Endogenous bank risk and efficiency

We develop a framework to incorporate bank risk, as measured from the variance of profits or returns, within a model of frontier efficiency. Our framework follows the premise that risk is endogenously related to efficiency. We estimate our model using panel data for U.S. banks and Bayesian techniques. We show that excluding risk from the efficiency model significantly biases the efficiency estimates and the ranking of banks according to their competitive advantage. We also demonstrate that there is a negative risk-efficiency nexus with causality running both ways, while our estimates of risk are fully consistent with the developments in the banking industry over the period 1976–2014.

[1]  Chien-Ming Chen,et al.  Measuring Eco-Inefficiency: A New Frontier Approach , 2011, Oper. Res..

[2]  A. Vivas Profit efficiency for Spanish savings banks , 1997 .

[3]  M. Delis,et al.  Banks’ Risk Endogenous to Strategic Management Choices , 2015 .

[4]  W. N. Street,et al.  Financial Data and the Skewed Generalized T Distribution , 1998 .

[5]  Allen N. Berger,et al.  Problem Loans and Cost Efficiency in Commercial Banks , 1995 .

[6]  Constantin Zopounidis,et al.  Operational and economic efficiency analysis of public hospitals in Greece , 2016, Ann. Oper. Res..

[7]  N. Shephard,et al.  Markov chain Monte Carlo methods for stochastic volatility models , 2002 .

[8]  Howard Thomas,et al.  Strategic Risk and Competitive Advantage: an integrative perspective , 2004 .

[9]  Michael Doumpos,et al.  Applying Data Envelopment Analysis on Accounting Data to Assess and Optimize the Efficiency of Greek Local Governments , 2013 .

[10]  M. Steel,et al.  Stochastic frontier models: a bayesian perspective , 1994 .

[11]  S. Kumbhakar,et al.  Efficiency measurement using a latent class stochastic frontier model , 2004 .

[12]  Ole Bent Olesen,et al.  Stochastic Data Envelopment Analysis - A review , 2016, Eur. J. Oper. Res..

[13]  Fotios Pasiouras,et al.  Financial Supervision Regimes and Bank Efficiency: International Evidence , 2013 .

[14]  R. Bettis,et al.  Exploring longitudinal risk‐return relationships , 2015 .

[15]  Joseph P. Hughes Incorporating risk into the analysis of production , 1999 .

[16]  Lawrence B. Pulley,et al.  Banks' Responses to Deregulation: Profits, Technology, and Efficiency , 1997 .

[17]  Yizhe Dong,et al.  Evaluating the Performance of Chinese Commercial Banks: A Comparative Analysis of Different Types of Banks , 2015, Eur. J. Oper. Res..

[18]  L. Wasserman,et al.  Computing Bayes Factors by Combining Simulation and Asymptotic Approximations , 1997 .

[19]  W. Sharpe CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* , 1964 .

[20]  Arnold Zellner,et al.  An Introduction to Bayesian Inference in Econometrics. , 1974 .

[21]  Markus K. Brunnermeier,et al.  A Macroeconomic Model with a Financial Sector , 2012 .

[22]  M. Lieberman,et al.  Production Frontier Methodologies and Efficiency as a Performance Measure in Strategic Management Research , 2013 .

[23]  John Ruggiero,et al.  Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools , 2013, Eur. J. Oper. Res..

[24]  John Geweke,et al.  Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments , 1991 .

[25]  Panayiotis Theodossiou,et al.  Skewness and the Relation Between Risk and Return , 2016, Manag. Sci..

[26]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[27]  Constantin Zopounidis,et al.  A novel multi-attribute benchmarking approach for assessing the financial performance of local governments: Empirical evidence from France , 2016, Eur. J. Oper. Res..

[28]  Constantin Zopounidis,et al.  The impact of banking regulations on banks' cost and profit efficiency: Cross-country evidence , 2009 .

[29]  P. Molyneux,et al.  Efficiency and Risk in European Banking , 2010, SSRN Electronic Journal.

[30]  D. Runkle,et al.  Size and performance of banking firms: Testing the predictions of theory , 1993 .

[31]  Loretta J. Mester A study of bank efficiency taking into account risk-preferences , 1996 .

[32]  Luc Laeven,et al.  Bank Governance, Regulation, and Risk Taking , 2008 .

[33]  Allen N. Berger,et al.  Problem Loans and Cost Efficiency in Commercial Banks , 1997 .

[34]  L. Simar,et al.  Stochastic FDH/DEA estimators for frontier analysis , 2008 .

[35]  A. Milne,et al.  Bank capital buffer and risk adjustment decisions , 2011 .

[36]  Allen N. Berger International Comparisons of Banking Efficiency , 2007 .

[37]  Loretta J. Mester,et al.  Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions? , 1997 .

[38]  Fotios Pasiouras,et al.  Assessing Bank Efficiency and Performance with Operational Research and Artificial Intelligence Techniques: A Survey , 2009, Eur. J. Oper. Res..

[39]  Markus K. Brunnermeier,et al.  A Macroeconomic Model with a Financial Sector , 2014 .

[40]  John F. Muth,et al.  A RISK/RETURN PARADOX FOR STRATEGIC MANAGEMENT , 2008 .

[41]  Subal C. Kumbhakar,et al.  Stochastic frontier analysis , 2000 .

[42]  A. Zellner An Introduction to Bayesian Inference in Econometrics , 1971 .

[43]  C. W. Sealey,et al.  Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions , 1977 .

[44]  Konstantinos Serfes,et al.  Does One Bank Size Fit All? The Role of Diversification and Monitoring , 2016 .

[45]  Efthymios G. Tsionas,et al.  Full Likelihood Inference in Normal-Gamma Stochastic Frontier Models , 2000 .

[46]  L. Wasserman,et al.  Computing Bayes Factors Using a Generalization of the Savage-Dickey Density Ratio , 1995 .

[47]  Wagner A. Kamakura,et al.  A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music , 2003, Manag. Sci..

[48]  Fotios Pasiouras,et al.  The Impact of Non-Traditional Activities on the Estimation of Bank Efficiency: International Evidence , 2008 .

[49]  Efthymios G. Tsionas,et al.  Stochastic Frontier Models with Random Coefficients , 2002 .