Erlend Nier

Zohair Alam

Mr.Adrian Alter

Jesse Eiseman

Mr.R. G Gelos

Mr.Heedon Kang

Mr.Machiko Narita

Naixi Wang

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.

Digging Deeper--Evidence on the Effects of Macroprudential Policies from a New Database

Radu Popa

Maral Shamloo

Liviu Voinea

We provide empirical evidence to support the calibration of a limit on household indebtedness levels, in the form of a cap on the debt-service-to-income (DSTI) ratio, in order to reduce the probability of borrower defaults in Romania. The analysis establishes two findings that are new to the literature. First, we show that the relationship between DSTI and probability of default is non-linear, with probability of default responding to increases in DSTI only after a certain threshold. Second, we establish that consumer loan defaults occur at lower levels of DSTI compared to mortgages. Our results support the recent regulation adopted by the National Bank of Romania, limiting the household DSTI at origination to 40 percent for new mortgages and consumer loans. Our counterfactual analysis indicates that had the limit been in place for all the loans in our sample, the probability of default (PD) would have been lower by 23 percent.

Debt Service and Default: Calibrating Macroprudential Policy Using Micro Data

Ouarda Merrouche

This paper investigates empirically the drivers of financial imbalances ahead of the global financial crisis. Three factors may have contributed to the build-up of financial imbalances: (i) rising global imbalances (capital flows), (ii) monetary policy that might have been too loose, (iii) inadequate supervision and regulation. Panel data regressions are performed for OECD countries from 1999 to 2007, so as to shed light on the relative importance of these factors, as well as the extent to which these factors might have interacted in fuelling the build-up. We find that the build-up of financial imbalances was driven by capital inflows and an associated compression of the spread between long and short rates. The effect of capital inflows on the build-up is amplified where the supervisory and regulatory environment was relatively weak. We find that, by contrast, differences in monetary policy cannot account for differences across countries in the build-up of financial imbalances ahead of the crisis.

Evidenceon the Drivers of Financial Imbalances 1999: 2007

What Caused the Global Financial Crisis

Erlend Nier

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