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This book provides a comprehensive introduction to actuarialmathematics, covering both deterministic and stochastic models oflife contingencies, as well as more advanced topics such as risktheory, credibility theory and multi-state models. This new edition includes additional material on credibilitytheory, continuous time multi-state models, more complex types ofcontingent insurances, flexible contracts such as universal life,the risk measures VaR and TVaR. Key Features: * Covers much of the syllabus material on the modelingexaminations of the Society of Actuaries, Canadian Institute…mehr

Produktbeschreibung
This book provides a comprehensive introduction to actuarialmathematics, covering both deterministic and stochastic models oflife contingencies, as well as more advanced topics such as risktheory, credibility theory and multi-state models. This new edition includes additional material on credibilitytheory, continuous time multi-state models, more complex types ofcontingent insurances, flexible contracts such as universal life,the risk measures VaR and TVaR. Key Features: * Covers much of the syllabus material on the modelingexaminations of the Society of Actuaries, Canadian Institute ofActuaries and the Casualty Actuarial Society. (SOA-CIA exams MLCand C, CSA exams 3L and 4.) * Extensively revised and updated with new material. * Orders the topics specifically to facilitate learning. * Provides a streamlined approach to actuarial notation. * Employs modern computational methods. * Contains a variety of exercises, both computational andtheoretical, together with answers, enabling use forself-study. An ideal text for students planning for a professional career asactuaries, providing a solid preparation for the modelingexaminations of the major North American actuarial associations.Furthermore, this book is highly suitable reference for thosewanting a sound introduction to the subject, and for those workingin insurance, annuities and pensions.

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Autorenporträt
S. David Promislow, Professor Emeritus, Department of Mathematics & Statistics, York University, Toronto, Canada.