Evidence map›Paper›PMID 36277436›Full record

ArticleEnergy economics2022

China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?

Yuan Tong, Ning Wan, Xingyu Dai, Xiaoyi Bi, Qunwei Wang

Open access · greenAbstract read
In one paragraph

Article in Energy economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
12.0field-weighted citation impact, top 2% 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

4 citing papers in PubMed, 46 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

5 authors at 1 institution in 1 country.

Yuan TongCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Ning WanCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Xingyu DaiCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Xiaoyi BiCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Qunwei WangCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Nanjing University of Aeronautics and Astronautics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The price jump behavior may bring tremendous challenges on risk management and asset pricing. This paper uses the BN-S test, the wavelet coherence method, and applies high-frequency data to explore whether and to what extent the COVID-19 pandemic impacts China's energy stock market jumps and its characteristics. The empirical results uncover the significant and heterogeneous interactions between the COVID-19 pandemic and China's energy stock market jumps across market specifications, investment horizons, and China/global pandemic tolls at different time scales. First, the oil stock market jumps were the most correlated with the pandemic, especially during the peak and re-deterioration phases. The pandemic played a positive and leading role in the short term (1-4 days length period) and long term (over 32 days length period). Second, the coal stock market jumps have similar characteristics to those of oil, but mainly show a negative correlation with the pandemic. Third, renewable energy stock market jumps were the least correlated, mainly showing a positive correlation in the short term and a negative correlation in the long term. In addition, the interaction characteristics of systemic co-jumps in different China's energy stock markets are also significant.

Indexed as

BN-S testChina energy stock marketsCOVID-19Price jumpsWavelet coherence method

Identifiers

PMID36277436
PMCPMC9576550
OpenAlexW4220905072

What OpenQuestion holds

Textmetadata
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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.