The stock market reaction to the US-China tensions: Evidence from emerging and developed markets

Abstract This paper examines the effect of US-China tensions on stock market volatility across developed and emerging economies using a newly developed US-China Tension (UCT) index. Employing both in-sample and out-of-sample predictability approaches, the study investigates whether UCT significantly explains variation in stock return volatility within the sample period, assesses the model’s explanatory power, and evaluates whether incorporating UCT improves predictions of future volatility beyond what is captured by geopolitical risk (GPR) alone. The findings reveal a positive relationship between UCT and stock market volatility. Further evidence from the multivariate panel data model suggests that the volatility effects associated with US-China tensions are short-lived, albeit with greater resilience for the emerging markets. Overall, the results highlight the global significance of these tensions and caution against rapid policy changes, as their impact may fade with time.

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Publication Details

Journal
Journal of Economics and Finance
Published
2026-09-11
DOI
https://doi.org/10.1007/s12197-026-09784-8
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

The stock market reaction to the US-China tensions: Evidence from emerging and developed markets

Afees Salisu, Modestus Chidi Nsonwu
Journal of Economics and Finance
Financial Risk and Volatility Modeling
article

The stock market reaction to the US-China tensions: Evidence from emerging and developed markets

Afees Salisu, Modestus Chidi Nsonwu
article en

Abstract

Abstract This paper examines the effect of US-China tensions on stock market volatility across developed and emerging economies using a newly developed US-China Tension (UCT) index. Employing both in-sample and out-of-sample predictability approaches, the study investigates whether UCT significantly explains variation in stock return volatility within the sample period, assesses the model’s explanatory power, and evaluates whether incorporating UCT improves predictions of future volatility beyond what is captured by geopolitical risk (GPR) alone. The findings reveal a positive relationship between UCT and stock market volatility. Further evidence from the multivariate panel data model suggests that the volatility effects associated with US-China tensions are short-lived, albeit with greater resilience for the emerging markets. Overall, the results highlight the global significance of these tensions and caution against rapid policy changes, as their impact may fade with time.

Journal of Economics and FinanceVol. 50(1)
Veritas University (NG), University of Pretoria (ZA)
University of Pretoria
Openalex Percentile: Top 7%
Financial Risk and Volatility Modeling
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