Statistical Factor Models
Statistical Factor Models is a quantitative method in factor analysis that identifies latent risk factors by applying statistical techniques to asset return data, distinguishing itself from fundamental or economic factor models through its data-driven approach to factor extraction without relying on predefined economic theories.
455
Publications
41.4K
Citations
1K
Authors
550
Institutions
Publications per year
2017–2026
111
455
1–5 of 455
1K
University of California, Los Angeles, United States
12 publications · 3.4K citations
12
h-index
10
h-index
8
h-index
6
h-index
5
h-index
1–5 of 1K
550
University of Chicago
Chicago, United States
11 h-index
13 publications
1.3K citations
Princeton University
Princeton, United States
10 h-index
16 publications
1.3K citations

National Bureau of Economic Research
Cambridge, United States
10 h-index
11 publications
576 citations
University of Michigan
Ann Arbor, United States
8 h-index
9 publications
1.1K citations
Centre for Economic Policy Research
London, United Kingdom
8 h-index
8 publications
358 citations
Stanford University
Stanford, United States
8 h-index
9 publications
835 citations
Columbia University
New York, United States
7 h-index
8 publications
1.7K citations
European Central Bank
Frankfurt am Main, Germany
7 h-index
9 publications
567 citations
1–8 of 550
Repository · 52 publications · 1.9K citations
24
h-index
Repository · 12 publications · 669 citations
11
h-index
9 publications · 684 citations
9
h-index
8 publications · 412 citations
8
h-index
MBR · 8 publications · 1.7K citations
8
h-index
1–5