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Study the Efficiency Hypothesis in the Egyptian Stock Market

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  • Mai Ahmed Abdelzaher

    (Faculty of Commerce, Cairo University, Cairo, Egypt)

Abstract

This article aims is to verify if the Egyptian stock market has information efficiency (market efficiency assumptions) by studying the presence of time series properties for daily stock returns between 2005 and 2015. Parametric and non-parametric tests are used to achieve this purpose, such as ADF/PP unit root- RUNS TEST- Perron - run test. The Jarque Bera test was used to measure the moderation of returns; the GARCH model and ARCH model are used also. The results referring to the Egyptian stock market follow the inefficient form, and the prices are closer to random traffic standards, showing that the price changes are random. Thus, there may be shares presented at less than their real value. Additionally, the consequence of the inefficiency of the Egyptian stock market on the weak level, given that the prices of stock prices do not reflect all historical information, it is possible for market participants to achieve unusual returns by using historical prices of shares.

Suggested Citation

  • Mai Ahmed Abdelzaher, 2021. "Study the Efficiency Hypothesis in the Egyptian Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 18-25.
    • Handle: RePEc:eco:journ1:2021-01-2
    as

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    References listed on IDEAS

    as
    1. Abdulnasser Hatemi‐J & Bryan Morgan, 2009. "An empirical analysis of the informational efficiency of Australian equity markets," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 36(5), pages 437-445, September.
    2. Hossein Varamini & Svetlana Kalash, 2008. "Testing Market Efficiency for Different Market Capitalization Funds," American Journal of Business, Emerald Group Publishing Limited, vol. 23(2), pages 17-28, October.
    3. Jeffrey E. Jarrett, 2010. "Efficient markets hypothesis and daily variation in small Pacific‐basin stock markets," Management Research Review, Emerald Group Publishing Limited, vol. 33(12), pages 1128-1139, November.
    4. Hossein Varamini & Svetlana Kalash, 2008. "Testing Market Efficiency for Different Market Capitalization Funds," American Journal of Business, Emerald Group Publishing, vol. 23(2), pages 17-26.
    5. Emmanuel Joel Aikins Abakah & Paul Alagidede & Lord Mensah & Kwaku Ohene-Asare, 2018. "Non-linear approach to Random Walk Test in selected African countries," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 14(3), pages 362-376, April.
    6. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    7. Priyanka Jain & Vishal Vyas & Ankur Roy, 2013. "A study on weak form of market efficiency during the period of global financial crisis in the form of random walk on Indian capital market," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 10(1), pages 122-138, May.
    8. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    9. Jing Jiang, 2017. "Cross-sectional variation of market efficiency," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 16(1), pages 67-85, February.
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    More about this item

    Keywords

    relevant information; risk market; rational investor;
    All these keywords.

    JEL classification:

    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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