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引用次数: 0
摘要
2008 年金融危机之后,交易对手风险仍然是场外衍生品交易中的一个问题。虽然衍生品交易的保证金只能在交易对手违约前转移,但在保证金风险期内,即从交易对手违约到交易实际平仓期间,衍生品交易的风险敞口可能会随机变化。因此,预期的正风险可能无法确认,从而导致交易对手风险。考虑到按照规定计算初始保证金(IM)比较困难,在实践中,IM 的计算采用了国际掉期及衍生工具协会(ISDA)提出的简化方法,即 ISDA 标准初始保证金模型("ISDA SIMM")。在本研究中,我们推导出随机波动率模型中一些交易对手风险指标的近似公式,并以 SABR 模型中的看涨期权为例进行数值分析,以检验法规与实践在保证金计算中的差异所产生的影响。我们的结果表明,实践中计算的 IM 可能不足以进行交易对手风险管理,尤其是在市场波动较大的情况下。
Discrepancy between regulations and practice in initial margin calculation
Counterparty risk remains an issue in over-the-counter derivative transactions following the 2008 financial crisis. While the margin for a derivative transaction can only be transferred until just before the counterparty’s default, the exposure of the derivative transaction can vary stochastically during the margin period of risk, that is, the period from the counterparty’s default to the actual closing-out of the transaction. Thus, the anticipated positive exposure may not be recognized, resulting in counterparty risk. Considering it is difficult to calculate the initial margin (IM) according to the regulations, IM has been calculated in practice using a simplified method proposed by the International Swaps and Derivatives Association (ISDA), which is called the ISDA Standard Initial Margin Model (“ISDA SIMM”). In this study, we derive an approximate formula for some counterparty risk indicators for a stochastic volatility model and illustrate numerical analyses for a call option in the SABR model as an example to examine the effect of the discrepancy between regulations and practices in margin calculation. Our results imply that the IM calculated in practice may be insufficient for counterparty risk management, particularly when the market is volatile.
期刊介绍:
Japan Journal of Industrial and Applied Mathematics (JJIAM) is intended to provide an international forum for the expression of new ideas, as well as a site for the presentation of original research in various fields of the mathematical sciences. Consequently the most welcome types of articles are those which provide new insights into and methods for mathematical structures of various phenomena in the natural, social and industrial sciences, those which link real-world phenomena and mathematics through modeling and analysis, and those which impact the development of the mathematical sciences. The scope of the journal covers applied mathematical analysis, computational techniques and industrial mathematics.