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Modelling and measuring business risk and the resiliency of retail banks

Listed author(s):
  • Chaffai, Mohamed
  • Dietsch, Michel

The recent banking crisis has revealed the existence of strong resiliency factors in the retail banking business model. On average, retail banks suffered less than other financial institutions from unexpected market changes. This paper proposes a new methodology to measure retail banks’ business risk, which is defined as the risk of adverse and unexpected changes in banks’ profits coming from sudden changes in the banks’ activities. This methodology is based on the efficiency frontier methodology, and, more specifically, on the duality property between the directional distance function and the profit function. Using the distance function to compute banks’ profitability, we take the distance to the frontier of best practices as a measure of profit inefficiency, i.e. of unexpected losses related to underperformance. In this approach, shifts in the efficiency frontier induced by adverse shocks to banks’ volumes serve as a measure of business risk. This measure of profit volatility allows a measurement to be made of the impact of volume changes on banks’ profits. This method is applied to a database containing half yearly regulatory accounting reports over the 1993–2011 period for a sample of quite all French banks running a retail banking business model. Our results verify a low level of business risk in retail banking, thus confirming the resiliency of the retail banks’ business model.

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File URL: http://www.sciencedirect.com/science/article/pii/S1572308914000783
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Article provided by Elsevier in its journal Journal of Financial Stability.

Volume (Year): 16 (2015)
Issue (Month): C ()
Pages: 173-182

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Handle: RePEc:eee:finsta:v:16:y:2015:i:c:p:173-182
DOI: 10.1016/j.jfs.2014.08.004
Contact details of provider: Web page: http://www.elsevier.com/locate/jfstabil

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  1. Berlin, Mitchell & Mester, Loretta J., 1998. "On the profitability and cost of relationship lending," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 873-897, August.
  2. Berger, Allen N. & Leusner, John H. & Mingo, John J., 1997. "The efficiency of bank branches," Journal of Monetary Economics, Elsevier, vol. 40(1), pages 141-162, September.
  3. Park, Kang H. & Weber, William L., 2006. "A note on efficiency and productivity growth in the Korean Banking Industry, 1992-2002," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2371-2386, August.
  4. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
  5. J. Christina Wang & Susanto Basu & John G. Fernald, 2009. "A General-Equilibrium Asset-Pricing Approach to the Measurement of Nominal and Real Bank Output," NBER Chapters, in: Price Index Concepts and Measurement, pages 273-320 National Bureau of Economic Research, Inc.
  6. Mohamed E. Chaffai & Michel Dietsch, 2009. "The Effect of the Environment on Profit Efficiency of Bank Branches," Chapters in SUERF Studies, SUERF - The European Money and Finance Forum.
  7. Silva Portela, Maria Conceicao A. & Thanassoulis, Emmanuel, 2005. "Profitability of a sample of Portuguese bank branches and its decomposition into technical and allocative components," European Journal of Operational Research, Elsevier, vol. 162(3), pages 850-866, May.
  8. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
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