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  • Search: subject:"predictive modes"
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Year of publication
Subject
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Bitcoin 2 autoregression 2 blockchain 2 endogenous 2 exogenous variables 2 predictive modes 2 simulation 2 time-series analysis 2 Blockchain 1 Estimation theory 1 Forecasting model 1 Prognoseverfahren 1 Schätztheorie 1 Simulation 1 Time series analysis 1 VAR model 1 VAR-Modell 1 Virtual currency 1 Virtuelle Währung 1 Zeitreihenanalyse 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Huang, Eric 2 Ibrahim, Ahmed 2 Kashef, Rasha 2 Li, Menglu 2 Valencia, Esteban 2
Published in...
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Journal of Risk and Financial Management 1 Journal of risk and financial management : JRFM 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Bitcoin network mechanics: Forecasting the btc closing price using vector auto-regression models based on endogenous and exogenous feature variables
Ibrahim, Ahmed; Kashef, Rasha; Li, Menglu; Valencia, Esteban - In: Journal of Risk and Financial Management 13 (2020) 9, pp. 1-21
The Bitcoin (BTC) market presents itself as a new unique medium currency, and it is often hailed as the "currency of the future". Simulating the BTC market in the price discovery process presents a unique set of market mechanics. The supply of BTC is determined by the number of miners and...
Persistent link: https://www.econbiz.de/10012611446
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Cover Image
Bitcoin network mechanics : forecasting the btc closing price using vector auto-regression models based on endogenous and exogenous feature variables
Ibrahim, Ahmed; Kashef, Rasha; Li, Menglu; Valencia, Esteban - In: Journal of risk and financial management : JRFM 13 (2020) 9/189, pp. 1-21
The Bitcoin (BTC) market presents itself as a new unique medium currency, and it is often hailed as the "currency of the future". Simulating the BTC market in the price discovery process presents a unique set of market mechanics. The supply of BTC is determined by the number of miners and...
Persistent link: https://www.econbiz.de/10012386874
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