The Macroeconomic Influence of China Futures Market: A GARCH-MIDAS Approach

被引:0
|
作者
Liu, Ruobing [1 ]
Yang, Jianhui [1 ]
Ruan, Chuanyang [2 ,3 ]
机构
[1] South China Univ Technol, Sch Business Adm, Guangzhou 510640, Peoples R China
[2] Guangdong Univ Finance & Econ, Sch Business Adm, Guangzhou 510320, Peoples R China
[3] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200240, Peoples R China
关键词
GARCH-MIDAS; China futures market; Macroeconomic fundamentals; Long-run variance; VOLATILITY; RETURN;
D O I
10.1007/978-3-030-31967-0_28
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We revisit the relationship between the commodities futures market volatility and the macroeconomic factors, by employing the GARCH-MIDAS model, which can decompose the conditional variance into the secular and short-run component. We introduce the level or the variance of the macroeconomic variables into the GARCH-MIDAS model, to test the impact of the macroeconomic variables on the long-run variance. In the paper, we find the variance of PPI and IP has a more significant impact on the volatility of China commodities futures market than the level of the macroeconomic variables.
引用
收藏
页码:244 / 251
页数:8
相关论文
共 50 条
  • [41] Oil shocks and volatility of green investments: GARCH-MIDAS analyses
    Yaya, OlaOluwa S.
    Ogbonna, Ahamuefula E.
    Xuan Vinh Vo
    RESOURCES POLICY, 2022, 78
  • [42] Exploring the influence of the main factors on the crude oil price volatility: An analysis based on GARCH-MIDAS model with Lasso approach
    Zhao, Jing
    RESOURCES POLICY, 2022, 79
  • [43] Forecasting short-run exchange rate volatility with monetary fundamentals: A GARCH-MIDAS approach
    You, Yu
    Liu, Xiaochun
    JOURNAL OF BANKING & FINANCE, 2020, 116
  • [44] The role of uncertainty index in forecasting volatility of Bitcoin: Fresh evidence from GARCH-MIDAS approach
    Xia, Yufei
    Sang, Chong
    He, Lingyun
    Wang, Ziyao
    FINANCE RESEARCH LETTERS, 2023, 52
  • [45] Role of oil shocks in US stock market volatility: A new insight from GARCH-MIDAS perspective
    Ghani, Usman
    Zhu, Bo
    Ghani, Maria
    Khan, Nasir
    Khan, Raja Danish Akbar
    RESOURCES POLICY, 2023, 85
  • [46] RETRACTED: Analysis of Factors Influencing Stock Market Volatility Based on GARCH-MIDAS Model (Retracted Article)
    Ma, Dan
    Yang, Tianxing
    Liu, Liping
    He, Yi
    COMPLEXITY, 2022, 2022
  • [47] The influence of COVID-19 epidemic on BDI volatility: An evidence from GARCH-MIDAS model
    Xu, Lang
    Zou, Zeyuan
    Zhou, Shaorui
    OCEAN & COASTAL MANAGEMENT, 2022, 229
  • [48] Do extreme shocks help forecast oil price volatility? The augmented GARCH-MIDAS approach
    Wang, Lu
    Ma, Feng
    Liu, Guoshan
    Lang, Qiaoqi
    INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2023, 28 (02) : 2056 - 2073
  • [49] Exploring the relationship between global economic policy and volatility of crude futures: A two-factor GARCH-MIDAS analysis
    Fang, Ying
    Fan, Ying
    Haroon, Muhammad
    Dilanchiev, Azer
    RESOURCES POLICY, 2023, 85
  • [50] 基于GARCH-MIDAS模型对股市波动率预测
    刘国山
    王璐
    刘亚
    河南科学, 2020, 38 (07) : 1033 - 1042