Clustered pricing in the corporate loan market: Theory and empirical evidence
Sajid M. Chaudhry,
Elnaz Bajoori and
Shasi Nandeibam
Journal of Economic Behavior & Organization, 2019, vol. 157, issue C, 275-296
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.
Keywords: Corporate loans; Interest rate clustering; Information asymmetry; Uncertainty (search for similar items in EconPapers)
JEL-codes: D49 D82 G12 G21 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167268117303694
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:157:y:2019:i:c:p:275-296
DOI: 10.1016/j.jebo.2017.12.019
Access Statistics for this article
Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.
More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().