Prediction of corporate financial health by Artificial Neural Network

Sumit Chakraborty and Sushil K. Sharma

International Journal of Electronic Finance, 2007, vol. 1, issue 4, 442-459

Abstract: Neural networks are perhaps the most significant forecasting tool to be applied to the financial markets in recent years and are gaining ascendancy because of reports of their success. This paper checks out the classification capability of Radial Basis Function Networks (RBF), Multi-Layer Perceptrons (MLPs) with and without Principal Component Analysis (PCA), Self-Organizing Feature Maps (SOFM) with MLP and Support Vector Machine (SVM) neural architecture for prediction of the financial health of firms.

Keywords: artificial neural networks; ANNs; financial health; corporate failure; prediction; forecasting tools; electronic finance. (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijelfi:v:1:y:2007:i:4:p:442-459

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