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Credit rating and microfinance lending decisions based on loss given default (LGD)

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  • Shi, Baofeng
  • Zhao, Xue
  • Wu, Bi
  • Dong, Yizhe

Abstract

This paper proposes a credit rating model that considers the impact of key macroeconomic variables on commercial banks' credit decisions and loss given default (LGD). The findings provide additional insight into the phenomena that under some circumstances a higher credit rating may lead to a higher LGD. The empirical analysis is based on actual bank data from 2,044 farmers in China. The theoretical analysis and empirical verification provides key insights into regulatory and commercial bank credit policy in a developing country setting, while helping to alleviate financing problems of small and micro credit entities.

Suggested Citation

  • Shi, Baofeng & Zhao, Xue & Wu, Bi & Dong, Yizhe, 2019. "Credit rating and microfinance lending decisions based on loss given default (LGD)," Finance Research Letters, Elsevier, vol. 30(C), pages 124-129.
    • Handle: RePEc:eee:finlet:v:30:y:2019:i:c:p:124-129
    DOI: 10.1016/j.frl.2019.03.033
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Chai, Nana & Shi, Baofeng & Hua, Yiting, 2023. "Loss given default or default status: Which is better to determine farmers’ credit ratings?," Finance Research Letters, Elsevier, vol. 53(C).
    2. Li, Yanru & Wang, Haijun & Gao, Huikun & Li, Qinghai & Sun, Guanglin, 2024. "Credit rating, repayment willingness and farmer credit default," International Review of Financial Analysis, Elsevier, vol. 93(C).
    3. Shi, Baofeng & Chi, Guotai & Li, Weiping, 2020. "Exploring the mismatch between credit ratings and loss-given-default: A credit risk approach," Economic Modelling, Elsevier, vol. 85(C), pages 420-428.
    4. Christian Kurniawan & Xiyu Deng & Adhiraj Chakraborty & Assane Gueye & Niangjun Chen & Yorie Nakahira, 2022. "A Learning and Control Perspective for Microfinance," Papers 2207.12631, arXiv.org, revised Dec 2022.
    5. Pranith Kumar Roy & Krishnendu Shaw, 2021. "A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    6. Jiangming Ma & Di Gao, 2023. "The Impact of Sustainable Supply-Chain Partnership on Bank Loans: Evidence from Chinese-Listed Firms," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    7. Maria Patricia Durango‐Gutiérrez & Juan Lara‐Rubio & Andrés Navarro‐Galera, 2023. "Analysis of default risk in microfinance institutions under the Basel III framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1261-1278, April.

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    More about this item

    Keywords

    China; Credit rating; Lending decision; Credit risk; Loss given default (LGD);
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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