• ISSN: 2010-023X (Print)
    • Abbreviated Title: Int. J. Trade, Economics and Financ.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJTEF
    • Editor-in-Chief: Prof.Tung-Zong (Donald) Chang
    • Executive Editor: Ms. Cherry L. Chen
    • Abstracting/ Indexing:  ProQuest, Crossref, Electronic Journals Library , EBSCO, and Ulrich's Periodicals Directory
    • E-mail: ijtef@ejournal.net
IJTEF 2014 Vol.5(6): 516-520 ISSN: 2010-023X
DOI: 10.7763/IJTEF.2014.V5.425

Z Score Estimation for Indian Banking Sector

Roli Pradhan
Abstract—From traditional times the Z score values have been constantly used for prediction of Bankruptcy. This has been vital to both the lenders and investors whose returns are based on solvency estimates. The terms of credit have gone a U turn from the traditional times to the modern scenario today. The basic concern of prediction is to evaluate the terms of credit and ensure repayment safely. Z score has been used as a tool to evaluate the credibility of the firms. This paper provides the Z score value for the public sector banks. This value is useful when these banks demand loans from the RBI or any other funding agency. The usage of back propagation neural network is to forecast the internal parameters of Z score and then use these internal parameters to forecast the Z score value up to 2020. Thus the paper emphasizes the usage of BPNN for prediction of bankruptcy for public sector banks in India. 

Index Terms—Bankruptcy, internal parameters of Z score Prediction, Z score value.

Roli Pradhan is with the Department of Management, NITTTR, Bhopal (e-mail: pradhanroli@gmail.com.)


Cite: Z Score Estimation for Indian Banking Sector, "Roli Pradhan," International Journal of Trade, Economics and Finance vol.5, no.6, pp. 516-520, 2014.

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