Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis

This paper compares the productivity and efficiency of large banks and community banks in the United States over the period 1997–2006. This comparison is performed by estimating a true random effects stochastic distance frontier model—a model that is capable of disentangling unobserved heterogeneity from inefficiency—within a Bayesian framework. We find that failure to consider unobserved heterogeneity results in a misleading ranking of banks and mismeasured technical efficiency, productivity growth, and returns to scale. Our results show that, compared with community banks, large banks have experienced much higher productivity growth and higher levels of returns to scale. Our estimates of total factor productivity growth show a clear downward trend for both large and community banks, and our decomposition of the output-distance-function-based Divisia productivity index indicates that technical change is the driving force behind this trend.     

Bank income structure and risk: An empirical analysis of European banks

The purpose of this paper is to investigate the relationship between bank risk and product diversification in the changing structure of the European banking industry. Based on a broad set of European banks for the period 1996–2002, our study first shows that banks expanding into non-interest income activities present higher risk and higher insolvency risk than banks which mainly supply loans. However, considering size effects and splitting non-interest activities into both trading activities and commission and fee activities we show that the positive link with risk is mostly accurate for small banks and essentially driven by commission and fee activities. A higher share of trading activities is never associated with higher risk and for small banks it implies, in some cases, lower asset and default risks.     

A stochastic frontier approach to modelling financial constraints in firms: An application to India

We propose the use of stochastic frontier approach to modelling financial constraints of firms. The main advantage of the stochastic frontier approach over the stylised approaches that use pooled OLS or fixed effects panel regression models is that we can not only decide whether or not the average firm is financially constrained, but also estimate a measure of the degree of the constraint for each firm and for each time period, and also the marginal impact of firm characteristics on this measure. We then apply the stochastic frontier approach to a panel of Indian manufacturing firms, for the 1997–2006 period. In our application, we highlight and discuss the aforementioned advantages, while also demonstrating that the stochastic frontier approach generates regression estimates that are consistent with the stylised intuition found in the literature on financial constraint and the wider literature on the Indian credit/capital market.     

Financial freedom and bank efficiency: Evidence from the European Union

This paper investigates the dynamics between the financial freedom counterparts of the economic freedom index drawn from the Heritage Foundation database and bank efficiency levels. We rely on a large sample of commercial banks operating in the 27 European Union member states over the 2000s. After estimating bank-specific efficiency scores using Data Envelopment Analysis (DEA), we develop a truncated regression model combined with bootstrapped confidence intervals to test our main hypotheses. Results suggest that the higher the degree of an economy’s financial freedom, the higher the benefits for banks in terms of cost advantages and overall efficiency. Our results also show that the effects of financial freedom on bank efficiency tend to be more pronounced in countries with freer political systems in which governments formulate and implement sound policies and higher quality governance.     

Shareholder value efficiency in European banking

This paper advances the studies of [Hughes, J.P., Lang W.W., Mester L.J., Moon C.G., Pagano M.S., 2003. Do bankers sacrifice value to build empires? Managerial incentives, industry consolidation, and financial performance. Journal of Banking and Finance 27, 417–447] by developing a new measure of bank performance which we refer to as “shareholder value efficiency” – a bank producing the maximum possible Economic Value Added (EVA), given particular inputs and outputs, is defined as “shareholder value efficient”. This new efficiency measure is estimated using the stochastic frontier method focussing on the French, German, Italian and UK banking systems over the period 1997–2002 and includes both listed and non-listed banks. We find that European banks are, on average, 36% shareholder value inefficient. Shareholder value efficiency is found to be the most important factor explaining value creation in European banking, whereas cost and profit efficiency only have a marginal influence.     

Nonparametric efficiency estimation in stochastic environments: Noise-to-signal estimation,finite sample performance and hypothesis testing

This study considers the issues of noise-to-signal estimation, finite sample performance and hypothesis testing for a new nonparametric and stochastic efficiency estimation technique. We apply the technique for analyzing the efficiency of European banks from various regions and with various specializations. The technique seems well suited for this application area because banking inputs and outputs generally are measured with error, the banking production technology is not well-defined and large banking data sets such as BankScope allow for a nonparametric approach.     

Ownership structure,risk and performance in the European banking industry

We compare the performance and risk of a sample of 181 large banks from 15 European countries over the 1999–2004 period and evaluate the impact of alternative ownership models, together with the degree of ownership concentration, on their profitability, cost efficiency and risk. Three main results emerge. First, after controlling for bank characteristics, country and time effects, mutual banks and government-owned banks exhibit a lower profitability than privately owned banks, in spite of their lower costs. Second, public sector banks have poorer loan quality and higher insolvency risk than other types of banks while mutual banks have better loan quality and lower asset risk than both private and public sector banks. Finally, while ownership concentration does not significantly affect a bank’s profitability, a higher ownership concentration is associated with better loan quality, lower asset risk and lower insolvency risk. These differences, along with differences in asset composition and funding mix, indicate a different financial intermediation model for the different ownership forms.     

Diversification and the cost of debt of bank holding companies

In this study, we investigate the relationship between various dimensions of diversification and the cost of debt for publicly traded bank holding companies (BHCs). We find that both domestic geographic diversification of deposits and diversification of assets lead to a lower bond yield-spread. Diversification of non-traditional banking activities leads to a lower cost of debt only when yield-spread and diversification are estimated simultaneously. In addition, we find that medium-sized BHCs experience a greater reduction in bond yield-spread than small-sized and large-sized BHCs. This is consistent with the too-big-to-fail (TBTF) effects in the banking industry. Furthermore, we document that the association between diversification and yield-spread is bidirectional with higher yield-spreads being associated with greater asset and activity diversification and lower geographic deposit dispersion. The effect of diversification on bond yield-spread is robust after accounting for cross-sectional and serial correlation, and the endogeneity of diversification.     

Ownership structure, market discipline, and banks’ risk-taking incentives under deposit insurance

The paper studies the effects of market discipline by creditors and ownership structure on banks’ risk taking in the presence of partial deposit insurance. An agency-cost model explains how the effects of creditor discipline and shareholder control are interdependent, the non-monotonic effect of shareholder control, and the role of leverage. Panel regressions on several hundred banks worldwide 1995-2005 confirm a negative individual risk effect of creditor discipline and the expected convex effect of shareholder control. Increased shareholder control significantly strengthens the negative effect of market discipline on asset risk, but joint effects on overall default risk are limited.     

Recovery rates of commercial lending: Empirical evidence for German companies

There are very few studies concerning the recovery rate of bank loans. Prediction models of recovery rates are increasing in importance because of the Basel II-framework, the impact on credit risk management, and the calculation of loan rates. In this study, we focus the analyses on the distribution of recovery rates and the impact of the quota of collateral, the creditworthiness of the borrower, the size of the company and the intensity of the client relationship on the recovery rate. All our hypotheses can be confirmed. A higher quota of collateral leads to a higher recovery rate, whereas the risk premium of the borrower and the size of the company is negatively related to the recovery rate. Borrowers with an intense client relationship with the bank exhibit a higher recovery rate.     

Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches

This paper analyzes the productivity and efficiency of Shinkin banks and the various prefectures in Japan, over the period from 2000 to 2006. We obtain estimates of efficiency growth and productivity growth, using the bootstrapped Malmquist index, and estimates of efficiency using the Bayesian distance frontier approach. We confirm that the efficiency growth and productivity growth of Shinkin banks did not improve significantly over the period of this study. In addition, we show that the efficiency of Shinkin banks is homogenous, with little variation across the banks analyzed. Methodologically, we also prove that a failure to impose theoretical regularity on the distance function could lead to false conclusions about the average efficiency or efficiency ranking of Shinkin banks. The study also includes an analysis of the correlates of productivity and efficiency growth, and provides efficiency and productivity estimates of the prefectures in which the banks are located.     

Financial supervision regimes and bank efficiency: International evidence

There exists a lively debate as for the appropriate architecture of the financial supervision regime, with a long list of theoretical advantages and disadvantages associated with each one of its key dimensions. The present study investigates whether and how bank profit efficiency is influenced by the central bank’s involvement in financial supervision, the unification of financial authorities, and the independence of the central bank. The results show that efficiency decreases as the number of the financial sectors that are supervised by the central bank increases. Additionally, banks operating in countries with greater unification of supervisory authorities are less profit efficient. Finally, central bank independence has a negative impact on bank profit efficiency.     

Forecasting the fragility of the banking and insurance sectors

Linkages between banks and insurance companies are important when forecasting the fragility of the banking and insurance sectors. We propose a novel empirical framework that allows us to estimate unobserved linkages in panel data sets that contain observed regressors. We find that taking unobserved common factors into account reduces the root mean square forecasts error of firm specific forecasts by up to 9%, of system forecasts by up to 14%, and by up to 39% for systemic forecasts of more distressed firms relative to a model based on observed variables only. Estimates of the factor loadings suggest that the correlation of financial institutions has been relatively stable over the forecast period.     

A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries

This study investigates the role of risk in determining the cost efficiency of international banks in eight emerging Asian countries. Researchers of this paper consider three distinct risk aspects under a total of eight risk measures: credit risk, operational risk, and market risk. We apply a heteroscedastic stochastic frontier model to estimate bank cost efficiency in our analysis. Additionally, this study analyzes the marginal effects of all risk measures on the inefficiency effect in order to explore a more detailed relationship between risks and efficiency. The empirical results indicate that the risk measures represent significant effects on both the level and variability of bank efficiency. We also find that these effects vary across countries and over time.     

A geographically weighted approach to measuring efficiency in panel data: The case of US saving banks

This paper discusses a new approach to controlling for the environment when estimating efficiency. In response to the literature on the international comparison of bank efficiency, we draw the attention to a local dimension of comparison. By introducing geographical weights and estimating local frontiers for each US savings bank in the 2001–09 period, we find that the bank technical performance is higher for most banks in comparison to a fixed-effects approach. This result highlights the importance of taking into account the local environment and constraints while analyzing banks’ performance, so as not to consider the factors that are exogenous to these institutions as inefficiencies. Further analysis could improve the weighs calculation by employing other measures of interconnectedness besides geographical distance.     

First Financial Restructuring and operating efficiency: Evidence from Taiwanese commercial banks

This paper investigates the effect of the “First Financial Restructuring” (FFR) on the operating efficiency of commercial banks in Taiwan. Applying data envelopment analysis (DEA) to operations data for 40 commercial banks over the 6-year period 2000–2005, we find that while the banks have lower operating efficiency on average during the reform period (2002–2003) compared to the pre-reform period (2000–2001), improved operating efficiency is reflected in the post-reform period (2004–2005). Our results remain unchanged even after controlling for the non-performing loan ratio, capital adequacy ratio, bank ownership, size, and GDP growth rate. These results suggest that the improved efficiency in the post-reform period is possibly due to enhanced banking and risk management practices and benefits obtained from compliance with the FFR.     

Size and earnings volatility of US bank holding companies

We examine whether bank earnings volatility depends on bank size. Using quarterly data for bank holding companies in the United States for the period 1995Q1–2010Q3 and controlling for the quality of management, leverage, and diversification, we find that bank size reduces return volatility. However, the effect is non-linear: when bank size exceeds a certain threshold (about US$5 billion) size is positively related to earnings volatility. The recent financial crisis decreased the threshold beyond which the impact of size on volatility turns positive.     

Overnight information and stochastic volatility: A study of European and US stock exchanges

This paper provides a comprehensive evaluation of the predictive ability of information accumulated during nontrading hours for a set of European and US stock indexes. We introduce a stochastic volatility model, which conditions on lagged overnight information, distinguishes between the nontrading periods of weeknights, weekends, holidays and long weekends, and allows for an asymmetric leverage effect on the impact of overnight news. We implement Bayesian methods for estimation and ranking of the empirical models, and find two key results: (i) there is substantial predictive ability in financial information accumulated during nontrading hours; and (ii) the performance of stochastic volatility models improves considerably by separating the asymmetric impact of positive and negative news made available over weeknights, weekends, holidays and long weekends.     

Bank regulatory capital and liquidity: Evidence from US and European publicly traded banks

The theory of financial intermediation highlights various channels through which capital and liquidity are interrelated. Using a simultaneous equations framework, we investigate the relationship between bank regulatory capital and bank liquidity measured from on-balance sheet positions for European and US publicly traded commercial banks. Previous research studying the determinants of bank capital buffer has neglected the role of liquidity. On the whole, we find that banks decrease their regulatory capital ratios when they face higher illiquidity as defined in the Basel III accords or when they create more liquidity as measured by Berger and Bouwman (2009). However, considering other measures of illiquidity that focus more closely on core deposits in the United States, our results show that small banks strengthen their solvency standards when they are exposed to higher illiquidity. Our empirical investigation supports the need to implement minimum liquidity ratios concomitant to capital ratios, as stressed by the Basel Committee; however, our findings also shed light on the need to further clarify how to define and measure illiquidity and also on how to regulate large banking institutions, which behave differently than smaller ones.     

Market price accounting and depositor discipline: The case of Japanese regional banks

We examine the determinants of Japanese regional bank pricing-to-market decisions and their impact on the intensity of depositor discipline, in the form of the sensitivity of deposit growth to bank financial conditions. To obtain consistent estimates, we first model and estimate the bank pricing-to-market decision and then estimate the intensity of depositor discipline after conditioning for that decision. We find that banks were less likely to adopt market price accounting the larger were their unrealized securities losses. We also find statistically significant evidence of depositor discipline among banks that elected to price to market. Our results indicate that depositor discipline was more intense for the subset of banks that adopted market price accounting.