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Financial distress drivers in Brazilian banks: A dynamic slacks approach

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  • Wanke, Peter
  • Barros, Carlos P.
  • Faria, João R.

Abstract

This study applies the Dynamic Slacks Based Model (DSBM) developed by Tone and Tsutsui (2010) in order to assess the evolution of input saving/output increasing potentials in major Brazilian Banks from 1996 to 2011. We propose that these potentials or slacks can be used as proxies for an eventual financial distress situation in the future. The main research objective is to determine whether or not different characteristics of bank type – related to ownership, size, and merger and acquisition processes – are significantly related to inefficiency levels and, by extension, to an eventual financial distress situation, since higher inefficiency levels also imply lower input saving/output decreasing potentials. Based on a balanced panel model, secondary data from Economatica were collected and analyzed. Results indicate higher inefficiency levels and slacks in small public and national banks. Policy implications are also addressed.

Suggested Citation

  • Wanke, Peter & Barros, Carlos P. & Faria, João R., 2015. "Financial distress drivers in Brazilian banks: A dynamic slacks approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 258-268.
  • Handle: RePEc:eee:ejores:v:240:y:2015:i:1:p:258-268
    DOI: 10.1016/j.ejor.2014.06.044
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    1. Kerstens, Kristiaan & Mounir, Amine & de Woestyne, Ignace Van, 2011. "Non-parametric frontier estimates of mutual fund performance using C- and L-moments: Some specification tests," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1190-1201, May.
    2. Cole, Rebel A. & Gunther, Jeffery W., 1995. "Separating the likelihood and timing of bank failure," Journal of Banking & Finance, Elsevier, vol. 19(6), pages 1073-1089, September.
    3. Berger, Allen N. & Hasan, Iftekhar & Zhou, Mingming, 2009. "Bank ownership and efficiency in China: What will happen in the world's largest nation?," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 113-130, January.
    4. Dinc, I. Serdar, 2005. "Politicians and banks: Political influences on government-owned banks in emerging markets," Journal of Financial Economics, Elsevier, vol. 77(2), pages 453-479, August.
    5. Borger, Bruno De & Ferrier, Gary D. & Kerstens, Kristiaan, 1998. "The choice of a technical efficiency measure on the free disposal hull reference technology: A comparison using US banking data," European Journal of Operational Research, Elsevier, vol. 105(3), pages 427-446, March.
    6. Galindo, Arturo & Micco, Alejandro, 2004. "Do state owned banks promote growth? Cross-country evidence for manufacturing industries," Economics Letters, Elsevier, vol. 84(3), pages 371-376, September.
    7. C. Edward Chang & Iftekhar Hasan & William Hunter, 1998. "Efficiency of multinational banks: an empirical investigation," Applied Financial Economics, Taylor & Francis Journals, vol. 8(6), pages 689-696.
    8. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    9. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    10. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
    11. Humphrey, David B & Pulley, Lawrence B, 1997. "Banks' Responses to Deregulation: Profits, Technology, and Efficiency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 73-93, February.
    12. Drake, Leigh & Hall, Maximilian J.B. & Simper, Richard, 2009. "Bank modelling methodologies: A comparative non-parametric analysis of efficiency in the Japanese banking sector," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 1-15, February.
    13. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    14. Mohamed Ariff & Luc Can, 2009. "IMF Bank-Restructuring Efficiency Outcomes: Evidence from East Asia," Journal of Financial Services Research, Springer;Western Finance Association, vol. 35(2), pages 167-187, April.
    15. Ricardo Correa, 2009. "Cross-Border Bank Acquisitions: Is there a Performance Effect?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 36(2), pages 169-197, December.
    16. Yung-Ho Chiu & Chyanlong Jan & Da-Bai Shen & Pen-Chun Wang, 2008. "Efficiency and capital adequacy in Taiwan banking: BCC and super-DEA estimation," The Service Industries Journal, Taylor & Francis Journals, vol. 28(4), pages 479-496, May.
    17. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    18. Epure, Mircea & Kerstens, Kristiaan & Prior, Diego, 2011. "Bank productivity and performance groups: A decomposition approach based upon the Luenberger productivity indicator," European Journal of Operational Research, Elsevier, vol. 211(3), pages 630-641, June.
    19. Fukuyama, Hirofumi & Weber, William L., 2010. "A slacks-based inefficiency measure for a two-stage system with bad outputs," Omega, Elsevier, vol. 38(5), pages 398-409, October.
    20. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    21. Ray, Subhash C. & Das, Abhiman, 2010. "Distribution of cost and profit efficiency: Evidence from Indian banking," European Journal of Operational Research, Elsevier, vol. 201(1), pages 297-307, February.
    22. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    23. Zvi Griliches, 1992. "Output Measurement in the Service Sectors," NBER Books, National Bureau of Economic Research, Inc, number gril92-1.
    24. David C. Wheelock & Paul W. Wilson, 2012. "Do Large Banks Have Lower Costs? New Estimates of Returns to Scale for U.S. Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 171-199, February.
    25. Elena Beccalli & Pascal Frantz, 2009. "M&A Operations and Performance in Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 36(2), pages 203-226, December.
    26. A. George Assaf & Carlos Barros & Ade Ibiwoye, 2010. "Performance assessment of Nigerian banks pre and post consolidation: evidence from a Bayesian approach," The Service Industries Journal, Taylor & Francis Journals, vol. 32(2), pages 215-229, August.
    27. Becht, Marco & Bolton, Patrick & Roell, Ailsa, 2003. "Corporate governance and control," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 1, pages 1-109, Elsevier.
    28. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    29. Briec, Walter & Liang, Qi Bin, 2011. "On some semilattice structures for production technologies," European Journal of Operational Research, Elsevier, vol. 215(3), pages 740-749, December.
    30. Brandouy, Olivier & Briec, Walter & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2010. "Portfolio performance gauging in discrete time using a Luenberger productivity indicator," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1899-1910, August.
    31. Tirole, Jean, 2001. "Corporate Governance," Econometrica, Econometric Society, vol. 69(1), pages 1-35, January.
    32. Yener Altunbas & Santiago Carbo & Edward P.M. Gardener & Philip Molyneux, 2007. "Examining the Relationships between Capital, Risk and Efficiency in European Banking," European Financial Management, European Financial Management Association, vol. 13(1), pages 49-70, January.
    33. Tarun Khanna & Krishna Palepu, 2000. "Is Group Affiliation Profitable in Emerging Markets? An Analysis of Diversified Indian Business Groups," Journal of Finance, American Finance Association, vol. 55(2), pages 867-891, April.
    34. Pasiouras, Fotios & Gaganis, Chrysovalantis & Zopounidis, Constantin, 2010. "Multicriteria classification models for the identification of targets and acquirers in the Asian banking sector," European Journal of Operational Research, Elsevier, vol. 204(2), pages 328-335, July.
    35. Antonio Alvarez & Carlos Arias, 2003. "Diseconomies of Size with Fixed Managerial Ability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 134-142.
    36. Garette, Bernard & Dussauge, Pierre, 2000. "Alliances versus acquisitions: choosing the right option," European Management Journal, Elsevier, vol. 18(1), pages 63-69, February.
    37. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    38. Camanho, A. S. & Dyson, R. G., 2005. "Cost efficiency measurement with price uncertainty: a DEA application to bank branch assessments," European Journal of Operational Research, Elsevier, vol. 161(2), pages 432-446, March.
    39. Bernard Garrette & Pierre Dussauge, 2000. "Alliances versus acquisitions: choosing the right option," Post-Print hal-00458779, HAL.
    40. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
    41. Sunil Kumar & Rachita Gulati, 2010. "Measuring efficiency, effectiveness and performance of Indian public sector banks," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 59(1), pages 51-74, January.
    42. Paul Kato & Jens Hagendorff, 2010. "Distance to default, subordinated debt, and distress indicators in the banking industry," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(4), pages 853-870, December.
    43. Brissimis, Sophocles N. & Delis, Manthos D. & Tsionas, Efthymios G., 2010. "Technical and allocative efficiency in European banking," European Journal of Operational Research, Elsevier, vol. 204(1), pages 153-163, July.
    44. Barbara Casu & Philip Molyneux, 2003. "A comparative study of efficiency in European banking," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1865-1876.
    45. Wang, Wei-Kang & Lu, Wen-Min & Tsai, Chia-Jen, 2011. "The relationship between airline performance and corporate governance amongst US Listed companies," Journal of Air Transport Management, Elsevier, vol. 17(2), pages 148-152.
    46. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    47. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    48. H Fukuyama & W L Weber, 2009. "Estimating indirect allocative inefficiency and productivity change," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1594-1608, November.
    49. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    50. Robert DeYoung, 1998. "Management Quality and X-Inefficiency in National Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 13(1), pages 5-22, February.
    51. Männasoo, Kadri & Mayes, David G., 2009. "Explaining bank distress in Eastern European transition economies," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 244-253, February.
    52. Pankaj Ghemawat & Tarun Khanna, 1998. "The Nature of Diversified Business Groups: A Research Design and Two Case Studies," Journal of Industrial Economics, Wiley Blackwell, vol. 46(1), pages 35-61, March.
    53. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    54. Berger, Allen N. & Humphrey, David B. & Pulley, Lawrence B., 1996. "Do consumers pay for one-stop banking? Evidence from an alternative revenue function," Journal of Banking & Finance, Elsevier, vol. 20(9), pages 1601-1621, November.
    55. Venkiteswaran N, 1997. "Ethics, Values and Corporate Governance," IIMA Working Papers WP1997-08-01_01459, Indian Institute of Management Ahmedabad, Research and Publication Department.
    56. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    57. Barros, Carlos Pestana & Wanke, Peter, 2014. "Banking efficiency in Brazil," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 54-65.
    58. Gregor Andrade & Mark Mitchell & Erik Stafford, 2001. "New Evidence and Perspectives on Mergers," Journal of Economic Perspectives, American Economic Association, vol. 15(2), pages 103-120, Spring.
    59. Allen N. Berger & David B. Humphrey, 1992. "Measurement and Efficiency Issues in Commercial Banking," NBER Chapters, in: Output Measurement in the Service Sectors, pages 245-300, National Bureau of Economic Research, Inc.
    60. Kolari, James & Glennon, Dennis & Shin, Hwan & Caputo, Michele, 2002. "Predicting large US commercial bank failures," Journal of Economics and Business, Elsevier, vol. 54(4), pages 361-387.
    61. Jin, Justin Yiqiang & Kanagaretnam, Kiridaran & Lobo, Gerald J., 2011. "Ability of accounting and audit quality variables to predict bank failure during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2811-2819, November.
    62. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    63. Briec, W. & Lemaire, B., 1999. "Technical efficiency and distance to a reverse convex set," European Journal of Operational Research, Elsevier, vol. 114(1), pages 178-187, April.
    64. Jean-Philippe Boussemart & Walter Briec & Nicolas Peypoch & Christophe Tavéra, 2009. "α-Returns to scale and multi-output production technologies," Post-Print halshs-00418883, HAL.
    65. Jean Tirole, 2006. "The Theory of Corporate Finance," Post-Print hal-00173191, HAL.
    66. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    67. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    68. Sahoo, Biresh K. & Tone, Kaoru, 2009. "Radial and non-radial decompositions of profit change: With an application to Indian banking," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1130-1146, August.
    69. George Assaf, A. & Barros, Carlos P. & Matousek, Roman, 2011. "Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 331-342, February.
    70. Venkiteswaran N, 2000. "Corporate Governance for Shareholder Value," IIMA Working Papers WP2000-07-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    71. 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.
    72. Turner, Hugh & Windle, Robert & Dresner, Martin, 2004. "North American containerport productivity: 1984-1997," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 40(4), pages 339-356, July.
    73. Leigh Drake, 2001. "Efficiency and productivity change in UK banking," Applied Financial Economics, Taylor & Francis Journals, vol. 11(5), pages 557-571.
    74. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, January.
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