Deviations from Covered Interest Rate Parity: The Case of British Pound Sterling versus Euro

F. Lehrbass, Thamara Sandra Schuster
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引用次数: 3

Abstract

The authors find that the foreign exchange derivatives market for British pound sterling versus euro deviates from the covered interest rate parity (CIP). The resulting arbitrage opportunities seem to be persistent and vary systematically. They are driven not only by Brexit-related politics. The authors find a relation between the cross-currency basis and various factors. Furthermore, they discover nonlinearities that require the application of deep learning methods. The findings are important for arbitrage desks: They show when arbitrage opportunities will become large for international trade, when to look for better alternatives than hedging with forwards, and when corporate treasuries should procure currencies—that are about to become scarce—in advance. TOPICS: Big data/machine learning, currency, simulations Key Findings ▪ We focus on the investigation of deviations from covered interest rate parity on the British pound and the euro and include event-driven factors. ▪ Arbitrage opportunities seem to be persistent and vary systematically. We make the driving factors explicit. ▪ The presence of nonlinearities requires the application of methods from deep learning. It is shown that deep learning adds value. Equipped with better forecasts, arbitrage desks can prepare for days when there are large arbitrage gains. Corporates can punctually adapt their procurement of currencies that are about to become scarce.
偏离担保利率平价:英镑对欧元的案例
作者发现,英镑兑欧元的外汇衍生品市场偏离了覆盖利率平价(CIP)。由此产生的套利机会似乎是持久的,并且系统性地变化。它们不仅受到与英国脱欧有关的政治因素的驱动。作者发现了交叉货币基数与各种因素之间的关系。此外,他们发现了需要应用深度学习方法的非线性。这些发现对套利交易部门来说很重要:它们显示了国际贸易的套利机会何时会变得很大,何时应该寻找比远期对冲更好的替代方案,以及公司财务部门何时应该提前购买即将变得稀缺的货币。主题:大数据/机器学习,货币,模拟主要发现▪我们专注于调查英镑和欧元有保障利率平价的偏差,并包括事件驱动因素。•套利机会似乎是持续存在的,并且有系统地变化。我们明确了驱动因素。▪非线性的存在需要应用深度学习的方法。结果表明,深度学习增加了价值。有了更好的预测,套利部门可以为套利收益较大的日子做好准备。企业可以及时调整购买即将变得稀缺的货币。
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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