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Cooling the mortgage loan market: The effect of borrower-based limits on new mortgage lending

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  • Hodula, Martin
  • Melecký, Martin
  • Pfeifer, Lukáš
  • Szabo, Milan

Abstract

This paper studies the effects of regulatory measures concerning maximum loan-to-value (LTV), debt-to-income (DTI), and 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 Czechia from 2016 to 2019 to estimate the average effects of regulatory measures and their heterogeneous effects depending on borrower, loan, bank, and regional characteristics. We find that the LTV limits decreased the mortgage loan size only slightly, while the value of collateral securing the loans increased. Only the additional DTI and DSTI limits helped reduce the average loan size significantly and prompted more risk-sensitive pricing that heighten the average lending rate. The mortgage market response to the limits appears heterogeneous in loan size rather than pricing or collateralization. The loan size reduction varied with the borrower’s income, age, and location. High-income, high-repayment, and 25 to 35 years old borrowers reduced their contracted loan size more. Borrowers located in regions with higher GDP per capita and lower unemployment rates reduced the contracted loan size more. Longer-maturity loans showed a greater drop in the contracted loan size.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jimfin:v:132:y:2023:i:c:s0261560623000098
    DOI: 10.1016/j.jimonfin.2023.102808
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    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. Altunbas, Yener & Binici, Mahir & Gambacorta, Leonardo, 2018. "Macroprudential policy and bank risk," Journal of International Money and Finance, Elsevier, vol. 81(C), pages 203-220.
    3. 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.
    4. 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.
    5. Morgan, Peter J. & Regis, Paulo José & Salike, Nimesh, 2019. "LTV policy as a macroprudential tool and its effects on residential mortgage loans," Journal of Financial Intermediation, Elsevier, vol. 37(C), pages 89-103.
    6. Richter, Björn & Schularick, Moritz & Shim, Ilhyock, 2019. "The costs of macroprudential policy," Journal of International Economics, Elsevier, vol. 118(C), pages 263-282.
    7. 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.
    8. 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.
    9. 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.
    10. Joshua D. Angrist & Guido M. Kuersteiner, 2011. "Causal Effects of Monetary Shocks: Semiparametric Conditional Independence Tests with a Multinomial Propensity Score," The Review of Economics and Statistics, MIT Press, vol. 93(3), pages 725-747, August.
    11. 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.
    12. 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.
    13. Evžen Koèenda & Jan Hanousek & Peter Ondko, 2007. "The Banking Sector in New EU Member Countries: A Sectoral Financial Flows Analysis (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(5-6), pages 200-224, August.
    14. 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.
    15. 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.
    16. 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.
    17. Sónia Félix & Daniel Abreu, 2021. "The impact of a macroprudential borrower based measure on households’ leverage and housing choices," Working Papers w202116, Banco de Portugal, Economics and Research Department.
    18. Ms. Juliana Dutra Araujo & Manasa Patnam & Ms. Adina Popescu & Mr. Fabian Valencia & Weijia Yao, 2020. "Effects of Macroprudential Policy: Evidence from Over 6,000 Estimates," IMF Working Papers 2020/067, International Monetary Fund.
    19. Eugenio Cerutti & Ricardo Correa & Elisabetta Fiorentino & Esther Segalla, 2017. "Changes in Prudential Policy Instruments - A New Cross-Country Database," International Journal of Central Banking, International Journal of Central Banking, vol. 13(2), pages 477-503, March.
    20. de Araujo, Douglas Kiarelly Godoy & Barroso, Joao Barata Ribeiro Blanco & Gonzalez, Rodrigo Barbone, 2020. "Loan-to-value policy and housing finance: Effects on constrained borrowers," Journal of Financial Intermediation, Elsevier, vol. 42(C).
    21. Granziera, Eleonora & Kozicki, Sharon, 2015. "House price dynamics: Fundamentals and expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 152-165.
    22. 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.
    23. Fidrmuc, Jarko & Lind, Ronja, 2020. "Macroeconomic impact of Basel III: Evidence from a meta-analysis," Journal of Banking & Finance, Elsevier, vol. 112(C).
    24. Nitzan Tzur-Ilan, 2018. "LTV Limits and Borrower Risk," Bank of Israel Working Papers 2018.12, Bank of Israel.
    25. Evžen Kocenda & Martin Vojtek, 2011. "Default Predictors in Retail Credit Scoring: Evidence from Czech Banking Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(6), pages 80-98, November.
    26. 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.
    27. 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.
    28. Morgan, Peter & Regis, Paulo José & Salike, Nimesh, 2015. "Loan-to-Value Policy as a Macroprudential Tool: The Case of Residential Mortgage Loans in Asia," RIEI Working Papers 2015-03, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    29. Martin Cesnak & Jan Klacso & Roman Vasil, 2021. "Analysis of the Impact of Borrower-Based Measures," Working and Discussion Papers OP 3/2021, Research Department, National Bank of Slovakia.
    30. 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.
    31. 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.
    32. Mr. Luis Ignacio Jácome & Ms. Srobona Mitra, 2015. "LTV and DTI Limits—Going Granular," IMF Working Papers 2015/154, International Monetary Fund.
    33. Martin Schneider & Monika Piazzesi, 2009. "Momentum traders in a search model of the housing market," 2009 Meeting Papers 1266, Society for Economic Dynamics.
    34. Favara, Giovanni & Song, Zheng, 2014. "House price dynamics with dispersed information," Journal of Economic Theory, Elsevier, vol. 149(C), pages 350-382.
    35. 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.
    36. Dominika Ehrenbergerová & Martin Hodula & Zuzana Gric, 2022. "Does capital-based regulation affect bank pricing policy?," Journal of Regulatory Economics, Springer, vol. 61(2), pages 135-167, April.
    37. 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.
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    Cited by:

    1. 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.

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    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

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