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The Dynamic Return and Volatility Spillovers among Size-Based Stock Portfolios in the Saudi Market and Their Portfolio Management Implications during Different Crises

Author

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  • Nassar S. Al-Nassar

    (Department of Economics and Finance, College of Business and Economics, Qassim University, Buraydah 51452, Saudi Arabia)

Abstract

This study contributes to the ongoing debate on the size effect and size-based investment styles by investigating the return and volatility spillovers and time-varying conditional correlations among Saudi large-, mid-, and small-cap indices. To this end, we utilize the weekly returns on the MSCI Saudi large-, mid-, and small-cap indices over a long sample period, spanning several crises. The econometric approach that we use is a VAR-asymmetric BEKK-GARCH model which accounts for structural breaks. On the basis of the VAR-asymmetric BEKK-GARCH model estimation results, we calculate portfolio weights and hedge ratios, and discuss their risk management implications. The empirical results confirm the presence of unilateral return spillovers running from mid- to small-cap stocks, while multilateral volatility spillovers are documented, albeit substantially weakened when accounting for structural breaks. The time-varying conditional correlations display clear spikes around crises, which translate to higher hedge ratios, increasing the cost of hedging during turbulent times. The optimal portfolio weights suggest that investors generally overweight large caps in their portfolios during uncertain times to minimize risk without lowering expected returns. The main takeaway from our results is that passively confining fund managers to a particular size category regardless of the prevailing market conditions may lead to suboptimal performance.

Suggested Citation

  • Nassar S. Al-Nassar, 2023. "The Dynamic Return and Volatility Spillovers among Size-Based Stock Portfolios in the Saudi Market and Their Portfolio Management Implications during Different Crises," IJFS, MDPI, vol. 11(3), pages 1-30, September.
  • Handle: RePEc:gam:jijfss:v:11:y:2023:i:3:p:113-:d:1238462
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    References listed on IDEAS

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    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    2. Mohanty, Sunil K. & Nandha, Mohan & Turkistani, Abdullah Q. & Alaitani, Muhammed Y., 2011. "Oil price movements and stock market returns: Evidence from Gulf Cooperation Council (GCC) countries," Global Finance Journal, Elsevier, vol. 22(1), pages 42-55.
    3. Iftekhar Hasan & Bill B. Francis, 1998. "Macroeconomic Factors and the Asymmetric Predictability of Conditional Variances," European Financial Management, European Financial Management Association, vol. 4(2), pages 207-230, July.
    4. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    5. Sangram Keshari Jena & Aviral Kumar Tiwari & Ashutosh Dash & Emmanuel Joel Aikins Abakah, 2021. "Volatility Spillover Dynamics between Large-, Mid-, and Small-Cap Stocks in the Time-Frequency Domain: Implications for Portfolio Management," JRFM, MDPI, vol. 14(11), pages 1-22, November.
    6. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Imhotep Paul Alagidede & Shawkat Hammoudeh, 2023. "Nonlinearity in the causality and systemic risk spillover between the OPEC oil and GCC equity markets: a pre- and post-financial crisis analysis," Empirical Economics, Springer, vol. 65(3), pages 1027-1103, September.
    7. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    8. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-234, April.
    9. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael, 2009. "Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 829-842, August.
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    Cited by:

    1. Shi, Huai-Long & Chen, Huayi, 2025. "Quantile return connectedness of theme factors and portfolio implications: Evidence from the US and China," Global Finance Journal, Elsevier, vol. 64(C).

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