Multifractal Analysis of GameFi

This paper provides the first evidence for understanding the information flow and the microstructure of GameFi market by investigating the multifractal characteristics of return and trading volume from 61 GameFi coins. The empirical results mainly show that: (1) There is a significant cross-correlation between return and trading volume in the GameFi market. Both exhibit multifractal behavior across different time scales. (2) The GameFi market is highly unstable and volatile in the short term, but relatively stable in the long term. (3) The multifractal characteristics of the GameFi market evolve dynamically, with noticeable cyclical fluctuations occurring within a one-year period.

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Publication Details

Journal
Fluctuation and Noise Letters
Published
2024-10-11
DOI
https://doi.org/10.1142/s0219477525500166
Citations
1
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
1.13

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article

Multifractal Analysis of GameFi

Dehua Shen, Qingyuan Shi
1 citations
Fluctuation and Noise Letters
Complex Systems and Time Series Analysis
1.13
article

Multifractal Analysis of GameFi

Dehua Shen, Qingyuan Shi
article en
1 citations

Abstract

This paper provides the first evidence for understanding the information flow and the microstructure of GameFi market by investigating the multifractal characteristics of return and trading volume from 61 GameFi coins. The empirical results mainly show that: (1) There is a significant cross-correlation between return and trading volume in the GameFi market. Both exhibit multifractal behavior across different time scales. (2) The GameFi market is highly unstable and volatile in the short term, but relatively stable in the long term. (3) The multifractal characteristics of the GameFi market evolve dynamically, with noticeable cyclical fluctuations occurring within a one-year period.

Fluctuation and Noise LettersVol. 24(02)
Tianjin University (CN), Nankai University (CN), Tianjin Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
Complex Systems and Time Series Analysis
1.13
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