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Long Memory and Stock Market Efficiency: Case of Saudi Arabia

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  • Rim Ammar Lamouchi

    (Department of Finance, Faculty of Economics and Administration, King Abdulaziz University, Saudi Arabia,)

Abstract

This paper examines the market efficiency of Saudi Arabia stock exchange market namely Tadawul All Share Index, TASI, for the period from 1998 to 2020. To test the efficiency of stock market, we analyze the dependence structure of stock market index returns and volatility. The results demonstrate that Saudi stock market shows long memory. The long memory process of Saudi Stock Market offers evidence against efficient market hypothesis (EMH). The ARFIMA model supports the presence of long-run dependence in the historical volatility of the Saudi stock market, giving further support against the EMH.

Suggested Citation

  • Rim Ammar Lamouchi, 2020. "Long Memory and Stock Market Efficiency: Case of Saudi Arabia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 29-34.
    • Handle: RePEc:eco:journ1:2020-03-5
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    Cited by:

    1. Mamdouh Abdulaziz Saleh Al-Faryan & Everton Dockery, 2021. "Testing for efficiency in the Saudi stock market: does corporate governance change matter?," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 61-90, July.
    2. Reem Fraih Alshiban & Khalid Rasheed Al-Adeem, 2022. "Empirically Investigating the Disclosure of Nonfinancial Information: A Content Study on Corporations Listed in the Saudi Capital Market," JRFM, MDPI, vol. 15(6), pages 1-23, June.
    3. Abdulrahman Alomair & Alan Farley & Helen Hong Yang, 2022. "The impact of IFRS adoption on the value relevance of accounting information in Saudi Arabia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(2), pages 2839-2878, June.
    4. Garafutdinov, Robert, 2021. "Influence of some ARFIMA model parameters on the accuracy of financial time series forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 62, pages 85-100.
    5. Aditya Prasad Sahoo, 2021. "Is the Configuration of Indian Stock Market Weakly Efficient?," ComFin Research, Shanlax Journals, vol. 9(3), pages 1-6, July.

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    More about this item

    Keywords

    Market efficiency; Long memory; Stock market Index.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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