The dollars and sense of bank consolidation

For nearly two decades banks in the US have consolidated in record numbers – in terms of both frequency and the size of the merging institutions. Rhoades (1996) (S.A. Rhoades, 1996. Bank Mergers and Industrywide Structure, 1980–1994. Board of Governors of the Federal Reserve System, Staff Study 169) hypothesizes that the main motivations were increased potential for geographic expansion created by changes in state laws regulating branching and a more favorable antitrust climate. To look for evidence of economic incentives to exploit these improved opportunities for consolidation, we examine how consolidation affects expected profit, the riskiness of profit, profit efficiency, market value, market-value efficiencies, and the risk of insolvency. Our estimates of expected profit, profit risk, and profit efficiency are based on a structural model of leveraged portfolio production that was estimated for a sample of highest-level US bank holding companies by Hughes et al. (1996) (Hughes et al., 1996. Efficient banking under interstate branching, Journal of Money, Credit, and Banking 28, 1045–1071.) Here, we also estimate two additional measures that gauge efficiency in terms of the market values of assets and of equity. Our findings suggest that the economic benefits of consolidation are strongest for those banks engaged in interstate expansion and, in particular, interstate expansion that diversifies banks’ macroeconomic risk. Not only do these banks experience clear gains in their financial performance, but society also benefits from the enhanced bank safety that follows from this type of consolidation.     

The impact of network size on bank branch performance

Despite significant technological innovation in retail banking services delivery, the number of US bank branches has grown steadily over time. Further, more and more of these branches are held by banks with large branch networks. This paper assesses the implications of these developments by examining measures of branch performance and asking how these measure vary across institutions with different branch network sizes. Our findings suggest that banks with mid-sized branch networks may be at a competitive disadvantage in branching activities. We find no systematic relationship between branch network size and overall institutional profitability, perhaps because banking organizations optimize the size of their branch network operations as part of an overall strategy involving both branch-based and non-branch-based activities.     

Bank Growth Choices and Changes in Market Performance

Changes in bank market performance are compared for banks that choose not to grow, to branch, bank acquire, product expand, or some combination. Using the change in market value‐to‐book value ratios, banks that include acquiring other banks as part of their growth strategy have significant positive changes in performance. Positive performance by bank acquirers is in contrast to many studies, but prior research has not reviewed other growth activities in a single model, nor used market‐based measures to review performance over longer time periods following bank expansion.     

Does the stock market value bank diversification?

This paper investigates whether or not functionally diversified banks have a comparative advantage in terms of long-term performance/risk profile compared to their specialized competitors. To that end, this study uses market-based measures of return potential and bank risk. We calculate the franchise value over time of European banks as a measure of their long-run performance potential. In addition, we measure risk as both the systematic and the idiosyncratic risk components derived from a bank stock return model. Finally, we analyze the return/risk trade-off implied in different functional diversification strategies using a panel data analysis over the period 1989–2004. A higher share of non-interest income in total income affects banks’ franchise values positively. Diversification of revenue streams from distinct financial activities increases the systematic risk of banks while the effect on the idiosyncratic risk component is non-linear and predominantly downward-sloping. These findings have conflicting implications for different stakeholders, such as investors, bank shareholders, bank managers and bank supervisors.     

Does Branch Religiosity Influence Bank Risk‐Taking?

Using branch‐level data on public and private US banking institutions, we investigate the importance of branch religiosity in shaping bank risk‐taking behavior. Our results show robust evidence that branch religiosity is negatively related to bank risk‐taking. This effect persists after controlling for several bank‐level and county‐level variables that might correlate with religiosity. Moreover, this result is robust to controlling for headquarter religiosity, suggesting that the effect of branch religiosity is additive and not washed out by headquarter religiosity. Overall, our findings document that headquarter religiosity does not capture the full effect of religiosity on bank behavior, as claimed by previous research, but that the religiosity of the geographic area in which the bank operates significantly influences bank behavior.     

Funding liquidity and bank risk taking

This study examines the relationship between funding liquidity and bank risk taking. Using quarterly data for U.S. bank holding companies from 1986 to 2014, we find evidence that banks having lower funding liquidity risk as proxied by higher deposit ratios, take more risk. A reduction in banks’ funding liquidity risk increases bank risk as evidenced by higher risk-weighted assets, greater liquidity creation and lower Z-scores. However, our results show that bank size and capital buffers usually limit banks from taking more risk when they have lower funding liquidity risk. Moreover, during the Global Financial Crisis banks with lower funding liquidity risk took less risk. The findings of this study have implications for bank regulators advocating greater liquidity and capital requirements for banks under Basel III.     

Financial inclusion and bank profitability: Evidence from a developed market

Previous literature supports the view that financial inclusion leads to economic growth and helps alleviate poverty; however, it is still unclear whether financial inclusion increases bank profitability. Using a sample of 122 Japanese banks from 2004 to 2018, we investigate this question. We find that financial inclusion is important even in a developed economy; branch contraction reduces the profitability of Japanese banks, although the numbers of loan accounts and automated teller machines (ATMs) do not affect bank profitability. Among bank-specific variables, cost management, credit risk management, and bank size are the key drivers of profitability.     

An integrated macroprudential stress test of bank liquidity and solvency

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.     

Independence in bank governance structure: Empirical evidence of effects on bank risk and performance

We investigate how different governance arrangements affect risk and return in banks. Using a new data set for UK banks over the period 2003–2012, we employ a simultaneous equations framework to control for the reciprocal relationship between risk and return. We show that separation of the roles of CEO and Chairman increases bank risk without causing a concurrent increase in return. We also find that oversight by a Remuneration Committee and Non-Executive Directors (NEDs) lowers the probability of bank failure, indicating that empowering an independent Chairman has different effects from empowering independent NEDs. Overall, our results underline the importance of accounting for the heterogeneity in corporate governance arrangements within banks.     

机构集聚、风险传染与香港银行的系统性风险

本文研究作为银行金融机构集聚的香港国际金融中心,经受外部冲击后银行系统脆弱性的内生性及传染机理。本文把系统性风险的形成划分为共同冲击和相互传染两个过程,选取香港上市银行2006年到2011年的股价收益率为研究对象,分别研究中资、港资及外资三个组别的金融机构个体风险特征,运用分位数回归模型,通过测量香港银行体系的条件风险价值,判断香港银行的系统性风险,并分析影响香港银行体系脆弱性的外生性因素和内生性因素。结果表明,外资银行对共同冲击的抵抗能力较强,而港资银行的抵抗能力优于内地银行;金融机构间的传染和风险溢出效应会导致系统性风险的增加,而且不同规模银行对于系统性风险的溢出程度不一样,规模较大银行的溢出效应较为明显。     

Modeling Operational Risk With Bayesian Networks

Bayesian networks is an emerging tool for a wide range of risk management applications, one of which is the modeling of operational risk. This comes at a time when changes in the supervision of financial institutions have resulted in increased scrutiny on the risk management of banks and insurance companies, thus giving the industry an impetus to measure and manage operational risk. The more established methods for risk quantification are linear models such as time series models, econometric models, empirical actuarial models, and extreme value theory. Due to data limitations and complex interaction between operational risk variables, various nonlinear methods have been proposed, one of which is the focus of this article: Bayesian networks. Using an idealized example of a fictitious on line business, we construct a Bayesian network that models various risk factors and their combination into an overall loss distribution. Using this model, we show how established Bayesian network methodology can be applied to: (1) form posterior marginal distributions of variables based on evidence, (2) simulate scenarios, (3) update the parameters of the model using data, and (4) quantify in real‐time how well the model predictions compare to actual data. A specific example of Bayesian networks application to operational risk in an insurance setting is then suggested.     

Branching,scale economies,and banking costs

In this paper, we develop and estimate a model of bank costs based on a theory of the branch cost function. First, we show that convenient branch location is important to banking customers and implies that banks do not necessarily operate branches at minimum average cost. This theoretical result provides a rationale for including branch variables in the bank cost function. Second, we estimate a statistical cost equation derived explicitly from assumptions about the branch cost function and including branch output variables. Our empirical results suggest substantial economies of scale at the branch level, but no economies from expansion by branching. Finally, we show that the resulting cost structure of the banking industry does not imply that a highly concentrated banking structure is necessary for efficiency. Thus, economies of scale would not be expected to force small banks out of the market, even if current restrictions on interstate banking are liberalized.     

Institutional development and bank stability: Evidence from transition countries

This paper takes advantage of the dynamic nature of institutional reforms in transition economies and explores the causal effects of those reforms on bank risk. Using a difference-in-difference approach, we show that banks’ financial stability increases substantially after these countries reform their legal institutions, liberalize banking, and restructure corporate governance. We also find that the effects of legal and governance reforms on bank risk may critically depend on the progress of banking reforms. A further examination of alternative risk measures reveals that the increases in financial stability among banks mainly come from the reduction of asset risk. Banks tend to have lower ROA volatility and fewer nonperforming loans after reforming the institutional environment. Finally, we split our sample into foreign and domestic banks and find that the enhancement of financial stability is more pronounced for domestic banks.     

Commercial bank mutual fund activities: Implications for bank risk and profitability

This paper examines the risk structure of bank holding companies and the effect of mutual fund activities on bank risk and profitability over the period 1987–1994. Findings from structural change tests indicate a significant decline in bank risk occurred near the mid-point of the study. Results from a confirmatory factor analytic model employed to examine the impact of mutual fund activities on banks suggest that mutual fund activities moderated bank industry systematic risk during the sample period. Mutual fund activities also increased the profitability of banks. These results suggest that mutual funds represent a productive avenue of expansion for bank holding companies.     

Earnings versus capital ratios management: role of bank types and SFAS 114

We document in this paper that large banks use Loan Loss Provisions (LLP) more than small banks to manage reported earnings, but we find no significant difference in the use of LLP to manage capital ratios between large and small banks. Additionally, we document that banks with high risk asset portfolios use more LLP to manage reported earnings as well as capital ratios compared to the banks with low risk asset portfolios. Our findings also show that SFAS 114 has a moderating effect on the use of LLP to manage reported earnings, especially by large banks, but there is no conclusive evidence on the impact of SFAS 114 to manage capital ratios. Furthermore, the findings show that there has been significantly more earnings management during the 2007–2008 financial crisis compared to earlier periods.     

Capital regulation and bank risk‐taking – new global evidence

This study investigates the link between capital regulation and bank risk‐taking. Using a sample of over 1,800 banks in 135 countries, I find that the relationship between capital regulation and bank risk‐taking (measured by z‐score) is an inverse ‘U’ shape. That is, as capital ratios increase, a bank will take less risk initially, then more risk. These results are robust to numerous additional tests, including estimation methods. I also find that more stringent regulations mitigate the effect of higher capital on lowering bank risk‐taking. Increased capital requirements, even when risk‐based, induce risk‐taking at higher levels, irrespective of whether banks are well‐ or under‐capitalised.     

Capital ratios and bank lending: A matched bank approach

This paper examines the impact of bank capital ratios on bank lending by comparing differences in loan growth to differences in capital ratios at sets of banks that are matched based on geographic area as well as size and various business characteristics. We argue that such comparisons are most effective at controlling for local loan demand and other environmental factors. For comparison we also control for local factors using MSA fixed effects. We find, based on data from 2001 to 2011, that the relationship between capital ratios and bank lending was significant during and shortly following the recent financial crisis but not at other times. We find that the relationship between capital ratios and loan growth is stronger for banks where loans are contracting than where loans are expanding. We also show that the elasticity of bank lending with respect to capital ratios is higher when capital ratios are relatively low, suggesting that the effect of capital ratio on bank lending is nonlinear. In addition, we present findings on the relationship between bank capital and lending by bank size and loan type.     

Financial constraints of private firms and bank lending behavior

We investigate whether and how financial constraints of private firms depend on bank lending behavior. Bank lending behavior, especially its scale, scope and timing, is largely driven by bank business models which differ between privately owned and state-owned banks. Using a unique dataset on private small and medium-sized enterprises (SMEs) we find that an increase in relative borrowings from local state-owned banks significantly reduces firms’ financial constraints, while there is no such effect for privately owned banks. Improved credit availability and private information production are the main channels that explain our result. We also show that the lending behavior of local state-owned banks can be sustainable because it is less cyclical and neither leads to more risk taking nor underperformance.     

Effects of securitization and covered bonds on bank stability

This paper empirically investigates the relationship of securitization and covered bonds with bank stability and highlights that this relationship varies with the level of a bank's involvement in a specific instrument. The study uses the data from 46 securitizing and covered bond issuing listed banks in Europe for 2000–2014. The initial results show that some banks have been heavily involved in securitization activity, while covered bond issuance does not go beyond a certain limit. The results obtained using a quadratic model and a generalized additive model show a U-shaped relationship between securitization and systemic risk of banks. However, some interesting results are obtained for covered bonds. Initial results do not show a significant impact of covered bonds on systemic risk, but further analysis shows the presence of a size effect. The systemic risk of smaller banks increases after the issuance of covered bonds, while larger banks remain unaffected. The study does not support imposing uniform limits on covered bond issuance; rather such limits should be linked to the bank size. However, some regulatory framework is needed to limit banks’ involvement in securitization.     

Ownership concentration and bank risk: international study on acquisitions

This paper explores the effects of different types of bank ownership concentration on changes in bank risk during acquisition years. Using multi-country data from 2000 to 2006, during which market failures caused by various crises and government interventions are less influential to acquisition decisions, we collect 505 banking acquisition deals from 23 countries to examine which type of ownership concentration (such as financial intermediary, capital investor, non-financial, and state ownership) brings larger changes to an acquirer’s risk from pre-acquisition year to post-acquisition year (including non-performing loans, capital adequacy ratio, loan loss reserve, and credit rating). The empirical analyses show that acquirer banks with a concentration of shares owned by financial intermediaries and non-financial firms experience larger risk changes during acquisition years. In contrast, the risk changes of acquirer banks with a concentration of capital investors and state ownership are lower. Robustness checks from the random effect estimation, instrumental variables model, reverse causality, and different subsamples of (non-)U.S. or different levels of regulation enforcement confirm these results.