This paper introduces a new comprehensive database of macroprudential policies, which combines information from various sources and covers 134 countries from January 1990 to December 2016. Using these data, we first confirm that loan-targeted instruments have a significant impact on household credit, and a milder, dampening effect on consumption. Next, we exploit novel numerical information on loan-to-value (LTV) limits using a propensity-score-based method to address endogeneity concerns. The results point to economically significant and nonlinear effects, with a declining impact for larger tightening measures. Moreover, the initial LTV level appears to matter; when LTV limits are already tight, the effects of additional tightening on credit is dampened while those on consumption are strengthened.

This paper assesses the effectiveness of lending restriction measures, such as loan-to-value and debt-service-to-income ratios, in affecting developments in house prices and credit. We use data on 99 lending standard restrictions implemented in 28 EU countries over 1990–2018. The results suggest that lending restriction measures are generally effective in curbing house prices and credit. However, the impact is delayed and reaches its peak only after three years. In addition, the impact is asymmetric, with tightening measures having weaker association with target variables compared to loosening measures. The association is stronger in countries outside of euro area and for legally-binding measures and measures involving sanctions. The results have practical implications for macroprudential authorities.

This paper builds a novel database on the effects of macroprudential policy drawing from 58 empirical studies, comprising over 6,000 results on a wide range of instruments and outcome variables. It encompasses information on statistical significance, standardized magnitudes, and other characteristics of the estimates. Using meta-analysis techniques, the paper estimates average effects to find i) statistically significant effects on credit, but with considerable heterogeneity across instruments; ii) weaker and more imprecise effects on house prices; iii) quantitatively stronger effects in emerging markets and among studies using micro-level data; and iii) statistically significant evidence of leakages and spillovers. Other findings include relatively stronger impacts for tightening than loosening actions and negative effects on economic activity in the near term.

The global financial crisis (GFC) underscored the need for additional policy tools to safeguard financial stability and ultimately macroeconomic stability. Systemic financial vulnerabilities had developed under a seemingly tranquil macroeconomic surface of low inflation and small output gaps. This challenged the precrisis view that achieving these traditional policy targets was a sufficient condition for macroeconomic stability. Thus, new tools had to be deployed to target specific financial vulnerabilities and to build buffers to cushion adverse aggregate shocks, while allowing traditional policy levers, including monetary and microprudential policies to focus on their traditional roles. Macroprudential policy measures emerged as the solution to this gap. Some of these measures had been used before the GFC (mostly in emerging markets). But it was only after the crisis that they were more widely adopted, and the toolkit expanded. This spurred a growing body of empirical research on the effects and potential shortfalls of these measures, with a further deepening of this knowledge gaining importance as policymakers confront increased financial stability risks in the post-pandemic world. Recognizing that there still is much to learn, this paper takes stock of our expanding understanding about the effects (and side effects) of macroprudential measures by focusing on these questions: What have we learned about the effects of macroprudential policy in containing the buildup of vulnerabilities? What do we know about the effects on economic activity and resilience? How do policy effects vary with conditions and over time? How important are leakages and circumvention? How do the effects on credit depend on other policies?

Since at least the Great Financial Crisis, authorities around the world have increasingly relied on macroprudential policy to help secure financial stability and complement monetary policy as an integral element of a broader macro-financial stability framework. In today's interconnected global financial system, policy actions taken by the major advanced economies can have spillovers on the rest of the world through their impact on capital flows and exchange rates, potentially generating vulnerabilities across borders. Conversely, in emerging market economies, macroprudential policy as well as foreign exchange intervention and/or capital flow management policy can help mitigate the corresponding impact. This can in turn generate spillbacks on advanced economies — spillbacks that have become more sizeable as the emerging market economies' heft in the world has grown. Yet little is known about these interactions.The contents of this book are based on a conference held on 26-28 May 2021 and jointly hosted by the Monetary Authority of Singapore (MAS) and the Bank for International Settlements (BIS). It aims to contribute to existing literature on macro-financial policymaking by providing an overall conceptual framework and documenting the latest global trends and country experiences. In particular, it highlights the role of international spillovers and spillbacks, paying particular attention to emerging market economies. This book is essential reading for academics, graduate students and economic professionals. It can also serve as a handbook for policymakers at central banks, regulatory authorities and other government agencies tasked with designing and implementing macroprudential or more generally macro-financial stability policies. The book will also be of interest to researchers at international organisations.

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).