Evidence map›Paper›PMID 35013632›Full record

ArticleAnnals of operations research2022

Dynamic nonlinear connectedness between the green bonds, clean energy, and stock price: the impact of the COVID-19 pandemic.

Shanglei Chai, Wenjun Chu, Zhen Zhang, Zhilong Li, Mohammad Zoynul Abedin

Open access · bronzeAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
33.9field-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

10 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

5 authors at 4 institutions in 3 countries.

Shanglei ChaiBusiness School, Shandong Normal University, Jinan, 250014 China.ORCID 0000-0001-6647-5613
Wenjun ChuSchool of Economics and Management, China University of Petroleum, 66 West Changjiang Road, Huangdao District, Qingdao, 266555 China.
Zhen ZhangInstitute of Systems Engineering, Dalian University of Technology, Dalian, 116024 China.
Zhilong LiBusiness School, Shandong Normal University, Jinan, 250014 China.
Mohammad Zoynul AbedinDepartment of Finance, Performance & Marketing, Teesside University International Business School, Teesside University, Middlesbrough, Tees Valley, TS1 3BX UK.ORCID 0000-0002-4688-0619
Shandong Normal University · CNChina University of Petroleum, East China · CNDalian University of Technology · CNHajee Mohammad Danesh Science and Technology University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper uses weekly data from July 01, 2011 to July 09, 2021 to examine the dynamic nonlinear connectedness between the green bonds, clean energy, and stock price around the COVID-19 outbreak in the global markets. By building a time-varying parameter vector autoregression model (TVP-VAR), the comparison analyses of pre- and during the COVID-19 sample groups verify the existence of nonlinear and dynamic correlation among the three variables. First, prior to the COVID-19 pandemic, the simultaneous impacts of clean energy on stock price increased over time. Second, the results of impulse responses at different horizons indicate that green bonds lead to a short-term increase of clean energy, and it exerts an increasingly positive impacts after the COVID-19 outbreak. The COVID-19 has weakened the negative impacts of green bonds on stock price in the medium term. Finally, through the analysis of impulse responses at different points, we find that stock prices will rise when clean energy is subjected to a positive shock, and this positive effect is stronger during economic recovery period than in the other two periods.

Indexed as

Clean energy marketCOVID-19 pandemicGreen bondsStock priceTVP-VAR

Identifiers

PMID35013632
PMCPMC8731207
OpenAlexW4205807146

What OpenQuestion holds

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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.