Modeling dependence in high dimensions with factor copulas
Year of publication: |
January 2017
|
---|---|
Authors: | Oh, Dong Hwan ; Patton, Andrew J. |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 35.2017, 1, p. 139-154
|
Subject: | Copulas | Correlation | Dependence | Systemic risk | Tail dependence | Multivariate Verteilung | Multivariate distribution | Statistische Verteilung | Statistical distribution | Korrelation | Systemrisiko | Risikomaß | Risk measure | Theorie | Theory | Zeitreihenanalyse | Time series analysis |
-
Stock-bond dependence and flight to/from quality
Ponrajah, Jeremey, (2023)
-
Multivariate dynamic Copula models : parameter estimation and forecast evaluation
Aepli, Matthias Daniel, (2015)
-
A systemic risk analysis of Islamic equity markets using vine copula and delta CoVaR modeling
Shahzad, Syed Jawad Hussain, (2018)
- More ...
-
Time-Varying Systemic Risk: Evidence from a Dynamic Copula Model of CDS Spreads
Oh, Dong Hwan, (2013)
-
Simulated Method of Moments Estimation for Copula-Based Multivariate Models
Oh, Dong Hwan, (2013)
-
Simulated Method of Moments Estimation for Copula-Based Multivariate Models
Oh, Dong Hwan, (2013)
- More ...