RESPOSTA DO MERCADO ACIONISTA PERUANO AOS EFEITOS DO CONTÁGIO FINANCEIRO DURANTE A PANDEMIA DE COVID-19
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- Articles
- Enviado: março 31, 2023
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Publicado: abril 16, 2024
Resumo
O objetivo da investigação foi analisar o efeito da pandemia de Covid-19 sobre a presença de contágio financeiro e a resposta do mercado bolsista peruano aos impulsos que ocorreram nos mercados bolsistas de vários países emergentes e desenvolvidos durante a crise sanitária da Covid-19; também realizou uma análise comparativa dos efeitos da volatilidade em tempos pré e pós-pandémicos. A metodologia utilizada aplicou modelos de correlação dinâmica e vetorial autoregressivo em séries temporais diárias de índices bolsistas entre janeiro de 2005 e dezembro de 2022. Foram estimadas as correlações dinâmicas condicionais e a causalidade de Granger, e os resultados mostraram um aumento significativo do índice de correlação dinâmica no período de crise em relação aos períodos pré-crise e mesmo superior ao período da crise financeira dos EUA de 2008, e a causalidade foi estimada em níveis desfasados óptimos, bem como as respostas do mercado bolsista peruano como prova empírica de contágio financeiro. A investigação é importante para a política monetária no Peru, para a fixação de preços no mercado bolsista e para a diversidade de opções na estruturação de carteiras de investimento com activos financeiros internacionais que procuram eficiência na gestão do risco e do retorno.
Referências
- Akhtaruzzaman, M., Boubaker, S, y Sensoy, A. (2021). Financial contagion during COVID-19 crisis. Finance Research Letters, 38(2). https://doi.org/10.1016/j.frl.2020.101604
- Andries, A. M. y Galasan, E. (2020). Measuring Financial Contagion and Spillover Effects with a State-Dependent Sensitivity Value-at-Risk Model. Risks, 8(1), 5. https://doi.org/10.3390/risks8010005
- Baumöhl, E., Bouri, E., Hoang, T., Shahzad, S. y Výrost, T. (2020). From physical to financial contagion: the COVID-19 pandemic and increasing systemic risk among Banks. ZBW – Leibniz Information Centre for Economics, Kiel, Hamburg. http://hdl.handle.net/10419/218944
- Black, F. y Litterman, R. (1992). Global Portfolio Optimization. Financial Analysts Journal, 48(5), 28-43. http://www.jstor.org/stable/4479577
- Bernardi, B. (2005). El contagio financiero en países emergentes. Pensamiento y Gestion, (19), 43-77. https://www.redalyc.org/pdf/646/64601903.pdf
- Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31(3). https://doi.org/10.1016/0304-4076(86)90063-1
- Celik, S. (2012). The more contagion effect on emerging markets: The evidence of DCC–MGARCH model. Economic Modelling, 29(5), 1946-1959 https://doi.org/10.1016/j.econmod.2012.06.011
- Chiang, T., Jeon, B. y Li, H. (2007). Dynamic correlation analysis of financial contagion. Evidence from Asian markets. Journal of International Money and Finance, 26(7), 1206-1228. https://doi.org/10.1016/J.JIMONFIN.2007.06.005
- Corbet, S., Hou, Y. y Oxley, L. (2022). Financial contagion among COVID-19 concept related stocks in China. Applied Economics, 54(21), 2439-2452 https://doi.org/10.1080/00036846.2021.1990844
- Corredor, C. A. y Vega, S. (2012). Análisis de corto plazo del contagio de variables y noticias financieras en Estados Unidos y Colombia. Revista de Economía del Caribe, (9), 42-78.
- Chowdhury, E. K., Dhar, B. K. y Stasi, A. (2022). Volatility of the US stock market and business strategy during COVID‐19. Business Strategy & Development, 5(4), 350-360. https://doi.org/10.1002/bsd2.203
- Dajčman, S. y Festić, M. (2012). Interdependence between the Slovenian and European Stock Markets – A DCC-Garch Analysis. Economic Research-Ekonomska Istraživanja, 25(2), 379-395. https://doi.org/10.1080/1331677X.2012.11517513
- Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50, 987-1007.
- Engle, R.F. (2002). Dynamic Conditional Correlation. Journal of Business & Economic Statistics, 20, 339-350.
- Enders, W. (2014). Applied Econometric Time Series. John Wiley & Son, Inc.
- Fischer, S. (1977). Long-Term Contracts, Rational Expectations, and the Optimal Money Supply Rule. Journal of Political Economy, 85(1), 191-205. http://www.jstor.org/stable/1828335
- Gorun, A., Acatrinei, M. y Marcu, N, (2013). A DCC-GARCH Model to Estimate the Risk to the Capital Market in Romania. Journal for Economic Forecasting, Institute for Economic Forecasting, 0(1), 136-148.
- Gunay, S., Bakry, W. y Al-Mohamad, S. (2021). The Australian Stock Market’s Reaction to the First Wave of the COVID-19 Pandemic and Black Summer Bushfires; A Sectoral Analysis. Journal of Risk and Financial Management, 14(4). https://doi.org/10.3390/jrfm14040175
- Gutiérrez, D. (2020). ¿Ocurrió efecto contagio en los mercados de acciones de América Latina durante la crisis financiera global?, Revista de Métodos Cuantitativos para la Economía y la Empresa, 29(9), 237-258. https://doi.org/10.46661/revmetodoscuanteconempresa.3312
- Granger, C. W. (1969). Investing causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 421-438.
- Granger, C. W. (1980). Testing for causality. A personal viewpoint. Journal of Economic Dynamic Control, 2, 329-352.
- Granger, C. W. (1988). Some recent development in a concept of causality. Journal of Econometrics, 39(1), 199-211.
- Grubel, H. (1968). Internationally Diversified Portfolios Welfare Gains and Capital Flows. American Economic Review, 58(5), 1299-1314.
- Hansen, K. (2021). Financial contagion: problems of proximity and connectivity in financial markets. Journal of Cultural Economy, 14(4), 388-402. https://doi.org/10.1080/17530350.2021.1879211
- Karungu, R. M., Memba, F. S. y Muturi, W. M. (2020). Influence of financial contagion on stock performance of firms listed in the Nairobi securities exchange. Accounting, 6(1), 1-16. https://doi.org/10.5267/j.ac.2019.7.001
- Le, T. P. T. D. y Tran, H. L. M. (2021). The Contagion Effect from U.S. Stock Market to the Vietnamese and the Philippine Stock Markets: The Evidence of DCC – GARCH Model. The Journal of Asian Finance, Economics and Business, 8(2), 759-770. https://doi.org/10.13106/jafeb.2021.vol8.no2.0759
- Lehnert, T. (2022). Flight-to-safety and retail investor behavior. International Review of Financial Analysis, 81(3), https://doi.org/10.1016/j.irfa.2022.102142
- Londoño, G. (2005). Modelos de ecuaciones múltiples: modelos VAR y cointegración [Tesis de maestría, Universidad EAFIT]. https://core.ac.uk/download/pdf/47236804.pdf
- Markowitz, H. (1952). Portfolio selection. Journal of Finance, 7(1), 77-91.
- Nica, I. (2020). Conceptual dimensions regarding the financial contagion and the correlation with the stock in Romania. Theoretical and Applied Economics 27(1), 75-86. https://EconPapers.repec.org/RePEc:agr:journl:v:xxvii:y:2020:i:1(622:p:75-86
- Novales, A. (2017). Modelos vectoriales autoregresivos (VAR). España: Universidad Complutense. https://www.ucm.es/data/cont/media/www/pag-41459/VAR.pdf
- Paskaleva, M. y Stoykova, A. (2021). Globalization effects on contagion risks in financial markets. Ekonomicko-Manazerske Apektrum, 15(1), 38-54. http://doi.org/10.26552/ems.2021.1.38-54
- Piffaut, P. y Rey, A. (2016). Integración, contagio financiero y riesgo bursátil: ¿qué nos dice la evidencia empírica para el periodo 1995-2016? Cuadernos de Economía, 39(1). https://doi.org/10.1016/j.cesjef.2016.09.003
- Rajhans, R. K. y Jain, A. (2015). Volatility Spillover in Foreign Exchange Markets. Paradigm, 19(2), 137-151. https://doi.org/10.1177/0971890715609846
- Righi, M. B. y Ceretta, P. S. (2012). Global Risk Evolution and Diversification: A Copula-DCC-GARCH Model Approach. Revista Brasileira de Finanças, 10(4), 529-550. https://doaj.org/article/3217182249064538b0bc20aaee0f66d3
- Rodríguez, D. y Perrotini, I. (2019). Las correlaciones dinámicas de contagio financiero: Estados Unidos y América Latina. Revista Mexicana de Economía y Finanzas, 14(2), 151-168. https://doi.org/10.21919/remef.v14i2.316
- Ronderos, N. (2016). Una visión unificada del contagio en mercados financieros: un enfoque causal en el dominio de la frecuencia [Tesis de maestría, Pontificia Universidad Javeriana]. Repositorio Institucional Javeriano. https://doi.org/https://doi.org/10.11144/Javeriana.10554.19460
- Sandoval-Paucar, G. (2020). Efectos de propagación de los mercados financieros estadounidenses en los colombianos. Cuadernos de Economía, 39(81), 667-702. https://doi.org/10.15446/cuad.econ.v39n81.77091
- Shen, Y., Jiang, Z. y Ma, J. (2021). Sector connectedness in the Chinese stock markets. Empirical Economics, 62, 825-852. https://doi.org/10.1007/s00181-021-02036-0
- Shobande, O. A. y Enemona, J. O. (2021). A Multivariate VAR Model for Evaluating Sustainable Finance and Natural Resource Curse in West Africa: Evidence from Nigeria and Ghana. Sustainability, 13(5), 2847. https://doi.org/10.3390/su13052847
- Silvennoinen, A. & Teräsvirta, T. (2009). Modeling Multivariate Autoregressive Conditional Heteroskedasticity with the Double Smooth Transition Conditional Correlation GARCH Model, The Journal of Financial Econometrics, Society for Financial Econometrics, 7(4), 373-411, Fall.
- Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1-48. https://doi.org/10.2307/1912017
- Trabelsi, M. A. y Hmida, S. (2018). A Dynamic Correlation Analysis of Financial Contagion: Evidence from the Eurozone Stock Markets. Entrepreneurial Business and Economics Review, 6(3), 129-141. https://doi.org/10.15678/EBER.2018.060308
- Vega, M. y Suclupe, L. (junio, 2020). La pandemia del COVID-19. Revista Moneda, (182), 4-9. https://www.bcrp.gob.pe/publicaciones/revista-moneda/revista-moneda-182.html
- Vera, M. (2019). Contagion of the Shareholder market: cases of Colombia, México, Perú, Chile and Argentina. Dimensión Empresarial, 18(1). https://doi.org/10.15665/dem.v18i(1).2068
- Wang, H., Yuan, Y., Li, Y. y Wang, X. (2021). Financial contagion and contagion channels in the forex market: A new approach via the dynamic mixture copula-extreme value theory. Economic Modelling, 94, 401-414. https://doi.org/10.1016/j.econmod.2020.10.002
- Wu, J., Zhang, C. y Chen, Y. (2022). Analysis of risk correlations among stock markets during the COVID-19 pandemic. International Review of Financial Analysis, 83, 102220. https://doi.org/10.1016/j.irfa.2022.102220
- Zivot, E. y Wang, J. (2006). Modeling financial time series with S-PLUS, vol. 2. New York: Springer.
- Zorgati, I. y Garfatta, R. (2021). Spatial financial contagion during the outbreak: Local correlation approach. The Journal of Economic Asymmetries, 24(2). https://doi.org/10.1016/j.jeca.2021.e00223