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Are BRICS Stock Market Indices Mean Reverting? Evidence Based on Expected Lifetime Range Ratio

Author

Listed:
  • Mukta Kanvinde

    (IFMR Graduate School of Business- Krea University, India)

  • Muneer Shaik

    (IFMR Graduate School of Business- Krea University, India)

Abstract

We use the Expected Lifetime Range (ELR) Ratio proposed in Shaik and Maheswaran (2018) to find evidence of mean reversion in the BRICS stock markets indices. We divide the sample period into pre-crisis, crisis, and post-subprime crisis data sets. We find that the BRICS stock market indices show mean reversion from 2001 to 2018. While before the subprime crisis, the indices followed a random walk, after the subprime crisis, the BRICS stock markets show mean reversion behavior and have become more predictable. We also conduct the Lo and Mackinlay variance Ratio test and find that the Expected Lifetime Range Ratio is better at detecting the presence of mean reversion.

Suggested Citation

  • Mukta Kanvinde & Muneer Shaik, 2020. "Are BRICS Stock Market Indices Mean Reverting? Evidence Based on Expected Lifetime Range Ratio," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(2), pages 169-186, September.
  • Handle: RePEc:ijb:journl:v:19:y:2020:i:2:p:169-186
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    References listed on IDEAS

    as
    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Yung-Shi Liau & Jack Yang, 2008. "The mean/volatility asymmetry in Asian stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 18(5), pages 411-419.
    3. Chaudhuri, Kausik & Wu, Yangru, 2003. "Random walk versus breaking trend in stock prices: Evidence from emerging markets," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 575-592, April.
    4. Bing Zhang & Xindan Li, 2008. "The asymmetric behaviour of stock returns and volatilities: evidence from Chinese stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 15(12), pages 959-962.
    5. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    6. Muneer Shaik & S. Maheswaran, 2017. "Random Walk in Emerging Asian Stock Markets," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(1), pages 20-31, January.
    7. Tiwari, Aviral Kumar & Kyophilavong, Phouphet, 2014. "New evidence from the random walk hypothesis for BRICS stock indices: a wavelet unit root test approach," Economic Modelling, Elsevier, vol. 43(C), pages 38-41.
    8. Muneer Shaik & S. Maheswaran, 2018. "Expected lifetime range ratio to find mean reversion: Evidence from Indian stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 6(1), pages 1475926-147, January.
    9. Wang, Juan & Zhang, Dongxiang & Zhang, Jian, 2015. "Mean reversion in stock prices of seven Asian stock markets: Unit root test and stationary test with Fourier functions," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 157-164.
    10. Hiroyuki Kawakatsu & Matthew R. Morey, 1999. "An Empirical Examination Of Financial Liberalization And The Efficiency Of Emerging Market Stock Prices," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 385-411, December.
    11. Nam, Kiseok & Washer, Kenneth M. & Chu, Quentin C., 2005. "Asymmetric return dynamics and technical trading strategies," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 391-418, February.
    12. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    13. Kawakatsu, Hiroyuki & Morey, Matthew R., 1999. "Financial liberalization and stock market efficiency: an empirical examination of nine emerging market countries," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 353-371, November.
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    More about this item

    Keywords

    Mean Reversion; BRICS; Lo and Mackinlay Variance Ratio; Subprime Crisis; Expected Lifetime Range ratio;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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