The ability to assess and explain the models and optional Aqlamthdy revenue model Optional for detecting earnings management

Subject Areas :

فریدون Rahnemaei ¹ (استاد، گروه آموزشی حسابداری، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران)
صادق Rezaei ² (دانشیار گروه آمار دانشگاه صنعتی امیرکبیر)
A.K Salehi ³ (دانشجوی دکتری ، گروه آموزشی حسابداری ، واحد علوم و تحقیقات ، دانشگاه آزاد اسلامی، تهران، ایران)

Received: 2015-05-06 Accepted : 2015-05-06 Published : 2014-11-22

Keywords:

Abstract :

Prior studies document that managers may manage earnings to effect on the market value of stock or opportunistic objectives through the discretionary accruals and revenuesmodels. The purpose of this study is to investigate the power of the discretionary accruals and revenuesmodel to forecast the earnings management in the listed companies on the Tehran Stock Exchange (TSE). Also, we investigated the effect every one these models on market value of stock and their relationship with information asymmetry and Q Tobin measures in companies listed on the TSE. The methodology is a data-gathering method and correlation by using multiple regressions and a sample including 1000 years-firms during 2001-2010. The results show that the discretionary accruals-based earnings management models have more abilityin forecasting of earnings management in comparison todiscretionary revenues-based earnings management model. In addition, in contrast to discretionary accruals-based earnings management measure, the discretionary revenues-based earnings management model is an influential and relevance variable on the market value of firm` stock. None of earnings management models don’t confirm correlation between earnings management criteria with information asymmetry measure and alone calculated earnings management on the basis of Kasznik model has significant relationship with Q Tobin measure.

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