A Review of Bankruptcy and its Prediction

Ahmad Ahmadpour Kasgari (), Seyyed Hasan Salehnezhad () and Fatemeh Ebadi ()
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Ahmad Ahmadpour Kasgari: Mazandaran University
Seyyed Hasan Salehnezhad: Payame Noor University
Fatemeh Ebadi: Islamic Azad university

International Journal of Academic Research in Accounting, Finance and Management Sciences, 2013, vol. 3, issue 4, 274-277

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.

Keywords: Bankruptcy; Prediction of Bankruptcy; Multiple discriminant analysis; parametric techniques; Non-parametric techniques (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hur:ijaraf:v:3:y:2013:i:4:p:274-277

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