COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility
This paper investigates the switching effect of COVID-19 pandemic and economic policy uncertainty on commodity prices. We employ Markov regime-switching dynamic model to explore price regime dynamics of eight widely traded commodities namely oil, natural gas, corn, soybeans, silver, gold, copper, an...
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description | This paper investigates the switching effect of COVID-19 pandemic and economic policy uncertainty on commodity prices. We employ Markov regime-switching dynamic model to explore price regime dynamics of eight widely traded commodities namely oil, natural gas, corn, soybeans, silver, gold, copper, and steel. We fit two Markov switching regimes to allow parameters to respond to both low and high volatilities. The empirical evidence shows oil, natural gas, corn, soybean, silver, gold, copper, and steel returns adjust to shocks in COVID-19 outcomes and economic policy uncertainty at varying degrees––in both low volatility and high volatility regimes. In contrast, oil and natural gas do not respond to changes in COVID-19 deaths in both regimes. The findings show most commodities are responsive to historical price in terms of demand and supply in both volatility regimes. Our findings further show a high probability that commodity prices will remain in low volatility regime than in high volatility regime––owing to COVID-19-attributed market uncertainties. These findings are useful to both investors and policymakers––as precious metals and agricultural commodities show less negative response to exogenous variables. Thus, investors and portfolio managers could use precious metals, viz. Gold for short-term cover against systematic risks in the market during the period of global pandemic.
[Display omitted]
•We examine regime switching of commodity market fluctuations to COVID-19 pandemic and economic policy uncertainty.•Switching effects are examined with the Markov regime-switching dynamic technique.•We fit two-regimes switching for oil, natural gas, corn, soybean, silver, gold, copper and steel.•All commodities show high probability of remaining in low volatility regime than high volatility regime. |
doi_str_mv | 10.1016/j.resourpol.2021.102303 |
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[Display omitted]
•We examine regime switching of commodity market fluctuations to COVID-19 pandemic and economic policy uncertainty.•Switching effects are examined with the Markov regime-switching dynamic technique.•We fit two-regimes switching for oil, natural gas, corn, soybean, silver, gold, copper and steel.•All commodities show high probability of remaining in low volatility regime than high volatility regime.</description><identifier>ISSN: 0301-4207</identifier><identifier>ISSN: 1873-7641</identifier><identifier>EISSN: 1873-7641</identifier><identifier>DOI: 10.1016/j.resourpol.2021.102303</identifier><identifier>PMID: 34580556</identifier><language>eng</language><publisher>London: Elsevier Ltd</publisher><subject>Agricultural commodities ; Commodities ; Commodity market ; Commodity markets ; Commodity prices ; Copper ; Corn ; Coronaviruses ; COVID-19 ; Dynamic models ; Economic models ; Economic policy ; Economic policy uncertainty ; Environmental Sciences & Ecology ; Environmental Studies ; Gold ; Investors ; Life Sciences & Biomedicine ; Markets ; Markov switching ; Metals ; Natural gas ; Noble metals ; Pandemics ; Petroleum ; Policy making ; Precious metals ; Pricing ; Pricing policies ; Resource policy ; Science & Technology ; Silver ; Soybeans ; Supply & demand ; Switching ; Uncertainty ; Volatility</subject><ispartof>Resources policy, 2021-12, Vol.74, p.102303-102303, Article 102303</ispartof><rights>2021 The Author(s)</rights><rights>2021 The Author(s).</rights><rights>Copyright Elsevier Science Ltd. Dec 2021</rights><rights>2021 The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>52</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000700368100067</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c536t-5316570844f8d6db21b84c666e0ed02da991264fedcae3cf97a91083221157e93</citedby><cites>FETCH-LOGICAL-c536t-5316570844f8d6db21b84c666e0ed02da991264fedcae3cf97a91083221157e93</cites><orcidid>0000-0001-5035-5983</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.resourpol.2021.102303$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,315,782,786,887,3554,27875,27933,27934,39266,46004</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34580556$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ahmed, Maruf Yakubu</creatorcontrib><creatorcontrib>Sarkodie, Samuel Asumadu</creatorcontrib><title>COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility</title><title>Resources policy</title><addtitle>RESOUR POLICY</addtitle><addtitle>Resour Policy</addtitle><description>This paper investigates the switching effect of COVID-19 pandemic and economic policy uncertainty on commodity prices. We employ Markov regime-switching dynamic model to explore price regime dynamics of eight widely traded commodities namely oil, natural gas, corn, soybeans, silver, gold, copper, and steel. We fit two Markov switching regimes to allow parameters to respond to both low and high volatilities. The empirical evidence shows oil, natural gas, corn, soybean, silver, gold, copper, and steel returns adjust to shocks in COVID-19 outcomes and economic policy uncertainty at varying degrees––in both low volatility and high volatility regimes. In contrast, oil and natural gas do not respond to changes in COVID-19 deaths in both regimes. The findings show most commodities are responsive to historical price in terms of demand and supply in both volatility regimes. Our findings further show a high probability that commodity prices will remain in low volatility regime than in high volatility regime––owing to COVID-19-attributed market uncertainties. These findings are useful to both investors and policymakers––as precious metals and agricultural commodities show less negative response to exogenous variables. Thus, investors and portfolio managers could use precious metals, viz. Gold for short-term cover against systematic risks in the market during the period of global pandemic.
[Display omitted]
•We examine regime switching of commodity market fluctuations to COVID-19 pandemic and economic policy uncertainty.•Switching effects are examined with the Markov regime-switching dynamic technique.•We fit two-regimes switching for oil, natural gas, corn, soybean, silver, gold, copper and steel.•All commodities show high probability of remaining in low volatility regime than high volatility regime.</description><subject>Agricultural commodities</subject><subject>Commodities</subject><subject>Commodity market</subject><subject>Commodity markets</subject><subject>Commodity prices</subject><subject>Copper</subject><subject>Corn</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Dynamic models</subject><subject>Economic models</subject><subject>Economic policy</subject><subject>Economic policy uncertainty</subject><subject>Environmental Sciences & Ecology</subject><subject>Environmental Studies</subject><subject>Gold</subject><subject>Investors</subject><subject>Life Sciences & Biomedicine</subject><subject>Markets</subject><subject>Markov switching</subject><subject>Metals</subject><subject>Natural gas</subject><subject>Noble metals</subject><subject>Pandemics</subject><subject>Petroleum</subject><subject>Policy making</subject><subject>Precious metals</subject><subject>Pricing</subject><subject>Pricing policies</subject><subject>Resource policy</subject><subject>Science & Technology</subject><subject>Silver</subject><subject>Soybeans</subject><subject>Supply & demand</subject><subject>Switching</subject><subject>Uncertainty</subject><subject>Volatility</subject><issn>0301-4207</issn><issn>1873-7641</issn><issn>1873-7641</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GIZIO</sourceid><sourceid>7TQ</sourceid><recordid>eNqNkV2L1DAUhoso7rj6F7TgjSAd89UkvRGW-rWwsDfqlRAy6emasW3GJB2Zf-8ZOg7qjV6EpMnznp7DUxTPKFlTQuWr7TpCCnPchWHNCKN4yzjh94oV1YpXSgp6v1gRTmglGFEXxaOUtoSQWmn5sLjgotakruWq-NLefr5-U9Gm3Nmpg9G7EvcSXJjC8QN_4N2hnCcHMVs_5UMZ4c6PkErb9-By6cI4hs7jw2jjN8jlPgw2-wFvHhcPejskeHLaL4tP795-bD9UN7fvr9urm8rVXOaq5lTWimghet3JbsPoRgsnpQQCHWGdbRrKpOihcxa46xtlG0o0Z4zSWkHDL4vXS93dvBmRgilHO5hd9NjSwQTrzZ8vk_9q7sLeaFE3tFFY4MWpQAzfZ0jZjD45GAY7QZiTYbVSApcWiD7_C92ihwnHM0yiAyEEP3akFsrFkFKE_twMJeZo0GzN2aA5GjSLQUw-_X2Wc-6XMgT0AvyATeiT84Buzhg6VoRwqSmepGp9RhdhasM8ZYy-_P8o0lcLDahu7yGaU6LzEcWbLvh_TvMTDwXSpA</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Ahmed, Maruf Yakubu</creator><creator>Sarkodie, Samuel Asumadu</creator><general>Elsevier Ltd</general><general>Elsevier</general><general>Elsevier Science Ltd</general><general>The Author(s). Published by Elsevier Ltd</general><scope>6I.</scope><scope>AAFTH</scope><scope>17B</scope><scope>BLEPL</scope><scope>DVR</scope><scope>EGQ</scope><scope>GIZIO</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>JG9</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5035-5983</orcidid></search><sort><creationdate>20211201</creationdate><title>COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility</title><author>Ahmed, Maruf Yakubu ; Sarkodie, Samuel Asumadu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c536t-5316570844f8d6db21b84c666e0ed02da991264fedcae3cf97a91083221157e93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural commodities</topic><topic>Commodities</topic><topic>Commodity market</topic><topic>Commodity markets</topic><topic>Commodity prices</topic><topic>Copper</topic><topic>Corn</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Dynamic models</topic><topic>Economic models</topic><topic>Economic policy</topic><topic>Economic policy uncertainty</topic><topic>Environmental Sciences & Ecology</topic><topic>Environmental Studies</topic><topic>Gold</topic><topic>Investors</topic><topic>Life Sciences & Biomedicine</topic><topic>Markets</topic><topic>Markov switching</topic><topic>Metals</topic><topic>Natural gas</topic><topic>Noble metals</topic><topic>Pandemics</topic><topic>Petroleum</topic><topic>Policy making</topic><topic>Precious metals</topic><topic>Pricing</topic><topic>Pricing policies</topic><topic>Resource policy</topic><topic>Science & Technology</topic><topic>Silver</topic><topic>Soybeans</topic><topic>Supply & demand</topic><topic>Switching</topic><topic>Uncertainty</topic><topic>Volatility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahmed, Maruf Yakubu</creatorcontrib><creatorcontrib>Sarkodie, Samuel Asumadu</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Web of Knowledge</collection><collection>Web of Science Core Collection</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>Web of Science - Social Sciences Citation Index – 2021</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Resources policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmed, Maruf Yakubu</au><au>Sarkodie, Samuel Asumadu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility</atitle><jtitle>Resources policy</jtitle><stitle>RESOUR POLICY</stitle><addtitle>Resour Policy</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>74</volume><spage>102303</spage><epage>102303</epage><pages>102303-102303</pages><artnum>102303</artnum><issn>0301-4207</issn><issn>1873-7641</issn><eissn>1873-7641</eissn><abstract>This paper investigates the switching effect of COVID-19 pandemic and economic policy uncertainty on commodity prices. We employ Markov regime-switching dynamic model to explore price regime dynamics of eight widely traded commodities namely oil, natural gas, corn, soybeans, silver, gold, copper, and steel. We fit two Markov switching regimes to allow parameters to respond to both low and high volatilities. The empirical evidence shows oil, natural gas, corn, soybean, silver, gold, copper, and steel returns adjust to shocks in COVID-19 outcomes and economic policy uncertainty at varying degrees––in both low volatility and high volatility regimes. In contrast, oil and natural gas do not respond to changes in COVID-19 deaths in both regimes. The findings show most commodities are responsive to historical price in terms of demand and supply in both volatility regimes. Our findings further show a high probability that commodity prices will remain in low volatility regime than in high volatility regime––owing to COVID-19-attributed market uncertainties. These findings are useful to both investors and policymakers––as precious metals and agricultural commodities show less negative response to exogenous variables. Thus, investors and portfolio managers could use precious metals, viz. Gold for short-term cover against systematic risks in the market during the period of global pandemic.
[Display omitted]
•We examine regime switching of commodity market fluctuations to COVID-19 pandemic and economic policy uncertainty.•Switching effects are examined with the Markov regime-switching dynamic technique.•We fit two-regimes switching for oil, natural gas, corn, soybean, silver, gold, copper and steel.•All commodities show high probability of remaining in low volatility regime than high volatility regime.</abstract><cop>London</cop><pub>Elsevier Ltd</pub><pmid>34580556</pmid><doi>10.1016/j.resourpol.2021.102303</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-5035-5983</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural commodities Commodities Commodity market Commodity markets Commodity prices Copper Corn Coronaviruses COVID-19 Dynamic models Economic models Economic policy Economic policy uncertainty Environmental Sciences & Ecology Environmental Studies Gold Investors Life Sciences & Biomedicine Markets Markov switching Metals Natural gas Noble metals Pandemics Petroleum Policy making Precious metals Pricing Pricing policies Resource policy Science & Technology Silver Soybeans Supply & demand Switching Uncertainty Volatility |
title | COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility |
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