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Insider rates vs. outsider rates in lending

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Author Info
Lamont K. Black
Abstract

The presence of private information about a firm can affect the competition among potential lenders. In the Sharpe (1990) model of information asymmetry among lenders (with the von Thadden (2004) correction), an uninformed outside bank faces a winner’s curse when competing with an informed inside bank. This paper examines the model’s prediction for observed interest rates at an inside vs. outside bank. Although the outside bank wins more bad firms than the inside bank, the winner’s curse also causes the outside rate conditional on firm type to be lower in expectation than the inside rate conditional on firm type. I show analytically that the expected interest rate at the outsider can be either higher or lower than the expected interest rate at the insider, depending on the net of these two effects. Under the assumption that the banks split the firms in a tie bid, a numerical solution shows that the outside expected interest rate is higher than the inside expected interest rate for high quality borrower pools, but the outside expected interest rate is lower for low quality borrower pools.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 2008-36.

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Date of creation: 2008
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Handle: RePEc:fip:fedgfe:2008-36

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Keywords: Bank loans ; Bank competition ; Auctions;

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  1. Sharpe, Steven A, 1990. " Asymmetric Information, Bank Lending, and Implicit Contracts: A Stylized Model of Customer Relationships," Journal of Finance, American Finance Association, vol. 45(4), pages 1069-87, September. [Downloadable!] (restricted)
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  2. Rajan, Raghuram G, 1992. " Insiders and Outsiders: The Choice between Informed and Arm's-Length Debt," Journal of Finance, American Finance Association, vol. 47(4), pages 1367-400, September. [Downloadable!] (restricted)
  3. 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. [Downloadable!] (restricted)
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