论文标题
敏感性和抵押选择选项的对冲
Sensitivities and Hedging of the Collateral Choice Option
论文作者
论文摘要
抵押选择选项允许附带派对方有机会更改抵押品的安全性类型。由于非零的抵押基础利差,这种选择性显着影响资产估值。由于评估选项的复杂性,许多从业者诉诸于对附带率的确定性假设。在本文中,我们关注基于随机动力学的抵押选择选项的评估模型。提出了由此产生的抵押选择估值及其对抵押管理的含义的内在差异。在确定性和随机模型下,我们获得了抵押选择期权价格价格的敏感性,我们表明随机模型将风险归因于所有涉及的附带货币。除了无法捕获波动效应的效果外,确定性模型还表现出数字结构,其中最便宜的货币在给定时间会影响估值。我们进一步考虑通过不带有抵押品选择选项的国内外零企业债券组合来套餐带有抵押选择选项的资产。我们根据确定性模型的穿越时间和基于随机模型下的方差最小化提出了静态对冲策略。我们展示了如何通过半分析公共因子方法明确确定该模型的权重,并且我们在数值实验中表明,该策略在最小化方差下提供了良好的对冲性能。
The collateral choice option allows a collateral-posting party the opportunity to change the type of security in which the collateral is deposited. Due to non-zero collateral basis spreads, this optionality significantly impacts asset valuation. Because of the complexity of valuing the option, many practitioners resort to deterministic assumptions on the collateral rates. In this article, we focus on a valuation model of the collateral choice option based on stochastic dynamics. Intrinsic differences in the resulting collateral choice option valuation and its implications for collateral management are presented. We obtain sensitivities of the collateral choice option price under both the deterministic and the stochastic model, and we show that the stochastic model attributes risks to all involved collateral currencies. Besides an inability to capture volatility effects, the deterministic model exhibits a digital structure in which only the cheapest-to-deliver currency influences the valuation at a given time. We further consider hedging an asset with the collateral choice option by a portfolio of domestic and foreign zero-coupon bonds that do not carry the collateral choice option. We propose static hedging strategies based on the crossing times of the deterministic model and based on variance-minimization under the stochastic model. We show how the weights of this model can be explicitly determined with the semi-analytical common factor approach and we show in numerical experiments that this strategy offers good hedging performance under minimized variance.