Fitting high-dimensional copulae to data

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in Buch/Sammelband/GutachtenBeigetragenBegutachtung

Beitragende

  • Ostap Okhrin - , Humboldt-Universität zu Berlin (Autor:in)

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

OriginalspracheEnglisch
TitelHandbook of Computational Finance
Herausgeber (Verlag)Springer Berlin / Heidelberg
Seiten469-501
Seitenumfang33
ISBN (elektronisch)978-3-642-17254-0
ISBN (Print)978-3-642-17253-3
PublikationsstatusVeröffentlicht - 1 Jan. 2012
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

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

Schlagworte

Schlagwörter

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