A comparison of artificial neural network model and logistics regression in prediction of companies’ bankruptcy (A case study of Tehran stock exchange)

Ali Mansouri; Arezoo Nazari; Morteza Ramazani

Journal ArticleOPEN ACCESS

A comparison of artificial neural network model and logistics regression in prediction of companies’ bankruptcy (A case study of Tehran stock exchange)

Mansouri A
Nazari A
Ramazani M

International Journal of Advanced Computer Research (2016) 6(24) 81-92

DOI: 10.19101/ijacr.2016.624010

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Abstract

… University, Saveh, Iran2 Young Researchers and Elite Club, Zanjan Branch, Islamic Azad University … years, two years and one year before bankruptcy, capacity of neural network model showed … accumulation of expenses regarding long term debt [4]. From the economic point of …

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APA

Mansouri, A., Nazari, A., & Ramazani, M. (2016). A comparison of artificial neural network model and logistics regression in prediction of companies’ bankruptcy (A case study of Tehran stock exchange). International Journal of Advanced Computer Research, 6(24), 81–92. https://doi.org/10.19101/ijacr.2016.624010

A comparison of artificial neural network model and logistics regression in prediction of companies’ bankruptcy (A case study of Tehran stock exchange)

Abstract

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