IDEAS home Printed from https://ideas.repec.org/p/bis/biswps/511.html
   My bibliography  Save this paper

Higher bank capital requirements and mortgage pricing: evidence from the Countercyclical Capital Buffer (CCB)

Author

Listed:
  • Christoph Basten
  • Catherine Koch

Abstract

How has the CCB affected mortgage pricing after Switzerland became the first country to activate this Basel III macroprudential tool? By analyzing a database with several offers per mortgage request, we construct a picture of mortgage supply and demand. We find, first, that the CCB changes the composition of mortgage supply, as relatively capital-constrained and mortgage-specialized banks raise prices more than their competitors do. Second, risk-weighting schemes linked to borrower risk do not amplify the CCB's effect. To conclude, changes in the supply composition suggest that the CCB has achieved its intended effect in shifting mortgages from less resilient to more resilient banks, but stricter capital requirements do not appear to have discouraged less resilient banks from risky mortgage lending.

Suggested Citation

  • Christoph Basten & Catherine Koch, 2015. "Higher bank capital requirements and mortgage pricing: evidence from the Countercyclical Capital Buffer (CCB)," BIS Working Papers 511, Bank for International Settlements.
    • Handle: RePEc:bis:biswps:511
    as

    Download full text from publisher

    File URL: http://www.bis.org/publ/work511.pdf
    File Function: Full PDF document
    Download Restriction: no
    File URL: http://www.bis.org/publ/work511.htm
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The unreliability of credit-to-GDP ratio gaps in real-time: Implications for countercyclical capital buffers," Finance and Economics Discussion Series 2011-37, Board of Governors of the Federal Reserve System (U.S.).
    2. Rafael Repullo & Jesús Saurina, 2011. "The Countercyclical Capital Buffer of Basel III: A Critical Assessment," Working Papers wp2011_1102, CEMFI, revised Jun 2011.
    3. Joon-Ho Hahm & Hyun Song Shin & Kwanho Shin, 2013. "Noncore Bank Liabilities and Financial Vulnerability," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45, pages 3-36, August.
    4. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2011. "Anchoring Countercyclical Capital Buffers: The role of Credit Aggregates," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 189-240, December.
    5. Martin Brown & Benjamin Suman Guin, 2015. "The Exposure of Mortgage Borrowers to Interest Rate Risk and House Price Risk – Evidence from Swiss Loan Application Data," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 151(II), pages 3-37, June.
    6. Rochelle M. Edge & Ralf R. Meisenzahl, 2011. "The Unreliability of Credit-to-GDP Ratio Gaps in Real Time: Implications for Countercyclical Capital Buffers," International Journal of Central Banking, International Journal of Central Banking, vol. 7(4), pages 261-298, December.
    7. Christoph Basten & Cathérine Koch, 2014. "The causal effect of house prices on mortgage demand and mortgage supply," ECON - Working Papers 140, Department of Economics - University of Zurich.
    8. International Monetary Fund, 2014. "Switzerland: Financial Sector Stability Assessment," IMF Staff Country Reports 2014/143, International Monetary Fund.
    9. Mathias Drehmann & Claudio Borio & Leonardo Gambacorta & Gabriel Jiminez & Carlos Trucharte, 2010. "Countercyclical capital buffers: exploring options," BIS Working Papers 317, Bank for International Settlements.
    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. Christoph Basten, 2020. "Higher Bank Capital Requirements and Mortgage Pricing: Evidence from the Counter-Cyclical Capital Buffer," Review of Finance, European Finance Association, vol. 24(2), pages 453-495.
    2. Ebrahimi Kahou, Mahdi & Lehar, Alfred, 2017. "Macroprudential policy: A review," Journal of Financial Stability, Elsevier, vol. 29(C), pages 92-105.
    3. Mathias Drehmann & James Yetman, 2021. "Which Credit Gap Is Better at Predicting Financial Crises? A Comparison of Univariate Filters," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
    4. G. Farrell, 2016. "Countercyclical Capital Buffers and Real-Time Credit-To-GDP Gap Estimates: A South African Perspective," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 40(1), pages 1-20, April.
    5. Li, Boyao, 2017. "The impact of the Basel III liquidity coverage ratio on macroeconomic stability: An agent-based approach," Economics Discussion Papers 2017-2, Kiel Institute for the World Economy (IfW Kiel).
    6. Alessi, Lucia & Detken, Carsten, 2018. "Identifying excessive credit growth and leverage," Journal of Financial Stability, Elsevier, vol. 35(C), pages 215-225.
    7. Capponi, Agostino & Dooley, John M. & Oet, Mikhail V. & Ong, Stephen J., 2017. "Capital and resolution policies: The US interbank market," Journal of Financial Stability, Elsevier, vol. 30(C), pages 229-239.
    8. Thibaut Duprey & Timothy Grieder & Dylan Hogg, 2017. "Recent Evolution of Canada’s Credit-to-GDP Gap: Measurement and Interpretation," Staff Analytical Notes 17-25, Bank of Canada.
    9. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.
    10. Oriol Carreras & E Philip Davis & Ian Hurst & Iana Liadze & Rebecca Piggott & James Warren, 2018. "Implementing Macroprudential Policy in NiGEM," National Institute of Economic and Social Research (NIESR) Discussion Papers 490, National Institute of Economic and Social Research.
    11. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    12. Leroi RAPUTSOANE, 2015. "Alternative Measures of Credit Extension for Countercyclical Buffer Decisions in South Africa," Turkish Economic Review, KSP Journals, vol. 2(4), pages 210-221, December.
    13. Detken, Carsten & Peltonen, Tuomas A. & Schudel, Willem & Behn, Markus, 2013. "Setting countercyclical capital buffers based on early warning models: would it work?," Working Paper Series 1604, European Central Bank.
    14. Torsten Wezel, 2019. "Conceptual Issues in Calibrating the Basel III Countercyclical Capital Buffer," IMF Working Papers 2019/086, International Monetary Fund.
    15. Jorge E. Galán & Javier Mencía, 2021. "Model-based indicators for the identification of cyclical systemic risk," Empirical Economics, Springer, vol. 61(6), pages 3179-3211, December.
    16. 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.
    17. Schudel, Willem, 2015. "Shifting horizons: assessing macro trends before, during, and following systemic banking crises," Working Paper Series 1766, European Central Bank.
    18. Jon Danielsson & Marcela Valenzuela & Ilknur Zer, 2018. "Learning from History: Volatility and Financial Crises," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2774-2805.
    19. Tihana Skrinjaric & Maja Bukovsak, 2022. "Improving The Calibration Of Countercyclical Capital Buffer: New Indicators Of Credit Gap In Croatia," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 31(2), pages 541-568, december.
    20. 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.

    More about this item

    Keywords

    banks; macroprudential policy; capital requirements; mortgage pricing;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bis:biswps:511. 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: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.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.