Abstract
We prove the consistency and asymptotic normality of the Laplacian Quasi-Maximum Likelihood Estimator (QMLE) for a general class of causal time series including ARMA, AR(∞), GARCH, ARCH(∞), ARMA-GARCH, APARCH, ARMA-APARCH,.., processes. We notably exhibit the advantages (moment order and robustness) of this estimator compared to the classical Gaussian QMLE. Numerical simulations confirms the accuracy of this estimator.
| Original language | English |
|---|---|
| Pages (from-to) | 452-479 |
| Number of pages | 28 |
| Journal | Electronic Journal of Statistics |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
| Externally published | Yes |
Keywords
- ARMA-ARCH processes
- Asymptotic normality
- Laplacian quasi-maximum likelihood estimator
- Strong consistency