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An Introduction to Value-at-Risk

ebook

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.


Expand title description text
Series: Securities Institute Publisher: Wiley Edition: 4

Kindle Book

  • Release date: September 19, 2005

OverDrive Read

  • ISBN: 9780470033777
  • Release date: September 19, 2005

PDF ebook

  • ISBN: 9780470033777
  • File size: 4726 KB
  • Release date: September 19, 2005

Formats

Kindle Book
OverDrive Read
PDF ebook
Kindle restrictions

Languages

English

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.


Expand title description text