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On the relation between Pandemic Disease Outbreak News and Crude oil, Gold, Gold mining, Silver and Energy Markets

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  • Shaikh, Imlak

Abstract

Fear of the disease outbreak news (DONs) has shocked commodity markets and raised the likelihood of economic uncertainty and recession globally. This article examines the unprecedented overreaction of investors sentiments in the commodities such as Crude oil, Gold, Gold Mining, Silver, and the Energy sector. The deadly effects of DONs-COVID-19 in the commodities market have been the worst in history; it appeared the first time higher than the common stock's volatility. Covid-19 induced economic uncertainty has impacted severely through all commodities except the safe-haven Gold (GVZ). Importantly, ETF Options based Implied Volatility Index of Crude (OVX), Silver (VXSLV), and Energy (VXXLE) stocks have crossed the peak level what it was prevailing during the global financial crisis 2008. The unparalleled upsurge of the implied volatility index across all commodities indicates higher demand for the hedge funds to protects the commodity portfolio. ETF options on the commodity act as the best hedge against market uncertainty. Overburden on the put option results in an increased risk premium, henceforth higher expected volatility. ETF options truly measure the investor's fear of predominant in the commodity market.

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  • Shaikh, Imlak, 2021. "On the relation between Pandemic Disease Outbreak News and Crude oil, Gold, Gold mining, Silver and Energy Markets," Resources Policy, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:jrpoli:v:72:y:2021:i:c:s0301420721000428
    DOI: 10.1016/j.resourpol.2021.102025
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    Cited by:

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    2. Bouri, Elie & Lei, Xiaojie & Xu, Yahua & Zhang, Hongwei, 2023. "Connectedness in implied higher-order moments of precious metals and energy markets," Energy, Elsevier, vol. 263(PB).
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    4. AHMAD TIBRIZI SONI Wicaksono & ARIEF Mufraini & TITIS Miranti & MUHAMMAD KHAERUL Muttaqien, 2023. "Bitcoin Vs Gold: Which One Is The Most Powerful In Boosting The Shariah Equity Index? Global Evidence," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 18(1), pages 5-36, April.
    5. Arfaoui, Nadia & Yousaf, Imran & Jareño, Francisco, 2023. "Return and volatility connectedness between gold and energy markets: Evidence from the pre- and post-COVID vaccination phases," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 617-634.
    6. Daniel Stefan Armeanu & Stefan Cristian Gherghina & Jean Vasile Andrei & Camelia Catalina Joldes, 2022. "Modeling the impact of the COVID‐19 outbreak on environment, health sector and energy market," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1387-1416, October.
    7. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    8. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
    9. Lee, Chien-Chiang & Yahya, Farzan, 2024. "Mitigating energy instability: The influence of trilemma choices, financial development, and technology advancements," Energy Economics, Elsevier, vol. 133(C).
    10. Shafa Guliyeva, 2023. "Analysis of the effect of Energy Prices on Stock Indexes During the Epidemic Crisis," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 526-536, March.
    11. Zhang, Hongwei & Hong, Huojun & Guo, Yaoqi & Yang, Cai, 2022. "Information spillover effects from media coverage to the crude oil, gold, and Bitcoin markets during the COVID-19 pandemic: Evidence from the time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 267-285.
    12. Mensi, Walid & Lee, Yun-Jung & Vo, Xuan Vinh & Yoon, Seong-Min, 2021. "Quantile connectedness among gold, gold mining, silver, oil and energy sector uncertainty indexes," Resources Policy, Elsevier, vol. 74(C).
    13. Dylan Norbert Gono & Herlina Napitupulu & Firdaniza, 2023. "Silver Price Forecasting Using Extreme Gradient Boosting (XGBoost) Method," Mathematics, MDPI, vol. 11(18), pages 1-15, September.
    14. Wang, Lu & Guan, Li & Ding, Qian & Zhang, Hongwei, 2023. "Asymmetric impact of COVID-19 news on the connectedness of the green energy, dirty energy, and non-ferrous metal markets," Energy Economics, Elsevier, vol. 126(C).
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    More about this item

    Keywords

    Covid-19; Crude oil; Implied volatility index; Gold; Silver; Uncertainty;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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