On the extreme dependence between agricultural tokens and agricultural commodities

被引:0
作者
Shao, Shi-Feng [1 ]
机构
[1] China Univ Geosci, Sch Econ & Management, 68 Jincheng St,East Lake High Tech Dev Zone, Wuhan 430078, Hubei, Peoples R China
关键词
Agricultural tokens; agricultural commodities; quantile dependence; portfolio allocation; hedge;
D O I
10.1080/13504851.2025.2472034
中图分类号
F [经济];
学科分类号
02 ;
摘要
Agricultural tokens represent a significant application of blockchain technology in the agricultural sector, enhancing market liquidity and efficiency. As blockchain assets, how to hedge the market risks associated with agricultural tokens is a concern for investors. This study employs the quantile coherency method and constructs investment portfolios to minimize Value-at-Risk (VaR) and Expected Shortfall (ES) to explore the extreme return interrelations between agricultural tokens and traditional agricultural commodities. It also analyses the performance of agricultural commodities in hedging extreme losses of agricultural tokens. The results indicate a weak linkage between the two markets, suggesting that agricultural commodities are ideal assets for mitigating the extreme risks of agricultural tokens. The long-term coherency between assets is more potent than in the short and medium terms, and the interrelationship is even stronger under extreme conditions. Grain commodities have better hedging potential against agricultural cryptocurrencies than other soft commodities. This paper holds potential reference value for academic research and practical market operations.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Can we still blame index funds for the price movements in the agricultural commodities market?
    Palazzi, Rafael Baptista
    Figueiredo Pinto, Antonio Carlos
    Klotzle, Marcelo Cabus
    De Oliveira, Erick Meira
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2020, 65 : 84 - 93
  • [42] Dynamics of a Newly Established Agricultural Commodities Market: Financialization, Hedging and Portfolio Diversification in Turkey
    Acikgoz, Turker
    Alp, Ozge Sezgin
    Alkan, Nazlan Belemir
    ANNALS OF FINANCIAL ECONOMICS, 2023, 18 (03)
  • [43] Time-frequency dynamics of return spillover from crude oil to agricultural commodities
    Pal, Debdatta
    Mitra, Subrata Kumar
    APPLIED ECONOMICS, 2020, 52 (49) : 5426 - 5445
  • [44] Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach
    Kumar, Satish
    Tiwari, Aviral Kumar
    Raheem, Ibrahim Dolapo
    Hille, Erik
    RESOURCES POLICY, 2021, 72
  • [45] Freight production of agricultural commodities in India using multiple linear regression and generalized additive modelling
    Dhulipala, Sowjanya
    Patil, Gopal R.
    TRANSPORT POLICY, 2020, 97 : 245 - 258
  • [46] Development and validation of an analytical method for pyrimisulfan determination in agricultural commodities by LC-MS/MS
    Do, Jung-Ah
    Lee, Mi-Young
    Cho, Yoon-Jae
    Kang, Iil-hyun
    Kwon, Kisung
    Oh, Jae-Ho
    ANALYTICAL SCIENCE AND TECHNOLOGY, 2013, 26 (02) : 154 - 163
  • [47] Impact of climate change on storage conditions for major agricultural commodities across the contiguous United States
    Kyle Lesinger
    Di Tian
    Courtney P. Leisner
    Alvaro Sanz-Saez
    Climatic Change, 2020, 162 : 1287 - 1305
  • [48] Development and validation of analytical methods for pyrifluquinazon residues determination on agricultural commodities by HPLC-UVD
    Do, Jung-Ah
    Kwon, Ji-Eun
    Kim, Mi-Ra
    Lee, Eun-Mi
    Kuk, Ju-Hee
    Cho, Yoon-Jae
    Chang, Moon-Ik
    Kwon, Kisung
    Oh, Jae-Ho
    ANALYTICAL SCIENCE AND TECHNOLOGY, 2013, 26 (03) : 174 - 181
  • [49] Impact of climate change on storage conditions for major agricultural commodities across the contiguous United States
    Lesinger, Kyle
    Tian, Di
    Leisner, Courtney P.
    Sanz-Saez, Alvaro
    CLIMATIC CHANGE, 2020, 162 (03) : 1287 - 1305
  • [50] An analysis of Brazilian agricultural commodities using permutation - information theory quantifiers: The influence of food crisis
    Antunes de Araujo, Fernando Henrique
    Bejan, Lucian
    Stosic, Borko
    Stosic, Tatijana
    CHAOS SOLITONS & FRACTALS, 2020, 139