Global Synchronization Effect of Economic Policy Uncertainty

ABSTRACT We identify the systematic risks in global economic policy by measuring the synchronization effect of economic policy uncertainty (EPU) worldwide. It conveys new information, while the existing global economic policy uncertainty (GEPU) cannot. Firstly, we use the random matrix theory (RMT) to construct a new synchronization index and identify the synchronization effect of EPU among 21 major countries. The advantage of this non‐parametric method is its low requirements for the sample size of the large‐dimensional data, whereas vector auto‐regression (VAR)‐based parameter models may fail. Then, the empirical results indicate that strong synchronization exists globally, and this effect is robust across multiple time scales, from quarterly and semi‐annual to annual scales. Further, the trend extracted from the HP filter verifies the existence of synchronization in the long term. We also discover the time‐varying synchronization effect by using moving windows, where the synchronization effect is notably intensified by exogenous shocks, such as during the 2008 financial crisis and the COVID‐19 pandemic.

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Publication Details

Journal
Review of International Economics
Published
2025-05-24
DOI
https://doi.org/10.1111/roie.12811
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00

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article

Global Synchronization Effect of Economic Policy Uncertainty

Xiaojun Zhao, Na Zhang, Chao Xu, Qingyu Meng
Review of International Economics
Market Dynamics and Volatility
article

Global Synchronization Effect of Economic Policy Uncertainty

Xiaojun Zhao, Na Zhang, Chao Xu, Qingyu Meng
article en

Abstract

ABSTRACT We identify the systematic risks in global economic policy by measuring the synchronization effect of economic policy uncertainty (EPU) worldwide. It conveys new information, while the existing global economic policy uncertainty (GEPU) cannot. Firstly, we use the random matrix theory (RMT) to construct a new synchronization index and identify the synchronization effect of EPU among 21 major countries. The advantage of this non‐parametric method is its low requirements for the sample size of the large‐dimensional data, whereas vector auto‐regression (VAR)‐based parameter models may fail. Then, the empirical results indicate that strong synchronization exists globally, and this effect is robust across multiple time scales, from quarterly and semi‐annual to annual scales. Further, the trend extracted from the HP filter verifies the existence of synchronization in the long term. We also discover the time‐varying synchronization effect by using moving windows, where the synchronization effect is notably intensified by exogenous shocks, such as during the 2008 financial crisis and the COVID‐19 pandemic.

Review of International EconomicsVol. 33(4)
Shandong University of Technology (CN), Beijing Jiaotong University (CN)
National Natural Science Foundation of China, Beijing Jiaotong University
Partnerships for the goals
Openalex Percentile: Top 84%
Market Dynamics and Volatility
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