Evidence map›Paper›PMID 36567729›Full record

ArticleResources policy2021

The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels.

Zaghum Umar, Mariya Gubareva, Tamara Teplova

Open access · greenAbstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
34.0field-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

15 citing papers in PubMed, 129 citations in OpenAlex.

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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

3 authors at 2 institutions in 3 countries.

Zaghum UmarCollege of Business, Zayed University, P.O. Box 144534, Abu Dhabi, United Arab Emirates.
Mariya GubarevaISCAL - Lisbon Accounting and Business School, Instituto Politécnico de Lisboa, Av. Miguel Bombarda, 20, 1069-035 Lisbon, Portugal.
Tamara TeplovaNational Research University Higher School of Economics / HSE University, Shabolovka str., 26, bld. 4, 119049, Moscow, Russian Federation.
National Research University Higher School of Economics · RUSouth Ural State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We apply wavelet analyses to study how the Covid pandemic influenced the volatility of commodity prices, covering various classes of commodities. We document the intervals of low, medium, and high coherence between the coronavirus panic index and the moves of the commodity prices. The low coherence intervals indicate the diversification potential of commodity investments during a systemic pandemic such as Covid-19. We document differences in the observed patterns per commodity category and evidence their potential role for designing cross-assets hedge strategies based on investments in commodities.

Indexed as

CausalityCoherenceCommodityCo-movementsCoronavirus panic indexCovid-19Hedge strategiesLeads and lagsPhase differenceRegime switchingResources policyVolatilityWavelet coherence phase-difference

Identifiers

PMID36567729
PMCPMC9758277
OpenAlexW3169335651

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.