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Does individual heterogeneity shape retail investor behaviour?

Author

Listed:
  • Abhijeet Chandra
  • Kantesha Sanningammanavara
  • A. Satya Nandini

Abstract

Purpose - The purpose of this paper is to survey retail investors to study the determinants of their investment behaviour and show that individual heterogeneity and financial factors such as gender, age, educational status, income, and investment levels determine their trading behaviour across three domains; however, features such as marital status and occupation do not play any significant role in shaping their trading behaviour. Design/methodology/approach - Structured surveys are conducted on retail and small investors using the brokerage services of a firm. Data collected from primary methods are used for statistical analysis in ANOVA and multiple regression frameworks. Findings - The authors also report that retail investors’ self-perceived confidence as a function of both expected and unexpected changes in the market and personal factors largely determines trading behaviour of retail investors and that self-perceived confidence level and self-reported portfolio size are positively associated implying that (over-)confident retail investors tend to believe that their investment skills being superior are bound to perform better and thus they typically hold larger than average investment portfolios. Practical implications - These findings are significant because research on cross-sectional variance of individual investment behaviour explains how investor heterogeneity plays a critical role in investment and asset allocation decisions. Investors, researchers, and practitioners would use the results for financial decision making specifically related to personal finance, behavioural portfolio management, and investment advisory. Originality/value - This paper is an empirical approach to explore the retail investor behaviour using psychometric approach with respect to self-perceived confidence and other perceived measures of investor behaviour. The authors contribute to the emerging set of literature on investor behaviour and behavioural finance.

Suggested Citation

  • Abhijeet Chandra & Kantesha Sanningammanavara & A. Satya Nandini, 2017. "Does individual heterogeneity shape retail investor behaviour?," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 44(5), pages 578-593, May.
  • Handle: RePEc:eme:ijsepp:ijse-04-2015-0097
    DOI: 10.1108/IJSE-04-2015-0097
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    Citations

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    Cited by:

    1. Vineetha Mathew & Santhosh Kumar P K & Sanjeev M A, 2024. "Financial Well-being and Its Psychological Determinants— An Emerging Country Perspective," FIIB Business Review, , vol. 13(1), pages 42-55, January.
    2. Shelly Srivastava & Supriyo Roy, 2023. "Impact of Equity Investment Intention Towards Behaviour: An Empirical Analysis," Vision, , vol. 27(3), pages 329-346, June.
    3. Ritika & Nawal Kishor, 2020. "Development and validation of behavioral biases scale: a SEM approach," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(2), pages 237-259, November.
    4. V. Shunmugasundaram & Aashna Sinha, 2022. "Behavioral Biases Influencing Investment Decisions of Life Insurance Investors," International Journal of Economics and Financial Issues, Econjournals, vol. 12(6), pages 107-112, November.

    More about this item

    Keywords

    Behavioural finance; Financial markets; Demography; Investor behaviour; Personal finance; Behavioural economics; D14; E01; G02; G11;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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