Evaluation of the operational quality of China's grain futures market based on the comprehensive information weighting method

被引:0
|
作者
Guo, Wenjing [1 ]
Li, Sijie [2 ]
Xing, Mengyue [3 ]
Lin, Shengyao [4 ]
机构
[1] Nanjing Univ Finance & Econ, Sch Finance, Nanjing 210023, Peoples R China
[2] Nanjing Univ Finance & Econ, Inst Food & Strateg Reserv, Nanjing 210023, Peoples R China
[3] Dalian Univ Foreign Languages, Business Sch, Dalian 116044, Peoples R China
[4] Nanjing Univ Finance & Econ, Hongshan Coll, Dept Accounting, Nanjing 210003, Peoples R China
关键词
Comprehensive information weights; Grain futures; Genetic algorithm; Market operational quality; SECURITY;
D O I
10.1016/j.iref.2023.03.030
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
China's grain prices have witnessed large fluctuations since 2018. Therefore, an accurate evaluation of the impact of major events on the operational quality of the grain futures market can provide a basis for subsequent effective regulation of the grain futures market. This paper evaluates the liquidity, effectiveness, and volatility of the grain futures market with indicators. Based on the genetic algorithm, the Comprehensive Information Weights of grain futures trading are constructed. The above indicators can reflect the quality of market operation more accurately with the CIW. The evaluation of the quality of grain futures market operations shows that the liquidity of cereal futures and bean futures has weakened after December 2019. Meanwhile, the effectiveness of high-gluten wheat futures, japonica rice futures, and soybean 2 futures should be of concern. Finally, the authorities should issue timely market alerts for sharp price fluctuations (such as corn futures and soybean 1 futures).
引用
收藏
页码:467 / 482
页数:16
相关论文
共 50 条
  • [21] Fuzzy Synthetic Evaluation of Power Quality Based on Combination Weighting Method
    Huang, Yuansheng
    Yuan, Liming
    ADVANCED MANUFACTURING SYSTEMS, PTS 1-3, 2011, 201-203 : 2470 - 2475
  • [22] An Evaluation of Regional FDI Quality based on Entropy Weighting Method and TOPSIS
    Zhao, Qiaozhi
    2009 INTERNATIONAL CONFERENCE ON E-BUSINESS AND INFORMATION SYSTEM SECURITY, VOLS 1 AND 2, 2009, : 669 - 672
  • [23] Multifractal Analysis in China Futures Market Using a S-R-MFDFA Method
    Bai, Manying
    Guo, Fengjuan
    2013 INTERNATIONAL CONFERENCE ON MANAGEMENT AND INFORMATION TECHNOLOGY, 2013, : 446 - 452
  • [24] Groundwater Quality Evaluation Based on Fuzzy Comprehensive Method
    Jianping-Chen
    Liping-Lv
    Mingyu-Wang
    FUZZY INFORMATION AND ENGINEERING 2010, VOL 1, 2010, 78 : 455 - +
  • [25] Power quality comprehensive evaluation based on the clustering method
    Jiang, De-Long
    Wang, Ke-Wen
    Yang, Ping
    Cui, Wei
    Jiang, D.-L. (terrific117@163.com), 1600, Power System Protection and Control Press (40): : 105 - 111
  • [26] An Agent-Based Computational Model for China's Stock Market and Stock Index Futures Market
    Xu, Hai-Chuan
    Zhang, Wei
    Xiong, Xiong
    Zhou, Wei-Xing
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [27] Intelligent Autonomous Fuzzy Comprehensive Evaluation of Combat UAV Based on Combination Weighting Method
    Zou, Yucan
    Gou, Yangming
    Long, Jiang
    2024 IEEE 19TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, ICIEA 2024, 2024,
  • [28] Investigation on Comprehensive Evaluation Index of Wavelet Threshold Denoising Based on Combination Weighting Method
    Xiong C.
    Pang H.
    Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2022, 55 (12): : 1300 - 1308
  • [29] Evaluation method for health state of highway tunnel structure based on adaptive comprehensive weighting
    Zhang, Gang
    Liu, Guofeng
    Lu, Zhifang
    Yan, Changgen
    Xu, Lei
    Gao, Qidong
    Zhou, Yang
    ENGINEERING FAILURE ANALYSIS, 2024, 163
  • [30] Comprehensive evaluation method of transmission line operating status based on improved combination weighting evaluation model
    Li, Cheng
    Chen, Xiangxin
    Li, Zhiming
    Zhang, Ye
    Yue, Keyu
    Ma, Jun
    Wang, Minzhen
    Zhao, Liying
    Qi, Entie
    ENERGY REPORTS, 2022, 8 : 387 - 397