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An investigation of riskiness in South and Eastern European markets

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Author Info
Lampros Kalyvas
Athanasios Sfetsos
Costas Siriopoulos
Antonios Georgopoulos
Abstract

The present study adds evidence, from three former emerging and currently transition countries along with two EU member countries of South and Eastern Europe, relevant to the market risk their stock exchanges possess under the same global financial environment. In order to assess market risk, we use four Value-at-Risk methodologies, namely, Historical Simulation (HS), Conditional Historical Simulation (CHS), Extreme Value Theory (EVT) and Conditional Extreme Value Theory (CEVT). Hungary exhibits higher risk under extreme conditions indicating that its market is much more vulnerable than all other markets under study.

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Publisher Info
Article provided by Inderscience Enterprises Ltd in its journal International Journal of Financial Services Management.

Volume (Year): 2 (2007)
Issue (Month): 1 (January)
Pages: 21-33
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Handle: RePEc:mes:ijfsmg:v:2:y:2007:i:1:p:21-33

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Web page: http://inderscience.metapress.com/link.asp?target=journal&id=119833

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Related research
Keywords: riskiness; financial markets; financial services; value-at-risk; extreme value theory; historical simulation; south-eastern Europe;

Cited by:
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  1. Ozun, Alper & Cifter, Atilla & Yilmazer, Sait, 2007. "Filtered Extreme Value Theory for Value-At-Risk Estimation," MPRA Paper 3302, University Library of Munich, Germany. [Downloadable!]
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