Expansion of Financial Distress Modeling Using Corporate Earnings Management in the Iran's Economic Environment

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Ramezanzadeh Zeidi Abbas; FAGHANI MAKRANI KHOSRO; JAFARI ALI

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Journal: Journal of Economic Modelling Year:2019 | Volume:13 | Issue:2 (46) Page(s): 101-120

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Information Journal Paper

Title

Expansion of Financial Distress Modeling Using Corporate Earnings Management in the Iran's Economic Environment

Author(s)

Ramezanzadeh Zeidi Abbas | FAGHANI MAKRANI KHOSRO | JAFARI ALI | Issue Writer Certificate

Keywords

Accounting VariablesQ1

Financial Distress Prediction Model (FDP)Q1

Abstract

The purpose of this study is to provide a model for financial distress predicting with real earnings management. So the redesignthe financial distress prediction model of Altman (1983) with the real earnings management variable as a predictor variable, the performance of the unadjusted model and the adjusted model in predicting of financial distress among companies accepted in the Tehran Stock Exchange was compared. The statistical sample consists of 179 Companies during the years 2008-2017. Data analysis and hypothesis testing were performed using multiple logistic regression. The results show that the overall accuracy of the adjusted model is higher than the unadjusted model.

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APA: Copy

Ramezanzadeh Zeidi, Abbas, FAGHANI MAKRANI, KHOSRO, & JAFARI, ALI. (2019). Expansion of Financial Distress Modeling Using Corporate Earnings Management in the Iran's Economic Environment. ECONOMIC MODELLING, 13(2 (46) ), 101-120. SID. https://sid.ir/paper/176237/en

Vancouver: Copy

Ramezanzadeh Zeidi Abbas, FAGHANI MAKRANI KHOSRO, JAFARI ALI. Expansion of Financial Distress Modeling Using Corporate Earnings Management in the Iran's Economic Environment. ECONOMIC MODELLING[Internet]. 2019;13(2 (46) ):101-120. Available from: https://sid.ir/paper/176237/en

IEEE: Copy

Abbas Ramezanzadeh Zeidi, KHOSRO FAGHANI MAKRANI, and ALI JAFARI, “Expansion of Financial Distress Modeling Using Corporate Earnings Management in the Iran's Economic Environment,” ECONOMIC MODELLING, vol. 13, no. 2 (46) , pp. 101–120, 2019, [Online]. Available: https://sid.ir/paper/176237/en

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