TY  - BOOK
AU  - CHARUMATHI, B: SURAJ, E.S.
TI  - REFINING PRICE TO BOOK VALUE MODEL FOR VALUING INDIAN BANK STOCK - AN ARTIFICIAL NEURAL NETWORK APPROACH
PY  - 2015///
CY  - JAIPUR
PB  - DR. PRAVEEN JAIN - RESEARCH DEVELOPMENT ASSOCIATION
KW  - PRICE, BOOK VALUE MODEL, PREDICTION ACCURACY,  ARTIFICIAL NEURAL NETWORK, INDIAN BANKS
N1  - THIS STUDY PERFORMS AND COMPARES THE ACCURACY OF PRICE TO BOOK VALUE MODEL AND REFINED PRICE TO BOOK VALUE MODEL USING ARTIFICIAL NEURAL NETWORK (ANN) FOR VALUING BANK STOCKS.  PREDICTION ACCURACY MEASURING PROCEDURES ARE USED TO COMPARE THE PERFORMANCE OF THESE MODEL.  THIS STUDY ALSO FOCUSED ON COMPARING THE PREDICTIVE POWER OF PRICE TO BOOK VALUE MODEL & REFINED PRICE TO BOOK VALUE MODEL (USING ANN) USING COEFFICIENT OF DETERMINATION.  THE RESULTS OF EMPIRICAL ANALYSIS SUPPORT THAT REFINED PRICE TO BOOK VALUE MODEL USING ANN CAN BE USED AS A VALUATION TOOL TO PROVIDE BETTER AND MORE ACCURATE ESTIMATION OF EQUITY STOCK PRICES OF BANKS
ER  -