Unraveling Bitcoin price unpredictability: The role of hard forks

被引:0
作者
Joubert, Thomas H. A. [1 ]
机构
[1] Univ Paris Pantheon Assas, LEMMA, 4 rue Blaise Desgoffe, F-75006 Paris, France
关键词
Bitcoin; Cryptocurrency; Asset pricing; Hard fork; Bitcoin futures; CHANGE-POINT DETECTION; TIME-SERIES; VOLATILITY; RETURNS; HETEROSCEDASTICITY; CONNECTEDNESS; UNCERTAINTY; MOVEMENTS; MARKETS;
D O I
10.1016/j.irfa.2024.103662
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Despite the widespread interest in Bitcoin, a universally accepted model explaining its value remains elusive. This article address a cause to this problem. The best-performing model would not be stable over time due to the fact that Bitcoin can be duplicated. To investigate this hypothesis, I designed study periods based on statistical characteristics and duplication dates. Then, I estimated econometric models over these periods. Results reveal that duplications play a significant and systematic role in the changes in Bitcoin price formation. Furthermore, new variables in the literature are found to be relevant. I also show that the prices of Bitcoin's different versions are uncorrelated after a disjunction but become positively and strongly correlated after several months.
引用
收藏
页数:14
相关论文
共 54 条
  • [11] IS BITCOIN BUSINESS INCOME OR SPECULATIVE FOOLERY? NEW IDEAS THROUGH AN IMPROVED FREQUENCY DOMAIN ANALYSIS
    Bouoiyour, Jamal
    Selmi, Refk
    Tiwari, Aviral Kumar
    [J]. ANNALS OF FINANCIAL ECONOMICS, 2015, 10 (01)
  • [12] Bouoiyour J, 2015, ANN ECON FINANC, V16, P449
  • [13] SIMPLE TEST FOR HETEROSCEDASTICITY AND RANDOM COEFFICIENT VARIATION
    BREUSCH, TS
    PAGAN, AR
    [J]. ECONOMETRICA, 1979, 47 (05) : 1287 - 1294
  • [14] Machine learning and the cross-section of cryptocurrency returns
    Cakici, Nusret
    Shahzad, Syed Jawad Hussain
    Bedowska-Sojka, Barbara
    Zaremba, Adam
    [J]. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 94
  • [15] Analysis of Bitcoin Price Prediction Using Machine Learning
    Chen, Junwei
    [J]. JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2023, 16 (01)
  • [16] Change-point detection in panel data via double CUSUM statistic
    Cho, Haeran
    [J]. ELECTRONIC JOURNAL OF STATISTICS, 2016, 10 (02): : 2000 - 2038
  • [17] Multiple-change-point detection for high dimensional time series via sparsified binary segmentation
    Cho, Haeran
    Fryzlewicz, Piotr
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2015, 77 (02) : 475 - 507
  • [18] Chu J, 2017, J RISK FINANC MANAG, V10, DOI 10.3390/jrfm10040017
  • [19] The price of Bitcoin: GARCH evidence from high-frequency data
    Ciaian, Pavel
    Kancs, d'Artis
    Rajcaniova, Miroslava
    [J]. JOURNAL OF INVESTMENT STRATEGIES, 2020, 9 (04): : 1 - 18
  • [20] Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets
    Ciaian, Pavel
    Rajcaniova, Miroslava
    Kancs, d'Artis
    [J]. JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2018, 52 : 173 - 195