Reading: Self-attribution and overconfidence in Colombo Stock Exchange

Download

A- A+
Alt. Display

Research

Self-attribution and overconfidence in Colombo Stock Exchange

Authors:

W. T. N. M. Perera ,

University of Kelaniya, LK
About W. T. N. M.
Department of Accountancy
X close

C. Gunathilaka

University of Sri Jayawardenepura, LK
About C.
Department of Finance
X close

Abstract

The physiological behaviors in Colombo Stock Exchange to be discovered as they cause to have market anomalies in which is not technically driven and there are compared to other countries. The purpose of this study is to observe whether overconfidence bias and self-attribution bias exist in Colombo Stock Exchange. This study utilises the Structural Equation Modeling to analyse the collected data by using a questionnaire survey from 418 active individual investors in Colombo Stock Exchange. Out of the three stages of rational decision-making theory, it is observed that evaluating alternatives contribute to overconfidence bias and self-attribution biased significantly. Therefore, it is evidenced that if the investors do not concern on demand identification and evaluating alternatives correctly, investors may be influenced to overconfidence bias and self-attribution bias that the investors in Colombo Stock Exchange follow the theory of rational decision-making which related to evaluating alternatives. According to the findings of this study, there is a mixed result of both rational and irrational investor behavior. Hence, the investors in Colombo Stock Exchange display an apparently both rational and irrational behaviors in making investment decision processes. The findings of this study are imperative to investors, investment advisors, and policy makers etc. to have rational investment decisions in the Colombo Stock Exchange.
How to Cite: Perera, W.T.N.M. and Gunathilaka, C., 2022. Self-attribution and overconfidence in Colombo Stock Exchange. International Journal of Accounting and Business Finance, 8(1), pp.52–64. DOI: http://doi.org/10.4038/ijabf.v8i1.117
Published on 29 Jul 2022.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus