边距(机器学习)
计量经济学
基础(线性代数)
经济
随机建模
货币
计算机科学
数学
货币经济学
机器学习
财务
几何学
作者
Christoph M. Puetter,Stefano Renzitti
出处
期刊:Journal of Credit Risk
[Infopro Digital]
日期:2023-01-01
标识
DOI:10.21314/jcr.2023.012
摘要
A common shortcut for forecasting initial margin requirements and margin valuation adjustments that are aligned with the International Swaps and Derivatives Association’s Standard Initial Margin Model relies on simulating and recalibrating value-at-risk quantiles. Doing so largely avoids costly sensitivity calculations but works only if the relevant risks are appropriately represented in the simulation model. In this paper we highlight the impact of missing cross-currency basis risk factors on estimating initial margin and margin valuation adjustments for instruments with a cross-currency basis sensitivity. We propose a parsimonious, consistent and efficient stochastic cross-currency basis model extension as remedy and provide illustrative examples. The examples cover vanilla interest rate swaps and resetting and non-resetting cross-currency basis swaps in Canadian dollars, euros, Japanese yen and US dollars. In addition to initial margin and margin valuation adjustment, we also compute and compare the impact on residual credit valuation adjustment.
科研通智能强力驱动
Strongly Powered by AbleSci AI