Oil price shocks, equity markets, and contagion effect in OECD countries

This paper revisits the dynamic linkages between the Brent oil market and OECD stock markets. Econometrically, we use a multivariate corrected dynamic conditional correlation fractionally integrated asymmetric power ARCH (c-DCC-FIAPARCH) process, controlling main financial time-series features such...

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Main Authors: Khaled Guesmi, Ilyes Abid, Anna Creti, Zied Ftiti
Format: Article
Language:English
Published: Università Carlo Cattaneo LIUC 2020-12-01
Series:The European Journal of Comparative Economics
Subjects:
Online Access:http://ejce.liuc.it/18242979202002/182429792020170201.pdf
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spelling doaj-ef1af99803564301b0b7cca194baac162021-01-07T12:09:42ZengUniversità Carlo Cattaneo LIUCThe European Journal of Comparative Economics1824-29792020-12-0117215518310.25428/1824-2979/202002-155-183Oil price shocks, equity markets, and contagion effect in OECD countriesKhaled GuesmiIlyes AbidAnna CretiZied FtitiThis paper revisits the dynamic linkages between the Brent oil market and OECD stock markets. Econometrically, we use a multivariate corrected dynamic conditional correlation fractionally integrated asymmetric power ARCH (c-DCC-FIAPARCH) process, controlling main financial time-series features such as asymmetry, volatility, and long memory. Based on daily data for 17 OECD stock markets from March 16, 1998 to February 23, 2018, we show three main findings. First, the impact of oil price shocks on the relationship between oil and stock markets is more pronounced during periods of global turmoil and asymmetric in all countries. Second, we do not observe a proper ‘contagion effect’ across all countries. Finally, this paper identifies five groups of countries based on the shape of the dynamic conditional correlation, which indicates that the relationship between oil and stock markets is segmented geographically. The findings have several policy implications.http://ejce.liuc.it/18242979202002/182429792020170201.pdffinancializationconditional correlationssegmented geographicallyc-dcc-fiaparch model
collection DOAJ
language English
format Article
sources DOAJ
author Khaled Guesmi
Ilyes Abid
Anna Creti
Zied Ftiti
spellingShingle Khaled Guesmi
Ilyes Abid
Anna Creti
Zied Ftiti
Oil price shocks, equity markets, and contagion effect in OECD countries
The European Journal of Comparative Economics
financialization
conditional correlations
segmented geographically
c-dcc-fiaparch model
author_facet Khaled Guesmi
Ilyes Abid
Anna Creti
Zied Ftiti
author_sort Khaled Guesmi
title Oil price shocks, equity markets, and contagion effect in OECD countries
title_short Oil price shocks, equity markets, and contagion effect in OECD countries
title_full Oil price shocks, equity markets, and contagion effect in OECD countries
title_fullStr Oil price shocks, equity markets, and contagion effect in OECD countries
title_full_unstemmed Oil price shocks, equity markets, and contagion effect in OECD countries
title_sort oil price shocks, equity markets, and contagion effect in oecd countries
publisher Università Carlo Cattaneo LIUC
series The European Journal of Comparative Economics
issn 1824-2979
publishDate 2020-12-01
description This paper revisits the dynamic linkages between the Brent oil market and OECD stock markets. Econometrically, we use a multivariate corrected dynamic conditional correlation fractionally integrated asymmetric power ARCH (c-DCC-FIAPARCH) process, controlling main financial time-series features such as asymmetry, volatility, and long memory. Based on daily data for 17 OECD stock markets from March 16, 1998 to February 23, 2018, we show three main findings. First, the impact of oil price shocks on the relationship between oil and stock markets is more pronounced during periods of global turmoil and asymmetric in all countries. Second, we do not observe a proper ‘contagion effect’ across all countries. Finally, this paper identifies five groups of countries based on the shape of the dynamic conditional correlation, which indicates that the relationship between oil and stock markets is segmented geographically. The findings have several policy implications.
topic financialization
conditional correlations
segmented geographically
c-dcc-fiaparch model
url http://ejce.liuc.it/18242979202002/182429792020170201.pdf
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