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.
翻译:对应信贷限额(CCL)是金融机构为限制对指定对应方的最大可能风险而规定的限制。 CCL帮助金融机构通过有选择地分散其风险来减轻对应信贷风险。 在本文中,我们分析了CCCL如何影响机构在日常贸易中支付其贸易的价格。 我们研究了外汇现货市场一个大型电子贸易平台提供的高质量数据集,使机构能够应用CCL。 我们从经验中发现CCL对这些数据的绝大多数贸易影响不大。 我们还利用新的贸易模式研究CCL的影响。 我们通过利用不同的CCL网络模拟我们的模型,我们强调CCL在某些情况下可以产生重大影响。