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Behavioral biases of Indian investors: a survey of Delhi-NCR region

Author

Listed:
  • Jaya Mamta Prosad
  • Sujata Kapoor
  • Jhumur Sengupta

Abstract

Purpose - – The purpose of this paper is to examine the presence the behavioral biases in Indian investors specifically, overconfidence, excessive optimism (pessimism), herd behavior and the disposition effect. It further investigates the role of demographics and investor sophistication in influencing the biases. Finally, it reveals which bias is most prevalent in the Indian context. Design/methodology/approach - – For this purpose, a survey has been conducted on the investors of the Delhi/NCR area. The data have been collected with the help of a structured questionnaire that is analyzed with the help of relevant statistical tools. Findings - – The survey evidence shows that behavioral biases are dependent on investors’ demographics and their trading sophistication with highest influencing factors being age, profession and trading frequency. Each bias corresponds to a specific set of investor characteristics and overconfidence comes out to be the most important bias in the Indian context. Research limitations/implications - – The potential limitations of the present survey can be ascribed to socially desirable responses and their difference with actual market behavior. Further, due to time and resource constraint, the data set is limited to investors of only Delhi/NCR. Practical implications - – This study is most relevant for financial advisors, as it facilitates them in gaining a better understanding of their clients’ psychology. It can aid them in developing behaviorally modified portfolio, which best suits their clients’ predisposition. Originality/value - – The paper gives a unique insight on the investors’ profile corresponding to each bias under consideration. It not only updates the evidence on behavioral biases but also highlights which bias is the most influential in the Indian context.

Suggested Citation

  • Jaya Mamta Prosad & Sujata Kapoor & Jhumur Sengupta, 2015. "Behavioral biases of Indian investors: a survey of Delhi-NCR region," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 7(3), pages 230-263, August.
  • Handle: RePEc:eme:qrfmpp:v:7:y:2015:i:3:p:230-263
    DOI: 10.1108/QRFM-04-2014-0012
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    Citations

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    Cited by:

    1. 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.
    2. repec:gei:journl:v:2:y:2017:i:2:p:145-164 is not listed on IDEAS
    3. Jitender Kumar & Neha Prince, 2022. "Overconfidence bias in the Indian stock market in diverse market situations: an empirical study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 3031-3047, December.
    4. Etse Nkukpornu & Prince Gyimah & Linda Sakyiwaa, 2020. "Behavioural Finance and Investment Decisions: Does Behavioral Bias Matter?," International Business Research, Canadian Center of Science and Education, vol. 13(11), pages 1-65, November.
    5. Shashank Kathpal & Asif Akhtar & Asma Zaheer & Mohd Naved Khan, 2021. "Covid-19 and heuristic biases: evidence from India," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(4), pages 305-316, December.
    6. Muhammad Anwar, Sher Zaman Khan, Amin Ur Rehman, 2017. "Financial Literacy, Behavioral Biases and Investor's Portfolio Diversification: Empirical Study of an Emerging Stock Market," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(2), pages 144-163, October.

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