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Random Walk Investigation in Indian Market with special reference to S&P Nifty –Fifty Stocks

Author

Listed:
  • M.Tamilselvan

    (Associate Professor, Department of Business Studies, IbriCollege of Technology-Sultanate of Oman)

  • R.Madhumitha

    (Formerly Assistant Professor, Department of Commerce, Bharathi Women’s College, Chennai-India)

Abstract

The competence of a financial system is entirely depending upon the stock market efficiency. The gradual growth of equity investor’s participation is inevitable to enrich the overall growth of emerging economies.Hence the necessity is felt to provide an empirical support to the investing community. For the purpose, this study attempts to examine the weak-form efficiency of Indian stock market –National Stock Exchange (NSE). The study has used the daily closing price of the Nifty fiftystocks from 3rdJanuary 2011 to 24thApril 2015. To test the weak form efficiency both parametric and non-parametric tests called Autocorrelation, Augmented Dicky Fuller test, and Runs Test were performed. The study reveals that 39 stocks of NSE-Nifty Fifty are found to be weak form inefficient, so that the investors can formulate trading strategies to gain abnormal returns. The Index and 10 stocks are found to be weak form efficient during the study period since the price series found to be autocorrelation existence.

Suggested Citation

  • M.Tamilselvan & R.Madhumitha, 2015. "Random Walk Investigation in Indian Market with special reference to S&P Nifty –Fifty Stocks," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 4(4), pages 52-61, October.
    • Handle: RePEc:rbs:ijfbss:v:4:y:2015:i:4:p:52-61
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    References listed on IDEAS

    as
    1. P., Srinivasan, 2014. "Stock Market Development and Economic growth in India: An Empirical Analysis," MPRA Paper 55657, University Library of Munich, Germany.
    2. 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.
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