Evidence map›Paper›PMID 39497954›Full record

ArticleHeliyon2024

Navigating Ghana's economic waters: Exploring the impact of Fiscal and Monetary policies on stock market performance.

Benjamin Blandful Cobbinah, Yang Wen, Francis Atta Sarpong

Abstract 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. 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

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.

Benjamin Blandful CobbinahCollege of Economics, Shenzhen University, Shenzhen, China.
Yang WenCollege of Economics, Shenzhen University, Shenzhen, China.
Francis Atta SarpongSchool of Finance, Zhongnan University of Economics and Law, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study leverages the Autoregressive Distributed Lag (ARDL) and Exponential Generalized Conditional Heteroscedasticity (EGARCH) models to conduct a thorough examination of the impact of fiscal and monetary policies on the Ghanaian stock market from 1990 to 2022. Key findings indicate that government spending and tax revenue, as components of fiscal policy, are positively associated with stock returns, contrasting with the negative influence of the industrial production index. On the monetary policy front, interest rates are found to negatively affect stock performance, while exchange rates and the money supply exert positive influences. In the short term, government spending enhances stock returns, although the effects of GDP and the industrial production index are inconsistent, with exchange rates and money supply demonstrating a negative impact. The study underscores the profound sway that policy decisions have on stock market dynamics, underscoring an urgent need for investors and policymakers to closely monitor policy shifts and their market reverberations. A pivotal policy recommendation emerging from this research is the strategic synchronization of fiscal and monetary policies by policymakers to underpin stock market stability and growth. Such harmonization can counteract the adverse effects of policy-induced volatility, cultivating an investment-friendly climate. Investors and policymakers are encouraged to draw upon a spectrum of credible sources, encompassing financial news, governmental releases, and market analyses, to remain abreast of policy evolutions. This research offers precious perspectives on the nexus between economic policies and market movements, offering value for academic inquiry and informing practical decision-making strategies.

Indexed as

ARDLEGARCHFiscal PolicyMonetary PolicyStock market performance

Identifiers

PMID39497954
PMCPMC11532289

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.