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Cryptocurrency Market Analysis: Insights from Metcalfe’s Law and Log-Periodic Power Laws

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24 lip 2025

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Bouri, E., Azzi, G., & Dyhrberg, A.H. (2017). On the return-volatility relationship in the Bitcoin market around the price crash of 2013. Economics: The Open-Access, Open-Assessment E-Journal, 11 (2017-2): 1–16.Search in Google Scholar

Bouri, E., Gupta, R., & Roubaud, D. (2018). Herding behaviour in cryptocurrencies. Finance Research Letters.Search in Google Scholar

Blanchard, O. (1979). Speculative bubbles, crashes and rational expectations. Economic Letters, 3(4), 387–389.Search in Google Scholar

Cheah, E.-T., & Fry, J. (2015). Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin. Economics Letters, 130, 32–36.Search in Google Scholar

Chen, C.Y.H., Härdle, W.K., Hou, A.J., & Wang, W. (2018). Pricing cryptocurrency options: the case of CRIX and Bitcoin.Search in Google Scholar

Chen, S., Chen, C.Y.H., Härdle, W.K., Lee, T.M., & Ong, B. (2017). A first econometric analysis of the CRIX family. In D. Lee, K. Chuen, and Robert Deng (eds.), Handbook of blockchain, digital finance and inclusion, vol 1, Cryptocurrency, FinTech, InsurTech, and regulation. Academic Press, Elsevier.Search in Google Scholar

Filimonov, V., Demos, G. & Sornette, D. (2016). Modified Profile Likelihood Inference and Interval Forecast of the Burst of Financial Bubbles. Quantitative Finance 17(8), 1167–1186.Search in Google Scholar

Fantazzini, D., Nigmatullin, E., Sukhanovskaya, V., & Ivliev, S. (2016). Everything you always wanted to know about Bitcoin modelling but were afraid to ask. Draft in English, Moscow School of Economics, published in Russian in Applied Econometrics, 44, 5–24 as part I and Applied Econometrics, 45, 5–28 as part 2.Search in Google Scholar

Fry, J., & Cheah, E.-T. (2016). Negative bubbles and shocks in cryptocurrency markets. International Review of Financial Analysis, 47, 343–352.Search in Google Scholar

Goldenfeld, N. (1992). Lectures on phase transitions and the renormalization group frontiers in physics. Addison-Wesley, Boston.Search in Google Scholar

Hu, A, Parlour, C.A. & Rajan, U. (2018). Cryptocurrencies: Stylized facts on a new investible instrument. Working Paper. Available online at:Search in Google Scholar

Johansen, A., Ledoit, O., & Sornette, D. (2000). Crashes as critical points, International Journal of Theoretical and Applied Finance, 3, 219-255.Search in Google Scholar

MacDonell, A. (2014). Popping the Bitcoin bubble: An application of log-periodic power law modelling to digital currency. University of Notre Dame working paper.Search in Google Scholar

Madureira, A., Den Hartog, F., Bouwman, H. & Baken, N. (2013). Empirical validation of Metcalfe’s law: how internet usage patterns have changed over time. Information Economics and Policy, 25(4), 246–256.Search in Google Scholar

Malhotra, A., & Maloo, M. (2014). Bitcoin–is it a bubble? Evidence from unit root tests.Search in Google Scholar

Metcalfe, B. (2013). Metcalfe’s law after 40 years of ethernet. Computer, 46(12), 26–31.Search in Google Scholar

Shu, M., & Zhu, W. (2020). Detection of Chinese stock market bubbles with LPPLS confidence indicator. Physica A: Statistical Mechanics and its Applications, 557, 124892. Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system.Search in Google Scholar

Pele, D.T. (2012). An LPPL algorithm for estimating the critical time of a stock market bubble. Journal of Social and Economic Statistics, 21: 14–22. Available online at:Search in Google Scholar

Pele, D.T., Mazurencu-Marinescu-Pele, M. (2019). Metcalfe’s law and log-period power laws in the cryptocurrencies market, Economics, vol. 13, no. 1, 2019, pp. 20190029.Search in Google Scholar

Peterson, T. (2018). Metcalfe’s law as a model for Bitcoin’s value. Alternative Investment Analyst Review, 7(2), 9–18.Search in Google Scholar

Shen, D., Urquhart, A., & Wang, P. (2019). Does twitter predict Bitcoin? Economics Letters, 174, 118–122.Search in Google Scholar

Sornette, D., & Cauwels, P. (2014). Financial bubbles: mechanisms and diagnostics. Review of Behavioral Economics, 2(3).Search in Google Scholar

Sung, S., Kim, J., Park, B. & Kim, S. (2022). A Study on Cryptocurrency Log-Return Price Prediction Using Multivariate Time-Series Model. Axioms, 11(9).Search in Google Scholar

Toda, H.Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1–2), 225–250.Search in Google Scholar

Trimborn, S., & Härdle, W.K. (2018). CRIX an index for cryptocurrencies. Journal of Empirical Finance, 49, 107–122.Search in Google Scholar

Urquhart, A. (2016). The inefficiency of Bitcoin. Economics Letters, 148, 80–82.Search in Google Scholar

Van Hove, L. (2014). Metcalfe’s law: not so wrong after all. NETNOMICS: Economic Research and Electronic Networking, 15(1), 1–8.Search in Google Scholar

Van Hove, L. (2016). Metcalfe’s law and network quality: an extension of Zhang et al. Journal of Computer Science and Technology, 31(1), 117–123.Search in Google Scholar

Van Vliet, B. (2018). An alternative model of Metcalfe’s Law for valuing Bitcoin. Economics Letters, 165, 70–72.Search in Google Scholar

Vidal-Tomás, D., Ibáñez, A.M., & Farinós, J.E. (2018). Herding in the cryptocurrency market: CSSD and CSAD approaches. Finance Research Letters (forthcoming).Search in Google Scholar

Wheatley, S., Sornette, D., Huber, T., Reppen, M., & Gantner, R.N. (2018). Are Bitcoin bubbles predictable? Combining a generalized Metcalfe’s law and the LPPLS model. Swiss Finance Institute Research. Paper No. 18-22.Search in Google Scholar

Zhang, J., Wang, H., Chen, J. & Liu, A. Cryptocurrency price bubble detection using log-periodic power law model and wavelet analysis. IEEE Transactions on Engineering Management, (71).Search in Google Scholar

Zhang, W., Wang P., Li, X., & Shen, D. (2018). Some stylized facts of the cryptocurrency market. Applied Economics, 50(55), 5950–5965.Search in Google Scholar

Zhang, X.Z., Liu, J.J., & Xu, Z.W. (2015). Tencent and Facebook data validate Metcalfe’s law. Journal of Computer Science and Technology, 30(2), 246–251.Search in Google Scholar

Zhu, Y., Dickinson, D., & Li, J. (2017). Analysis on the influence factors of Bitcoin’s price based on the VEC model. Financial Innovation 3(3).Search in Google Scholar

Andria, M. (2019). An economic assessment of risks in Bitcoin as an alternate asset class. Studies in Applied Finance SAF(27).Search in Google Scholar

Patrick, W. & Wolfgang, K.H. (2023). Metcalfe’s Law and Cryptocurrencies. Quantinar.Search in Google Scholar

European Banking Authority. (2022, March 16). EU financial regulators warn consumers on the risks of crypto-assets.Search in Google Scholar

European Securities and Markets Authority. (2022, March 17). EU financial regulators warn consumers on the risks of crypto-assets.Search in Google Scholar

European Supervisory Authorities. (2016, November 17). Guidelines on the characteristics of a risk-based approach to anti-money laundering and counter-terrorist financing supervision.Search in Google Scholar