Regression-based Forecast Combination
Regression-Based Forecast Combination is a forecast combination method that uses linear regression to estimate the optimal weights for aggregating individual forecasts, distinguishing itself by relying on historical forecast errors to determine the weighting structure.
38
Publications
3.5K
Citations
83
Authors
56
Institutions
Publications per year
2017–2026
11
Parents
38
Combining Bond Rating Forecasts Using Logit
Mark J. Kamstra, Peter Kennedy, Teck‐Kin Suan · Financial Review · 2001 · 108 citations
1–5 of 38
83
4
h-index
National and Kapodistrian University of Athens, Greece
4 publications · 103 citations
4
h-index
4
h-index
Athens University of Economics and Business, Greece
4 publications · 103 citations
4
h-index
3
h-index
1–5 of 83
56

Athens University of Economics and Business
Athens, Greece
4 h-index
4 publications
103 citations

National and Kapodistrian University of Athens
Athens, Greece
4 h-index
4 publications
103 citations

University of Essex
Colchester, United Kingdom
3 h-index
3 publications
50 citations
Texas A&M University
College Station, United States
2 h-index
2 publications
90 citations

Washington University in St. Louis
St Louis, United States
2 h-index
3 publications
2.5K citations
Bank of Mexico
Mexico City, Mexico
2 h-index
2 publications
144 citations
University of Kent
Canterbury, United Kingdom
2 h-index
2 publications
79 citations
University of California San Diego
San Diego, United States
2 h-index
2 publications
144 citations
1–8 of 56
5 publications · 213 citations
5
h-index
Repository · 4 publications · 471 citations
4
h-index
JBES · 4 publications · 365 citations
4
h-index
2 publications · 47 citations
2
h-index
1 publications · 42 citations
1
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1–5