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Value at Risk and Backtesting

  • Szymon Borak
  • Wolfgang Karl Härdle
  • Brenda López-Cabrera
Chapter
Part of the Universitext book series (UTX)

Abstract

Value-at-Risk (VaR) is probably the most commonly known measure for quantifying and controlling the risk of a portfolio. Establishing VaR is of central importance to a credit institute. The description of risk is attained with the help of an “internal model”, whose job is to reflect the market risk of portfolios and similar uncertain investments over time. The objective parameter in the model is the probability forecast of portfolio changes over a given period.

Keywords

Standard Normal Distribution Asset Return Market Risk Probability Forecast Credit Institute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Szymon Borak
    • 1
  • Wolfgang Karl Härdle
    • 1
  • Brenda López-Cabrera
    • 1
  1. 1.Humboldt-Universität zu Berlin Ladislaus von Bortkiewicz Chair of StatisticsC.A.S.E. Centre for Applied Statistics and Economics School of Business and EconomicsBerlinGermany

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