Does institutional quality enhance or weaken the effect of bank regulations and supervision on bank stability? We use a sample of around 1,050 commercial banks from 69 emerging and developing economies over the 2004-2013 period and show that the answer to this question depends on the type of institutional quality and on the type of bank regulation. Political stability strengthens the positive effect of capital regulation and activities restrictions on bank stability as measured by the z-score. Control of corruption also enhances the positive effect of activities restrictions on stability. On the other hand, the positive effect of capital regulation and private monitoring on stability subdues when good quality institutions that induce loan repayment, such as strong creditor rights and the rule of law, are present. Finally, we do not find strong evidence that the negative effect of supervisory power on bank stability is conditioned by institutional quality. In further analysis, we disaggregate the z-score measure and find that institutional quality conditions the effect of bank regulations on stability more by affecting profit stability and profitability rather than by influencing capitalisation. These findings could be useful for bank regulators in emerging and developing economies in the light of the implementation of the Basel III accord.
This paper examines the relationship between unconventional monetary policy and the US banking performance. Unconventional monetary policy is captured through the central bank's assets and excess reserves. Results show that unconventional monetary policy has a negative relationship with bank performance. Further analysis shows that the negative association between unconventional monetary policy and performance is mitigated for banks with a high level of asset diversification and low deposit funding. We also find that the negative relationship between unconventional monetary policy and performance subdues for deposit insured financial institutions. Finally, we use dynamic panel threshold analysis which reveals that the negative association between unconventional monetary policy and bank performance is particularly pronounced above the reported threshold value.
Using a conviction-based measure, we find that local (state-level) public corruption exerts a negative effect on the lending activity of US banks. Our baseline estimations show that the difference in public corruption between, for example, Alabama, where corruption is high, and Minnesota, where corruption is low, implies that banks headquartered in the former state grant 0.55% less credit (or $3.52 million for the average bank) ceteris paribus. Using proxies for relationship lending and monitoring, we also find that these bank characteristics weaken the negative effect of public corruption on lending. These results are robust to tests that address endogeneity, to the use of perception-based measures of corruption, and after controlling for credit demand conditions. In further analysis, we show that these effects are more evident for smaller banks and banks operating in a single state. These findings provide evidence that public corruption could facilitate information asymmetry in the lending market and, thus, could hinder local development by reducing bank credit.
This paper examines factors that affect the performance of investment banks in the G7 and Switzerland. In particular, we focus on the role of risk, liquidity and investment banking fees. Panel analysis shows that those variables significantly impact upon performance as derived from stochastic frontier analysis (SFA). Given our sample also comprises the financial crisis, we further test for regimes switches using dynamic panel threshold analysis. Results show different underlying regimes, in particular over the financial crisis. In addition, a strong positive effect of Z-Score on performance for banks in the regime of low default risk is reported, whilst fee-income ratio has also a positive impact for banks with low level of fees. On the other hand, liquidity exerts a negative impact. Notably, there is a clear trend of mobility of banks across the two identified threshold regimes with regards to risk a year before the financial crisis. Our results provide evidence that recent regulation reforms regarding capital adequacy and liquidity requirements are on the right track and could enhance performance.
This paper focuses on the impact of the corporate governance, using a plethora of measures, on the performance of the US investment banks over the 2000-2012 period. This time period offers a unique set of information, related to the credit crunch, that we model using a dynamic panel threshold analysis to reveal new insights into the relationship between corporate governance and bank performance. Results show that the board size asserts a negative effect on performance consistent with the 'agency cost' hypothesis, particularly for banks with board size higher than ten members. Threshold analysis reveals that in the post-crisis period most of investment banks opt for boards with less than ten members, aiming to decrease agency conflicts that large boards suffer from. We also find a negative association between the operational complexity and performance. Moreover, the CEO power asserts a positive effect on performance consistent with the 'stewardship' hypothesis. In addition, an increase in the bank ownership held by the board has a negative impact on performance for banks below a certain threshold. On the other hand, for banks with board ownership above the threshold value this effect turns positive, indicating an alignment between shareholders' and managers' incentives.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.