Macroprudential Policies And Housing Price

Several countries in Central, Eastern and Southeastern Europe used a rich set of prudential instruments in response to last decade’s credit and housing boom and bust cycles. We collect detailed information on these policy measures in a comprehensive database covering 16 countries at a quarterly frequency. We use this database to investigate whether the policy measures had an impact on housing price inflation. Our evidence suggests that some—but not all—measures did have an impact. These measures were changes in the minimum CAR and non-standard liquidity measures (marginal reserve requirements on foreign funding, marginal reserve requirements linked to credit growth).

Macroprudential policy in Europe aligns with the objective of limiting systemic risk, namely the risk of widespread disruption to the provision of financial services that is caused by an impairment of all or parts of the financial system and that can cause serious negative consequences for the real economy.

This paper examines the efficacy of macroprudential policies in addressing housing prices in a developing country while underscoring the importance of fundamental factors. The estimated models using city-level data for India suggest a strong influence of fundamental factors in driving housing prices. There is compelling evidence of the effectiveness of macroprudential tools viz., Loan-to-value (LTV) ratio, risk weights, and provisioning requirements, in influencing housing price movements. A granular analysis suggests an even stronger impact on housing prices of a change in the regulatory LTV ratio for large-sized vis-à-vis small-sized mortgages, which buttresses their potency in fighting house price speculations. A tightening of the risk weights on the housing assets of banks causes significant downward pressure on house prices. Similarly, regulatory changes in standard asset provisioning on housing loans also influence house prices.

Guyana’s residential real estate prices have been rising, particularly in the capital city Georgetown, following the discovery of oil in 2015. In line with the growing demand for housing, commercial banks’ housing loans have increased, prompting higher household debt. This paper presents two analyses which suggest that housing prices in Georgetown and banks’ lending to the housing sector appear to be in their early stages of growth. However, given the data limitations and caveats that underpin the analyses, the findings could also indicate early signals of possible risks. Further data collection would support surveillance and deeper studies. At the same time, enhancing prudential measures would help safeguard financial and macroeconomic stability. These include strengthening the monitoring of the housing market, bank lending practices and household debt, as well as fortifying the macroprudential framework, including with more effective toolkits for early intervention.

The goal of this paper is to assess the effectiveness of the policy measures taken by Canadian authorities to address the housing boom. We find that the the last three rounds of macroprudential policies implemented since 2010 were associated with lower mortgage credit growth and house price growth. The international experience suggests that—in addition to tighter loan-to-value limits and shorter amortization periods—lower caps on the debt-to-income ratio and higher risk weights could be effective if the housing boom were to reignite. Over the medium term, the authorities could consider structural measures to further improve the soundness of housing finance.

Housing market developments are in the spotlight in Europe. Over-stretched valuations amid tightening financial conditions and a cost-of-living crisis have increased risks of a sustained downturn and exposed challenging trade-offs for macroprudential policy between ensuring financial system resilience and smoothing the macro-financial cycle. Against this backdrop, this paper provides detailed considerations regarding how to (re)set macroprudential policy tools in response to housing-related systemic risk in Europe, providing design solutions to avoid unintended consequences during a tightening phase, and navigating the trade-offs between managing the build-up of vulnerabilities and the macro-financial cycle in a downturn. It also proposes a novel framework to measure the effectiveness of tools and avoid overlaps by quantifying the risks addressed by different macroprudential instruments. Finally, it introduces a taxonomy allowing to assess a country’s macroprudential stance and whether adjustments to current policy settings are warranted—such as the relaxation of capital-based tools and possibly some borrower-based measures in the event of a more severe downturn.

This open access book discusses booming housing markets in cities around the globe, and the resulting challenges for policymakers and central banks. Cities are booming everywhere, leading to a growing demand for urban housing. In many cities this demand is out-pacing supply, which causes house prices to soar and increases the pressure on rental markets. These developments are posing major challenges for policymakers, central banks and other authorities responsible for ensuring financial stability, and economic well-being in general.This volume collects views from high-level policymakers and researchers, providing essential insights into these challenges, their impact on society, the economy and financial stability, and possible policy responses. The respective chapters address issues such as the popularity of cities, the question of a credit-fueled housing bubble, the role of housing supply frictions and potential policy solutions. Given its scope, the book offers a revealing read and valuable guide for everyone involved in practical policymaking for housing markets, mortgage credit and financial stability.

We analyze how regulatory constraints on household leverage—in the form of loan-to-income and loan-to-value limits—a?ect residential mortgage credit and house prices as well as other asset classes not directly targeted by the limits. Supervisory loan level data suggest that mortgage credit is reallocated from low-to high-income borrowers and from urban to rural counties. This reallocation weakens the feedback loop between credit and house prices and slows down house price growth in “hot” housing markets. Consistent with constrained lenders adjusting their portfolio choice, more-a?ected banks drive this reallocation and substitute their risk-taking into holdings of securities and corporate credit.