Value at Risk with time varying variance, skewness and kurtosis--the NIG-ACD model
A new model for financial returns with time varying variance, skewness and kurtosis based on the Normal Inverse Gaussian (NIG) distribution is proposed. The new model and two previously suggested NIG models are evaluated by their Value at Risk (VaR) forecasts on a long series of daily Standard and Poor's 500 returns. All three models perform very well compared with extant models and clearly outperform a Gaussian GARCH model. Moreover, the results show that only the new model cannot be rejected as providing correct conditional VaR forecasts. Copyright The Author(s). Journal compilation Royal Economic Society 2009
Volume (Year): 12 (2009)
Issue (Month): 1 (03)
|Contact details of provider:|| Postal: |
Phone: +44 1334 462479
Web page: http://www.res.org.uk/
More information through EDIRC
|Order Information:||Web: http://www.ectj.org|
When requesting a correction, please mention this item's handle: RePEc:ect:emjrnl:v:12:y:2009:i:1:p:82-104. See general information about how to correct material in RePEc.
If references are entirely missing, you can add them using this form.