Fitting high-dimensional copulae to data

Research output: Contribution to book/Conference proceedings/Anthology/ReportChapter in book/Anthology/ReportContributedpeer-review

Contributors

  • Ostap Okhrin - , Humboldt University of Berlin (Author)

Abstract

This paper make an overview of the copula theory from a practical side. We consider different methods of copula estimation and different Goodness-of- Fit tests for model selection. In the GoF section we apply Kolmogorov-Smirnov and Cramer-von-Mises type tests and calculate power of these tests under different assumptions. Novating in this paper is that all the procedures are done in dimensions higher than two, and in comparison to other papers we consider not only simple Archimedean and Gaussian copulae but also Hierarchical Archimedean Copulae. Afterwards we provide an empirical part to support the theory.

Details

Original languageEnglish
Title of host publicationHandbook of Computational Finance
PublisherSpringer Berlin / Heidelberg
Pages469-501
Number of pages33
ISBN (electronic)978-3-642-17254-0
ISBN (print)978-3-642-17253-3
Publication statusPublished - 1 Jan 2012
Peer-reviewedYes
Externally publishedYes

External IDs

Scopus 85027017872
ORCID /0000-0002-8909-4861/work/153109625

Keywords

Keywords

  • Statistics for Business/Economics/Mathematical Finance/Insurance, Computational Mathematics and Numerical Analysis, Finance, general