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Segmenting Investors on their Biases Manifested in Investment Decision-Making by Individual Investors Fatima, Afreen; Sharma, Jitendra Kumar
SEISENSE Journal of Management Vol. 4 No. 4 (2021): SEISENSE Journal of Management
Publisher : SEISENSE (PRIVATE) LIMITED

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33215/sjom.v4i4.663

Abstract

Purpose- This study proposes to identify the certain biases affecting investor decision-making and to segment investors accordingly. Design/Methodology- A quantitative research method was applied to measure the existence and impact of the biases on investment decision-making. A survey was administered among the stock market investors in Uttar Pradesh. Factor analysis was used to extract those biases that significantly impact investment decision-making and their mean score to assess the level of agreement that affects their investment decisions. Findings - The finding reveals that eight extracted factors affect the investment decisions and accordingly segment them on the biases they exhibit. The investors tend to fall into Imitator, Stereotypical, Independent Individualist, Risk Intolerant, Efficient Planner, Confident, Passive, and Competent Confirmer. The Imitators, Independent Individualists, and Confident investors show their higher level of agreement that highly affects their equity investment decision-making. Practical Implication- This study provides a base to segment the investors on their biases. In addition, it will help in customizing the investment recommendation based on their biases to improve the investment decisions.
Cognitive dissonance and investors’ decision-making: A review Fatima, Afreen
International Journal of Financial, Accounting, and Management Vol. 1 No. 1 (2019): June
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ijfam.v1i1.56

Abstract

Purpose: The purpose of this research is to develop a conceptual framework of cognitive dissonance bias that influences the investment decision-making. Research Methodology: This research uses empirical studies in order to assess the accurate deviation of investors’ behaviour from rational decisions. Results: The result of this study reveals the identified factors like age, emotional biases, overconfidence, and confirmations biases that enhance the cognitive dissonance that influence the decision making of the investors. Keywords: Cognitive dissonance bias, Psychological biases, Investment decisions, Behavioural finance, Psychology of investors. How to Cite: Fatima, A. (2019). Cognitive dissonance and investors decision-making: a review. International Journal of Financial, Accounting, and Management, 1(1), 39-45