A decade of borrower-based measures in the banking union
Published as part of the Macroprudential Bulletin 29, June 2025.
Borrower-based measures (BBMs) are critical tools in the banking union’s macroprudential policy frameworks. They are designed to promote sustainable lending practices and strengthen the resilience of borrowers, lenders and the broader economy. Over the past decade, the adoption of BBMs has significantly increased across countries in the banking union, likely reflecting their effectiveness. This article reviews ten years of experience with the implementation of BBMs within banking union countries, with a view to facilitating peer learning and providing a comprehensive overview of BBM strategies and applications.
1 Introduction
Borrower-based measures (BBMs) have become essential elements of the macroprudential policy toolkit in the banking union. BBMs, also known as regulatory limits to residential real estate lending standards, such as loan-to-value (LTV), debt service-to-income (DSTI), debt-to-income (DTI) ratios and loan maturity, aim to ensure sustainable lending practices that ultimately support the resilience of borrowers, lenders and the broader economy. Residential real estate lending standards tend to loosen during an economic or financial cycle upturn. This leads to excessively risky new lending and a build-up of vulnerabilities which, in turn, can jeopardise financial stability (Article 1). BBM policies can backstop minimum levels of prudent lending standards at all times, but particularly during the upswing phase of the economic or financial cycle. Therefore, a crucial aspect of any successful BBM strategy is to implement the measure early in the cycle and maintain it throughout.
The progressive adoption of BBMs across banking union countries over the past decade is an implicit acknowledgement of their policy effectiveness (Table 1). The number of countries implementing BBMs, such as limits on the DSTI ratio, almost tripled between 2015 and 2025. More generally, BBMs addressing primarily residential real estate vulnerabilities are currently in place in almost all banking union countries. As of 2025, 18 out of 21 banking union countries have at least one active measure.[2] The calibration and design of the instruments differ across countries likely reflecting national specificities.[3]
Against this background, this article reviews the implementation of BBMs over the past decade. It seeks to enhance peer learning and provide an updated stocktake of BBM strategies and designs across countries in the banking union.
Table 1
Almost all banking union countries currently have BBMs in place.
Overview of implemented and announced BBMs across banking union countries
(limits defined under national frameworks)

Sources: ECB and notifications by national authorities.
Notes: Only housing loans are considered. Austria: loan-to-collateral (LTC) limits are considered instead of LTV. Belgium: LTV exemption rates refer to first-time buyers (FTB) and second and subsequent buyers (SSB). DSTI and DTI measures are computed as follows: DSTI>50% x LTV>90% (+5% exemption) and DTI>9 x LTV>90% (+5% exemption). Bulgaria: the 5% exemption applies to all three limits (LTV, DSTI and maturity) simultaneously. Ireland: the LTV and loan-to-income (LTI) exemption rates refer to FTB/SSB and buy-to-let (BTL) loans. The LTV limit for BTL loans is 70%, with an exemption of up to 10%. Finland: the LTC limit is considered instead of LTV. Croatia: the table includes announced measures that will be implemented as of 1 July 2025. Luxembourg: LTV for other residential real estate loans, including BTL loans, is 80%, with no exemption. Latvia: LTV limit for BTL loans is 70%. Malta: a distinction is made between category I and category II borrowers for the LTV exemption. An exemption rate of 10% applies to category I borrowers and a 20% exemption rate applies to category II borrowers. Portugal: for the DSTI exemption, 10% of loans can be granted to borrowers with a DSTI of up to 60%, while 5% of total loans can be granted to borrowers with a DSTI above 60%. Slovakia: for the LTV exemption, the LTV ratio may be up to 90% for up to 20% of new loans. Slovenia: up to 15% of consumer loans may have a maturity of up to 120 months if compliant with the DSTI cap.
2 Using combinations of BBMs as a structural backstop
The effectiveness of BBMs in ensuring sound and sustainable lending standards underpins their structural application by many banking union countries. The small number of instrument recalibrations over time as well as the gradual but steady increase in the number of countries implementing additional measures since 2015 point to a structural[4] use of BBMs (Chart 1, panel a). When necessary, limited adjustments can be made to avoid unwarranted bindingness. Their consistent application through the cycle provides a stable reference for an appropriate minimum level of lending standards. This consistency helps to ensure risks are mitigated automatically and in a timely manner when lending standards loosen and it sustains the debt repayment capacity of households and the resilience of banks through the cycle. Besides these financial stability benefits, maintaining adequately calibrated BBMs throughout the cycle – or implementing them early in the cycle if they are not yet in place – may also be more socially acceptable, as they help avoid a situation in which too many borrowers simultaneously face restricted access to housing credit during upturns.[5]
Countries have generally implemented a mix of collateral (LTV), income-based (DTI or DSTI) and maturity limits.[6] As of 2025 more than half of the countries with active BBMs in place have implemented a combination of collateral (LTV), income-based (DTI or DSTI) and maturity limits (Chart 1, panel b). This marks a significant increase in the use of multiple instruments compared with a decade ago. Designing and calibrating BBMs jointly also helps to prevent unintended effects or circumvention (e.g. unwarranted maturity extensions to comply with DSTI limits). Only a few macroprudential authorities with active BBMs deviate from implementing a combination of tools, often for country-specific reasons.
Chart 1
BBMs are commonly used as a structural backstop to avoid an excessive loosening of lending standards and are implemented in combination to enhance their effectiveness.
a) Implementation and recalibration of BBMs | b) Use of BBMs by type of instrument |
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(left-hand scale: number of LTV/DSTI recalibrations; right-hand scale: number of countries) | (number of cases activating main limits and the specified combination) |
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Source: ECB, Macroprudential Database and ECB calculations.
Notes: The bars in panel a) indicate how many countries recalibrated their LTV or DSTI limits each year. Recalibration can be either a tightening or a loosening of the main limits and can apply to either first-time-buyers (FTBs) or second and subsequent buyers (SSBs). The right-hand scale shows the number of countries implementing LTV limits (blue line) and DSTI limits (yellow line) over time. For Austria and Finland, LTC limits are considered instead of LTV limits. For Croatia, all measures are applicable as of 1 July 2025. Panel b) shows the number of cases per instrument and combination of instruments respectively.
3 Fine-tuning the design of BBMs – the role of flexibility elements
The design of BBMs often includes flexibility elements such as differentiated limits and/or exemptions. Macroprudential limits to lending standards like the LTV or DSTI can be calibrated at different levels across various categories of borrowers (e.g. first-time buyers, second and subsequent buyers, owner-occupied residencies and buy-to-let properties). In addition, differentiated limits can be complemented by or replaced with exemptions (also known as allowances or speed limits). Exemptions refer to the percentage share of new lending over an identified period (e.g. a quarter) that is permitted above the main limits. Such elements enhance the risk-targeting and countercyclical effectiveness of BBMs while helping to ensure social and political acceptance.
A loan-level analysis suggests that lending standards tend to differ systematically across groups of borrowers. Younger and lower-income borrowers, who are typically considered riskier, tend to have higher lending standards. The analysis suggests that for younger borrowers, LTVs are on average 11 percentage points higher relative to mature borrowers (Chart 2, panel a). Similarly, the LTIs of lower-income borrowers are approximately 400 percentage points higher on average than those of upper-middle income borrowers. This illustrates how imposing the same limit on all borrowers can have disproportionate effects on specific groups. It also shows that differentiating limits across borrower groups may help avoid unintended distributional effects, particularly if policymakers wish to take into account other (social) policy objectives besides financial stability.
Incorporating flexibility elements into the design of BBMs can improve risk targeting while supporting access to lending throughout the cycle. The design of BBMs can take into account social policy considerations such as credit market access (i.e. not unduly constraining the affordability of housing finance for certain borrowers). Exemptions also give more flexibility to lenders, enabling them to account for the diverse risk profiles of borrowers and for data uncertainty. At the same time, the negative impact of loose lending standards tends to be particularly pronounced when a large share of new lending is directed towards borrowers who are subject to such standards. Therefore, a limited and prudent use of exemptions can support flexibility without jeopardising financial stability.
Many banking union countries already incorporate flexibility elements into the design of BBMs. Seven countries in the banking union differentiate their LTV and L/DSTI limits by first-time buyers and second and subsequent buyers. 11 countries use exemptions to L/DSTI limits and ten use exemptions to LTV limits (Chart 2, panel b). In these cases, up to one-third (and mostly between 10% and 20%) of new lending is permitted above the main limits, balancing flexibility with the need to avoid too strong a loosening of the main limits.
Chart 2
Flexibility elements can improve the balance between risk mitigation and access to credit markets throughout the cycle.
a) Lending standards by age and income cohorts | b) Number of countries implementing BBM exemptions |
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(left-hand panel: percentage point differences, right-hand panel: percentages) | (number of countries; figures indicate the range of exemption calibration in %) |
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Sources: ECB, European Data Warehouse, Macroprudential Database and author elaboration.
Notes: Panel a) shows standardised linear predictions and 95% confidence intervals for lending standards (LTV and LTI) in Belgium, Spain, France, Ireland, Italy, the Netherlands and Portugal for the period 2004-22 (the pandemic period of 2020-21 is excluded from the estimation). The underlying model has time and country fixed effects and macro controls: one-year growth of nominal GDP, year-on-year residential real estate price growth, three-month overnight index swap rate (lagged one quarter), systemic risk indicator (lagged one quarter), unemployment rate (lagged one quarter) and country-level index of financial stress (lagged one quarter). Age and borrowers’ income buckets are defined based on the distribution of the variables at country level. Specifically, the categories are defined as follows: younger is below the 10th percentile of the country-specific age distribution; young is between the 10th and 50th percentile, and older is above the 90th percentile. Lower income is below the 10th percentile of the country-specific distribution of borrower income, lower-middle income is between the 10th and 50th percentile and higher income is above the 90th percentile. The reference bucket that should be used to interpret the results is mature (for LTV), i.e. borrowers for which the age distribution (at country level) is between the 50th and 90th percentile, and upper-middle income (for LTI), i.e. borrowers for which the income distribution (at country level) is between the 50th and 90th percentile. Panel b) is at November 2024. *One country set the exemption at 3%. ** One country set the exemption at 5% and another country at 35%.
4 Conclusion
This article looks at the use of BBMs across countries in the banking union by examining their implementation, design and calibration and draws three main conclusions. First, the use of BBMs as a structural backstop appears to have gained traction as a successful policy strategy to safeguard prudent lending standards throughout the cycle. Second, an increasing number of countries use combinations of collateral (LTV) and income-based (either DTI or DSTI) macroprudential limits to take advantage of their complementarity, which can enhance financial stability and help prevent policy circumvention. Finally, including flexibility elements, such as differentiated limits or exemptions to target specific borrower groups, in the design of BBMs can help improve the balance between risk mitigation and access to credit markets throughout the economic cycle.
References
Ampudia, M. et al. (2021), “On the effectiveness of macroprudential policy”, Working Paper Series, No 2559, ECB, May.
Behn, M. and Lang, J.H. (2023), “Implications for macroprudential policy as the financial cycle turns”, Macroprudential Bulletin, No 22, ECB, July.
BIS (2023), “Macroprudential policies to mitigate housing market risks”, CGFS Papers, No 69, December.
Biljanovska, N. et al. (2023), “Macroprudential Policy Effects: Evidence and Open Questions”, Departmental Papers, No 2023/002, IMF, March.
Lo Duca, M. et al. (2023), “The more the merrier? Macroprudential instrument interactions and effective policy implementation”, Occasional Paper Series, No 310, ECB, March.
Tereanu, E. et al. (2022), “The transmission and effectiveness of macroprudential policies for residential real estate”, Macroprudential Bulletin, No 19, ECB, October.
The support of Giovanna Milone with data and chart preparation is gratefully acknowledged.
National specificities and various factors (such as a lack of appropriate data) could affect the implementation of BBMs in countries that do not have active measures.
For detailed discussion of the design, interaction, transmission and effectiveness of BBMs, see Tereanu, E. et al. (2022), “The transmission and effectiveness of macroprudential policies for residential real estate”, Macroprudential Bulletin, No 19, ECB, October; Lo Duca, M. et al. (2023), “The more the merrier? Macroprudential instrument interactions and effective policy implementation”, Occasional Paper Series, No 310, ECB, March; BIS (2023), “Macroprudential policies to mitigate housing market risks”, CGFS Papers, No 69, December; and Biljanovska, N. et al. (2023), “Macroprudential Policy Effects: Evidence and Open Questions”, Departmental Papers, No 2023/002, IMF, March.
In this article, structural means that BBMs are in place throughout the economic or financial cycle while cyclical means that measures are present in upturns and not present in downturns. Data on the use of instruments in the banking union over time show that countries implementing BBMs before the pandemic broadly maintained them afterwards, indicating structural usage.
Comprehensive communication can address concerns that introducing BBMs as backstops calibrated at levels above those present in the lending market may lead to a risky deterioration in lending standards via “bunching towards the limit” (for example, by noting that the current tighter market lending standards are seen as appropriate, and the backstop limits target the very risky tails of lending standards).
For a more detailed discussion of how multiple instruments enhance financial stability via complementary channels, see Lo Duca, M. et al. (2023), “The more the merrier? Macroprudential instrument interactions and effective policy implementation”, Occasional Paper Series, No 310, ECB, March.