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A Review of Bankruptcy and its Prediction

Author

Listed:
  • Ahmad Ahmadpour Kasgari

    (Mazandaran University)

  • Seyyed Hasan Salehnezhad

    (Payame Noor University)

  • Fatemeh Ebadi

    (Islamic Azad university)

Abstract

Bankruptcy is one of the key issues across the globe which influences the economy of all the countries. Heavy social and economic costs which are imposed by bankrupted companies on stockholders can cause motivation of researchers in providing different methods for predicting bankruptcy. In this research, investigating the research literature and providing some definitions on bankruptcy and its reasons, we will deal with different modes of predicting bankruptcy in two groups of parametric and non-parametric. Non-parametric methods such as neural networks have high level efficiency and accuracy due to their unique features compared to statistical model.

Suggested Citation

  • Ahmad Ahmadpour Kasgari & Seyyed Hasan Salehnezhad & Fatemeh Ebadi, 2013. "A Review of Bankruptcy and its Prediction," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 3(4), pages 274-277, October.
    • Handle: RePEc:hur:ijaraf:v:3:y:2013:i:4:p:274-277
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    References listed on IDEAS

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    Cited by:

    1. Bukvić, Rajko & Pavlović, Radica, 2018. "Динамички Коефицијенти: Нови Приступ У Анализи Солвентности Предузећа [The Dynamic Coefficients: New Approach to the Analysis of Company’s Solvency]," MPRA Paper 94757, University Library of Munich, Germany.

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