Abstract: We investigated the effect of the 2007-2008 Brazilian financial crisis on nonlinearity and the prediction accuracy of artificial neural networks on monthly soybean prices in Brazil. To determine the exogenous variable, the commodity’s logarithm return was calculated. The best period for the series simulation was then identified, simulations carried out and the model validated. Model forecasting results were satisfactory for all samples. A Group Method of Data Handling (GMDH) methodology was capable of demonstrating the returns’ non-randomness, denoting marketing inefficiency, arbitrage opportunities and abnormal return to investors, especially after the financial crisis of 2007-2008.
DOI: *As the DOI is a unique identifier, it is already available in the pdf version. **The DOI link will be activated in the first midst of January 2026.
WSEAS Transactions on Business and Economics, ISSN / E-ISSN: 1109-9526 / 2224-2899, Volume 13, 2016, Art. #28
Everton Anger Cavalheiro, Kelmara Mendes Vieira, Alisson Eduardo Maehler, Carlos Costa, "The Influence of Brazilian Crisis on Inefficiency and Nonlinearity on Soybean Prices," WSEAS Transactions on Business and Economics, vol. 13, pp. 301-310, 2016, DOI:
Everton Anger Cavalheiro, Kelmara Mendes Vieira, Alisson Eduardo Maehler, Carlos Costa. The Influence of Brazilian Crisis on Inefficiency and Nonlinearity on Soybean Prices.
WSEAS Transactions on Business and Economics. 2016;13:301-310.