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Measuring Market Risk » (REV)

Book cover image of Measuring Market Risk by Kevin Dowd

Authors: Kevin Dowd
ISBN-13: 9780470013038, ISBN-10: 0470013036
Format: Hardcover
Publisher: Wiley, John & Sons, Incorporated
Date Published: July 2005
Edition: REV

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Author Biography: Kevin Dowd

Kevin Dowd (Nottingham, UK) is Professor of Financial Risk Management at Nottingham University Business School. He is the author of Beyond Value at Risk: The New Science of Risk Management (Wiley: 0-471-97621-0). Dowd regularly has articles published in Financial Engineering News and Derivatives Professional.

Book Synopsis

This book offers an extensive and up-to-date review of market risk measurement, focusing particularly on the estimation of value at risk (VaR) and expected tail loss (ETL).

Measuring Market Risk provides coverage of parametric and non-parametric risk estimation, simulation, numerical methods, liquidity risks, risk decomposition and budgeting, backtesting, stress testing, and model risk, as well as appendices on mapping delta-gamma approximations and options VaR.

Divided into two parts, the book also comes with a Toolkit containing 11 toolboxes dealing with technical issues often used in market risk measurement, including quantile error estimation, order statistics, principal components and factor analysis, non-parametric density estimation, fat-tailed distributions, extreme-value theory, simulation methods, volatility and correlation estimation, and copulas. The book is packaged with a CD containing a MATLAB folder of 150 risk measurement functions, with additional examples in Excel/VBA.

Measuring Market Risk is designed for practitioners involved in risk measurement and management. It will also be of use to MBA, MA and MSc programmes in finance, financial engineering, risk management and related subjects in addition to academics and researchers working in this field.

Table of Contents

1The rise of value at risk
2Measures of financial risk
3Estimating market risk measures : an introduction and overview
4Non-parametric approaches
5Forecasting volatilities, covariances and correlations
6Parametric approaches (I)
7Parametric approaches (II) : extreme value
8Monte Carlo simulation methods
9Applications of stochastic risk measurement methods
10Estimating options risk measures
11Incremental and component risks
12Mapping positions to risk factors
13Stress testing
14Estimating liquidity risks
15Bactesting market risk models
16Model risk

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