Journal of Financial Stability最新文献

We develop a dynamic framework to study banks’ incentives to take excessive risk in an emerging economy, where bank default probability and excess bank risk-taking are modeled endogenously. We calibrate it for the 1998 Peruvian economy. We find that the infinite-period feature amplifies banks’ incentives to take excessive risk. When we simulate the sudden stop that hit Peru in 1998, the model accurately predicts the substantial short-term rise in the non-performing loans ratio through the rise of the bank default probability.

Financial institutions, especially in Europe, hold a disproportionate amount of domestic sovereign debt. We examine the extent to which this home bias leads to capital misallocation in a real business cycle model with imperfect information and fiscal stress. We assume banks can hold sovereign debt according to a zero-risk weight policy and contrast this scenario to one in which banks weight the sovereign debt according to default probabilities. Banks are assumed to miscalculate the probability of a disaster state due to moral hazard and imperfect monitoring. This distortion pushes the economy away from the first-best allocation. We show that the zero risk weight policy exacerbates these distortions while a non-zero risk-weight improves allocations. The welfare costs associated with zero-risk weight policies are large. Households are willing to give up 3.2 percent of their consumption to move to the first-best allocation, whereas in the economy with non-zero risk-weights households are willing to give up only 1.2 percent of their consumption to move to the first-best allocation.

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 empirical study investigates whether a strong bank culture may help strengthen, weaken, or have no effect on the relationship between regulatory capital and liquidity creation. Using a machine learning approach and banks’ 10-K reports, we first measure the corporate culture of selected bank holding companies (BHCs) in the United State (U.S.) over the period between 1995 and 2019. We find that bank culture does affect the link between regulatory capital and liquidity creation. In particular, while we find that regulatory capital has a negative impact on bank liquidity creation, a strong culture in a bank weakens this negative association. We also find that an increase in asset-side liquidity creation is the main channel through which bank culture exerts its moderating role. Finally, our results are largely driven by smaller banks, banks with a more traditional funding structure and more profitable banks. The results of this study suggest that regulators should consider bank culture as being a crucial element in the monitoring approach when designing bank regulation and supervision.

In this paper, we investigate the real effects of special taxation on banks. We provide evidence that the introduction of a new fiscal levy on banks significantly impairs their performance and has an adverse impact on the real economy through the lending channel. Using micro-level data on lending relationships, we identify the credit supply shock related with a bank tax controlling for loan demand factors. We compute a firm-specific measure of firm exposure to burdened credit institutions. We find a negative impact of the tax shock on investment and output. Our results are important from a policy perspective as they shed light on the economic consequences of double taxation on banks.

This paper explores the impact of political connections on zombie business in the presence of massive economic stimulus. Although a stimulus plan may substantially ease financial constraints for a politically connected firm, it distorts the firm’s decision regarding market exit. Exploiting China’s 2008 stimulus package as a semi natural experiment, we show that a firm with political connections is more likely to become a zombie following such stimulus measures. Further analysis indicates that the zombification impact of the stimulus plan is more pronounced for the firms operating in the key industries targeted by the stimulus package.

In this study, we estimate a Bayesian global vector autoregressive model to uncover the effects of financial stress on output growth, inflation, and interest rates, accounting for several advanced and emerging economies for a period spanning from February 2008 until May 2022. We construct a financial stress index applicable to all countries, tracking periods of financial instability in the economies, and employ shadow short rates as a proxy measure of unconventional monetary policy. This study provides strong evidence that financial stress shocks are transmitted abroad as financial stress increases in all the countries in the sample. Our results also show that financial stress innovation generates important domestic and cross-border output, inflation, and interest rate spillovers for several countries. Additionally, we identify the active role of the financial and bank credit channels in the transmission of shocks across financial systems, while macroprudential policy can intercept the propagation of the shock. Our results carry policy implications for monetary and regulatory authorities.

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 compares three methods for assessing the contagion of risk among ten Globally Significant International Banks, known as GSIBs, listed on the New York Stock Exchange with daily and weekly data sets from 2007 to 2020, based on Machine Learning and Network Analysis. In particular we identify the banks which are the largest net sources or transmitters of risk, and net receptors of risk. We also examine the response of regulatory actions, in the form of fines and BIS Bin Classification for capital adequacy.

Under alternative risk measures, of Range Volatility (RV) of share prices, Credit Default Swap (CDS) premia, and Conditional Value at Risk ($\Delta$CoVar), there is a stronger and significant connection between Contagion and the BIS Bin classifications relative to the connections between Contagion and banking fines, either in the amount or frequency of the fines. These results show that BIS bin classifications respond positively to underlying signals of increased contagion in the form of Range Volatility (RV) and $\Delta$CoVar measures but not to CDS risk premia.

Using a recent global sample, this paper estimates the effect of cryptocurrency usage on tax revenue collections. We hypothesize that greater cryptocurrency use undermines tax collections, and this result generally holds across overall tax collections, VAT revenues, and GST revenues. The other contribution lies in dissecting the direct and indirect channels of cryptocurrency use on tax collections. Results show that greater cryptocurrency usage reduces tax collections. Furthermore, larger government sizes increase tax collections, while the COVID-19 pandemic undermined tax collections. Finally, significant differences were found in the direct and indirect effects. The main results withstand a number of robustness checks.