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

Tamilselvan Manickam · R Madhumitha

International Journal of Finance & Banking Studies · 2015 · Vol. 4 / Issue 4 · 52-61

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Overview

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 fifty stocks 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.

Keywords: {'name': 'Time Series'}, {'name': 'Auto Correlation'}, {'name': 'Unit Root Test'}, {'name': 'Random Walk'}, {'name': 'National Stock Exchange'}

Authors & affiliations

Tamilselvan Manickam
Affiliation not supplied

R Madhumitha
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

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Indian Security Market – Review (2014)

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M.A. Moustafa (2004) Testing the Weak-Form Efficiency of the United Arab Emirates Stock Market. International Journal of Business. 9(3) 309-325.

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RakeshGupta and JunhaoYang( 2011) Testing Weak form Efficiency in the Indian Capital Market. International Research Journal of Finanace and Economics. Vol.75.pp 108-119.

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Victor K. Gimba (2009)Testing the Weak-form Efficiency Market Hypothesis: Evidence from Nigerian Market. CBN Journal of Applied Statistics .Vol.3 No.1.177-136

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