Computational Actuarial Science With R

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Computational Actuarial Science with R

Arthur Charpentier
Computational Actuarial Science with R Book PDF

Author : Arthur Charpentier
Publisher : CRC Press
Page : 652 pages
File Size : 51,5 Mb
Release : 2014-08-26
Category : Business & Economics
ISBN : 9781466592599

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Computational Actuarial Science with R by Arthur Charpentier Pdf

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. After an introduction to the R language, the book is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets of life insurance, including life contingencies calculations and prospective life tables. Focusing on finance from an actuarial perspective, the next part presents techniques for modeling stock prices, nonlinear time series, yield curves, interest rates, and portfolio optimization. The last part explains how to use R to deal with computational issues of nonlife insurance. Taking a do-it-yourself approach to understanding algorithms, this book demystifies the computational aspects of actuarial science. It shows that even complex computations can usually be done without too much trouble. Datasets used in the text are available in an R package (CASdatasets).

Computational Actuarial Science with R

Arthur Charpentier
Computational Actuarial Science with R Book PDF

Author : Arthur Charpentier
Publisher : CRC Press
Page : 638 pages
File Size : 46,9 Mb
Release : 2014-08-26
Category : Business & Economics
ISBN : 9781466592605

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Computational Actuarial Science with R by Arthur Charpentier Pdf

A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/

Solutions Manual for Actuarial Mathematics for Life Contingent Risks

David C. M. Dickson,Mary R. Hardy,Howard R. Waters
Solutions Manual for Actuarial Mathematics for Life Contingent Risks Book PDF

Author : David C. M. Dickson,Mary R. Hardy,Howard R. Waters
Publisher : Cambridge University Press
Page : 180 pages
File Size : 52,7 Mb
Release : 2012-03-26
Category : Business & Economics
ISBN : 9781107608443

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Solutions Manual for Actuarial Mathematics for Life Contingent Risks by David C. M. Dickson,Mary R. Hardy,Howard R. Waters Pdf

"This manual presents solutions to all exercises from Actuarial Mathematics for Life Contingent Risks (AMLCR) by David C.M. Dickson, Mary R. Hardy, Howard Waters; Cambridge University Press, 2009. ISBN 9780521118255"--Pref.

Statistical Computing with R

Maria L. Rizzo
Statistical Computing with R Book PDF

Author : Maria L. Rizzo
Publisher : CRC Press
Page : 412 pages
File Size : 43,8 Mb
Release : 2007-11-15
Category : Reference
ISBN : 9781420010718

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Statistical Computing with R by Maria L. Rizzo Pdf

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditiona

Predictive Modeling Applications in Actuarial Science

Edward W. Frees,Richard A. Derrig,Glenn Meyers
Predictive Modeling Applications in Actuarial Science Book PDF

Author : Edward W. Frees,Richard A. Derrig,Glenn Meyers
Publisher : Cambridge University Press
Page : 565 pages
File Size : 40,8 Mb
Release : 2014-07-28
Category : Business & Economics
ISBN : 9781107029873

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Predictive Modeling Applications in Actuarial Science by Edward W. Frees,Richard A. Derrig,Glenn Meyers Pdf

This book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive modeling.

Pricing in General Insurance

Pietro Parodi
Pricing in General Insurance Book PDF

Author : Pietro Parodi
Publisher : CRC Press
Page : 590 pages
File Size : 41,7 Mb
Release : 2014-10-15
Category : Business & Economics
ISBN : 9781466581449

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Pricing in General Insurance by Pietro Parodi Pdf

Based on the syllabus of the actuarial industry course on general insurance pricing — with additional material inspired by the author’s own experience as a practitioner and lecturer — Pricing in General Insurance presents pricing as a formalised process that starts with collecting information about a particular policyholder or risk and ends with a commercially informed rate. The main strength of this approach is that it imposes a reasonably linear narrative on the material and allows the reader to see pricing as a story and go back to the big picture at any time, putting things into context. Written with both the student and the practicing actuary in mind, this pragmatic textbook and professional reference: Complements the standard pricing methods with a description of techniques devised for pricing specific products (e.g., non-proportional reinsurance and property insurance) Discusses methods applied in personal lines when there is a large amount of data and policyholders can be charged depending on many rating factors Addresses related topics such as how to measure uncertainty, incorporate external information, model dependency, and optimize the insurance structure Provides case studies, worked-out examples, exercises inspired by past exam questions, and step-by-step methods for dealing concretely with specific situations Pricing in General Insurance delivers a practical introduction to all aspects of general insurance pricing, covering data preparation, frequency analysis, severity analysis, Monte Carlo simulation for the calculation of aggregate losses, burning cost analysis, and more.

Nonlife Actuarial Models

Yiu-Kuen Tse
Nonlife Actuarial Models Book PDF

Author : Yiu-Kuen Tse
Publisher : Cambridge University Press
Page : 541 pages
File Size : 45,7 Mb
Release : 2009-09-17
Category : Business & Economics
ISBN : 9780521764650

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Nonlife Actuarial Models by Yiu-Kuen Tse Pdf

This class-tested undergraduate textbook covers the entire syllabus for Exam C of the Society of Actuaries (SOA).

Regression Modeling with Actuarial and Financial Applications

Edward W. Frees
Regression Modeling with Actuarial and Financial Applications Book PDF

Author : Edward W. Frees
Publisher : Cambridge University Press
Page : 585 pages
File Size : 43,6 Mb
Release : 2010
Category : Business & Economics
ISBN : 9780521760119

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Regression Modeling with Actuarial and Financial Applications by Edward W. Frees Pdf

This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.

Statistical and Probabilistic Methods in Actuarial Science

Philip J. Boland
Statistical and Probabilistic Methods in Actuarial Science Book PDF

Author : Philip J. Boland
Publisher : CRC Press
Page : 368 pages
File Size : 46,6 Mb
Release : 2007-03-05
Category : Business & Economics
ISBN : 9781584886969

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Statistical and Probabilistic Methods in Actuarial Science by Philip J. Boland Pdf

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

Modern Actuarial Risk Theory

Rob Kaas,Marc Goovaerts,Jan Dhaene
Modern Actuarial Risk Theory Book PDF

Author : Rob Kaas,Marc Goovaerts,Jan Dhaene
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 40,6 Mb
Release : 2008-12-03
Category : Business & Economics
ISBN : 9783540867364

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Modern Actuarial Risk Theory by Rob Kaas,Marc Goovaerts,Jan Dhaene Pdf

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.

An Introduction to Computational Risk Management of Equity-Linked Insurance

Runhuan Feng
An Introduction to Computational Risk Management of Equity Linked Insurance Book PDF

Author : Runhuan Feng
Publisher : CRC Press
Page : 327 pages
File Size : 55,9 Mb
Release : 2018-06-13
Category : Business & Economics
ISBN : 9781351647724

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An Introduction to Computational Risk Management of Equity-Linked Insurance by Runhuan Feng Pdf

The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.

Fundamentals of Actuarial Mathematics

S. David Promislow
Fundamentals of Actuarial Mathematics Book PDF

Author : S. David Promislow
Publisher : John Wiley & Sons
Page : 390 pages
File Size : 43,7 Mb
Release : 2011-01-06
Category : Mathematics
ISBN : 9780470978078

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Fundamentals of Actuarial Mathematics by S. David Promislow Pdf

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.

Actuarial Mathematics

Harry H. Panjer,American Mathematical Society
Actuarial Mathematics Book PDF

Author : Harry H. Panjer,American Mathematical Society
Publisher : American Mathematical Soc.
Page : 143 pages
File Size : 42,7 Mb
Release : 1986
Category : Political Science
ISBN : 9780821800966

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Actuarial Mathematics by Harry H. Panjer,American Mathematical Society Pdf

These lecture notes from the 1985 AMS Short Course examine a variety of topics from the contemporary theory of actuarial mathematics. Recent clarification in the concepts of probability and statistics has laid a much richer foundation for this theory. Other factors that have shaped the theory include the continuing advances in computer science, the flourishing mathematical theory of risk, developments in stochastic processes, and recent growth in the theory of finance. In turn, actuarial concepts have been applied to other areas such as biostatistics, demography, economic, and reliability engineering.

Actuarial Mathematics for Life Contingent Risks

David C. M. Dickson,Mary R. Hardy,Howard R. Waters
Actuarial Mathematics for Life Contingent Risks Book PDF

Author : David C. M. Dickson,Mary R. Hardy,Howard R. Waters
Publisher : Cambridge University Press
Page : 513 pages
File Size : 46,9 Mb
Release : 2009-09-24
Category : Business & Economics
ISBN : 9781139479455

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Actuarial Mathematics for Life Contingent Risks by David C. M. Dickson,Mary R. Hardy,Howard R. Waters Pdf

How can actuaries best equip themselves for the products and risk structures of the future? Using the powerful framework of multiple state models, three leaders in actuarial science give a modern perspective on life contingencies, and develop and demonstrate a theory that can be adapted to changing products and technologies. The book begins traditionally, covering actuarial models and theory, and emphasizing practical applications using computational techniques. The authors then develop a more contemporary outlook, introducing multiple state models, emerging cash flows and embedded options. Using spreadsheet-style software, the book presents large-scale, realistic examples. Over 150 exercises and solutions teach skills in simulation and projection through computational practice. Balancing rigour with intuition, and emphasising applications, this text is ideal for university courses, but also for individuals preparing for professional actuarial exams and qualified actuaries wishing to freshen up their skills.

The R Book

Michael J. Crawley
The R Book Book PDF

Author : Michael J. Crawley
Publisher : John Wiley & Sons
Page : 953 pages
File Size : 51,7 Mb
Release : 2007-06-13
Category : Mathematics
ISBN : 0470515066

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The R Book by Michael J. Crawley Pdf

The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.