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Do algorithm traders mitigate insider trading profits?: Evidence from the Thai stock market

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  • Nopparat Wongsinhirun
  • Pattanaporn Chatjuthamard
  • Sirimon Treepongkaruna
  • Tanakorn Likitapiwatc

Abstract

This paper asks whether algorithm traders (AT) mitigate insider trading profits in the Thai stock market over the period of 2010–2016. We find that in general it does but not in the case of buy side, big trades nor the executive trades. Our findings suggest that, to some extent, AT can take important role to increase an efficiency in stock market by processing the public information and incorporating it into price at ultra-fast speed. Additional robustness checks based on the instrumental variable approach confirm our findings.

Suggested Citation

  • Nopparat Wongsinhirun & Pattanaporn Chatjuthamard & Sirimon Treepongkaruna & Tanakorn Likitapiwatc, 2021. "Do algorithm traders mitigate insider trading profits?: Evidence from the Thai stock market," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-15, July.
    • Handle: RePEc:plo:pone00:0255057
    DOI: 10.1371/journal.pone.0255057
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    References listed on IDEAS

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    3. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
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    5. Fishe, Raymond P. H. & Robe, Michel A., 2004. "The impact of illegal insider trading in dealer and specialist markets: evidence from a natural experiment," Journal of Financial Economics, Elsevier, vol. 71(3), pages 461-488, March.
    6. Alan Gregory & John Matatko & Ian Tonks, 1997. "Detecting Information from Directors' Trades: Signal Definition and Variable Size Effects," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 309-342, April.
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