Risk Analysis in Finance and Insurance

Risk Analysis in Finance and Insurance
Author: Alexander Melnikov
Publisher: CRC Press
Total Pages: 267
Release: 2004-06-02
Genre: Mathematics
ISBN: 1135437459

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Historically, financial and insurance risks were separate subjects most often analyzed using qualitative methods. The development of quantitative methods based on stochastic analysis is an important achievement of modern financial mathematics, one that can naturally be extended and applied in actuarial mathematics. Risk Analysis in Finance and Insurance offers the first comprehensive and accessible introduction to the ideas, methods, and probabilistic models that have transformed risk management into a quantitative science and led to unified methods for analyzing insurance and finance risks. The author's approach is based on a methodology for estimating the present value of future payments given current financial, insurance, and other information, which leads to proper, practical definitions of the price of a financial contract, the premium for an insurance policy, and the reserve of an insurance company. Self-contained and full of exercises and worked examples, Risk Analysis in Finance and Insurance serves equally well as a text for courses in financial and actuarial mathematics and as a valuable reference for financial analysts and actuaries. Ancillary electronic materials will be available for download from the publisher's Web site.

Risk Analysis in Finance and Insurance, Second Edition

Risk Analysis in Finance and Insurance, Second Edition
Author: Alexander Melnikov
Publisher: CRC Press
Total Pages: 330
Release: 2011-04-25
Genre: Mathematics
ISBN: 1420070525

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Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many important ideas from mathematics, finance, and actuarial science in a simplified manner. He explores the interconnections among these disciplines and encourages readers toward further study of the subject. This edition continues to study risks associated with financial and insurance contracts, using an approach that estimates the value of future payments based on current financial, insurance, and other information. New to the Second Edition Expanded section on the foundations of probability and stochastic analysis Coverage of new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance More worked examples and problems Reorganized and expanded, this updated book illustrates how to use quantitative methods of stochastic analysis in modern financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis and management.

Introduction to Insurance Mathematics

Introduction to Insurance Mathematics
Author: Annamaria Olivieri
Publisher: Springer
Total Pages: 508
Release: 2015-09-30
Genre: Mathematics
ISBN: 3319213776

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This second edition expands the first chapters, which focus on the approach to risk management issues discussed in the first edition, to offer readers a better understanding of the risk management process and the relevant quantitative phases. In the following chapters the book examines life insurance, non-life insurance and pension plans, presenting the technical and financial aspects of risk transfers and insurance without the use of complex mathematical tools. The book is written in a comprehensible style making it easily accessible to advanced undergraduate and graduate students in Economics, Business and Finance, as well as undergraduate students in Mathematics who intend starting on an actuarial qualification path. With the systematic inclusion of practical topics, professionals will find this text useful when working in insurance and pension related areas, where investments, risk analysis and financial reporting play a major role.

Insurance Company Financial & Risk Analysis

Insurance Company Financial & Risk Analysis
Author: Andrew Lacey
Publisher: Createspace Independent Publishing Platform
Total Pages: 214
Release: 2016-08-06
Genre:
ISBN: 9781536926873

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This book provides professional-level information on how to analyze the financial and business well-being of all types of insurance company, including Lloyd's of London syndicates. The proposed risk-based assessment framework will enable better Credit, Investment, Policy and other decisions, subject to the risk-averse stance of decision-makers.

Risk Analysis in Finance and Insurance Second Edition - Solutions Manual

Risk Analysis in Finance and Insurance Second Edition - Solutions Manual
Author: A. V. Melʹnikov
Publisher:
Total Pages:
Release: 2010-08-15
Genre: Finance
ISBN: 9781439830048

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Risk Analysis in Finance and Insurance, Second Edition presents an accessible yet comprehensive introduction to the main concepts and methods that transform risk management into a quantitative science. Taking into account the interdisciplinary nature of risk analysis, the author discusses many important ideas from mathematics, finance, and actuarial science in a simplified manner. He explores the interconnections among these disciplines and encourages readers toward further study of the subject. This edition continues to study risks associated with financial and insurance contracts, using an approach that estimates the value of future payments based on current financial, insurance, and other information. New to the Second Edition Expanded section on the foundations of probability and stochastic analysis Coverage of new topics, including financial markets with stochastic volatility, risk measures, risk-adjusted performance measures, and equity-linked insurance More worked examples and problems Reorganized and expanded, this updated book illustrates how to use quantitative methods of stochastic analysis in modern financial mathematics. These methods can be naturally extended and applied in actuarial science, thus leading to unified methods of risk analysis and management.

Structured Finance and Insurance

Structured Finance and Insurance
Author: Christopher L. Culp
Publisher: John Wiley & Sons
Total Pages: 680
Release: 2011-09-13
Genre: Business & Economics
ISBN: 1118160991

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Praise for Structured Finance & Insurance "More and more each year, the modern corporation must decide what risks to keep and what risks to shed to remain competitive and to maximize its value for the capital employed. Culp explains the theory and practice of risk transfer through either balance sheet mechanism such as structured finance, derivative transactions, or insurance. Equity is expensive and risk transfer is expensive. As understanding grows, and, as a result, costs continue to fall, ART will continue to replace equity as the means to cushion knowable risks. This book enhances our understanding of ART." --Myron S. Scholes, Frank E. Buck Professor of Finance, Emeritus, Graduate School of Business, Stanford University "A must-read for everyone offering structured finance as a business, and arguably even more valuable to any one expected to pay for such service." --Norbert Johanning, Managing Director, DaimlerChrysler Financial Services "Culp's latest book provides a comprehensive account of the most important financing and risk management innovations in both insurance and capital markets. And it does so by fitting these innovative solutions and products into a single, unified theory of financial markets that integrates the once largely separate disciplines of insurance and risk management with the current theory and practice of corporate finance." --Don Chew, Editor, Journal of Applied Corporate Finance (a Morgan Stanley publication) "This exciting book is a comprehensive read on alternative insurance solutions available to corporations. It focuses on the real benefits, economical and practical, of alternatives such as captives, rent-a-captive, and mutuals. An excellent introduction to the very complex field of alternative risk transfer (ART)." --Paul Wohrmann, PhD, Head of the Center of Excellence ART and member of theExecutive Management of Global Corporate in Europe, Zurich Financial Services "Structured Finance and Insurance transcends Silos to reach the Enterprise Mountaintop. Culp superbly details integrated, captive, multiple triggers and capital market products, and provides the architectural blueprints for enterprise risk innovation." --Paul Wagner, Director, Risk Management, AGL Resources Inc.

Portfolio Risk Analysis

Portfolio Risk Analysis
Author: Gregory Connor
Publisher: Princeton University Press
Total Pages: 400
Release: 2010-03-15
Genre: Business & Economics
ISBN: 1400835291

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Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.

Mathematical Risk Analysis

Mathematical Risk Analysis
Author: Ludger Rüschendorf
Publisher: Springer Science & Business Media
Total Pages: 414
Release: 2013-03-12
Genre: Mathematics
ISBN: 364233590X

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The author's particular interest in the area of risk measures is to combine this theory with the analysis of dependence properties. The present volume gives an introduction of basic concepts and methods in mathematical risk analysis, in particular of those parts of risk theory that are of special relevance to finance and insurance. Describing the influence of dependence in multivariate stochastic models on risk vectors is the main focus of the text that presents main ideas and methods as well as their relevance to practical applications. The first part introduces basic probabilistic tools and methods of distributional analysis, and describes their use to the modeling of dependence and to the derivation of risk bounds in these models. In the second, part risk measures with a particular focus on those in the financial and insurance context are presented. The final parts are then devoted to applications relevant to optimal risk allocation, optimal portfolio problems as well as to the optimization of insurance contracts. Good knowledge of basic probability and statistics as well as of basic general mathematics is a prerequisite for comfortably reading and working with the present volume, which is intended for graduate students, practitioners and researchers and can serve as a reference resource for the main concepts and techniques.

Risk, Ruin and Survival

Risk, Ruin and Survival
Author: Ricardas Zitikis
Publisher: MDPI
Total Pages: 210
Release: 2020-04-02
Genre: Business & Economics
ISBN: 3039285165

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Developing techniques for assessing various risks and calculating probabilities of ruin and survival are exciting topics for mathematically-inclined academics. For practicing actuaries and financial engineers, the resulting insights have provided enormous opportunities but also created serious challenges to overcome, thus facilitating closer cooperation between industries and academic institutions. In this book, several renown researchers with extensive interdisciplinary research experiences share their thoughts that, in one way or another, contribute to the betterment of practice and theory of decision making under uncertainty. Behavioral, cultural, mathematical, and statistical aspects of risk assessment and modelling have been explored, and have been often illustrated using real and simulated data. Topics range from financial and insurance risks to security-type risks, from one-dimensional to multi- and even infinite-dimensional risks. The articles in the book were written with a broad audience in mind and should provide enjoyable reading for those with university level degrees and/or those who have studied for accreditation by various actuarial and financial societies.