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An empirical study on credit card loan delinquency

Author

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  • Kim, Hyeongjun
  • Cho, Hoon
  • Ryu, Doojin

Abstract

Following the Basel II convention, consumer credit default is commonly defined as delinquency beyond a period of 90 days. In this study, rather than considering default as a binary variable, we dissect delinquency states further to investigate default behavior in greater detail. As such, we define three states—no delinquency, delinquency and serious delinquency—and estimate the probabilities of the transitions between states using extensive panel data from Korea, covering a wide range of behavioral information. Our findings have several economic implications. First, the factors that affect delinquency risk can differ from those that affect the transition from delinquency to serious delinquency. Second, the recent increase in the number of seriously delinquent accounts can be attributed to changes in the borrower age distribution. Third, macroeconomic conditions, especially differences in gross domestic product and consumption growth, have led to the recent increase in delinquent accounts. Fourth, the debt-to-income (DTI) ratio has a profound effect on transitions between delinquency states and thus affects both recovery and delinquency. Furthermore, this result is robust to controls for demographic and macroeconomic factors.

Suggested Citation

  • Kim, Hyeongjun & Cho, Hoon & Ryu, Doojin, 2018. "An empirical study on credit card loan delinquency," Economic Systems, Elsevier, vol. 42(3), pages 437-449.
  • Handle: RePEc:eee:ecosys:v:42:y:2018:i:3:p:437-449
    DOI: 10.1016/j.ecosys.2017.11.003
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    References listed on IDEAS

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    Cited by:

    1. Song Joonhyuk & Ryu Doojin, 2021. "Houses as Collateral and Household Debt Deleveraging in Korea," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 3-27, January.
    2. Vasilios Giannopoulos & Eleftherios Aggelopoulos, 2019. "Predicting SME loan delinquencies during recession using accounting data and SME characteristics: The case of Greece," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 26(2), pages 71-82, April.
    3. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2022. "Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1231-1249, March.

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    More about this item

    Keywords

    Account-level dataset; Credit card loan; Delinquency risk; Emerging market; Multinomial logit;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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