In December Days are Shorter but Loans are Cheaper
Jérémie Bertrand and
Laurent Weill
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Jérémie Bertrand: IESEG School of Management
Working Papers of LaRGE Research Center from Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg
Abstract:
This study analyzes the month-of-the-year effect on lending decisions. Using data from a large US peer-to-peer lender, we perform regressions of loan acceptance and loan spread on month dummy variables, including a large set of borrower and loan control variables. We find evidence of a month-of-the-year effect on loan acceptance and loan pricing. December is the best month to ask for a loan, with the highest chance of acceptance and the lowest spread. Loan applications have the lowest chance of acceptance in January while loan pricing is highest in August and September. We test the potential explanations of the calendar anomalies and find some support for trade loading, such that granted loans might be inflated at the end of the quarter to hit quarterly targets.
Keywords: Fintech; calendar anomalies; loan. (search for similar items in EconPapers)
JEL-codes: G21 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-ban and nep-cfn
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http://ifs.u-strasbg.fr/large/publications/2020/2020-02.pdf (application/pdf)
Related works:
Journal Article: In December days are shorter but loans are cheaper (2022) 
Working Paper: In December days are shorter but loans are cheaper (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:lar:wpaper:2020-02
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