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Clustered pricing in the corporate loan market: Theory and empirical evidence

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  • Chaudhry, Sajid M.
  • Bajoori, Elnaz
  • Nandeibam, Shasi

Abstract

Existing theories explaining security price clustering as well as clustering in the retail deposit and mortgage markets are incompatible with the clustering in the corporate loan market. We develop a new theoretical model that the attitude of the lender toward the uncertainty about the quality of the borrower leads to the clustering of spreads. Our empirical results support our theoretical model and we find that clustering increases with the degree of uncertainty between the lender and the borrower. In contrast, clustering is less likely when the uncertainty about the quality of the borrower has been reduced through repeated access and through prior interactions of the lender and the borrower.

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  • Chaudhry, Sajid M. & Bajoori, Elnaz & Nandeibam, Shasi, 2019. "Clustered pricing in the corporate loan market: Theory and empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 275-296.
  • Handle: RePEc:eee:jeborg:v:157:y:2019:i:c:p:275-296
    DOI: 10.1016/j.jebo.2017.12.019
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    More about this item

    Keywords

    Corporate loans; Interest rate clustering; Information asymmetry; Uncertainty;
    All these keywords.

    JEL classification:

    • D49 - Microeconomics - - Market Structure, Pricing, and Design - - - Other
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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