IDEAS home Printed from https://ideas.repec.org/p/cnb/wpaper/2022-3.html
   My bibliography  Save this paper

Cooling the Mortgage Loan Market: The Effect of Recommended Borrower-Based Limits on New Mortgage Lending

Author

Listed:
  • Martin Hodula
  • Milan Szabo
  • Lukas Pfeifer
  • Martin Melecky

Abstract

This paper studies the effects of regulatory recommendations concerning maximum (i) loan-to-value (LTV), (ii) debt-to-income (DTI) and (iii) debt service-to-income ratios (DSTI) on new loans secured by residential property. It uses loan-level regulatory survey data on about 82,000 newly granted residential mortgage loans in the Czech Republic from 2016 to 2019 to estimate the average effects of the Czech National Bank's regulatory recommendations and their heterogeneous effects depending on borrower, loan, bank and regional characteristics. The studied response variables include the mortgage loan size and lending rate and the value of the property with which loans are secured. The machine learning method of causal forests is employed to estimate the effects of interest and to identify any heterogeneity and its likely drivers. We highlight two important facts: (i) value-based (LTV) and income-based (DTI and DSTI) limits have different impacts on the mortgage market and (ii) borrower, loan, bank and regional characteristics play an important role in the transmission of the recommended limits.

Suggested Citation

  • Martin Hodula & Milan Szabo & Lukas Pfeifer & Martin Melecky, 2022. "Cooling the Mortgage Loan Market: The Effect of Recommended Borrower-Based Limits on New Mortgage Lending," Working Papers 2022/3, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2022/3
    as

    Download full text from publisher

    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2022_03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Akinci, Ozge & Olmstead-Rumsey, Jane, 2018. "How effective are macroprudential policies? An empirical investigation," Journal of Financial Intermediation, Elsevier, vol. 33(C), pages 33-57.
    2. Kuttner, Kenneth N. & Shim, Ilhyock, 2016. "Can non-interest rate policies stabilize housing markets? Evidence from a panel of 57 economies," Journal of Financial Stability, Elsevier, vol. 26(C), pages 31-44.
    3. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    4. Giovanni Favara & Jean Imbs, 2015. "Credit Supply and the Price of Housing," American Economic Review, American Economic Association, vol. 105(3), pages 958-992, March.
    5. Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018. "Double/debiased machine learning for treatment and structural parameters," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
    6. Morgan, Peter & Regis, Paulo Jose & Salike, Nimesh, 2015. "Loan-to-Value Policy as a Macroprudential Tool: The Case of Residential Mortgage Loans in Asia," ADBI Working Papers 528, Asian Development Bank Institute.
    7. D. R. Cox, 1992. "Causality: Some Statistical Aspects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 155(2), pages 291-301, March.
    8. Alejandro Justiniano & Giorgio E. Primiceri & Andrea Tambalotti, 2019. "Credit Supply and the Housing Boom," Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1317-1350.
    9. Susan Athey & Julie Tibshirani & Stefan Wager, 2016. "Generalized Random Forests," Papers 1610.01271, arXiv.org, revised Apr 2018.
    10. Fidrmuc, Jarko & Lind, Ronja, 2020. "Macroeconomic impact of Basel III: Evidence from a meta-analysis," Journal of Banking & Finance, Elsevier, vol. 112(C).
    11. Atif Mian & Amir Sufi & Emil Verner, 2017. "Household Debt and Business Cycles Worldwide," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1755-1817.
    12. Claessens, Stijn & Ghosh, Swati R. & Mihet, Roxana, 2013. "Macro-prudential policies to mitigate financial system vulnerabilities," Journal of International Money and Finance, Elsevier, vol. 39(C), pages 153-185.
    13. Granziera, Eleonora & Kozicki, Sharon, 2015. "House price dynamics: Fundamentals and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 152-165.
    14. Fendoğlu, Salih, 2017. "Credit cycles and capital flows: Effectiveness of the macroprudential policy framework in emerging market economies," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 110-128.
    15. Zohair Alam & Mr. Adrian Alter & Jesse Eiseman & Mr. Gaston Gelos & Mr. Heedon Kang & Mr. Machiko Narita & Erlend Nier & Naixi Wang, 2019. "Digging Deeper--Evidence on the Effects of Macroprudential Policies from a New Database," IMF Working Papers 2019/066, International Monetary Fund.
    16. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    17. Favara, Giovanni & Song, Zheng, 2014. "House price dynamics with dispersed information," Journal of Economic Theory, Elsevier, vol. 149(C), pages 350-382.
    18. Cerutti, Eugenio & Claessens, Stijn & Laeven, Luc, 2017. "The use and effectiveness of macroprudential policies: New evidence," Journal of Financial Stability, Elsevier, vol. 28(C), pages 203-224.
    19. repec:hal:pseose:hal-01301589 is not listed on IDEAS
    20. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    21. Hana Hejlová & Libor Holub & Miroslav Plašil, . "Calibration of Borrower-based Macroprudential Measures for Mortgage Exposures: Rigorous Approach and Its Application to the Czech Republic," Prague Economic Papers, Prague University of Economics and Business, vol. 0.
    22. Hana Hejlová & Libor Holub & Miroslav Plašil, 2021. "Calibration of Borrower-based Macroprudential Measures for Mortgage Exposures: Rigorous Approach and Its Application to the Czech Republic," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(3), pages 316-335.
    23. Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
    24. Engsted, Tom & Pedersen, Thomas Q., 2015. "Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 257-275.
    25. Armstrong, Jed & Skilling, Hayden & Yao, Fang, 2019. "Loan-to-value ratio restrictions and house prices: Micro evidence from New Zealand," Journal of Housing Economics, Elsevier, vol. 44(C), pages 88-98.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jan Klacso, 2024. "Estimating Macro DSTI for Selected EU Countries," Working and Discussion Papers WP 3/2024, Research Department, National Bank of Slovakia.

    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. Hodula, Martin & Melecký, Martin & Pfeifer, Lukáš & Szabo, Milan, 2023. "Cooling the mortgage loan market: The effect of borrower-based limits on new mortgage lending," Journal of International Money and Finance, Elsevier, vol. 132(C).
    2. Martin Hodula & Lukas Pfeifer & Ngoc Anh Ngo, 2023. "Easing of Borrower-Based Measures: Evidence from Czech Loan-Level Data," Working Papers 2023/18, Czech National Bank.
    3. Singh, Bhupal, 2023. "Housing prices and macroprudential policies: Evidence from microdata," Economic Systems, Elsevier, vol. 47(1).
    4. Malovaná, Simona & Hodula, Martin & Gric, Zuzana & Bajzík, Josef, 2023. "Macroprudential policy in central banks: Integrated or separate? Survey among academics and central bankers," Journal of Financial Stability, Elsevier, vol. 65(C).
    5. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    6. Dimitris Mokas & Massimo Giuliodori, 2021. "Effects of LTV announcements in EU economies," Working Papers 704, DNB.
    7. Andrea Ferrero & Richard Harrison & Benjamin Nelson, 2024. "House Price Dynamics, Optimal LTV Limits and the Liquidity Trap," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 940-971.
    8. Kristin J. Forbes, 2021. "The International Aspects of Macroprudential Policy," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 203-228, August.
    9. Simona Malovana & Martin Hodula & Zuzana Gric & Josef Bajzik, 2022. "Borrower-Based Macroprudential Measures and Credit Growth: How Biased is the Existing Literature?," Working Papers 2022/8, Czech National Bank.
    10. Sandri, Damiano & Bergant, Katharina & Grigoli, Francesco & Hansen, Niels-Jakob, 2020. "Dampening Global Financial Shocks: Can Macroprudential Regulation Help (More than Capital Controls)?," CEPR Discussion Papers 14948, C.E.P.R. Discussion Papers.
    11. Katharina Bergant & Francesco Grigoli & Niels‐Jakob Hansen & Damiano Sandri, 2024. "Dampening Global Financial Shocks: Can Macroprudential Regulation Help (More than Capital Controls)?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(6), pages 1405-1438, September.
    12. Knut Are Aastveit & Ragnar Enger Juelsrud & Ella Getz Wold, 2023. "The leverage-liquidity trade-of mortgage regulation," Working Papers 04/2023, Centre for Household Finance and Macroeconomic Research (HOFIMAR), BI Norwegian Business School.
    13. Laufer, Steven & Tzur-Ilan, Nitzan, 2021. "The effect of LTV-based risk weights on house prices: Evidence from an Israeli macroprudential policy," Journal of Urban Economics, Elsevier, vol. 124(C).
    14. Kim, Soyoung & Mehrotra, Aaron, 2022. "Examining macroprudential policy and its macroeconomic effects – Some new evidence," Journal of International Money and Finance, Elsevier, vol. 128(C).
    15. Mokas, Dimitris & Giuliodori, Massimo, 2023. "Effects of LTV announcements in EU economies," Journal of International Money and Finance, Elsevier, vol. 133(C).
    16. Martin Hodula & Ngoc Anh Ngo, 2021. "Does Macroprudential Policy Leak? Evidence from Non-Bank Credit Intermediation in EU Countries," Working Papers 2021/5, Czech National Bank.
    17. Yavuz Arslan and Christian Upper, 2017. "Macroprudential frameworks: implementation and effectiveness," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential frameworks, implementation and relationship with other policies, volume 94, pages 25-47, Bank for International Settlements.
    18. Yang, Jin Young & Suh, Hyunduk, 2023. "Heterogeneous effects of macroprudential policies on firm leverage and value," International Review of Financial Analysis, Elsevier, vol. 86(C).
    19. Viral V. Acharya & Katharina Bergant & Matteo Crosignani & Tim Eisert & Fergal Mccann, 2022. "The Anatomy of the Transmission of Macroprudential Policies," Journal of Finance, American Finance Association, vol. 77(5), pages 2533-2575, October.
    20. Zhong, Changbiao & Xie, Lijuan & Shi, Yu & Xu, Xiangyun, 2023. "Macro-prudential policy, its alignment with monetary policy and house price growth: A cross-country study," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 51-62.

    More about this item

    Keywords

    Borrower-based measures; causal forests; Czech Republic; macroprudential recommendations; residential mortgage loans;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • 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
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

    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:cnb:wpaper:2022/3. 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: Jan Babecky (email available below). General contact details of provider: https://edirc.repec.org/data/cnbgvcz.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.