COVID-19, the Russia-Ukraine war and the connectedness between the US and Chinese agricultural futures markets

被引:6
作者
Zhang, Yongmin [1 ,2 ]
Sun, Yiru [1 ,2 ]
Shi, Haili [1 ,2 ]
Ding, Shusheng [1 ,2 ]
Zhao, Yingxue [3 ]
机构
[1] Ningbo Univ, Business Sch, Ningbo, Peoples R China
[2] Ningbo Univ, Int Res Ctr Sustainable Finance, Ningbo, Peoples R China
[3] Zhejiang Univ Finance & Econ, Sch Finance, Hangzhou, Peoples R China
来源
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS | 2024年 / 11卷 / 01期
关键词
CO-MOVEMENT; VOLATILITY DYNAMICS; COMMODITY MARKET; LINKAGES; PRICES; CRISIS; RISK; OIL;
D O I
10.1057/s41599-024-02852-6
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This study focuses on how recent global crises such as the COVID-19 pandemic and the Russia-Ukraine war have affected the relationship between the U.S. and Chinese agricultural futures markets. By applying wavelet coherence analysis (WCA) and time-varying parameter vector autoregression (TVP-VAR), we obtain the following findings. First, both events have changed the correlation and lead-lag comovement between U.S. and Chinese soybean and corn futures returns but have little impact on the comovement between the two cotton futures returns. Second, U.S. agricultural markets transmit more volatility risk to Chinese markets than the risk spillover from the reverse direction. Third, the risk spillover enhancement effect from the war is stronger than that from the pandemic, which is obvious in both the soybean and corn futures markets but not in the cotton market. Our paper has implications for policy makers seeking to stabilize agricultural commodity prices during global crisis episodes and for designing strategies for cross-market hedging of spillover risks among commodity markets for international investors.
引用
收藏
页数:15
相关论文
共 39 条
[1]   How connected is the agricultural commodity market to the news-based investor sentiment? [J].
Akyildirim, Erdinc ;
Cepni, Oguzhan ;
Pham, Linh ;
Uddin, Gazi Salah .
ENERGY ECONOMICS, 2022, 113
[2]   The effect of oil price shocks on asset markets: Evidence from oil inventory news [J].
Alquist, Ron ;
Ellwanger, Reinhard ;
Jin, Jianjian .
JOURNAL OF FUTURES MARKETS, 2020, 40 (08) :1212-1230
[3]   Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment [J].
Banerjee, Ameet Kumar ;
Akhtaruzzaman, Md ;
Dionisio, Andreia ;
Almeida, Dora ;
Sensoy, Ahmet .
JOURNAL OF BEHAVIORAL AND EXPERIMENTAL FINANCE, 2022, 36
[4]   Should emerging market investors buy commodities? [J].
Batten, Jonathan A. ;
Szilagyi, Peter G. ;
Wagner, Niklas F. .
APPLIED ECONOMICS, 2015, 47 (39) :4228-4246
[5]   Realized correlations, betas and volatility spillover in the agricultural commodity market: What has changed? [J].
Bonato, Matteo .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2019, 62 :184-202
[6]  
Booth G., 1998, APPL FINANCIAL EC, V8, P73, DOI DOI 10.1080/096031098333276
[7]   Primary commodity prices: Co-movements, common factors and fundamentals [J].
Byrne, Joseph P. ;
Fazio, Giorgio ;
Fiess, Norbert .
JOURNAL OF DEVELOPMENT ECONOMICS, 2013, 101 :16-26
[8]   The volatility connectedness between agricultural commodity and agri businesses: Evidence from time-varying extended joint approach [J].
Cagli, Efe Caglar ;
Mandaci, Pinar Evrim ;
Taskin, Dilvin .
FINANCE RESEARCH LETTERS, 2023, 52
[9]   International financial contagion in currency crises [J].
Caramazza, F ;
Ricci, L ;
Salgado, R .
JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2004, 23 (01) :51-70
[10]   Cross market predictions for commodity prices [J].
Ding, Shusheng ;
Zhang, Yongmin .
ECONOMIC MODELLING, 2020, 91 :455-462