Value-At-Risk Based Approach For Currency Hedging

Rachna Khurana, Umang Khetan
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Abstract

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.
基于风险价值的货币对冲方法
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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