Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/14566
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dc.contributor.authorB. Charumathi-
dc.contributor.authorSuraj. E.S-
dc.date.accessioned2024-03-02T06:28:10Z-
dc.date.available2024-03-02T06:28:10Z-
dc.date.issued2015-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/14566-
dc.description.abstractThis study performs and compares the accuracy of Price to Book value model and Refined Price to book value model using Artificial Neural Network (ANN) fo r valuing bank stocks. Prediction accuracy measuring procedures are used to compare the performance of these models. This study also focused on comparing the predictive power o f Price to book value Model and Refined Price to book value M odel (using ANN) using coefficient of determination. The outcomes of predictions are discussed to know the power o f Artificial Neural Network.-
dc.publisherJournal of Accounting and Finance-
dc.subjectPrice-
dc.subjectBook Value Model-
dc.subjectPrediction Accuracy-
dc.subjectArtificial Neural Network-
dc.subjectIndian Banks-
dc.titleRefinins Price to Book Value Model for Valuins Indian Bank Stocks - An Artificial Neural Network Approach-
dc.volVol. 29-
dc.issuedNo. 2-
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