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A Case Study of the Impact of Climate Change on Agricultural Loan Credit Risk

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  • Jagdeep Kaur Brar

    (Department of Mathematics & Statistics, University of British Columbia, Okanagan Campus (UBCO), Kelowna, BC V1V 1V7, Canada)

  • Antoine Kornprobst

    (School of Statistics & Actuarial Sciences, University of Western Ontario (UWO), London, ON N6A 3K7, Canada)

  • Willard John Braun

    (Department of Computer Science, Mathematics, Physics and Statistics, University of British Columbia, Okanagan Campus (UBCO), Kelowna, BC V1V 1V7, Canada)

  • Matthew Davison

    (School of Statistics & Actuarial Sciences, University of Western Ontario (UWO), London, ON N6A 3K7, Canada)

  • Warren Hare

    (Department of Mathematics, University of British Columbia, Okanagan Campus (UBCO), Kelowna, BC V1V 1V7, Canada)

Abstract

Changing weather patterns may impose increased risk to the creditworthiness of financial institutions in the agriculture sector. To reduce the credit risk caused by climate change, financial institutions need to update their agricultural lending portfolios to consider climate change scenarios. In this paper we introduce a framework to compute the optimal agricultural lending portfolio under different increased temperature scenarios. In this way we quantify the impact of increased temperature, taken as a measure of climate change, on credit risk. We provide a detailed case study of how our approach applies to the problem of optimizing a portfolio of agricultural loans made to corn farmers across different corn producing regions of Ontario, Canada, under various climate change scenarios. We conclude that the lending portfolio obtained by taking into account the climate change is less risky than the lending portfolio neglecting climate change.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:23:p:3058-:d:690094
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    References listed on IDEAS

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    1. Dietsch, Michel & Petey, Joel, 2002. "The credit risk in SME loans portfolios: Modeling issues, pricing, and capital requirements," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 303-322, March.
    2. Betz, Jennifer & Krüger, Steffen & Kellner, Ralf & Rösch, Daniel, 2020. "Macroeconomic effects and frailties in the resolution of non-performing loans," Journal of Banking & Finance, Elsevier, vol. 112(C).
    3. Ieda, Akira & Marumo, Kohei & Yoshiba, Toshinao, 2000. "A Simplified Method for Calculating the Credit Risk of Lending Portfolios," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 18(2), pages 49-82, December.
    4. Matthews, R. B. & Kropff, M. J. & Horie, T. & Bachelet, D., 1997. "Simulating the impact of climate change on rice production in Asia and evaluating options for adaptation," Agricultural Systems, Elsevier, vol. 54(3), pages 399-425, July.
    5. Antoine Kornprobst & Matt Davison, 2020. "Influence Of Climate Change On The Corn Yield In Ontario And Its Impact On Corn Farms Income At The 2068 Horizon," Papers 2003.01270, arXiv.org, revised May 2020.
    6. Freya von Negenborn & Ron Weber & Oliver Musshoff, 2018. "Explaining weather-related credit risk with evapotranspiration and precipitation indices," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 78(2), pages 246-261, February.
    7. Molua, Ernest L. & Lambi, Cornelius M., 2007. "The economic impact of climate change on agriculture in Cameroon," Policy Research Working Paper Series 4364, The World Bank.
    8. Elena Georgopoulou & Sebastian Mirasgedis & Yannis Sarafidis & Vassiliki Hontou & Nikos Gakis & Dimitri Lalas & Foteini Xenoyianni & Nikos Kakavoulis & Dimitris Dimopoulos & Vrassidas Zavras, 2015. "A methodological framework and tool for assessing the climate change related risks in the banking sector," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 58(5), pages 874-897, May.
    9. 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.
    10. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    11. Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
    12. Rockafellar, R. Tyrrell & Uryasev, Stanislav, 2002. "Conditional value-at-risk for general loss distributions," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1443-1471, July.
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