Evidence map›Paper›PMID 34580556›Full record

ArticleResources policy2021

COVID-19 pandemic and economic policy uncertainty regimes affect commodity market volatility.

Maruf Yakubu Ahmed, Samuel Asumadu Sarkodie

Open access · hybridAbstract read
In one paragraph

Article in Resources policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
21.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
  2. Article
  3. The sum of all SCARES COVID-19 sentiment and asset return.The Quarterly review of economics and finance : journal of the Midwest Economics Association · 2022
    Article
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Maruf Yakubu AhmedNord University Business School (HHN). Post Box 1490, 8049 Bodø, Norway.
Samuel Asumadu SarkodieNord University Business School (HHN). Post Box 1490, 8049 Bodø, Norway.
Nord University · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Commodity marketCOVID-19Economic policy uncertaintyGoldMarkov switchingResource policy

Identifiers

PMID34580556
PMCPMC8459197
OpenAlexW3196280376

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.