Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/5819
Title: Self-attribution and overconfidence in Colombo Stock Exchange
Authors: Perera, W.T.N.M.
Gunathilaka, C.
Keywords: Overconfidence;Self-attribution;Colombo Stock Exchange
Issue Date: 2022
Publisher: University of Jaffna
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.
URI: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/5819
Appears in Collections:IJABF 2022

Files in This Item:
File Description SizeFormat 
Self-attribution and overconfidence in Colombo Stock Exchange.pdf391.42 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.