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Towards Predicting Financial Information Manipulation

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dc.contributor.author Aktaş, Ramazan
dc.contributor.author Alp, Ali
dc.contributor.author Doğanay, Mehmet Mete
dc.date.accessioned 2024-05-14T08:01:21Z
dc.date.available 2024-05-14T08:01:21Z
dc.date.issued 2007-07
dc.identifier.citation Aktaş, Ramazan; Alp, Ali; Doğanay, Mehmet M. (2007). "Towards Predicting Financial Information Manipulation", The IUP Journal of Applied Finance. tr_TR
dc.identifier.issn 0972-5105
dc.identifier.uri http://hdl.handle.net/20.500.12416/8280
dc.description.abstract Manipulation is one of the important issues in securities markets because manipulative actions send false signals to the investors and make them buy or sell securities they otherwise would not buy or sell. There are different types of manipulations that can deceive investors. One type of manipulation is financial information manipulation. Manipulators, who use this type of manipulation, distort information in the financial statements in order to give false information about the prospects of the issuing firms. This paper attempts to predict financial information manipulation by using the multivariate statistical techniques and neural networks. A number of financial ratios are used as explanatory variables. The multivariate statistical techniques used are discriminant analysis, logistics regression (logit), and probit. Unlike other studies, the present study takes multicollinearity between financial ratios into account and conclude that the estimated multivariate statistical models rather than the neural networks can be used as early warning systems to detect possible financial information manipulations. tr_TR
dc.language.iso eng tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Applied Finance Journal tr_TR
dc.subject Financial Information Manipulation tr_TR
dc.subject Statistical Techniques tr_TR
dc.subject United States International Trade Commission tr_TR
dc.subject Mergers And Acquisition tr_TR
dc.subject Stock Exchange Markets. tr_TR
dc.subject Capital Markets Board tr_TR
dc.subject Financial Services Companies tr_TR
dc.subject Multivariate Statistical Methods tr_TR
dc.title Towards Predicting Financial Information Manipulation tr_TR
dc.type article tr_TR
dc.relation.journal The IUP Journal of Applied Finance tr_TR
dc.contributor.authorID 112010 tr_TR
dc.contributor.department Çankaya Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümü tr_TR


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