Forecasting Financial Ratios for Credit Lending in Banks using Artificial Neural Networks: A Case-study of HDFC Bank

Pradhan Roli ()
Additional contact information
Pradhan Roli: Department of Management Studies, Maulana Azad National Institute of Technology, Bhopal (M.P.), INDIA

Advances In Management, 2012, vol. 5, issue 1

Abstract: In times of economic and financial stresses, the need for effective failure prediction model to act as an early warning system for the corporate has always been looked upon. It first estimates the financial ratio for a firm from 2001-2008 to the train the BPNN and uses the estimates of the year 2009 and 2010 values in the validation process. Finally it dwells to draw predictions for the period 2011-2015 and emphasizes the growing role of BPNN application based prediction models for banking sector with a case study of HDFC bank. We conclude that integrating BNPP models can be used as a communication tool between credit risk analyst and policy makers and serve in credit risk policy decision context.

Date: 2012
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://www.managein.net/bk_issue/abst_5_1.htm (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:mgn:journl:v:5:y:2012:i:1:a:6

Access Statistics for this article

More articles in Advances In Management from Advances in Management
Series data maintained by Shankar Gargh ().