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Econometric modeling reveals trade policy uncertainty alters stock–T-bill correlations in US financial markets, highlighting political impacts on portfolio risk management.
Purpose This paper examines how trade policy uncertainty (TPU) influences the correlation between U.S. stock indices and short-term government bonds. The objective is to assess whether policy-related shocks, especially those linked to trade tensions, alter the traditional stock–T-bill relationship and its implications for investors. Design/methodology/approach The authors extend the dynamic conditional correlation (DCC) framework by incorporating exogenous variables to account for external shocks. Three specifications are analyzed: one using the TPU index, one including a dummy variable reflecting presidential-cycle effects and one combining both through an interaction term. The analysis is based on daily data for major U.S. stock indices and the 3-month Treasury bill. Findings Results indicate that TPU exerts a significant effect on stock–T-bill correlations. Moreover, its influence becomes stronger under specific political conditions, suggesting that political agendas can amplify the impact of trade-related shocks on financial markets. Crucially, augmenting the DCC framework with trade-policy-related variables enhances both the statistical fit and the portfolio relevance of correlation forecasts. Originality/value Therefore, this study contributes to the literature by explicitly integrating policy-related uncertainty into correlation modeling through an augmented DCC framework. The findings provide new insights for portfolio allocation and risk management in environments characterized by heightened trade tensions.
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Demetrio Lacava (2026) studied this question.
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