Artikel
Metcalfe's law and log-period power laws in the cryptocurrencies market
In this paper the authors investigate the statistical properties of some cryptocurrencies by using three layers of analysis: alpha-stable distributions, Metcalfe's law and the bubble behaviour through the LPPL modelling. The results show, in the medium to long-run, the validity of Metcalfe's law (the value of a network is proportional to the square of the number of connected users of the system) for the evaluation of cryptocurrencies; however, in the short-run, the validity of Metcalfe's law for Bitcoin is questionable. According to the bidirectional causality between the price and the network size, the expected price increase is a driver for more investors to join the Bitcoin network, which may lead in the end to a super-exponential price growth, possibly due to a herding behaviour of investors. The authors then used LPPL models to capture the behaviour of cryptocurrencies exchange rates during an endogenous bubble and to predict the most probable time of the regime switching. The main conclusion of this paper is that Metcalfe's law may be valid in the long-run, however in the short-run, on various data regimes, its validity is highly debatable.
- Language
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Englisch
- Bibliographic citation
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Journal: Economics: The Open-Access, Open-Assessment E-Journal ; ISSN: 1864-6042 ; Volume: 13 ; Year: 2019 ; Issue: 2019-29 ; Pages: 1-26 ; Kiel: Kiel Institute for the World Economy (IfW)
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Construction and Estimation
Forecasting Models; Simulation Methods
Financial Econometrics
Demand for Money
Monetary Systems; Standards; Regimes; Government and the Monetary System; Payment Systems
Money and Interest Rates: Forecasting and Simulation: Models and Applications
Money Supply; Credit; Money Multipliers
Financial Forecasting and Simulation
- Subject
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cryptocurrency
Bitcoin
CRIX
log-periodic power law
Metcalfe's law
stable distribution
herding
- Event
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Geistige Schöpfung
- (who)
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Pele, Daniel Traian
Mazurencu-Marinescu-Pele, Miruna
- Event
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Veröffentlichung
- (who)
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Kiel Institute for the World Economy (IfW)
- (where)
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Kiel
- (when)
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2019
- DOI
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doi:10.5018/economics-ejournal.ja.2019-29
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Pele, Daniel Traian
- Mazurencu-Marinescu-Pele, Miruna
- Kiel Institute for the World Economy (IfW)
Time of origin
- 2019