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Blockchain and Cryptocurrencies



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Autore: Nadarajah Saralees Visualizza persona
Titolo: Blockchain and Cryptocurrencies Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 online resource (158 p.)
Soggetto topico: Technology: general issues
Soggetto non controllato: algorithms
ARIMA
artificial neural network
autoregression
bitcoin
Bitcoin
blockchain
Blockchain
connectedness
contagion effect
Copulas
correlations
cryptocurrencies
Cryptocurrencies
cryptocurrency
detrended cross-correlation analysis
Digital Currencies
efficient market hypothesis
endogenous
Ethereum
exogenous variables
Financial analysis
fraud
high frequency
Hurst exponent
impact
liquidity
market liquidity
predictive modes
regulation
Risk management
risks
simulation
spectral analysis
spill overs
spillover risks
static forecast
Student's-t
survey
time-frequency-dynamic
time-series analysis
Persona (resp. second.): ChanStephen
ChuJeffrey
ZhangYuanyuan
NadarajahSaralees
Sommario/riassunto: Blockchain and cryptocurrencies have recently captured the interest of academics and those in industry. Cryptocurrencies are essentially digital currencies that use blockchain technology and cryptography to facilitate secure and anonymous transactions. The cryptocurrency market is currently worth over $500 billion. Many institutions and countries are starting to understand and implement the idea of cryptocurrencies in their business models. This Special Issue will provide a collection of papers from leading experts in the area of blockchain and cryptocurrencies. The topics covered in this Special Issue will include but are not limited to the following: academic research on blockchain and cryptocurrencies; industrial applications of blockchain and cryptocurrencies; applications of fintech in academia and industry; the economics of blockchain technology, and the financial analysis and risk management with cryptocurrencies.
Titolo autorizzato: Blockchain and Cryptocurrencies  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557506503321
Lo trovi qui: Univ. Federico II
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