Cargando…
High frequency multiscale relationships among major cryptocurrencies: portfolio management implications
This paper examines the high frequency multiscale relationships and nonlinear multiscale causality between Bitcoin, Ethereum, Monero, Dash, Ripple, and Litecoin. We apply nonlinear Granger causality and rolling window wavelet correlation (RWCC) to 15 min—data. Empirical RWCC results indicate mostly...
Autores principales: | Mensi, Walid, Rehman, Mobeen Ur, Shafiullah, Muhammad, Al-Yahyaee, Khamis Hamed, Sensoy, Ahmet |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436025/ https://www.ncbi.nlm.nih.gov/pubmed/35024291 http://dx.doi.org/10.1186/s40854-021-00290-w |
Ejemplares similares
-
Dynamic spillovers and portfolio implication between green cryptocurrencies and fossil fuels
por: Umar, Zaghum, et al.
Publicado: (2023) -
Shannon Entropy: An Econophysical Approach to Cryptocurrency Portfolios
por: Rodriguez-Rodriguez, Noé, et al.
Publicado: (2022) -
Do cryptocurrencies provide better hedging? Evidence from major equity markets during COVID-19 pandemic
por: Maitra, Debasish, et al.
Publicado: (2022) -
Portfolio optimization in the era of digital financialization using cryptocurrencies
por: Ma, Yechi, et al.
Publicado: (2020) -
Network Models to Enhance Automated Cryptocurrency Portfolio Management
por: Giudici, Paolo, et al.
Publicado: (2020)