References
- Baek, C., and M. Elbeck. 2015. “Bitcoins as an Investment or Speculative Vehicle? A First Look.” Applied Economics Letters 22 (1): 30–34. doi:10.1080/13504851.2014.916379.
- Bouri, E., R. Gupta, and D. Roubaud. 2019. “Herding Behaviour in Cryptocurrencies.” Finance Research Letters 29: 216–221. doi:10.1016/j.frl.2018.07.008.
- Brauneis, A., and R. Mestel. 2019. “Cryptocurrency-portfolios in a Mean-variance Framework.” Finance Research Letters 28: 259–264. doi:10.1016/j.frl.2018.05.008.
- Cheah, E.-T., T. Mishra, M. Parhi, and Z. Zhang. 2018. “Long Memory Interdependency and Inefficiency in Bitcoin Markets.” Economics Letters 167: 18–25. doi:10.1016/j.econlet.2018.02.010.
- Corbet, S., B. Lucey, and L. Yarovaya. 2018a. “Datestamping the Bitcoin and Ethereum Bubbles.” Finance Research Letters 26: 81–88. doi:10.1016/j.frl.2017.12.006.
- Corbet, S., A. Meegan, C. Larkin, B. Lucey, and L. Yarovaya. 2018b. “Exploring the Dynamic Relationships between Cryptocurrencies and Other Financial Assets.” Economics Letters 165: 28–34. doi:10.1016/j.econlet.2018.01.004.
- Fama, E. F., and K. R. French. 1993. “Common Risk Factors in the Returns on Stocks and Bonds.” Journal of Financial Economics 33 (1): 3–56. doi:10.1016/0304-405X(93)90023-5.
- Gastaldi, M., and A. Nardecchia. 2003. “The Kalman Filter Approach for Time-varying ß Estimation.” Systems Analysis Modelling Simulation 43 (8): 1033–1042. doi:10.1080/0232929031000150373.
- Hayes, A. S. 2017. “Cryptocurrency Value Formation: An Empirical Study Leading to a Cost of Production Model for Valuing Bitcoin.” Telematics and Informatics 34 (7): 1308–1321. doi:10.1016/j.tele.2016.05.005.
- Hayes, A. S. 2019. “Bitcoin Price and Its Marginal Cost of Production: Support for a Fundamental Value.” Applied Economics Letters 26 (7): 554–560. doi:10.1080/13504851.2018.1488040.
- Huang, H.-C. 2000. “Tests of Regimes-switching CAPM.” Applied Financial Economics 10 (5): 573–578. doi:10.1080/096031000416451.
- Liu, W. 2019. “Portfolio Diversification across Cryptocurrencies.” Finance Research Letters 29: 200–205. doi:10.1016/j.frl.2018.07.010.
- Liu, Y., and A. Tsyvinski. 2018. Risks and Returns of Cryptocurrency. Tech. rept. National Bureau of Economic Research.
- Platanakis, E., and A. Urquhart. 2019. “Portfolio Management with Cryptocurrencies: The Role of Estimation Risk.” Economics Letters 177: 76–80. doi:10.1016/j.econlet.2019.01.019.
- Trimborn, S., and W. K. Härdle. 2018. “CRIX an Index for Cryptocurrencies.” Journal of Empirical Finance 49: 107–122. doi:10.1016/j.jempfin.2018.08.004.
- Urquhart, A. 2016. “The Inefficiency of Bitcoin.” Economics Letters 148: 80–82. doi:10.1016/j.econlet.2016.09.019.
- Vidal-Tomás, D., and A. Ibañez. 2018. “Semi-strong Efficiency of Bitcoin.” Finance Research Letters 27: 259–265. doi:10.1016/j.frl.2018.03.013.
- Vidal-Tomás, D., A. M. Ibáñez, and J. E. Farinós. 2019. “Herding in the Cryptocurrency Market: CSSD and CSAD Approaches.” Finance Research Letters 30: 181–186. doi:10.1016/j.frl.2018.09.008.