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Non-linear unit root properties of stock prices: Evidence from India, Pakistan and Sri Lanka

Author

Listed:
  • Siow-hooi Tan

    () (Multimedia University)

  • Muzafar-shah Habibullah

    () (Universiti Putra Malaysia)

  • Roy-wye-leong Khong

    () (University of Nottingham Malaysia Campus)

Abstract

This study applies a threshold autoregressive (TAR) model to monthly stock prices for three South Asian countries over the period from 1991:01 to 2009:09. Two main conclusions are drawn. Firstly, the results indicate that all the stock prices in this study exhibit non-linear behavior. Secondly, a partial unit root was found to be present in one of the regimes indicating that the stock prices are weak form efficiency, but not all the time.

Suggested Citation

  • Siow-hooi Tan & Muzafar-shah Habibullah & Roy-wye-leong Khong, 2010. "Non-linear unit root properties of stock prices: Evidence from India, Pakistan and Sri Lanka," Economics Bulletin, AccessEcon, vol. 30(1), pages 274-281.
  • Handle: RePEc:ebl:ecbull:eb-09-00712
    as

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    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. Grieb, Terrance & Reyes, Mario G, 1999. "Random Walk Tests for Latin American Equity Indexes and Individual Firms," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 371-383, Winter.
    3. 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.
    4. Paresh Kumar Narayan & Seema Narayan, 2007. "Mean reversion in stock prices: new evidence from panel unit root tests," Studies in Economics and Finance, Emerald Group Publishing, vol. 24(3), pages 233-244, August.
    5. Qaiser Munir & Kasim Mansur, 2009. "Is Malaysian Stock Market Efficient? Evidence from Threshold Unit Root Tests," Economics Bulletin, AccessEcon, vol. 29(2), pages 1359-1370.
    6. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
    7. 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.
    8. Paresh Narayan & Arti Prasad, 2007. "Mean Reversion in Stock Prices: New Evidence from Panel Unit Root Tests for Seventeen European Countries," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-6.
    9. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    10. Lim, Kian-Ping & Brooks, Robert D. & Hinich, Melvin J., 2008. "Nonlinear serial dependence and the weak-form efficiency of Asian emerging stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 527-544, December.
    11. repec:ebl:ecbull:v:3:y:2007:i:34:p:1-6 is not listed on IDEAS
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    Citations

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    Cited by:

    1. Ekaterina Dorodnykh, 2014. "Determinants of stock exchange integration: evidence in worldwide perspective," Journal of Economic Studies, Emerald Group Publishing, vol. 41(2), pages 292 - 316, March.
    2. Feyyaz Zeren & Filiz Konuk, 2013. "Testing The Random Walk Hypothesis For Emerging Markets: Evidence From Linear And Non-Linear Unit Root Tests," Romanian Economic Business Review, Romanian-American University, vol. 8(4), pages 61-71, december.
    3. Ekaterina Dorodnykh, 2013. "What Drives Stock Exchange Integration?," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Eastern Macedonia and Thrace Institute of Technology (EMATTECH), Kavala, Greece, vol. 6(2), pages 47-79, September.

    More about this item

    Keywords

    non-linear; unit root; efficient market hypothesis;

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • G0 - Financial Economics - - General

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