The Russia-Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas

被引:43
作者
Chen, Shengming [1 ]
Bouteska, Ahmed [2 ]
Sharif, Taimur [3 ]
Abedin, Mohammad Zoynul [4 ]
机构
[1] Xiamen Univ, Sch Law, Xiamen 361005, Peoples R China
[2] Univ Tunis El Manar, Fac Econ & Management Tunis, Tunis, Tunisia
[3] Univ Kurdistan Hewler UKH, Sch Management & Econ, 30 Meter Ave, Erbil, Iraq
[4] Swansea Univ, Sch Management, Bay Campus, Swansea SA1 8EN, Wales
关键词
Russia-Ukraine war; Energy market; Volatility ratio; Volatility-of-Volatility; Natural gas; LONG MEMORY; REALIZED VOLATILITY; RETURN; MODEL; SPILLOVERS; MIXTURE; US;
D O I
10.1016/j.resourpol.2023.103792
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The major aim of this paper is to analyze the influence of the recent Russia-Ukraine war on the volatility dynamics of the natural gas market for the 1 June 2011-31 December 2022 period. Given the emergence of the S&P GSCI Natural Gas as the first most dominant energy natural gas market in the World, we use the daily return data of the S&P GSCI natural gas index for the empirical analysis. As a novel approach, we apply the Volatility Ratio, a contemporary technical statistic measure, to assess the behavior of the volatility-of-volatility at different time horizons in the natural gas market. Empirical findings of this paper reveal that the volatility-of-volatility had been rapidly dying down before the war, subsequently taking a longer time to die down in the S&P GSCI natural gas index. Further, the findings imply that periods of uncertainties trigger investors' intent to make some best possible decisions and formulate superior strategies, without necessarily displaying any herding tendency of imitating their counterparts. Being the first study to apply the new volatility ratio analysis in accomplishing the aim of this research, our findings lay an economic foundation for necessary policy formulation and interventions to safeguard the energy market investors and counteract detrimental effects on society and economy at large, in the wake of any future Black Swan events such as the Russia-Ukraine conflict and the COVID-19 pandemic.
引用
收藏
页数:11
相关论文
共 100 条
[1]   Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries [J].
Al-Maadid, Alanoud ;
Alhazbi, Saleh ;
Al-Thelaya, Khaled .
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2022, 61
[2]   Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns [J].
Andersen, Torben G. ;
Bollerslev, Tim .
JOURNAL OF FINANCE, 1997, 52 (03) :1203-1203
[3]   Modeling and forecasting realized volatility [J].
Andersen, TG ;
Bollerslev, T ;
Diebold, FX ;
Labys, P .
ECONOMETRICA, 2003, 71 (02) :579-625
[4]   Roughing it up: Including jump components in the measurement, modeling, and forecasting of return volatility [J].
Andersen, Torben G. ;
Bollerslev, Tim ;
Diebold, Francis X. .
REVIEW OF ECONOMICS AND STATISTICS, 2007, 89 (04) :701-720
[5]   Impacts of COVID-19 pandemic on the global energy system and the shift progress to renewable energy: Opportunities, challenges, and policy implications [J].
Anh Tuan Hoang ;
Nizetic, Sandro ;
Olcer, Aykut, I ;
Ong, Hwai Chyuan ;
Chen, Wei-Hsin ;
Chong, Cheng Tung ;
Thomas, Sabu ;
Bandh, Suhaib A. ;
Xuan Phuong Nguyen .
ENERGY POLICY, 2021, 154
[6]  
[Anonymous], 2023, Global Economic Prospects, January 2023
[7]  
Avalos F., 2022, COMMODITY MARKETS SH
[8]   COVID-19 and stock market volatility: An industry level analysis [J].
Baek, Seungho ;
Mohanty, Sunil K. ;
Glambosky, Mina .
FINANCE RESEARCH LETTERS, 2020, 37
[9]   Long Memory, Realized Volatility and Heterogeneous Autoregressive Models [J].
Baillie, Richard T. ;
Calonaci, Fabio ;
Cho, Dooyeon ;
Rho, Seunghwa .
JOURNAL OF TIME SERIES ANALYSIS, 2019, 40 (04) :609-628
[10]   Fractionally integrated generalized autoregressive conditional heteroskedasticity [J].
Baillie, RT ;
Bollerslev, T ;
Mikkelsen, HO .
JOURNAL OF ECONOMETRICS, 1996, 74 (01) :3-30