مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

FORECAST EARNINGS MANAGEMENT BASED ON ADJUSTED JONES MODEL USING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS

Pages

  117-136

Abstract

 In recent years, EARNINGS MANAGEMENT in university research has attracted much attention. The aim of this study is to predict EARNINGS MANAGEMENT through DISCRETIONARY ACCRUALS based on adjusted Jones model. In this study, two models of ARTIFICIAL NEURAL NETWORKS and GENETIC ALGORITHMS - neural network hybrid model as a successful model to predict EARNINGS MANAGEMENT based on adjusted Jones model were used in the Tehran Stock Exchange. The sample used in this study is consisted of 570 firm-year between 2008 to 2013. The results showed that neural networks have a high ability to predict EARNINGS MANAGEMENT rather than the adjusted Jones linear model. The findings also suggest that, the genetic algorithm through optimizing artificial neural network weights is able to increase power of artificial neural network to predict EARNINGS MANAGEMENT.

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    APA: Copy

    FAGHANI MAKRANI, KHOSRO, SALEHNEZHAD, S.HASAN, & AMIN, VAHID. (2016). FORECAST EARNINGS MANAGEMENT BASED ON ADJUSTED JONES MODEL USING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 7(28), 117-136. SID. https://sid.ir/paper/358848/en

    Vancouver: Copy

    FAGHANI MAKRANI KHOSRO, SALEHNEZHAD S.HASAN, AMIN VAHID. FORECAST EARNINGS MANAGEMENT BASED ON ADJUSTED JONES MODEL USING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2016;7(28):117-136. Available from: https://sid.ir/paper/358848/en

    IEEE: Copy

    KHOSRO FAGHANI MAKRANI, S.HASAN SALEHNEZHAD, and VAHID AMIN, “FORECAST EARNINGS MANAGEMENT BASED ON ADJUSTED JONES MODEL USING ARTIFICIAL NEURAL NETWORKS AND GENETIC ALGORITHMS,” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 7, no. 28, pp. 117–136, 2016, [Online]. Available: https://sid.ir/paper/358848/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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