Dynamic return connectedness between agricultural commodities and WTI oil: Application of VAR and TVP-VAR models from 2013 to 2022

Authors

DOI:

https://doi.org/10.17765/2176-9168.2026v19.e14268

Keywords:

Time Series Analysis, Dynamic Connectivity, Return, Agricultural Commodities, WTI Oil

Abstract

This article investigates the dynamic return connectedness between agricultural markets and the West Texas Intermediate (WTI) oil market. The VAR and TVP-VAR models were employed, following Ready (2018) and Antonakakis and Gabauer (2017). The results show that fluctuations in oil prices significantly affect the returns of agricultural commodities. It was observed that these dynamic connections vary across the analyzed markets. Wheat, corn, and soybeans exhibit high levels of connectedness with oil price shocks, while other agricultural and livestock commodities present lower levels of connectedness.

Author Biographies

Alexandra de Moraes, Universidade Federal Rural de Pernambuco

Doutoranda na Universidade Federal de Lavras

Paulo Sergio Ceretta , Universidade Federal de Santa Maria

Professor da Universidade Federal de Santa Maria

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Published

2026-06-22

How to Cite

Moraes, A. de, & Ceretta , P. S. (2026). Dynamic return connectedness between agricultural commodities and WTI oil: Application of VAR and TVP-VAR models from 2013 to 2022. Revista Em Agronegócio E Meio Ambiente, 19, e14268. https://doi.org/10.17765/2176-9168.2026v19.e14268

Issue

Section

Agropecuária e Agronegócio

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