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Economic policy uncertainty and commodity market volatility: implications for economic recovery.
Xiao, Daiyou; Su, Jinxia; Ayub, Bakhtawer.
  • Xiao D; School of Finance, Central University of Finance and Economics, Beijing, 100081, China. 2019110026@email.cufe.edu.cn.
  • Su J; Business School, Central University of Finance and Economics, Beijing, 100081, China.
  • Ayub B; College of Management, Shenzhen University, Shenzhen, 518060, China.
Environ Sci Pollut Res Int ; 29(40): 60662-60673, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1850406
ABSTRACT
As a consequence of the COVID-19 pandemic outbreak, most commodities experienced significant price drops, which were expected to continue well into 2020. As a result, the Markov switching model is used to study the influence of policy uncertainty and the COVID-19 pandemic on commodity prices in the USA. Commodity markets are stimulated by economic policy uncertainty, according to results from a two-state Markov switching model. In both high and low regimes, economic policy uncertainty (EPU) influences the commodity market, according to the study's findings. However, in the high regime, EPU has a greater influence on the energy and metal sectors. EPU has different influences on commodity markets in high- and low-volatility regimes, according to this study. There is a wide range of correlations between COVID-19 outcomes and EPU and how the prices of natural gas, oil, corn, silver, soybean, copper, gold, and steel respond to these tremors, in both high- and low-volatility tenure. Oil and natural gas, on the other hand, are unaffected by shifts in COVID-19 death rates under either regime. Results show that in both high- and low-volatility regimes, the demand and supply for most commodities are responsive to historical prices.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-022-19328-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Environ Sci Pollut Res Int Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-022-19328-2