The Use of Encompassing Tests for Forecast Combinations
November 1, 2007
Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate
Summary
The paper proposes an algorithm that uses forecast encompassing tests for combining forecasts. The algorithm excludes a forecast from the combination if it is encompassed by another forecast. To assess the usefulness of this approach, an extensive empirical analysis is undertaken using a U.S. macroecoomic data set. The results are encouraging as the algorithm forecasts outperform benchmark model forecasts, in a mean square error (MSE) sense, in a majority of cases.
Subject: Economic forecasting, Factor models, Stocks
Keywords: algorithm forecast, data set, null hypothesis, RMSE gain, simple average, WP
Pages:
21
Volume:
2007
DOI:
Issue:
264
Series:
Working Paper No. 2007/264
Stock No:
WPIEA2007264
ISBN:
9781451868272
ISSN:
1018-5941







