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Cited by 313

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Transactions Accounts and Loan Monitoring

Open access
Mester, Loretta J., Nakamura, Leonard I., Renault, Micheline·2007·Review of Financial Studies
DOI 10.1093/rfs/hhl018
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Abstract

The authors provide evidence that transactions accounts help financial intermediaries monitor borrowers by offering lenders a continuous stream of data on borrowers' account balances. This information is most readily available to commercial banks, but other intermediaries, such as finance companies, also have access to such information at a cost. Using a unique set of data that includes monthly and annual information on small-business borrowers at an anonymous Canadian bank, the authors find a significant relationship between loans becoming troubled and the number of prior borrowings in excess of collateral. Since the bank monitors the value of collateral (defined as accounts receivable plus inventory) at high frequency through the transactions account of the borrower, this unique access to useful information gives banks an advantage over other lenders. The authors also find that banks more intensively monitor loans that have a higher number of violations of the collateral limit.

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Cites

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Metadata

Authors
Mester, L. J., Nakamura, L. I., & Renault, M.
Venue
Review of Financial Studies
Publisher
Oxford University Press (OUP)
Published
2006-07-01
Volume
20
Issue
3
Pages
529-556
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
DOI
10.1093/rfs/hhl018
OpenAlex
W3123851065
Cited by
313
References
22
FWCI
19.88
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Transactions Accounts and Loan Monitoring. https://app.cochat.ai/papers/10.1093/rfs/hhl018
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Mester, L. J., Nakamura, L. I., & Renault, M. (2007). Transactions Accounts and Loan Monitoring. Review of Financial Studies. https://doi.org/10.1093/rfs/hhl018

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.