IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/5357.html
   My bibliography  Save this paper

Credit Risk Models for Managing Bank’s Agricultural Loan Portfolio

Author

Listed:
  • Bandyopadhyay, Arindam

Abstract

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.

Suggested Citation

  • Bandyopadhyay, Arindam, 2007. "Credit Risk Models for Managing Bank’s Agricultural Loan Portfolio," MPRA Paper 5357, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:5357
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/5357/1/MPRA_paper_5357.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bliss, Robert, 2002. "Comments on "Credit ratings and the BIS capital adequacy reform agenda"," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 923-928, May.
    2. Ani L. Katchova & Peter J. Barry, 2005. "Credit Risk Models and Agricultural Lending," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 194-205.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kavčáková, Michaela & Kočišová, Kristína, 2020. "Using Data Envelopment Analysis in Credit Risk Evaluation of ICT Companies," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(3), December.
    2. K.K. Jain & P.K. Gupta & Sanjiv Mittal, 2011. "Logistic Predictive Model for SMEs Financing in India," Vision, , vol. 15(4), pages 331-346, December.
    3. Kassouri, Yacouba & Kacou, Kacou Yves Thierry, 2022. "Does the structure of credit markets affect agricultural development in West African countries?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 588-601.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Odeh, Oluwarotimi O. & Featherstone, Allen M. & Sanjoy, Das, 2006. "Predicting Credit Default in an Agricultural Bank: Methods and Issues," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35359, Southern Agricultural Economics Association.
    2. Amelie Jouault & Allen M. Featherstone, 2011. "Determining the Probability of Default of Agricultural Loans in a French Bank," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 1(1), pages 1-1.
    3. Geoffroy Enjolras & Philippe Madiès, 2019. "The determinants of loan acceptance: a case study of French farms," Economics Bulletin, AccessEcon, vol. 39(1), pages 358-371.
    4. Harris, James Michael & Blank, Steven C. & Erickson, Kenneth W. & Hallahan, Charles B., 2010. "Off-farm Income and Investments in Farm Assets: A Double Hurdle Approach," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61531, Agricultural and Applied Economics Association.
    5. Anders Grosen & Pernille Jessen & Thomas Kokholm, 2014. "An asset protection scheme for banks exposed to troubled loan portfolios," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(4), pages 568-588, October.
    6. Johannes I. F. Henning & Dominique A. Bougard & Henry Jordaan & Nicolette Matthews, 2019. "Factors Affecting Successful Agricultural Loan Applications: The Case of a South African Credit Provider," Agriculture, MDPI, vol. 9(11), pages 1-15, November.
    7. Chitralada Chaiya & Sikandar Sikandar & Pichate Pinthong & Shahab E. Saqib & Niaz Ali, 2023. "The Impact of Formal Agricultural Credit on Farm Productivity and Its Utilization in Khyber Pakhtunkhwa, Pakistan," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    8. Benjamin Collier & Ani L. Katchova & Jerry R. Skees, 2011. "Loan portfolio performance and El Niño, an intervention analysis," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(1), pages 98-119, May.
    9. Katchova, Ani L. & Nam, Sangjeong, 2005. "Credit Risk Migration Analysis Focused on Farm Business Characteristics and Business Cycles," 2005 Annual meeting, July 24-27, Providence, RI 19451, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Benjamin, Olatunbosun, 2012. "Improving credit allocation to sustainable agriculture in Sub-Saharan Africa: Review of bio-based economy benefits," MPRA Paper 41313, University Library of Munich, Germany.
    11. Dressler, Jonathan B. & Stokes, Jeffrey R., 2006. "Mortgage Termination at AgChoice Farm Credit," 2006 Agricultural and Rural Finance Markets in Transition, October 2-3, 2006, Washington, DC 133077, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    12. Francisco Ascui & Theodor F. Cojoianu, 2019. "Implementing natural capital credit risk assessment in agricultural lending," Business Strategy and the Environment, Wiley Blackwell, vol. 28(6), pages 1234-1249, September.
    13. Frederick Murdoch Quaye & Denis Nadolnyak & Valentina Hartarska, 2017. "Factors Affecting Farm Loan Delinquency in the Southeast," Research in Applied Economics, Macrothink Institute, vol. 9(4), pages 75-92, December.
    14. Jagdeep Kaur Brar & Antoine Kornprobst & Willard John Braun & Matthew Davison & Warren Hare, 2021. "A Case Study of the Impact of Climate Change on Agricultural Loan Credit Risk," Mathematics, MDPI, vol. 9(23), pages 1-23, November.
    15. Quaye, Frederick & Hartarska, Valentina & Nadolnyak, Denis, 2015. "Farmer Credit Delinquency in Southeastern US: Factors and Behavior Prediction," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196914, Southern Agricultural Economics Association.
    16. Durguner, Seda & Barry, Peter J. & Katchova, Ani L., 2006. "Credit Scoring Models: A Comparison between Crop and Livestock Farms," 2006 Annual meeting, July 23-26, Long Beach, CA 21431, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Zhang, Tianwei & Ellinger, Paul N., 2006. "Credit Risk and Financial Performance Assessment of Illinois Farmers: A Comparison of Approaches with Farm Accounting Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21384, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Glenn D. Pederson & Lyubov Zech, 2009. "Assessing Credit Risk in an Agricultural Loan Portfolio," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(2), pages 169-185, June.
    19. Pederson, Glenn D. & Chu, Yu-Szu & Richardson, D. Wynn, 2011. "Community Bank Assessment of Agricultural Portfolio Risk Exposure: The Literature and the Methods in Use," Staff Papers 107483, University of Minnesota, Department of Applied Economics.

    More about this item

    Keywords

    Credit Risk Modelling; Lending; Agriculture;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:5357. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.