strength of dependence between different risks. This book deals with dependent risks in insurance markets. Num Pages: 458 pages, Illustrations. BIC Classification: KFFN. Category: (P) Professional & Vocational. Dimension: 177 x 254 x 30. Weight in Grams: 902. . 2005. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780470014929
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