A Neural Learning on Indian Manufacturing Sector in Prognosticating Bankruptcy

13 Pages Posted: 10 Jul 2020

Date Written: May 22, 2020

Abstract

Bankruptcy is a menacing situation, which the investors, businesses, and the economy are afraid of, due to its adverse effects. Prediction of bankruptcy can help the investors and businesses in formulating their strategies in order to improve their profits or at least avoid losses. Researchers around the world use different types of prediction methods and models. One of the promising and accurate methods for prediction is ANN or Artificial Neural Network. ANN resembles the neural network in our brain. So this study focuses on using the different variables of ROA, ROE to predict the bankruptcy of manufacturing sectors using Artificial Neural Network.

Keywords: Artificial Neural Network, Bankruptcy, Financial crisis

JEL Classification: B26, C45, C53, G01, G33

Suggested Citation

JAISON, ALPHY, A Neural Learning on Indian Manufacturing Sector in Prognosticating Bankruptcy (May 22, 2020). Available at SSRN: https://ssrn.com/abstract=3629367 or http://dx.doi.org/10.2139/ssrn.3629367

ALPHY JAISON (Contact Author)

Christ University ( email )

Bengaluru
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
17
Abstract Views
160
PlumX Metrics