Global financial crisis and VaR performance in emerging markets: A case of EU candidate states - Turkey and Croatia

dc.contributor.author Saŝa Ẑiković
dc.contributor.author Bora Aktan
dc.date.accessioned 2025-10-06T17:53:14Z
dc.date.issued 2009
dc.description.abstract We investigate the relative performance of a wide array of Value at Risk (VaR) models with the daily returns of Turkish (XU100) and Croatian (CROBEX) stock index prior to and during the ongoing financial crisis. In addition to widely used VaR models we also study the behaviour of conditional and unconditional extreme value theory (EVT) and hybrid historical simulation (HHS) models to generate 95 99 and 99.5% confidence level estimates. Results indicate that during the crisis period all tested VaR model except EVT and HHS models seriously underpredict the true level of risk with EVT models doing so at a higher cost of capital compared to HHS model. © 2023 Elsevier B.V. All rights reserved.
dc.identifier.issn 18467520, 13318004
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-72649102866&partnerID=40&md5=e930e355d784a0866a46629a7a298713
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/10343
dc.language.iso English
dc.publisher University of Rijeka Faculty of Economics and Business
dc.source Zbornik radova Ekonomskog fakulteta u Rijeci / Proceedings of Rijeka Faculty of Economics
dc.subject Emerging Markets, Extreme Value Theory, Financial Crisis, Hybrid Historical Simulation, Value At Risk
dc.title Global financial crisis and VaR performance in emerging markets: A case of EU candidate states - Turkey and Croatia
dc.type Article
dspace.entity.type Publication
gdc.coar.type text::journal::journal article
gdc.index.type Scopus
oaire.citation.endPage 170
oaire.citation.startPage 149
person.identifier.scopus-author-id Ẑiković- Saŝa (35239085400), Aktan- Bora (26433026500)
publicationissue.issueNumber 1
publicationvolume.volumeNumber 27
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relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

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