Actuarial Theory for Dependent Risks

Actuarial Theory for Dependent Risks PDF 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.

Actuarial Theory for Dependent Risks

Actuarial Theory for Dependent Risks PDF Author: Michel Denuit
Publisher: John Wiley & Sons
ISBN: 0470016442
Category : Business & Economics
Languages : en
Pages : 458

Get Book Here

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.

Regression Modeling with Actuarial and Financial Applications

Regression Modeling with Actuarial and Financial Applications PDF 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.

Actuarial Model

Actuarial Model PDF Author: Yanyun Zhu
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 376

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Book Description
Life insurance and life annuities are about cash flows, the time value of money, and the randomness of policyholders' death time. This book intends to present the actuarial model as a combination of these three factors. It also describes how to set premiums and reserves for those insurance products.

The Handbook of Graph Algorithms and Applications

The Handbook of Graph Algorithms and Applications PDF Author: Krishnaiyan Thulasiraman
Publisher: CRC Press
ISBN: 1482227061
Category : Mathematics
Languages : en
Pages : 656

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Book Description
The Handbook of Graph Algorithms, Volume II : Applications focuses on a wide range of algorithmic applications, including graph theory problems. The book emphasizes new algorithms and approaches that have been triggered by applications. The approaches discussed require minimal exposure to related technologies in order to understand the material. Each chapter is devoted to a single application area, from VLSI circuits to optical networks to program graphs, and features an introduction by a pioneer researcher in that particular field. The book serves as a single-source reference for graph algorithms and their related applications.

Predictive Modeling Applications in Actuarial Science

Predictive Modeling Applications in Actuarial Science PDF Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 1107029872
Category : Business & Economics
Languages : en
Pages : 565

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Book Description
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.

Nonlife Actuarial Models

Nonlife Actuarial Models PDF Author: Yiu-Kuen Tse
Publisher: Cambridge University Press
ISBN: 0521764653
Category : Business & Economics
Languages : en
Pages : 541

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

Actuarial Models for Disability Insurance

Actuarial Models for Disability Insurance PDF Author: S Haberman
Publisher: Routledge
ISBN: 1351469037
Category : Mathematics
Languages : en
Pages : 304

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Book Description
Disability insurance, long-term care insurance, and critical illness cover are becoming increasingly important in developed countries as the problems of demographic aging come to the fore. The private sector insurance industry is providing solutions to problems resulting from these pressures and other demands of better educated and more prosperous

Actuarial Principles

Actuarial Principles PDF Author: Andrew Leung
Publisher: Academic Press
ISBN: 0323901735
Category : Business & Economics
Languages : en
Pages : 266

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Book Description
Actuarial Principles: Lifetables and Mortality Models explores the core of actuarial science: the study of mortality and other risks and applications. Including the CT4 and CT5 UK courses, but applicable to a global audience, this work lightly covers the mathematical and theoretical background of the subject to focus on real life practice. It offers a brief history of the field, why actuarial notation has become universal, and how theory can be applied to many situations. Uniquely covering both life contingency risks and survival models, the text provides numerous exercises (and their solutions), along with complete self-contained real-world assignments. - Provides detailed coverage of life contingency risks and survival models - Presents self-contained chapters with coverage of key topics from both practitioner and theoretical viewpoints - Includes numerous real world exercises that are accompanied by enlightening solutions - Covers useful background information on how and why the subject has evolved and developed

Introduction to Modern Cryptography

Introduction to Modern Cryptography PDF Author: Jonathan Katz
Publisher: CRC Press
ISBN: 9781584885863
Category : Computers
Languages : en
Pages : 664

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Book Description
Cryptography plays a key role in ensuring the privacy and integrity of data and the security of computer networks. Introduction to Modern Cryptography provides a rigorous yet accessible treatment of modern cryptography, with a focus on formal definitions, precise assumptions, and rigorous proofs. The authors introduce the core principles of modern cryptography, including the modern, computational approach to security that overcomes the limitations of perfect secrecy. An extensive treatment of private-key encryption and message authentication follows. The authors also illustrate design principles for block ciphers, such as the Data Encryption Standard (DES) and the Advanced Encryption Standard (AES), and present provably secure constructions of block ciphers from lower-level primitives. The second half of the book focuses on public-key cryptography, beginning with a self-contained introduction to the number theory needed to understand the RSA, Diffie-Hellman, El Gamal, and other cryptosystems. After exploring public-key encryption and digital signatures, the book concludes with a discussion of the random oracle model and its applications. Serving as a textbook, a reference, or for self-study, Introduction to Modern Cryptography presents the necessary tools to fully understand this fascinating subject.

Generalized Linear Models for Insurance Data

Generalized Linear Models for Insurance Data PDF Author: Piet de Jong
Publisher: Cambridge University Press
ISBN: 1139470477
Category : Business & Economics
Languages : en
Pages : 207

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Book Description
This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.