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Accounting for debt service: the painful legacy of credit booms

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  • Mathias Drehmann
  • Mikael Juselius
  • Anton Korinek

Abstract

When taking on new debt, borrowers commit to a pre-specified path of future debt service. This implies a predictable lag between credit booms and peaks in debt service which, in a panel of household debt in 17 countries, is four years on average. The lag is driven by two key features of the data: (i) new borrowing is strongly auto-correlated and (ii) debt contracts are long term. The delayed increase in debt service following an impulse to new borrowing largely explains why credit booms are associated with lower future output growth and higher probability of crisis. This provides a systematic transmission channel whereby credit expansions can have long-lasting adverse real effects.

Suggested Citation

  • Mathias Drehmann & Mikael Juselius & Anton Korinek, 2017. "Accounting for debt service: the painful legacy of credit booms," BIS Working Papers 645, Bank for International Settlements.
    • Handle: RePEc:bis:biswps:645
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    3. Michael Funke & Rongrong Sun & Linxu Zhu, 2022. "The credit risk of Chinese households: A micro‐level assessment," Pacific Economic Review, Wiley Blackwell, vol. 27(3), pages 254-276, August.
    4. Atif Mian & Amir Sufi, 2018. "Finance and Business Cycles: The Credit-Driven Household Demand Channel," Journal of Economic Perspectives, American Economic Association, vol. 32(3), pages 31-58, Summer.
    5. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95, October –.
    6. Claudio Borio & Piti Disyatat & Mikael Juselius & Phurichai Rungcharoenkitkul, 2019. "Monetary Policy in the Grip of a Pincer Movement," Central Banking, Analysis, and Economic Policies Book Series, in: Álvaro Aguirre & Markus Brunnermeier & Diego Saravia (ed.),Monetary Policy and Financial Stability: Transmission Mechanisms and Policy Implications, edition 1, volume 26, chapter 10, pages 311-356, Central Bank of Chile.
    7. Phurichai Rungcharoenkitkul & Claudio Borio & Piti Disyatat Author-X-Name_First: Piti, 2019. "Monetary policy hysteresis and the financial cycle," BIS Working Papers 817, Bank for International Settlements.
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    9. Claudio Borio, 2021. "Back to the Future: Intellectual Challenges for Monetary Policy," Economic Papers, The Economic Society of Australia, vol. 40(4), pages 273-287, December.
    10. Joseph E Stiglitz, 2018. "Where modern macroeconomics went wrong," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(1-2), pages 70-106.
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    13. Bezemer, Dirk & Zhang, Lu, 2019. "Credit composition and the severity of post-crisis recessions," Journal of Financial Stability, Elsevier, vol. 42(C), pages 52-66.
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    16. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).

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    More about this item

    Keywords

    new borrowing; debt service; financial cycle; real-financial linkages;
    All these keywords.

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance

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