Evidence map›Paper›PMID 37361088›Full record

ArticleAnnals of operations research2023

Systemic risk contagion of green and Islamic markets with conventional markets.

Muhammad Abubakr Naeem, Sitara Karim, Larisa Yarovaya, Brian M Lucey

Open access · bronzeAbstract read
In one paragraph

Article in Annals of operations research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
12.6field-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

1 citing paper in PubMed, 22 citations in OpenAlex.

  1. 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

4 authors at 4 institutions in 6 countries.

Muhammad Abubakr NaeemAccounting and Finance Department, United Arab Emirates University, P.O. Box 15551, Al-Ain, United Arab Emirates.ORCID 0000-0001-6962-3175
Sitara KarimDepartment of Economics and Finance, Sunway Business School, Sunway University, Subang Jaya, 47500 Malaysia.ORCID 0000-0001-5086-6230
Larisa YarovayaThe Centre for Digital Finance, Southampton Business School, Southampton, UK.ORCID 0000-0002-9638-2917
Brian M LuceyTrinity Business School, Trinity College Dublin, Dublin, Ireland.ORCID 0000-0002-4052-8235
Abu Dhabi University · AESunway University · MYUnited Arab Emirates University · AEUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Financial markets are exposed to extreme uncertain circumstances escalating their tail risk. Sustainable, religious, and conventional markets represent three different markets with various characteristics. Motivated with this, the current study measures the tail connectedness between sustainable, religious, and conventional investments by employing a neural network quantile regression approach from December 1, 2008 to May 10, 2021. The neural network recognized religious and conventional investments with maximum exposure to tail risk following the crisis periods reflecting strong diversification benefits of sustainable assets. The

Indexed as

CoVaRCOVID-19Neural networksReligious investmentsSustainable investments

Identifiers

PMID37361088
PMCPMC10112322
OpenAlexW4366333911

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.