Diesel prices in Brazil: A dynamic fractional integration analysis
We investigate the behaviour of retail diesel prices in Brazil using fractional integration, with weekly data from January 2010 to April 2020. In this period, we have 3 episodes of relevant economic implications in the country under analysis: i) impeachment of the Brazilian President; ii) the lorry-drivers’ strike; iii) the rise of the global Covid-19 epidemic. We use a sliding windows approach to analyze price dynamics over time. The results suggest that, at the beginning of the sample, prices were non-stationary and non-mean reverting but over the time results changed in the different regions. Results are relevant for market agents and policy-makers, as it can be inferred whether exogenous shocks are temporary, despite taking some time to dissipate completely.
Alvarez-Ramirez, J., Alvarez, J., Rodriguez, E. and Fernandez-Anaya, G. (2008) Time-varying Hurst exponent for US stock markets, Physica A: statistical mechanics and its applications, 387(24), 6159-6169.
Alvarez-Ramirez J., Rodriguez E. and Ibarra-Valdez, C. (2018) Long-range correlations and asymmetry in the Bitcoin market, Physica A: Statistical Mechanics and its Applications 492, 948-955.
Bacon, R. (1991) Rockets and feathers: The asymmetric speed of adjustment of U.K. retail gasoline prices to cost changes, Energy Economics, 13, 211–218.
Canêdo-Pinheiro, M. (2012) Assimetrias na transmissão dos preços dos combustíveis: o caso do óleo diesel no Brasil, Revista Brasileira de Economia, 66(4), 469-490.
Chen, Z., Ivanov, P., Hu, K. and Stanley, H. (2002) Effect of nonstationarities on detrended fluctuation analysis, Physical Review E, 65(4), 041107.
Da Silva, A., Vasconcelos, C., Vasconcelos, S. and Mattos, R. (2014) Symmetric transmission of prices in the retail gasoline market in Brazil, Energy Economics, 43, 11-21.
David, S., Quintino, D., Inacio Jr., C. and Machado, J. (2018) Fractional dynamic behaviour in ethanol prices series, Journal of Computational and Applied Mathematics, 339, 85-93.
David, S., Inacio Jr., C., Quintino, D. and Machado, J. (2020) Measuring the Brazilian ethanol and gasoline market efficiency using DFA-Hurst and fractal dimension, Energy Economics, 85, 104614.
Ferreira, P. (2018) Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis, Physica A: Statistical Mechanics and its Applications, 505, 454-470.
Ferreira, P. (2020) Dynamic long-range dependences in the Swiss stock market, Empirical Economics, 58, 1541–1573.
Gil-Alana, L. and Payne, J. (2017) Time series dynamics of US retail gasoline prices: Evidence from fractional integration, Energy Sources, Part B: Economics, Planning, and Policy, 12(12), 1066-1073.
Gordillo-Cruz, E., Alvarez-Ramirez, J., González, F. and de los Reyes, J. (2018) Fractal analysis of X-ray diffraction patterns of zirconia–alumina mixed oxides, Physica A: Statistical Mechanics and its Applications, 512, 635-643.
Hu, K., Ivanov, P., Chen, Z., Carpena, P. and Stanley, H. (2001) Effect of trends on detrended fluctuation analysis, Physical Review E, 64(1), 011114.
Hwa, R., and Ferree, T. (2002) Scaling properties of fluctuations in the human electroencephalogram, Physical Review E, 66(2), 021901.
Kantelhardt, J., Zschiegner, S., Koscielny-Bunde, E., Havlin, S., Bunde, A. and Stanley, H. (2002) Multifractal detrended fluctuation analysis of nonstationary time series, Physica A: Statistical Mechanics and its Applications, 316(1-4), 87-114.
Mohti, W., Dionísio, A., Ferreira, P. and Vieira, I. (2019) Frontier markets’ efficiency: mutual information and detrended fluctuation analyses, Journal of Economic Interaction and Coordination, 14(3), 551-572.
Peng, C.-K., Buldyrev, A., Havlin, S., Simons, M., Stanley, H. and Goldberger, A. (1994) Mosaic organization of DNA nucleotides, Physical Review E, 49, 1685–1689.
Peters, E. (1996) Chaos and Order in the Capital Markets: A New View of Cycles, Prices, and Market Volatility, John Wiley & Sons: New York.
Zingbagba, M., Nunes, R. and Fadairo, M. (2020) The impact of diesel price on upstream and downstream food prices: Evidence from São Paulo, Energy Economics, 85, 104531.
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