The Brazilian financial market reaction to COVID-19: A wavelet analysis
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DOI: 10.1016/j.iref.2022.05.010
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- Ramsey James B. & Lampart Camille, 1998. "The Decomposition of Economic Relationships by Time Scale Using Wavelets: Expenditure and Income," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 3(1), pages 1-22, April.
- Aguiar-Conraria, Luis & Martins, Manuel M.F. & Soares, Maria Joana, 2018.
"Estimating the Taylor rule in the time-frequency domain,"
Journal of Macroeconomics, Elsevier, vol. 57(C), pages 122-137.
- Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2016. "Estimating the Taylor Rule in the Time-Frequency Domain," CEF.UP Working Papers 1404, Universidade do Porto, Faculdade de Economia do Porto.
- Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2018. "Estimating the Taylor Rule in the Time-Frequency Domain," NIPE Working Papers 04/2018, NIPE - Universidade do Minho.
- Ramsey, James B. & Zhang, Zhifeng, 1997. "The analysis of foreign exchange data using waveform dictionaries," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 341-372, December.
- Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
- Aguiar-Conraria, LuI´s & Joana Soares, Maria, 2011.
"Business cycle synchronization and the Euro: A wavelet analysis,"
Journal of Macroeconomics, Elsevier, vol. 33(3), pages 477-489, September.
- Luís Francisco Aguiar & Maria Joana Soares, 2010. "Business Cycle Synchronization and the Euro: a Wavelet Analysis," NIPE Working Papers 36/2010, NIPE - Universidade do Minho.
- Rua, António & Nunes, Luís C., 2009.
"International comovement of stock market returns: A wavelet analysis,"
Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
- António Rua & Luís Catela Nunes, 2009. "International comovement of stock market returns: a wavelet analysis," Working Papers w200904, Banco de Portugal, Economics and Research Department.
- Matos, Paulo & Costa, Antonio & da Silva, Cristiano, 2021. "COVID-19, stock market and sectoral contagion in US: a time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 57(C).
- Scott R. Baker & Nicholas Bloom & Steven J. Davis & Kyle J. Kost & Marco C. Sammon & Tasaneeya Viratyosin, 2020. "The Unprecedented Stock Market Impact of COVID-19," NBER Working Papers 26945, National Bureau of Economic Research, Inc.
- Harding, Don & Pagan, Adrian, 2006.
"Synchronization of cycles,"
Journal of Econometrics, Elsevier, vol. 132(1), pages 59-79, May.
- Don Harding & Adrian Pagan, 2004. "Synchronization of cycles," CAMA Working Papers 2004-03, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Akhtaruzzaman, Md & Boubaker, Sabri & Sensoy, Ahmet, 2021.
"Financial contagion during COVID–19 crisis,"
Finance Research Letters, Elsevier, vol. 38(C).
- Md Akhtaruzzaman & Sabri Boubaker & Ahmet Sensoy, 2021. "Financial contagion during COVID–19 crisis," Post-Print hal-04455600, HAL.
- Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
- Mazur, Mieszko & Dang, Man & Vega, Miguel, 2021. "COVID-19 and the march 2020 stock market crash. Evidence from S&P1500," Finance Research Letters, Elsevier, vol. 38(C).
- Montero, Pablo & Vilar, José A., 2014. "TSclust: An R Package for Time Series Clustering," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 62(i01).
- Aguiar-Conraria, Luís & Azevedo, Nuno & Soares, Maria Joana, 2008. "Using wavelets to decompose the time–frequency effects of monetary policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2863-2878.
- Perron, Pierre, 1997.
"Further evidence on breaking trend functions in macroeconomic variables,"
Journal of Econometrics, Elsevier, vol. 80(2), pages 355-385, October.
- Perron, P., 1990. "Further Evidence On Breaking Trend Functions In Macroeconomics Variables," Papers 350, Princeton, Department of Economics - Econometric Research Program.
- Perron, P., 1994. "Further Evidence on Breaking Trend Functions in Macroeconomic Variables," Cahiers de recherche 9421, Universite de Montreal, Departement de sciences economiques.
- Perron, P., 1994. "Further Evidence on Breaking Trend Functions in Macroeconomic Variables," Cahiers de recherche 9421, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
- Ramsey, James B. & Lampart, Camille, 1998. "Decomposition Of Economic Relationships By Timescale Using Wavelets," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 49-71, March.
- Belhassine, Olfa & Karamti, Chiraz, 2021. "Contagion and portfolio management in times of COVID-19," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 73-86.
- Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
- Gençay, Ramazan & Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon J., 2001. "An Introduction to Wavelets and Other Filtering Methods in Finance and Economics," Elsevier Monographs, Elsevier, edition 1, number 9780122796708.
- Corbet, Shaen & Larkin, Charles & Lucey, Brian, 2020. "The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies," Finance Research Letters, Elsevier, vol. 35(C).
- Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
- Sharif, Arshian & Aloui, Chaker & Yarovaya, Larisa, 2020. "COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
- Ashraf, Badar Nadeem, 2020. "Stock markets’ reaction to COVID-19: Cases or fatalities?," Research in International Business and Finance, Elsevier, vol. 54(C).
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- Gu, Tiantian & Venkateswaran, Anand & Erath, Marc, 2023. "Impact of fiscal stimulus on volatility: A cross-country analysis," Research in International Business and Finance, Elsevier, vol. 65(C).
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- Almeida, José & Gaio, Cristina & Gonçalves, Tiago Cruz, 2024. "Crypto market relationships with bric countries' uncertainty – A wavelet-based approach," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- Yunfeng Shang & Pan Qi & Hui Chen & Qin Yang & Yuan Chen, 2023. "COVID-19 and its impact on tourism sectors: implications for green economic recovery," Economic Change and Restructuring, Springer, vol. 56(2), pages 941-958, April.
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More about this item
Keywords
Brazilian stock market; COVID-19 impacts; Lead-lag conditional relationships; Time-frequency domain; Wavelets;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
- O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
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