@article{063042edb14f4a2686d0533d1f2b2e89,
title = "Dynamic dependence of futures basis between the Chinese and international grains markets",
abstract = "Basis trading has emerged as a prominent trading strategy in the global grains markets. Understanding basis trading dynamics in this context requires an investigation of the interrelationships among futures basis values across different markets. Using data of corn and wheat over the period 2012-2022, we investigate the high-dimensional linkages of basis at various frequencies between the Chinese and international grains markets. We find a strong positive dynamic correlation between the basis of grains in international markets. However, the basis of Chinese corn (and wheat) exhibits weaker positive correlations with their international counterparts. Our further exploration uncovers temporal variations in the multi-dimensional interdependence structures among these basis values, with the international corn consistently occupying a pivotal central position. Given China's preeminent status as a grain importer, the implications of our study extend to the realm of adept risk management in the context of global grain trading amid an uncertain world.",
keywords = "grain market, futures basis, dynamic linkage, multidimensional dependence, DCC-GARCH model, wavelet-vine copula",
author = "Hao Wang and Yizhe Dong and Mingli Sun and Baofeng Shi and Hao Ji",
note = "Funding Information: The authors would like to gratefully acknowledge the helpful suggestions and corrections made by the anonymous reviewers and editor to an earlier draft of our paper. The authors want to gratefully acknowledge Sun Yajie for the figures. This research is supported and funded by Social Science Foundation of Jilin Province, China [Grant No. 2021B59 ]; “New Liberal Arts” Innovation Team of Jilin University, China [Grant No. 2021XWK03 ]; Innovation youth program of Jilin University, China [Grant No. 2023QNTD11 ]; Fundamental Research Funds for the Central Universities, China [Grant No. 2022XCZX01 ]; National Natural Science Foundation of China, China [Grant No. 72173096 ]; Social Science Foundation of Shaanxi Province, China [Grant No. 2022D040 ]; Innovation Capability Support Program of Shaanxi, China [ 2023-CX-RKX-136 ]. Funding Information: Social Science Foundation of Jilin Province [Grant No. 2021B59]; “New Liberal Arts” Innovation Team of Jilin University [Grant No. 2021XWK03]; Innovation youth program of Jilin university [Grant No. 2023QNTD11]; Fundamental Research Funds for the Central Universities [Grant No. 2022XCZX01]; National Natural Science Foundation of China [Grant No. 72173096]; Social Science Foundation of Shaanxi Province [Grant No. 2022D040]; Innovation Capability Support Program of Shaanxi [2023-CX-RKX-136]. Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",
year = "2024",
month = jan,
doi = "10.1016/j.econmod.2023.106584",
language = "English",
volume = "130",
journal = "Economic Modelling",
issn = "0264-9993",
publisher = "Elsevier",
}