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How insiders utilize their information advantages in their trading: Evidence from China

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  • Zhao, Wanlong
  • Zhang, Wei
  • Xiong, Xiong
  • Zou, Gaofeng

Abstract

The literature studying insider trading is largely silent on two aspects. The first is the seasonal features of insider trading, and the second is how the nature of information affects insider trading. We find that insider trading is relatively concentrated in the fourth quarter because of the high information advantage. Insiders make trading decisions based on their judgements of future market reactions to annual reports. We find different patterns of information advantage utilization in positive and negative news conditions. We also explore the influence of the market valuation and ownership structure on the utilization of information advantages.

Suggested Citation

  • Zhao, Wanlong & Zhang, Wei & Xiong, Xiong & Zou, Gaofeng, 2021. "How insiders utilize their information advantages in their trading: Evidence from China," Finance Research Letters, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:finlet:v:42:y:2021:i:c:s1544612320316974
    DOI: 10.1016/j.frl.2020.101883
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    References listed on IDEAS

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    1. Jana P. Fidrmuc & Marc Goergen & Luc Renneboog, 2006. "Insider Trading, News Releases, and Ownership Concentration," Journal of Finance, American Finance Association, vol. 61(6), pages 2931-2973, December.
    2. Chowdhury, Abu & Mollah, Sabur & Al Farooque, Omar, 2018. "Insider-trading, discretionary accruals and information asymmetry," The British Accounting Review, Elsevier, vol. 50(4), pages 341-363.
    3. Arslan-Ayaydin, Özgür & Boudt, Kris & Thewissen, James, 2016. "Managers set the tone: Equity incentives and the tone of earnings press releases," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 132-147.
    4. Alldredge, Dallin M. & Cicero, David C., 2015. "Attentive insider trading," Journal of Financial Economics, Elsevier, vol. 115(1), pages 84-101.
    5. Jiang, Xiaoquan & Zaman, Mir A., 2010. "Aggregate insider trading: Contrarian beliefs or superior information?," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1225-1236, June.
    6. Qing He & Oliver M. Rui, 2016. "Ownership Structure and Insider Trading: Evidence from China," Journal of Business Ethics, Springer, vol. 134(4), pages 553-574, April.
    7. Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer & Robert W. Vishny, 1998. "Law and Finance," Journal of Political Economy, University of Chicago Press, vol. 106(6), pages 1113-1155, December.
    8. Contreras, Harold, 2020. "Strategic timing of corporate insiders when trading at earnings announcements," Finance Research Letters, Elsevier, vol. 34(C).
    9. Djankov, Simeon & La Porta, Rafael & Lopez-de-Silanes, Florencio & Shleifer, Andrei, 2008. "The law and economics of self-dealing," Journal of Financial Economics, Elsevier, vol. 88(3), pages 430-465, June.
    10. Qing He & Bingqian Cheng & Jing Wen, 2019. "Does aggregate insider trading predict stock returns in China?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 922-942, April.
    11. Ke, Bin & Huddart, Steven & Petroni, Kathy, 2003. "What insiders know about future earnings and how they use it: Evidence from insider trades," Journal of Accounting and Economics, Elsevier, vol. 35(3), pages 315-346, August.
    12. Lee, Inmoo & Lemmon, Michael & Li, Yan & Sequeira, John M., 2014. "Do voluntary corporate restrictions on insider trading eliminate informed insider trading?," Journal of Corporate Finance, Elsevier, vol. 29(C), pages 158-178.
    13. Chen, Yanyan & Tian, Gary Gang & Yao, Daifei Troy, 2019. "Does regulating executive compensation impact insider trading?," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 1-20.
    14. Qiu, Ying & He, Hua & Xiao, Gang, 2018. "The information content of insider trading: Evidence from China," Finance Research Letters, Elsevier, vol. 26(C), pages 126-131.
    15. Brandon N. Cline & Sinan Gokkaya & Xi Liu, 2017. "The Persistence of Opportunistic Insider Trading," Financial Management, Financial Management Association International, vol. 46(4), pages 919-964, December.
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    More about this item

    Keywords

    Insider trading; Information advantage; Positive news; Negative news; Market reaction;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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