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Abnormal trading behavior of specific types of shareholders before US firm bankruptcy and its implications for firm bankruptcy prediction

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  • Christine Cheng
  • Stewart Jones
  • William J. Moser

Abstract

This paper examines the trading behavior of US corporate insiders and certain groups of institutional investors (short‐term, transient, top‐performing, and those with fiduciary responsibility) in the eight quarters leading up to a US firm bankruptcy filing. Using a matched sample based on year, industry, and a probability of future bankruptcy model, we find that US corporate insiders display abnormal reduced net trading activity in the quarters before bankruptcy, with corporate insiders ‘going quiet’ immediately preceding a US bankruptcy. In contrast, we find that our identified types of institutional shareholders display abnormal selling activity several quarters before a US bankruptcy. We then use this information to enhance the bankruptcy‐predictive capabilities of recent machine‐learning techniques such as gradient boosting, as well as the probability of future bankruptcy model. We find that the variables measuring the absolute value of net purchases by US corporate insiders in the two quarters prior to bankruptcy, along with the changes in ownership by specific types of institutional shareholders, improve the out‐of‐sample predictive capabilities of our two different bankruptcy prediction models. Overall, we find that specific types of shareholder display abnormal trading in the quarters preceding US firm bankruptcy, and such information improves the out‐of‐sample accuracy of firm bankruptcy prediction models.

Suggested Citation

  • Christine Cheng & Stewart Jones & William J. Moser, 2018. "Abnormal trading behavior of specific types of shareholders before US firm bankruptcy and its implications for firm bankruptcy prediction," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 45(9-10), pages 1100-1138, October.
  • Handle: RePEc:bla:jbfnac:v:45:y:2018:i:9-10:p:1100-1138
    DOI: 10.1111/jbfa.12338
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    Cited by:

    1. Marc J. M. Bohmann & Vinay Patel, 2022. "Informed options trading prior to FDA announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(7-8), pages 1211-1236, July.
    2. Noora Alzayed & Rasol Eskandari & Hassan Yazdifar, 2023. "Bank failure prediction: corporate governance and financial indicators," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 601-631, August.
    3. Mohammad Shamsu Uddin & Guotai Chi & Mazin A. M. Al Janabi & Tabassum Habib & Kunpeng Yuan, 2022. "Modeling credit risk with a multi‐stage hybrid model: An alternative statistical approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1386-1415, November.
    4. Ying Zhou & Xia Lin & Guotai Chi & Peng Jin & Mengtong Li, 2024. "EWT‐SMOTE to improve default prediction performance in imbalanced data: Analysis of Chinese data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 615-643, April.
    5. Lohmann, Christian & Möllenhoff, Steffen, 2023. "Dark premonitions: Pre-bankruptcy investor attention and behavior," Journal of Banking & Finance, Elsevier, vol. 151(C).
    6. Beiqi Lin & Chelsea Liu & Kelvin Jui Keng Tan & Qing Zhou, 2020. "CEO turnover and bankrupt firms’ emergence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(9-10), pages 1238-1267, October.

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