Out-of-Sample Comparison of Copula Specifications in Multivariate Density Forecasts
By Cees G. H. Diks, Valentyn Panchenko, Dick Van Dijk. 2010
75 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/da5bf6b7039cc958fa3e0ee919fd850aaf5519e2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Jean-David Fermanian
- Andrew J. Patton
- Yanqin Fan
- Brendan K. Beare
- Claudia Czado
- D. Oh
- Rustam Ibragimov
- H. Manner
In Finance
- Andrew J. Patton
- Yanqin Fan
- Jean-David Fermanian
- Brendan K. Beare
- Xiaohong Chen
- Claudia Czado
- D. Oh
- H. Manner
Citations in the corpus
- Copulas in Econometrics (2014, methodology): “Diks et al. (2010) propose comparing copula-based models via their OOS log-likelihoods, using the theory of Giacomini & White (2006) to conduct inference.”
- An Overview of the Goodness-of-Fit Test Problem for Copulas (2012, methodology): “To compare the fit of two potential parametric copulas, the same information criterion has been used in [28] to build a similar test statistics, but based on copula densities directly.”