Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market
Oriol Roch Casellas and
Antonio Alegre Escolano
Additional contact information
Antonio Alegre Escolano: Universitat de Barcelona
No 143, Working Papers in Economics from Universitat de Barcelona. Espai de Recerca en Economia
Abstract:
In this paper we deal with the identification of dependencies between time series of equity returns. Marginal distribution functions are assumed to be known, and a bivariate chi-square test of fit is applied in a fully parametric copula approach. Several families of copulas are fitted and compared with Spanish stock market data. The results show that the t-copula generally outperforms other dependence structures, and highlight the difficulty in adjusting a significant number of bivariate data series.
Pages: 18 pages
Date: 2005
New Economics Papers: this item is included in nep-cfn and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.ere.ub.es/dtreball/E05143.rdf/at_download/file
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to www.ere.ub.es:80 (A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.)
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:bar:bedcje:2005143
Access Statistics for this paper
More papers in Working Papers in Economics from Universitat de Barcelona. Espai de Recerca en Economia Espai de Recerca en Economia, Facultat de Ciències Econòmiques. Tinent Coronel Valenzuela, Num 1-11 08034 Barcelona. Spain.. Contact information at EDIRC.
Bibliographic data for series maintained by Espai de Recerca en Economia ().