Showing 61 - 70 of 174
Persistent link: https://www.econbiz.de/10005375209
Using simulations, the paper shows that there is a trade-off in using CLS and 2SLS on the one hand and ML on the other when estimating the parameters of a bivariate threshold vector equilibrium correction model with regime-specific cointegration vectors.
Persistent link: https://www.econbiz.de/10010836296
Using simulations, the paper shows that there is a trade-off in using CLS and 2SLS on the one hand and ML on the other when estimating the parameters of a bivariate threshold vector equilibrium correction model with regime-specific cointegration vectors.
Persistent link: https://www.econbiz.de/10005094629
In this paper, we present a new time series model, which describes self-exciting threshold autoregressive (SETAR) nonlinearity and seasonality simultaneously. The model is termed multiplicative seasonal SETAR (SEASETAR). It can be viewed as a special case of a general non-multiplicative SETAR...
Persistent link: https://www.econbiz.de/10005281874
Persistent link: https://www.econbiz.de/10005429477
In this paper, we present a new time series model, whichdescribes self-exciting threshold autoregressive (SETAR) nonlinearityand seasonality simultaneously. The model is termed multiplicativeseasonal SETAR (SEASETAR). It can be viewed as a special case of ageneral non-multiplicativeSETAR model...
Persistent link: https://www.econbiz.de/10011257290
Persistent link: https://www.econbiz.de/10002465898
The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
Persistent link: https://www.econbiz.de/10010324389
Motivated by the problem of setting prediction intervals in time seriesanalysis, this investigation is concerned with recovering a regression functionm(X_t) on the basis of noisy observations taking at random design pointsX_t.It is presumed that the corresponding observations are corrupted by...
Persistent link: https://www.econbiz.de/10010324657
With the aim to mitigate the possibleproblem of negativity in the estimation of the conditionaldensity function, we introduce a so-called re-weightedNadaraya-Watson (RNW) estimator. The proposed RNWestimator is constructed by a slight modificationof the well-known Nadaraya-Watson...
Persistent link: https://www.econbiz.de/10010324908