dc.creatorSánchez Arévalo, Jorge Luis
dc.creatorFerreira de Andrade, Alisson Maxwell
dc.creatorde Oliveira Vendramin, Elisabeth
dc.date.accessioned2023-03-23 00:00:00
dc.date.available2023-03-23 00:00:00
dc.date.created2023-03-23 00:00:00
dc.date.issued2023-03-23
dc.identifier10.14718/revfinanzpolitecon.v15.n1.2023.2
dc.identifier2011-7663
dc.identifier2248-6046
dc.identifierhttps://doi.org/10.14718/revfinanzpolitecon.v15.n1.2023.2
dc.description.abstractEl riesgo sistémico causado por el COVID-19 afectó a todos los sectores de la economía y con ello se denotó la vulnerabilidad de algunos sectores en comparación con otros. En este contexto, llamó la atención el choque de oferta experimentado por el sector minero, que, en consecuencia, se tradujo en una alta apreciación de los precios. Vinculado a esto, y con efectos negativos, se produjo en este periodo la devaluación de los precios del petróleo, explicada, entre otros factores, por la guerra de precios entre los países productores. En este sentido, el presente estudio analiza la volatilidad del indicador bursátil brasileño considerando los precios de los productos antes mencionados y la cotización del dólar. Los resultados muestran la importancia de la formación de precios de estos mercados en la variación del indicador de la Bolsa de Brasil, y la apreciación de los precios del petróleo y el mineral Brent cotizados en el mercado de minerales básicos de Dalian (China) deriva en que el  indicador  Ibovespa vaya en la misma dirección. Además, en términos estadísticos, el estudio destaca la gran importancia del precio de la moneda extranjera como determinante en la variación del indicador de Ibovespa y, consecuentemente, con efectos en la intención de inversión.
dc.description.abstractThe systemic risk caused by COVID-19 affected all sectors of the economy, thus showing the vulnerability of some sectors in comparison to others. In this context, the supply shock experienced by the iron ore sector has drawn attention and resulted in a price increase. Linked to this, and in a negative way, oil prices fell due, among other factors, to the price war between producing countries. In this sense, this study analyses the volatility of the Brazilian stock market indicator in relation to the prices of the aforementioned products and the price of the dollar. The results show the importance of the price formation in these markets for the variation of the indicator. The appreciation of Brent oil and iron ore prices on the Dalian Commodity Exchange (DCE), in China, caused the Ibovespa indicator to move in the same direction. In addition, in statistical terms, the study highlights the great importance of the exchange rate as a determinant in the variation of the indicator and, consequently, affecting the intention to invest.
dc.languageeng
dc.publisherUniversidad Católica de Colombia
dc.relationhttps://revfinypolecon.ucatolica.edu.co/article/download/4406/4665
dc.relationhttps://revfinypolecon.ucatolica.edu.co/article/download/4406/4532
dc.relationhttps://revfinypolecon.ucatolica.edu.co/article/download/4406/4669
dc.relationNúm. 1 , Año 2023
dc.relation43
dc.relation1
dc.relation21
dc.relation15
dc.relationRevista Finanzas y Política Económica
dc.relationArevalo, J. L. S., de Souza, G. M., & Meurer, R. M. (2020). The Brazilian stock market indicator: Determinants to measure variation and direction. International Journal of Science and Management Studies (IJSMS), 3(5), 48-59. https://doi.org/10.51386/25815946/ijsms-v3i5p105
dc.relationArevalo, J. L. S., & Meurer, R. M. (2021). O papel do indicador de liberdade econômica e corrupção na atração de investimento: uma abordagem para países de América do Sul. Revista de Globalización, Competitividad y Gobernabilidad, 15(1). https://doi.org/10.3232/GCG.2021.V15.N1.01
dc.relationBanco Central do Brasil (BACEN) (2021). Informações estatísticas. https://www.bcb.gov.br
dc.relationBanco Mundial (2021). Dados do PIB dos países. https://data.worldbank.org/country/CN5. B3. Brasil, Bolsa, Balcão (2021). Bolsa de valores oficial do Brasil. Composição da carteira. https://www.b3.com.br/pt_br/market-data-e-indices/indices/indices-amplos/indice-ibovespa-ibovespa-composicao-da-carteira.htm
dc.relationBortoluzzo, M. M., Sakurai, S. N., & Bortoluzzo, A. B. (2021). Allocation of foreign direct investment across brazilian states. Estudos Econômicos, 43(2), 241-269. https://doi.org/10.1590/S0101-41612013000200002
dc.relationChowdhury, M. A. F., Meo, M. S., & Aloui, C. H. (2021). How world uncertainties and global pandemics destabilized food, energy and stock markets? Fresh evidence from quantile-on-quantile regressions. International Review of Financial Analysis, 76(101759). https://doi.org/10.1016/j.irfa.2021.101759
dc.relationDathein, R. (2021). Crise econômica e taxa de lucro nos EUA. Revista de Economia Contemporânea, 15(2), 322-341. https://doi.org/10.1590/S1415-98482011000200005
dc.relationDebata, B., & Mahakud, J. (2018). Interdependence between monetary policy and stock liquidity: A panel VAR approach. Margem: The Journal of Applied Economic Research, 12(4), 387-413. https://doi.org/ 10.1177/0973801018786270
dc.relationDickey, D.A., & Fuller, W.A. (1979). Distribution of the estimator for auto-regressive time series with a unit root. Journal of the American Statistical Association, Alexandria, 74, 427-431. https://doi.org/10.1080/01621459.1979.10482531
dc.relationDickey, D.A., & Fuller, W.A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057-1072. https://doi.org/10.2307/1912517
dc.relationDrenik, A., & Perez, J. P. (2021). Domestic price dollarization in emerging economies. Journal of Monetary Economics, 122, 38-55.
dc.relationEconomatica (2021). Informações financeiras de empresas e cotações de mercado. https://economatica.com
dc.relationEnergy Information Administration (EIA) (2021). Analise de mercados, petróleo global e outros combustíveis. https://www.eia.gov/outlooks/steo/report/global_oil.php
dc.relationEnders, W. (2014). Applied Econometric Time Series (4th ed.). Wiley.
dc.relationEscher, F., & Wilkinson, J. (2019). A economia política do complexo Soja- Carne Brasil. Revista de Economia e Sociologia Rural 57(4), 656-678. https://doi.org/10.1590/1806-9479.2019.191017
dc.relationFalato, A., Goldstein, I., & Hortaçsu, A. (2021). Financial fragility in the COVID-19 crisis: The case of investment funds in corporate bond markets. Journal of Monetary Economics, 123, 35-52. https://doi.org/10.1016/j.jmoneco.2021.07.001
dc.relationFuller, W. A. (1976). Introduction to statistical time series. John Wiley & Sons.
dc.relationGhazali, M. F., Lean, H. H., & Bahari, Z. (2020). Does Gold Investment Offer Protection Against Stock Market Losses? Evidence from Five Countries. The Singapore Economic Review (SER), 65(02), 275-301. https://doi.org/ 10.1142/S021759081950036X
dc.relationGouvea, R., Kapelianis, D., & Li, S. (2020). Fostering intra-BRICS trade and investment: The increasing role of China in the Brazilian and South African economies. Thunderbird International Business Review, 62(1), 17-26. https://doi.org/10.1002/tie.22098
dc.relationGreaves, J. G. (2018). Investigating saving and investment relationship: Evidence from an autoregressive distributed lag bounds testing approach in Liberia. International Journal of Economics and Financial Issues, 8(4), 89-104.
dc.relationInstituto Brasileiro de Geográfica e Estatística (IBGE) (2021). Produto Bruto Interno – PIB. https://www.ibge.gov.br/explica/pib.php
dc.relationInstituto Brasileiro de Mineração (IBRAM) (2021). Principais destinos das exportações minerais brasileiras. https://ibram.org.br/wp-content/uploads/2021/06/Infografico-Mineracao-em-Numeros-2020-NOVO.pdf
dc.relationJohansen, S. (1995). Likelihood-base inference in cointegrated vector auto-regressive models. Oxford University Press.
dc.relationJohansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economics Dynamics and Control, 12, 231- 254.
dc.relationKhan, R. E. A., & Ali, R. (2015). Causality analysis of volatility in exchange rate and stock market prices: A case study of Pakistan. Asian Economic and Financial Review, 5(5), 805–815. https://doi.org/10.18488/journal.aefr/2015.5.5/102.5.805.815
dc.relationLourenço, A. L. C. de, & Roos, B. C. (2015). Efeitos do aumento da produção de petróleo sobre o potencial de crescimento da economia brasileira: um modelo voltado para a projeção (2013-2020). Estudos Econômicos, 45(3). https://doi.org/10.1590/0101-416145367alb
dc.relationMaciel, L., Silveira, R. L. F., Luna, I., & Ballini, R. (2012). Impacto dos contratos futuros do Ibovespa na volatilidade dos índices de ações no Brasil: uma análise na crise do subprime. Estudos Econômicos, 42(4), 801-825. https://doi.org/10.1590/S0101-41612012000400006
dc.relationMandaci, P. E., & Kirkpinar, A. (2022). Oil assets and portfolio diversification: Firmlevel analysis for Borsa Istanbul. Borsa Istanbul Review, 22(3), 571-585. https://doi.org/10.1016/j.bir.2021.07.004
dc.relationMinistério da Indústria, Comércio Exterior e Serviços (MDIC) (2021). Informações sobre o comércio exterior. http://comexstat.mdic.gov.br/pt/home
dc.relationMilan, M., & Quadros, B. C. de (2016). A política monetária e a crise financeira: podem os Bancos Centrais se antecipar? Economia e Sociedade, 25(2), 341-372. https://doi.org/10.1590/1982-3533.2016v25n2art2
dc.relationMontes, G. C., & Tiberto, B. P. (2012). Macroeconomic environment, country risk and stock market performance: Evidence for Brazil. Economic Modelling, 29(5), 1666-1678. https://doi.org/10.1016/j.econmod.2012.05.027
dc.relationMroua, M., & Trabelsi, L. (2020). Causality and dynamic relationships between exchange rate and stock market indices in BRICS countries: Panel/GMM and ARDL analyses. Journal of Economics, Finance, and Administrative Science, 25(50), 395-412. https:// doi.org/10.1108/jefas-04-2019-0054
dc.relationOzkan, O. (2021). Impact of COVID-19 on stock market efficiency: Evidence from developed countries. Research in International Business and Finance, 58(101445). https://doi.org/10.1016/j.ribaf.2021.101445
dc.relationPadula, A. J. A., & Albuquerque, P. H. M. (2018). Government corruption on Brazilian capital markets: A study on Lava Jato (Car Wash) investigation. Revista de Administração de Empresas, 58(4), 405-417. https://doi.org/10.1590/S0034-759020180406
dc.relationPeersman, G., Ruth, S., & Veken, W. V. (2021). The interplay between oil and food commodity prices: Has it changed over time? Journal of International Economics, 133(103540). https://doi.org/10.1016/j.jinteco.2021.103540
dc.relationPesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-32. https://doi.org/10.1002/jae.616
dc.relationResende, M. F. da C., Terra, F. H. B., & Filho, F. F. (2021). Conventions, money creation and public debt to face the Covid-19 crisis and its aftermath: A post-Keynesian view. Brazilian Journal of Political Economy, [S. l.], 41(2), 254-270. https://doi.org/10.1590/0101-31572021-3260
dc.relationSantana, H. N., De Lima, S. A., & Ferreira, B. P. (2018). 20 Anos de Real: uma análise da relação entre câmbio, inflação, taxa de juros e o Ibovespa. Revista Gestão & Tecnologia, 18(2), 44-69.
dc.relationSaraç, T. B., & Karagoz, K. (2016). Impact of short-term interest rate on exchange rate: The case of Turkey. Procedia Economics and Finance, 38, 195-202. https://doi.org/10.1016/S2212-5671(16)30190-3
dc.relationSek, S. K., Teo, Q. T., & Wong, Y. N. (2015). A comparative study on the effects of oil price changes on inflation. Procedia Economics and Finance, 26, 630-636. https://doi.org/10.1016/S2212-5671%2815%2900800-X
dc.relationShakil, M. H., Mustapha, I. M., Tasnia, M., & Saiti, B. (2018). Is gold a hedge or a safe haven? An application of ARDL approach. Journal of Economics, Finance, and Administrative Science, 23(44), 60-76. https://doi.org/10.1108/JEFAS-03-2017-0052
dc.relationSolarin, S. A., & Eric, O. O. (2015). Impact of economic globalization on human capital: Evidence from nigerian economy. International Journal of Economics and Financial Issues, 5(3), 786-789.
dc.relationTuo, J., & Zhang, F. (2020). Modelling the iron ore price index: A new perspective from a hybrid data reconstructed EEMD-GORU model. Journal of Management Science and Engineering, 5(3), 212-225. https://doi.org/10.1016/j.jmse.2020.08.003
dc.relationUnited Nations Conference on Trade and Development (UNCTAD) (2021). Dados de taxa de câmbio entre os países. https://unctadstat.unctad.org/wds/TableViewer/tableView.aspx?ReportId=117
dc.relationYang, Y., Li, L., & Jiang, J. (2021). The Impact of COVID-19 pandemic on emerging country stock markets: Evidence of the value effect. Emerging Markets Finance and Trade, https://doi.org/10.1080/1540496X.2021.1973423
dc.relationZavadska, M., Morales, L., & Coughlan, J. (2020). Brent crude oil prices volatility during major crises. Finance Research Letters, 32(C). https://doi.org10.1016/j.frl.2018.12.026
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rightsEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0
dc.rightsJorge Luis Sánchez Arévalo - 2023
dc.sourcehttps://revfinypolecon.ucatolica.edu.co/article/view/4406
dc.subjectSupply and demand shock
dc.subjectBrazilian market
dc.subjectARDL Model
dc.subjectFinancial markets
dc.subjectEconometrics
dc.subjectChoque de oferta y demanda
dc.subjectmercado brasileño
dc.subjectmodelo ARDL
dc.subjectmercado financiero
dc.subjectEconometría
dc.titleLa respuesta de Ibovespa al comportamiento de los precios del petróleo y del mineral de hierro durante la crisis internacional causada por el COVID-19
dc.typeArtículo de revista


Este ítem pertenece a la siguiente institución