A Heuristic Model for Predicting Bankruptcy

Journal Title: International Journal of Finance and Managerial Accounting - Year 2017, Vol 2, Issue 5

Abstract

Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of performance accuracy in the area of bankruptcy prediction. A sample of 108 firms listed in Tehran Stock Exchange is used for the study. Our results confirm that Kohonen network is a robust model for predicting bankruptcy in today’s fast changing business environment

Authors and Affiliations

Ahmad Nasseri, Sajad Abdipour, Shahoo Aghabeigzadeh, Hassan Yazdifar

Keywords

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  • EP ID EP535406
  • DOI -
  • Views 75
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How To Cite

Ahmad Nasseri, Sajad Abdipour, Shahoo Aghabeigzadeh, Hassan Yazdifar (2017). A Heuristic Model for Predicting Bankruptcy. International Journal of Finance and Managerial Accounting, 2(5), 1-7. https://europub.co.uk/articles/-A-535406