Evolution of Scaling Behaviors in Economic Policy Uncertainty Series

By means of the Unbiased De-trended Fluctuation Analysis, designed specially for estimation of scaling behaviors in short time series, we obtain the co-evolutions of scaling behaviors in economic policy uncertainty time series for the United States, the United Kingdom and the Mainland China. Technically, from the time series for each specific country, one extracts all the sub-series with a length of about one year and a successive time delay of about one month, the Hurst exponents for which form a scaling exponent series. The three scaling exponent series are then aligned together to display the co-evolution patterns. Seven events influencing strongly the economic policies each turn out to have their specific co-evolutionary patterns, giving successfully the characteristics of the crises’ influences and the responses from the policy-making institutions.

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Publication Details

Journal
Fluctuation and Noise Letters
Published
2025-02-07
DOI
https://doi.org/10.1142/s0219477525500312
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
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article

Evolution of Scaling Behaviors in Economic Policy Uncertainty Series

Huijie Yang, Qianshun Yuan, Huiyun Wan
Fluctuation and Noise Letters
Complex Systems and Time Series Analysis
article

Evolution of Scaling Behaviors in Economic Policy Uncertainty Series

Huijie Yang, Qianshun Yuan, Huiyun Wan
article en

Abstract

By means of the Unbiased De-trended Fluctuation Analysis, designed specially for estimation of scaling behaviors in short time series, we obtain the co-evolutions of scaling behaviors in economic policy uncertainty time series for the United States, the United Kingdom and the Mainland China. Technically, from the time series for each specific country, one extracts all the sub-series with a length of about one year and a successive time delay of about one month, the Hurst exponents for which form a scaling exponent series. The three scaling exponent series are then aligned together to display the co-evolution patterns. Seven events influencing strongly the economic policies each turn out to have their specific co-evolutionary patterns, giving successfully the characteristics of the crises’ influences and the responses from the policy-making institutions.

Fluctuation and Noise LettersVol. 24(03)
Shanghai University of Political Science and Law (CN), University of Shanghai for Science and Technology (CN)
Openalex Percentile: Top 97%
Complex Systems and Time Series Analysis
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