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Applying nonparametric variable selection criteria in nonlinear regression models generally requires a substantial computational effort if the data set is large. In this paper we present a selection technique that is computationally much less demanding and performs well in comparison with...
Persistent link: https://www.econbiz.de/10010310027
In this paper, we propose two parametric alternatives to the standard GARCH model. They allow the conditional variance … regimes over time is smooth. A modelling strategy for these new time-varying parameter GARCH models is developed. It relies on …
Persistent link: https://www.econbiz.de/10010281252
Changes in the seasonal patterns of macroeconomic time series may be due to the effects of business cycle fluctuations or to technological and institutional change or both. We examine the relative importance of these two sources of change in seasonality for quarterly industrial production series...
Persistent link: https://www.econbiz.de/10010281393
This paper contains two novelties. First, a unified framework for testing and evaluating the adequacy of an estimated autoregressive conditional duration (ACD) model is presented. Second, two new classes of ACD models, the smooth transition ACD model and the time-varying ACD model, are...
Persistent link: https://www.econbiz.de/10010281462
In this paper we introduce the STAR-STGARCH model that can characterizenonlinear behaviour both in the conditional mean … distribution theory. We illustrate the actual modelling byapplying the STAR-STGARCH model family to two series of dailyobservations …
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