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Influence of German Stock Market on Stock Markets of V4 Countries

Bibliographic Data

ID10714009
AuthorsPeter Árendáš (0000-0003-1413-2795, Bratislava University of Economics and Business), Božena Chovancová (0000-0003-1253-6446, Bratislava University of Economics and Business), Ľuboš Pavelka (Bratislava University of Economics and Business)
Year2020
Volume68
Issue5
Pages554-568
Publication date2020-10-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolitická ekonomie (JOURNAL)
Journal identifiersISSN: 0032-3233 • E-ISSN: 2336-8225
PublisherPrague University of Economics and Business (PUBLISHER • CZ)
DOI10.18267/j.polek.1288
OpenAlexW3094834527
LanguageEN
References cited35

Due to progressing globalisation and deepening integration of global financial markets, the topic of relations between individual markets has got into the centre of attention of many economists. Especially on the stock markets, we can observe a tendency of the more developed markets to affect developments on the less developed markets. This is also valid for stock markets of the Central and Eastern European (CEE) countries, the V4 countries included. In the case of returns and volatilities of the V4 stock markets, it is possible to expect a strong influence of the German stock market. We follow this influence using the Granger causality. Our analysis shows that in the period 1999-2018, the German DAX stock index was Granger-causing the development of the Czech (PX), Hungarian (BUX) and Polish (WIG 20) stock indices, while this relation was not confirmed for DAX and the Slovak stock index SAX. However, the analysis of two sub-periods (1999-2007 and 2010-2018) shows slightly different results

Czech · Econometrics · Economics · Financial economics · Financial market · Geography · German · Globalization · Granger causality · International economics · Market depth · Market economy · Monetary economics · Slovak · Stock (firearms) · Stock exchange · Stock market · Stock market bubble · Stock market index · Finance · Financial Risk and Volatility Modeling

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Citation velocityhistorical
Highly citedNo

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