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Do investor’s Big Five personality traits influence the association between information acquisition and stock trading behavior?

Author

Listed:
  • Muhammad Zubair Tauni
  • Zia-ur-Rehman Rao
  • Hongxing Fang
  • Sultan Sikandar Mirza
  • Zulfiqar Ali Memon
  • Khalil Jebran

Abstract

Purpose - The purpose of this paper is to investigate the impact of the frequency of information acquisition on the frequency of stock trading. The authors also examined if the Big Five personality traits of investor influence the association between information acquisition and stock trading behavior. Design/methodology/approach - The authors adopted NEO Five-Factor Inventory (Costa and McCrae, 1989) inventory to measure the Big Five personality traits of investors and examined the data collected from 541 individual investors of the Chinese stock market. To overcome the potential endogeneity bias, the authors followed two-stage least square method for estimating endogenous covariate by employing instrumental variable analysis. The authors performed probit regression to evaluate the moderating influence of investor personality traits on the association between information acquisition and stock trading behavior. The authors also performed several other tests to check the robustness of the key findings. Findings - This research confirmed the previous findings that the more frequently investors acquire information, the more often they trade in stocks. Moreover, the authors added to the existing literature by providing empirical evidence that the Big Five personality traits moderate the relationship of information acquisition with stock trading behavior. Information acquisition tends to increase stock trading frequency in investors with conscientiousness, extraversion and agreeableness traits. On the other hand, it also has the tendency to decrease the intensity of stock trading in investors with openness and neuroticism traits. Research limitations/implications - The theoretical model in this study seeks to explain that the psychological factor, namely, investor personality, influences the way an investor interprets signals from information which in turn influences the investor decision to trade in securities. This research suggests that psychological characteristics of investors can be of relevance for policy makers in their attempts to improve their business in the financial services industry. Originality/value - This study combines both information search literature and behavioral finance literature to investigate whether or not the information acquisition that relates to investors’ asset allocation decisions is influenced by investor personality. The study offers new theoretical insights into investors’ behavior due to the characteristics of the Chinese stock market which are uniquely different from other stock markets in the world. No previous study has been conducted so far in the Chinese stock market to explore variations in the impact of investors’ information acquisition on their stock trading by the Big Five personality and this paper strives to fill this research gap.

Suggested Citation

  • Muhammad Zubair Tauni & Zia-ur-Rehman Rao & Hongxing Fang & Sultan Sikandar Mirza & Zulfiqar Ali Memon & Khalil Jebran, 2017. "Do investor’s Big Five personality traits influence the association between information acquisition and stock trading behavior?," China Finance Review International, Emerald Group Publishing Limited, vol. 7(4), pages 450-477, September.
  • Handle: RePEc:eme:cfripp:cfri-06-2016-0059
    DOI: 10.1108/CFRI-06-2016-0059
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    Citations

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    Cited by:

    1. Charl Maree & Christian W. Omlin, 2022. "Reinforcement learning with intrinsic affinity for personalized prosperity management," Digital Finance, Springer, vol. 4(2), pages 241-262, September.
    2. Rao, Aniruddha S. & Lakkol, Savitha G., 2022. "A review on personality models and investment decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    3. Hou, Shehong & Niu, Yingjie & Yang, Jinqiang, 2018. "Optimal consumption-portfolio rules with biased beliefs," Economics Letters, Elsevier, vol. 173(C), pages 152-157.
    4. Thomas, Sheetal & Goel, Mridula & Agrawal, Dipak, 2020. "A framework for analyzing financial behavior using machine learning classification of personality through handwriting analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    5. Guo, Mengmeng & Wei, Mengxin & Huang, Lin, 2022. "Does air pollution influence investor trading behavior? Evidence from China," Emerging Markets Review, Elsevier, vol. 50(C).
    6. Tauni, Muhammad Zubair & Yousaf, Salman & Ahsan, Tanveer, 2020. "Investor-advisor Big Five personality similarity and stock trading performance," Journal of Business Research, Elsevier, vol. 109(C), pages 49-63.
    7. Safeer Ullah Khan & Mansi Wang & Ikram Ullah Khan & Xiang‐dong Liu, 2022. "Evaluating stock trading behaviour: Information sources nexus through intrinsic and extrinsic motivation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2965-2976, July.
    8. Sune Ferreira-Schenk & Zandri Dickason-Koekemoer & Naveed Hussain Shah, 2021. "Factors Influencing Individuals Short-term Investment Intentions," International Journal of Economics and Financial Issues, Econjournals, vol. 11(4), pages 73-81.

    More about this item

    Keywords

    Information; Behavioural finance; Trading; Chinese stock market; The Big Five personality; G02; D83; G11; G12; G14;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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