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The price impact of lending relationships

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  • Stein, Ingrid

Abstract

This study analyzes the impact of bank relationships on a firm's cost of debt. We focus on relationships with the main bank. We find that a firm's cost of debt decreases with relationship strength, proxied by the share of bank debt provided by the main lender, but rises with relationship length. While the increase over time is weak on average, bank-dependent borrowers face a significant premium after several relationship years. Moreover, cost of debt increases with concentration in the lender's portfolio. Switching the main lender initially leads to only a small price discount on average. However, the discount is considerable for borrowers that switch and had a strong relationship to the previous main lender. Our results indicate that the information advantage acquired by the relationship bank leads to benefits for the firm, but also to potential hold-up costs in the long-term. Moreover, additional costs may result from concentration risks faced by the lender, inducing borrowers to switch to larger relationship banks.

Suggested Citation

  • Stein, Ingrid, 2011. "The price impact of lending relationships," Discussion Paper Series 2: Banking and Financial Studies 2011,04, Deutsche Bundesbank.
  • Handle: RePEc:zbw:bubdp2:201104
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    References listed on IDEAS

    as
    1. Schmieder, Christian & Memmel, Christoph & Stein, Ingrid, 2007. "Relationship lending: empirical evidence for Germany," Discussion Paper Series 2: Banking and Financial Studies 2007,14, Deutsche Bundesbank.
    2. Herrera, Ana María & Minetti, Raoul, 2007. "Informed finance and technological change: Evidence from credit relationships," Journal of Financial Economics, Elsevier, vol. 83(1), pages 223-269, January.
    3. Elsas, Ralf & Krahnen, Jan Pieter, 1998. "Is relationship lending special? Evidence from credit-file data in Germany," Journal of Banking & Finance, Elsevier, vol. 22(10-11), pages 1283-1316, October.
    4. Degryse, Hans & Van Cayseele, Patrick, 2000. "Relationship Lending within a Bank-Based System: Evidence from European Small Business Data," Journal of Financial Intermediation, Elsevier, vol. 9(1), pages 90-109, January.
    5. von Thadden, Ernst-Ludwig, 2004. "Asymmetric information, bank lending and implicit contracts: the winner's curse," Finance Research Letters, Elsevier, vol. 1(1), pages 11-23, March.
    6. Angelini, P. & Di Salvo, R. & Ferri, G., 1998. "Availability and cost of credit for small businesses: Customer relationships and credit cooperatives," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 925-954, August.
    7. Vasso Ioannidou & Steven Ongena, 2010. "“Time for a Change”: Loan Conditions and Bank Behavior when Firms Switch Banks," Journal of Finance, American Finance Association, vol. 65(5), pages 1847-1877, October.
    8. Wolfgang Gerke & Ferdinand Mager & Timo Reinschmidt & Christian Schmieder, 2008. "Empirical Risk Analysis of Pension Insurance: The Case of Germany," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(3), pages 763-784, September.
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    Cited by:

    1. Doris Neuberger & Solvig Räthke-Döppner, 2015. "The role of demographics in small business loan pricing," Small Business Economics, Springer, vol. 44(2), pages 411-424, February.
    2. Mariarosaria Agostino & Francesco Trivieri, 2017. "Collateral in lending relationships. A study on European SMEs microdata," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 339-356, May.

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    More about this item

    Keywords

    Lending relationship; SME; German banking system;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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