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dc.contributor.authorMikulec, Ondřej
dc.date.accessioned2018-03-26T06:10:58Z
dc.date.available2018-03-26T06:10:58Z
dc.date.issued2017
dc.identifier.citationEkonomická revue. 2017, roč. 20, č. 2, s. 53-59 : il.cs
dc.identifier.issn1212-3951
dc.identifier.urihttp://hdl.handle.net/10084/125315
dc.description.abstractThis study aims to examine the associations between risk attitude and trading behaviour using multiple correspondence analysis. Trading behaviour is represented by success in investment activity and frequency of trading on the foreign exchange market. Trading on the foreign exchange market was performed in real-life conditions via an electronic trading platform by a group of university students. The study empirically confirms associations among observed sets of categorical variables and defines patterns in given relationships. The study further shows that risk-averse investors are associated with low losses and low frequency of trading. Risk-neutral investors divert the frequency of trading with profitability corresponding to the frequency of trading, while risk lovers tend to have volatile trading behaviour and on average little success in trading. The results produced by multiple correspondence analysis of the observed sets of variables summarize the analogies between trading behaviour and risk attitude using a combined coordinated biplot as a diagnostic graphical method.cs
dc.format.extent778568 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.relation.ispartofseriesEkonomická revuecs
dc.relation.urihttps://www.ekf.vsb.cz/export/sites/ekf/cerei/cs/cisla/vol20/vol20num2/dokumenty/VOL20NUM02PAP02.pdf
dc.rights© Vysoká škola báňská - Technická univerzita Ostravacs
dc.subjectfrequency of tradingen
dc.subjectmultiple correspondence analysisen
dc.subjectrisk attitudeen
dc.subjecttrading behaviour patternsen
dc.titleUse of multiple correspondence analysis to identify the influence of risk attitude on trading behaviouren
dc.typearticle
dc.identifier.doi10.7327/cerei.2017.06.01
dc.rights.accessopenAccess
dc.type.versionpublishedVersion
dc.type.statusPeer-reviewed


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