Neuro-Fuzzy Approach To Fundamental Analysis

dc.authoridTR18388en_US
dc.contributor.authorYıldız, Birol
dc.date.accessioned2014-11-13T14:35:45Z
dc.date.available2014-11-13T14:35:45Z
dc.date.issued2005en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractThe purpose of this study was to perform fundamental analysis and cross-sectional prediction of stock return with neuro-fuzzy. Also this study tries to understand the investors' process of financial statement analysis by interpreting the neuro-fuzzy model rules. The data set consisted of firms traded on the Istanbul Stock Exchange (ISE) in Turkey during the period of 1992-1999. Validation of the neuro-fuzzy model is conducted at the portfolio level. Even though there wasn't any statistically significant difference, the neuro-fuzzy model provides slightly higher return than benchmark portfolios. Also this approach exposes how investors select those firms which have low P/E ratios but high gross profit and/or operating profit.en_US
dc.description.sponsorshipİstanbul Ticaret Üniversitesien_US
dc.identifier.isbn975651616X
dc.identifier.urihttps://hdl.handle.net/11467/873
dc.language.isoenen_US
dc.publisherİstanbul Ticaret Üniversitesien_US
dc.relation.ispartofThe Effects Of Globalization On Financial Reportingen_US
dc.relation.ispartofseriesThe Effects Of Globalization On Financial Reporting : 25-29 May 2005, Conference Proceedings;17
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Başka Kurum Yazarıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectNeuro-Fuzzy, Fundamental Analysis, Financial Statement Analysis, Investment Decision Support System, Artificial Intelligence.en_US
dc.titleNeuro-Fuzzy Approach To Fundamental Analysisen_US
dc.typeConference Objecten_US

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