An Investigation of the Impact of COVID-19 Non-Pharmaceutical Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques
Siyuan Liu, Mehmet Orcun Yalcin, Hsuan Fu, Xiuyi Fan

TL;DR
This study uses Explainable AI to analyze how COVID-19 non-pharmaceutical interventions and economic support policies affected foreign exchange markets, revealing varied impacts across currencies and providing insights for policymakers.
Contribution
First to apply XAI techniques to assess the relative impact of NPIs and ESPs on FX markets during COVID-19, offering a combined framework for analysis.
Findings
Strict lockdown measures significantly impacted FX rates.
Impact varies across different currencies.
Insights can inform future policy decisions.
Abstract
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…
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Taxonomy
TopicsMarket Dynamics and Volatility · Stock Market Forecasting Methods · Financial Markets and Investment Strategies
MethodsEmirates Airlines Office in Dubai · Hierarchical Feature Fusion · Pointwise Convolution · Dilated Convolution · Efficient Spatial Pyramid
