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Individual investment decision behaviors based on demographic characteristics: Case from China

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  • Qiujun Lan
  • Qingyue Xiong
  • Linjie He
  • Chaoqun Ma

Abstract

Predicting and analyzing behaviors of investors is of great value to financial institutions. This paper uses survey data from about 9,000 individual investors across China to explore the predictability of decision behaviors by studying demographic characteristics that are relatively easy to obtain. After applying Pearson’s chi-squared test, Spearman rank correlation test, and several data mining methods, we verified that demographic characteristics are closely linked to decision behaviors, and it would be an economical and feasible solution for financial organizations to build initial behavioral prediction models especially when investors’ behavioral data are insufficient.

Suggested Citation

  • Qiujun Lan & Qingyue Xiong & Linjie He & Chaoqun Ma, 2018. "Individual investment decision behaviors based on demographic characteristics: Case from China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-16, August.
    • Handle: RePEc:plo:pone00:0201916
    DOI: 10.1371/journal.pone.0201916
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    References listed on IDEAS

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    Cited by:

    1. Manda, Vijaya Kittu & Sana, Alekhya, 2021. "Impact Of Mental Health And Well-Being Of Indian Stock Market Traders," MPRA Paper 109941, University Library of Munich, Germany.
    2. Syarifuddin, Ferry, 2020. "An Optimal Islamic Investment Decision in Two-region Economy: The Case of Indonesia and Malaysia," MPRA Paper 104809, University Library of Munich, Germany.
    3. Rob Kim Marjerison & Chungil Chae & Shitong Li, 2021. "Investor Activity in Chinese Financial Institutions: A Precursor to Economic Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-17, November.

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