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Counterparty credit limits: the impact of a risk-mitigation measure on everyday trading

Abstract:
A counterparty credit limit (CCL) is a limit that is imposed by a financial institution to cap its maximum possible exposure to a specified counterparty. CCLs help institutions to mitigate counterparty credit risk via selective diversification of their exposures. In this paper, we analyze how CCLs impact the prices that institutions pay for their trades during everyday trading. We study a high-quality data set from a large electronic trading platform in the foreign exchange spot market, which enables institutions to apply CCLs. We find empirically that CCLs had little impact on the vast majority of trades in this data. We also study the impact of CCLs using a new model of trading. By simulating our model with different underlying CCL networks, we highlight that CCLs can have a major impact in some situations.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1080/1350486X.2021.1893770

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Institution:
University of Oxford
Department:
MATHEMATICAL INSTITUTE
Sub department:
Mathematical Institute
Role:
Author
ORCID:
0000-0001-7938-370X


Publisher:
Taylor and Francis
Journal:
Applied Mathematical Finance More from this journal
Volume:
27
Issue:
6
Pages:
520-548
Publication date:
2021-05-18
Acceptance date:
2021-02-11
DOI:
EISSN:
1466-4313
ISSN:
1350-486X


Language:
English
Keywords:
Pubs id:
1163720
Local pid:
pubs:1163720
Deposit date:
2021-02-27

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