COVID-19 and currency market: a comparative analysis of exchange rate movement in China and USA during pandemic

References

• Alam, I., & Quazi, R. (2003). Determinants of capital flight: An econometric case study of Bangladesh. International Review of Applied Economics, 17(1), 85–103. https://doi.org/10.1080/713673164
   Google Scholar
• Albulescu, C. (2020). Do COVID-19 and crude oil prices drive the US economic policy uncertainty? ArXiv Preprint ArXiv, 2003(07591).
   Google Scholar
• Apergis, N., & Apergis, E. (2020). The role of Covid-19 for Chinese stock returns: Evidence from a GARCHX model. Asia-Pacific Journal of Accounting & Economics, 1–9.
   Web of Science ®Google Scholar
• Banerjee, A., Dolado, J., & Mestre, R. (1998). Error‐correction mechanism tests for cointegration in a single‐equation framework. Journal of Time Series Analysis, 19(3), 267–283. https://doi.org/10.1111/1467-9892.00091
   Google Scholar
• Boswijk, H. P. (1994). Testing for an unstable root in conditional and structural error correction models. Journal of Econometrics, 63(1), 37–60.
   Web of Science ®Google Scholar
• CAMBA, A. L., & CAMBA, A. C., Jr. (2020). The effect of COVID-19 pandemic on the Philippine stock exchange, Peso-Dollar Rate and retail price of diesel. The Journal of Asian Finance, Economics and Business, 7(10), 543–553. https://doi.org/10.13106/jafeb.2020.vol7.no10.543
   Web of Science ®Google Scholar
• Cepoi, C.-O. (2020). Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil. Finance Research Letters, 36, 101658. https://doi.org/10.1016/j.frl.2020.101658
   PubMed Web of Science ®Google Scholar
• Devpura, N. (2021). Effect of COVID-19 on the relationship between Euro/USD exchange rate and oil price. MethodsX, 8, 101262. https://doi.org/10.1016/j.mex.2021.101262
   PubMed Web of Science ®Google Scholar
• Dickey, D. A., & Fuller, W. A. (1981). The likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072. https://doi.org/10.2307/1912517
   Web of Science ®Google Scholar
• Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for auto regressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431. https://doi.org/10.2307/1912517
   Google Scholar
• Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. https://doi.org/10.2307/1913236
   Web of Science ®Google Scholar
• Erokhin, V., & Gao, T. (2020). Impacts of COVID-19 on trade and economic aspects of food security: Evidence from 45 developing countries. International Journal of Environmental Research and Public Health, 17(16), 5775. https://doi.org/10.3390/ijerph17165775
   PubMed Web of Science ®Google Scholar
• Feng, G.-F., Yang, H.-C., Gong, Q., & Chang, C.-P. (2021). What is the exchange rate volatility response to COVID-19 and government interventions? Economic Analysis and Policy, 69, 705–719. https://doi.org/10.1016/j.eap.2021.01.018
   Web of Science ®Google Scholar
• Gao, X., Ren, Y., & Umar, M. (2021). To what extent does COVID-19 drive stock market volatility? A comparison between the U.S. and China. Economic Research-Ekonomska Istraživanja, 1–21. https://doi.org/10.1080/1331677X.2021.1906730
   Web of Science ®Google Scholar
• Gherghina, Ș. C., Armeanu, D. Ș., & Joldeș, C. C. (2020). Stock market reactions to Covid-19 pandemic outbreak: Quantitative evidence from ARDL bounds tests and Granger causality analysis. International Journal of Environmental Research and Public Health, 17(18), 6729. https://doi.org/10.3390/ijerph17186729
   PubMed Web of Science ®Google Scholar
• Gormsen, N. J., & Koijen, R. S. (2020). Coronavirus: Impact on stock prices and growth expectations. The Review of Asset Pricing Studies, 10(4), 574–597. https://doi.org/10.1093/rapstu/raaa013
   Web of Science ®Google Scholar
• Govindaraju, V. C., & Tang, C. F. (2013). The dynamic links between CO2 emissions, economic growth and coal consumption in China and India. Applied Energy, 104, 310–318. https://doi.org/10.1016/j.apenergy.2012.10.042
   Web of Science ®Google Scholar
• Griffith, R., Levell, P., & Stroud, R. (2020). The impact of COVID‐19 on share prices in the UK. Fiscal Studies, 41(2), 363–369. https://doi.org/10.1111/1475-5890.12226
   PubMed Web of Science ®Google Scholar
• Handoyo, R. D. (2020). Impact of COVID 19 on trade, FDI, real exchange rate and era of digitalization: Brief review global economy during pandemic. Journal of Developing Economies, 5(2), 86–90. https://doi.org/10.20473/jde.v5i2.23641
   Google Scholar
• Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2-3), 231–254. https://doi.org/10.1016/0165-1889(88)90041-3
   Web of Science ®Google Scholar
• Johansen, S., & Juselius, K. (2009). Maximum likelihood estimation and inference on cointegration—With appucations to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169–210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x
   Web of Science ®Google Scholar
• Lundgren, E., Outtara, L., Mikkelsen, A., Andersen, J. N., Sefert, W., & Samuelson, L. (2004). A cross-sectional STM study of nanowhiskers. In APS March Meeting Abstracts (Vol. 2004, pp. R1–290).
   Google Scholar
• Mirza, N., Hasnaoui, J. A., Naqvi, B., & Rizvi, S. K. A. (2020). The impact of human capital efficiency on Latin American mutual funds during Covid-19 outbreak. Swiss Journal of Economics and Statistics, 156(1), 16–17. https://doi.org/10.1186/s41937-020-00066-6
   PubMedGoogle Scholar
• Mirza, N., Naqvi, B., Rahat, B., & Rizvi, S. K. A. (2020). Price reaction, volatility timing and funds’ performance during Covid-19. Finance Research Letters, 36, 101657. https://doi.org/10.1016/j.frl.2020.101657
   PubMed Web of Science ®Google Scholar
• Pasiouras, A., & Daglis, T. (2020). The dollar exchange rates in the Covid-19 era: Evidence from 5 currencies. European Research Studies Journal, 23(Special 2), 352–361.
   Google Scholar
• Perron, P. (1988). Trends and random walks in macroeconomic time series: Further evidence from a new approach. Journal of Economic Dynamics and Control, 12(2-3), 297–332. https://doi.org/10.1016/0165-1889(88)90043-7
   Web of Science ®Google Scholar
• Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326.
   Google Scholar
• Pesaran, M. H., Shin, Y., & Smith, R. J. (2000). Structural analysis of vector error correction models with exogenous I (1) variables. Journal of Econometrics, 97(2), 293–343. https://doi.org/10.1016/S0304-4076(99)00073-1
   Web of Science ®Google Scholar
• Pesaran, M. H., Shin, Y., & Smith, R. P. (1999). Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association, 94(446), 621–634. https://doi.org/10.1080/01621459.1999.10474156
   Web of Science ®Google Scholar
• Peseran, M. H., & Peseran, B. (1997). Working with Microfit 4: Interactive econometric analysis. Oxford University Press.
   Google Scholar
• Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335
   Web of Science ®Google Scholar
• Pk, N. (2005). The saving and investment nexus for China: Evidence from cointegration tests. Appl Econ, 37(17), 1979–1990.
   Web of Science ®Google Scholar
• Rizvi, S. K. A., Mirza, N., Naqvi, B., & Rahat, B. (2020). Covid-19 and asset management in EU: A preliminary assessment of performance and investment styles. Journal of Asset Management, 21(4), 281–291. https://doi.org/10.1057/s41260-020-00172-3
   Web of Science ®Google Scholar
• Rizvi, S. K. A., Yarovaya, L., Mirza, N., & Naqvi, B. (2020). The impact of COVID-19 on valuations of non-financial European firms. Available at SSRN 3705462.
   Google Scholar
• Sezgin, S., & Yildirim, J. (2002). The demand for Turkish defence expenditure. Defence and Peace Economics, 13(2), 121–128. https://doi.org/10.1080/10242690210973
   Web of Science ®Google Scholar
• Su, C.-W., Dai, K., Ullah, S., & Andlib, Z. (2021). COVID-19 pandemic and unemployment dynamics in European economies. Economic Research-Ekonomska Istraživanja, 1–13. https://doi.org/10.1080/1331677X.2021.1912627
   Web of Science ®Google Scholar
• Su, C.-W., Huang, S.-W., Qin, M., & Umar, M. (2021). Does crude oil price stimulate economic policy uncertainty in BRICS? Pacific-Basin Finance Journal, 66, 101519. https://doi.org/10.1016/j.pacfin.2021.101519
   Web of Science ®Google Scholar
• Su, C.-W., Song, Y., & Umar, M. (2021). Financial aspects of marine economic growth: From the perspective of coastal provinces and regions in China. Ocean & Coastal Management, 204, 105550. https://doi.org/10.1016/j.ocecoaman.2021.105550
   Web of Science ®Google Scholar
• Syed, A. A. S., & Fatima, K. (2021). The impact of COVID-19 on stock market volatility in Pakistan. ArXiv Preprint ArXiv, 2103, 03219.
   Google Scholar
• Umar, M., Ji, X., Kirikkaleli, D., Shahbaz, M., & Zhou, X. (2020). Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development? Sustainable Development, 28(6), 1678–1688. https://doi.org/10.1002/sd.2116
   Web of Science ®Google Scholar
• Umar, M., Mirza, N., Rizvi, S. K. A., & Furqan, M. (2021a). Asymmetric volatility structure of equity returns: Evidence from an emerging market. The Quarterly Review of Economics and Finance, https://doi.org/10.1016/j.qref.2021.04.016
   Web of Science ®Google Scholar
• Umar, M., Rizvi, S. K. A., & Naqvi, B. (2021b). Dance with the devil? The nexus of fourth industrial revolution, technological financial products and volatility spillovers in global financial system. Technological Forecasting and Social Change, 163, 120450. https://doi.org/10.1016/j.techfore.2020.120450
   Web of Science ®Google Scholar
• Umar, M., Su, C.-W., Rizvi, S. K. A., & Shao, X.-F. (2021c). Bitcoin: A safe haven asset and a winner amid political and economic uncertainties in the US? Technological Forecasting and Social Change, 167, 120680. https://doi.org/10.1016/j.techfore.2021.120680
   Web of Science ®Google Scholar
• Yarovaya, L., Mirza, N., Abaidi, J., & Hasnaoui, A. (2021). Human capital efficiency and equity funds’ performance during the COVID-19 pandemic. International Review of Economics & Finance, 71, 584–591. https://doi.org/10.1016/j.iref.2020.09.017
   Web of Science ®Google Scholar
• Zivot, E., & Andrews, D. W. K. (2002). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 20(1), 25–44. https://doi.org/10.1198/073500102753410372
   Web of Science ®Google Scholar