How does economic policy uncertainty drive time-frequency connectedness across commodity and financial markets?

被引:26
作者
Wu, Hao [1 ]
Zhu, Huiming [1 ]
Huang, Fei [1 ]
Mao, Weifang [1 ]
机构
[1] Hunan Univ, Coll Business Adm, Changsha 410082, Peoples R China
基金
中国国家自然科学基金;
关键词
Commodity and financial markets; Time-frequency connectedness; Economic policy uncertainty; Wavelet-based DCC-GARCH model; Portfolio diversification; STOCK MARKETS; NETWORK CONNECTEDNESS; PRECIOUS METALS; OIL PRICES; CRUDE-OIL; SHOCKS; GOLD; VOLATILITY; IMPACT; SPILLOVERS;
D O I
10.1016/j.najef.2022.101865
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study provides novel insight to the prior literature on the time-frequency connectedness across commodity and financial markets while considering the effect of economic policy uncer-tainty (EPU). We utilize DY and BK methods combined with the rolling window technique to examine how the connectedness varies over time and across frequencies. Subsequently, we establish regime-switching models to evaluate the influence of EPU on the connectedness and provide implications under different economic states. Our empirical results unveil robust short -term information, volatility, or risk transmission among commodity and financial markets, as they are the main contributors and receivers of shocks, especially during the crisis. Moreover, we identify EPU as a remarkable driver of the interactions among these markets in static and switching regimes. Finally, the optimal weight and hedge ratio responses to EPU are regime-dependent and EPU is more economically important in determining short-term investment. Our findings present vital implications that all market participants should consider the EPU level and prevailing economic conditions when selecting hedging strategies.
引用
收藏
页数:30
相关论文
共 77 条
[71]   Financial markets under the global pandemic of COVID-19 [J].
Zhang, Dayong ;
Hu, Min ;
Ji, Qiang .
FINANCE RESEARCH LETTERS, 2020, 36
[72]   Economic policy uncertainty in the US and China and their impact on the global markets [J].
Zhang, Dayong ;
Lei, Lei ;
Ji, Qiang ;
Kutan, Ali M. .
ECONOMIC MODELLING, 2019, 79 :47-56
[73]   Economic policy uncertainty and gold return dynamics: Evidence from high-frequency data [J].
Zhang, Hongwei ;
Demirer, Riza ;
Huang, Jianbai ;
Huang, Wanjun ;
Suleman, Muhammad Tahir .
RESOURCES POLICY, 2021, 72
[74]   Time-frequency connectedness of crude oil, economic policy uncertainty and Chinese commodity markets: Evidence from rolling window analysis [J].
Zhu, Huiming ;
Chen, Weiyan ;
Hau, Liya ;
Chen, Qitong .
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2021, 57
[75]   Dependent relationships between Chinese commodity markets and the international financial market: Evidence from quantile time-frequency analysis [J].
Zhu, Huiming ;
Meng, Liang ;
Ge, Yajing ;
Hau, Liya .
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2020, 54
[76]   Does economic policy uncertainty matter for commodity market in China? Evidence from quantile regression [J].
Zhu, Huiming ;
Huang, Rui ;
Wang, Ningli ;
Hau, Liya .
APPLIED ECONOMICS, 2020, 52 (21) :2292-2308
[77]   The Asymmetric Effects of Oil Price Shocks on the Chinese Stock Market: Evidence from a Quantile Impulse Response Perspective [J].
Zhu, Huiming ;
Su, Xianfang ;
Guo, Yawei ;
Ren, Yinghua .
SUSTAINABILITY, 2016, 8 (08)