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An Introduction to Value at Risk (Securities Institute)
 
 

An Introduction to Value at Risk (Securities Institute) (Paperback)

by Ketul Tanna (Foreword), Moorad Choudhry (Author)
3.5 out of 5 stars  See all reviews (2 customer reviews)
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Product details

  • Paperback: 192 pages
  • Publisher: John Wiley & Sons; 4th Edition edition (13 April 2006)
  • Language English
  • ISBN-10: 0470017570
  • ISBN-13: 978-0470017579
  • Product Dimensions: 22.4 x 15.2 x 1.8 cm
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 181,086 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

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Product Description

Product Description

The value–at–risk measurement methodology is a widely–used tool in financial market risk management. The fourth edition of Professor Moorad Choudhry′s benchmark reference text An Introduction to Value–at–Risk offers an accessible and reader–friendly look at the concept of VaR and its different estimation methods, and is aimed specifically at newcomers to the market or those unfamiliar with modern risk management practices. The author capitalises on his experience in the financial markets to present this concise yet in–depth coverage of VaR, set in the context of risk management as a whole.

Topics covered include:

  • Defining value–at–risk
  • Variance–covariance methodology
  • Monte Carlo simulation
  • Portfolio VaR
  • Credit risk and credit VaR

Topics are illustrated with Bloomberg screens, worked examples, exercises and case studies. Related issues such as statistics, volatility and correlation are also introduced as necessary background for students and practitioners. This is essential reading for all those who require an introduction to financial market risk management and value–at–risk.

From the Back Cover

The value–at–risk measurement methodology is a widely–used tool in financial market risk management. The fourth edition of Professor Moorad Choudhry’s benchmark reference text An Introduction to Value–at–Risk offers an accessible and reader–friendly look at the concept of VaR and its different estimation methods, and is aimed specifically at newcomers to the market or those unfamiliar with modern risk management practices. The author capitalises on his experience in the financial markets to present this concise yet in–depth coverage of VaR, set in the context of risk management as a whole.

Topics covered include:

  • Defining value–at–risk
  • Variance–covariance methodology
  • Monte Carlo simulation
  • Portfolio VaR
  • Credit risk and credit VaR

Topics are illustrated with Bloomberg screens, worked examples, exercises and case studies. Related issues such as statistics, volatility and correlation are also introduced as necessary background for students and practitioners. This is essential reading for all those who require an introduction to financial market risk management and value–at–risk.


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Average Customer Review
3.5 out of 5 stars (2 customer reviews)
 
 
 
 
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4 of 6 people found the following review helpful:
5.0 out of 5 stars Good Starting Point for Finance Students, 7 May 2002
By A Customer
This book offers a very good starting point for everyone interested (and those who need it for their Finance degree) in the concepts of VaR and how it is measured. Being not very technical, it does not go into too much detail about the mathematics of the various VaR methodologies, but is therefore also more comprehensive. If you do not have any previous knowledge about VaR or Risk Management, you will find this book to be a very good basis for further reading. Those who require more detail about VaR should read Kevin Dowd's "Beyond Value at Risk" or Philip Best's "Implementing Value at Risk
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2.0 out of 5 stars A good effort but full of mistakes, 22 April 2007
By CSP (London, United Kingdom) - See all my reviews
I bought this because I needed an introductory book to VaR.
The author honestly has tried to give a concise and comprehensive introduction to VaR but I think at some points he fails to do so.
The biggest problem of the book however is that it is full of mistakes, even at the equation given for the Vega measure of the Black-Scholes model.
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