A new method of assessing the comparative quality of forecasting models is introduced. This method focuses on the quality of forecasting models over a set of series (cf. the traditionally adopted series-by-series approach)–with a forecasting model that produces good forecasts over a series set described as versatile
We consider combinations of subjective survey forecasts and model-based forecasts from linear and no...
We argue that the current framework for predictive ability testing (e.g., West, 1996) is not necessa...
This paper reviews current density forecast evaluation procedures, and considers a proposal that suc...
A new method of assessing the comparative quality of forecasting models is introduced. This method f...
In this paper we systematically compare forecasting accuracy of hypothesis testing procedures with t...
In many situations arising in Economics it is of interest to compare the forecasting performance of ...
In this paper a forecasting model selection scheme is considered which amounts to testing the predic...
© 2011 by Oxford University Press. All rights reserved.This article focuses on recent developments i...
Ideally, forecasting methods should be evaluated in the situations for which they will be used. Unde...
In this paper it is advocated to select a model only if it significantly contributes to the accuracy...
While the combination of several or more models is often found to improve forecasts (Brandt and Bess...
This thesis evaluates four of the most popular methods for combining time series forecasts. One aspe...
In this paper we demonstrate that forecast encompassing tests are valuable tools in getting an insig...
We introduce tests for multi-horizon superior predictive ability. Rather than comparing forecasts of...
There is a vast literature that has been focusing on testing the forecasting performance of various ...
We consider combinations of subjective survey forecasts and model-based forecasts from linear and no...
We argue that the current framework for predictive ability testing (e.g., West, 1996) is not necessa...
This paper reviews current density forecast evaluation procedures, and considers a proposal that suc...
A new method of assessing the comparative quality of forecasting models is introduced. This method f...
In this paper we systematically compare forecasting accuracy of hypothesis testing procedures with t...
In many situations arising in Economics it is of interest to compare the forecasting performance of ...
In this paper a forecasting model selection scheme is considered which amounts to testing the predic...
© 2011 by Oxford University Press. All rights reserved.This article focuses on recent developments i...
Ideally, forecasting methods should be evaluated in the situations for which they will be used. Unde...
In this paper it is advocated to select a model only if it significantly contributes to the accuracy...
While the combination of several or more models is often found to improve forecasts (Brandt and Bess...
This thesis evaluates four of the most popular methods for combining time series forecasts. One aspe...
In this paper we demonstrate that forecast encompassing tests are valuable tools in getting an insig...
We introduce tests for multi-horizon superior predictive ability. Rather than comparing forecasts of...
There is a vast literature that has been focusing on testing the forecasting performance of various ...
We consider combinations of subjective survey forecasts and model-based forecasts from linear and no...
We argue that the current framework for predictive ability testing (e.g., West, 1996) is not necessa...
This paper reviews current density forecast evaluation procedures, and considers a proposal that suc...