Value at Risk Computation in a Non-Stationary Setting

Book section: This chapter recalls the main tools useful to compute Value at Risk associated with a m-dimensional portfolio. Then, the limitations of the use of these tools is explained, as soon as non-stationarities are observed in time series. Indeed, specific behaviours observed by financial assets, like volatility, jumps, explosions, and pseudo-seasonalities, provoke non-stationarities which affect the distribution function of the portfolio. Thus, a new way for computing VaR is proposed which allows the potential non-invariance of the m-dimensional portfolio distribution function to be avoided.

Author(s)

Dominique Guegan

Publisher(s)
  • John Wiley
Scientific editor(s)
  • Greg N. Gregoriou, Carsten S. Wehn, Christian Hoppe
Title of the work
  • Handbook on Model Risk : Measuring, managing and mitigating model risk, lessons from financial crisis
Date of publication
  • 2010
Keywords
  • Non-stationarity
  • Value-at-Risk
  • Dynamic copula -Meta-distribution
  • POT method
  • POT method
Pages
  • 431-454 – chapter 19
Version
  • 1