Please use this identifier to cite or link to this item: http://librepo1.snspa.ro:8080/jspui/handle/123456789/105
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dc.contributor.authorAnghel, Lucian Claudiu-
dc.contributor.authorZwak-Cantoriu, Maria-Cristina-
dc.contributor.authorMendon, Suhan-
dc.contributor.authorAttila, Gyorgy-
dc.contributor.authorErmis, Simona-
dc.contributor.authorTrivedi, Jatin-
dc.date.accessioned2023-08-17T07:58:01Z-
dc.date.available2023-08-17T07:58:01Z-
dc.date.issued2022-
dc.identifier.citationAnghel, L.C., Zwak-Cantoriu, M.C., Mendon, S., Gyorgy, A., Ermiș, S., & Trivedi, J., (2022), Financial Market Interconnections Analyzed Using GARCH Univariate and Multivariate Models. Economic Computation and Economic Cybernetics Studies and Research, 56(3)/2022; 101-118.en_US
dc.identifier.uri10.24818/18423264/56.3.22.07-
dc.identifier.urihttp://librepo1.snspa.ro:8080/jspui/handle/123456789/105-
dc.description.abstractGiven that the financial markets are facing the effects of the coronavirus pandemic, we chose to perform an analysis on them, in order to see the transmission of volatility, the effects of the contagion and the interconnection between the financial markets. Using stock indices from different countries and applying theoretical and empirical methods such as univariate and multivariate models (ARCH–GARCH, BEKK), we aim to capture volatility and bidirectional contagion, as well as testing and occurring the phenomenon of clustering volatility and its transmission effect.en_US
dc.language.isoenen_US
dc.publisherEconomic Computation and Economic Cybernetics Studies and Researchen_US
dc.subjectvolatilityen_US
dc.subjectcontagionen_US
dc.subjectclusteringen_US
dc.subjectARCH–GARCH modelsen_US
dc.subjectGARCH–BEKK modelsen_US
dc.titleFinancial Market Interconnections Analyzed Using GARCH Univariate and Multivariate Modelsen_US
dc.typeArticleen_US
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