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This paper investigates regression quantiles (RQ) for unstable autoregressive models. The unifoem Bahadur representation of the RQ process is obtained. The joint asymptotic distribution of the RQ process is derived in a unified manner for all types of characteristic roots on or outside the unit...
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This paper investigates regression quantiles (RQ) for unstable autoregressive models. The unifoem Bahadur representation of the RQ process is obtained. The joint asymptotic distribution of the RQ process is derived in a unified manner for all types of characteristic roots on or outside the unit...
Persistent link: https://www.econbiz.de/10005639271
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In the last 15 years, several Multivariate GARCH (MGARCH) models have appeared in the literature. Some recent research has begun to examine MGARCH specifications in terms of their out-of-sample forecasting performance. In this paper, we provide an empirical comparison of a set of models, namely...
Persistent link: https://www.econbiz.de/10008876624
DAMGARCH extends the VARMA-GARCH model of Ling and McAleer (2003) by introducing multiple thresholds and time-dependent structure in the asymmetry of the conditional variances. DAMGARCH models the shocks affecting the conditional variances on the basis of an underlying multivariate distribution....
Persistent link: https://www.econbiz.de/10005786725