Dependence Modeling
Dependence Modeling is a statistical framework within financial econometrics that specifies the structure and strength of stochastic relationships among financial assets, distinguishing itself from marginal modeling by focusing exclusively on the joint behavior and tail dependencies captured through copula functions and related multivariate techniques.
5K
Publications
447.1K
Citations
7.3K
Authors
2.4K
Institutions
Publications per year
2017–2026
1.3K
5K
Generalized autoregressive conditional heteroskedasticity
Tim Bollerslev · Journal of Econometrics · 1986 · 22.3K citations · Full text
Business, Finance, Econometrics +11
Statistical analysis of cointegration vectors
Søren Johansen · Journal of Economic Dynamics and Control · 1988 · 16.8K citations
Business, Economics, Econometrics +13
Dynamic Conditional Correlation
Robert F. Engle · Journal of Business and Economic Statistics · 2002 · 7.1K citations
Business, Finance, Econometrics +16
1–5 of 5K
7.3K
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26
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25
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1–5 of 7.3K
2.4K
Technical University of Munich
Munich, Germany
35 h-index
136 publications
10.8K citations
University of Chicago
Chicago, United States
34 h-index
62 publications
12.7K citations

Université Laval
Québec, Canada
34 h-index
105 publications
15.5K citations
ETH Zurich
Zurich, Switzerland
30 h-index
74 publications
7.1K citations

University of British Columbia
Vancouver, Canada
29 h-index
67 publications
8.6K citations
UCLouvain
Louvain-la-Neuve, Belgium
29 h-index
66 publications
3.2K citations
University of Southern California
Los Angeles, United States
28 h-index
48 publications
11.6K citations
Montpellier Business School
Montpellier, France
28 h-index
47 publications
4.2K citations
1–8 of 2.4K
111 publications · 18.1K citations
58
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110 publications · 45.5K citations
54
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Repository · 264 publications · 13.4K citations
54
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140 publications · 8.1K citations
50
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109 publications · 7.2K citations
40
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1–5