In Research of Optimal Model for Predicting Bankruptcy

Science Road Journal, Volume 1, Issue 3, 2013

11 Pages Posted: 13 Jul 2014

See all articles by Sajad Abdipoor

Sajad Abdipoor

Panjab University

Mojtaba Akbarpour

Panjab University

Amir Shams Koloukhi

Islamic Azad University - Young Researchers and Elites Club

Dr.Hossein Parsian

Plan and Budget organization of Iran

Date Written: September 10, 2013

Abstract

In this study we tried to compare two models in order to identify optimal neural networks models in predicting bankruptcy. Multi-layered perceptron (MLP) because of easy training and high efficiency and also integrated multi-layered perceptron (most used neural network in predicting bankruptcy) with new imperialist competitive algorithm (MLP-ICA) are used in this study. Research sample consist of 70 bankrupts and non-bankrupt company in 2001-2009 and in listed firms of Tehran Stock Exchange. Results indicate that notwithstanding their good performance, they aren’t any significant difference in their performance.

Keywords: Bankruptcy, Neural Network, imperialist competitive algorithm

JEL Classification: C45, G33

Suggested Citation

Abdipoor, Sajad and Akbarpour, Mojtaba and Shams Koloukhi, Amir and Parsian, Hossein, In Research of Optimal Model for Predicting Bankruptcy (September 10, 2013). Science Road Journal, Volume 1, Issue 3, 2013, Available at SSRN: https://ssrn.com/abstract=2464049

Sajad Abdipoor

Panjab University ( email )

Sector 14
Sector 14
Chandigarh, 160014
India

Mojtaba Akbarpour

Panjab University ( email )

Sector 14
Sector 14
Chandigarh, 160014
India

Amir Shams Koloukhi

Islamic Azad University - Young Researchers and Elites Club ( email )

Torbat-e-Jam Branch
Torbat-e-Jam
Iran

Hossein Parsian (Contact Author)

Plan and Budget organization of Iran ( email )

Tehran, Tehran
Iran

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
34
Abstract Views
480
PlumX Metrics