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Corporate Governance and Financial Distress in the Banking Industry: Nigerian Experience

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  • Ayoola Tajudeen John
  • Obokoh Lawrence Ogechukwu

Abstract

The study investigates the effect of corporate governance on financial distress in the Nigerian banking industry and examines the discriminatory power of corporate governance mechanism of the board, audit committee, executive management and auditor in one model for financial distress prediction. Secondary data obtained from annual financial statements of twenty banks between 2005 and 2015 were used for the study. The data were analyzed using descriptive statistics and generalized quantile regression model. The empirical evidence from the study suggests that financially distressed banks are characterized by large board size with members who may not be well versed in banking complexities, chairmen and CEOs with significant shareholding both individually and collectively. Furthermore, the evidence also shows that distressed banks suffer major decline in customer deposits despite increase in size. The study concludes that financial distress can be caused by poor corporate governance mechanism.

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  • Ayoola Tajudeen John & Obokoh Lawrence Ogechukwu, 2018. "Corporate Governance and Financial Distress in the Banking Industry: Nigerian Experience," Journal of Economics and Behavioral Studies, AMH International, vol. 10(1), pages 182-193.
    • Handle: RePEc:rnd:arjebs:v:10:y:2018:i:1:p:182-193
    DOI: 10.22610/jebs.v10i1(J).2101
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    as
    1. Simpson, W. Gary & Gleason, Anne E., 1999. "Board structure, ownership, and financial distress in banking firms," International Review of Economics & Finance, Elsevier, vol. 8(3), pages 281-292, September.
    2. Luigi Aldieri & Concetto Paolo Vinci, 2017. "Quantile Regression for Panel Data: An Empirical Approach for Knowledge Spillovers Endogeneity," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(7), pages 106-113, July.
    3. Steve Letza & Xiuping Sun & James Kirkbride, 2004. "Shareholding Versus Stakeholding: a critical review of corporate governance," Corporate Governance: An International Review, Wiley Blackwell, vol. 12(3), pages 242-262, July.
    4. Premachandra, I.M. & Bhabra, Gurmeet Singh & Sueyoshi, Toshiyuki, 2009. "DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique," European Journal of Operational Research, Elsevier, vol. 193(2), pages 412-424, March.
    5. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    6. Parente Paulo M.D.C. & Santos Silva João M.C., 2016. "Quantile Regression with Clustered Data," Journal of Econometric Methods, De Gruyter, vol. 5(1), pages 1-15, January.
    7. 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.
    8. Babalola Adeyemi & Ajewole Olaniyi Olowu, 2013. "Corporate Governance: Has the Nigerian Banking Sector Learnt Any Lesson?," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 3(2), pages 49-59, February.
    9. Ali, Fekri & Abdelnabi, Milad & Iqbal, Hafezali & Alaeddin, Omar & Bin , Omer, 2016. "Corporate governance characteristics and valuation: Inferences from quantile regression," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 21(41), pages 81-88.
    10. Black, Bernard S. & de Carvalho, Antonio Gledson & Gorga, Érica, 2012. "What matters and for which firms for corporate governance in emerging markets? Evidence from Brazil (and other BRIK countries)," Journal of Corporate Finance, Elsevier, vol. 18(4), pages 934-952.
    11. Babalola Adeyemi & Ajewole Olaniyi Olowu, 2013. "Corporate Governance: Has the Nigerian Banking Sector Learnt Any Lesson?," International Journal of Business and Social Research, LAR Center Press, vol. 3(2), pages 49-59, February.
    12. Li, Ming-Yuan Leon & Miu, Peter, 2010. "A hybrid bankruptcy prediction model with dynamic loadings on accounting-ratio-based and market-based information: A binary quantile regression approach," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 818-833, September.
    13. Manzaneque, Montserrat & Priego, Alba María & Merino, Elena, 2016. "Corporate governance effect on financial distress likelihood: Evidence from Spain," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 111-121.
    14. Itay Goldstein & Ady Pauzner, 2005. "Demand–Deposit Contracts and the Probability of Bank Runs," Journal of Finance, American Finance Association, vol. 60(3), pages 1293-1327, June.
    15. 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.
    16. Wang, Tawei & Hsu, Carol, 2013. "Board composition and operational risk events of financial institutions," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 2042-2051.
    17. Santiago Lago-Peñas & Elena Rivo-López & Mónica Villanueva-Villar, 2016. "On the relationship between corporate governance and value creation in an economic crisis: Empirical evidence for the Spanish case," Working Papers. Collection C: Family business 1602, Universidade de Vigo, GEN - Governance and Economics research Network.
    18. Chan, Chia-Ying & Chou, De-Wai & Lin, Jane-Raung & Liu, Feng-Ying, 2016. "The role of corporate governance in forecasting bankruptcy: Pre- and post-SOX enactment," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 166-188.
    19. Cielen, Anja & Peeters, Ludo & Vanhoof, Koen, 2004. "Bankruptcy prediction using a data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 526-532, April.
    20. Koutsomanoli-Filippaki, Anastasia I. & Mamatzakis, Emmanuel C., 2011. "Efficiency under quantile regression: What is the relationship with risk in the EU banking industry?," Review of Financial Economics, Elsevier, vol. 20(2), pages 84-95, May.
    21. Premachandra, I.M. & Chen, Yao & Watson, John, 2011. "DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment," Omega, Elsevier, vol. 39(6), pages 620-626, December.
    22. 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.
    23. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    24. 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.
    25. Hoggarth, Glenn & Reis, Ricardo & Saporta, Victoria, 2002. "Costs of banking system instability: Some empirical evidence," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 825-855, May.
    26. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    27. Amendola, Alessandra & Restaino, Marialuisa & Sensini, Luca, 2015. "An analysis of the determinants of financial distress in Italy: A competing risks approach," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 33-41.
    28. Mark Egan & Ali Hortaçsu & Gregor Matvos, 2017. "Deposit Competition and Financial Fragility: Evidence from the US Banking Sector," American Economic Review, American Economic Association, vol. 107(1), pages 169-216, January.
    29. Renée Birgit Adams, 2012. "Governance and the Financial Crisis," International Review of Finance, International Review of Finance Ltd., vol. 12(1), pages 7-38, March.
    30. Hsin-Hung Chen, 2008. "The Timescale Effects of Corporate Governance Measure on Predicting Financial Distress," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 35-46.
    31. Cook, Douglas O. & Kieschnick, Robert & McCullough, B.D., 2008. "Regression analysis of proportions in finance with self selection," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 860-867, December.
    32. Munisi, Gibson & Randøy, Trond, 2013. "Corporate governance and company performance across Sub-Saharan African countries," Journal of Economics and Business, Elsevier, vol. 70(C), pages 92-110.
    33. Johnson, Andrew L. & Kuosmanen, Timo, 2012. "One-stage and two-stage DEA estimation of the effects of contextual variables," European Journal of Operational Research, Elsevier, vol. 220(2), pages 559-570.
    34. Geng, Ruibin & Bose, Indranil & Chen, Xi, 2015. "Prediction of financial distress: An empirical study of listed Chinese companies using data mining," European Journal of Operational Research, Elsevier, vol. 241(1), pages 236-247.
    35. Iqbal, Jamshed & Strobl, Sascha & Vähämaa, Sami, 2015. "Corporate governance and the systemic risk of financial institutions," Journal of Economics and Business, Elsevier, vol. 82(C), pages 42-61.
    36. Shehzad, Choudhry Tanveer & de Haan, Jakob & Scholtens, Bert, 2010. "The impact of bank ownership concentration on impaired loans and capital adequacy," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 399-408, February.
    37. Wuchun Chi & Huichi Huang & Hong Xie, 2015. "A quantile regression analysis on corporate governance and the cost of bank loans: a research note," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 14(1), pages 2-19, February.
    38. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    39. David Powell, 2014. "Did the Economic Stimulus Payments of 2008 Reduce Labor Supply? Evidence from Quantile Panel Data Estimation," Working Papers WR-710-3, RAND Corporation.
    40. Zhiyong Li & Jonathan Crook & Galina Andreeva, 2014. "Chinese companies distress prediction: an application of data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(3), pages 466-479, March.
    41. Pericoli, F.M. & Pierucci, E. & Ventura, L., 2013. "Cross-border equity portfolio choices and the diversification motive: A fractional regression approach," Economics Letters, Elsevier, vol. 121(2), pages 282-286.
    42. Adegbite, Emmanuel, 2015. "Good corporate governance in Nigeria: Antecedents, propositions and peculiarities," International Business Review, Elsevier, vol. 24(2), pages 319-330.
    43. Lang, Michael & Schmidt, Paul G., 2016. "The early warnings of banking crises: Interaction of broad liquidity and demand deposits," Journal of International Money and Finance, Elsevier, vol. 61(C), pages 1-29.
    44. 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.
    45. Grant Kirkpatrick, 2009. "The corporate governance lessons from the financial crisis," OECD Journal: Financial Market Trends, OECD Publishing, vol. 2009(1), pages 61-87.
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