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An empirical study of bank stress testing for auto loans

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  • Wu, Deming
  • Fang, Ming
  • Wang, Qing

Abstract

We present an empirical study of stress testing for portfolios of auto loans. We find that loans aged five years or more have significantly higher default probabilities. This finding raises concerns about the increasing maturity of auto loans in recent years. A challenge in stress testing is the instability of the estimated coefficient of macroeconomic variables, which raises questions on the reliability of stress test results. For this reason, it is important for model developers to perform sensitivity analyses and make conservative adjustment to minimize model risk.

Suggested Citation

  • Wu, Deming & Fang, Ming & Wang, Qing, 2018. "An empirical study of bank stress testing for auto loans," Journal of Financial Stability, Elsevier, vol. 39(C), pages 79-89.
    • Handle: RePEc:eee:finsta:v:39:y:2018:i:c:p:79-89
    DOI: 10.1016/j.jfs.2018.09.005
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    References listed on IDEAS

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    Cited by:

    1. Małgorzata Iwanicz-Drozdowska & Krzysztof Jackowicz & Maciej Karczmarczyk, 2021. "“The Crooked Smile of TCR†: Banks’ Solvency and Restructuring Costs in the European Banking Industry," SAGE Open, , vol. 11(3), pages 21582440211, September.
    2. Fazlollah Soleymani & Houman Masnavi & Stanford Shateyi, 2020. "Classifying a Lending Portfolio of Loans with Dynamic Updates via a Machine Learning Technique," Mathematics, MDPI, vol. 9(1), pages 1-15, December.

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    More about this item

    Keywords

    Auto loan defaults; Stress testing; Model instability; Loan age; Macroeconomic variables; Used car prices;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies

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