Cross-sectional Forecasting
Cross-Sectional Forecasting is a forecasting method that predicts outcomes across multiple entities or units at a single point in time, distinguished from time-series approaches by its emphasis on inter-unit variation rather than temporal dynamics.
53
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4.6K
Citations
109
Authors
96
Institutions
Publications per year
2017–2026
14
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Expected Idiosyncratic Skewness
Brian H. Boyer, Todd Mitton, Keith Vorkink · Review of Financial Studies · 2009 · 887 citations
The implied cost of capital: A new approach
Kewei Hou, Mathijs A. van Dijk, Yinglei Zhang · Journal of Accounting and Economics · 2011 · 584 citations · Full text
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The Ohio State University
Columbus, United States
5 h-index
5 publications
757 citations

University of Toronto
Toronto, Canada
4 h-index
5 publications
529 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
4 publications
702 citations
Erasmus University Rotterdam
Rotterdam, The Netherlands
4 h-index
4 publications
702 citations

National Bureau of Economic Research
Cambridge, United States
3 h-index
3 publications
363 citations
Arizona State University
Tempe, United States
2 h-index
3 publications
58 citations

Federal Reserve Bank of Dallas
Dallas, United States
2 h-index
2 publications
122 citations
University of California, Davis
Davis, United States
2 h-index
3 publications
252 citations
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Repository · 14 publications · 669 citations
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3 publications · 204 citations
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1 publications · 51 citations
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1 publications · 45 citations
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