Spillovers between Bitcoin and other assets during bear and bull markets

References

• Al-Khazali, O., E. Bouri, and D. Roubaud. 2018. “The Impact of Positive and Negative Macroeconomic News Surprises: Gold versus Bitcoin.” Economics Bulletin 38 (1): 373–382.
   Web of Science ®Google Scholar
• Baek, C., and M. Elbeck. 2015. “Bitcoins as an Investment or Speculative Vehicle? A First Look.” Applied Economics Letters 22 (1): 30–34.
   Web of Science ®Google Scholar
• Bai, J., and P. Perron. 2003. “Computation and Analysis of Multiple Structural Change Models.” Journal of Applied Econometrics 18 (1): 1–22.
   Web of Science ®Google Scholar
• Balcilar, M., E. Bouri, R. Gupta, and R. Roubaud. 2017. “Can Volume Predict Bitcoin Returns? A Quantiles-Based Approach.” Economic Modelling 64: 74–81.
   Web of Science ®Google Scholar
• Baur, D., A. Lee, and K. Hong. (2015). “Bitcoin: Currency or Investment?” Available at SSRN: https://ssrn.com/abstract=2561183
   Google Scholar
• Bauwens, L., S. Laurent, and J. V. Rombouts. 2006. “Multivariate GARCH Models: A Survey.” Journal of Applied Econometrics 21 (1): 79–109.
   Web of Science ®Google Scholar
• Bollerslev, T. 1990. “Modelling the Coherence in Short-Run Nominal Exchange Rates: A Multivariate Generalized ARCH Model.” In The Review of Economics and Statistics, 498–505.
   Google Scholar
• Bouoiyour, J., and R. Selmi. 2015. “What Does Bitcoin Look Like?” Annals of Economics and Finance 16 (2): 449–492.
   Web of Science ®Google Scholar
• Bouri, E., R. Gupta, M. C. K. Lau, and D. Roubaud. 2018. “Bitcoin and Global Financial Stress: A Copula-Based Approach to Dependence and Causality in the Quantiles.” The Quarterly Review of Economics and Finance. doi:10.1016/j.qref.2018.04.003.
   Web of Science ®Google Scholar
• Bouri, E., R. Gupta, A. Tiwari, and D. Roubaud. 2017a. “Does Bitcoin Hedge Global Uncertainty? Evidence from Wavelet-Based Quantile-In-Quantile Regressions.” Finance Research Letters 23: 87–95.
   Web of Science ®Google Scholar
• Bouri, E., N. Jalkh, P. Molnár, and D. Roubaud. 2017b. “Bitcoin for Energy Commodities before and after the December 2013 Crash: Diversifier, Hedge or More?” Applied Economics 49 (50): 5063–5073.
   Web of Science ®Google Scholar
• Brière, M., K. Oosterlinck, and A. Szafarz. 2015. “Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins.” Journal of Asset Management 16 (6): 365–373.
   Web of Science ®Google Scholar
• Broock, W. A., J. A. Scheinkman, W. D. Dechert, and B. LeBaron. 1996. “A Test for Independence Based on the Correlation Dimension.” Econometric Reviews 15 (3): 197–235.
   Google Scholar
• Camacho, M. 2004. “Vector Smooth Transition Regression Models for US GDP and the Composite Index of Leading Indicators.” Journal of Forecasting 23 (3): 173–196.
   Web of Science ®Google Scholar
• Chen, S. S. 2009. “Predicting the Bear Stock Market: Macroeconomic Variables as Leading Indicators.” Journal of Banking & Finance 33 (2): 211–223.
   Web of Science ®Google Scholar
• Chowdhury, K. B., S. Kundu, and N. Sarkar. 2018. “Regime-Dependent Effects of Uncertainty on Inflation and Output Growth: Evidence from the United Kingdom and the United States.” Scottish Journal of Political Economy. doi:10.1111/sjpe.12168.
   Web of Science ®Google Scholar
• Christodoulakis, G. A., and S. E. Satchell. 2002. “Correlated ARCH (Corrarch): Modelling the Time-Varying Conditional Correlation between Financial Asset Returns.” European Journal of Operational Research 139 (2): 351–370.
   Web of Science ®Google Scholar
• Ciaian, P., M. Rajcaniova, and D. A. Kancs. 2016. “The Economics of Bitcoin Price Formation.” Applied Economics 48 (19): 1799–1815.
   Web of Science ®Google Scholar
• Dickey, D. A., and W. A. Fuller. 1979. “Distributions of the Estimators for Autoregressive Time Series with a Unit Root.” Journal of American Statistical Association 74 (366): 427–481.
   Web of Science ®Google Scholar
• Dyhrberg, A. H. 2016. “Hedging Capabilities of Bitcoin. Is It the Virtual Gold?” Finance Research Letters 16: 139–144.
   Web of Science ®Google Scholar
• EBA. (2014). “EBA Opinion on ‘Virtual’ Currencies EBA/Op/2014/08.”, European Banking Authority.
   Google Scholar
• Engle, R. F. 2002. “Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models.” Journal of Business & Economic Statistics 20 (3): 339–350.
   Web of Science ®Google Scholar
• Engle, R. F., and K. Sheppard. (2001). “Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH (No. W8554).” National Bureau of Economic Research.
   Google Scholar
• European Central Bank. (2012). “Virtual Currency Schemes.” October, 1–55.
   Google Scholar
• Glosten, L. R., R. Jagannathan, and D. E. Runkle. 1993. “On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks.” The Journal of Finance 48 (5): 1779–1801.
   Web of Science ®Google Scholar
• Granger, C. W., and T. Terasvirta. 1993. Modelling Non-Linear Economic Relationships. OUP Catalogue.
   Google Scholar
• Hayes, A. S. 2016. “Cryptocurrency Value Formation: An Empirical Study Leading to a Cost of Production Model for Valuing Bitcoin.” Telematics and Informatics 34 (7): 1308–1321.
   Web of Science ®Google Scholar
• He, C. and T. Terasvirta. 2002.“Moment structure of a family of first-order exponential GARCH models.” Econometric Theory 18 (4): 868–885.
   Web of Science ®Google Scholar
• Ji, Q., E. Bouri, R. Gupta, and D. Roubaud. 2018. “Network Causality Structures among Bitcoin and Other Financial Assets: A Directed Acyclic Graph Approach.” The Quarterly Review of Economics and Finance. doi:10.1016/j.qref.2018.05.016.
   Web of Science ®Google Scholar
• Kristoufek, L. 2013. “Bitcoin Meets Google Trends and Wikipedia: Quantifying the Relationship between Phenomena of the Internet Era.” Scientific Reports 3. Article number 3415.
   Web of Science ®Google Scholar
• Kristoufek, L. 2015. “What are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis.” PloS One 10 (4): e0123923.
   PubMed Web of Science ®Google Scholar
• Kundu, S., and N. Sarkar. 2016. “Return and Volatility Interdependences in up and down Markets across Developed and Emerging Countries.” Research in International Business and Finance 36: 297–311.
   Web of Science ®Google Scholar
• Li, X., and C. A. Wang. 2017. “The Technology and Economic Determinants of Cryptocurrency Exchange Rates: The Case of Bitcoin.” Decision Support Systems 95: 49–60.
   Web of Science ®Google Scholar
• Luther, W. J., and A. W. Salter. 2017. “Bitcoin and the Bailout.” The Quarterly Review of Economics and Finance 66: 50–56.
   Web of Science ®Google Scholar
• Moore, T., and N. Christin. 2013. “Beware the Middleman: Empirical Analysis of Bitcoin-Exchange Risk.” In International Conference on Financial Cryptography and Data Security (Pp. 25–33). Berlin, Heidelberg: Springer.
   Google Scholar
• Nelson, D. B. 1991. “Conditional Heteroskedasticity in Asset Returns: A New Approach.” Econometrica 59: 347–370.
   Web of Science ®Google Scholar
• Phillips, P. C. B., and P. Perron. 1988. “Testing for a Unit Root in Time Series Regression.” Biometrika 75 (2): 335–346.
   Web of Science ®Google Scholar
• Polasik, M., A. Piotrowska, T. P. Wisniewski, R. Kotkowski, and G. Lightfoot. 2015. “Price Fluctuations and the Use of Bitcoin: An Empirical Inquiry.” International Journal of Electronic Commerce 20 (1): 9–49.
   Web of Science ®Google Scholar
• Rogojanu, A., and L. Badea. 2014. “The Issue of Competing Currencies. Case study – Bitcoin.” Theoretical and Applied Economics 21 (1): 103–114.
   Google Scholar
• Selgin, G. 2015. “Synthetic Commodity Money.” Journal of Financial Stability 17: 92–99.
   Web of Science ®Google Scholar
• Terasvirta, T. 1994. “Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models.” Journal of the American Statistical Association 89 (425): 208–218.
   Web of Science ®Google Scholar
• Tsay, R. S. 1989. “Testing and Modeling Threshold Autoregressive Processes.” Journal of the American Statistical Association 84 (405): 231–240.
   Web of Science ®Google Scholar
• Tse, Y. K., and A. K. C. Tsui. 2002. “A Multivariate Generalized Autoregressive Conditional Heteroscedasticity Model with Time-Varying Correlations.” Journal of Business & Economic Statistics 20 (3): 351–362.
   Web of Science ®Google Scholar
• Yelowitz, A., and M. Wilson. 2015. “Characteristics of Bitcoin Users: An Analysis of Google Search Data.” Applied Economics Letters 22 (13): 1030–1036.
   Web of Science ®Google Scholar
• Yermack, D. (2013). “Is Bitcoin a Real Currency? An Economic Appraisal (No. W19747).” National Bureau of Economic Research. http://www.nber.org/papers/w19747.
   Google Scholar