Bankruptcy Prediction for Indian Banking Scenario Using ANN

This book provides a model of bankruptcy prediction conditional on financial ratios being evaluated for banks when they need funds. Credit risk is of great concern for most banks as credit risk is that risk that can easily and most likely prompts banks failure. Adequately managing credit risk in financial institutes is critical for survival and growth of the banking industry. Addressing these concerns for enhanced financial decision making in this analysis Artificial Neural Network (ANN) has been used for prediction and estimation of ratios. The sample size selected is a few major players both in the government and private sector of Indian Banking Industry. The analysis incorporates various ratios and then relates them to examine the explanatory capabilities of the financial ratios to suggest the position of the bank. Construction of the basic ratios into ratio pillars is a vital ingredient of the basic work done prior to deployment of neural network.

Autorentext

Dr. Roli Pradhan is an educator actively involved in creative writing & research. She has authored books Entrepreneur & Entrepreneurship, Scaling Motivation. She has more than 20 international & national journals publications to her credit. She is an active reviewer for many journals. She is currently working as Assistant Professor at MANIT,Bhopal.