Detection of Structural Breaks in Copula Models
Boris Brodsky (),
Henry Penikas and
Irina Safaryan ()
Additional contact information
Boris Brodsky: Central Economic-Mathematical Institute, Russia
Irina Safaryan: Russian-Armenian (Slavonic) State University
Applied Econometrics, 2009, vol. 16, issue 4, 3-15
Abstract:
The paper presents the research results on detection of structural breaks in copula models of multivariate time-series. A nonparametric method of structural break identification and estimation is used and its asymptotic characteristics (probabilities of the I and II-type errors, probability of estimation error) are analyzed. Simulation test results applied to Clayton and Gumbel copulas are presented and discussed
Keywords: Copula; structural break; Kolmogorov-Smirnov statistics; interest rates; MosPrime; LIBOR; EURIBOR (search for similar items in EconPapers)
JEL-codes: C12 C46 E43 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://pe.cemi.rssi.ru/pe_2009_4_03-15.pdf Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ris:apltrx:0038
Access Statistics for this article
Applied Econometrics is currently edited by Anatoly Peresetsky
More articles in Applied Econometrics from Russian Presidential Academy of National Economy and Public Administration (RANEPA)
Bibliographic data for series maintained by Anatoly Peresetsky ().