Structural change and estimated persistence in the GARCH(1,1)-model

It has long been known that the estimated persistence parameter in the GARCH(1,1) - model is biased upwards when the parameters of the model are not constant throughout the sample. The present paper explains the mechanics of this behavior for a particular class of estimates of the model parameters and for a particular type of structural change. It shows for any given sample size that the estimated persistence must tend to one in probability if the structural change is ignored and large enough.

[1]  Christopher G. Lamoureux,et al.  Persistence in Variance, Structural Change, and the GARCH Model , 1990 .

[2]  T. Mikosch,et al.  Nonstationarities in Financial Time Series, the Long-Range Dependence, and the IGARCH Effects , 2004, Review of Economics and Statistics.

[3]  Wai Keung Li,et al.  On a Mixture Autoregressive Conditional Heteroscedastic Model , 2001 .

[4]  Huimin Chung,et al.  Estimation of GARCH Models from the Autocorrelations of the Squares of a Process , 2001 .

[5]  T. Bollerslev,et al.  A CONDITIONALLY HETEROSKEDASTIC TIME SERIES MODEL FOR SPECULATIVE PRICES AND RATES OF RETURN , 1987 .

[6]  R. Baillie,et al.  INTRA DAY AND INTER MARKET VOLATILITY IN FOREIGN EXCHANGE RATES , 1991 .

[7]  Ruey S. Tsay,et al.  Nonlinear Time-Series Analysis of Stock Volatilities , 1992 .

[8]  James D. Hamilton,et al.  Autoregressive conditional heteroskedasticity and changes in regime , 1994 .

[9]  Michael J. Dueker Markov Switching in GARCH Processes and Mean-Reverting Stock-Market Volatility , 1997 .

[10]  Christian Francq,et al.  Conditional Heteroskedasticity Driven by Hidden Markov Chains , 2001 .

[11]  Franc J. G. M. Klaassen,et al.  Improving GARCH volatility forecasts with regime-switching GARCH , 2002 .

[12]  Ming Liu,et al.  Modeling long memory in stock market volatility , 2000 .

[13]  Francis X. Dieobold Modeling The persistence Of Conditional Variances: A Comment , 1986 .

[14]  Marc S. Paolella,et al.  A New Approach to Markov-Switching GARCH Models , 2004 .