基于风险价值的货币对冲方法

Rachna Khurana, Umang Khetan
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引用次数: 0

摘要

随着涉及的货币数量的增加以及它们之间不同的相关性,企业外汇风险管理变得越来越复杂。现有文献强调,在优化投资组合管理的对冲比率时,需要考虑跨货币相关性(Dowd, 1999)。在本文中,我们提出了一个基于风险价值(VaR)的模型来估计跨国公司的最佳对冲比率,该比率旨在在给定的外汇波动预期损失容忍水平下最小化对冲成本。本文阐述了作为风险管理第一步的投资组合水平VaR估计的参数方法和历史方法。第二步,根据不同套期比率下的预期VaR水平推导出有效边界,并与相关的套期成本进行比较。这种方法的好处包括:在考虑了货币之间的相关性后,确定净风险敞口,以避免重复对冲,并将管理对冲决策的参数浓缩为一个直观吸引人的数字。这篇论文还强调了经常更新模型假设的必要性,因为货币相关性和企业风险敞口仍然是动态的。JEL分类代码:C10、F31、G32、M20。
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Value-At-Risk Based Approach For Currency Hedging
Corporate FX risk management has gained complexity with an increased number of currencies involved and varying correlations among them. Existing literature has highlighted the need to account for cross-currency correlations when optimizing hedge ratios for portfolio management (Dowd, 1999). In this paper, we propose a Value-at-Risk (VaR) based model to estimate the optimal hedge ratio for a multi-national corporate that aims to minimize the cost of hedging at a given tolerance level of expected loss arising out of FX movement. The paper illustrates both parametric and historical methods of VaR estimation at a portfolio level as the first step in risk management. As a second step, an efficient-frontier is derived based on the expected VaR level at various hedge ratios and compared with associated hedge cost. The benefits of this approach include: identification of net exposures after correlations among currencies are accounted for in order to avoid duplication of hedges, and condensation of the parameters governing hedging decision into a single, intuitively-appealing number. The paper also highlights the need to frequently update the model’s assumptions as currency correlations and corporate exposures remain dynamic.   JEL Classification Codes: C10, F31, G32, M20.
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