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Short Run and Long Run Relationships between Saudi Stocks

Author

Listed:
  • Yassin Eltahir

    (College of Business, King Khalid University, KSA)

  • Hussien Omer Osman

    (College of Business, King Khalid University, KSA)

  • Osama Azmi Sallam

    (College of Business, King Khalid University, KSA)

  • Fethi Klabi

    (College of Business, King Khalid University, KSA)

Abstract

The main objective of this study is to know whether short and long run relationships exist between stock values in the Saudi market. For that purpose, the authors extracted daily stock value data from five distinct Saudi economic sectors. Using modern statistical techniques through MGARCH (DVEC) and error correction models, the authors estimated the stock return variances and concluded that stock values are correlated. On this basis, stocks were found to be stable and safe and detained larger effects on the rest of stocks (Rajhi, banking sector), some were unstable (Bahri, the national shipping carrier), some have moderate effects (Etisalate, telecommunication) and others have no effects such as Almarai (Food industries) and Sabic (petrochemicals). Overall, this study concludes that the Saudi market is stable and safe.

Suggested Citation

  • Yassin Eltahir & Hussien Omer Osman & Osama Azmi Sallam & Fethi Klabi, 2019. "Short Run and Long Run Relationships between Saudi Stocks," International Journal of Economics and Financial Issues, Econjournals, vol. 9(1), pages 193-196.
  • Handle: RePEc:eco:journ1:2019-01-23
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    References listed on IDEAS

    as
    1. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    2. Jouini, Jamel, 2013. "Return and volatility interaction between oil prices and stock markets in Saudi Arabia," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1124-1144.
    3. Ling, Shiqing & McAleer, Michael, 2003. "Asymptotic Theory For A Vector Arma-Garch Model," Econometric Theory, Cambridge University Press, vol. 19(2), pages 280-310, April.
    4. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    5. Ahmed Almohaimeed & Nizar Harrathi, 2013. "Volatility Transmission and Conditional Correlation between Oil prices, Stock Market and Sector Indexes: Empirics for Saudi Stock Market," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 3(4), pages 1-8.
    6. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    7. Shah Saeed Hassan Chowdhury & M. Arifur Rahman & M. Shibley Sadique, 2017. "Stock return autocorrelation, day of the week and volatility," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 16(2), pages 218-238, May.
    8. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
    9. Jorg Bley & Mohsen Saad, 2015. "Idiosyncratic Volatility Forecasting in the Stock Market of Saudi Arabia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(6), pages 1342-1357, November.
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    More about this item

    Keywords

    Error Correction Model; M GARCH-VEC; Saudi Market;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G2 - Financial Economics - - Financial Institutions and Services

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