Affiliation:
1. Universidade Estadual de Maringá, Brasil
Abstract
Abstract: Climate influences the variations in soybean and corn prices; thus, we assessed the relationship between the El Niño Southern Oscillation (ENSO) with soybean-to-corn price ratio to determine potential impacts on price risk management. The commercial areas of Passo Fundo (RS), Cascavel (PR), Maringá (PR), Uberlândia (Triângulo Mineiro), and Sorriso (MT) covered in the study were chosen according to the MAPA edaphoclimatic classification. To estimate the effectiveness and optimal hedge ratio, the static and generalized model by Myers and Thompson (1989), adapted by Lien and Tse (2000), was used to include the cointegration approach in the analysis. The innovation of this study is the inclusion of the climate variable ENSO in this hedging approach. The findings showed that ENSO, especially La Niña, affects soybean-to-corn price ratio and hedge strategies. These results highlight the need to expand the use of futures contracts to reduce the price risk during the occurrence of ENSO events.
Subject
Economics and Econometrics,General Social Sciences,Agronomy and Crop Science,Forestry
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