Measuring Political Risk in the Stock Market : An Empirical Study of Economic Policy Uncertainty and the Volatility Index

This paper investigates how Economic Policy Uncertainty (EPU) and the Volatility Index (VIX) in financial markets relate in both the long and short term. After examining the stability, causality, and long-term equilibrium between these two variables, a vector error correction model is constructed to quantify their dynamics. Impulse-response functions indicate that a positive shock to VIX initially has a muted impact on EPU, but the effect strengthens over time and eventually stabilizes, and variance-decomposition analysis suggests that shocks of VIX attributes to the forecast-error variance in EPU to some extent after several periods. As for robustness check, VIX is supplanted by Geopolitical Risk (GPR), and the results corroborate previous findings: the cointegrating relationship persists, and the VECM again produces significant error-correction coefficients. The findings contributes to understand how economic policy uncertainty influences market dynamics, and also provides practical insights for policymakers and investors to better handle risks linked to policy uncertainty.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2025-09-24
DOI
https://doi.org/10.54254/2754-1169/2025.gl27009
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
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article

Measuring Political Risk in the Stock Market : An Empirical Study of Economic Policy Uncertainty and the Volatility Index

Yue Feng
Advances in Economics Management and Political Sciences
Market Dynamics and Volatility
article

Measuring Political Risk in the Stock Market : An Empirical Study of Economic Policy Uncertainty and the Volatility Index

Yue Feng
article en

Abstract

This paper investigates how Economic Policy Uncertainty (EPU) and the Volatility Index (VIX) in financial markets relate in both the long and short term. After examining the stability, causality, and long-term equilibrium between these two variables, a vector error correction model is constructed to quantify their dynamics. Impulse-response functions indicate that a positive shock to VIX initially has a muted impact on EPU, but the effect strengthens over time and eventually stabilizes, and variance-decomposition analysis suggests that shocks of VIX attributes to the forecast-error variance in EPU to some extent after several periods. As for robustness check, VIX is supplanted by Geopolitical Risk (GPR), and the results corroborate previous findings: the cointegrating relationship persists, and the VECM again produces significant error-correction coefficients. The findings contributes to understand how economic policy uncertainty influences market dynamics, and also provides practical insights for policymakers and investors to better handle risks linked to policy uncertainty.

Advances in Economics Management and Political SciencesVol. 216(1)
Zhejiang University (CN)
Openalex Percentile: Top 65%
Market Dynamics and Volatility
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