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Research Article

Predictability of bitcoin returns

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Pages 66-85 | Received 09 Jun 2019, Accepted 06 Oct 2020, Published online: 05 Nov 2020

References

  • Adcock, Robert, and Nikola Gradojevic. 2019. “Non-Fundamental, Non-Parametric Bitcoin Forecasting.” Physica A: Statistical Mechanics and Its Applications 531: 121727.
  • Amihud, Yakov, and Haim Mendelson. 1986. “Asset Pricing and the Bid-Ask Spread.” Journal of Financial Economics 17 (2): 223–249.
  • Amisano, Gianni, and Raffaella Giacomini. 2007. “Comparing Density Forecasts via Weighted Likelihood Ratio Tests.” Journal of Business and Economic Statistics 25 (2): 177–190.
  • An, Jiafu, and Raghavendra Rau. 2019. “Finance, Technology and Disruption.” European Journal of Finance. doi:https://doi.org/10.1080/1351847X.2019.1703024.
  • Atsalakis, George S., Ioanna G. Atsalaki, Fotios Pasiouras, and Constantin Zopounidis. 2019. “Bitcoin Price Forecasting with Neuro-Fuzzy Techniques.” European Journal of Operational Research 276 (2): 770–780.
  • Baek, C., and M. Elbeck. 2015. “Bitcoins as an Investment or Speculative Vehicle? A First Look.” Applied Economics Letters 22 (1): 30–34.
  • Baker, Scott R., Nicholas Bloom, and Steven J. Davis. 2016. “Measuring Economic Policy Uncertainty.” The Quarterly Journal of Economics 131 (4): 1593–1636.
  • Balcilar, Mehmet, Elie Bouri, Rangan Gupta, and David Roubaud. 2017. “Can Volume Predict Bitcoin Returns and Volatility? A Quantiles-Based Approach.” Economic Modelling 64: 74–81.
  • Barroso, Pedro, and Pedro Santa-Clara. 2015. “Momentum Has Its Moments.” Journal of Financial Economics 116 (1): 111–120.
  • Böhme, Rainer, Nicolas Christin, Benjamin Edelman, and Tyler Moore. 2015. “Bitcoin: Economics, Technology, and Governance.” Journal of Economic Perspectives 29 (2): 213–238.
  • Borri, Nicola. 2019. “Conditional Tail-Risk in Cryptocurrency Markets.” Journal of Empirical Finance 50: 1–19.
  • Bouri, Elie, Georges Azzi, and Anne Haubo Dyhrberg. 2016. “On the Return-Volatility Relationship in the Bitcoin Market Around the Price Crash of 2013.” Working Paper.
  • Bouri, Elie, Rangan Gupta, Aviral Kumar Tiwari, and David Roubaud. 2017a. “Does Bitcoin Hedge Global Uncertainty? Evidence from Wavelet-Based Quantile-in-Quantile Regressions.” Finance Research Letters 23: 87–95.
  • Bouri, Elie, Peter Molnár, Georges Azzi, David Roubaud, and Lars Ivar Hagfors. 2017b. “On the Hedge and Safe Haven Properties of Bitcoin: Is It Really More Than a Diversifier?” Finance Research Letters 20: 192–198.
  • Brennan, Michael J., Tarun Chordia, and Avanidhar Subrahmanyam. 1998. “Alternative Factor Specifications, Security Characteristics, and the Cross-Section of Expected Stock Returns.” Journal of Financial Economics 49 (3): 345–373.
  • Busetti, Fabio, and Juri Marcucci. 2013. “Comparing Forecast Accuracy: A Monte Carlo Investigation.” International Journal of Forecasting 29 (1): 13–27.
  • Campbell, John Y., Andrew W. Lo, and Archie Craig MacKinlay. 1997. The Econometrics of Financial Markets. New Jersey: Princeton University Press.
  • Campbell, John Y., and Samuel B. Thompson. 2008. “Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?” The Review of Financial Studies 21 (4): 1509–1531.
  • Campbell, John Y., and Motohiro Yogo. 2006. “Efficient Tests of Stock Return Predictability.” Journal of Financial Economics 81 (1): 27–60.
  • Cenesizoglu, Tolga, and Allan Timmermann. 2012. “Do Return Prediction Models Add Economic Value?” Journal of Banking and Finance 36 (11): 2974–2987.
  • Cheah, Eng-Tuck, and John Fry. 2015. “Speculative Bubbles in Bitcoin Markets? An Empirical Investigation Into the Fundamental Value of Bitcoin.” Economics Letters 130: 32–36.
  • Cheah, Eng Tuck, Tapas Mishra, Mamata Parhi, and Zhuang Zhang. 2018. “Long Memory Interdependency and Inefficiency in Bitcoin Markets.” Economics Letters 167: 18–25.
  • Clark, Todd E., and Kenneth D. West. 2007. “Approximately Normal Tests for Equal Predictive Accuracy in Nested Models.” Journal of Econometrics 138 (1): 291–311.
  • Corbet, Shaen, Brian Lucey, Andrew Urquhart, and Larisa Yarovaya. 2019. “Cryptocurrencies as a Financial Asset: A Systematic Analysis.” International Review of Financial Analysis 62: 182–199.
  • Corwin, Shane A., and Paul Schultz. 2012. “A Simple Way to Estimate Bid-Ask Spreads From Daily High and Low Prices.” The Journal of Finance 67 (2): 719–760.
  • Demir, Ender, Giray Gozgor, Chi Keung Marco Lau, and Samuel A. Vigne. 2018. “Does Economic Policy Uncertainty Predict the Bitcoin Returns? An Empirical Investigation.” Finance Research Letters 26: 145–149.
  • Detzel, Andrew, Hong Liu, Jack Strauss, Guofu Zhou, and Yingzi Zhu. 2020. “Learning and Predictability via Technical Analysis: Evidence from Bitcoin and Stocks with Hard-to-Value Fundamentals.” Financial Management, forthcoming.
  • Donier, Jonathan, and Jean-Philippe Bouchaud. 2015. “Why Do Markets Crash? Bitcoin Data Offers Unprecedented Insights.” PloS one 10 (10). e0139356.
  • Dyhrberg, Anne Haubo. 2016. “Hedging Capabilities of Bitcoin. Is It the Virtual Gold?” Finance Research Letters 16: 139–144.
  • Dyhrberg, Anne H., Sean Foley, and Jiri Svec. 2018. “How Investible Is Bitcoin? Analyzing the Liquidity and Transaction Costs of Bitcoin Markets.” Economics Letters 171: 140–143.
  • Easley, David, Maureen O’Hara, and Soumya Basu. 2019. “From Mining to Markets: The Evolution of Bitcoin Transaction Fees.” Journal of Financial Economics 134 (1): 91–109.
  • Elliott, Graham, and Ulrich K. Müller. 2006. “Efficient Tests for General Persistent Time Variation in Regression Coefficients.” The Review of Economic Studies 73 (4): 907–940.
  • Fama, Eugene F., and Kenneth R. French. 1989. “Business Conditions and Expected Returns on Stocks and Bonds.” Journal of Financial Economics 25 (1): 23–49.
  • Ferreira, Miguel A., and Pedro Santa-Clara. 2011. “Forecasting Stock Market Returns: The Sum of the Parts Is More Than the Whole.” Journal of Financial Economics 100 (3): 514–537.
  • Ferson, Wayne E., Sergei Sarkissian, and Timothy T. Simin. 2003. “Spurious Regressions in Financial Economics?” The Journal of Finance 58 (4): 1393–1413.
  • Fry, John, and Eng Tuck Cheah. 2016. “Negative Bubbles and Shocks in Cryptocurrency Markets.” International Review of Financial Analysis 47: 343–352.
  • Garcia, David, and Frank Schweitzer. 2015. “Social Signals and Algorithmic Trading of Bitcoin.” Royal Society Open Science 2 (9): 150288.
  • Hafner, Christian. 2020. “Testing for Bubbles in Cryptocurrencies with Time-Varying Volatility.” Journal of Financial Econometrics 18 (2): 233–249.
  • Jang, Huisu, and Jaewook Lee. 2017. “An Empirical Study on Modeling and Prediction of Bitcoin Prices with Bayesian Neural Networks Based on Blockchain Information.” IEEE Access 6: 5427–5437.
  • Johannes, Michael, Arthur Korteweg, and Nicholas Polson. 2014. “Sequential Learning, Predictability, and Optimal Portfolio Returns.” The Journal of Finance 69 (2): 611–644.
  • Johnson, Travis L. 2019. “A Fresh Look at Return Predictability Using a More Efficient Estimator.” The Review of Asset Pricing Studies 9 (1): 1–46.
  • Ju, Lan, Timothy Jun Lu, and Zhiyong Tu. 2016. “Capital Flight and Bitcoin Regulation.” International Review of Finance 16 (3): 445–455.
  • Jurado, Kyle, Sydney C. Ludvigson, and Serena Ng. 2015. “Measuring Uncertainty.” American Economic Review 105: 1177–1216.
  • Kajtazi, Anton, and Andrea Moro. 2019. “The Role of Bitcoin in Well Diversified Portfolios: A Comparative Global Study.” International Review of Financial Analysis 61: 143–157.
  • Karalevicius, Vytautas, Niels Degrande, and Jochen De Weerdt. 2018. “Using Sentiment Analysis to Predict Interday Bitcoin Price Movements.” The Journal of Risk Finance 19 (1): 56–75.
  • Katsiampa, Paraskevi. 2017. “Volatility Estimation for Bitcoin: A Comparison of GARCH Models.” Economics Letters 158: 3–6.
  • Keim, Donald B., and Robert F. Stambaugh. 1986. “Predicting Returns in the Stock and Bond Markets.” Journal of Financial Economics 17 (2): 357–390.
  • Kim, Abby Y., Yiuman Tse, and John K. Wald. 2016. “Time series momentum and volatility scaling.” Journal of Financial Markets 30: 103–124.
  • Kostakis, Alexandros, Tassos Magdalinos, and Michalis P. Stamatogiannis. 2015. “Robust Econometric Inference for Stock Return Predictability.” The Review of Financial Studies 28 (5): 1506–1553.
  • Koutmos, Dimitrios. 2018a. “Liquidity Uncertainty and Bitcoin’s Market Microstructure.” Economics Letters 172: 97–101.
  • Koutmos, Dimitrios. 2018b. “Bitcoin Returns and Transaction Activity.” Economics Letters 167: 81–85.
  • Leitch, Gordon, and Ernest Tanner. 1991. “Economic Forecast Evaluation: Profits Versus the Conventional Error Measures.” American Economic Review 81 (3): 580–590.
  • Momtaz, Paul P. 2019. “The Pricing and Performance of Cryptocurrency.” European Journal of Finance. doi:https://doi.org/10.1080/1351847X.2019.1647259.
  • Moreira, Alan, and Tyler Muir. 2017. “Volatility-Managed Portfolios.” The Journal of Finance 72 (4): 1611–1644.
  • Moskowitz, Tobias J., Yao Hua Ooi, and Lasse Heje Pedersen. 2012. “Time Series Momentum.” Journal of Financial Economics 104 (2): 228–250.
  • Neely, Christopher J., David E. Rapach, Jun Tu, and Guofu Zhou. 2014. “Forecasting the Equity Risk Premium: The Role of Technical Indicators.” Management Science 60 (7): 1772–1791.
  • Novy-Marx, Robert. 2014. “Predicting Anomaly Performance with Politics, the Weather, Global Warming, Sunspots, and the Stars.” Journal of Financial Economics 112 (2): 137–146.
  • Novy-Marx, Robert, and Mihail Velikov. 2016. “A Taxonomy of Anomalies and Their Trading Costs.” The Review of Financial Studies 29 (1): 104–147.
  • Pástor, Ľuboš, and Robert F. Stambaugh. 2003. “Liquidity Risk and Expected Stock Returns.” Journal of Political Economy 111 (3): 642–685.
  • Patton, Andrew J., and Brian M. Weller. 2020. “What You See Is Not What You Get: The Costs of Trading Market Anomalies.” Journal of Financial Economics 137 (2): 515–549.
  • Paye, Bradley S., and Allan Timmermann. 2006. “Instability of Return Prediction Models.” Journal of Empirical Finance 13 (3): 274–315.
  • Rapach, David E., Matthew C. Ringgenberg, and Guofu Zhou. 2016. “Short Interest and Aggregate Stock Returns.” Journal of Financial Economics 121 (1): 46–65.
  • Rapach, David, and Guofu Zhou. 2013. “Forecasting Stock Returns.” Handbook of Economic Forecasting 2: 328–383. Elsevier.
  • Shen, Dehua, Andrew Urquhart, and Pengfei Wang. 2019. “Does Twitter Predict Bitcoin?” Economics Letters 174: 118–122.
  • Shi, Shimeng, and Yukun Shi. 2019. “Bitcoin Futures: Trade It or Ban It?” European Journal of Finance. doi:https://doi.org/10.1080/1351847X.2019.1647865.
  • Stambaugh, Robert F. 1999. “Predictive Regressions.” Journal of Financial Economics 54 (3): 375–421.
  • Tay, Anthony S., and Kenneth F. Wallis. 2000. “Density Forecasting: A Survey.” Journal of Forecasting 19 (4): 235–254.
  • Urquhart, Andrew. 2018. “What Causes the Attention of Bitcoin?” Economics Letters 166: 40–44.
  • Weber, Beat. 2016. “Bitcoin and the Legitimacy Crisis of Money.” Cambridge Journal of Economics 40 (1): 17–41.
  • Welch, Ivo, and Amit Goyal. 2008. “A Comprehensive Look at the Empirical Performance of Equity Premium Prediction.” The Review of Financial Studies 21 (4): 1455–1508.
  • Westerlund, J., and P. Narayan. 2015. “Testing for Predictability in Conditionally Heteroskedastic Stock Returns.” Journal of Financial Econometrics 13 (2): 342–375.
  • White, Halbert. 1980. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica 48 (4): 817.

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