Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal Analysis

We investigate the dynamic correlation between the Bitcoin price (BTC) and the U.S. economic policy uncertainty index (USEPU) from the perspective of multifractality. Utilizing the multifractal detrended cross-correlation analysis (MF-DCCA), we confirm a long-range cross-correlation between BTC and...

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Main Authors: Junjun Ma, Tingting Wang, Ruwei Zhao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2022/1072836
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author Junjun Ma
Tingting Wang
Ruwei Zhao
author_facet Junjun Ma
Tingting Wang
Ruwei Zhao
author_sort Junjun Ma
collection DOAJ
description We investigate the dynamic correlation between the Bitcoin price (BTC) and the U.S. economic policy uncertainty index (USEPU) from the perspective of multifractality. Utilizing the multifractal detrended cross-correlation analysis (MF-DCCA), we confirm a long-range cross-correlation between BTC and USEPU. Moreover, the empirical results of MF-DCCA show that the power-law properties and multifractal characteristics between BTC and USEPU are significant. We further examine the long-range dependency of cross-correlation between BTC and USEPU series via the Hurst exponent test and confirm the durable cross-correlation. Finally, we introduce another multifractal indicator and examine the extent of multifractality among time series. The empirical results indicate that the BTC series, USEPU series, and the cross-correlation of BTC-USEPU present apparent multifractality, where BTC shows the strongest degree of multifractality.
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spelling doaj-art-60a5e8e8f00a4d9bad165f4f80fdeb4d2025-02-03T01:23:15ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/1072836Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal AnalysisJunjun Ma0Tingting Wang1Ruwei Zhao2School of Economics and ManagementTianjin Bohai Sea Monitoring and Management CenterSchool of BusinessWe investigate the dynamic correlation between the Bitcoin price (BTC) and the U.S. economic policy uncertainty index (USEPU) from the perspective of multifractality. Utilizing the multifractal detrended cross-correlation analysis (MF-DCCA), we confirm a long-range cross-correlation between BTC and USEPU. Moreover, the empirical results of MF-DCCA show that the power-law properties and multifractal characteristics between BTC and USEPU are significant. We further examine the long-range dependency of cross-correlation between BTC and USEPU series via the Hurst exponent test and confirm the durable cross-correlation. Finally, we introduce another multifractal indicator and examine the extent of multifractality among time series. The empirical results indicate that the BTC series, USEPU series, and the cross-correlation of BTC-USEPU present apparent multifractality, where BTC shows the strongest degree of multifractality.http://dx.doi.org/10.1155/2022/1072836
spellingShingle Junjun Ma
Tingting Wang
Ruwei Zhao
Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal Analysis
Discrete Dynamics in Nature and Society
title Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal Analysis
title_full Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal Analysis
title_fullStr Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal Analysis
title_full_unstemmed Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal Analysis
title_short Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal Analysis
title_sort quantifying cross correlations between economic policy uncertainty and bitcoin market evidence from multifractal analysis
url http://dx.doi.org/10.1155/2022/1072836
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AT tingtingwang quantifyingcrosscorrelationsbetweeneconomicpolicyuncertaintyandbitcoinmarketevidencefrommultifractalanalysis
AT ruweizhao quantifyingcrosscorrelationsbetweeneconomicpolicyuncertaintyandbitcoinmarketevidencefrommultifractalanalysis