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Counterparty Credit Limits: The Impact of a Risk-Mitigation Measure on Everyday Trading

Martin D. Gould, Nikolaus Hautsch, Sam D. Howison, Mason A. Porter

arXiv 24 Sep 2017 · Finance — Trading · publishedApplied Mathematical Finance (2020) · 1 citations (OpenAlex)

arXiv:1709.08238 · PDF · DOI · OpenAlex · Extracted main text

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.

Citation extraction

46
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64
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distinct cited
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
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2D. T. Luu, M. Napoletano, P. Barucca, and S. Battiston (2020) Collateral unchained: Rehypothecation networks, concentration and systemic effects1.00054100%
3Bank for International Settlements (2010) Triennial Central Bank Survey: Report on global foreign exchange market activity in 20100.7373367%
4R. M. May, S. A. Levin, and G. Sugihara (2008) Complex systems: Ecology for bankers0.64422100%
5S. Weber and K. Weske (2017) The joint impact of bankruptcy costs, fire sales and cross-holdings on systemic risk in financial networks0.64422100%
6M. D. Gould, M. A. Porter, and S. D. Howison (2017) Quasi-centralized limit order books self0.5113233%
7L. Y. Liu, A. J. Patton, and K. Sheppard (2015) Does anything beat 5-minute RV? A comparison of realized measures across multiple asset classes0.5112250%
8D. Brigo, M. Morini, and A. Pallavicini (2013) Counterparty Credit Risk, Collateral and Funding: With Pricing Cases for All Asset Classes0.51121100%
9J. Gregory (2010) Counterparty Credit Risk: The New Challenge for Global Financial Markets0.51121100%
10K. Anand, P. Gai, and M. Marsili (2012) Rollover risk, network structure and systemic financial crises0.40511100%

Showing the top 10 of 46 scored citations.