The Relationship between Investor Behavior and Portfolio Performance at the Nairobi Securities Exchange

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dc.contributor.author Nyamute, Winnie
dc.contributor.author Lishenga, Josephat
dc.contributor.author Oloko, Margaret
dc.date.accessioned 2017-02-08T08:31:00Z
dc.date.available 2017-02-08T08:31:00Z
dc.date.issued 2017-02-08
dc.identifier.issn 2349-5979
dc.identifier.uri www.allsubjectjournal.com
dc.identifier.uri http://hdl.handle.net/123456789/2624
dc.description.abstract Abstract Extreme unpredicted momentum in global indices and security prices associated with uncertainty and unexplained stock price movements have made life difficult for a rational investor who relies on market fundamentals to make investment decisions. This study attempted to determine the contribution of investor behavior in influencing investor portfolio performance at the Nairobi Securities Exchange using a sample of 385 individual stock investors. The relationship between investor behavior and portfolio performance was tested using multiple regression. The overall model was statistically significant indicating that investor behavior influences portfolio performance with herding and disposition effect having a positive effect on portfolio performance while overconfidence has a negative effect on performance. The findings provide an eye-opener and basis of appreciation of the effect of behavioral biases on the results of trading activities. Stock market players can use these findings to understand the market dynamics and incorporate behavioral factors in analysing capital markets performance. en_US
dc.language.iso en en_US
dc.relation.ispartofseries International Journal of Multidisciplinary Research and Development;Volume: 2, Issue: 5, 548-551 May 2015
dc.subject JKUAT en_US
dc.subject Investor behavior en_US
dc.subject herding en_US
dc.subject overconfidence en_US
dc.subject disposition effect en_US
dc.subject portfolio performance en_US
dc.title The Relationship between Investor Behavior and Portfolio Performance at the Nairobi Securities Exchange en_US
dc.type Article en_US


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