COVID-19 and currency dependences: Empirical evidence from BRICS
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DOI: 10.1016/j.frl.2021.102119
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Cited by:
- 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.
- Bhatia, Shipra & Tuteja, Divya, 2024. "Contagion and linkages across international currencies," International Review of Financial Analysis, Elsevier, vol. 94(C).
- Naveed, Hafiz Muhammad & HongXing, Yao & Memon, Bilal Ahmed & Ali, Shoaib & Alhussam, Mohammed Ismail & Sohu, Jan Muhammad, 2023. "Artificial neural network (ANN)-based estimation of the influence of COVID-19 pandemic on dynamic and emerging financial markets," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
- Xu, Yingying & Lien, Donald, 2022. "Assessing the impact of COVID-19 on price Co-movements in China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
- Ahmed BenSaïda, 2023. "The linkage between Bitcoin and foreign exchanges in developed and emerging markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
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More about this item
Keywords
COVID-19; Foreign exchange; Dependence; GAS; Copula;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- F31 - International Economics - - International Finance - - - Foreign Exchange
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
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