Knowledge that Transforms

In this paper, we gauge the degree of interconnectedness and quantify the linkages between global and other systemically important institutions, and the global financial system. We document that the two groups and the financial system become more interconnected during the global financial crisis when linkages across groups grow. In contrast, during tranquil times linkages within groups prevail. Global systemically important banks (G-SIBs) contribute most to system-wide distress but are also most exposed. There are more links coming from G-SIBs to other systemically important institutions (O-SIIs) than the other way around, confirming the role of G-SIBs as major risk transmitters in the financial system. The two groups and the global financial system tend to co-vary for periods up to 60 days Prior to their official designation as G-SIBs or O-SIIs, the prevalent news sentiment about these institutions (we measure with a textual analysis) was negative. Importantly, the systemic importance and exposure of G-SIBs and O-SIIs is perceived differently by the Financial Stability Board (FSB) and the European Banking Authority (EBA).

This paper investigates the impact of macro-prudential policy (proxied by the counter-cyclical capital buffer (CCyB)) on bank credit risk during uncertain times, as banking sector stability is crucial in promoting financial intermediation. Using a unique daily data set consisting of 4939 credit default swaps (CDS) of 70 banks from 25 countries over the period 2010–2019, we find that CCyB tightening decreases bank-level CDS spreads, while CCyB loosening increases CDS spreads. This heterogeneous effect of CCyB arises due to its asymmetric effect on the capital ratio (i.e., the equity-to-total assets ratio) of banks. Tightening CCyB significantly increases capital, whereas loosening CCyB does not impact capital. Thus, the risks that emanate from the banking sector during periods of heightened uncertainty and financial distress can be significantly dampened when CCyB regulation is enabled. Consequently, macro-prudential policies for banks to hold higher levels of capital during good times are justified to contain financial market risks during downturns.

We examine how community banks respond to liquidity shocks created by natural disasters. We address community banks’ responses to liquidity shocks due to their focused geographic and economic presence, which coincide with their communities’ exposure to the disasters and the ability of the local banks to meet their needs. We find that community banks respond to liquidity shocks by managing their balance sheet, rather than any single balance sheet account. In particular, we find that they respond to the liquidity needs of their communities by increasing loans as deposits are withdrawn.

In addition to tail macroeconomic events (e.g. wars, financial crises and pandemics), climate change poses a threat to financial stability — with extreme climatic events increasing in frequency and intensity and policy risks putting pressure on asset valuations. We study the effect of a changing climate on asset prices and interest rates through the lens of a dynamic CAPM with rare disasters, time-varying risk and recursive preferences. In our model, a changing climate makes tail events more frequent and less predictable, increasing the premium of climate risk; interestingly, this change may not be fully reflected in the overall market risk premium that includes both components of risk: macroeconomic and environmental. Our results also support the hypothesis of a declining real rate of interest as the planet warms, while the increasing risk of climate policy reduces the participation of brown assets in the market portfolio.

We exploit an exogenous change in the coverage of insured deposits following the passage of the Emergency Economic Stabilization Act (2008) to investigate the impact of deposit insurance on the volume, composition and quality of credit union lending. Using a difference-in-difference approach, we find changes in the volume, composition and riskiness of credit union lending. Specifically, we find that affected credit unions increase total and unsecured lending, leading to a decline in loan quality. Overall, our results suggest that an increase in the maximum coverage of insured deposits induces credit unions to lend more at the expense of loan quality.

We study the economics- and finance-scholars’ reaction to the 2008 financial crisis using machine learning language analyses methods of Latent Dirichlet Allocation and dynamic topic modelling algorithms, to analyze the texts of 14,270 NBER working papers covering the 1999–2016 period. We find that academic scholars as a group were insufficiently engaged in crises’ studies before 2008. As the crisis unraveled, however, they switched their focus to studying the crisis, its causes, and consequences. Thus, the scholars were “slow-to-see,” but they were “fast-to-act.” Their initial response to the ongoing Covid-19 crisis is consistent with these conclusions.

The financial stability of the eurozone depends on its macroeconomic stability and vice versa. We construct a macro DSGE model of the eurozone and its two main regions, the North and the South, with the aim of matching the macro facts of these economies by indirect inference and using the resulting empirically-based model to assess possible new policy regimes that could maintain financial stability. The model we have found to fit the facts suggests that substantial gains in stability and consumer welfare are possible if the fiscal authority in each region is given the freedom to respond to its own economic situation. Further gains could come with the restoration of monetary independence to the two regions, in effect creating a second ‘southern euro’ bloc. Enhanced fiscal flexibility increases fluctuations in debt and deficit ratios to GDP while keeping average ratios stable, maintaining solvency. A reformed Stability and Growth Pact could be limited to monitoring solvency.

We discuss the implications on banks and the economy of prudential regulatory intervention to soften the treatment of non-performing exposures (NPEs) and ease bank capital buffers. We apply these easing measures on a sample of Globally Systemically Important Banks (G-SIBs) and show that these banks can play a constructive role in sustaining economic growth during the COVID-19 pandemic. In addition, an empirical analysis shows that prudential regulatory responses to COVID-19 along with high regulatory capital and low non-performing loans ratios are positively associated with economic growth. Thus, banks should maintain high capital ratios in the medium-term horizon to absorb future losses, as the effect of COVID-19 on the economy might take time to fully materialize.

Relying on a hand-collected data set of European asset securitizations, we analyze risk retention, a key regulatory reform requirement after the global financial crisis. We find today’s ABS markets to be characterized by significant retention opacity, caused by differences in legal retention options and retained portions. To improve the transparency of effective, rather than nominal, risk retention in the market, we propose a new, simple metric that captures the share of expected loss retained by the issuer. As to policy conclusions, we suggest to change the existing regulation by dropping the mandatory minimum retention and replacing it with a requirement for full transparency about effective risk retention.

We propose a new measure of systemic financial distress that incorporates idiosyncratic and systemic risks in the financial system network. Using this measure, we develop an integrated stress test of bank liquidity and solvency risks based on the dynamics of financial distress within the banking system network. We apply this stress test framework to the US banking system and identify systemic vulnerability of individual banks as well as the resilience of the system as a whole to an economic shock. The framework helps us identify and monitor systemic interdependencies between banks. The proposed stress testing framework is useful for practical macroprudential monitoring and is informative for policy making.