Forecast Combination Evaluation
Forecast Combination Evaluation is a systematic methodological framework within revenue forecast validation that assesses the relative accuracy, robustness, and reliability of combined forecasting models by integrating multiple individual forecasts and evaluating their aggregated performance against empirical outcomes.
211
Publications
17K
Citations
385
Authors
279
Institutions
Publications per year
2017–2026
57
Parents
211
Combination forecasts of output growth in a seven‐country data set
James H. Stock, Mark W. Watson · Journal of Forecasting · 2004 · 1.2K citations
Business, Economics, Econometrics +14
Averages of Forecasts: Some Empirical Results
Spyros Makridakis, Robert L. Winkler · Management Science · 1983 · 626 citations
Business, Data Science, Forecasting +15
1–5 of 211
385
10
h-index
4
h-index
4
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National Institute of Economic and Social Research, United Kingdom
4 publications · 415 citations
4
h-index
4
h-index
1–5 of 385
279
University of California San Diego
San Diego, United States
9 h-index
11 publications
1K citations
Centre for Economic Policy Research
London, United Kingdom
8 h-index
8 publications
487 citations
European Central Bank
Frankfurt am Main, Germany
7 h-index
11 publications
1.2K citations

The University of Sydney
Sydney, Australia
6 h-index
9 publications
451 citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
6 publications
226 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
5 h-index
6 publications
520 citations

Australian National University
Canberra, Australia
5 h-index
5 publications
108 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
15 publications
1.4K citations
1–8 of 279
27 publications · 2.1K citations
20
h-index
27 publications · 2.4K citations
18
h-index
Repository · 16 publications · 959 citations
14
h-index
JBES · 8 publications · 748 citations
8
h-index
7 publications · 1.6K citations
7
h-index
1–5