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Investigating self-efficacy and behavioural bias on investment decisions

Author

Listed:
  • Kuppusamy Srinivasan

    (Anna University)

  • Parthasarathy Karthikeyan

    (Anna University)

Abstract

The determinants of irrational decisions on the stock market are found in numerous empirical studies. However, self-efficacy and behavioural biases have a sturdy influence on stock market investment decisions. Behavioural biases are formed with heuristics, prospect theory and herding effect concerning stock market investments. Self-efficacy is independent of behavioural biases but is closely connected with controlling behavioural intentions in decision-making. The research was conducted to find the influence of self-efficacy and behavioural biases in the decision of stock market investment. The study was conducted with 250 individual investors and applied the SEM technique. Findings indicated that heuristics had a positive relationship with behavioural biases, but behavioural biases reported a negative relationship with the herding effect and prospect theory. Heuristics were mostly developed on the intrinsic strength of individual investors; therefore, investors believe heuristics will be a better decision-making tool than prospect theory or the herding effect. Prospect theory is shaped and influenced by regret aversion, loss aversion, self-control and mental accounting. Financial literacy, risk tolerance, and peer support profoundly develop the self-efficacy of investors to make profitable investment decisions. Self-efficacy is formed by risk tolerance, financial literacy and peer support in the stock market investment decision and identified the evidence of individual investors not making rational decisions and facing one or more behavioural biases and self-efficacy factors. The study finds the combined effect of behavioural biases and self-efficacy in stock market investment decisions, which have significant implications among individual investors, particularly in emerging markets.

Suggested Citation

  • Kuppusamy Srinivasan & Parthasarathy Karthikeyan, 2023. "Investigating self-efficacy and behavioural bias on investment decisions," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 26(4), pages 119-133, December.
    • Handle: RePEc:bbl:journl:v:26:y:2023:i:4:p:119-133
    DOI: 10.15240/tul/001/2023-4-008
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    References listed on IDEAS

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    1. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," Journal of Finance, American Finance Association, vol. 56(4), pages 1247-1292, August.
    4. Hwang, Soosung & Salmon, Mark, 2004. "Market stress and herding," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 585-616, September.
    5. Nicholas Barberis & Ming Huang, 2001. "Mental Accounting, Loss Aversion, and Individual Stock Returns," NBER Working Papers 8190, National Bureau of Economic Research, Inc.
    6. Tan, Lin & Chiang, Thomas C. & Mason, Joseph R. & Nelling, Edward, 2008. "Herding behavior in Chinese stock markets: An examination of A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 61-77, January.
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    More about this item

    Keywords

    Heuristics; prospect theory; herding effect; self-efficacy; individual investors; stock market; investment decisions;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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