Global uncertainties and stock returns under heterogeneous market conditions: Evidence from wavelet coherence analysis

Over the years, the world has faced numerous global uncertainties, each leaving a profound impact on the global economy and the financial market. This has increased the research on how these uncertainties affect various stocks. However, limited attention has been directed toward comprehending the combined influence of geopolitical risk, global policy uncertainty, and infectious disease equity market volatility on heterogeneous stock returns. This study sets out to investigate the impact of geopolitical risk (GPRH), global policy uncertainty (GPU), infectious disease equity market volatility (ID-EMV), and their correlations on stock returns in a heterogeneous market context, employing wavelet coherence analysis. The study's outcomes emphasize the temporal nature of these uncertainties’ effects on financial markets. Furthermore, our research shows that there is a stronger influence on stock returns from various markets when the combined effects of GPU, ID-EMV, and GPRH are taken into account than when the effects are taken into account separately. This implies that times when all of these factors are operating concurrently will see greater fluctuations in markets than times when only one of them acts in the market. The findings of the study provide significant insight into the complex relationship between economic indicators and stock market performance, allowing investors and policymakers to gain a better understanding of the dynamics of global financial markets.

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Publication Details

Journal
Scientific African
Published
2024-09-15
DOI
https://doi.org/10.1016/j.sciaf.2024.e02365
Citations
3
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.39
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article

Global uncertainties and stock returns under heterogeneous market conditions: Evidence from wavelet coherence analysis

Samuel Asante Gyamerah, Clement Asare, Kenneth Sena Blekor, Sedinam Abra Benardine Bissi et al.
3 citations
Scientific African
Market Dynamics and Volatility
3.39
article

Global uncertainties and stock returns under heterogeneous market conditions: Evidence from wavelet coherence analysis

Samuel Asante Gyamerah, Clement Asare, Kenneth Sena Blekor, Sedinam Abra Benardine Bissi, Gabriel Elike Mawuhorm, Cornelius Benle Tanoel
article en
3 citations

Abstract

Over the years, the world has faced numerous global uncertainties, each leaving a profound impact on the global economy and the financial market. This has increased the research on how these uncertainties affect various stocks. However, limited attention has been directed toward comprehending the combined influence of geopolitical risk, global policy uncertainty, and infectious disease equity market volatility on heterogeneous stock returns. This study sets out to investigate the impact of geopolitical risk (GPRH), global policy uncertainty (GPU), infectious disease equity market volatility (ID-EMV), and their correlations on stock returns in a heterogeneous market context, employing wavelet coherence analysis. The study's outcomes emphasize the temporal nature of these uncertainties’ effects on financial markets. Furthermore, our research shows that there is a stronger influence on stock returns from various markets when the combined effects of GPU, ID-EMV, and GPRH are taken into account than when the effects are taken into account separately. This implies that times when all of these factors are operating concurrently will see greater fluctuations in markets than times when only one of them acts in the market. The findings of the study provide significant insight into the complex relationship between economic indicators and stock market performance, allowing investors and policymakers to gain a better understanding of the dynamics of global financial markets.

Scientific AfricanVol. 26
Kwame Nkrumah University of Science and Technology (GH)
Openalex Percentile: Top 6%
Market Dynamics and Volatility
3.39
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Global uncertainties and stock returns under heterogeneous market conditions: Evidence from wavelet coherence analysis — Samuel Asante Gyamerah, Clement Asare, et al. · Scientific African (2024) | TGRS Research Map | TGRS