An Introduction to Actuarial Mathematics, Arjun K. Gupta; Tamas Varga
Автор: Mario V. W?thrich Название: Market-Consistent Actuarial Valuation ISBN: 3319466356 ISBN-13(EAN): 9783319466354 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This is the third edition of this well-received textbook, presenting powerful methods for measuring insurance liabilities and assets in a consistent way, with detailed mathematical frameworks that lead to market-consistent values for liabilities.
Topics covered are stochastic discounting with deflators, valuation portfolio in life and non-life insurance, probability distortions, asset and liability management, financial risks, insurance technical risks, and solvency. Including updates on recent developments and regulatory changes under Solvency II, this new edition of Market-Consistent Actuarial Valuation also elaborates on different risk measures, providing a revised definition of solvency based on industry practice, and presents an adapted valuation framework which takes a dynamic view of non-life insurance reserving risk.
Автор: Kaas, Rob Goovaerts, Marc Dhaene, Jan Denuit, Michel Название: Modern actuarial risk theory ISBN: 3540709924 ISBN-13(EAN): 9783540709923 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Modern Actuarial Risk Theory contains what every actuary needs to know about non-life insurance mathematics. It starts with the standard material like utility theory, individual and collective model and basic ruin theory. Other topics are risk measures and premium principles, bonus-malus systems, ordering of risks and credibility theory.
Автор: Marco Corazza; Cira Perna; Marilena Sibillo; Flore Название: Mathematical and Statistical Methods for Actuarial Sciences and Finance ISBN: 3319502336 ISBN-13(EAN): 9783319502335 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume gathers selected peer-reviewed papers presented at the "International MAF Conference 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance" held in Paris at the University of Paris-Dauphine from March 30 to April 1, 2016.
Автор: Jaime A. Londo?o; Jos? Garrido; Monique Jeanblanc Название: Actuarial Sciences and Quantitative Finance ISBN: 3319665340 ISBN-13(EAN): 9783319665344 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Developed from the Second International Congress on Actuarial Science and Quantitative Finance, this volume showcases the latest progress in all theoretical and empirical aspects of actuarial science and quantitative finance.
Описание: This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance.
Описание: The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one.
Описание: The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one.
Автор: I.B. MacNeill; G. Umphrey Название: Actuarial Science ISBN: 9401086273 ISBN-13(EAN): 9789401086271 Издательство: Springer Рейтинг: Цена: 23053.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro- fessor V.
Автор: Stuart A. Klugman Название: Bayesian Statistics in Actuarial Science ISBN: 9048157900 ISBN-13(EAN): 9789048157907 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The two greatest advantages to the actuary of the Bayesian approach are that the method is independent of the model and that interval estimates are as easy to obtain as point estimates. The former attribute means that once one learns how to analyze one problem, the solution to similar, but more complex, problems will be no more difficult.
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