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Author: Philip Booth
Publisher: CRC Press
ISBN: 9780849303883
Category : Mathematics
Languages : en
Pages : 734
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Book Description
In the last two decades, there has been a significant shift in thinking and in the approach taken to actuarial practice: moving from deterministic methods (with implicit or explicit margins to protect against variability) to fully stochastic methods. Important international developments are currently being made in actuarial education, with radical changes being implemented in Australia and North America, and evolutionary changes planned in the UK. At the same time, the Consultative Group of Actuarial Associations within the EU and the International Forum of Actuarial Associations are both actively considering the international harmonization of professional qualifications. Modern Actuarial Theory and Practice matches the philosophy of those international developments, and the manner in which actuarial qualifications are changing and are likely to continue to change. It describes the traditional areas of actuarial activity with an emphasis on the fundamental principles, as well as the economic, financial, and statistical foundations of actuarial theory and practice. Information is presented in five interconnected sections: Investment Life Insurance General Insurance Pensions Actuarial Models which can be read separately or taken as part of the integrated whole. This text will be an invaluable aid for final-year undergraduates, MSc students, research students preparing for an MPhil or Ph. D degree, and to student actuaries preparing for the professional actuarial examinations of a number of professional bodies. Practicing actuaries will also find this a useful guide to current methodologies and models.
Author: Philip Booth
Publisher: CRC Press
ISBN: 9780849303883
Category : Mathematics
Languages : en
Pages : 734
Get Book Here
Book Description
In the last two decades, there has been a significant shift in thinking and in the approach taken to actuarial practice: moving from deterministic methods (with implicit or explicit margins to protect against variability) to fully stochastic methods. Important international developments are currently being made in actuarial education, with radical changes being implemented in Australia and North America, and evolutionary changes planned in the UK. At the same time, the Consultative Group of Actuarial Associations within the EU and the International Forum of Actuarial Associations are both actively considering the international harmonization of professional qualifications. Modern Actuarial Theory and Practice matches the philosophy of those international developments, and the manner in which actuarial qualifications are changing and are likely to continue to change. It describes the traditional areas of actuarial activity with an emphasis on the fundamental principles, as well as the economic, financial, and statistical foundations of actuarial theory and practice. Information is presented in five interconnected sections: Investment Life Insurance General Insurance Pensions Actuarial Models which can be read separately or taken as part of the integrated whole. This text will be an invaluable aid for final-year undergraduates, MSc students, research students preparing for an MPhil or Ph. D degree, and to student actuaries preparing for the professional actuarial examinations of a number of professional bodies. Practicing actuaries will also find this a useful guide to current methodologies and models.
Author: Philip Booth
Publisher: CRC Press
ISBN: 1420057308
Category : Business & Economics
Languages : en
Pages : 834
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Book Description
In the years since the publication of the best-selling first edition, the incorporation of ideas and theories from the rapidly growing field of financial economics has precipitated considerable development of thinking in the actuarial profession. Modern Actuarial Theory and Practice, Second Edition integrates those changes and presents an up-to-date, comprehensive overview of UK and international actuarial theory, practice and modeling. It describes all of the traditional areas of actuarial activity, but in a manner that highlights the fundamental principles of actuarial theory and practice as well as their economic, financial, and statistical foundations.
Author: Rob Kaas
Publisher: Springer Science & Business Media
ISBN: 3540867368
Category : Business & Economics
Languages : en
Pages : 394
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Book Description
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. It also contains some chapters about Generalized Linear Models, applied to rating and IBNR problems. As to the level of the mathematics, the book would fit in a bachelors or masters program in quantitative economics or mathematical statistics. This second and.
Author:
Publisher:
ISBN: 9780367802745
Category : Insurance
Languages : en
Pages : 799
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Book Description
Author: S. Chadburn
Publisher: Chapman & Hall
ISBN: 9780412564901
Category : Insurance
Languages : en
Pages : 448
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Book Description
Author: Michel Denuit
Publisher: John Wiley & Sons
ISBN: 0470016442
Category : Business & Economics
Languages : en
Pages : 458
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Book Description
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.
Author: P Booth
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Philip J. Boland
Publisher: CRC Press
ISBN: 158488696X
Category : Business & Economics
Languages : en
Pages : 368
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Book Description
Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students' existing knowledge of probability and statistics by establishing a solid and thorough understanding of
Author: S. David Promislow
Publisher: John Wiley & Sons
ISBN: 0470978074
Category : Mathematics
Languages : en
Pages : 390
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Book Description
This book provides a comprehensive introduction to actuarial mathematics, covering both deterministic and stochastic models of life contingencies, as well as more advanced topics such as risk theory, credibility theory and multi-state models. This new edition includes additional material on credibility theory, continuous time multi-state models, more complex types of contingent insurances, flexible contracts such as universal life, the risk measures VaR and TVaR. Key Features: Covers much of the syllabus material on the modeling examinations of the Society of Actuaries, Canadian Institute of Actuaries and the Casualty Actuarial Society. (SOA-CIA exams MLC and 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 and theoretical, together with answers, enabling use for self-study. An ideal text for students planning for a professional career as actuaries, providing a solid preparation for the modeling examinations of the major North American actuarial associations. Furthermore, this book is highly suitable reference for those wanting a sound introduction to the subject, and for those working in insurance, annuities and pensions.
Author: Mathieu Boudreault
Publisher: John Wiley & Sons
ISBN: 1119137012
Category : Mathematics
Languages : en
Pages : 592
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Book Description
A new textbook offering a comprehensive introduction to models and techniques for the emerging field of actuarial Finance Drs. Boudreault and Renaud answer the need for a clear, application-oriented guide to the growing field of actuarial finance with this volume, which focuses on the mathematical models and techniques used in actuarial finance for the pricing and hedging of actuarial liabilities exposed to financial markets and other contingencies. With roots in modern financial mathematics, actuarial finance presents unique challenges due to the long-term nature of insurance liabilities, the presence of mortality or other contingencies and the structure and regulations of the insurance and pension markets. Motivated, designed and written for and by actuaries, this book puts actuarial applications at the forefront in addition to balancing mathematics and finance at an adequate level to actuarial undergraduates. While the classical theory of financial mathematics is discussed, the authors provide a thorough grounding in such crucial topics as recognizing embedded options in actuarial liabilities, adequately quantifying and pricing liabilities, and using derivatives and other assets to manage actuarial and financial risks. Actuarial applications are emphasized and illustrated with about 300 examples and 200 exercises. The book also comprises end-of-chapter point-form summaries to help the reader review the most important concepts. Additional topics and features include: Compares pricing in insurance and financial markets Discusses event-triggered derivatives such as weather, catastrophe and longevity derivatives and how they can be used for risk management; Introduces equity-linked insurance and annuities (EIAs, VAs), relates them to common derivatives and how to manage mortality for these products Introduces pricing and replication in incomplete markets and analyze the impact of market incompleteness on insurance and risk management; Presents immunization techniques alongside Greeks-based hedging; Covers in detail how to delta-gamma/rho/vega hedge a liability and how to rebalance periodically a hedging portfolio. This text will prove itself a firm foundation for undergraduate courses in financial mathematics or economics, actuarial mathematics or derivative markets. It is also highly applicable to current and future actuaries preparing for the exams or actuary professionals looking for a valuable addition to their reference shelf. As of 2019, the book covers significant parts of the Society of Actuaries’ Exams FM, IFM and QFI Core, and the Casualty Actuarial Society’s Exams 2 and 3F. It is assumed the reader has basic skills in calculus (differentiation and integration of functions), probability (at the level of the Society of Actuaries’ Exam P), interest theory (time value of money) and, ideally, a basic understanding of elementary stochastic processes such as random walks.
