Credit Risk Models for Managing Bank’s Agricultural Loan Portfolio
نویسنده
چکیده
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 bankerborrower relationship and enables the bank to expand its reach to farmers because of transparency in loan decision making process. * Address correspondence to Arindam Bandyopadhyay, Assistant Professor (Finance Area), Room No. 3203, National Institute of Bank Management (NIBM), Kondhwe Khurd, Pune 411048, India. Tel. 00-91-20-26716451. Email: [email protected]. The author would like to thank Dr. Asish Saha (Director, NIBM), Dr. K Ramesha, Dr. A U Gadewar for extremely helpful comments and suggestions. The author is also thankful to Mr. N Narasa Reddy for all his help.
منابع مشابه
The Current Models of Credit Portfolio Management: A Comparative Theoretical Analysis
The present paper aimed at studying the current models of credit portfolio management. There are currently three types of models which consider the risk of credit portfolio: the structural models (Moody's KMV model, and Credit- Metrics model), the intensity models (the actuarial models) and the econometric models (the Macro-factors model). The development of these three types of models is based...
متن کاملMunich Personal RePEc Archive Credit Risk Models for Managing Bank ’ s Agricultural
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, includ...
متن کاملInvestigating the missing data effect on credit scoring rule based models: The case of an Iranian bank
Credit risk management is a process in which banks estimate probability of default (PD) for each loan applicant. Data sets of previous loan applicants are built by gathering their data, and these internal data sets are usually completed using external credit bureau’s data and finally used for estimating PD in banks. There is also a continuous interest for bank to use rule based classifiers to b...
متن کاملCredit derivatives in banking: Useful tools for managing risk?
We model the effects on banks of the introduction of a market for credit derivatives; in particular, credit-default swaps. A bank can use such swaps to temporarily transfer credit risks of their loans to others, reducing the likelihood that defaulting loans trigger the bank’s financial distress. Because credit derivatives are more flexible at transferring risks than are other, more established ...
متن کاملImpact of Basel II Capital Accord on Small and Medium Size Enterprises (SME): An Empirical Study on a Group of Export Oriented SMEs
The purpose of this study is to find the relationship between lending to Small and Medium-size Exporter Enterprises (E-SMEs) and the use of Basel II Capital Accord for the first time in the banking system of Iran. Results showed that 96.69 percent of small firms were in the very low risk category of credit portfolio. This proof explains a consistent and balanced relationship between risk- weigh...
متن کامل