Showing 1 - 10 of 28
Linearity testing against smooth transition autoregressive (STAR) models when deterministic trends are potentially present in the data is considered in this paper. As opposed to recently reported results in Zhang (2012), we show that linearity tests against STAR models lead to useful results in...
Persistent link: https://www.econbiz.de/10010851237
states and forecasting swap rates and caps. Our fi?ndings suggest that the unscented Kalman fi?lter may prove to be a good …
Persistent link: https://www.econbiz.de/10010851253
One of the most infl?uential research ?fields in econometrics over the past decades concerns unit root testing in economic time series. In macro-economics much of the interest in the area originate from the fact that when unit roots are present, then shocks to the time series processes have a...
Persistent link: https://www.econbiz.de/10010851298
In this paper we extend the CKLS one factor short rate model to include extreme value nonlinear mean reversion. Similarly to a recent stock market study, we include the smallest short rate during the previous year in the mean equation. We investigate the US and five other major markets (Canada,...
Persistent link: https://www.econbiz.de/10005440056
In this paper we consider the third-moment structure of a class of time series models. It is often argued that the marginal distribution of financial time series such as returns is skewed. Therefore it is of importance to know what properties a model should possess if it is to accommodate...
Persistent link: https://www.econbiz.de/10005440080
The use of large-dimensional factor models in forecasting has received much attention in the literature with the … model which is better suited for forecasting compared to the traditional principal components (PC) approach.We provide an … asymptotic analysis of the estimator and illustrate its merits empirically in a forecasting experiment based on US macroeconomic …
Persistent link: https://www.econbiz.de/10010851192
We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear time-series models. We assume both the number of covariates in the model and candidate variables can increase with the number of observations and the number of candidate variables is,...
Persistent link: https://www.econbiz.de/10010851219
We study the simultaneous occurrence of long memory and nonlinear effects, such as parameter changes and threshold effects, in ARMA time series models and apply our modeling framework to daily realized volatility. Asymptotic theory for parameter estimation is developed and two model building...
Persistent link: https://www.econbiz.de/10010851244
-sample forecasting regressions. The predictive power of the model stays high at longer horizons. The estimated factors are strongly …
Persistent link: https://www.econbiz.de/10010851257
variable selection and estimation in one step. We evaluate the forecasting accuracy of these estimators for a large set of …
Persistent link: https://www.econbiz.de/10010851261