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Risiken im Unternehmenskreditgeschäft inländischer Banken
[Risks in domestic banks' corporate lending business]

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  • Memmel, Christoph
  • Roling, Christoph

Abstract

Es wird ein empirischer Ansatz vorgestellt, wie die Kreditrisiken im Unternehmenskreditportfolio untersucht werden können. Dabei werden Stress-Szenarien für Verlustquoten auf der Ebene der einzelnen Sektoren historisch ermittelt. Alternativ schätzen wir die empirische Assoziation zwischen Verlusten im Kreditgeschäft und dem Wirtschaftswachstum, wobei diese dann auf ein Szenario adversen Wirtschaftswachstums angewendet wird. Bei Banken, die die notwendige Eigenkapitalunterlegung im Kreditportfolio mit einem internen Ansatz bestimmen, modellieren wir zusätzlich einen Anstieg der Risikogewichte.

Suggested Citation

  • Memmel, Christoph & Roling, Christoph, 2021. "Risiken im Unternehmenskreditgeschäft inländischer Banken [Risks in domestic banks' corporate lending business]," Technical Papers 08/2021, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubtps:283333
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    References listed on IDEAS

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    1. Cohen, Benjamin H. & Scatigna, Michela, 2016. "Banks and capital requirements: Channels of adjustment," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 56-69.
    2. Jiménez, Gabriel & Mencía, Javier, 2009. "Modelling the distribution of credit losses with observable and latent factors," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 235-253, March.
    3. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
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    Cited by:

    1. Schober, Dominik & Etzel, Tobias & Falter, Alexander & Frankovic, Ivan & Gross, Christian & Kablau, Anke & Lauscher, Pierre & Ohls, Jana & Strobel, Lena & Wilke, Hannes, 2021. "Sensitivitätsanalyse klimabezogener Transitionsrisiken des deutschen Finanzsektors [Sensitivity analysis of climate-related transition risks in the German financial sector]," Technical Papers 13/2021, Deutsche Bundesbank.
    2. Pelzer, Manuel & Barasinska, Nataliya & Buchholz, Manuel & Friedrich, Sören & Geiger, Sebastian & Hristov, Nikolay & Jamaldeen, Philip & Löffler, Axel & Madjarac, Marcel & Roth, Markus & Silbermann, L, 2021. "Deleveraging-Potenzial im deutschen Bankensystem und Auswirkungen auf die Finanzstabilität [Potential deleveraging in the German banking system and effects on financial stability]," Technical Papers 12/2021, Deutsche Bundesbank.

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    More about this item

    Keywords

    Kreditrisiko; Ausfallwahrscheinlichkeit; Stress Test;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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