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| Author: | Baillie, R. |
| Title: | Fractionally integrated generalized autoregressive conditional heteroscedasticity |
| Journal: | Journal of Econometrics
1996 : SEP, VOL. 74:1, p. 3-30 |
| Index terms: | ECONOMETRICS ECONOMICS HETEROSCEDASTICITY |
| Language: | eng |
| Abstract: | The new class of Fractionally Integrated Generalized AutoRegressive Conditionally Heteroskedastic (FIGARCH) processes is introduced. The conditional variance of the process implies a slow hyperbolic rate of decay for the influence of lagged squared innovations. Unlike I(d) processes for the mean, Maximum Likelihood Estimates (MLE) of the FIGARCH parameters are argued to be T1/2-consistent. The small-sample behavior of an approximate MLE procedure is assessed through a simulation study, which also documents how the estimation of a standard GARCH model tends to produce integrated, or IGARCH , like estimates. |
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