A METHOD FOR SYSTEMIC RISK ESTIMATION BASED ON CDS INDICES
Gabriel Gaiduchevici ()
Additional contact information
Gabriel Gaiduchevici: Bucharest University of Economic Studies, Bucharest, Romania
Review of Economic and Business Studies, 2015, issue 15, 103-124
Abstract:
The copula-GARCH approach provides a flexible and versatile method for modeling multivariate time series. In this study we focus on describing the credit risk dependence pattern between real and financial sectors as it is described by two representative iTraxx indices. Multi-stage estimation is used for parametric ARMA-GARCH-copula models. We derive critical values for the parameter estimates using asymptotic, bootstrap and copula sampling methods. The results obtained indicate a positive symmetric dependence structure with statistically significant tail dependence coefficients. Goodness-of-Fit tests indicate which model provides the best fit to data.
Keywords: copula; CDS; tail dependence; systemic risk (search for similar items in EconPapers)
JEL-codes: C15 C32 C51 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://rebs.feaa.uaic.ro/articles/pdfs/193.pdf (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:aic:revebs:y:2015:j:15:gaiduchevicig
Access Statistics for this article
More articles in Review of Economic and Business Studies from Alexandru Ioan Cuza University, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Sireteanu Napoleon-Alexandru ().