Startseite Long-Run Volatility Memory Dynamics and Inter-Market Linkages in GCC Equity Markets: Application of DCC-FIGARCH Models
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Long-Run Volatility Memory Dynamics and Inter-Market Linkages in GCC Equity Markets: Application of DCC-FIGARCH Models

  • Mohamed Ismail Mohamed Riyath ORCID logo EMAIL logo und Nagham Aldabbous
Veröffentlicht/Copyright: 11. November 2024
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Abstract

The study investigates volatility persistence, long-term memory and time-varying conditional correlations among the stock markets of the Gulf Cooperation Council (GCC) countries. Daily equity index data between 2012 and 2024 were analyzed using univariate fractionally integrated generalized autoregressive conditional heteroskedasticity (FIGARCH) models to examine long-memory behavior and multivariate dynamic conditional correlation (DCC) models to assess conditional correlations between these markets. For each of the GCC equity markets, the analysis highlighted large degrees of long-memory and volatility persistence. Finally, the DCC model shows that strong and dynamic Intermarket links among the GCC, especially between KSA and UAE, exist and reflect significant volatility spillover from good economic ties. This study fills the gap in the literature by providing a comprehensive understanding of long-run volatility memory and inter-market associations in the GCC stock markets.

JEL Classification: C22; C53; E44; G11; G14; G17; G24; G32

Corresponding author: Mohamed Ismail Mohamed Riyath, Department of Accountancy and Finance, Faculty of Management and Commerce, South Eastern University of Sri Lanka, Oluvil, Sri Lanka, E-mail:

References

Abdollahi, H., J.-P. Junttila, and H. Lehkonen. 2024. “Clustering Asset Markets Based on Volatility Connectedness to Political News.” Journal of International Financial Markets, Institutions and Money 93: 102004, https://doi.org/10.1016/j.intfin.2024.102004.Suche in Google Scholar

Aboura, S., and J. Chevallier. 2014. “Volatility Equicorrelation: A Cross-Market Perspective.” Economics Letters 122 (2): 289–95. https://doi.org/10.1016/j.econlet.2013.12.008.Suche in Google Scholar

Abraham, A., and F. J. Seyyed. 2006. “Information Transmission between the Gulf Equity Markets of Saudi Arabia and Bahrain.” Research in International Business and Finance 20 (3): 276–85. https://doi.org/10.1016/j.ribaf.2005.05.007.Suche in Google Scholar

Abuzayed, B., and N. Al-Fayoumi. 2021. “Risk Spillover from Crude Oil Prices to GCC Stock Market Returns: New Evidence during the COVID-19 Outbreak.” The North American Journal of Economics and Finance 58: 101476, https://doi.org/10.1016/j.najef.2021.101476.Suche in Google Scholar

Aggarwal, V., A. Doifode, and M. K. Tiwary. 2021. “Do Lower Foreign Flows and Higher Domestic Flows Reduce Indian Equity Market Volatility?” Vision: The Journal of Business Perspective 26 (4): 461–70. https://doi.org/10.1177/0972262921990981.Suche in Google Scholar

Al-Fayoumi, N., E. Bouri, and B. Abuzayed. 2023. “Decomposed Oil Price Shocks and GCC Stock Market Sector Returns and Volatility.” Energy Economics 126: 106930, https://doi.org/10.1016/j.eneco.2023.106930.Suche in Google Scholar

Al-Yahyaee, K. H., W. Mensi, A. Sensoy, and S. H. Kang. 2019. “Energy, Precious Metals, and GCC Stock Markets: Is There Any Risk Spillover?” Pacific-Basin Finance Journal 56: 45–70, https://doi.org/10.1016/j.pacfin.2019.05.006.Suche in Google Scholar

Al‐Maadid, A., G. Maria Caporale, F. Spagnolo, and N. Spagnolo. 2020. “Political Tension and Stock Markets in the Arabian Peninsula.” International Journal of Finance & Economics 26 (1): 679–83. https://doi.org/10.1002/ijfe.1810.Suche in Google Scholar

Alfreedi, A. A. 2018. “Shocks and Volatility Spillover between Stock Markets of Developed Countries and GCC Stock Markets.” Journal of Taibah University for Science 13 (1): 112–20. https://doi.org/10.1080/16583655.2018.1544348.Suche in Google Scholar

Alkathery, M. A., K. Chaudhuri, and M. A. Nasir. 2022. “Implications of Clean Energy, Oil and Emissions Pricing for the GCC Energy Sector Stock.” Energy Economics 112: 106119, https://doi.org/10.1016/j.eneco.2022.106119.Suche in Google Scholar

Alotaibi, A. R., and A. V. Mishra. 2015. “Global and Regional Volatility Spillovers to GCC Stock Markets.” Economic Modelling 45: 38–49, https://doi.org/10.1016/j.econmod.2014.10.052.Suche in Google Scholar

Alqahtani, A., E. Bouri, and X. V. Vo. 2020. “Predictability of GCC Stock Returns: The Role of Geopolitical Risk and Crude Oil Returns.” Economic Analysis and Policy 68: 239–49, https://doi.org/10.1016/j.eap.2020.09.017.Suche in Google Scholar

Alqahtani, A., and J. Chevallier. 2020. “Dynamic Spillovers between Gulf Cooperation Council’s Stocks, VIX, Oil and Gold Volatility Indices.” Journal of Risk and Financial Management 13 (4): 69. https://doi.org/10.3390/jrfm13040069.Suche in Google Scholar

Arouri, M. E. H., A. Lahiani, and D. K. Nguyen. 2011. “Return and Volatility Transmission between World Oil Prices and Stock Markets of the GCC Countries.” Economic Modelling 28 (4): 1815–25. https://doi.org/10.1016/j.econmod.2011.03.012.Suche in Google Scholar

Atousa, J., and S. Meysam. 2015. “Impact of Oil Price Fluctuations on Returns of Different Sectors of Malaysian Stock Market.” Journal of Modern Accounting and Auditing 11 (3). https://doi.org/10.17265/1548-6583/2015.03.005.Suche in Google Scholar

Baillie, R. T., T. Bollerslev, and H. O. Mikkelsen. 1996. “Fractionally Integrated Generalized Autoregressive Conditional Heteroskedasticity.” Journal of Econometrics 74 (1): 3–30. https://doi.org/10.1016/s0304-4076(95)01749-6.Suche in Google Scholar

Balcilar, M., and Z. A. Ozdemir. 2019. “The Volatility Effect on Precious Metals Price Returns in a Stochastic Volatility in Mean Model with Time-Varying Parameters.” Physica A: Statistical Mechanics and its Applications 534: 122329, https://doi.org/10.1016/j.physa.2019.122329.Suche in Google Scholar

Balli, F., S. A. Basher, and R. Jean Louis. 2013. “Sectoral Equity Returns and Portfolio Diversification Opportunities across the GCC Region.” Journal of International Financial Markets, Institutions and Money 25: 33–48, https://doi.org/10.1016/j.intfin.2013.01.001.Suche in Google Scholar

Bigerna, S., M. C. D’Errico, P. Polinori, and P. Simshauser. 2023. “Net-Zero Policy vs Energy Security: The Impact on GCC Countries.” Energy Journal 44 (1_suppl): 1–32. https://doi.org/10.5547/01956574.44.si1.sbig.Suche in Google Scholar

Bley, J., and M. Saad. 2011. “The Effect of Financial Liberalization on Stock-Return Volatility in GCC Markets.” Journal of International Financial Markets, Institutions and Money 21 (5): 662–85. https://doi.org/10.1016/j.intfin.2011.04.003.Suche in Google Scholar

Bollerslev, T. 1986. “Generalized Autoregressive Conditional Heteroskedasticity.” Journal of Econometrics 31 (3): 307–27. https://doi.org/10.1016/0304-4076(86)90063-1.Suche in Google Scholar

Bonga-Bonga, L. 2013. “Transmission of Volatility Shocks between the Equity and Foreign Exchange Markets in South Africa.” Journal of Applied Business Research 29 (5): 1529. https://doi.org/10.19030/jabr.v29i5.8034.Suche in Google Scholar

Boubaker, H., and N. Sghaier. 2016. “Markov-Switching Time-Varying Copula Modeling of Dependence Structure between Oil and GCC Stock Markets.” Open Journal of Statistics 06 (04): 565–89. https://doi.org/10.4236/ojs.2016.64048.Suche in Google Scholar

Box, G. E., G. M. Jenkins, G. C. Reinsel, and G. M. Ljung. 2015. Time Series Analysis: Forecasting and Control. Hoboken, NJ: John Wiley & Sons.Suche in Google Scholar

Chaffai, M., and I. Medhioub. 2018. “Herding Behavior in Islamic GCC Stock Market: A Daily Analysis.” International Journal of Islamic and Middle Eastern Finance and Management 11 (2): 182–93. https://doi.org/10.1108/imefm-08-2017-0220.Suche in Google Scholar

Charfeddine, L., and H. Al Refai. 2019. “Political Tensions, Stock Market Dependence and Volatility Spillover: Evidence from the Recent Intra-GCC Crises.” The North American Journal of Economics and Finance 50: 101032, https://doi.org/10.1016/j.najef.2019.101032.Suche in Google Scholar

Chen, X., H. Zhu, X. Zhang, and L. Zhao. 2022. “A Novel Time-Varying FIGARCH Model for Improving Volatility Predictions.” Physica A: Statistical Mechanics and its Applications 589: 126635, https://doi.org/10.1016/j.physa.2021.126635.Suche in Google Scholar

Cheung, Y.-W., and C. Y.-P. Wong. 2000. “A Survey of Market Practitioners’ Views on Exchange Rate Dynamics.” Journal of International Economics 51 (2): 401–19. https://doi.org/10.1016/s0022-1996(99)00009-4.Suche in Google Scholar

Clements, A. E., A. S. Hurn, and V. V. Volkov. 2016. “Common Trends in Global Volatility.” Journal of International Money and Finance 67: 194–214, https://doi.org/10.1016/j.jimonfin.2016.05.001.Suche in Google Scholar

Cochran, S. J., I. Mansur, and B. Odusami. 2012. “Volatility Persistence in Metal Returns: A FIGARCH Approach.” Journal of Economics and Business 64 (4): 287–305. https://doi.org/10.1016/j.jeconbus.2012.03.001.Suche in Google Scholar

Diebold, F. X., and K. Yilmaz. 2012. “Better to Give Than to Receive: Predictive Directional Measurement of Volatility Spillovers.” International Journal of Forecasting 28 (1): 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006.Suche in Google Scholar

Engle, R. 2002. “Dynamic Conditional Correlation.” Journal of Business & Economic Statistics 20 (3): 339–50. https://doi.org/10.1198/073500102288618487.Suche in Google Scholar

Fasanya, I. O., O. J. Oyewole, O. B. Adekoya, and F. O. Badaru. 2021. “Oil Price and Stock Market Behaviour in GCC Countries: Do Asymmetries and Structural Breaks Matter?” Energy Strategy Reviews 36: 100682, https://doi.org/10.1016/j.esr.2021.100682.Suche in Google Scholar

Feng, Q., X. Sun, C. Liu, and J. Li. 2021. “Spillovers between Sovereign CDS and Exchange Rate Markets: The Role of Market Fear.” The North American Journal of Economics and Finance 55: 101308, https://doi.org/10.1016/j.najef.2020.101308.Suche in Google Scholar

Fleming, J., C. Kirby, and B. Ostdiek. 1998. “Information and Volatility Linkages in the Stock, Bond, and Money Markets.” Journal of Financial Economics 49 (1): 111–37. https://doi.org/10.1016/s0304-405x(98)00019-1.Suche in Google Scholar

Gabbori, D., B. Awartani, A. I. Maghyereh, and N. Virk. 2021. “Are Herding Transmissions in the Gulf Cooperation Council Stock Markets Regional or International?” Review of Behavioral Finance 14 (5): 588–611. https://doi.org/10.1108/rbf-06-2020-0137.Suche in Google Scholar

Gil-Alana, L. A., J. Infante, and M. A. Martín-Valmayor. 2023. “Persistence and Long Run Co-movements across Stock Market Prices.” The Quarterly Review of Economics and Finance 89: 347–57, https://doi.org/10.1016/j.qref.2022.10.001.Suche in Google Scholar

Golosnoy, V., B. Gribisch, and R. Liesenfeld. 2015. “Intra-daily Volatility Spillovers in International Stock Markets.” Journal of International Money and Finance 53: 95–114, https://doi.org/10.1016/j.jimonfin.2015.01.002.Suche in Google Scholar

Hkiri, B., S. Hammoudeh, C. Aloui, and M. Shahbaz. 2018. “The Interconnections between U.S. Financial CDS Spreads and Control Variables: New Evidence Using Partial and Multivariate Wavelet Coherences.” International Review of Economics & Finance 57: 237–57, https://doi.org/10.1016/j.iref.2018.01.011.Suche in Google Scholar

Huber, C., J. Huber, and M. Kirchler. 2022. “Volatility Shocks and Investment Behavior.” Journal of Economic Behavior & Organization 194: 56–70, https://doi.org/10.1016/j.jebo.2021.12.007.Suche in Google Scholar

Hussain, M., and R. U. Rehman. 2022. “Volatility Connectedness of GCC Stock Markets: How Global Oil Price Volatility Drives Volatility Spillover in GCC Stock Markets?” Environmental Science and Pollution Research 30 (6): 14212–22. https://doi.org/10.1007/s11356-022-23114-5.Suche in Google Scholar

Hussain, M., and R. U. Rehman. 2023. “Volatility Connectedness of GCC Stock Markets: How Global Oil Price Volatility Drives Volatility Spillover in GCC Stock Markets?” Environmental Science and Pollution Research 30 (6): 14212–22. https://doi.org/10.1007/s11356-022-23114-5.Suche in Google Scholar

Kapar, B., S. M. Billah, F. Rana, and F. Balli. 2024. “An Investigation of the Frequency Dynamics of Spillovers and Connectedness Among GCC Sectoral Indices.” International Review of Economics & Finance 89: 1442–67, https://doi.org/10.1016/j.iref.2023.09.004.Suche in Google Scholar

Liu, C., X. Sun, and J. Li. 2023. “Time-frequency Comovements between Sovereign CDS and Exchange Rates: The Role of Sentiments.” Global Finance Journal 56: 100775, https://doi.org/10.1016/j.gfj.2022.100775.Suche in Google Scholar

Liu, L. 2013. “International Stock Market Interdependence: Are Developing Markets the Same as Developed Markets?” Journal of International Financial Markets, Institutions and Money 26: 226–38, https://doi.org/10.1016/j.intfin.2013.06.003.Suche in Google Scholar

Löwen, C., B. Kchouri, and T. Lehnert. 2021. “Is This Time Really Different? Flight-To-Safety and the COVID-19 Crisis.” PLoS One 16 (5): e0251752. https://doi.org/10.1371/journal.pone.0251752.Suche in Google Scholar

Maghyereh, A. I., B. Awartani, and E. Bouri. 2016. “The Directional Volatility Connectedness between Crude Oil and Equity Markets: New Evidence from Implied Volatility Indexes.” Energy Economics 57: 78–93, https://doi.org/10.1016/j.eneco.2016.04.010.Suche in Google Scholar

Mandelbrot, B. 1963. “New Methods in Statistical Economics.” Journal of Political Economy 71 (5): 421–40. https://doi.org/10.1086/258792.Suche in Google Scholar

Marra, M. 2017. “Explaining Co-movements between Equity and CDS Bid-Ask Spreads.” Review of Quantitative Finance and Accounting 49 (3): 811–53. https://doi.org/10.1007/s11156-016-0609-6.Suche in Google Scholar

Mezghani, T., and M. Boujelbène. 2018. “The Contagion Effect between the Oil Market, and the Islamic and Conventional Stock Markets of the GCC Country.” International Journal of Islamic and Middle Eastern Finance and Management 11 (2): 157–81. https://doi.org/10.1108/imefm-08-2017-0227.Suche in Google Scholar

Naik, P. K., and P. Padhi. 2015. “Interaction of Institutional Investment Activity and Stock Market Volatility: Evidence from India.” Asia-Pacific Journal of Management Research and Innovation 11 (3): 219–29. https://doi.org/10.1177/2319510x15588385.Suche in Google Scholar

Pan, Q., P. Li, and X. Du. 2023. “An Improved FIGARCH Model with the Fractional Differencing Operator (1-νL)d.” Finance Research Letters 55: 103975, https://doi.org/10.1016/j.frl.2023.103975.Suche in Google Scholar

Peters, E. E. 1994. Fractal Market Analysis: Applying Chaos Theory to Investment and Economics. Hoboken, NJ: John Wiley & Sons.Suche in Google Scholar

Riyath, M. I. M., N. J. Dewasiri, M. A. M. M. Siraju, A. Jahfer, and K. Sood. 2024. “The Sources of Stock Market Volatility: A Study on the Colombo Stock Exchange.” In VUCA and Other Analytics In Business Resilience, Part A, edited by D. Singh, K. Sood, S. Kautish, and S. Grima, 127–49. Leeds, England: Emerald Publishing Limited.10.1108/978-1-83753-902-420241006Suche in Google Scholar

Ross, S. A. 1976. “The Arbitrage Theory of Capital Asset Pricing.” Journal of Economic Theory 13 (3): 341–60. https://doi.org/10.1016/0022-0531(76)90046-6.Suche in Google Scholar

Shahzad, S. J. H., C. Aloui, and R. Jammazi. 2020. “On the Interplay between US Sectoral CDS, Stock and VIX Indices: Fresh Insights from Wavelet Approaches.” Finance Research Letters 33: 101208, https://doi.org/10.1016/j.frl.2019.06.006.Suche in Google Scholar

Syed, A. M. 2022. “The Impact of COVID-19 on GCC Equity and Debt Markets: Evidence from TVP-VAR Estimation.” Frontiers in Applied Mathematics and Statistics 8, https://doi.org/10.3389/fams.2022.1032123.Suche in Google Scholar

Tien, H. T., and N. T. Hung. 2022. “Volatility Spillover Effects between Oil and GCC Stock Markets: A Wavelet-Based Asymmetric Dynamic Conditional Correlation Approach.” International Journal of Islamic and Middle Eastern Finance and Management 15 (6): 1127–49. https://doi.org/10.1108/imefm-07-2020-0370.Suche in Google Scholar

Wang, J., X. Sun, and J. Li. 2020. “How Do Sovereign Credit Default Swap Spreads Behave under Extreme Oil Price Movements? Evidence from G7 and BRICS Countries.” Finance Research Letters 34: 101350, https://doi.org/10.1016/j.frl.2019.101350.Suche in Google Scholar

Yavas, B. F., K. Grave, and D. Vardiabasis. 2019. “Diversification Strategies and Equity Market Performances.” Review of International Business and Strategy 29 (3): 207–25. https://doi.org/10.1108/ribs-01-2019-0002.Suche in Google Scholar

Yousaf, I., and J. Alokla. 2022. “Herding Behaviour in the Islamic Bank Market: Evidence from the Gulf Region.” Review of Behavioral Finance 15 (5): 617–33. https://doi.org/10.1108/rbf-02-2021-0018.Suche in Google Scholar

Yousaf, I., M. Beljid, A. Chaibi, and A. A. L. Ajlouni. 2022. “Do Volatility Spillover and Hedging Among GCC Stock Markets and Global Factors Vary from Normal to Turbulent Periods? Evidence from the Global Financial Crisis and Covid-19 Pandemic Crisis.” Pacific-Basin Finance Journal 73: 101764, https://doi.org/10.1016/j.pacfin.2022.101764.Suche in Google Scholar

Ziadat, S. A., and R. AlKhouri. 2022. “Revisiting Volatility Spillovers in the Gulf Cooperation Council.” Cogent Economics & Finance 10 (1). https://doi.org/10.1080/23322039.2022.2031683.Suche in Google Scholar

Received: 2024-06-16
Accepted: 2024-09-30
Published Online: 2024-11-11

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Heruntergeladen am 17.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/rmeef-2024-0018/html?lang=de
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