Time-frequency extreme risk spillover network of cryptocurrency coins, DeFi tokens and NFTs

被引:42
作者
Qiao, Xingzhi [1 ]
Zhu, Huiming [1 ]
Tang, Yiding [2 ]
Peng, Cheng [3 ]
机构
[1] Hunan Univ, Coll Business Adm, Changsha 410082, Peoples R China
[2] Hunan Univ, Sch Econ & Trade, Changsha 410006, Peoples R China
[3] Guangdong Univ Finance, Sch Financial Math & Stat, Guangzhou 510521, Peoples R China
基金
中国国家自然科学基金;
关键词
Cryptocurrency; DeFi tokens; NFTs; Wavelet; Quantile causality network; GUIDE;
D O I
10.1016/j.frl.2022.103489
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study examines the time-frequency extreme risk spillover network among cryptocurrency coins, decentralized finance and non-fungible tokens via wavelet-based quantile causality anal-ysis. We derive the following empirical results. First, long-lived coins dominate cryptocurrencies' upside and downside risk networks. Second, yield farming tokens exacerbate decentralized fi-nance's depreciation risk but hedge risk in the medium term. Metaverse-related non-fungible tokens are the center of NFTs' upside risk network but reverse in the long term. Third, traditional concepts affect the depreciation risk, and emerging concepts drive market prosperity in the long run. Overall, these can provide investors with diversified strategies and risk management suggestions.
引用
收藏
页数:9
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共 28 条
[1]   Non-fungible token (NFT) markets on the Ethereum blockchain: temporal development, cointegration and interrelations [J].
Ante, Lennart .
ECONOMICS OF INNOVATION AND NEW TECHNOLOGY, 2023, 32 (08) :1216-1234
[2]   NFTs and Cryptocurrencies-The Metamorphosis of the Economy under the Sign of Blockchain: A Time Series Approach [J].
Apostu, Simona Andreea ;
Panait, Mirela ;
Vasa, Laszlo ;
Mihaescu, Constanta ;
Dobrowolski, Zbyslaw .
MATHEMATICS, 2022, 10 (17)
[3]   Modeling nonlinear Granger causality between the oil price and U.S. dollar: A wavelet based approach [J].
Benhmad, Francois .
ECONOMIC MODELLING, 2012, 29 (04) :1505-1514
[4]   Roles of stable versus nonstable cryptocurrencies in Bitcoin market dynamics [J].
Brik, Hatem ;
El Ouakdi, Jihene ;
Ftiti, Zied .
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2022, 62
[5]   A Nonparametric Test for Granger Causality in Distribution With Application to Financial Contagion [J].
Candelon, Bertrand ;
Tokpavi, Sessi .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2016, 34 (02) :240-253
[6]   What drives DeFi prices? Investigating the effects of investor attention [J].
Corbet, Shaen ;
Goodell, John W. ;
Gunay, Samet .
FINANCE RESEARCH LETTERS, 2022, 48
[7]   A guide to wavelets for economists [J].
Crowley, Patrick M. .
JOURNAL OF ECONOMIC SURVEYS, 2007, 21 (02) :207-267
[8]   Going green: Insight from asymmetric risk spillover between investor attention and pro-environmental investment [J].
Deng, Chao ;
Zhou, Xiaoying ;
Peng, Cheng ;
Zhu, Huiming .
FINANCE RESEARCH LETTERS, 2022, 47
[9]   Is non-fungible token pricing driven by cryptocurrencies? [J].
Dowling, Michael .
FINANCE RESEARCH LETTERS, 2022, 44
[10]   Do we still need financial intermediation? The case of decentralized finance - DeFi [J].
Grassi, Laura ;
Lanfranchi, Davide ;
Faes, Alessandro ;
Renga, Filippo Maria .
QUALITATIVE RESEARCH IN ACCOUNTING AND MANAGEMENT, 2022, 19 (03) :323-347