2012
DOI: 10.1002/agr.20292
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Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach

Abstract: The soybean-to-corn price ratio has long been considered one of the triggers that farmers use in the decision to produce corn or soybeans, but little has been done to analyze its dynamics. Recently, the soybean-to-corn price ratio options were introduced on the Chicago Board of Trade, providing the market participants with an opportunity to trade the relative prices of the crops. In this study, the author investigates potentially nonlinear dynamics of the soybean-to-corn price ratio by applying the smooth tran… Show more

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Cited by 18 publications
(10 citation statements)
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“…2017), commodity prices (Chimeli et al . 2008; Ubilava 2012a; Ubilava 2012b; Castro Campos 2019), impact human health (Grove and Chappell 2000; Andalón et al . 2016) and explain social‐economic conflicts (Davis 2002; Hsiang et al .…”
Section: Introductionmentioning
confidence: 99%
“…2017), commodity prices (Chimeli et al . 2008; Ubilava 2012a; Ubilava 2012b; Castro Campos 2019), impact human health (Grove and Chappell 2000; Andalón et al . 2016) and explain social‐economic conflicts (Davis 2002; Hsiang et al .…”
Section: Introductionmentioning
confidence: 99%
“…There are several reasons for this. First, it is due to the very nature of the production–distribution cycle: while agricultural crops are usually harvested on an annual basis, given the demand shock they can be disposed promptly, thus suggesting possibilities for asymmetric price dynamics (Holt and Craig ; Ubilava ). Second, in the system of closely related (substitute) products, an additional source of nonlinear behaviour arises due to pretense of the so‐called transactions cost band: when prices are in disequilibrium, a price shock to one or several commodities will typically result in prompt and adequate adjustments by economic agents, resulting in a closer co‐movement of prices; while when prices are such that they are within the transactions cost band, economic agents may be reluctant to react to small variations in one or more of the prices, thereby potentially mitigating co‐movement due to the substitution effects on the related commodities (Balke and Fomby ).…”
Section: Introductionmentioning
confidence: 99%
“…Recientemente, (Parra-Amado, Abril-Salcedo, & Melo-Velandia, 2016) y (Salcedo, Melo-Velandia, & Parra-Amado, 2019) estimaron el efecto del ENSO en la inflación de los alimentos en Colombia usando un modelo STAR junto con funciones de impulso-respuesta generalizadas. (Salcedo et al, 2019) se basa ampliamente en (Parra-Amado et al, 2016), quienes a su vez, se basan extensivamente en (Ubilava, 2012a) y (Ubilava, 2012b). El principal hallazgo de estos trabajos es la existencia de no-linealidad en la relación entre estas dos variables.…”
Section: Introducción Y Motivaciónunclassified
“…Por ejemplo,(Berry & Okulicz-Kozaryn, 2008) estima el efecto del ENSO sobre la inflación y el PIB por medio de modelos ARX dinámicos y técnicas espectrales basadas en el análisis de los valores propios. Así mismo,(Ubilava, 2012a),(Ubilava, 2012b) y(Ubilava & Holt, 2013) emplean modelos de transición suave para explicar las inflaciones del café, la razón entre los precios de la soya y el maíz, y el de los aceites vegetales. Los primeros dos trabajos siguen de cerca la metodología propuesta por(Hall, Skalin, & Teräsvirta, 1998) y(Hall, Skalin, & Teräsvirta, 2001), mientras que en el tercero emplea métodos de transición suave…”
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