Leadership Shift in the Global Soybean Market: Dynamic Connectedness Approach (TVP-VAR)
Published July 2024
Abstract
The price transmission in international soybean market has been extensively examined. However, recent econometric advancements have enabled the application of dynamic connectedness methodology as outlined by Antonakakis and Gabauer (2017) [1], which is based on a Time-varying Parameter Vector Autoregressive (TVP-VAR) model. This approach captures the time-varying connectedness of time series, considering potential risk shock emitters and receivers. The connectedness index (Diebold and Yilmaz, Jan. 2012) [2] was developed using Generalized Forecast Error Variance Decomposition (GFEVD) and the Generalized Impulse Response Function (GIRF) (Koop et al., Sep. 1996; Pesaran and Shin, Jan. 1998) [3,4]. This study aims to understand the dynamic connectedness and price leadership. The research examined markets including the US Soybean futures market (Chicago Board of Trade), Rotterdam Port spot market representing the European soybean market, Paranaguá port representing Brazil, Argentina represented by Rosario Futures and Spot, and the Chinese domestic spot market and the Dalian futures on behalf of China. The research spanned approximately ten years, from September 2009 to May 2019. The findings suggest that the soybean market has reached a high level of maturity, able to withstand exogenous shocks for at least the past seven years. The net pairwise directional connectedness revealed dynamic and bidirectional causality. The dynamic connectedness index showed a highly connected and developed market in the West (Chicago Futures, Rotterdam, Paranaguá, and Rosario Futures and Spot). However, the connectedness between Western and Eastern markets was relatively low, indicating some level of market isolation. Furthermore, the pairwise connectedness index between Eastern market (China spot and Dalian Futures) was also considerable low. Lastly, Paranaguá and Rosario overtook Rotterdam as price-leading markets and were identified as the primary net transmitters of shocks, indirectly implying causality. Chicago, Rosario, and Paranaguá formed a triumvirate leading international prices, while Rotterdam adopted a secondary leading position, deviating from its historical role as the price leader.
El presente estudio aplica la metodología de conectividad dinámica de Antonakakis y Gabauer (2017), basada en un modelo TVP-VAR, para analizar la transmisión de precios y el liderazgo en el mercado internacional de soja durante el período septiembre 2009-mayo 2019. Los mercados estudiados incluyen Chicago Futures (CBOT), Rotterdam Spot, Paranaguá Spot (Brasil), Rosario Futures y Spot (Argentina), y los mercados chinos (China Spot y Dalian Futures). El índice de conectividad total (TCI) promedio fue del 67%, indicando un mercado altamente maduro y capaz de absorber shocks exógenos. Los resultados revelan que Paranaguá y Rosario Futures desplazaron a Rotterdam como líderes de precio, conformando un triunvirato con Chicago como principales transmisores netos de shocks. Los mercados chinos (China Spot y Dalian Futures) operan como receptores netos con baja conectividad hacia los mercados occidentales, evidenciando aislamiento por intervención gubernamental. La causalidad entre mercados resultó ser dinámica, bidireccional y time-varying, contrastando con los enfoques estáticos de cointegración previos.