Knowledge that Transforms

Charge-offs provide critical insights into the risk level of loan portfolios within the banking system, signaling potential systemic risks that could lead to deep recessions. Utilizing consolidated financial statements, we have compiled the net charge-off rate (COR) data from the 10 largest U.S. bank holding companies (BHCs) for disaggregated loans, including business loans, real estate loans, and consumer loans, as well as the average COR for each loan category among these top 10 banks. We propose factor-augmented forecasting models for CORs that incorporate latent common factor estimates, including targeted factors, via an array of data dimensionality reduction methods for a large panel of macroeconomic predictors. Our models have demonstrated superior performance compared with benchmark forecasting models, particularly well for business loan and real estate loan CORs, while predicting consumer loan CORs remains challenging especially at short horizons. Notably, real activity factors improve the out-of-sample predictability over the benchmarks for business loan CORs even when financial sector factors are excluded.

We study the impact of higher capital buffers on bank lending and risk-taking behaviour, at different time horizons following the initial policy decision. Employing a regression discontinuity design and confidential centralised supervisory data for euro area banks from 2014 to 2017, our research uniquely explores the effects of the EU policy on other systemically important institutions (O-SIIs) through a quasi-randomised experiment, exploiting the induced policy change and discontinuity of the O-SII identification process. Our findings show that the introduction of the O-SII buffers resulted in a short-term reduction in credit supply to households and financial sector, followed by a medium-term shift towards less risky borrowers, particularly in the household sector. We find a temporary cut in loan growth post-capital hikes, succeeded by a rebound in the medium-term. Our results substantiate the hypothesis that higher capital buffers can positively discipline banks by reducing risk-taking in the medium-term. At the same time, evidence suggests a limited adverse impact on the real economy, characterised by a temporary reduction in credit supply restricted to instances of macroprudential policy tightening.

This paper investigates the crucial role of capital controls in maintaining macroeconomic stability in China. We develop an open macroeconomic model integrating capital controls within a managed floating exchange rate system. Our model shows that capital controls enhance the effectiveness of foreign exchange interventions by restricting capital outflows and providing a broader array of policy options, though they may also create discrepancies between domestic and foreign asset holdings. Simulations using quarterly time-series data reveal that capital controls are essential for the success of both sterilized and non-sterilized interventions. These results indicate that the combined use of capital controls and foreign exchange interventions can reduce macroeconomic volatility in China. Moreover, our analysis of fixed versus floating exchange rate regimes suggests that an inappropriate regime choice can increase volatility in capital flows. Therefore, China should adopt a balanced financial approach within its managed floating system to stabilize the macroeconomy.

We employ the green revenue factors of firms, used in the computation of the FTSE Russell 1000 Green Revenues index to create corresponding green-adjusted share prices. We compute the firm betas, under both the standard and the green-adjusted share pricing. Our findings suggest that tilting of firm stock returns towards green finance could change temporarily asset pricing views. The Fama-French risk factors display very high correlations between the two settings. Nevertheless, there are some significant differences between standard and green-adjusted betas during periods associated with green activism and positive political decisions of financially supporting the global climate action. • Employ green revenues as measured by FTSE Russell. • Construct green revenues adjusted share prices. • Compare betas for green and standard investors. • Differences in asset pricing for green investors only temporary. • Fama-French factors for green versus standard highly correlated.

This study explores the relationship between sovereign credit risk, banking fragility, and global financial factors in a large panel database of emerging market economies. To measure banking fragility, we construct a novel model-based semi-parametric metric (JLoss) that computes the expected joint loss of the banking sector in each country conditional on a country-level systemic event. Our metric of banking fragility is positively associated with sovereign credit spreads, after controlling for the standard determinants of sovereign credit risk, a comprehensive set of measures of systemic risk, and country and time fixed effects. The results additionally indicate that countries with more fragile banking sectors are more exposed to global (exogenous) financial factors than those with more resilient banking sectors. These findings underscore that regulators must ensure the stability of the banking sector to improve governments’ borrowing costs in international debt markets.

This study examines whether and how the quality of manager-investor interactions in customer firms’ online earnings communication conferences affects supplier firms’ cash holdings. We find that customer management’s irrelevant answers, measuring the lack of documented interaction quality, are positively associated with suppliers’ cash holdings. This association is robust to controlling for standard cash holdings determinants and endogeneity. We also find that the effect of irrelevant answers works through signifying the firm’s adverse future business conditions and prospects. Moreover, this effect is more pronounced when suppliers are non-state-owned, more financially constrained, or in a lower concentration industry.

We design a model with banks of unequal size operating subject to liquidity requirements in an imperfectly-competitive deposit market. We show that large banks have stronger incentives than small ones to lobby in order to relax the liquidity requirements unless they bear significantly higher lobbying costs. Therefore, lobbying magnifies asymmetries between banks. Furthermore, we establish that the organization of influence activities matters. An industry-wide bank association for lobbying to relax the liquidity requirements suffers from an internal conflict of interest and cannot simultaneously benefit both large and small banks if these have identical lobbying cost functions.

This paper provides evidence that central banks’ purchase programmes of corporate bonds in the aftermath of market stress foster risk-taking by bond funds. Using the COVID-19 shock as a laboratory, we show that funds more exposed to pandemic-related asset purchase programmes took on more credit and liquidity risks than less exposed ones during 2020, generating higher returns and attracting more inflows. More exposed funds increased their risk-taking buying assets not eligible for central banks’ interventions, particularly when they under-performed their peers or held less liquid assets. These results suggest that asset purchase programmes affected risk-taking by reducing liquidation costs and, thus, lowering the risk of run by fund investors. We discuss the implications for the transmission of policy interventions during periods of market stress and the regulation of the investment fund sector.

This paper quantifies the Too-Systemic-To-Fail (TSTF) paradigm in the Eurozone since the introduction of the Euro through three primary dimensions: Too-Big-To-Fail (TBTF), Too-Interconnected-To-Fail (TITF), and Too-Many-To-Fail (TMTF). We apply prominent systemic risk measures based on public data, including the Granger-causality network (GCN), Delta Conditional Value-at-Risk (ΔCoVaR), Marginal Expected Shortfall (MES), and Systemic Risk Index (SRISK). Financial interconnectedness and systemic risk exposure within the 17-member states of the Eurozone are measured on two levels: (i) identifying which financial sectors (banking, diversified financials, insurance, and real estate) are most exposed to systemic risk in the Eurozone at the union level; and (ii) identifying which member state is most exposed to systemic risk within each financial sector at the country level. We extend the original ΔCoVaR, MES and SRISK models by incorporating the bootstrap Kolmogorov-Smirnov stochastic dominance test to rank institutions based on their exposure to systemic risk formally.

Increasing accounting information comparability (AIC) theoretically facilitates investors’ analysis of firm performance and improves stock price informativeness by incorporating more firm-specific information. However, achieving the purported purpose empirically is subject to firms’ institutional environment and corporate governance. We propose that under weak legal systems and less developed market environments, higher AIC may adversely affect price informativeness due to managers’ incentives and ability to obfuscate information and investors’ “hallo” effect. Using a large sample from China, we show that the AIC is positively related to price synchronicity, an inverse measure of price informativeness. Additionally, the positive impact is significantly greater for firms located in regions with weak legal systems and less developed market environments. The positive relation is also significantly greater when the business environment and economic policy uncertainties are high.