Since the onset of the the COVID-19 pandemic, many countries across the world have implemented various non-pharmaceutical interventions (NPIs) to contain the spread of virus, as well as economic support policies (ESPs) to save their economies. The pandemic and the associated NPIs have triggered unprecedented waves of economic shocks to the financial markets, including the foreign exchange (FX) markets. Although there are some studies exploring the impact of the NPIs and ESPs on FX markets, the relative impact of individual NPIs or ESPs has not been studied in a combined framework. In this work, we investigate the relative impact of NPIs and ESPs with Explainable AI (XAI) techniques. Experiments over exchange rate data of G10 currencies during the period from January 1, 2020 to January 13, 2021 suggest strong impacts on exchange rate markets by all measures of the strict lockdown, such as stay at home requirements, workplace closing, international travel control, and restrictions on internal movement. Yet, the impact of individual NPI and ESP can vary across different currencies. To the best of our knowledge, this is the first work that uses XAI techniques to study the relative impact of NPIs and ESPs on the FX market. The derived insights can guide governments and policymakers to make informed decisions when facing with the ongoing pandemic and a similar situation in the near future.
翻译:自COVID-19大流行以来,世界上许多国家采取了各种非药物性干预措施(NPI)来遏制病毒的传播,并采取了经济支持政策(ESP)来拯救其经济。这一大流行病和相关的NPI引发了金融市场前所未有的经济冲击浪潮,包括外汇市场。虽然有一些研究探讨NPI和ESP对FX市场的影响,但个别非药物性刺激或ESP的相对影响并没有在一个综合框架内加以研究。在这项工作中,我们用可解释的AI(XAI)技术调查了NPI和ESP的相对影响。在2020年1月1日至1月13日期间,对G10货币汇率数据的实验引发了前所未有的对包括外汇市场(FX)市场在内的金融市场的经济冲击浪潮。尽管有一些研究探讨国家价格指数和ESP对FX市场的影响,例如呆在家里的要求、关闭工作场所、国际旅行管制和对内部流动的限制。然而,个人国家价格指数和ESPEP的影响在不同货币间的影响可能有所不同。我们最了解的情况是,在接近NAVI的情形下,这是对正在不断采用AVI技术进行的研究时,而使决策者对未来作出类似的决策时,这是对美国SISISISLA技术的研究。