Financial statement misrepresentation : could investors detect it?

dc.contributor.authorKwasitsu, Deliah Leonie
dc.contributor.authorUniversity of Lethbridge. Faculty of Management
dc.contributor.supervisorNelson, Toni
dc.date.accessioned2008-02-28T21:50:17Z
dc.date.available2008-02-28T21:50:17Z
dc.date.issued2004
dc.descriptionxi, 73 leaves ; 29 cm.en
dc.description.abstractThe current study is designed to develop a model to improve investors’ ability to identify firms that engage in financial statement misrepresentation by carefully analyzing published financial reports. Earnings management literature indicates that financial statement information is not fully utilized by investors and that fundamental analysis provides useful information about a firm’s financial performance. The study examines accruals and the components that firms commonly use to violate GAAP in order to develop a probit regression model as an early detector of financial misrepresentation. The analysis consists of a matched-paired sample of 30 U.S. fraud firms and 30 non-fraud firms extracted from the GAO and Compustat databases. The results show that an investor who is comparing two firms from the same industry may use the lower Z score of the model and improve the chances of avoiding a fraud firm by at least 23%.en
dc.identifier.urihttps://hdl.handle.net/10133/613
dc.language.isoen_USen
dc.publisherLethbridge, Alta. : University of Lethbridge, Faculty of Management, 2004en
dc.publisher.facultyManagementen
dc.relation.ispartofseriesProject (University of Lethbridge. Faculty of Management)en
dc.subjectMisleading financial statementsen
dc.subjectFinancial statementsen
dc.subjectAccounting frauden
dc.subjectStockholdersen
dc.titleFinancial statement misrepresentation : could investors detect it?en
dc.typeTechnical Reporten
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