207
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Out-of-sample forecasting performance of the QGARCH model

Pages 387-392 | Published online: 20 Aug 2006
 

Abstract

The population value of the R 2 is derived from the Mincer-Zarnowitz volatility forecast regression for a QGARCH(1,1). The study shows that the population R 2 exceeds that of the standard GARCH(1,1). This indicates that accounting for asymmetry in the conditional variance process can increase the predictive power of volatility forecasts. As with the standard GARCH(1,1) model, however, the R 2 is still bounded by the reciprocal of the innovation kurtosis. As a result, small values of the R 2 should be anticipated when using the QGARCH(1,1) in empirical work.

Notes

1Similar results can be found in more recent papers cited in Granger and Poon's (Citation2003) comprehensive survey.

2See Sentena (Citation1995) for a detailed comparison.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.