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Credit allocation along the business cycle: evidence from the latest boom bust credit cycle in Spain

Author

Listed:
  • Roberto Blanco

    (Banco de España)

  • Noelia Jiménez

    (Banco de España)

Abstract

Using a dataset that merges information of loan applications from the Spanish CCR with firms’ financial accounts, we find that during the great recession access to credit of firms with weak balance sheets deteriorated relative to other firms. However, contrary to the financial accelerator theory, we find that during the recovery phase after the latest recession access to credit of weaker firms did not improve relative to other firms and it even further deteriorated somewhat. We also provide empirical evidence that lending policies of banks with firms they are exposed to before the lending decision is taken are comparatively less sensitive to public information than those applied to new firms. This result, together with the positive correlation we find between firms’ access to bank loans and the number of firms’ bank credit relationships, might be linked to the existence of private information developed by banks through their interaction with borrowers. We also find that this relationship lending contributed to smooth credit contraction during the crisis.

Suggested Citation

  • Roberto Blanco & Noelia Jiménez, 2018. "Credit allocation along the business cycle: evidence from the latest boom bust credit cycle in Spain," Working Papers 1826, Banco de España.
  • Handle: RePEc:bde:wpaper:1826
    as

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    File URL: https://www.bde.es/f/webbde/SES/Secciones/Publicaciones/PublicacionesSeriadas/DocumentosTrabajo/18/Files/dt1826e.pdf
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    References listed on IDEAS

    as
    1. Giacomo Rodano & Nicolas Serrano-Velarde & Emanuele Tarantino, 2018. "Lending Standards over the Credit Cycle," The Review of Financial Studies, Society for Financial Studies, vol. 31(8), pages 2943-2982.
    2. Wooldridge, Jeffrey M., 2009. "On estimating firm-level production functions using proxy variables to control for unobservables," Economics Letters, Elsevier, vol. 104(3), pages 112-114, September.
    3. Asim Ijaz Khwaja & Atif Mian, 2008. "Tracing the Impact of Bank Liquidity Shocks: Evidence from an Emerging Market," American Economic Review, American Economic Association, vol. 98(4), pages 1413-1442, September.
    4. Raghuram G. Rajan, 1994. "Why Bank Credit Policies Fluctuate: A Theory and Some Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 399-441.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Marie Finnegan & Supriya Kapoor, 2023. "ECB unconventional monetary policy and SME access to finance," Small Business Economics, Springer, vol. 61(3), pages 1253-1288, October.
    2. Bańbura, Marta & Albani, Maria & Ambrocio, Gene & Bursian, Dirk & Buss, Ginters & de Winter, Jasper & Gavura, Miroslav & Giordano, Claire & Júlio, Paulo & Le Roux, Julien & Lozej, Matija & Malthe-Thag, 2018. "Business investment in EU countries," Occasional Paper Series 215, European Central Bank.
    3. McQuinn, John, 2019. "SME access to finance in Europe: structural change and the legacy of the crisis," Research Technical Papers 10/RT/19, Central Bank of Ireland.

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    More about this item

    Keywords

    access to credit; borrower-lender relationships; loan applications;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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