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Asymmetric impact of the COVID-19 pandemic on foreign exchange markets: Evidence from an extreme quantile approach

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  • Ngo Thai Hung
  • Vo Xuan Vinh

Abstract

This study analyzes asymmetric transmission from the COVID-19 pandemic to major foreign exchange markets from 2 January 2020 to 2 June 2022. This paper contributes to the literature by investigating how the impact of COVID-19 on currency markets co-moves across market conditions and investment horizons. The article uses the recently developed cross-quantilogram framework to achieve this, which quantifies the cross-quantile dependency across time series without any moment condition requirement. The findings demonstrate that changes in the total daily global confirmed cases of COVID-19 can forecast changes in the currency markets under all market circumstances. These findings have significant implications for global investors and policymakers.

Suggested Citation

  • Ngo Thai Hung & Vo Xuan Vinh, 2023. "Asymmetric impact of the COVID-19 pandemic on foreign exchange markets: Evidence from an extreme quantile approach," Economics and Business Letters, Oviedo University Press, vol. 12(1), pages 20-32.
    • Handle: RePEc:ove:journl:aid:18298
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    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/18298
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    References listed on IDEAS

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    1. Han, Heejoon & Linton, Oliver & Oka, Tatsushi & Whang, Yoon-Jae, 2016. "The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series," Journal of Econometrics, Elsevier, vol. 193(1), pages 251-270.
    2. Linh Pham, 2021. "How Integrated are Regional Green Equity Markets? Evidence from a Cross-Quantilogram Approach," JRFM, MDPI, vol. 14(1), pages 1-58, January.
    3. Gunay, Samet, 2021. "Comparing COVID-19 with the GFC: A shockwave analysis of currency markets," Research in International Business and Finance, Elsevier, vol. 56(C).
    4. Bernard Njindan Iyke, 2020. "The Disease Outbreak Channel of Exchange Rate Return Predictability: Evidence from COVID-19," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2277-2297, August.
    5. Syed Jawad Hussain Shahzad & Rangan Gupta & Riza Demirer & Christian Pierdzioch, 2020. "Oil-Shocks and Directional Predictability of Macroeconomic Uncertainties of Developed Economies: Evidence from High-Frequency Data," Working Papers 202031, University of Pretoria, Department of Economics.
    6. Xu, Yingying & Lien, Donald, 2022. "COVID-19 and currency dependences: Empirical evidence from BRICS," Finance Research Letters, Elsevier, vol. 45(C).
    7. Linton, O. & Whang, Yoon-Jae, 2007. "The quantilogram: With an application to evaluating directional predictability," Journal of Econometrics, Elsevier, vol. 141(1), pages 250-282, November.
    8. Narayan, Paresh Kumar, 2022. "Understanding exchange rate shocks during COVID-19," Finance Research Letters, Elsevier, vol. 45(C).
    9. Sudhi Sharma & Miklesh Prasad Yadav & Babita Jha, 2022. "Impact of the COVID-19 Outbreak on the Currency Exchanges of Selected Countries," International Journal of Sociotechnology and Knowledge Development (IJSKD), IGI Global, vol. 14(2), pages 73-91, April.
    10. Beckmann, Joscha & Czudaj, Robert L., 2022. "Exchange rate expectation, abnormal returns, and the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 1-25.
    11. Hung, Ngo Thai & Vo, Xuan Vinh, 2021. "Directional spillover effects and time-frequency nexus between oil, gold and stock markets: Evidence from pre and during COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 76(C).
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    1. Bhatia, Shipra & Tuteja, Divya, 2024. "Contagion and linkages across international currencies," International Review of Financial Analysis, Elsevier, vol. 94(C).
    2. Palwishah, Rana & Kashif, Muhammad & Rehman, Mobeen Ur & Al-Faryan, Mamdouh Abdulaziz Saleh, 2024. "Asymmetric liquidity risk and currency returns before and during COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 91(C).

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