Evidence map›Paper›PMID 36120421›Full record

ArticleAnnals of operations research2022

Do commodity assets hedge uncertainties? What we learn from the recent turbulence period?

Md Bokhtiar Hasan, Md Naiem Hossain, Juha Junttila, Gazi Salah Uddin, Mustafa Raza Rabbani

Abstract read
In one paragraph

Article in Annals of operations research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Md Bokhtiar HasanDepartment of Finance and Banking, Islamic University, Kushtia, 7003 Bangladesh.ORCID 0000-0002-5390-077X
Md Naiem HossainDepartment of Finance and Banking, Islamic University, Kushtia, 7003 Bangladesh.ORCID 0000-0002-6812-7636
Juha JunttilaSchool of Business and Economics, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0003-4144-126X
Gazi Salah UddinDepartment of Management and Engineering, Linköping University, Linköping, Sweden.ORCID 0000-0002-5744-0192
Mustafa Raza RabbaniDepartment of Economics and Finance, College of Business Administration, University of Bahrain, Sakhir, Bahrain.ORCID 0000-0002-9263-5657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyses the impact of different uncertainties on commodity markets to assess commodity markets' hedging or safe-haven properties. Using time-varying dynamic conditional correlation and wavelet-based Quantile-on-Quantile regression models, our findings show that, both before and during the COVID-19 crisis, soybeans and clean energy stocks offer strong safe-haven opportunities against cryptocurrency price uncertainty and geopolitical risks (GPR). Soybean markets weakly hedge cryptocurrency policy uncertainty, US economic policy uncertainty, and crude oil volatility. In addition, GSCI commodity and crude oil also offer a weak safe-haven property against cryptocurrency uncertainties and GPR. Consistent with earlier studies, our findings indicate that safe-haven traits can alter across frequencies and quantiles. Our findings have significant implications for investors and regulators in hedging and making proper decisions, respectively, under diverse uncertain circumstances.

Indexed as

CommoditiesCOVID-19DCC-GARCHQuantile-on-quantileSafe-havenUncertainties

Identifiers

PMID36120421
PMCPMC9465658

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Registered trials

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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.