In this paper, we have developed a credit scoring model for agricultural loan portfolio of a large Public Sector Bank in India and suggest how such model would help the Bank to mitigate risk in Agricultural lending. The logistic model developed in this study reflects major risk characteristics of Indian agricultural sector, loans and borrowers and designed to be consistent with Basel II, including consideration given to forecasting accuracy and model applicability. In this study, we have shown how agricultural exposures are typically can be managed on a portfolio basis which will not only enable the bank to diversify the risk and optimize the profit in the business, but also will strengthen banker-borrower relationship and enables the bank to expand its reach to farmers because of transparency in loan decision making process.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
5357.
Find related papers by JEL classification: G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance
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