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Is IPOs Trading Enhanced with the Advent of Automated Trading System? A Look at the Efficient Market Hypothesis

Received: 13 February 2014    Accepted: 23 April 2014    Published: 30 April 2014
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Abstract

We examine and model the performance of Initial Public Offerings (IPOs) with the advent of the Automated Trading System (ATS) on the Efficient Market Hypothesis (EMH) of Fama (1970) and observe that the system of price determination and encoding such information to existing and potential investors for IPOs has significantly improved with related efficiency as most of the IPOs issued during the period after the introduction of the ATS have significantly attracted more investor demand and commendable pricing mechanism as a result of easy and quick access to information sharing. This could mean that information asymmetry has drastically reduced since they are electronically generated to produce the stock prices within a very limited period of time. But until now, prices of IPOs in most cases do not fully reflect available information as the EMH suggests and does not fulfil the Random Walk Hypothesis (Kendall, 1953, RWH) as a requirement for weak form of market efficiency. However, despite the ATS’s immense contributions, the rate of price swings and inability to fully reflect available information still remains an apparition to the market participants so that prices are either overpriced or underpriced. We use the stability, stationary, and normality diagnostic tests together with the EGARCH and TGARCH to define the trend of the prices. The result is not consistent with the Efficient Market Hypothesis of Fama (1970). Data on each IPO daily prices were obtained from the trading statistics of Colombo Stock Exchange (CSE) consisting of 231 IPO stocks traded between the years 2000 to 2012 consisting of 35,979 monthly observations; these prices are those of IPOs trading after the introduction of the ATS in 1997. The outcome clearly shows that the prices are not normally distributed and are significantly auto-correlated. This result does not support the RWH to satisfy for the weak market efficiency.

Published in International Journal of Business and Economics Research (Volume 3, Issue 2)
DOI 10.11648/j.ijber.20140302.14
Page(s) 72-81
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Initial Public Offering, Automatic Trading System, Efficient Market Hypothesis, Random Walk Theory, Colombo Stock Exchange, Stock Demand, Information Asymmetry and Stock Price

References
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    P. M. C. Thilakarathne, Alex Augustus Ambore Bruce. (2014). Is IPOs Trading Enhanced with the Advent of Automated Trading System? A Look at the Efficient Market Hypothesis. International Journal of Business and Economics Research, 3(2), 72-81. https://doi.org/10.11648/j.ijber.20140302.14

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    ACS Style

    P. M. C. Thilakarathne; Alex Augustus Ambore Bruce. Is IPOs Trading Enhanced with the Advent of Automated Trading System? A Look at the Efficient Market Hypothesis. Int. J. Bus. Econ. Res. 2014, 3(2), 72-81. doi: 10.11648/j.ijber.20140302.14

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    AMA Style

    P. M. C. Thilakarathne, Alex Augustus Ambore Bruce. Is IPOs Trading Enhanced with the Advent of Automated Trading System? A Look at the Efficient Market Hypothesis. Int J Bus Econ Res. 2014;3(2):72-81. doi: 10.11648/j.ijber.20140302.14

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  • @article{10.11648/j.ijber.20140302.14,
      author = {P. M. C. Thilakarathne and Alex Augustus Ambore Bruce},
      title = {Is IPOs Trading Enhanced with the Advent of Automated Trading System? A Look at the Efficient Market Hypothesis},
      journal = {International Journal of Business and Economics Research},
      volume = {3},
      number = {2},
      pages = {72-81},
      doi = {10.11648/j.ijber.20140302.14},
      url = {https://doi.org/10.11648/j.ijber.20140302.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijber.20140302.14},
      abstract = {We examine and model the performance of Initial Public Offerings (IPOs) with the advent of the Automated Trading System (ATS) on the Efficient Market Hypothesis (EMH) of Fama (1970) and observe that the system of price determination and encoding such information to existing and potential investors for IPOs has significantly improved with related efficiency as most of the IPOs issued during the period after the introduction of the ATS have significantly attracted more investor demand and commendable pricing mechanism as a result of easy and quick access to information sharing. This could mean that information asymmetry has drastically reduced since they are electronically generated to produce the stock prices within a very limited period of time. But until now, prices of IPOs in most cases do not fully reflect available information as the EMH suggests and does not fulfil the Random Walk Hypothesis (Kendall, 1953, RWH) as a requirement for weak form of market efficiency. However, despite the ATS’s immense contributions, the rate of price swings and inability to fully reflect available information still remains an apparition to the market participants so that prices are either overpriced or underpriced. We use the stability, stationary, and normality diagnostic tests together with the EGARCH and TGARCH to define the trend of the prices. The result is not consistent with the Efficient Market Hypothesis of Fama (1970). Data on each IPO daily prices were obtained from the trading statistics of Colombo Stock Exchange (CSE) consisting of 231 IPO stocks traded between the years 2000 to 2012 consisting of 35,979 monthly observations; these prices are those of IPOs trading after the introduction of the ATS in 1997. The outcome clearly shows that the prices are not normally distributed and are significantly auto-correlated. This result does not support the RWH to satisfy for the weak market efficiency.},
     year = {2014}
    }
    

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    T1  - Is IPOs Trading Enhanced with the Advent of Automated Trading System? A Look at the Efficient Market Hypothesis
    AU  - P. M. C. Thilakarathne
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    AB  - We examine and model the performance of Initial Public Offerings (IPOs) with the advent of the Automated Trading System (ATS) on the Efficient Market Hypothesis (EMH) of Fama (1970) and observe that the system of price determination and encoding such information to existing and potential investors for IPOs has significantly improved with related efficiency as most of the IPOs issued during the period after the introduction of the ATS have significantly attracted more investor demand and commendable pricing mechanism as a result of easy and quick access to information sharing. This could mean that information asymmetry has drastically reduced since they are electronically generated to produce the stock prices within a very limited period of time. But until now, prices of IPOs in most cases do not fully reflect available information as the EMH suggests and does not fulfil the Random Walk Hypothesis (Kendall, 1953, RWH) as a requirement for weak form of market efficiency. However, despite the ATS’s immense contributions, the rate of price swings and inability to fully reflect available information still remains an apparition to the market participants so that prices are either overpriced or underpriced. We use the stability, stationary, and normality diagnostic tests together with the EGARCH and TGARCH to define the trend of the prices. The result is not consistent with the Efficient Market Hypothesis of Fama (1970). Data on each IPO daily prices were obtained from the trading statistics of Colombo Stock Exchange (CSE) consisting of 231 IPO stocks traded between the years 2000 to 2012 consisting of 35,979 monthly observations; these prices are those of IPOs trading after the introduction of the ATS in 1997. The outcome clearly shows that the prices are not normally distributed and are significantly auto-correlated. This result does not support the RWH to satisfy for the weak market efficiency.
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Author Information
  • Department of Accountancy, Faulty of Commerce & Management Studies, University of Kelaniya, Sri Lanka; Department of Business Administration, Gombe State University, Nigeria

  • Department of Accountancy, Faulty of Commerce & Management Studies, University of Kelaniya, Sri Lanka; Department of Business Administration, Gombe State University, Nigeria

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