dc.contributor.author | Tsiaras, Konstantinos | |
dc.date.accessioned | 2022-10-31T08:08:14Z | |
dc.date.available | 2022-10-31T08:08:14Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Ekonomická revue. 2019, roč. 22, č. 1, s. 5-14 : il. | cs |
dc.identifier.issn | 1212-3951 | cs |
dc.identifier.uri | http://hdl.handle.net/10084/148823 | |
dc.description.abstract | This paper seeks to investigate the time-varying conditional correlations to the crude oil futures contract returns and
the private Credit Default Swap market returns of Germany and France. We employ a dynamic conditional correla-
tion (DCC) Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) model to find potential conta-
gion effects between the markets. The time under investigation is the 2011±2018 period. We focus on the CDSs of
the biggest banks in Germany and France, namel\: Sociptp Gpnprale and Deutsche Bank AG, using 3-, 4- and 5-
year maturity CDSs. Empirical results show an increase in conditional correlation or contagion for the following
pairs of markets: Sociptp Gpnprale CDS 3Y-Crude oil futures; Sociptp Gpnprale CDS 4Y-Crude oil futures; and
Sociptp Gpnprale CDS 5Y-Crude oil futures for two periods (10/2014±12/2014 and 04/2017±11/2017). The results
are of interest to policymakers who provide regulations for the CDS markets | cs |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.relation.ispartofseries | Ekonomická revue | cs |
dc.relation.uri | https://dokumenty.vsb.cz/docs/files/cs/11dc8bac-f3bb-49e8-aa5a-b8e0c36d41e3 | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.rights | Attribution-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | * |
dc.subject | cDCC-GARCH model | cs |
dc.subject | CDS market | cs |
dc.subject | crude oil futures market | cs |
dc.subject | financial contagion | cs |
dc.subject | dynamic conditional correlations | cs |
dc.title | Contagion in Crude Oil Futures Market and 3Y, 4Y and 5Y CDS Markets for the Post- Global Financial Crisis Period: A Multivariate GARCH-cDCC Approach | cs |
dc.type | article | cs |
dc.identifier.doi | 10.7327/cerei.2019.03.01 | cs |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |