Boost and Burst: Bubbles in the Bitcoin Market

This study investigates bubbles and crashes in the cryptocurrency market. In particular, using the log-periodic power law, we estimate the critical time of bubbles in the Bitcoin market. The results indicate that Bitcoin bubbles clearly exist, and our forecast of critical times can be verified with high accuracy. We further claim that bubbles could originate from the mining process, investor sentiment, global economic trend, and even regulation. For policy makers, the findings suggest the necessity of monitoring the signatures of bubbles and their progress in the market place.

[1]  A. Cheung,et al.  Crypto-currency bubbles: an application of the Phillips–Shi–Yu (2013) methodology on Mt. Gox bitcoin prices , 2015 .

[2]  Olivier Ledoit,et al.  CRASHES AS CRITICAL POINTS , 1998, cond-mat/9810071.

[3]  Didier Sornette,et al.  Dissection of Bitcoin's Multiscale Bubble History , 2018 .

[4]  Didier Sornette,et al.  Shocks, Crashes and Bubbles in Financial Markets , 2010 .

[5]  Julian Lorenz,et al.  A Statistical Risk Assessment of Bitcoin and Its Extreme Tail Behaviour , 2016 .

[6]  D. Sornette,et al.  Are Bitcoin bubbles predictable? Combining a generalized Metcalfe’s Law and the Log-Periodic Power Law Singularity model , 2019, Royal Society Open Science.

[7]  Angelika I. Kokkinaki,et al.  Bitcoin Is Volatile! Isn't that Right? , 2014, BIS.

[8]  Timothy C. Johnson.  Optimal learning and new technology bubbles , 2007 .

[9]  Dean Fantazzini.  Modelling Bubbles and Anti-Bubbles in Bear Markets: A Medium-Term Trading Analysis , 2010 .

[10]  P. Ciaian,et al.  Virtual Relationships: Short- and Long-run Evidence from BitCoin and Altcoin Markets , 2017, 1706.07216.

[11]  Didier Sornette,et al.  Quantification of the High Level of Endogeneity and of Structural Regime Shifts in Commodity Markets , 2013 .

[12]  Anders Johansen.  Characterization of large price variations in financial markets , 2003 .

[13]  D. Sornette,et al.  Significance of log-periodic precursors to financial crashes , 2001, cond-mat/0106520.

[14]  Didier Sornette,et al.  A case study of speculative financial bubbles in the South African stock market 2003-2006 , 2007, physics/0701171.

[15]  Fan Zhang,et al.  Forecasting Financial Crashes: Revisit to Log-Periodic Power Law , 2018, Complex..

[16]  I. Moosa.  The bitcoin: a sparkling bubble or price discovery? , 2020, Journal of Industrial and Business Economics.

[17]  David S. Brée,et al.  Testing for financial crashes using the Log Periodic Power Law model , 2010 .

[18]  Ladislav Kristoufek,et al.  BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era , 2013, Scientific Reports.

[19]  Kwangwon Ahn,et al.  Real Estate Soars and Financial Crises: Recent Stories , 2018, Sustainability.

[20]  Yena Song,et al.  Can government stabilize the housing market? The evidence from South Korea , 2020 .

[21]  R. Shiller.  Market Volatility and Investor Behavior , 1990 .

[22]  N. Wagner,et al.  Cryptocurrencies as financial bubbles: The case of Bitcoin , 2019 .

[23]  Didier Sornette,et al.  Dissection of Bitcoin’s multiscale bubble history from January 2012 to February 2018 , 2018, Royal Society Open Science.

[24]  R. Gorvett.  Why Stock Markets Crash: Critical Events in Complex Financial Systems , 2005 .

[25]  S. Corbet,et al.  Datestamping the Bitcoin and Ethereum Bubbles , 2017, Finance Research Letters.

[26]  Roland Mestel,et al.  Price discovery of cryptocurrencies: Bitcoin and beyond , 2018 .

[27]  Robert J. Shiller,et al.  Cointegration and Tests of Present Value Models , 1987, Journal of Political Economy.

[28]  Didier Sornette,et al.  Evidence of a worldwide stock market log-periodic anti-bubble since mid-2000 , 2003 .

[29]  Hanwool Jang,et al.  Detection and Prediction of House Price Bubbles: Evidence from a New City , 2018, ICCS.

[30]  Neil Gandal,et al.  Can We Predict the Winner in a Market with Network Effects? Competition in Cryptocurrency Market , 2016, Games.

[31]  Didier Sornette,et al.  The volatility-confined LPPL model: A consistent model of ‘explosive’ financial bubbles with mean-reverting residuals , 2014 .

[32]  J. Murmann,et al.  Brent Goldfarb and David A. Kirsch: Bubbles and Crashes: The Boom and Bust of Technological Innovation , 2020 .

[33]  I. Duffy.  Famous First Bubbles: The Fundamentals of Early Manias , 2000, The Journal of Economic History.

[34]  D. Sornette,et al.  Financial Bubbles: Mechanisms and Diagnostics , 2014, 1404.2140.