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Cited by 3,186

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Financial Contagion

Allen, Franklin, Gale, Douglas·2000·Journal of Political Economy

Abstract

Financial contagion is modeled as an equilibrium phenomenon. Because liquidity preference shocks are imperfectly correlated across regions, banks hold interregional claims on other banks to provide insurance against liquidity preference shocks. When there is no aggregate uncertainty, the first‐best allocation of risk sharing can be achieved. However, this arrangement is financially fragile. A small liquidity preference shock in one region can spread by contagion throughout the economy. The possibility of contagion depends strongly on the completeness of the structure of interregional claims. Complete claims structures are shown to be more robust than incomplete structures.

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Metadata

Authors
Allen, F., & Gale, D.
Venue
Journal of Political Economy
Published
2000-02
Volume
108
Issue
1
Pages
1-33
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
OpenAlex
W4248503640
Cited by
3,186
References
0
FWCI
28.15
Type
journal article
Language
en
Open access
closed

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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CoChat. (2026). Citation check: Financial Contagion. https://app.cochat.ai/papers/10.1086/262109
The paper
Allen, F., & Gale, D. (2000). Financial Contagion. Journal of Political Economy. https://doi.org/10.1086/262109

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.