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Risk Analysis in Finance and Insurance

List Price: $89.99
SKU:
9780367382865
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  • Product Details

    Author:
    Alexander Melnikov
    Format:
    Paperback
    Pages:
    328
    Publisher:
    CRC Press (September 25, 2019)
    Language:
    English
    ISBN-13:
    9780367382865
    Weight:
    16oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260403050946149-20260403.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $89.99
    Case Pack:
    1
    As low as:
    $85.49
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Audience:
    Professional and scholarly
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    Chapman and Hall/CRC
    Series:
    Chapman and Hall/CRC Financial Mathematics Series
  • Overview

    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.