An Introduction to Market Risk Measurement

An Introduction to Market Risk Measurement book cover

An Introduction to Market Risk Measurement

Author(s): Kevin Dowd (Author)

  • Publisher: Wiley
  • Publication Date: 29 Aug. 2002
  • Edition: 1st
  • Language: English
  • Print length: 304 pages
  • ISBN-10: 9780470847480
  • ISBN-13: 9780470847480

Book Description

  • Includes a CD-ROM that contains Excel workbooks and a Matlab manual and software.
  • Covers the subject without advanced or exotic material.

Editorial Reviews

From the Inside Flap

This book provides an introduction to Value at Risk (VaR) and expected tail loss (ETL) estimation and is a student-oriented version of Measuring Market Risk (John Wiley & Sons 2002).

An Introduction to Market Risk Measurement includes coverage of:

  • Parametric and non-parametric risk estimation
  • Simulation
  • Numerical Methods
  • Liquidity Risks
  • Risk Decomposition and Budgeting
  • Backtesting
  • Stress Testing
  • Model Risk

Divided into two parts, part one discusses the various risk measurement techniques, whilst part two provides a toolkit of the main tools required to understand market risk measurement. A CD is packaged with the book, containing a MATLAB folder of risk measurement functions, in addition to some examples in Excel/VBA.

From the Back Cover

This book provides an introduction to Value at Risk (VaR) and expected tail loss (ETL) estimation and is a student-oriented version of Measuring Market Risk (John Wiley & Sons 2002).

An Introduction to Market Risk Measurement includes coverage of:

  • Parametric and non-parametric risk estimation
  • Simulation
  • Numerical Methods
  • Liquidity Risks
  • Risk Decomposition and Budgeting
  • Backtesting
  • Stress Testing
  • Model Risk

Divided into two parts, part one discusses the various risk measurement techniques, whilst part two provides a toolkit of the main tools required to understand market risk measurement. A CD is packaged with the book, containing a MATLAB folder of risk measurement functions, in addition to some examples in Excel/VBA.

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