000			01343nam a22001697a 4500
003			OSt
005			20151215203427.0
008			151215b xxu||||| |||| 00| 0 eng d
100			_aCHARUMATHI, B: SURAJ, E.S. _920142
245			_aREFINING PRICE TO BOOK VALUE MODEL FOR VALUING INDIAN BANK STOCK - AN ARTIFICIAL NEURAL NETWORK APPROACH _cCHARUMATHI, B
260			_aJAIPUR _bDR. PRAVEEN JAIN - RESEARCH DEVELOPMENT ASSOCIATION _cSEPTEMBER 2015
300			_a15-25
500			_aTHIS 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.
650			_aPRICE, BOOK VALUE MODEL, PREDICTION ACCURACY, ARTIFICIAL NEURAL NETWORK, INDIAN BANKS. _920143
942			_2ddc _cJA-ARTICLE
773	0		_029506 _955702 _a _b _d _o5555125 _tJOURNAL OF ACCOUNTING AND FINANCE _w _x _z
999			_c40905 _d40905