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Does Past Information Help Predict Future Price Movements in Emerging Capital Markets? Evidence from the Colombo Securities Exchange

Author

Listed:
  • Thushari Vidanage

    (Thushari Vidanage, Department of Economics and Statistics, University of Peradeniya, Sri Lanka. Email: thusharivid@yahoo.com)

  • O.G. Dayaratna-Banda

    (O.G. Dayaratna-Banda, Department of Economics & Statistics, University of Peradeniya, Sri Lanka. Email: dayab@pdn.ac.lk)

Abstract

This article examines as to whether past stock prices in the Colombo Securities Exchange (CSE) exhibit predictability of future prices by using various statistical tests for the period from 1985 to 2009 on daily data. The findings of various statistical tests generated mixed results. The results of tests on serial correlation, runs test, variance ratio test and tests on the day-of-the-week effect rejected the weak-form of Efficient Market Hypothesis, whereas Augmented Dickey–Fuller (ADF) test and Phillips Perron (PP) unit root tests as well as the month-of-the-year test failed to reject the presence of random walk. Findings of the ADF and PP test statistics implied that daily changes in stock prices cannot be predicted, so that no investor can earn abnormal profits by exploiting past stock price patterns. This indicates the presence of weak-form efficiency in CSE. However, the results of serial correlation tests, runs test and variance ratio test imply that prices of ASPI do not reflect past prices, indicating that future movements of the stock prices can be predicted by using past price movements. The idea that past price information can only partially predict the future movements of prices/returns indicates that other information is also vital in changing stock prices/returns. The article concludes that the weak-form inefficiency is the normal situation in the CSE.

Suggested Citation

  • Thushari Vidanage & O.G. Dayaratna-Banda, 2012. "Does Past Information Help Predict Future Price Movements in Emerging Capital Markets? Evidence from the Colombo Securities Exchange," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 13(2), pages 241-264, September.
    • Handle: RePEc:sae:soueco:v:13:y:2012:i:2:p:241-264
    DOI: 10.1177/1391561412457236
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    References listed on IDEAS

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    More about this item

    Keywords

    Efficient market hypothesis; random walk; weak-form market efficiency; Colombo stock exchange; day-of-the-week effect; month-of-the-year effect; G14; G15;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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