RELAÇÃO ENTRE O PREÇO DO PETRÓLEO E SEUS DERIVADOS COM O USO DO ENSEMBLE EMPIRICAL MODE DECOMPOSITION

  • Fernanda Alves Lamberti Universidade Federal de Santa Maria
  • Vanessa Rabelo Dutra Universidade Federal de Santa Maria
  • Paulo Fernando Marschner Universidade Federal de Santa Maria
  • Paulo Sergio Ceretta Universidade Federal de Santa Maria
Palavras-chave: Petróleo. Derivados. Ensemble Empirical mode Decomposition.

Resumo

O objetivo deste trabalho, é analisar a relação entre o preço do petróleo dos tipos West Texas Intermediate (WTI) e Brent, e seus derivados (propano, gasolina e diesel) durante o período de 04 de janeiro de 2010 à 25 de abril de 2016. As séries temporais foram obtidas à junto a divisão de pesquisa do Federal Reserve Bank of St. Louis (2016) e analisadas a partir do Ensemble Empirical Mode Decomposition proposto por Wu e Huang (2004) onde foram decompostas em sete modos intrínsecos independentes e um resíduo, e reagrupadas em séries de alta e baixa frequência, e uma série de tendência. Posteriormente, foi empregada uma análise de correlação para verificar a força de associação entre os preços do petróleo bruto e seus derivados. Os principais resultados sugerem que os preços do petróleo dos tipos WTI e Brent e seus derivados são principalmente compostos pela série de tendência, e que o preço do propano é o que menos se relaciona com os preços do petróleo. 

Referências

Agnolucci, P. (2009). Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models. Energy Economics, 31(2), p. 316-321.

Almeira, E., Oliveira, P., & Losekann, L. (2015). Impactos da contenção dos preços de combustíveis no Brasil e opções de mecanismos de precificação. Brazilian Journal of Political Economy, 35(3), p. 531-556.

Apergis, N., & Miller, S. (2009). Do structural oil-market shocks affect stock price? Energy Economics, 31(4), p. 569-575.

Arouri, M., & Rault, C. (2011). Oil price and stock markets in GCC countries: empirical evidence from panel analysis. International Journal of Finance and Economics, 17(3), p. 242-253.

Arouri, M., & Rault, C. (2012). Oil prices and stock markets in GCC countries: empirical evidence from panel analysis. International Journal of Finance and Economics, 17(3), p. 242-253.

Bagchi, B. . (2017). Volatility spillovers between crude oil price and stock markets: evidence from BRIC countries. International Journal of Emerging Markets, 12(2), p. 352-365.

Banikhalid, H. (2017). The impact of Oil price on the G7's inflation rate: an econometric study for the period (1986-2016). International Journal of Economics and Finance, 9(6), p. 1916-9728.

Basher, S., Haug, A., & Sadorsky, P. (2012). Oil prices, exchange rates and emerging stock markets. Energy Economics, 34, p. 227–240.

Bechmeier, L., & Griffin, J. (2003). New evidence on asymmetric gasoline price. Review of Economics and Statistics, 85(3), p. 772-776.

Borenstein, S., Cameron, C., & Gilbert, R. (1997). Do Gasoline Prices Respond Asymmetrically to Crude Oil Price Changes? The Quarterly Journal of Economics, 112, p. 305-339.

Chen, L.-H., Finney, M., & Lai, K. (2005). A threshold cointegration analysis of asymmetric price transmission from crude oil to gasoline prices. Economics Letters, 89(2), p. 233-239.

Ciner, C. (2001). Energy shocks and financial markets: Nonlinear linkages. Studies in Nonlinear Dynamics and Econometrics, 5(3), p. 203-212.

Ding, H., King, H.-G., & Park, S. (2016). Crude Oil and Stock Markets: Causal Relationships in Tails? Energy Economics, 59, p. 58-69.

Federal Reserve Bank of St. Louis. (2016). Economic Research. Acesso em 3 de julho de 2016, disponível em Federal Reserve Bank of St. Louis: https://fred.stlouisfed.org/series/DCOILWTICO

Hair, J., William, B., Babin, B., & Anderson, R. (2009). Análise multivariada de dados (6ª ed.). Porto Alegre: Bookman.

Hamilton, J. (1983). Oil and the macroeconomy since World War II. The Journal of Political Economy, 91(2), p. 228-2248.

Hamilton, J. (2003). What is an oil shock. Journal of Econometrics, 113(2), p. 363-398.

Hartley, P., Medlock , K., & Rosthal, J. (2008). The Relationship of Natural Gas to Oil Prices. The Energy Journal, 29(3), p. 47-65.

Honarvar, A. (2009). Asymmetry in retail gasoline and crude oil price movements in the United States: an application of hidden cointegration technique. Energy Economics, 31, p. 395-402.

Hou, A., & Suardi, S. (2012). A nonparametric GARCH model of crude oil price return volatility. Energy Economics, 34(2), p. 618-626.

Huang, N. E., Shen, Z., & Long, S. R. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary. Process of the Royal Society of London, 903-995.

Huang, N., Shen, Z., Long, S., Wu, M., Shih, H., Zheng, Q., Liu, H. (1998). The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis. Proceedings of the Royal Society a Mathematical, Physical and Engineering Sciences, p. 903-995.

Jones, C., & Kaul, G. (1996). Oil and the stock markets. The Journal of Finance, 51(2), p. 463-491.

Kang, S., Kang, S., & Yoon, S. (2009). Forecasting volatility of crude oil markets. Energy Economics, 31(1), p. 119-125.

Lahiani, A., Miloudi, A., Benkraiem, R., & Shahbaz, M. (2017). Another look on the relationships between oil prices and energy prices. Energy Policy, 102, p. 318–331.

Latif, M., & Herawati, S. (2016). The application of eemd and neural network based on polak-ribiére conjugate gradient algorithm for crude oil prices forecasting. MATEC web of conferences, 58.

Lee, C.-G., & Zeng, J.-H. (2011). The impact of oil price shock on stock market activities: asymmetric effect with quatile regression. Mathematics and Computer in Simulation, 81(9), p. 1910-1920.

Liu, M.-H., Margaritis, D., & Tourani-Rad, A. (2010). Is there an asymmetry in the response of diesel and petrol. Prices to crude oil price changes? Evidence from New Zeland. Energy Economics, 32, p. 926-932.

Naifar, N., & Dohaiman, M. (2013). Nonlinear analysis among crude oil prices, stock markets' return and macroeconomic variables. International Review of Economics and Finance, 27, p. 416-431.

Park, J., & Ratti, R. (2008). Oil price shocks and stock markets in the US and 13 European countries. Energy Economics, 30(5), p. 2587-2608.

Rahman, S. (2016). Another perspective on gasoline price responses to crude oil price changes. Energy Economics, 55, p. 10-18.

Rotemberg, J., & Woodford, M. (1996). Imperfect competition and the effects of energy price increases on economic activity. Journal of Money, Credit and Banking, 28(4), p. 550-577.

Sadorski, P. (1999). Oil price shocks and stock market activity. Energy Economics, 21(5), p. 449-469.

Sathler, M., & Tolmasquim, M. (2001). A formação de preços dos derivados de petróleo no Brasil. Revista Brasileira de Energia, 8(1), p. 1-15.

Sauter, R., & Awerbuch, S. (2003). Oil price volatility and economic activity: a survey and literature review. IEA Research Paper.

Silva, B. (2011). Relações entre o preço internacional do petróleo e as ações da petrobrás. 2011. 127 f. Dissertação - Mestrado em Ciências Contábeis - Programa Multiinstitucional e Inter-Regional de Pós-Graduação em Ciências Contábeis da UnB, UFPB e UFRN.

Silva, N., & Ferraro, M. (2017). A crise na indústria petrolífera brasileira e seus impactos nos indicadores macroeconômicos. Revista Brasileira de Energia, 23(1), p. 7-23.

Stevens, P. (1995). The determination of oil prices 1945-1995. Energy Policy, 23(10), p. 861-870.

Tsai, I.-C. (2012). The relationship between stock price index and exchange rate in Asian markets: A quantile regression approach. Journal of International Financial Markets, Institutions & Money, 22, p. 609– 621.

Vilar, J., & Joutz, F. (2006). The Relationship between Crude Oil and Natural Gas Prices. Energy Information Administration, Washington D.C.

Wu, Z., & Huang, N. (2009). Ensemble empirical mode decomposition: a noise-assisted data analysis method. Advances in Adaptive Data Analysis, 1(1), p. 1 - 41.

Yu, L., Wang, Z., & Tang, L. (2015). A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting. Applied Energy, 156, p. 251-267.

Zhang, L., Yu, L., Wang, S., & Lai, K. (2009). Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method. Energy Economics, 31(5), p. 768-778.

Zhang, X., Lai, K., & Wang, S. (2008). A new approach for crude oil price analysis based on Empirical. Energy Economics, 30, p. 905-918.

Publicado
2019-08-01
Seção
Artigos