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Maturity Transformation and Interest Rate Risk in Large European ...

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5 ConclusionIn Section 4.1 we are able to show that large <strong>European</strong> banks tend to transform short term customerdeposits <strong>and</strong> amortised cost <strong>in</strong>struments at 1-5 year maturity like hybrid <strong>and</strong> subord<strong>in</strong>ated debt <strong>in</strong>tolong term loan assets, as expected. Given the earlier work discussed <strong>in</strong> Section 1, <strong>in</strong> which the effectivematurity of core deposits is estimated to be less than three years, the <strong>in</strong>terest rate revaluation risk ofthese banks is significantly determ<strong>in</strong>ed by their loan asset portfolios. Exam<strong>in</strong><strong>in</strong>g the loan asset valuesmore closely, we f<strong>in</strong>d <strong>in</strong> Section 2.3 that the banks with the largest loan asset porfolios <strong>in</strong> 2011 aredomiciled <strong>in</strong> the UK, France <strong>and</strong> Germany, <strong>and</strong> these banks extend loans primarily <strong>in</strong>to Euro-areacountries <strong>and</strong> then <strong>in</strong>to non-Euro <strong>European</strong> countries. Rank<strong>in</strong>g the banks by their loan asset portfoliorepric<strong>in</strong>g sensitivity to a 2% parallel shift <strong>in</strong> <strong>in</strong>terest rates <strong>in</strong> Section 4.4, we f<strong>in</strong>d that the three riskiestbanks across most methods are Nykredit (DK), SNS Bank (NL) <strong>and</strong> Espirito Santo (PT). It mustbe emphasised that these rank<strong>in</strong>gs are <strong>in</strong>dependent of balance sheet size <strong>and</strong> do not account for offbalance-sheet<strong>in</strong>struments like <strong>in</strong>terest rate derivatives, but they provide a useful start<strong>in</strong>g po<strong>in</strong>t for thebank analyst <strong>and</strong> supervisor.In measur<strong>in</strong>g the <strong>in</strong>terest rate repric<strong>in</strong>g risk of these banks, we employ several methods <strong>and</strong> criticallyevaluate the Basel Committee guidel<strong>in</strong>e method for <strong>in</strong>terest rate sensitivity. We show how thisguidel<strong>in</strong>e method is simplistic <strong>and</strong> we illustrate the size of the deviation from simple alternative pric<strong>in</strong>gmodels through the use of examples. The guidel<strong>in</strong>e method is conservative for loan <strong>in</strong>dividual loan contractswith short maturities (less than 10-15 years) <strong>and</strong> <strong>in</strong> medium-to-high <strong>in</strong>terest rate environments.However, the guidel<strong>in</strong>e method understates risk for portfolios of loans even at short maturities <strong>and</strong> for<strong>in</strong>dividual loan contracts with longer maturities, <strong>and</strong> these understatements are exacerbated <strong>in</strong> low<strong>in</strong>terest rate environments. Further work should be done to <strong>in</strong>vestigate the sensitivities of the BaselCommittee guidel<strong>in</strong>e method, <strong>and</strong> the simple alternative methods presented here for loan contracts,to the cashflow tim<strong>in</strong>g assumptions, <strong>and</strong> especially the tim<strong>in</strong>g assumption <strong>in</strong> the 5+ maturity bucket.Furthermore, we show that the 2% parallel shift <strong>in</strong> yield curves that is typically used as the socalled“st<strong>and</strong>ardised <strong>in</strong>terest rate shock” is atypical of historical Euro yield curve movements. Morework should therefore be done to determ<strong>in</strong>e the appropriate shocks to apply to <strong>in</strong>terest rates, especiallyfor supervisory purposes. In particular, it is <strong>in</strong>appropriate for supervisors to rely on monitor<strong>in</strong>g onlyone <strong>in</strong>terest rate scenario because it is fairly easy for banks to allocate their asset <strong>and</strong> liability maturitiesso that exposure to any one scenario is zero, while exposures to other scenarios might be large.ReferencesBasel Committee on Bank<strong>in</strong>g Supervision (2004): “Pr<strong>in</strong>ciples for the Management <strong>and</strong> Supervisionof <strong>Interest</strong> <strong>Rate</strong> <strong>Risk</strong>,” Discussion Paper July, Basel Committee on Bank<strong>in</strong>g Supervision, Basel,Switzerl<strong>and</strong>.Czaja, M.-G., H. Scholz, <strong>and</strong> M. Wilkens (2009): “<strong>Interest</strong> rate risk of German f<strong>in</strong>ancial <strong>in</strong>stitutions:the impact of level, slope, <strong>and</strong> curvature of the term structure,” Review of QuantitativeF<strong>in</strong>ance <strong>and</strong> Account<strong>in</strong>g, 33(1), 1–26.English, W. B., S. J. van den Heuvel, <strong>and</strong> E. Zakrajsek (2012): “<strong>Interest</strong> <strong>Rate</strong> <strong>Risk</strong> <strong>and</strong> BankEquity Valuations,” FEDS Work<strong>in</strong>g Papers, (2012-26).Entrop, O., C. Memmel, M. Wilkens, <strong>and</strong> A. Zeisler (2011): “Estimat<strong>in</strong>g the <strong>Interest</strong> <strong>Rate</strong><strong>Risk</strong> of Banks Us<strong>in</strong>g Time Series of Account<strong>in</strong>g-Based Data,” Available at SSRN 982070.Federal Deposit Insurance Corporation (1994): “The Bank<strong>in</strong>g Crises of the 1980s <strong>and</strong> Early1990s: Summary <strong>and</strong> Implications,” Discussion paper, Federal Deposit Insurance Corporation.Flannery, M., <strong>and</strong> C. M. James (1984a): “The Effect of <strong>Interest</strong> <strong>Rate</strong> Changes on the CommonStock Returns of F<strong>in</strong>ancial Institutions,” The Journal of F<strong>in</strong>ance, 39(4), 1141–1153.Flannery, M. J., <strong>and</strong> C. M. James (1984b): “Market Evidence on the Effective <strong>Maturity</strong> of BankAssets <strong>and</strong> Liabilities,” Journal of Money, Credit <strong>and</strong> Bank<strong>in</strong>g, 16(4), 435–445.Gorton, G., <strong>and</strong> R. Rosen (1995): “Banks <strong>and</strong> derivatives,” NBER Work<strong>in</strong>g Paper Series, 5100.29

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