The reviewed record of science sign in
Pith

arxiv: 1709.08238 · v3 · pith:374HYVCS · submitted 2017-09-24 · q-fin.TR · econ.EM· math.PR· stat.AP· stat.CO

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

Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:374HYVCSrecord.jsonopen to challenge →

classification q-fin.TR econ.EMmath.PRstat.APstat.CO
keywords cclsimpactcounterpartytradingcreditinstitutionsdataeveryday
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.