IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v18y2011i5p467-472.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504851003705290&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851003705290?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nartea, Gilbert V. & Valera, Harold Glenn A. & Valera, Maria Luisa G., 2021. "Mean reversion in Asia-Pacific stock prices: New evidence from quantile unit root tests," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 214-230.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shyh-Wei Chen, 2008. "Non-stationarity and Non-linearity in Stock Prices: Evidence from the OECD Countries," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-11.
    2. repec:ebl:ecbull:v:3:y:2008:i:11:p:1-11 is not listed on IDEAS
    3. Durusu-Ciftci, Dilek & Ispir, M. Serdar & Kok, Dundar, 2019. "Do stock markets follow a random walk? New evidence for an old question," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 165-175.
    4. 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.
    5. Qian, Xi-Yuan & Song, Fu-Tie & Zhou, Wei-Xing, 2008. "Nonlinear behaviour of the Chinese SSEC index with a unit root: Evidence from threshold unit root tests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 503-510.
    6. 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.
    7. Lee, Chien-Chiang & Lee, Jun-De & Lee, Chi-Chuan, 2010. "Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks," Japan and the World Economy, Elsevier, vol. 22(1), pages 49-58, January.
    8. Müge Özdemir, 2022. "Analyzing the Efficient Market Hypothesis with the Structural Break and Nonlinear Unit Root Tests: An Application on Borsa Istanbul," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(37), pages 257-282, December.
    9. Van Heerden, Dorathea & Rodrigues, Jose & Hockly, Dale & Lambert, Bongani & Taljard, Tjaart & Phiri, Andrew, 2013. "Efficient Market Hypothesis in South Africa: Evidence from a threshold autoregressive (TAR) model," MPRA Paper 50544, University Library of Munich, Germany.
    10. Kurmaş Akdoğan, 2017. "Unemployment hysteresis and structural change in Europe," Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
    11. Zeynel Abidin Ozdemir & Mehmet Balcilar & Aysit Tansel, 2013. "International Labour Force Participation Rates By Gender: Unit Root Or Structural Breaks?," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 142-164, May.
    12. Ya-Chi Huang, 2017. "Exploring issues of market inefficiency by the role of forecasting accuracy in survivability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 167-191, July.
    13. Gozbasi, Onur & Kucukkaplan, Ilhan & Nazlioglu, Saban, 2014. "Re-examining the Turkish stock market efficiency: Evidence from nonlinear unit root tests," Economic Modelling, Elsevier, vol. 38(C), pages 381-384.
    14. Guglielmo Maria Caporale & Luis A. Gil‐Alana & James C. Orlando, 2016. "Linkages Between the US and European Stock Markets: A Fractional Cointegration Approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 143-153, April.
    15. Narayan, Seema & Rath, Badri Narayan & Narayan, Paresh Kumar, 2012. "Evidence of Wagner's law from Indian states," Economic Modelling, Elsevier, vol. 29(5), pages 1548-1557.
    16. Tülin Anlas & Cengiz Toraman, 2016. "Analysing the Efficiency of the Turkish Stock Market with Multiple Structural Breaks," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(12), pages 721-740, December.
    17. Bernard Njindan Iyke, 2019. "A Test Of The Efficiency Of The Foreign Exchange Market In Indonesia," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 0(12th BMEB), pages 1-26, January.
    18. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2011. "Unit-root and stationarity testing with empirical application on industrial production of CEE-4 countries," MPRA Paper 29648, University Library of Munich, Germany.
    19. Aviral Tiwari, 2014. "Unemployment hysteresis in Australia: evidence using nonlinear and stationarity tests with breaks," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 681-695, March.
    20. Andrew Phiri, 2015. "Efficient Market Hypothesis in South Africa: Evidence from Linear and Nonlinear Unit Root Tests," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 13(4 (Winter), pages 369-387.
    21. Schweikert, Karsten, 2018. "Testing for cointegration with threshold adjustment in the presence of structural breaks," Hohenheim Discussion Papers in Business, Economics and Social Sciences 07-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:18:y:2011:i:5:p:467-472. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.