Journal ArticleOpen Access
NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis
Authors
Author Affiliations
King Fahd University of Petroleum and Minerals, Sultan Zainal Abidin University, Shahjalal University of Science and Technology, Swansea University, ...
Published InInternational Review of Financial Analysis
Year2023
Citations88
Abstract
This paper examines the efficiency and asymmetric multifractal features of NFTs, DeFi, cryptocurrencies, and traditional assets using Asymmetric Multifractal Cross-Correlations Analysis covering the period from November 2017 to February 2022. Considering the full sample with a significant variation among asset classes, the study reveals DeFi-DigiByte is the most efficient while the cryptocurrency-Tether is the least efficient. However, S&P 500 showed high efficiency before COVID-19, and DeFi-Enjin Coin advanced as the most efficient asset during COVID-19. The volatility dynamics of NFTs, DeFi, and cryptocurrencies follow strong nonlinear cross-correlations, but evidence of weaker nonlinearity exists in traditional assets. Additionally, the sensitivity to smaller events in bull markets is high for NFTs and DeFi. The findings have significant implications for portfolio diversification when…
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