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Is the Indian stock market efficient? Evidence from a TAR model with an autoregressive unit root

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  • Ankita Mishra
  • Vinod Mishra

Abstract

This study uses a two-regime threshold autoregressive (TAR) model with an autoregressive unit root to examine the efficiency of the Indian stock market. Using 11 years' weekly data for two indices and 10 common stocks from the National Stock Exchange (NSE) of India, this study applies the Caner and Hensen (2001) methodology to simultaneously test for the presence of nonlinearities and unit root in the stock prices data. The main finding of this study is that Indian stock prices follow a random walk albeit the presence of nonlinearities in the data.

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  • Ankita Mishra & Vinod Mishra, 2011. "Is the Indian stock market efficient? Evidence from a TAR model with an autoregressive unit root," Applied Economics Letters, Taylor & Francis Journals, vol. 18(5), pages 467-472.
    • Handle: RePEc:taf:apeclt:v:18:y:2011:i:5:p:467-472
    DOI: 10.1080/13504851003705290
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    References listed on IDEAS

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    1. Paresh Kumar Narayan, 2005. "Are the Australian and New Zealand stock prices nonlinear with a unit root?," Applied Economics, Taylor & Francis Journals, vol. 37(18), pages 2161-2166.
    2. Abhyankar, A & Copeland, L S & Wong, W, 1997. "Uncovering Nonlinear Structure in Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 1-14, January.
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    4. Junsoo Lee & Mark C. Strazicich, 2003. "Minimum Lagrange Multiplier Unit Root Test with Two Structural Breaks," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1082-1089, November.
    5. Chanwit Phengpis, 2006. "Are emerging stock market price indices really stationary?," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 931-939.
    6. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
    7. Narayan, Paresh Kumar, 2006. "The behaviour of US stock prices: Evidence from a threshold autoregressive model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 103-108.
    8. Abhyankar, A & Copeland, L S & Wong, W, 1995. "Nonlinear Dynamics in Real-Time Equity Market Indices: Evidence from the United Kingdom," Economic Journal, Royal Economic Society, vol. 105(431), pages 864-880, July.
    9. Shively, Philip A., 2003. "The nonlinear dynamics of stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 505-517.
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