Abstract
Using an approach based on linear conditional expectations, we define a class of weak ARMA-GARCH representations. The generality of the class is illustrated through a collection of examples. We propose a two-stage estimation procedure based on the minimization of sums of squared linear predictions errors. Strong consistency and asymptotic normality of the estimator are established under ergodic and mixing assumptions.
| Translated title of the contribution | Estimating weak GARCH representations |
|---|---|
| Original language | French |
| Pages (from-to) | 495-498 |
| Number of pages | 4 |
| Journal | Comptes Rendus de l'Academie des Sciences - Series I: Mathematics |
| Volume | 326 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Jan 1998 |
| Externally published | Yes |
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