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approach,based on the S-estimation method, to construct forecasting models that are less sensitive to data contamination by … accuracy and sign predictability measures. We find that robust models tend to improve the forecasting accuracy of the AR and of …
Persistent link: https://www.econbiz.de/10005008478
Likelihoods and posteriors of instrumental variable regression models with strong endogeneity and/or weak instruments may exhibit rather non-elliptical contours in the parameter space. This may seriously affect inference based on Bayesian credible sets. When approximating such contours using...
Persistent link: https://www.econbiz.de/10005043139
changes in the dynamics of the series, for specifying models parsimoniously, and may be helpful in forecasting. We propose the …
Persistent link: https://www.econbiz.de/10011246294
This paper compares the forecasting performance of different models which have been proposed for forecasting in the … forecasting in the vast majority of cases. However, we find no single forecasting model consistently works best in the presence of …
Persistent link: https://www.econbiz.de/10009002073
This paper addresses the question of the selection of multivariate GARCH models in terms of variance matrix forecasting …
Persistent link: https://www.econbiz.de/10008642224
– 2010 I exhaustively evaluate the forecasting properties of Bayesian shrinkage in regressions with many predictors. Results …
Persistent link: https://www.econbiz.de/10010610451
-term contracts and the new model achieves higher forecasting performance compared to a standard DCC model. …
Persistent link: https://www.econbiz.de/10010610461
In this paper, we forecast EU-area inflation with many predictors using time-varying parameter models. The facts that time-varying parameter models are parameter-rich and the time span of our data is relatively short motivate a desire for shrinkage. In constant coefficient regression models, the...
Persistent link: https://www.econbiz.de/10010610466
is assessed in forecasting three major macroeconomic time series of the UK economy. Databased restrictions of VAR … coefficients can help improve upon their unrestricted counterparts in forecasting, and in many cases they compare favorably to …
Persistent link: https://www.econbiz.de/10010610485
We assess the predictive accuracy of a large number of multivariate volatility models in terms of pricing options on the Dow Jones Industrial Average. We measure the value of model sophistication in terms of dollar losses by considering a set 248 multivariate models that differ in their...
Persistent link: https://www.econbiz.de/10010610494