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Firms’ financing constraints: do perceptions match the actual situation?

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  • Ferrando, Annalisa
  • Mulier, Klaas

Abstract

This paper uses a non parametric matching procedure to match survey replies to balance sheet information. It draws on the SAFE survey on access to finance for a sample of 11886 firms in the euro area which are matched with their nearest neighbour in an extended dataset with balance sheet information on 2.3 million firms. We investigate the role of rm characteristics with respect to the experience of facing financing obstacles in the period 2009-2011. We distinguish between firms' perceived financing constraints and actual financing constraints. We find that more pro table firms are less likely to face actual financing constraints. Also firms with more working capital and lower leverage ratios are less likely to be actually financially constrained, however profitability measures seem to be more robust. Firms are more likely to perceive access to finance problematic when they have more debt with short term maturity. Finally, rm age, but not size, is important in explaining both the perceived and the actual financial constraints. JEL Classification: E22, G30, G10, O16, K40

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Bibliographic Info

Paper provided by European Central Bank in its series Working Paper Series with number 1577.

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Date of creation: Aug 2013
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Handle: RePEc:ecb:ecbwps:20131577

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Keywords: financial constraints; SMEs; statistical matching of data; survey data;

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  1. Petersen, Mitchell A & Rajan, Raghuram G, 1997. "Trade Credit: Theories and Evidence," Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 661-91.
  2. Gertler, Mark, 1988. "Financial Structure and Aggregate Economic Activity: An Overview," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 20(3), pages 559-88, August.
  3. Beck, T.H.L. & Demirgüc-Kunt, A. & Laeven, L. & Maksimovic, V., 2006. "The determinants of financing obstacles," Open Access publications from Tilburg University urn:nbn:nl:ui:12-4295079, Tilburg University.
  4. Hoshi, Takeo & Kashyap, Anil & Scharfstein, David, 1991. "Corporate Structure, Liquidity, and Investment: Evidence from Japanese Industrial Groups," The Quarterly Journal of Economics, MIT Press, vol. 106(1), pages 33-60, February.
  5. Martin Brown & Steven Ongena & Alexander Popov & Pinar Yesin, 2010. "Who Needs Credit and Who Gets Credit in Eastern Europe?," Working Papers 2010-09, Swiss National Bank.
  6. Filipe Silva & Carlos Carreira, 2012. "Measuring Firms' Financial Constraints: A Rough Guide," GEMF Working Papers 2012-14, GEMF - Faculdade de Economia, Universidade de Coimbra.
  7. Guariglia, Alessandra & Mateut, Simona, 2006. "Credit channel, trade credit channel, and inventory investment: Evidence from a panel of UK firms," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2835-2856, October.
  8. Timothy Erickson & Toni M. Whited, 2000. "Measurement Error and the Relationship between Investment and q," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 1027-1057, October.
  9. Carlos A. Molina, 2005. "Are Firms Underleveraged? An Examination of the Effect of Leverage on Default Probabilities," Journal of Finance, American Finance Association, vol. 60(3), pages 1427-1459, 06.
  10. Steven M. Fazzari & R. Glenn Hubbard & Bruce C. Petersen, 2000. "Investment-Cash Flow Sensitivities Are Useful: A Comment On Kaplan And Zingales," The Quarterly Journal of Economics, MIT Press, vol. 115(2), pages 695-705, May.
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Cited by:
  1. Andrea Filippo Presbitero & Gregory F. Udell & Alberto Zazzaro, 2012. "The Home Bias and the Credit Crunch: A Regional Perspective," Mo.Fi.R. Working Papers 60, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.

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