dc.contributor.author | Σακκάς, Αθανάσιος | |
dc.date.accessioned | 2011-10-25T09:50:37Z | |
dc.date.available | 2011-10-25T09:50:37Z | |
dc.date.issued | 2011-10-25T09:50:37Z | |
dc.identifier.uri | https://dione.lib.unipi.gr/xmlui/handle/unipi/4313 | |
dc.language.iso | el | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.el | |
dc.subject | Econometric models -- Economic conditions -- Greece | |
dc.subject | European Economic Community countries -- Economic conditions | |
dc.title | Testing for causality in variance : the case of the european countries | |
dc.type | Master Thesis | |
europeana.isShownAt | https://dione.lib.unipi.gr/xmlui/handle/unipi/4313 | |
europeana.type | IMAGE | |
dc.identifier.call | 330.015195 ΣΑΚ | |
dc.description.abstractEN | The thesis has mainly two parts. The first part is the Econometric part, where we are
trying to investigate the statistical properties of two methodologies that are used in the
detection of Causality in Variance as well as in the Mean. Through several Monte
Carlo simulations, we are trying to retrieve some conclusions concerning the
empirical performance of these methodologies, using two Data Generating Processes,
the GARCH and the FIGARCH model specifications. These methodologies are based
on the estimation of the Cross Correlation Function for the squared standardised
residuals. These residuals are obtained from the estimation of the univariate GARCH.
The second part involves our empirical application. In this part we are trying to
investigate the volatility as well as the return spillover among eighteen (18) countries
of European Union (EU), based on the two methodologies, using both the GARCH
and FIGARCH models. | |