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Bank-firm relationships and the survival of non-financial firms during the financial crisis 2008-2009

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  • Abildgren, Kim
  • Vølund Buchholst, Birgitte
  • Staghøj, Jonas

Abstract

Utilising a unique data set with annual accounts from around 37,000 Danish non-financial firms spanning almost one and a half decade, we offer microeconometric evidence on bankfirm relationships and the survival of firms during the financial crisis 2008-9. Within the framework of accounting-based credit-scoring models we find that the probability of default during the crisis was significantly higher for firms with a JEL Classification: E44, G21, G33

Suggested Citation

  • Abildgren, Kim & Vølund Buchholst, Birgitte & Staghøj, Jonas, 2013. "Bank-firm relationships and the survival of non-financial firms during the financial crisis 2008-2009," Working Paper Series 1516, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20131516
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    References listed on IDEAS

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    Cited by:

    1. Joachim Wagner & John P. Weche Gelübcke, 2016. "Risk or Resilience? The Role of Trade Integration and Foreign Ownership for the Survival of German Enterprises during the Crisis 2008–2010," World Scientific Book Chapters, in: Microeconometrics of International Trade, chapter 11, pages 369-397, World Scientific Publishing Co. Pte. Ltd..
    2. Christian Gross & Pierre L. Siklos, 2020. "Analyzing credit risk transmission to the nonfinancial sector in Europe: A network approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 61-81, January.
    3. Ali Kabiri & Vlad Malone & Isabelle Roland & Mariana Spatareanu, 2020. "Bank default risk propagation along supply chains: evidence from the UK," CEP Discussion Papers dp1699, Centre for Economic Performance, LSE.
    4. Gajewski, Krzysztof & Pawłowska, Małgorzata & Rogowski, Wojciech, 2012. "Relacje firm z bankami w Polsce w świetle danych ze sprawozdawczości bankowej [Bank-firm relationships in Poland in the light of data from bank reporting]," MPRA Paper 42544, University Library of Munich, Germany, revised 29 Oct 2012.
    5. Nehrebecka Natalia, 2018. "Predicting the Default Risk of Companies. Comparison of Credit Scoring Models: Logit Vs Support Vector Machines," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(2), pages 54-73, June.
    6. Spatareanu, M. & Manole, V. & Kabiri, A. & Roland, I., 2020. "Bank Default Risk Propagation along Supply Chains: Evidence from the U.K," Cambridge Working Papers in Economics 2058, Faculty of Economics, University of Cambridge.

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    More about this item

    Keywords

    bank-firm relationships; financial crisis; firm survival; probability of default;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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