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All the millions of trillions of calculations it takes to keep the system running aren't really doing any useful work. Right now we're using a whole lot of energy to produce those calculations, but also the majority of that is sourced from fossil energy. He says it also limits the number of transactions the system can process to about five per second. The two essential features of a successful currency are that it is an effective form of exchange and a stable store of value, says Ken Rogoff, a professor of economics at Harvard University in Cambridge, Massachusetts, and a former chief economist at the International Monetary Fund IMF.

Yes, one rich person sells it to another, but that's not a final use. And without that it really doesn't have a long-term future. Follow Justin on Twitter. How do crypto-currencies work? Bitcoin: From buying a Bentley to losing it all. Elon Musk is the latest. And the electricity the Bitcoin miners use overwhelmingly comes from polluting sources. It relies on a vast decentralised network of computers. In fact, the Bitcoins are the reward miners get for maintaining this record accurately. They also have to guess a random number.

As soon as one lottery is over, a new number is generated, and the whole process starts again. The higher the price, says Prof Pieters, the more miners want to get into the game. Silverstein S. Browne R. Gertchev N. The money-ness of bitcoins. Mises Daily. Harwick C. Cryptocurrency and the problem of intermediation. Independent Rev. Bergstra JA, Weijland P. Yermack D. Is bitcoin a real currency? In Handbook of digital currency ed. DLK Chuen , pp. Amsterdam, The Netherlands: Elsevier.

Beyond the Bitcoin Bubble

Jenssen TB. Why bitcoins have value, and why governments are sceptical. Van Alstyne M. Why bitcoin has value. ACM 57 , 30— Bouoiyour J, Selmi R. What does bitcoin look like? Finance 16 , — Price fluctuations and the use of bitcoin: an empirical inquiry. Zhang Y. Economics of competing crypto currencies: monetary policy, miner reward and historical evolution. Kristoufek L. What are the main drivers of the bitcoin price? Evidence from wavelet coherence analysis.

Everything you always wanted to know about bitcoin modelling but were afraid to ask.

MASSIVE MESSAGE TO ALL BITCOIN HOLDERS - the Bitcoin Bubble Explained- Michael Saylor Interview 2021

Part 2. Bitcoin meets Google Trends and Wikipedia: quantifying the relationship between phenomena of the internet era. The digital traces of bubbles: feedback cycles between socio-economic signals in the bitcoin economy. Interface 11 , Should banks be banned from creating money? An analysis from the perspective of hierarchical money.

Issues 51 , — Hayes AS. Cryptocurrency value formation: an empirical study leading to a cost of production model for valuing bitcoin. Telematics Inform. Alabi K. Metcalfe B. Computer 46 , 26— Cauwels P, Sornette D. Quis pendit ipsa pretia: facebook valuation and diagnostic of a bubble based on nonlinear demographic dynamics.

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When games meet reality: is Zynga overvalued? Investment Strateg. Fama EF. Efficient capital markets: a review of theory and empirical work. Finance 25 , — Malkiel BG. A random walk down Wall Street: including a life-cycle guide to personal investing.

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Sornette D, Cauwels P. Financial bubbles: mechanisms and diagnostics. Sornette D. Why stock markets crash. Predicting financial crashes using discrete scale invariance. Risk 1 , 5— Discrete-scale invariance and complex dimensions. Ide K, Sornette D. Oscillatory finite-time singularities in finance, population and rupture. Physica A , 63— Crashes as critical points. Finance 3 , — Garcia D, Schweitzer F.

Social signals and algorithmic trading of bitcoin.


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MacDonell A. Popping the bitcoin bubble: an application of log-periodic power law modeling to digital currency. Working paper.


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  • Cheah E-T, Fry J. Speculative bubbles in bitcoin markets? An empirical investigation into the fundamental value of bitcoin. Forecasting crypto crashes with bubble analysis. Malhotra A, Maloo M. Bitcoin—is it a bubble? Crypto-currency bubbles: an application of the Phillips—Shi—Yu methodology on Mt. Gox bitcoin prices. Schatz M, Sornette D. Inefficient bubbles and efficient drawdowns in financial markets. Clarifications to questions and criticisms on the Johansen-Ledoit-Sornette financial bubble model.

    Physica A , — Filimonov V, Sornette D. A stable and robust calibration scheme of the log-periodic power law model. Greene WH. Econometric analysis international edition.

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    B 61 , — ARS Math. Johansen A, Sornette D. Evidence of discrete scale invariance by canonical averaging. C 9 , — Zhou W-X, Sornette D. Non-parametric analyses of log-periodic precursors to financial crashes.


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      Cardano EOS. Category Commons List. Categories : Economic bubbles Cryptocurrencies Financial markets. Hidden categories: CS1 French-language sources fr Wikipedia semi-protected pages Articles with short description Short description matches Wikidata. Namespaces Article Talk.

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