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dc.contributor.authorNguyen Ngoc, Anh
dc.date.accessioned2017-04-10T20:43:33Z
dc.date.accessioned2018-06-19T06:09:52Z
dc.date.available2017-04-10T20:43:33Z
dc.date.available2018-06-19T06:09:52Z
dc.date.issued2015
dc.identifier.other022002230
dc.identifier.urihttp://10.8.20.7:8080/xmlui/handle/123456789/1620
dc.description.abstractVietnam stock exchange is still new yet a promising field. Having 15 years of operation, Vietnam stock market has had a rapid development in scale. The expansion of stock market, decidedly, influences the development of the economy. The stock market, then, is most likely to be governed by the behavior of individual investors. There have been many studies on finance area, yet research on the human behaviors investment in finance is a quite new area. Hence, the main objective of this study is to identify determinants that have impact on individual investors’ behaviors on Vietnam stock market. The research model was tested using SPSS 22 and AMOS 22 software and 384 valid responses collected through questionnaires distributed to individual investors at Hanoi and Ho Chi Minh Stock Exchange. The result shows that Herd behavior is the most important factor that affects investment behavior of individual investors, followed by Risk propensity, Optimism, Overconfidence, Investor awareness, Risk preferences, and Risk perception respectively. Most of these factors have positive impacts, whereas risk perception has negative influence. Overall, the findings found from this study is able to provide some recommendations to encourage investment behavior of individual investors on stock market which can indirectly help to boost the improvement of the economyen_US
dc.description.sponsorshipMBA. Nguyen Thi Thuy Trangen_US
dc.language.isoen_USen_US
dc.publisherHCMC - International Universityen_US
dc.relation.ispartofseries;022002230
dc.subjectInvestment -- Individual investmenten_US
dc.titleAn investigation on determinants influencing the investment behavior of individual investors in Vietnam stock marketen_US
dc.typeThesisen_US


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