Detecting Falsified Financial Statements Using Data Mining: Empirical Research on the Finance Sector in Turkey

İlker Kıymetli Şen and Serkan Terzi
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İlker Kıymetli Şen: Okan University
Serkan Terzi: Cankiri Karatekin University

Journal of Finance Letters (Maliye ve Finans Yazıları), 2012, vol. 27, issue 96, 76-94

Abstract: The purpose of this paper is to develop a reliable model in order to determine the falsified financial statements (FFSs) of finance sector listed on the Istanbul Stock Exchange (ISE). In this paper, we conducted our research on financial statements of financial services companies for FFSs in ISE based on the auditor’s opinion. The results of this paper are compatible with previous studies and represent the indication of falsification risks of listed companies’ financial statements. In addition, we identified that some of the selected variables represent appropriate indication of FFSs.

Keywords: Falsification; Financial Statements; Data Mining; Finance Sector (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:acc:malfin:v:27:y:2012:i:96:p:76-94

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