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

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.

Citation

Prosad, J.M., Kapoor, S. and Sengupta, J. (2015), "Behavioral biases of Indian investors: a survey of Delhi-NCR region", Qualitative Research in Financial Markets, Vol. 7 No. 3, pp. 230-263. https://doi.org/10.1108/QRFM-04-2014-0012