Effective Actuarial Methods

Effective Actuarial Methods

Author: M. J. Goovaerts

Publisher: North Holland

Published: 1990

Total Pages: 342

ISBN-13:

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During the last two decades actuarial research has developed in a more applied direction. Although the original risk models generally served as convenient and sometimes tractable mathematical examples of general probabilistic and/or statistical theories, nowadays models and techniques are encountered that can be considered to be typically actuarial. Examples include ordering of risks by dangerousness, credibility theory and techniques based on IBNR models. Not only does this book present the underlying mathematics of these subjects, but it also deals with the practical application of the techniques. In order to provide results based on real insurance portfolios, use is made of three software packages, namely SLIC performing stop-loss insurance calculations for individual and collective risk models, CRAC dealing with actuarial applications of credibility theory, and LORE giving IBNR-based estimates for loss reserves. Worked-out examples illustrate the theoretical results. This book is intended for use in preparing university actuarial exams, and contains many exercises with varying levels of complexity. It is valuable as a textbook for students in actuarial sciences during their last year of study. Due to the emphasis on applications and because of the worked-out examples on real portfolio data, it is also useful for practising actuaries to guide them in interpreting their own results.


Effective Statistical Learning Methods for Actuaries I

Effective Statistical Learning Methods for Actuaries I

Author: Michel Denuit

Publisher: Springer Nature

Published: 2019-09-03

Total Pages: 452

ISBN-13: 3030258203

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This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.


Effective Statistical Learning Methods for Actuaries II

Effective Statistical Learning Methods for Actuaries II

Author: Michel Denuit

Publisher: Springer Nature

Published: 2020-11-16

Total Pages: 228

ISBN-13: 303057556X

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This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and numerical illustrations or case studies. All numerical illustrations are performed with the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. In particular, master's students in actuarial sciences and actuaries wishing to update their skills in machine learning will find the book useful. This is the second of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P&C, life and health insurance.


Against Prediction

Against Prediction

Author: Bernard E. Harcourt

Publisher: University of Chicago Press

Published: 2008-09-15

Total Pages: 345

ISBN-13: 0226315991

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From random security checks at airports to the use of risk assessment in sentencing, actuarial methods are being used more than ever to determine whom law enforcement officials target and punish. And with the exception of racial profiling on our highways and streets, most people favor these methods because they believe they’re a more cost-effective way to fight crime. In Against Prediction, Bernard E. Harcourt challenges this growing reliance on actuarial methods. These prediction tools, he demonstrates, may in fact increase the overall amount of crime in society, depending on the relative responsiveness of the profiled populations to heightened security. They may also aggravate the difficulties that minorities already have obtaining work, education, and a better quality of life—thus perpetuating the pattern of criminal behavior. Ultimately, Harcourt shows how the perceived success of actuarial methods has begun to distort our very conception of just punishment and to obscure alternate visions of social order. In place of the actuarial, he proposes instead a turn to randomization in punishment and policing. The presumption, Harcourt concludes, should be against prediction.


Effective Statistical Learning Methods for Actuaries I

Effective Statistical Learning Methods for Actuaries I

Author: Michel Denuit

Publisher:

Published: 2019

Total Pages: 441

ISBN-13: 9783030258214

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This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P & C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.


Statistical and Probabilistic Methods in Actuarial Science

Statistical and Probabilistic Methods in Actuarial Science

Author: Philip J. Boland

Publisher: CRC Press

Published: 2007-03-05

Total Pages: 368

ISBN-13: 158488696X

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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


Fundamentals of Actuarial Mathematics

Fundamentals of Actuarial Mathematics

Author: S. David Promislow

Publisher: John Wiley & Sons

Published: 2011-01-06

Total Pages: 390

ISBN-13: 0470978074

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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.


The Influential Actuary

The Influential Actuary

Author: David C. Miller

Publisher: ACTEX Publications

Published: 2010

Total Pages: 258

ISBN-13: 156698761X

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Lays out specific tools and strategies that enable actuaries and other technical professionals to add greater value to their organizations by being more influential in the way they communicate, influence and relate to others. --from publisher description


Actuarial Aspects of Individual Life insurance and Annuity Contracts, 3rd Edition

Actuarial Aspects of Individual Life insurance and Annuity Contracts, 3rd Edition

Author: Albert Easton, FSA, MAAA

Publisher: ACTEX Publications

Published: 2014-06-01

Total Pages: 334

ISBN-13: 1625422121

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Actuarial Aspects of Individual Life Insurance and Annuity Contracts provides a comprehensive overview of the features and financial aspects of traditional, indexed, and variable products and their related rider benefits. Product development, pricing, financial reporting methods, and regulatory requirements are addressed for all products, including those with derivative-based guarantees. This provides an introduction to actuarial techniques and the relationships among various financial values for the student and provides a comprehensive summary of current practices on more recent products for the experienced actuary. Spreadsheets are available on the ACTEX website to demonstrate profit testing alternatives.