Time and frequency volatility spillovers among commodities: Evidence from pre and during the Russia-Ukraine war

被引:3
作者
Chen, Yunfei [1 ]
Jiang, Wei [2 ]
机构
[1] Fudan Univ, Sch Econ, Shanghai 200433, Peoples R China
[2] Qingdao Univ, Sch Econ, Qingdao 266100, Shandong, Peoples R China
关键词
Russia-Ukraine; War; Commodity; Volatility; Spillovers; Q43; E65; CRUDE-OIL; MAJOR ENERGY; CO-MOVEMENT; MARKETS; CONNECTEDNESS; CARBON; FUTURES; SERIES; RISK;
D O I
10.1007/s10258-023-00242-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper studies the volatility spillovers among commodities in both magnitude and timescale before and after the Russia-Ukraine war. We adopt the Diebold and Yilmaz (Int J Forecast 28:57-66, 2012) and the Barunik and Krehlik (J Financ Economet 16:271-296, 2018) method based the 15-min trading data. The results show that the war increases total volatility spillover from 35.54% to 49.00%. Although total spillover is the largest within a day, net spillovers of some commodities are stronger in long term. More importantly, the war increases the importance of precious metals, oil & fats, crops, and agricultural products in different time-frequency domains. The volatility spillover of precious metals as safe-haven assets within one week increases the most. The role of the oil & fats sector changes from a net receiver to a risk transmitter. Meanwhile, crops and agricultural products sectors dominate the overall spillover in the long-term during the ongoing war period. Furthermore, the time-varying results suggest that the impact of the war is durable in the long term.
引用
收藏
页码:249 / 273
页数:25
相关论文
共 41 条
[1]   Financialization in commodity markets: A passing trend or the new normal? [J].
Adams, Zeno ;
Glueck, Thorsten .
JOURNAL OF BANKING & FINANCE, 2015, 60 :93-111
[2]   Does oil connect differently with prominent assets during war? Analysis of intra-day data during the Russia-Ukraine saga [J].
Adekoya, Oluwasegun B. ;
Oliyide, Johnson A. ;
Yaya, OlaOluwa S. ;
Al-Faryan, Mamdouh Abdulaziz Saleh .
RESOURCES POLICY, 2022, 77
[3]   Spillover network of commodity uncertainties [J].
Balli, Faruk ;
Naeem, Muhammad Abubakr ;
Shahzad, Syed Jawad Hussain ;
de Bruin, Anne .
ENERGY ECONOMICS, 2019, 81 :914-927
[4]   Rare disasters and asset markets in the twentieth century [J].
Barro, Robert J. .
QUARTERLY JOURNAL OF ECONOMICS, 2006, 121 (03) :823-866
[5]   Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk [J].
Barunik, Jozef ;
Krehlik, Tomas .
JOURNAL OF FINANCIAL ECONOMETRICS, 2018, 16 (02) :271-296
[6]   Hedging geopolitical risk with precious metals [J].
Baur, Dirk G. ;
Smales, Lee A. .
JOURNAL OF BANKING & FINANCE, 2020, 117
[7]   Is gold a safe haven? International evidence [J].
Baur, Dirk G. ;
McDermott, Thomas K. .
JOURNAL OF BANKING & FINANCE, 2010, 34 (08) :1886-1898
[8]   What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats? [J].
Bouoiyour, Jamal ;
Selmi, Refk ;
Hammoudeh, Shawkat ;
Wohar, Mark E. .
ENERGY ECONOMICS, 2019, 84
[9]  
Braun E, 2022, PTE KTK MUHELYTANULM, V4, DOI [10.15170/upfbe.wps.S2022E01, DOI 10.15170/UPFBE.WPS.S2022E01]
[10]   Armageddon and the stock market: US, Canadian and Mexican market responses to the 1962 Cuban Missile Crisis [J].
Burdekin, Richard C. K. ;
Siklos, Pierre L. .
QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2022, 84 :112-127