Contagion among Central and Eastern European stock markets during the financial crisis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00396416" target="_blank" >RIV/67985556:_____/13:00396416 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11230/13:10159095
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Contagion among Central and Eastern European stock markets during the financial crisis
Popis výsledku v původním jazyce
This paper contributes to the literature on international stock market comovements and contagion. The novelty of our approach lies in application of wavelet tools to high-frequency financial market data, which allows us to understand the relationship between stock markets in a time-frequency domain. While major part of economic time series analysis is done in time or frequency domain separately, wavelet analysis combines these two fundamental approaches. Wavelet techniques uncover interesting dynamics of correlations between the Central and Eastern European (CEE) stock markets and the German DAX at various investment horizons. The results indicate that connection of the CEE markets to the leading market of the region is significantly lower at higher frequencies in comparison to the lower frequencies. Contrary to previous literature, we document significantly lower contagion between the CEE markets and the German DAX after the large 2008 stock market crash.
Název v anglickém jazyce
Contagion among Central and Eastern European stock markets during the financial crisis
Popis výsledku anglicky
This paper contributes to the literature on international stock market comovements and contagion. The novelty of our approach lies in application of wavelet tools to high-frequency financial market data, which allows us to understand the relationship between stock markets in a time-frequency domain. While major part of economic time series analysis is done in time or frequency domain separately, wavelet analysis combines these two fundamental approaches. Wavelet techniques uncover interesting dynamics of correlations between the Central and Eastern European (CEE) stock markets and the German DAX at various investment horizons. The results indicate that connection of the CEE markets to the leading market of the region is significantly lower at higher frequencies in comparison to the lower frequencies. Contrary to previous literature, we document significantly lower contagion between the CEE markets and the German DAX after the large 2008 stock market crash.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AH - Ekonomie
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GBP402%2F12%2FG097" target="_blank" >GBP402/12/G097: DYME-Dynamické modely v ekonomii</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Finance a úvěr-Czech Journal of Economics and Finance
ISSN
0015-1920
e-ISSN
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Svazek periodika
63
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
17
Strana od-do
443-453
Kód UT WoS článku
000326923700004
EID výsledku v databázi Scopus
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