Özet:

(Detecting False Financial Statements Using Published Data From The Istanbul Stock Exchange) The aim of this study is to detect the false financial statements of the published data of the manufacturing firms listed in the Istanbul Stock Exchange. A sample of 122 firms described over 12 financial ratios is used for detecting factors associated with false financial statements. 23 firms are selected as manipulators where their financial statements are corrected by the Capital Markets Board of Turkey, 99 firms are selected as control firms where there is no signs on falsifying their financial statements. Logistic regression model adopted as a model to identify factors associated with False Financial Statements. The results demonstrate that net profit to total assets and financial expenses to operating expenses function effectively in detecting false financial statements.

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