Integrating Neural Network and Colonial Competitive Algorithm: A New Approach for Predicting Bankruptcy in Tehran Security Exchange
Vol. 3 No. 11 (2013), Articles
Vol. 3 No. 11 (2013)

Integrating Neural Network and Colonial Competitive Algorithm: A New Approach for Predicting Bankruptcy in Tehran Security Exchange

Sajad Abdipour
M.A in accounting, USB University, South Africa
Ahmad Nasseri
P.H.D in accounting, USB University, South Africa
Mojtaba Akbarpour
M.A in accounting, USB University, South Africa
Hossein Parsian
M.A in accounting, Raja University, South Africa
Shahrzad Zamani
M.A in accounting, USB University, South Africa
View Abstract View PDF Download PDF

Keywords

Bankruptcy, Prediction, Neural network, Imperialist competitive algorithm.

How to Cite

Abdipour, S. ., Nasseri, A. ., Akbarpour, M. ., Parsian, H. ., & Zamani, S. . (2013). Integrating Neural Network and Colonial Competitive Algorithm: A New Approach for Predicting Bankruptcy in Tehran Security Exchange. Asian Economic and Financial Review, 3(11), 1528–1539. Retrieved from https://archive.aessweb.com/index.php/5002/article/view/1105
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Abstract

Bankruptcy filings are as high today as ever, calling into question the efficacy of existing bankruptcy prediction models. This paper tries to provide an alternative for bankruptcy prediction by integrated Multi Layered Perceptron with Imperialist Competitive Algorithm (MLP-ICA) and Kohonen self organizing map. Research sample consist of 70 bankrupts and non-bankrupt company in 2001-2009 and in listed firms of Tehran Stock Exchange. Results indicate that MLP-ICA model outperform Kohonen self organizing map.

View Abstract View PDF Download PDF

Downloads

Download data is not yet available.