Hileli finansal raporlama riskini ortaya cikaran faktorler : BIST'da bir uygulama

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%.peer-reviewe

Muhasebe manipulasyonun tespitinde Beneish modelinin kullanimi : BIST imalat sanayii sektorunde bir ampirik calisma

Falsifications made on financial tables which are the outputs of accounting decreases the confidence relied on the financial statements. Falsified financial reports emerged as a result of manipulation misguide or misdirect the financial statements’ users. In this study, it was researched whether 132 firms continuously operating in Manufacturing Industry sector at Istanbul Stock Exchange (BIST) between the years of 2010-2012 are drawn to manipulation in accounting. Beneish model is the most preferred model in literature as manipulation identifying model. In the study, logistic regression method was used and it was concluded that the rates as Working Capital/Total Assets(WC/TA), Working Capital/Sales(WC/Sales), Net Working Capital/Sales(NWC/Sales) and Natural Logarithm of Total Debts(NLTD) are effective in identifying the manipulation in accounting.peer-reviewe