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Author: Charles Lambert Trowbridge
Publisher: Actuarial Education & Research Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 98
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Book Description
Author: Charles Lambert Trowbridge
Publisher: Actuarial Education & Research Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 98
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Book Description
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:
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 620
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Book Description
Author: Stephen Garrett
Publisher: Academic Press
ISBN: 0128004916
Category : Mathematics
Languages : en
Pages : 622
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Book Description
This self-contained module for independent study covers the subjects most often needed by non-mathematics graduates, such as fundamental calculus, linear algebra, probability, and basic numerical methods. The easily-understandable text of Introduction to Actuarial and Mathematical Methods features examples, motivations, and lots of practice from a large number of end-of-chapter questions. For readers with diverse backgrounds entering programs of the Institute and Faculty of Actuaries, the Society of Actuaries, and the CFA Institute, Introduction to Actuarial and Mathematical Methods can provide a consistency of mathematical knowledge from the outset. - Presents a self-study mathematics refresher course for the first two years of an actuarial program - Features examples, motivations, and practice problems from a large number of end-of-chapter questions designed to promote independent thinking and the application of mathematical ideas - Practitioner friendly rather than academic - Ideal for self-study and as a reference source for readers with diverse backgrounds entering programs of the Institute and Faculty of Actuaries, the Society of Actuaries, and the CFA Institute
Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 0521760119
Category : Business & Economics
Languages : en
Pages : 585
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Book Description
This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.
Author: Angus S. Macdonald
Publisher: Cambridge University Press
ISBN: 110704541X
Category : Business & Economics
Languages : en
Pages : 387
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Book Description
Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.
Author: Wai-sum Chan
Publisher: World Scientific
ISBN: 9811243298
Category : Business & Economics
Languages : en
Pages : 366
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Book Description
This book provides a thorough understanding of the fundamental concepts of financial mathematics essential for the evaluation of any financial product and instrument. Mastering concepts of present and future values of streams of cash flows under different interest rate environments is core for actuaries and financial economists. This book covers the body of knowledge required by the Society of Actuaries (SOA) for its Financial Mathematics (FM) Exam.The third edition includes major changes such as an addition of an 'R Laboratory' section in each chapter, except for Chapter 9. These sections provide R codes to do various computations, which will facilitate students to apply conceptual knowledge. Additionally, key definitions have been revised and the theme structure has been altered. Students studying undergraduate courses on financial mathematics for actuaries will find this book useful. This book offers numerous examples and exercises, some of which are adapted from previous SOA FM Exams. It is also useful for students preparing for the actuarial professional exams through self-study.
Author: Stuart A. Klugman
Publisher:
ISBN: 9780975933756
Category : Actuarial science
Languages : en
Pages : 529
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Book Description
New required text for the FAP Modules, as of January 31, 2012. A critical point in an actuary's education is the transition from understanding the mathematical underpinnings of actuarial science to putting them into practice. The problems become less well-defined and the solutions less clear-cut. Understanding Actuarial Practice is designed to aid that transition in four of the areas in which actuaries practice: investments, life insurance and annuities, retirement benefits, and health insurance. In each area students are introduced to the products that are delivered in each area and the relevant methods with regard to pricing, reserving and funding. Examples are supported by readily available spreadsheets and there are numerous exercises that reinforce the concepts. While written expressly for use in the Society of Actuaries Fundamentals of Actuarial Practice Course, this book is a valuable resource for anyone who desires to learn how actuarial principles are put into practice.
Author: Natalia A. Humphreys
Publisher:
ISBN: 9781793514271
Category :
Languages : en
Pages : 294
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Book Description
Probability and Statistics for Actuaries provides students with a structured and detailed explanation of the probabilistic and statistical aspects of actuarial science to help them formalize and deepen their knowledge in these areas. The text is divided into two distinct parts with the first focusing on probability and the second focusing on statistics. Part I begins with a strategic review of probabilistic models and techniques. Additional chapters cover conditional probability, variance, and expectation with distinct emphasis of the Bayesian approach. Students learn about the Bayesian framework for credibility and the relationship between Bühlmann approximation and empirical Bayes. Part II begins with a review of statistical models and techniques and then proceeds with a robust chapter that discusses parametric statistical inference. The text includes two helpful appendices: a one-sample K-S table and a one-sample A-D table. Designed to help students expand their knowledge, Probability and Statistics for Actuaries is an exceptional resource for courses within the actuarial sciences. It is also ideal for individuals preparing to take professional exams given by the Society of Actuaries and Casualty Actuarial Society.
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.
