On the time-varying correlations between oil-, gold-, and stock markets: The heterogeneous roles of policy uncertainty in the US and China

被引:16
|
作者
Zhao, Wen [1 ]
Wang, Yu-Dong [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing 210094, Peoples R China
关键词
Policy uncertainty; Crude oil; Gold; Cross-asset correlations; Quantile regression; MONETARY-POLICY; SAFE-HAVEN; CRUDE-OIL; FINANCIAL CRISIS; EQUITY MARKETS; VOLATILITY; SHOCKS; RISK; TRANSMISSION; PRICES;
D O I
10.1016/j.petsci.2021.11.015
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper investigates the effects of economic policy uncertainty (EPU) and monetary policy uncertainty (MPU) in the US and China on oil-stock and gold-stock correlations. A quantile regression approach is employed to analyze the heterogeneous impacts under different market correlation regimes. Our find-ings suggest that the "US impact" prevails across all market correlations in the sample, while "China impact" is found for oil-stock correlations. Furthermore, the impacts of EPU and MPU on correlations of different asset pairs exhibit heterogeneity in direction and in different correlation regimes. EPU and MPU have homogenously negative effects on gold-stock correlations across various correlation regimes. Differently, in terms of oil-stock correlations, they exhibit more significant and stronger positive impacts in the medium and high correlation regime than in the low correlation regime. Gold can provide a better diversification for stock market risks than crude oil during the period of high level of economic uncertainty.(c) 2021 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:1420 / 1432
页数:13
相关论文
共 50 条
  • [41] 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
  • [42] Research on the Time-Varying Impact of Economic Policy Uncertainty on Crude Oil Price Fluctuation
    Feng, Yanhong
    Xu, Dilong
    Failler, Pierre
    Li, Tinghui
    SUSTAINABILITY, 2020, 12 (16)
  • [43] Time-varying effects of oil price shocks and economic policy uncertainty on the nonferrous metals industry: From the perspective of industrial security
    Zhu, Xuehong
    Liao, Jianhui
    Chen, Ying
    ENERGY ECONOMICS, 2021, 97
  • [44] The Time-Varying Connectedness Between China's Crude Oil Futures and International Oil Markets: A Return and Volatility Spillover Analysis
    Fu, Jiasha
    Qiao, Hui
    LETTERS IN SPATIAL AND RESOURCE SCIENCES, 2022, 15 (03) : 341 - 376
  • [45] ANALYSING TIME-VARYING INTERRELATIONSHIP AMONG THE BALKAN, DEVELOPED EUROPEAN AND US STOCK MARKETS
    Bein, Murad A.
    ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2018, 52 (02): : 299 - 316
  • [46] Explaining the time-varying effects of oil market shocks on US stock returns
    Foroni, Claudia
    Guerin, Pierre
    Marcellino, Massimiliano
    ECONOMICS LETTERS, 2017, 155 : 84 - 88
  • [47] US economic policy uncertainty and co-movements between Chinese and US stock markets
    Li, Xiao-Ming
    Peng, Lu
    ECONOMIC MODELLING, 2017, 61 : 27 - 39
  • [48] Quantile time-frequency connectedness analysis between crude oil, gold, financial markets, and macroeconomic indicators: Evidence from the US and EU
    Shang, Jin
    Hamori, Shigeyuki
    ENERGY ECONOMICS, 2024, 132
  • [49] THE ROLES OF ECONOMIC POLICY UNCERTAINTY AND THE COVID-19 PANDEMIC IN THE CORRELATION BETWEEN CRYPTOCURRENCY AND STOCK MARKETS
    Qian, Lingling
    Jiang, Yuexiang
    Long, Huaigang
    Song, Ruoyi
    SINGAPORE ECONOMIC REVIEW, 2020,
  • [50] Interaction between oil and US dollar exchange rate: nonlinear causality, time-varying influence and structural breaks in volatility
    Wen, Fenghua
    Xiao, Jihong
    Huang, Chuangxia
    Xia, Xiaohua
    APPLIED ECONOMICS, 2018, 50 (03) : 319 - 334