Time-varying impact of geopolitical risk on natural resources prices: Evidence from the hybrid TVP-VAR model with large system

被引:39
作者
Zhao, Jing [1 ,2 ]
机构
[1] Northeast Agr Univ, Coll Econ & Management, Harbin, Peoples R China
[2] 600, Changjiang Rd, Harbin, Peoples R China
关键词
Natural resources prices; Hybrid TVP-VAR model; Geopolitical risks; Large TVP-VAR system; Time -varying analysis; BAYESIAN VECTOR AUTOREGRESSIONS; COMMODITY PRICES; MONETARY-POLICY; CO-MOVEMENTS; OIL PRICE; CRUDE-OIL; VOLATILITY; UNCERTAINTY; MARKETS;
D O I
10.1016/j.resourpol.2023.103467
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, we investigate the time-varying effects of geopolitical risks on various natural resources prices from October 1992 to October 2022. We divided natural resources into three groups: minerals, precious metals and industrial metals. The hybrid TVP-VAR model is utilized in order to solve the over-computation problem of the large-scale system with 20 variables. The model provides a more flexible and accurate approach to identify and determine whether geopolitical risk has a time-varying effect on certain resource price from data itself. The results showed that geopolitical risks have relatively obvious time-varying effect on most minerals, time -invariant effect on gold, platinum and industrial metals. Gold can act as a safe-haven to hedge the increase in geopolitical risk. The impulse intensity of geopolitical risk on resource price is generally stronger in the short term and much weaker in the long term. Under different historical time points, the impacts of geopolitical risk on some of the resources show different trends. The results indicate that regulations, early risk warning mechanisms and emergency plans should be established to ensure the stable supply of domestic resources and the smooth operation of the market when geopolitical events occur.
引用
收藏
页数:15
相关论文
共 72 条
[61]   Oil and energy price volatility [J].
Regnier, Eva .
ENERGY ECONOMICS, 2007, 29 (03) :405-427
[62]   Commodity Price Responses to Monetary Policy Surprises [J].
Scrimgeour, Dean .
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 2015, 97 (01) :88-102
[63]   MACROECONOMICS AND REALITY [J].
SIMS, CA .
ECONOMETRICA, 1980, 48 (01) :1-48
[64]   INTERPRETING THE MACROECONOMIC TIME-SERIES FACTS - THE EFFECTS OF MONETARY-POLICY [J].
SIMS, CA .
EUROPEAN ECONOMIC REVIEW, 1992, 36 (05) :975-1000
[65]   Connectedness of commodity, exchange rate and categorical economic policy uncertainties - Evidence from China [J].
Song, Lu ;
Tian, Gengyu ;
Jiang, Yonghong .
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2022, 60
[66]   Structure dependence between oil and agricultural commodities returns: The role of geopolitical risks [J].
Tiwari, Aviral Kumar ;
Boachie, Micheal Kofi ;
Suleman, Muhammed Tahir ;
Gupta, Rangan .
ENERGY, 2021, 219 (219)
[67]   Gold-oil dependence dynamics and the role of geopolitical risks: Evidence from a Markov-switching time-varying copula model [J].
Tiwari, Aviral Kumar ;
Aye, Goodness C. ;
Gupta, Rangan ;
Gkillas, Konstantinos .
ENERGY ECONOMICS, 2020, 88
[68]   The GOLD market as a safe haven against the stock market uncertainty: Evidence from geopolitical risk [J].
Triki, Mohamed Bilel ;
Ben Maatoug, Abderrazek .
RESOURCES POLICY, 2021, 70
[69]   Implications of COVID-19 Pandemic on the Global Trade Networks [J].
Vidya, C. T. ;
Prabheesh, K. P. .
EMERGING MARKETS FINANCE AND TRADE, 2020, 56 (10) :2408-2421
[70]   A factor model for co-movements of commodity prices [J].
West, Kenneth D. ;
Wong, Ka-Fu .
JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2014, 42 :289-309