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Using clustering ensemble to identify banking business models

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  • Bernardo P. Marques
  • Carlos F. Alves

Abstract

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.

Suggested Citation

  • Bernardo P. Marques & Carlos F. Alves, 2020. "Using clustering ensemble to identify banking business models," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(2), pages 66-94, April.
  • Handle: RePEc:wly:isacfm:v:27:y:2020:i:2:p:66-94
    DOI: 10.1002/isaf.1471
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    File URL: https://doi.org/10.1002/isaf.1471
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    as
    1. John B. Taylor & John C. Williams, 2009. "A black swan in the money market," Proceedings, Federal Reserve Bank of San Francisco, issue Jan.
    2. R. E. Caves & M. E. Porter, 1977. "From Entry Barriers to Mobility Barriers: Conjectural Decisions and Contrived Deterrence to New Competition," The Quarterly Journal of Economics, Oxford University Press, vol. 91(2), pages 241-261.
    3. Curi, Claudia & Lozano-Vivas, Ana & Zelenyuk, Valentin, 2015. "Foreign bank diversification and efficiency prior to and during the financial crisis: Does one business model fit all?," Journal of Banking & Finance, Elsevier, vol. 61(S1), pages 22-35.
    4. Craig Galbraith & Dan Schendel, 1983. "An empirical analysis of strategy types," Strategic Management Journal, Wiley Blackwell, vol. 4(2), pages 153-173, April.
    5. Huang, Rocco & Ratnovski, Lev, 2011. "The dark side of bank wholesale funding," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 248-263, April.
    6. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 193-218, December.
    7. de Haas, Ralph & van Lelyveld, Iman, 2010. "Internal capital markets and lending by multinational bank subsidiaries," Journal of Financial Intermediation, Elsevier, vol. 19(1), pages 1-25, January.
    8. Paul Cavelaars & Joost Passenier, 2012. "Follow the money: What does the literature on banking tell prudential supervisors about bank business models?," Journal of Financial Regulation and Compliance, Emerald Group Publishing, vol. 20(4), pages 402-416, November.
    9. Chiorazzo, Vincenzo & D'Apice, Vincenzo & DeYoung, Robert & Morelli, Pierluigi, 2018. "Is the Traditional Banking Model a Survivor?," MPRA Paper 90296, University Library of Munich, Germany.
    10. Saskia E. van Ewijk & Ivo J.M. Arnold, 2014. "How bank business models drive interest margins: evidence from US bank-level data," The European Journal of Finance, Taylor & Francis Journals, vol. 20(10), pages 850-873, October.
    11. Martín-Oliver, Alfredo & Ruano, Sonia & Salas-Fumás, Vicente, 2017. "The fall of Spanish cajas: Lessons of ownership and governance for banks," Journal of Financial Stability, Elsevier, vol. 33(C), pages 244-260.
    12. Rungporn Roengpitya & Nikola Tarashev & Kostas Tsatsaronis & Alan Villegas, 2017. "Bank business models: popularity and performance," BIS Working Papers 682, Bank for International Settlements.
    13. Chiorazzo, Vincenzo & D'Apice, Vincenzo & DeYoung, Robert & Morelli, Pierluigi, 2018. "Is the traditional banking model a survivor?," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 238-256.
    14. Demirgüç-Kunt, Asli & Huizinga, Harry, 2010. "Bank activity and funding strategies: The impact on risk and returns," Journal of Financial Economics, Elsevier, vol. 98(3), pages 626-650, December.
    15. Danny Miller, 1986. "Configurations of strategy and structure: Towards a synthesis," Strategic Management Journal, Wiley Blackwell, vol. 7(3), pages 233-249, May.
    16. O'Hara, Maureen & Shaw, Wayne, 1990. "Deposit Insurance and Wealth Effects: The Value of Being "Too Big to Fail."," Journal of Finance, American Finance Association, vol. 45(5), pages 1587-1600, December.
    17. Adrian Blundell-Wignall & Paul Atkinson & Caroline Roulet, 2014. "Bank business models and the Basel system: Complexity and interconnectedness," OECD Journal: Financial Market Trends, OECD Publishing, vol. 2013(2), pages 43-68.
    18. Berger, Allen N. & Clarke, George R.G. & Cull, Robert & Klapper, Leora & Udell, Gregory F., 2005. "Corporate governance and bank performance: A joint analysis of the static, selection, and dynamic effects of domestic, foreign, and state ownership," Journal of Banking & Finance, Elsevier, vol. 29(8-9), pages 2179-2221, August.
    19. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    20. Elsas, Ralf & Hackethal, Andreas & Holzhäuser, Markus, 2010. "The anatomy of bank diversification," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1274-1287, June.
    21. Hunter, William C & Timme, Stephen G, 1986. "Technical Change, Organizational Form, and the Structure of Bank Production," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(2), pages 152-166, May.
    22. Hryckiewicz, Aneta & Kozłowski, Łukasz, 2017. "Banking business models and the nature of financial crisis," Journal of International Money and Finance, Elsevier, vol. 71(C), pages 1-24.
    23. Ali Azadeh & Leili Javanmardi & Morteza Saberi, 2010. "The impact of decision-making units features on efficiency by integration of data envelopment analysis, artificial neural network, fuzzy C-means and analysis of variance," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 7(3), pages 387-411.
    24. Wayne S. DeSarbo & Rajdeep Grewal, 2008. "Hybrid strategic groups," Strategic Management Journal, Wiley Blackwell, vol. 29(3), pages 293-317, March.
    25. Paul Cavelaars & Joost Passenier, 2012. "Follow the money: what does the literature on banking tell prudential supervisors on bank business models?," DNB Working Papers 336, Netherlands Central Bank, Research Department.
    26. Sergio Davalos & Fei Leng & Ehsan H. Feroz & Zhiyan Cao, 2014. "Designing An If–Then Rules‐Based Ensemble Of Heterogeneous Bankruptcy Classifiers: A Genetic Algorithm Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(3), pages 129-153, July.
    27. Easterbrook, Frank H, 1984. "Two Agency-Cost Explanations of Dividends," American Economic Review, American Economic Association, vol. 74(4), pages 650-659, September.
    28. Gorton, Gary & Metrick, Andrew, 2012. "Securitized banking and the run on repo," Journal of Financial Economics, Elsevier, vol. 104(3), pages 425-451.
    29. Douglas W. Diamond, 1984. "Financial Intermediation and Delegated Monitoring," Review of Economic Studies, Oxford University Press, vol. 51(3), pages 393-414.
    30. Mergaerts, Frederik & Vander Vennet, Rudi, 2016. "Business models and bank performance: A long-term perspective," Journal of Financial Stability, Elsevier, vol. 22(C), pages 57-75.
    31. Rajan, Raghuram G, 1992. "Insiders and Outsiders: The Choice between Informed and Arm's-Length Debt," Journal of Finance, American Finance Association, vol. 47(4), pages 1367-1400, September.
    32. Porter, Michael E, 1979. "The Structure within Industries and Companies' Performance," The Review of Economics and Statistics, MIT Press, vol. 61(2), pages 214-227, May.
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