Abstract

A growing body of literature has highlighted two important caveats to the credit-to-GDP gap as advocated by the Bank for International Settlements (BIS). The first relates to the approach used to normalise credit (i.e. dividing nominal credit by GDP). In this regard, critics have argued that GDP movements, that may or may not be relevant, run the risk of affecting a normalised measure of credit. The second relates to the use of the Hodrick-Prescott (HP) filter to estimate the gap’s trend component. In this regard, critics have emphasised several measurement problems associated with using the HP filter. In this paper, we assess the relevance of these critiques for Switzerland. Our findings show that despite its drawbacks, the BIS gap is a reliable measure of excess credit in Switzerland. Alternatives do not provide clear advantages, rather they are considerably more complex to estimate and come with their own set of pitfalls. For policymaking purposes, the BIS gap’s signal should be complemented with narratives based on a broader set of credit metrics to ensure that an all-encompassing risk assessment is made.

Highlights

  • Strong credit growth has preceded many historic episodes of financial instability

  • The credit-to-GDP gap is based on Kindleberger (2000) and Minsky’s (1982) views on the mechanism that leads to crisis

  • Our findings show that despite its drawbacks, the Bank for International Settlements (BIS) gap is a reliable measure of excess credit in Switzerland and should remain an integral part of the macroprudential decision-making framework

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Summary

Introduction

Strong credit growth has preceded many historic episodes of financial instability. Most recently, in the run up to the global financial crisis, strong credit growth resulted in high leverage and the materialisation of systemic banking crises. Given that policyrelevant gaps are estimated in real time, subsequent statistical revisions to either credit or GDP can considerably affect the gap’s quarterly signal (Edge & Meisenzahl, 2011). Through the approach adopted to smooth GDP, the modified BIS gap is subject to the end-point problem and is revised each time new information becomes available, affecting its past values.

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