Return and volatility spillovers in equity markets: An investigation using various GARCH methodologies

This paper investigates linkages among equity market returns and volatility spillovers in the following countries: Germany, United Kingdom, China, Russia, and Turkey. MARMA, GARCH, GARCH-in-mean, and exponential GARCH (EGARCH) methodologies are applied to daily data on country exchange-traded funds...

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Main Authors: Lidija Dedi, Burhan F. Yavas
Format: Article
Language:English
Published: Taylor & Francis Group 2016-12-01
Series:Cogent Economics & Finance
Subjects:
Online Access:http://dx.doi.org/10.1080/23322039.2016.1266788
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spelling doaj-fe62cd1149a74f7baacb964abb79e9a62021-02-18T13:53:22ZengTaylor & Francis GroupCogent Economics & Finance2332-20392016-12-014110.1080/23322039.2016.12667881266788Return and volatility spillovers in equity markets: An investigation using various GARCH methodologiesLidija Dedi0Burhan F. Yavas1University of ZagrebCalifornia State University-Dominguez HillsThis paper investigates linkages among equity market returns and volatility spillovers in the following countries: Germany, United Kingdom, China, Russia, and Turkey. MARMA, GARCH, GARCH-in-mean, and exponential GARCH (EGARCH) methodologies are applied to daily data on country exchange-traded funds (ETF) based on the MSCI indices from 31 March 2011 to 11 March 2016. The results of the analysis show the existence of significant co-movements of returns among the countries in the sample. ETF returns in Germany, UK, and Russia affect returns in all of the other sample countries. Implications of these findings are explored in terms of portfolio diversification. In addition, the highest volatilities are exhibited by Russia and Turkey. On the other hand, the UK and the Chinese markets have the lowest volatilities. Also, there is a strong evidence of volatility spillovers. All of the countries in the sample, with the exception of UK and Turkey, experience volatility spillovers from other markets. Finally, because of the risk-return trade-off, we analyzed the effect of volatility of the market on its returns and found that only in the UK volatility of the market had a positive effect on its future returns: that an increase in volatility leads to a rise in future ETF returns in the UK.http://dx.doi.org/10.1080/23322039.2016.1266788etfs returnsvolatility persistencevolatility spilloversmarmagarchgarch-in-meanegarch
collection DOAJ
language English
format Article
sources DOAJ
author Lidija Dedi
Burhan F. Yavas
spellingShingle Lidija Dedi
Burhan F. Yavas
Return and volatility spillovers in equity markets: An investigation using various GARCH methodologies
Cogent Economics & Finance
etfs returns
volatility persistence
volatility spillovers
marma
garch
garch-in-mean
egarch
author_facet Lidija Dedi
Burhan F. Yavas
author_sort Lidija Dedi
title Return and volatility spillovers in equity markets: An investigation using various GARCH methodologies
title_short Return and volatility spillovers in equity markets: An investigation using various GARCH methodologies
title_full Return and volatility spillovers in equity markets: An investigation using various GARCH methodologies
title_fullStr Return and volatility spillovers in equity markets: An investigation using various GARCH methodologies
title_full_unstemmed Return and volatility spillovers in equity markets: An investigation using various GARCH methodologies
title_sort return and volatility spillovers in equity markets: an investigation using various garch methodologies
publisher Taylor & Francis Group
series Cogent Economics & Finance
issn 2332-2039
publishDate 2016-12-01
description This paper investigates linkages among equity market returns and volatility spillovers in the following countries: Germany, United Kingdom, China, Russia, and Turkey. MARMA, GARCH, GARCH-in-mean, and exponential GARCH (EGARCH) methodologies are applied to daily data on country exchange-traded funds (ETF) based on the MSCI indices from 31 March 2011 to 11 March 2016. The results of the analysis show the existence of significant co-movements of returns among the countries in the sample. ETF returns in Germany, UK, and Russia affect returns in all of the other sample countries. Implications of these findings are explored in terms of portfolio diversification. In addition, the highest volatilities are exhibited by Russia and Turkey. On the other hand, the UK and the Chinese markets have the lowest volatilities. Also, there is a strong evidence of volatility spillovers. All of the countries in the sample, with the exception of UK and Turkey, experience volatility spillovers from other markets. Finally, because of the risk-return trade-off, we analyzed the effect of volatility of the market on its returns and found that only in the UK volatility of the market had a positive effect on its future returns: that an increase in volatility leads to a rise in future ETF returns in the UK.
topic etfs returns
volatility persistence
volatility spillovers
marma
garch
garch-in-mean
egarch
url http://dx.doi.org/10.1080/23322039.2016.1266788
work_keys_str_mv AT lidijadedi returnandvolatilityspilloversinequitymarketsaninvestigationusingvariousgarchmethodologies
AT burhanfyavas returnandvolatilityspilloversinequitymarketsaninvestigationusingvariousgarchmethodologies
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