IDEAS home Printed from https://ideas.repec.org/p/bbh/wpaper/20-09.html

Predicting Financial Crises: Debt versus Debt Service Ratios

Author

Listed:
  • Steve Ambler

    (University of Quebec in Montreal, C.D. Howe Institute)

  • Jeremy Kronick

    (C.D. Howe Institute)

Abstract

Canada is often cited as having worryingly high credit-to-GDP and credit-to-disposable-income ratios, in spite of the fact that the assets and net worth of Canadian households have grown more quickly than their debt. We show that the level of debt servicing is a more reliable indicator of financial vulnerability than the level of debt itself. First, we construct a new financial vulnerabilities barometer and show that measures of debt servicing improve its ability to track periods of financial vulnerability, particularly in advance of recessions. Then, we show that the debt service ratio is a better predictor than the debt ratio of future declines in economic activity and banking crises. New borrowing, while supportive of economic growth in the short run, leads to an increase in debt servicing which contributes to slumps in economic activity.

Suggested Citation

  • Steve Ambler & Jeremy Kronick, 2020. "Predicting Financial Crises: Debt versus Debt Service Ratios," Working Papers 20-09, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
  • Handle: RePEc:bbh:wpaper:20-09
    as

    Download full text from publisher

    File URL: https://chairemacro.esg.uqam.ca/wp-content/uploads/sites/146/debtservice.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mathias Drehmann & Mikael Juselius, 2012. "Do debt service costs affect macroeconomic and financial stability?," BIS Quarterly Review, Bank for International Settlements, September.
    2. Drehmann, Mathias & Juselius, Mikael, 2014. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," International Journal of Forecasting, Elsevier, vol. 30(3), pages 759-780.
    3. Drehmann, Mathias & Juselius, Mikael & Korinek, Anton, 2017. "Accounting for debt service: The painful legacy of credit booms," Bank of Finland Research Discussion Papers 12/2017, Bank of Finland.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anna Burova, 2022. "Measuring the Debt Service Ratio in Russia: A Micro-Level Data Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 81(3), pages 72-88, September.
    2. Nikolay Hristov & Markus Roth, 2019. "Uncertainty Shocks and Financial Crisis Indicators," CESifo Working Paper Series 7839, CESifo.
    3. Bennani, T. & Després, M. & Dujardin, M. & Duprey, T. & Kelber, A., 2014. "Macroprudential framework:key questions applied to the French case," Occasional papers 9, Banque de France.
    4. Antunes, António & Bonfim, Diana & Monteiro, Nuno & Rodrigues, Paulo M.M., 2018. "Forecasting banking crises with dynamic panel probit models," International Journal of Forecasting, Elsevier, vol. 34(2), pages 249-275.
    5. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2019. "Does machine learning help us predict banking crises?," Journal of Financial Stability, Elsevier, vol. 45(C).
    6. Beutel, Johannes & List, Sophia & von Schweinitz, Gregor, 2018. "An evaluation of early warning models for systemic banking crises: Does machine learning improve predictions?," Discussion Papers 48/2018, Deutsche Bundesbank.
    7. 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.
    8. Jieun Lee & Ilhyock Shim, 2026. "Lending to vulnerable households and consumption: evidence from Korea," BIS Working Papers 1331, Bank for International Settlements.
    9. Tihana Skrinjaric, 2023. "Leading indicators of financial stress in Croatia: a regime switching approach," Public Sector Economics, Institute of Public Finance, vol. 47(2), pages 205-232.
    10. Soyoung Kim & Aaron Mehrotra, 2015. "Managing price and financial stability objectives - what can we learn from the Asia-Pacific region?," BIS Working Papers 533, Bank for International Settlements.
    11. 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.
    12. Alessi, Lucia & Detken, Carsten, 2018. "Identifying excessive credit growth and leverage," Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
    13. Elena Deryugina & Alexey Ponomarenko, 2019. "Determination of the Current Phase of the Credit Cycle in Emerging Markets," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 28-42, June.
    14. Yusuf Yıldırım & Anirban Sanyal, 2022. "Evaluating the Effectiveness of Early Warning Indicators: An Application of Receiver Operating Characteristic Curve Approach to Panel Data," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(4), pages 557-597, December.
    15. Virginie Coudert & Julien Idier, 2016. "An Early Warning System for Macro-prudential Policy in France," Working papers 609, Banque de France.
    16. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    17. Cengiz Tunc & Mustafa Kilinc, 2023. "Household Debt and Economic Growth: Debt Service Matters," Open Economies Review, Springer, vol. 34(1), pages 71-92, February.
    18. Anna Burova & Denis Koshelev & Natalia Makhankova, 2022. "Debt Service: Evidence Based on Consolidated Statements of Russian Companies," Bank of Russia Working Paper Series wps103, Bank of Russia.
    19. Sarlin, Peter & Ramsay, Bruce A., 2014. "Ending over-lending : Assessing systemic risk with debt to cash flow," Research Discussion Papers 11/2014, Bank of Finland.
    20. Sarlin, Peter & Ramsay, Bruce A., 2015. "Ending over-lending: assessing systemic risk with debt to cash flow," Working Paper Series 1769, European Central Bank.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bbh:wpaper:20-09. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dalibor Stevanovic and Alain Guay (email available below). General contact details of provider: https://edirc.repec.org/data/cmuqmca.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.