Determinants of fraudulent financial reporting risk : evidence from Istanbul stock exchange (ISE)

Abstract

The data users need reliable financial statements when they make any decision. In this study we aim to identify the factors that determine fraud risk in financial statements by examining the listed firms in Istanbul Stock Exchange (ISE) over the period 2009 and 2013. Using quarterly data, we included 408 periods belonging 32 firms that have fraud risk and the control group consists of 20 firms with 400 periods in this analysis. By employing logistics regression analysis, we found that receivables turnover, financial leverage, gross profit margin, BV (Book Value) / MV (Market Value), natural logarithm of total assets, the total duration of the firms in the stock exchange, the big four auditing firm and z score are important factors to detect the fraud risk in financial statements. The correct classification rate of the logistic regression analysis is found 75.1%.