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Volatility Mean Reversion and Stock Market Efficiency

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  • Hojatallah Goudarzi

Abstract

Traditional econometric models, such as the ordinary least square method, are built on the assumption of constant variance. Financial time series, unlike other economic series, usually exhibit a set of peculiar characteristics i.e. mean reversion, volatility clustering, fat tails and long memory. The main purpose of this study was to study market efficiency through modeling one stylized facts of asset returns series i.e. mean reversion in the Indian stock market. To achieve this purpose, the study used ADF test and GARCH model. The study found that the underlying series is stationary and therefore mean reverting. Therefore, based on the results the study concluded that, the Indian stock market is informationally weak-inefficient.

Suggested Citation

  • Hojatallah Goudarzi, 2013. "Volatility Mean Reversion and Stock Market Efficiency," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(12), pages 1681-1692.
    • Handle: RePEc:asi:aeafrj:v:3:y:2013:i:12:p:1681-1692:id:1119
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    Citations

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    Cited by:

    1. Nageri Kamaldeen Ibraheem, 2019. "Evaluating Good and Bad News During Pre and Post Financial Meltdown: Nigerian Stock Market Evidence," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 64(3), pages 1-22, December.
    2. Leković Miljan, 2018. "Evidence for and Against the Validity of Efficient Market Hypothesis," Economic Themes, Sciendo, vol. 56(3), pages 369-387, September.
    3. Lorraine Muguto & Paul-Francois Muzindutsi, 2022. "A Comparative Analysis of the Nature of Stock Return Volatility in BRICS and G7 Markets," JRFM, MDPI, vol. 15(2), pages 1-27, February.
    4. Mili, Mehdi, 2019. "The impact of tradeoff between risk and return on mean reversion in sovereign CDS markets," Research in International Business and Finance, Elsevier, vol. 48(C), pages 187-200.
    5. Kamaldeen Ibraheem Nageri, 2019. "Evaluating Voltality Persistence Of Stock Returtn In The Pre And Post 2008-2009 Financial Meltdown," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 8(3), pages 75-94.

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