Credit Capital and Crises: A GDP-at-Risk Approach

Working Paper: CEPR ID: DP15864

Authors: David Aikman; Jonathan Bridges; Sinem Hacioglu; Hoke Cian O'Neill; Akash Raja

Abstract: Using quantile regressions applied to a panel dataset of 16 advanced economies, we examine how downside risk to growth over the medium term is affected by a set of macroprudential indicators. We find that credit and property price booms, and wide current account deficits increase downside risks 3 to 5 years ahead. However, such downside risks can be partially mitigated by increasing the capital ratio of the banking system. We show that GDP-at-Risk, defined as the the 5th quantile of the projected GDP growth distribution three years ahead, deteriorated in the US in the run-up to the Global Financial Crisis, driven by rapid growth in credit and house prices alongside a widening current account deficit. Our results suggest such indicators could provide useful information for the stance of macroprudential policy.

Keywords: financial stability; gdpatrisk; macroprudential policy; quantile regressions; local projections

JEL Codes: G01; G18; G21


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
credit and property price booms (E51)gdpatrisk (Y70)
wide current account deficits (F32)gdpatrisk (Y70)
3-year change in the credit-to-GDP ratio (E49)gdpatrisk (Y70)
real house price growth (R31)gdpatrisk (Y70)
bank capital ratios (G28)gdpatrisk (Y70)

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