Risk Analysis in Finance and Insurance
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Risk Analysis in Finance and Insurance

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Description

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.show more

Product details

  • Hardback | 272 pages
  • 150.4 x 247.4 x 20.3mm | 553.39g
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • United States
  • English
  • 9 black & white illustrations, 19 black & white tables
  • 1584884290
  • 9781584884293
  • 2,426,119

Review quote

"a useful addition to a rapidly expanding field." - Journal of the Royal Statistical Society "Here is a 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 risk." -Business Horizons "Risk Analysis in Finance and Insurance by Dr. Alexander Melnikov is a self-contained and highly comprehensible introduction to mathematical finance and its interplay with insurance risk analysis. Students will like the book due to the many worked-out examples deepening the understanding of the theory. A special and probably unique feature of the book is its unified approach to financial and insurance risks. As a consequence of the convergence of financial and insurance markets, practitioners in financial institutions will have great benefit from books like Melnikov's covering mathematical approaches to risk analysis in both markets in a consistent manner." - Dr. Christian Bluhm, HypoVereinsbank, Munich, Germanyshow more

Table of contents

FOUNDATIONS OF FINANCIAL RISK MANAGEMENT Introductory Concepts of the Securities Market. Subject of Financial Mathematics Probabilistic Foundations of Financial Modelling and Pricing of Contingent Claims The Binomial Model of a Financial Market. Absence of Arbitrage, Uniqueness of a Risk-Neutral Probability Measure, Martingale Representation Hedging Contingent Claims in the Binomial Market Model. The Cox-Ross-Rubinstein Formula. Forwards and Futures Pricing and Hedging American options Utility Functions and St. Petersburg's Paradox. The Problem of Optimal Investment The Term Structure of Prices, Hedging and Investment Strategies in the Ho-Lee Model ADVANCED ANALYSIS OF FINANCIAL RISKS Fundamental Theorems on Arbitrage and Completeness. Pricing and Hedging Contingent Claims in Complete and Incomplete Markets. The Structure of Options Prices in Incomplete Markets and in Markets with Constraints. Options-Based Investment Strategies . Hedging Contingent Claims in Mean Square Gaussian Model of a Financial Market and Pricing in Flexible Insurance Models. Discrete Version of the Black-Scholes Formula . The Transition from the Binomial Model of a Financial Market to a Continuous Model. The Black-Scholes Formula and Equation. The Black-Scholes Model. "Greek" Parameters in Risk Management. Hedging under Dividends and Budget Constraints. Optimal Investment Assets with Fixed Income Real options: Pricing Long-Term Investment Projects Technical Analysis in Risk Management INSURANCE RISKS. FOUNDATIONS OF ACTUARIAL ANALYSIS Modelling Risk in Insurance and Methodologies of Premium Calculations Probability of Bankruptcy as a Measure of Solvency of an Insurance Company Solvency of an Insurance Company and Investment Portfolios Risks in Traditional and Innovative Methods in Life Insurance Reinsurance Risks Extended Analysis of Insurance Risks in a Generalized Cram'er-Lundberg Model APPENDICES Software Supplement: Computations in Finance And Insurance Problems and Solutions Bibliographic Remark References Glossary of Notation INDEXshow more