Capturing Symmetrical and Asymmetrical Volatility in the Energy Market: Evidence of COVID-19 Outbreak and Russia Ukraine Saga

被引:3
作者
Tabassum, Sabia [1 ]
Yadav, Miklesh Prasad [2 ]
Yadav, Sangeeta [3 ]
Al-Qudah, Anas Ali [4 ]
机构
[1] Amity Univ, Amity Business Sch, Noida, Uttar Pradesh, India
[2] Indian Inst Foreign Trade IIFT, Kakinada 533001, Andhra Pradesh, India
[3] New Delhi Inst Management NDIM, New Delhi, India
[4] Liwa Coll Technol, Fac Business, Abu Dhabi, U Arab Emirates
关键词
Energy market; symmetrical volatility; asymmetrical volatility; leverage effect; STOCK MARKETS; OIL; CONNECTEDNESS; INDEXES; MODELS; IMPACT; NEWS;
D O I
10.1177/23197145231176113
中图分类号
F [经济];
学科分类号
02 ;
摘要
The purpose of this study is to capture the symmetrical and asymmetrical volatility of the energy market in India and USA during COVID-19 and Russia-Ukraine invasion. To distinguish between COVID-19 and Russia-Ukraine invasion tenure, the periods 31 December to 23 February 2022 and 24 February 2022 to January 2023 were considered. The proxies for crude oil and natural gas in India are MCX ICOMDEX (MCICRD) and MCX ICOMDEX (MNGc1), respectively. The proxies for crude oil and natural gas in India are MCX ICOMDEX (MCICRD) and MCX ICOMDEX (MNGc1) respectively while BZ:NMX and NGH2 are taken to measure the US crude oil and natural gas respectively. The standard generalized autoregressive conditional heteroscedasticity and exponential generalized autoregressive conditional heteroscedasticity are employed to capture the volatility. We observe that each series captures the new information derived from the COVID-19 outbreak and Russia-Ukraine invasion as the alpha values of these series are positive and significant. Additionally, there is the persistence of the volatility in these series as their beta values are positive and significant but leverage effect is only found during Russia-Ukraine invasion in Indian crude oil market. This article offers implications to policy makers, investors and portfolio managers.
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页数:12
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共 64 条
  • [1] Extreme asymmetric volatility: Stress and aggregate asset prices
    Aboura, Sofiane
    Wagner, Niklas
    [J]. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2016, 41 : 47 - 59
  • [2] Aliyev F., 2020, The Journal of Economic Asymmetries, V22, pe00167, DOI DOI 10.1016/J.JECA.2020.E00167
  • [3] Energy markets responds to Covid-19 pandemic
    Amamou, Souhir Amri
    Bargaoui, Saoussen Aguir
    [J]. RESOURCES POLICY, 2022, 76
  • [4] Asymmetric correlations of equity portfolios
    Ang, A
    Chen, J
    [J]. JOURNAL OF FINANCIAL ECONOMICS, 2002, 63 (03) : 443 - 494
  • [5] Are energy markets informationally smarter than equity markets? Evidence from the COVID-19 experience
    Ashok, Shruti
    Corbet, Shaen
    Dhingra, Deepika
    Goodell, John W.
    Kumar, Satish
    Yadav, Miklesh Prasad
    [J]. FINANCE RESEARCH LETTERS, 2022, 47
  • [6] A new approach to measuring financial contagion
    Bae, KH
    Karolyi, GA
    Stulz, RM
    [J]. REVIEW OF FINANCIAL STUDIES, 2003, 16 (03) : 717 - 763
  • [7] Comparative forecasting performance of symmetric and asymmetric conditional volatility models of an exchange rate
    Balaban, E
    [J]. ECONOMICS LETTERS, 2004, 83 (01) : 99 - 105
  • [8] A Model of Financialization of Commodities
    Basak, Suleyman
    Pavlova, Anna
    [J]. JOURNAL OF FINANCE, 2016, 71 (04) : 1511 - 1556
  • [9] Asymmetric volatility in cryptocurrencies
    Baur, Dirk G.
    Dimpfl, Thomas
    [J]. ECONOMICS LETTERS, 2018, 173 : 148 - 151
  • [10] Good and bad volatility spillovers: An asymmetric connectedness
    BenSaida, Ahmed
    [J]. JOURNAL OF FINANCIAL MARKETS, 2019, 43 : 78 - 95