Does Macroprudential Limit Risky Lending?

An interesting BIS working paper “Higher Bank Capital Requirements and Mortgage Pricing: Evidence from the Countercyclical Capital Buffer (CCB)”, examines the impact of implementing CCB on the mortgage market in Switzerland. Does the CCB have the potential to shift lending from less resilient to more resilient banks, and from riskier to less risky borrowers? This paper looks beyond just trying to control total credit growth. They conclude that the CCB does affect the composition of mortgage supply and raises the prices of more risky loans. In fact banks try to pass on the extra capital costs of previously issued mortgages to new customers. However, it does not stop more risky lending, because the link between borrower risk characteristics (here, loan-to-value (LTV) ratios) and capital requirements is too weak to actively discourage banks from offering mortgages to high-LTV borrowers after the CCB is activated.

Macroprudential policies have recently attracted considerable attention. They aim at both strengthening the resilience of the financial system to adverse aggregate shocks and at actively limiting the build-up of financial risks in the sense of “leaning against the financial cycle”. One reason for the appeal of such policies is that, by explicitly taking a system-wide perspective, they complement macroeconomic and prudential measures in seeking to address systemic risks arising from externalities (such as joint failures and procyclicality) that are not easily internalised by financial market participants themselves. Against this background, the new Basel III regulatory standards feature the Countercyclical Capital Buffer (CCB) as a dedicated macroprudential tool designed to protect the banking sector from the detrimental effects of the financial cycle. We provide the first empirical analysis of the CCB based on data from Switzerland – which became the first country to activate such a buffer on February 13, 2013. To reinforce banks’ defenses against the build-up of systemic vulnerabilities, the activation of the CCB raised their regulatory capital requirements, thereby contributing to the sector’s overall resilience. However, little is known about the CCB’s contribution towards the second macroprudential objective: higher requirements might slow bank lending or alter the quality of loans during the boom and thereby enable policy-makers to “lean against the financial cycle”. Up to now, policy debates have focused mainly on the quantity of aggregate credit growth. We aim to shift the focus of the debate towards the quality, namely the composition of lenders and how tighter capital requirements interact with borrower risk characteristics. Does the CCB have the potential to shift lending from less resilient to more resilient banks, and from riskier to less risky borrowers? Based on our findings, our analysis advances the understanding of some mortgage supply side aspects about whether the CCB can contribute towards the second objective of macroprudential policy, the “leaning against the financial cycle”.

To answer these questions, we examine how the CCB affects the pricing of mortgages. Our unique dataset obtained from an online mortgage platform allows us to separate mortgage supply from demand: each mortgage request receives several binding offers from several different banks, and, each bank can offer mortgages to many different households with distinct borrower risk characteristics. To identify the CCB effect on mortgage supply, we exploit lagged bank balance sheet characteristics that might render a bank more sensitive to the regulatory design of the CCB. To examine whether risk-weighting schemes that link borrower risk characteristics to capital requirements do, in fact, amplify the CCB effect, we use comprehensive information as specified in the mortgage request. The procedures of the online mortgage platform warrant that banks submit independent offers that draw precisely on the same set of anonymized hard information observed by their competitors (and available to us), undistorted by any private or soft information.

Two sets of results stand out. First, the CCB affects the composition of mortgage supply. Once the activated CCB imposes higher capital requirements, capital-constrained banks with low capital cushions raise their mortgage rates relatively more than their competitors. Further, after the CCB is activated, specialized banks that operate a very mortgage-intensive business model also raise their mortgage rates to a greater degree in relative terms. In fact, the CCB applies to new mortgages as well as to the stock of all mortgages held on a bank’s balance sheet. Our results for specialized mortgage lenders thus suggest that banks try to pass on the extra capital costs of previously issued mortgages to new customers. Both insights are indicative of changes in the composition of mortgage supply. Based on the assumption that, ceteris paribus, households prefer lower mortgage rates over more expensive ones,2 we conclude that the CCB tends to shift new mortgage lending from relatively less well capitalized banks to relatively better capitalized ones, and from relatively more to relatively less mortgage-exposed banks. For these reasons, both changes in the composition of mortgage supply are broadly supportive of the second macroprudential objective in that they tend to allocate new mortgage lending to banks that are more resilient.

Our second set of core findings incorporates the borrower side and the effectiveness of common risk-weighting schemes that translate borrower risk into bank capital requirements. We find that banks generally claim extra compensation for granting riskier mortgages (ie, by charging higher mortgage rates). However, these risk-weighting schemes do not appear to amplify the effect of the CCB on mortgage rates or mortgage creation. Apparently, the link between borrower risk characteristics (here, loan-to-value (LTV) ratios) and capital requirements is too weak to actively discourage banks from offering mortgages to high-LTV borrowers after the CCB is activated.

Our paper contributes to the literature in three different respects. First, our empirical setup allows us to advance the understanding of the effects of the CCB as a macroprudential policy tool, particularly in the context of Basel III. More generally, our insights also contribute to a better understanding of how higher capital requirements impact the pricing of loans to private households. Second, our dataset allows us to disentangle mortgage supply from mortgage demand. By merging bank-level information with the respective offers, we can attribute changes in the composition of mortgage supply to distinct bank balance sheet characteristics that shape a bank’s pricing of mortgages. These dimensions of our data set our approach apart from standard analyses based on mortgage contracts, which have a blind spot with respect to the spectrum of all offered (but non-concluded) rates. Third, our analysis informs the debate on the effectiveness of risk-weighting schemes, a standard concept in bank regulation.

Note that BIS Working Papers are written by members of the Monetary and Economic Department of the Bank for International Settlements, and from time to time by other economists, and are published by the Bank. The papers are on subjects of topical interest and are technical in character. The views expressed in them are those of their authors and not necessarily the views of the BIS.

Author: Martin North

Martin North is the Principal of Digital Finance Analytics

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