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Loan supply in Germany during the financial crisis

Author

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  • Busch, Ulrike
  • Scharnagl, Michael
  • Scheithauer, Jan

Abstract

Distinguishing pure supply effects from other determinants of price and quantity in the market for loans is a notoriously difficult problem. Using German data, we employ Bayesian vector autoregressive models with sign restrictions on the impulse response functions in order to enquire the role of loan supply and monetary policy shocks for the dynamics of loans to non-financial corporations. For the three quarters following the Lehman collapse, we find very strong negative loan supply shocks, while monetary policy was essentially neutral. Nevertheless, the historical decomposition shows a cumulated negative impact of loan supply shocks and monetary policy shocks on loans to non-financial corporations, due to the lagged effects of past loan supply and monetary policy shocks. However, these negative effects on loans to non-financial corporations are overcompensated by positive other shocks, which implies that loans developed more favorably than implied by the model, over the past few quarters.

Suggested Citation

  • Busch, Ulrike & Scharnagl, Michael & Scheithauer, Jan, 2010. "Loan supply in Germany during the financial crisis," Discussion Paper Series 1: Economic Studies 2010,05, Deutsche Bundesbank.
  • Handle: RePEc:zbw:bubdp1:201005
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    References listed on IDEAS

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    1. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    2. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
    3. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    4. Juan Francisco Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," FRB Atlanta Working Paper 2005-27, Federal Reserve Bank of Atlanta.
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    Cited by:

    1. Rilind Kabashi & Katerina Suleva, 2016. "Loan Supply Shocks in Macedonia: A Bayesian SVAR Approach with Sign Restrictions," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 18(1), pages 5-33, June.
    2. repec:wly:japmet:v:32:y:2017:i:4:p:764-782 is not listed on IDEAS
    3. Eickmeier, Sandra & Gambacorta, Leonardo & Hofmann, Boris, 2014. "Understanding global liquidity," European Economic Review, Elsevier, vol. 68(C), pages 1-18.
    4. Torsten Schmidt & Lina Zwick, 2012. "In Search for a Credit Crunch in Germany," Ruhr Economic Papers 0361, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    5. Nikolaychuk Sergiy & Shapovalenko Nadiia, 2013. "The identification of the sources of current account fluctuations in Ukraine," EERC Working Paper Series 13/12e, EERC Research Network, Russia and CIS.
    6. Eickmeier, Sandra & Ng, Tim, 2015. "How do US credit supply shocks propagate internationally? A GVAR approach," European Economic Review, Elsevier, vol. 74(C), pages 128-145.
    7. Fadejeva, Ludmila & Feldkircher, Martin & Reininger, Thomas, 2017. "International spillovers from Euro area and US credit and demand shocks: A focus on emerging Europe," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 1-25.
    8. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2012. "Loan supply shocks during the financial crisis: Evidence for the Euro area," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 569-592.
    9. Greenwood-Nimmo, Matthew & Tarassow, Artur, 2016. "Monetary shocks, macroprudential shocks and financial stability," Economic Modelling, Elsevier, vol. 56(C), pages 11-24.
    10. repec:zbw:rwirep:0361 is not listed on IDEAS
    11. Noss, Joseph & Toffano, Priscilla, 2016. "Estimating the impact of changes in aggregate bank capital requirements on lending and growth during an upswing," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 15-27.
    12. Luca Gambetti & Alberto Musso, 2017. "Loan Supply Shocks and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 764-782, June.
    13. Deryugina, Elena B. & Ponomarenko, Alexey A., 2011. "Identifying structural shocks behind loan supply fluctuations in Russia," BOFIT Discussion Papers 20/2011, Bank of Finland, Institute for Economies in Transition.
    14. Deryugina, Elena & Kovalenko, Olga & Pantina, Irina & Ponomarenko, Alexey, 2015. "Disentangling loan demand and supply shocks in Russia," BOFIT Discussion Papers 8/2015, Bank of Finland, Institute for Economies in Transition.
    15. Mthuli Ncube & Eliphas Ndou, 2013. "Working Paper 169 - Monetary Policy and Exchange Rate Shocks on South African Trade Balance," Working Paper Series 448, African Development Bank.
    16. repec:bof:bofitp:urn:nbn:fi:bof-201503111111 is not listed on IDEAS
    17. Svatopluk Kapounek, 2017. "The Impact of Institutional Quality on Bank Lending Activity: Evidence from Bayesian Model Averaging," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(5), pages 372-395, October.
    18. Bijsterbosch, Martin & Falagiarda, Matteo, 2015. "The macroeconomic impact of financial fragmentation in the euro area: Which role for credit supply?," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 93-115.
    19. Schmidt, Torsten & Zwick, Lina, 2012. "In Search for a Credit Crunch in Germany," Ruhr Economic Papers 361, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    20. Staszewska-Bystrova, Anna & Winker, Peter, 2013. "Constructing narrowest pathwise bootstrap prediction bands using threshold accepting," International Journal of Forecasting, Elsevier, vol. 29(2), pages 221-233.
    21. Ana María Chirinos-Leañez & Carolina Pagliacci, 2017. "Credit Supply in Venezuela: A Non-Conventional Bank Lending Channel?," IDB Publications (Working Papers) 8256, Inter-American Development Bank.
    22. Milcheva, Stanimira, 2013. "A bank lending channel or a credit supply shock?," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 314-332.

    More about this item

    Keywords

    Loan supply; Bayesian VAR; sign restrictions;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers

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