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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 electronic resource (158 p.)
Soggetto topico: Technology: general issues
Soggetto non controllato: cryptocurrencies
connectedness
spill overs
spectral analysis
time-frequency-dynamic
Bitcoin
cryptocurrency
spillover risks
Copulas
Student’s-t
survey
bitcoin
efficient market hypothesis
ARIMA
artificial neural network
static forecast
contagion effect
detrended cross-correlation analysis
liquidity
Ethereum
market liquidity
Hurst exponent
high frequency
fraud
algorithms
correlations
impact
risks
regulation
blockchain
autoregression
time-series analysis
simulation
predictive modes
endogenous
exogenous variables
Blockchain
Cryptocurrencies
Digital Currencies
Risk management
Financial 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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