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Justifiable Thrift or Feverish Animal Spirits: What Stirred the Corporate Credit Crunch in Poland?

  • Senderski, Marcin

This paper concerns the problem of corporate credit in Poland and tries to determine the sources of banks’ unexpected hesitance to provide enterprises with additional liquidity, which was observed during the global financial crisis. It differentiates between fundamental and non-fundamental determinants, which – when combined – reconstruct the course of events that led to the slowdown. A special attention is devoted to variables believed to be behavioral and theoretically inconsistent with the conventional belief of how lending activities are coordinated. A structural vector autoregression (SVAR) is run and impulse response functions are produced to provide a numerical support for the developed theoretical framework.

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File URL: https://mpra.ub.uni-muenchen.de/43674/1/MPRA_paper_43674.pdf
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File URL: https://mpra.ub.uni-muenchen.de/56609/1/MPRA_paper_43674.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 43674.

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Date of creation: Dec 2011
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Handle: RePEc:pra:mprapa:43674
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  1. Bernanke, Ben & Gertler, Mark, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Working Papers 95-15, C.V. Starr Center for Applied Economics, New York University.
  2. P Brooks & H Zank, 2004. "Attitudes on Gain and Loss Lotteries: A Simple Experiment," The School of Economics Discussion Paper Series 0402, Economics, The University of Manchester.
  3. Leonardo Gambacorta & David Marques‐Ibanez, 2011. "The bank lending channel: lessons from the crisis," Economic Policy, CEPR;CES;MSH, vol. 26(66), pages 135-182, 04.
  4. Bonin, John P. & Hasan, Iftekhar & Wachtel, Paul, 2004. "Bank performance, efficiency and ownership in transition countries," BOFIT Discussion Papers 7/2004, Bank of Finland, Institute for Economies in Transition.
  5. Davide Furceri & Aleksandra Zdzienicka, 2011. "The real effect of financial crises in the European transition economies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 19(1), pages 1-25, 01.
  6. Bernanke, Ben S & Blinder, Alan S, 1988. "Credit, Money, and Aggregate Demand," American Economic Review, American Economic Association, vol. 78(2), pages 435-39, May.
  7. Cetorelli, Nicola & Goldberg, Linda S., 2008. "Banking globalization, monetary transmission and the lending channel," Discussion Paper Series 1: Economic Studies 2008,21, Deutsche Bundesbank, Research Centre.
  8. Ben S. Bernanke & Cara S. Lown, 1991. "The Credit Crunch," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 205-248.
  9. Wang, Zijun & Kutan, Ali M. & Yang, Jian, 2005. "Information flows within and across sectors in Chinese stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 767-780, September.
  10. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
  11. Buch, Claudia M. & Eickmeier, Sandra & Prieto, Esteban, 2014. "In search for yield? Survey-based evidence on bank risk taking," Journal of Economic Dynamics and Control, Elsevier, vol. 43(C), pages 12-30.
  12. Ewa Wrobel & Tomasz Lyziak & Jan Przystupa, 2008. "Monetary Policy Transmission in Poland: a Study of the Importance of Interest Rate and Credit Channels," SUERF Studies, SUERF - The European Money and Finance Forum, number 2008/1 edited by Morten Balling, 00.
  13. Markus K. Brunnermeier, 2009. "Deciphering the Liquidity and Credit Crunch 2007-2008," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 77-100, Winter.
  14. Chmielewski, Tomasz, 2005. "Bank risks, risk preferences and lending," MPRA Paper 5131, University Library of Munich, Germany, revised 15 Jan 2006.
  15. Tensie Steijvers & Wim Voordeckers, 2009. "Collateral And Credit Rationing: A Review Of Recent Empirical Studies As A Guide For Future Research," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 924-946, December.
  16. Ralph de Haas & Iman van Lelyveld, 2003. "Foreign Banks and Credit Stability in Central and Eastern Europe: A Panel Data Analysis," DNB Staff Reports (discontinued) 109, Netherlands Central Bank.
  17. Brzoza-Brzezina, Michal & Makarski, Krzysztof, 2009. "Credit Crunch in a Small Open Economy," MPRA Paper 18595, University Library of Munich, Germany.
  18. Bijapur, Mohan, 2010. "Does monetary policy lose effectiveness during a credit crunch?," Economics Letters, Elsevier, vol. 106(1), pages 42-44, January.
  19. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
  20. Liliana Varela, 2015. "Sector Heterogeneity and Credit Market Imperfections in Emerging Markets," Working Papers 2015-350-29, Department of Economics, University of Houston.
  21. Georgy Ganev & Krisztina Molnar & Krzysztof Rybinski & Przemyslaw Wozniak, 2002. "Transmission Mechanism of Monetary Policy in Centraland Eastern Europe," CASE Network Reports 0052, CASE-Center for Social and Economic Research.
  22. Chmielewski, Tomasz, 2003. "Interest rate pass-through in the Polish banking sector and bank-specific financial disturbances," MPRA Paper 5133, University Library of Munich, Germany, revised 31 Jan 2004.
  23. Peter Kennedy, 2003. "A Guide to Econometrics, 5th Edition," MIT Press Books, The MIT Press, edition 5, volume 1, number 026261183x, March.
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