The paper evaluates how increases in banks’ and nonfinancial corporates’ default risk are transmitted in the global economy, using in a vector autoregression model for 30 advanced and emerging economies for the period from January 1996 to December 2008. The results point to two-way causality between bank and corporate distress and to significant global macroeconomic and financial spillovers from either type of distress when it originates in a systemic economy. Corporate distress in advanced economies has a larger impact on economic growth in emerging economies than bank distress in advanced economies has. In contrast, activity in advanced economies is more vulnerable to bank distress than to corporate distress.
A prolonged low-interest-rate environment presents a significant challenge to banks and is likely to entail major changes to their business models over the long-run. Lower returns to maturity transformation in the face of flatter yield curves and an inability to offer deposit rates significantly below zero combine to compress bank earnings in this environment. Smaller, deposit-funded, less diversified banks are hurt most, increasing consolidation pressures and reach-for-yield incentives, presenting new financial stability challenges.To the extent that such an economic environment reflects a new, steady-state with lower equilibrium growth driven by population aging and slower productivity growth, lower credit demand is likely to drive banking toward provision of fee-based, utility services.
We explore empirically how the time-varying allocation of credit across firms with heterogeneous credit quality matters for financial stability outcomes. Using firm-level data for 55 countries over 1991-2016, we show that the riskiness of credit allocation, captured by Greenwood and Hanson (2013)’s ISS indicator, helps predict downside risks to GDP growth and systemic banking crises, two to three years ahead. Our analysis indicates that the riskiness of credit allocation is both a measure of corporate vulnerability and of investor sentiment. Economic forecasters wrongly predict a positive association between the riskiness of credit allocation and future growth, suggesting a flawed expectations process.
We study the impact of the US quantitative easing (QE) on both the emerging and advanced economies, estimating a global vector error-correction model (GVECM) and conducting counterfactual analyses. We focus on the effects of reductions in the US term and corporate spreads. First, US QE measures reducing the US corporate spread appear to be more important than lowering the US term spread. Second, US QE measures might have prevented episodes of prolonged recession and deflation in the advanced economies. Third, the estimated effects on the emerging economies have been diverse but often larger than those recorded in the US and other advanced economies. The heterogeneous effects from US QE measures indicate unevenly distributed benefits and costs.
The paper evaluates how increases in banks’ and nonfinancial corporates’ default risk are transmitted in the global economy, using in a vector autoregression model for 30 advanced and emerging economies for the period from January 1996 to December 2008. The results point to two-way causality between bank and corporate distress and to significant global macroeconomic and financial spillovers from either type of distress when it originates in a systemic economy. Corporate distress in advanced economies has a larger impact on economic growth in emerging economies than bank distress in advanced economies has. In contrast, activity in advanced economies is more vulnerable to bank distress than to corporate distress.
We explore empirically how the time-varying allocation of credit across firms with heterogeneous credit quality matters for financial stability outcomes. Using firm-level data for 55 countries over 1991-2016, we show that the riskiness of credit allocation, captured by Greenwood and Hanson (2013)’s ISS indicator, helps predict downside risks to GDP growth and systemic banking crises, two to three years ahead. Our analysis indicates that the riskiness of credit allocation is both a measure of corporate vulnerability and of investor sentiment. Economic forecasters wrongly predict a positive association between the riskiness of credit allocation and future growth, suggesting a flawed expectations process.
A prolonged low-interest-rate environment presents a significant challenge to banks and is likely to entail major changes to their business models over the long-run. Lower returns to maturity transformation in the face of flatter yield curves and an inability to offer deposit rates significantly below zero combine to compress bank earnings in this environment. Smaller, deposit-funded, less diversified banks are hurt most, increasing consolidation pressures and reach-for-yield incentives, presenting new financial stability challenges.To the extent that such an economic environment reflects a new, steady-state with lower equilibrium growth driven by population aging and slower productivity growth, lower credit demand is likely to drive banking toward provision of fee-based, utility services.
We study the impact of the US quantitative easing (QE) on both the emerging and advanced economies, estimating a global vector error-correction model (GVECM) and conducting counterfactual analyses. We focus on the effects of reductions in the US term and corporate spreads. First, US QE measures reducing the US corporate spread appear to be more important than lowering the US term spread. Second, US QE measures might have prevented episodes of prolonged recession and deflation in the advanced economies. Third, the estimated effects on the emerging economies have been diverse but often larger than those recorded in the US and other advanced economies. The heterogeneous effects from US QE measures indicate unevenly distributed benefits and costs.
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