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Debt Rescheduling with Multiple Lenders: Relying on the Information of Others

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  • Claude Fluet
  • Paolo G. Garella

Abstract

type="main" xml:id="ecca12099-abs-0001" xml:lang="en"> Are multiple-lender loans rescheduled more or less often than single-lender loans? Do multiple lenders react efficiently to new information? Our analysis emphasizes the role of the precision of information: lenders trade off benefits from immediate foreclosure against expected benefits of waiting for other lenders to act, given the likelihood that other lenders’ information is more precise. We analyse a Bayesian game where signals distributed to lenders may differ in precision and content. Equilibria display excessive liquidation or excessive rescheduling, depending on the likelihood of information. Outcomes are nevertheless second-best, given the constraint that private information cannot be merged.

Suggested Citation

  • Claude Fluet & Paolo G. Garella, 2014. "Debt Rescheduling with Multiple Lenders: Relying on the Information of Others," Economica, London School of Economics and Political Science, vol. 81(324), pages 698-720, October.
    • Handle: RePEc:bla:econom:v:81:y:2014:i:324:p:698-720
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    2. Ludovic Vigneron & Ramzi Benkraiem, 2015. "Does banking relationship configuration affect the risk-taking behavior of French SMEs?," Economics and Business Letters, Oviedo University Press, vol. 4(4), pages 166-174.

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    More about this item

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law

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