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Determinants of overconfidence bias in Indian stock market

Priya Kansal (Department of Humanities, Delhi Technological University, Delhi, India)
Seema Singh (Department of Humanities, Delhi Technological University, Delhi, India)

Qualitative Research in Financial Markets

ISSN: 1755-4179

Article publication date: 24 October 2018

Issue publication date: 2 November 2018

1346

Abstract

Purpose

The purpose of this paper is to conduct an exploratory analysis of the demographic factors and investors’ characteristics, which cause changes in the extent of overconfidence level and its constituents among the individuals.

Design/methodology/approach

A survey has been conducted to explore the determinants of overconfidence and its constituents with the help of a well-structured close-ended questionnaire. The four constituents of overconfidence considered for the study are “better than average effect,” “planning fallacy,” “self-attribution” and “positive illusion.” The collected data are analyzed with the help of t-test, ANOVA and standard ordinary least square regression.

Findings

The results show that those who earn high, have more dependents, share the earning responsibility, have high investment frequency, less time horizon and more investment experience and invest in large cap stocks are more subject to the overconfidence. The study also concludes that gender, age and general education do not affect the level of overconfidence.

Research limitations/implications

The results of the study are useful for the market regulators, financial educators, stock market advisors and individual investors in avoiding costly investment mistakes, especially when transiting from one category of demographic and investment characteristics to another category of demographic and investment characteristics.

Originality/value

The study is unique in itself, as it contributes an instrument to quantify the level of overconfidence among the individual investors. Moreover, the study attempts to explore the impact of all demographic and investment characteristics in one go, which makes it a valuable contribution in the existing literature.

Keywords

Citation

Kansal, P. and Singh, S. (2018), "Determinants of overconfidence bias in Indian stock market", Qualitative Research in Financial Markets, Vol. 10 No. 4, pp. 381-394. https://doi.org/10.1108/QRFM-03-2017-0015

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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