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.
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页数:15
相关论文
共 72 条
[1]   Financial liquidity, geopolitics, and oil prices [J].
Abdel-Latif, Hany ;
El-Gamal, Mahmoud .
ENERGY ECONOMICS, 2020, 87
[2]   The volatility connectedness of the EU carbon market with commodity and financial markets in time- and frequency-domain: The role of the US economic policy uncertainty [J].
Adekoya, Oluwasegun B. ;
Oliyide, Johnson A. ;
Noman, Ambreen .
RESOURCES POLICY, 2021, 74 (74)
[3]   How is volatility in commodity markets linked to oil price shocks? [J].
Ahmadi, Maryam ;
Behmiri, Niaz Bashiri ;
Manera, Matteo .
ENERGY ECONOMICS, 2016, 59 :11-23
[4]   COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility [J].
Ahmed, Maruf Yakubu ;
Sarkodie, Samuel Asumadu .
RESOURCES POLICY, 2021, 74
[5]   Fundamentals versus speculation in oil market: The role of asymmetries in price adjustment? [J].
Akdogan, Kurmas .
RESOURCES POLICY, 2020, 67 (67)
[6]   Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks [J].
Asai, Manabu ;
Gupta, Rangan ;
McAleer, Michael .
INTERNATIONAL JOURNAL OF FORECASTING, 2020, 36 (03) :933-948
[7]   LARGE BAYESIAN VECTOR AUTO REGRESSIONS [J].
Banbura, Marta ;
Giannone, Domenico ;
Reichlin, Lucrezia .
JOURNAL OF APPLIED ECONOMETRICS, 2010, 25 (01) :71-92
[8]   Hedging geopolitical risk with precious metals [J].
Baur, Dirk G. ;
Smales, Lee A. .
JOURNAL OF BANKING & FINANCE, 2020, 117
[9]   Do gold, oil, equities, and currencies hedge economic policy uncertainty and geopolitical risks during covid crisis? [J].
Bin Kamal, Javed ;
Wohar, Mark ;
Bin Kamal, Khaled .
RESOURCES POLICY, 2022, 78
[10]  
BLANCHARD OJ, 1989, AM ECON REV, V79, P655