Evidence map›Paper›PMID 36569184›Full record

ArticleResources policy2021

Price overreactions in the commodity futures market: An intraday analysis of the Covid-19 pandemic impact.

Oliver Borgards, Robert L Czudaj, Thi Hong Van Hoang

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
23.9field-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

9 citing papers in PubMed, 92 citations in OpenAlex.

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  6. New evidence on COVID-19 and firm performance.Economic analysis and policy · 2021
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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 2 countries.

Oliver BorgardsChemnitz University of Technology, Department of Economics and Business, Empirical Economics, Thüringer Weg 7, D-09126 Chemnitz, Germany.
Robert L CzudajChemnitz University of Technology, Department of Economics and Business, Empirical Economics, Thüringer Weg 7, D-09126 Chemnitz, Germany.
Thi Hong Van HoangSocial & Sustainable Finance, Montpellier Business School, 2300 avenue des Moulins, 34185, Montpellier, France.
Chemnitz University of Technology · DEMontpellier Business School · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this paper is to examine the overreaction behavior of 20 commodity futures based on intraday data from November 20, 2019 to June 3, 2020 with a focus on the impact of the Covid-19 pandemic. A dynamic and non-parametric approach is applied on intraday data for four different frequencies (from 1 min to 1 h) and two different sub-periods (pre-Covid-19 pandemic and during Covid-19 pandemic) in order to detect overreaction behavior which is defined as a large change of prices followed by proportional price reversals. Our empirical findings show that the overreaction hypothesis is confirmed for the considered commodity futures. Furthermore, both the number and the amplitude of overreactions is higher during the Covid-19 pandemic. Our findings also indicate that soft and metal commodities show much less overreactions than precious metals and especially energy commodities. In particular, crude oil futures exhibit a different overreaction behavior compared to other commodities since it has a higher number of negative than positive overreactions during the Covid-19 pandemic. We also find that the data frequency is independent of the overreacting behavior in both periods as the results continuously improve when having more observations due to higher frequencies. Finally, we find that extreme overreactions during the Covid-19 pandemic provide a great potential for profitable trading returns, which can be exploited by traders.

Indexed as

CommoditiesMean reversionOverreactionTrading strategyTurning point

Identifiers

PMID36569184
PMCPMC9759686
OpenAlexW3118474073

What OpenQuestion holds

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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.