Heterogeneous trading behaviors of individual investors: A deep clustering approach

  • Hwang, Yoontae
  • Park, Junpyo
  • Kim, Jang Ho
  • Lee, Yongjae
  • Fabozzi, Frank J.
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초록

While individual investors may have more diverse preferences and trading behavior than institutional investors due to their lack of professional education, many studies tend to lump individual investors together or classify them by socio-demographic characteristics. We conducted an empirical study using account-level trading data for over 300,000 investors in the Korean stock market from 2016 to 2020 to analyze the heterogeneity of individual investors. Our findings reveal notable disparities in profit distributions among the clusters formed based on investors' trading behavior. Therefore, this study emphasizes the importance of exploring the heterogeneity of individual investors to understand their behavior better.

키워드

Individual investorTrading behaviorTransactions dataClusteringMachine learningDeep learningSTOCKDISPOSITIONPERFORMANCESEARCHLONG
제목
Heterogeneous trading behaviors of individual investors: A deep clustering approach
저자
Hwang, YoontaePark, JunpyoKim, Jang HoLee, YongjaeFabozzi, Frank J.
DOI
10.1016/j.frl.2024.105481
발행일
2024-07
유형
Article
저널명
Finance Research Letters
65