Showing 41 - 50 of 144
We establish the equivalence between a commonly used out-of-sample test of equal predictive accuracy and the difference between two Wald statistics. This equivalence greatly simpli?es the computational burden of calculating recursive out-of-sample tests and evaluating their critical values. Our...
Persistent link: https://www.econbiz.de/10010851239
. Results show that the proposed model is viable and flexible for purposes of forecasting volatility. Model uncertainty is …
Persistent link: https://www.econbiz.de/10010851263
Kernel ridge regression is gaining popularity as a data-rich nonlinear forecasting tool, which is applicable in many …
Persistent link: https://www.econbiz.de/10010851278
relatively parsimonious model which explains data well and performs well in a real time out of sample forecasting. The dynamic …
Persistent link: https://www.econbiz.de/10010851281
This paper puts forward kernel ridge regression as an approach for forecasting with many predictors that are related … overfitting. We extend the kernel ridge regression methodology to enable its use for economic time-series forecasting, by …
Persistent link: https://www.econbiz.de/10010851287
This paper studies the pruned state-space system for higher-order approximations to the solutions of DSGE models. For second- and third-order approximations, we derive the statistical properties of this system and provide closed-form expressions for ?first and second unconditional moments and...
Persistent link: https://www.econbiz.de/10010851288
EuroMInd-D is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom–up approach, pooling the density estimates of eleven GDP components, by output and expenditure type. The components density estimates are obtained from a medium-size dynamic factor model...
Persistent link: https://www.econbiz.de/10011186679
In this paper we develop a testing and modelling procedure for describing the long-term volatility movements over very long return series. For the purpose, we assume that volatility is multiplicatively decomposed into a conditional and an unconditional component as in Amado and Teräsvirta...
Persistent link: https://www.econbiz.de/10009652370
We propose a new generalized forecast error variance decomposition with the property that the proportions of the impact accounted for by innovations in each variable sum to unity. Our decomposition is based on the well-established concept of the generalized impulse response function. The use of...
Persistent link: https://www.econbiz.de/10010935034
Structural change affects the estimation of economic signals, like the underlying growth rate or the seasonally adjusted series. An important issue, which has attracted a great deal of attention also in the seasonal adjustment literature, is its detection by an expert procedure. The...
Persistent link: https://www.econbiz.de/10010885055