IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v260y2017i1p376-387.html
   My bibliography  Save this article

Endogenous bank risk and efficiency

Author

Listed:
  • Delis, Manthos
  • Iosifidi, Maria
  • Tsionas, Mike G

Abstract

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.

Suggested Citation

  • Delis, Manthos & Iosifidi, Maria & Tsionas, Mike G, 2017. "Endogenous bank risk and efficiency," European Journal of Operational Research, Elsevier, vol. 260(1), pages 376-387.
  • Handle: RePEc:eee:ejores:v:260:y:2017:i:1:p:376-387
    DOI: 10.1016/j.ejor.2016.12.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037722171631058X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2016.12.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Markus K. Brunnermeier & Yuliy Sannikov, 2014. "A Macroeconomic Model with a Financial Sector," American Economic Review, American Economic Association, vol. 104(2), pages 379-421, February.
    2. Chien-Ming Chen & Magali A. Delmas & Marvin B. Lieberman, 2015. "Production frontier methodologies and efficiency as a performance measure in strategic management research," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 19-36, January.
    3. Lozano-Vivas, Ana & Pasiouras, Fotios, 2010. "The impact of non-traditional activities on the estimation of bank efficiency: International evidence," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1436-1449, July.
    4. Léopold Simar & Valentin Zelenyuk, 2011. "Stochastic FDH/DEA estimators for frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
    5. Panayiotis Theodossiou, 1998. "Financial Data and the Skewed Generalized T Distribution," Management Science, INFORMS, vol. 44(12-Part-1), pages 1650-1661, December.
    6. Delis, Manthos & Hasan, Iftekhar & Tsionas, Efthymios, 2015. "Banks’ Risk Endogenous to Strategic Management Choices," MPRA Paper 64907, University Library of Munich, Germany.
    7. Jokipii, Terhi & Milne, Alistair, 2011. "Bank capital buffer and risk adjustment decisions," Journal of Financial Stability, Elsevier, vol. 7(3), pages 165-178, August.
    8. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    9. repec:zbw:bofrdp:urn:nbn:fi:bof-201508211363 is not listed on IDEAS
    10. George Fragkiadakis & Michael Doumpos & Constantin Zopounidis & Christophe Germain, 2016. "Operational and economic efficiency analysis of public hospitals in Greece," Post-Print hal-01414677, HAL.
    11. Fiordelisi, Franco & Marques-Ibanez, David & Molyneux, Phil, 2011. "Efficiency and risk in European banking," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1315-1326, May.
    12. Panayiotis Theodossiou & Christos S. Savva, 2016. "Skewness and the Relation Between Risk and Return," Management Science, INFORMS, vol. 62(6), pages 1598-1609, June.
    13. Berger, Allen N. & DeYoung, Robert, 1997. "Problem loans and cost efficiency in commercial banks," Journal of Banking & Finance, Elsevier, vol. 21(6), pages 849-870, June.
    14. Joseph Hughes, 1999. "Incorporating risk into the analysis of production," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 27(1), pages 1-23, March.
    15. Laeven, Luc & Levine, Ross, 2009. "Bank governance, regulation and risk taking," Journal of Financial Economics, Elsevier, vol. 93(2), pages 259-275, August.
    16. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    17. Chien-Ming Chen & Magali A. Delmas, 2012. "Measuring Eco-Inefficiency: A New Frontier Approach," Operations Research, INFORMS, vol. 60(5), pages 1064-1079, October.
    18. Efthymios Tsionas, 2000. "Full Likelihood Inference in Normal-Gamma Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 13(3), pages 183-205, May.
    19. Boyd, John H. & Runkle, David E., 1993. "Size and performance of banking firms : Testing the predictions of theory," Journal of Monetary Economics, Elsevier, vol. 31(1), pages 47-67, February.
    20. George Fragkiadakis & Michael Doumpos & Constantin Zopounidis & Christophe Germain, 2016. "Operational and economic efficiency analysis of public hospitals in Greece," Annals of Operations Research, Springer, vol. 247(2), pages 787-806, December.
    21. Pasiouras, Fotios & Tanna, Sailesh & Zopounidis, Constantin, 2009. "The impact of banking regulations on banks' cost and profit efficiency: Cross-country evidence," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 294-302, December.
    22. Guyot, Alexis & Doumpos, Michael & Zopounidis, Constantin, 2016. "A novel multi-attribute benchmarking approach for assessing the financial performance of local governments: Empirical evidence from FranceAuthor-Name: Galariotis, Emilios," European Journal of Operational Research, Elsevier, vol. 248(1), pages 301-317.
    23. Vivas, Ana Lozano, 1997. "Profit efficiency for Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 98(2), pages 381-394, April.
    24. Mester, Loretta J., 1996. "A study of bank efficiency taking into account risk-preferences," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1025-1045, July.
    25. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    26. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    27. Torben J. Andersen & Richard A. Bettis, 2015. "Exploring longitudinal risk-return relationships," Strategic Management Journal, Wiley Blackwell, vol. 36(8), pages 1135-1145, August.
    28. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    29. Haelermans, Carla & Ruggiero, John, 2013. "Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools," European Journal of Operational Research, Elsevier, vol. 227(1), pages 174-181.
    30. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    31. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    32. Avramidis, Panagiotis & Cabolis, Christos & Serfes, Konstantinos, 2016. "Does one bank size fit all? The role of diversification and monitoring," School of Economics Working Paper Series 2016-7, LeBow College of Business, Drexel University, revised 17 Oct 2016.
    33. Emilios C. C Galariotis & Alexis Guyot & Michael Doumpos & Constantin Zopounidis, 2016. "A novel multi-attribute benchmarking approach for assessing the financial performance of local governments: Empirical evidence from France," Post-Print hal-02879848, HAL.
    34. Olesen, Ole B. & Petersen, Niels Christian, 2016. "Stochastic Data Envelopment Analysis—A review," European Journal of Operational Research, Elsevier, vol. 251(1), pages 2-21.
    35. Jonathan Lee & Peter Boatwright & Wagner A. Kamakura, 2003. "A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music," Management Science, INFORMS, vol. 49(2), pages 179-196, February.
    36. Emilios C. C Galariotis & Alexis Guyot & Michael Doumpos & Constantin Zopounidis, 2016. "A novel multi-attribute benchmarking approach for assessing the financial performance of local governments: Empirical evidence from France," Post-Print hal-01194629, HAL.
    37. Chib, Siddhartha & Nardari, Federico & Shephard, Neil, 2002. "Markov chain Monte Carlo methods for stochastic volatility models," Journal of Econometrics, Elsevier, vol. 108(2), pages 281-316, June.
    38. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    39. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    40. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-1266, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kutlu, Levent & Mamatzakis, Emmanuel & Tsionas, Mike G., 2022. "A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Delis, Manthos D. & Iosifidi, Maria & Tsionas, Mike, 2020. "Management estimation in banking," European Journal of Operational Research, Elsevier, vol. 284(1), pages 355-372.
    3. Lartey, Theophilus & James, Gregory A. & Danso, Albert, 2021. "Interbank funding, bank risk exposure and performance in the UK: A three-stage network DEA approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    4. Jeon, Bang Nam & Wu, Ji & Chen, Limei & Chen, Minghua, 2020. "Diversification, efficiency and risk of banks: New consolidating evidence from emerging economies," School of Economics Working Paper Series 2020-10, LeBow College of Business, Drexel University.
    5. Phan, Hien Thu & Anwar, Sajid & Alexander, W. Robert J. & Phan, Hanh Thi My, 2019. "Competition, efficiency and stability: An empirical study of East Asian commercial banks," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Partovi, Elmira & Matousek, Roman, 2019. "Bank efficiency and non-performing loans: Evidence from Turkey," Research in International Business and Finance, Elsevier, vol. 48(C), pages 287-309.
    7. Hela Kallel & Mohamed Triki, 2024. "Foreign ownership, bank efficiency and stability: Whether the institutional quality of countries is important?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 632-653, January.
    8. Tsionas, Mike G. & Mamatzakis, Emmanuel & Ongena, Steven, 2020. "Does risk aversion affect bank output loss? The case of the Eurozone," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1127-1145.
    9. Cristian Barra & Nazzareno Ruggiero, 2022. "Firm innovation and local bank efficiency in Italy: Does the type of bank matter?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 93(4), pages 1083-1128, December.
    10. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    11. Ulaş Ünlü & Neşe Yalçın & Nuri Avşarlıgil, 2022. "Analysis of Efficiency and Productivity of Commercial Banks in Turkey Pre- and during COVID-19 with an Integrated MCDM Approach," Mathematics, MDPI, vol. 10(13), pages 1-22, July.
    12. Kevork, Ilias S. & Pange, Jenny & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2017. "Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1125-1140.
    13. Le, Huong Nguyen Quynh & Nguyen, Thai Vu Hong & Schinckus, Christophe, 2022. "The role of strategic interactions in risk-taking behavior: A study from asset growth perspective," International Review of Financial Analysis, Elsevier, vol. 82(C).
    14. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.
    15. Pavlos Almanidis & Mustafa U. Karakaplan & Levent Kutlu, 2019. "A dynamic stochastic frontier model with threshold effects: U.S. bank size and efficiency," Journal of Productivity Analysis, Springer, vol. 52(1), pages 69-84, December.
    16. Francesca Pampurini & Anna Grazia Quaranta, 2018. "Sustainability and Efficiency of the European Banking Market after the Global Crisis: The Impact of Some Strategic Choices," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    17. Bhattacharya, Mita & Inekwe, John Nkwoma & Valenzuela, Maria Rebecca, 2020. "Credit risk and financial integration: An application of network analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    18. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    19. Chen, Minghua & Kang, Qiaoling & Wu, Ji & Jeon, Bang Nam, 2022. "Do macroprudential policies affect bank efficiency? Evidence from emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    20. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.
    21. Louhichi, Awatef & Boujelbene, Younes, 2020. "Credit risk pricing and the rationality of lending decision-making within dual banking systems: A parametric approach," Economic Systems, Elsevier, vol. 44(1).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    2. Salma Louati & Younes Boujelbene, 2021. "Basel Regulations and Banks’ Risk-efficiency Nexus: Evidence from Dynamic Simultaneous-equation Models," Journal of African Business, Taylor & Francis Journals, vol. 22(4), pages 578-602, October.
    3. Luo, Yun & Tanna, Sailesh & De Vita, Glauco, 2016. "Financial openness, risk and bank efficiency: Cross-country evidence," Journal of Financial Stability, Elsevier, vol. 24(C), pages 132-148.
    4. Goddard, John & Molyneux, Philip & Williams, Jonathan, 2014. "Dealing with cross-firm heterogeneity in bank efficiency estimates: Some evidence from Latin America," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 130-142.
    5. Safiullah, Md, 2020. "Bank governance and crisis-period efficiency: A multinational study on Islamic and conventional banks," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    6. Safiullah, Md & Shamsuddin, Abul, 2019. "Risk-adjusted efficiency and corporate governance: Evidence from Islamic and conventional banks," Journal of Corporate Finance, Elsevier, vol. 55(C), pages 105-140.
    7. Dong, Yizhe & Firth, Michael & Hou, Wenxuan & Yang, Weiwei, 2016. "Evaluating the performance of Chinese commercial banks: A comparative analysis of different types of banks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 280-295.
    8. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    9. Chen, Ku-Hsieh, 2012. "Incorporating risk input into the analysis of bank productivity: Application to the Taiwanese banking industry," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1911-1927.
    10. Gaganis, Chrysovalantis & Pasiouras, Fotios, 2013. "Financial supervision regimes and bank efficiency: International evidence," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5463-5475.
    11. Ivan Huljak & Reiner Martin & Diego Moccero, 2021. "Bank productivity in CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q2/21, pages 83-104.
    12. Saeed, Momna & Izzeldin, Marwan, 2016. "Examining the relationship between default risk and efficiency in Islamic and conventional banks," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 127-154.
    13. Manlagnit, Maria Chelo V., 2015. "Basel regulations and banks’ efficiency: The case of the Philippines," Journal of Asian Economics, Elsevier, vol. 39(C), pages 72-85.
    14. Sarmiento, Miguel & Galán, Jorge E., 2017. "The influence of risk-taking on bank efficiency: Evidence from Colombia," Emerging Markets Review, Elsevier, vol. 32(C), pages 52-73.
    15. El Moussawi, Chawki & Mansour, Rana, 2022. "Competition, cost efficiency and stability of banks in the MENA region," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 143-170.
    16. Curi, Claudia & Lozano-Vivas, Ana, 2020. "Managerial ability as a tool for prudential regulation," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 87-107.
    17. Francesca Pampurini & Anna Grazia Quaranta, 2018. "Sustainability and Efficiency of the European Banking Market after the Global Crisis: The Impact of Some Strategic Choices," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    18. Kalyvas, Antonios Nikolaos & Mamatzakis, Emmanuel, 2014. "Does business regulation matter for banks in the European Union?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 278-324.
    19. Mamatzakis, Emmanuel & Matousek, Roman & Vu, Anh Nguyet, 2016. "What is the impact of bankrupt and restructured loans on Japanese bank efficiency?," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 187-202.
    20. Francesco Aiello & Graziella Bonanno, 2013. "Profit and cost efficiency in the Italian banking industry (2006-2011)," Economics and Business Letters, Oviedo University Press, vol. 2(4), pages 190-205.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:260:y:2017:i:1:p:376-387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.