Forecasting Horizon Selection
Forecasting Horizon Selection is the systematic process of determining the optimal time span over which future revenue outcomes are predicted, distinguishing it from other forecasting design choices by focusing specifically on the temporal extent of the prediction task.
80
Publications
5.4K
Citations
185
Authors
123
Institutions
Publications per year
2017–2026
19
80
1–5 of 80
185
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 185
123
Lancaster University
Lancaster, United Kingdom
4 h-index
9 publications
374 citations

Portland State University
Portland, United States
2 h-index
3 publications
90 citations
University of Southern California
Los Angeles, United States
2 h-index
2 publications
59 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
349 citations

University of Calgary
Calgary, Canada
2 h-index
3 publications
75 citations

McGill University
Montreal, Canada
2 h-index
2 publications
94 citations

Brunel University of London
London, United Kingdom
2 h-index
3 publications
150 citations
KU Leuven
Leuven, Belgium
2 h-index
3 publications
81 citations
1–8 of 123
5 publications · 111 citations
5
h-index
Repository · 4 publications · 128 citations
4
h-index
4 publications · 126 citations
4
h-index
Repository · 3 publications · 141 citations
3
h-index
JM · 2 publications · 59 citations
2
h-index
1–5