Bitcoin Cycle through Markov Regime-Switching Model †
Abstract
:1. Introduction
2. Statistical Methodology and Data Description
2.1. MS Model
2.2. Data Description
3. Results and Discussion
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Cross, J.L.; Hou, C.; Trinh, K. Returns, volatility and the cryptocurrency bubble of 2017–18. Econ. Model. 2021, 104, 105643. [Google Scholar] [CrossRef]
- Dong, F.; Xu, Z.; Zhang, Y. Bubbly Bitcoin. Econ. Theory 2021, 74, 973–1015. [Google Scholar] [CrossRef]
- Choi, S.; Shin, J. Bitcoin: An inflation hedge but not a safe haven. Financ. Res. Lett. 2022, 46, 102379. [Google Scholar] [CrossRef] [PubMed]
- Zhu, Y.; Dickinson, D.; Li, J. Analysis on the influence factors of Bitcoin’s price based on VEC model. Financ. Innov. 2017, 3, 3. [Google Scholar] [CrossRef]
- Blau, B.M.; Griffith, T.G.; Whitby, R.J. Inflation and Bitcoin: A descriptive time-series analysis. Econ. Lett. 2021, 203, 109848. [Google Scholar] [CrossRef]
- Hsu, P.-P.; Chen, Y.-H.C.; Wang, C.-H. Currency or commodity competition? Bitcoin price trends in the post-pandemic era. Int. J. Appl. Econ. Financ. Account. 2023, 15, 61–70. [Google Scholar] [CrossRef]
- Chen, C.; Liu, L.; Zhao, N. Fear Sentiment, Uncertainty, and Bitcoin Price Dynamics: The Case of COVID-19. Emerg. Mark. Financ. Trade 2020, 56, 2298–2309. [Google Scholar] [CrossRef]
- Burns, A.F.; Mitchell, W.C. Measuring Business Cycles; Columbia University Press (for NBER): New York, NY, USA, 1946. [Google Scholar]
- Wang, J.; Ma, F.; Bouri, E.; Guo, Y. Which factors drive Bitcoin volatility: Macroeconomic, technical, or both? J. Forecast. 2022, 42, 970–988. [Google Scholar] [CrossRef]
- Hamilton, J.D. A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica 1989, 57, 357–384. [Google Scholar] [CrossRef]
- Mérida, A.; Golpe, A.A. Tourism-Led Growth Revisited for Spain: Causality, Business Cycles and Structural Breaks. Int. J. Tour. Res. 2014, 18, 39–51. [Google Scholar] [CrossRef]
- Hsu, P.-P. Examination of Taiwan’s travel and tourism market cycle through a two-period Markov regime-switching model. Tour. Manag. 2017, 63, 201–208. [Google Scholar] [CrossRef]
Model I | Model II | Model III | Model IV | ||||
---|---|---|---|---|---|---|---|
0.007 | 0.007 | 0.007 | 0.007 | ||||
0.053 | 0.053 | 0.053 | 0.053 | ||||
0.010 | −0.061 | −0.654 | −0.063 | ||||
0.091 | 0.010 | 0.010 | −0.753 | ||||
0.975 | 0.101 | 0.091 | 0.010 | ||||
0.119 | 0.975 | 0.979 | 0.102 | ||||
0.025 | 0.128 | 0.103 | 0.982 | ||||
0.881 | 0.025 | 0.021 | 0.098 | ||||
0.872 | 0.897 | 0.018 | |||||
0.902 | |||||||
Duration | |||||||
40.357 | 39.508 | 47.970 | 54.595 | ||||
8.409 | 7.843 | 9.701 | 10.212 |
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Shih, Y.-C.; Huang, W.-T.; Hsu, P.-P. Bitcoin Cycle through Markov Regime-Switching Model. Eng. Proc. 2024, 74, 12. https://doi.org/10.3390/engproc2024074012
Shih Y-C, Huang W-T, Hsu P-P. Bitcoin Cycle through Markov Regime-Switching Model. Engineering Proceedings. 2024; 74(1):12. https://doi.org/10.3390/engproc2024074012
Chicago/Turabian StyleShih, Yi-Chun, Wen-Tsung Huang, and Pao-Peng Hsu. 2024. "Bitcoin Cycle through Markov Regime-Switching Model" Engineering Proceedings 74, no. 1: 12. https://doi.org/10.3390/engproc2024074012