Evidence map›Paper›PMID 39050419›Full record

ArticleHeliyon2024

Sensitivity to changes in oil prices, tax returns and the cross-section of stock returns: The present situation for net-oil exporting economies.

Qingjing Lou, Nadeem Iqbal, Yasser Alraey

RetractedAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

  • Retraction · 2025-07-17Concerns/Issues about Authorship/Affiliation · Investigation by Journal/Publisher · Unreliable Results and/or Conclusions ·
5 · Who and what money

Authors and funding

3 authors.

Qingjing LouZhejiang Business Technician College, Ningbo, Zhejiang, 315000, China.
Nadeem IqbalDepartment of Management Sciences, National Skills University Islamabad, Pakistan.
Yasser AlraeyDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the sensitivity of stock returns to changes in oil prices and tax returns in net-oil exporting economies, focusing on the Gulf Cooperation Council (GCC) countries from March 30, 2003 to March 30, 2022. The problem statement addresses the challenge of understanding the interplay between oil price fluctuations, tax policies, and stock market dynamics in these economies, which are heavily reliant on oil revenues. The aim of the study is to provide insights into how variations in oil prices and tax returns impact the cross-section of stock returns in the GCC region. The objectives include analyzing the econometric relationships between oil prices, tax policies, and stock market performance using an appropriate econometric model. The results reveal a significant sensitivity of stock returns to changes in oil prices and tax returns in the GCC countries during the specified period. The econometric model employed indicates strong correlations between fluctuations in oil prices, tax policies, and stock market movements, highlighting the intricate connections between these variables. Moreover, the study identifies specific sectors within the stock market that are particularly sensitive to oil price changes and tax policy adjustments. Policymakers in the GCC countries can use these insights to design more effective fiscal and economic policies aimed at enhancing market stability and investor confidence amidst dynamic oil market conditions.

Indexed as

Dynamic oil marketMarket stabilityStock returnsTax returns

Identifiers

PMID39050419
PMCPMC11266989

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.