The impact of China's economic uncertainty on commodity and financial markets

被引:5
|
作者
Yin, Hong [1 ]
Chang, Long [2 ]
Wang, Shu [3 ,4 ]
机构
[1] Guangzhou Univ, Sch Econ & Stat, Guangzhou 510006, Peoples R China
[2] China Guangfa Bank, Guangzhou 510062, Peoples R China
[3] Jilin Univ, Sch Econ, Changchun 130012, Peoples R China
[4] Jilin Univ, Changchun 130012, Jilin, Peoples R China
关键词
Economic uncertainty; Commodity markets; Financial markets; COVID-19; SV-TVP-FAVAR Model; OIL PRICE SHOCKS; POLICY UNCERTAINTY; MONETARY-POLICY; MACROECONOMIC UNCERTAINTY; STOCK RETURNS; TRANSMISSION; VOLATILITY; CYCLES;
D O I
10.1016/j.resourpol.2023.103779
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper use the SV-TVP-FAVAR model to analyze dynamic impacts of economic uncertainty on commodity prices, stock prices and their linkages. Results show that the whole and segmented markets of commodities have seen a fluctuating increasing trend in the time dimension with positive spillover effects in different periods. Agricultural products experienced a significant negative impact before the pandemic, but a significant positive impact after. There is an increasing positive spillover effect of China's economic uncertainty on the financial markets, with a long-term nature. Price linkages have a distinct non-linear characteristic, with long-term negative spillover effects dominating before 2017 and long-term positive spillover effects dominating after-wards, especially during the outbreak.
引用
收藏
页数:8
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