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

Sajad Abdipour, Ahmad Nasseri, Mojtaba Akbarpour, Hossein Parsian and Shahrzad Zamani

Asian Economic and Financial Review, 2013, vol. 3, issue 11, 1528-1539

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.

Keywords: Bankruptcy; Prediction; Neural network; Imperialist competitive algorithm. (search for similar items in EconPapers)
Date: 2013
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