Prague Economic Papers 2018, 27(1):3-20 | DOI: 10.18267/j.pep.645

Determinants of Bank Fee Income in the EU Banking Industry - Does Market Concentration Matter?

Karolína Vozková1, Petr Teplý2
1 Institute of Economic Studies, Charles University in Prague, Czech Republic
2 Faculty of Finance and Accounting, University of Economics, Czech Republic

In this paper, we analyse the key determinants of bank fee and commission income in the European Union with a special emphasis on market concentration. On a sample of 258 EU banks during the 2007–2014 period, we apply System Generalized Method of Moments. First, we argue that the banks facing higher competition tend to expand more aggressively into non-traditional activities, and therefore they report a higher share of fee income in total income. Second, we found that a higher equity to assets ratio is related with higher shares of fee income since the bank needs more capital to prevent or manage the potential risks of the non-traditional activities. Finally, a high deposits to assets ratio tends to increase the fee income share, which may be possibly attributed to relatively high switching costs and to close depositor-bank relationship in the EU banks.

Keywords: bank, fee and commission income, Generalized Method of Moments, Herfindahl index, market concentration
JEL classification: C23, G21, L25

Published: February 1, 2018  Show citation

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Vozková, K., & Teplý, P. (2018). Determinants of Bank Fee Income in the EU Banking Industry - Does Market Concentration Matter? Prague Economic Papers27(1), 3-20. doi: 10.18267/j.pep.645
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References

  1. Arellano, M., Bond, S. (1991).Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58(2), 277-297, https://doi.org/10.2307/2297968 Go to original source...
  2. Bailey-Tapper, S.A. (2010). Non-Interest Income, Financial Performance & the Macroeconomy: Evidence on Jamaican Panel Data. Central Bank of Barbados. Working Paper. [online]. Available at: http://www.centralbank.org.bb/WEBCBB.nsf/vwPublications/45A844B4FDBD8CBC04257B0F00725528/$FILE/Non-interest%20Income%20Financial%20Performance%20%20the%20Macroeconomy_S%20Bailey-Tapper.pdf[Accessed25.1.2016].
  3. Blundell, R., Bond, S. (1998). Initial Conditions and Moment Restrictions in Dynamic Panel Data Models. Journal of Econometrics, 87(1), 115-143, https://doi.org/10.1016/s0304-4076(98)00009-8 Go to original source...
  4. Bond, S. (2002). Dynamic Panel Data Models: A Guide to Micro Data Methods and Practice. Cemmap. Working Paper CWP09/02. Go to original source...
  5. Busch, R., Kick, T. (2015). Income Structure and Bank Business Models: Evidence on Performance and Stability from the German Banking Industry. Schmalenbach Business Review, 67(1), 226-253. Go to original source...
  6. Craigwell, R., Maxwell, C. (2005). Non-Interest Income and Financial Performance at Commercial Banks in the Caribbean. Central Bank of Barbados. Working Paper,[online]. Available at: http://www.ccmf-uwi.org/files/publications/conference/898.pdf [Accessed 4.2.2015].
  7. Davis, P. E., Tuori, K. (2000). The Changing Structure of Banks' Income - An Empirical Investigation. Department of Economics and Finance Research Papers, Brunel University.
  8. De Young, R., Hunter, W.C. (2003). Deregulation, the Internet, and the Competitive Viability of Large Banks and Community Banks. The Future of Banking, ed. Benton Gup, Westport, CT, Quorum Books, 173-202.
  9. De Young, R., Hunter, W. C., Udell, G. F. (2004). Whither the Community Bank? What We Know and What We Suspect. Journal of Financial Services Research, 25, 81-94. Go to original source...
  10. De Young, R., Rice, T. (2004a). Non-Interest Income and Financial Performance at U.S. Commercial Banks. The Financial Review, 39(1), 101-127 https://doi.org/10.1111/j.0732-8516.2004.00069.x Go to original source...
  11. De Young, R., Rice, T. (2004b). How Do Banks Make Money? The Fallacies of Fee Income. Federal Reserve Bank of Chicago, Economic Perspectives, 34-51.
  12. ECB (2000). EU Banks' Income Structure. [online]. Available at http://www.ecb.europa.eu/pub/pdf/other/eubkincen.pdf [Accessed 14.2.2015]. ECB FSR (2013).
  13. Financial Stability Review, November 2013. [online]. Available at http://www.ecb.europa.eu/pub/pdf/other/financialstabilityreview201311en.pdf?7bec0dd1be03f8af0020c3c258b053d0[Accessed4.12.2015].
  14. Firth, M., Li, W., Wang, S. S. (2013). The Growth, Determinants, and Profitability of Non-Traditional Activities of Chinese Banks. The European Journal of Finance, 22(4-6), 259-287, [online], https://doi.org/10.1080/1351847x.2013.791632 Go to original source...
  15. Fišerová, T., Teplý, P., Tripe, D. (2015). The Performance of Foreign-Owned Banks in Host Country Economies. Prague Economic Papers, 24(5), 538-561, https://doi.org/10.18267/j.pep.527 Go to original source...
  16. Gambacorta, L., van Rixtel, A. (2013). Structural Bank Regulation Initiatives: Approaches and Implications. BIS. Working Papers No 412, Monetary and Economic Department.
  17. Gürbüz, A. O., Yanik S., Aytürk Y. (2013). Income Diversification and Bank Performance: Evidence from Turkish Banking Sector. Journal of BRSA Banking and Financial Markets, 7(1), 9-29.
  18. Hahm, J. H. (2008). Determinants and Consequences of Non-Interest Income Diversification of Commercial Banks in OECD Countries. Journal of International Economic Studies, 12(1). Go to original source...
  19. Holtz-Eakin, D., Newey, W., Rosen, H. S. (1988). Estimating Vector Autoregression with Panel Data. Econometrica, 56(6), 1371-1395, https://doi.org/10.2307/1913103 Go to original source...
  20. Kim, J. G., Kim Y. J. (2010). Non-Interest Income and Financial Performance at South Korea Banks [online].Available at: http://www.apeaweb.org/confer/hk10/papers/kim_jingun.pdf[Accessed 4.2.2015].
  21. Lepetit, L., Nys, E., Rous, P., Tarazi, A. (2005). Product Diversification in the European Banking Industry: Risk and Loan Pricing Implications. Working Paper series [online]. Available at: http://ssrn.com/abstract=873490, http://dx.doi.org/10.2139/ssrn.873490[Accessed1.2.2015]. Go to original source...
  22. Moshirian, F., Sahgal, S., Zhang, B. (2011). Non-Interest Income and Systematic Risk: The Role of Concentration. Australian School of Business, University of New South Wales [online]. Available at: http://www.newyorkfed.org/research/conference/2011/global_sys_risk/Non-interest_income_and_systemic_risk.pdf[Accessed 4.2.2014].
  23. Neven, D., von Ungern-Sternberg, T. (1998). The Competitive Impact of the UBS-SBC Mergers. HEC University of Lausanne [online]. Available at http://www.hec.unil.ch/deep/textes/9805.pdf [Accessed 14.3.2015].
  24. Nickell, S. (1981). Biases in Dynamic Models with Fixed Effects. Econometrica, 49(6), 1417-1426, https://doi.org/10.2307/1911408 Go to original source...
  25. Rogers, K., Sinkey, J. F. (1999). An Analysis of Nontraditional Activities at U.S. Commercial Banks. Review of Financial Economics, 8(1), 25-39 https://doi.org/10.1016/s1058-3300(99)00005-1 Go to original source...
  26. Roodman, D. (2006). How to do Xtabond2: An Introduction to "Difference" and "System" GMM in Stata. Centre for Global Development. Working Paper No. 103, https://doi.org/10.2139/ssrn.982943 Go to original source...
  27. Růžičková, K., Teplý, P. (2015). Determinants of Banking Fee Income in the EU Banking Industry - Does Market Concentration Matter? IES FSV, Charles University. IES Working Paper 4/2015.
  28. Sanya, S., Wolfe, S. (2011). Can Banks in Emerging Economies Benefit from Revenue Diversification? Journal of Financial Services Research, 40(1-2), 79-101, https://doi.org/10.1007/s10693-010-0098-z Go to original source...
  29. Shahida, S., Abd. Ghafar, I., Sanep, A. (2006). A Panel Data Analysis of Fee Income Activities in Islamic Banks. Islamic Economy, 19(2), 23-35, https://doi.org/10.4197/islec.19-2.2 Go to original source...
  30. Stiroh, K. J. (2002). Diversification in Banking Is Non-Interest Income the Answer? Journal of Money, Credit, and Banking, 36(5), 853-882, https://doi.org/10.1353/mcb.2004.0076 Go to original source...
  31. Stiroh, K. J. (2004). Do Community Banks Benefit from Diversification? Journal of Financial Services Research, 25(2-3), 135-160, https://doi.org/10.1023/b:fina.0000020657.59334.76 Go to original source...
  32. Windmeijer, F. (2005). A Finite Sample Correction for the Variance of Linear Efficient Two-Step GMM Estimators. Journal of Econometrics, 126(1), 25-51 https://doi.org/10.1016/j.jeconom.2004.02.005 Go to original source...
  33. Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge: MIT Press.
  34. data.worldbank.org
  35. epp.eurostat.ec.europa.eu
  36. sdw.ecb.europa.eu
  37. www.helgilibrary.com
  38. www.imf.org

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