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Articles

On the predictive power of ARJI volatility forecasts for Bitcoin

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References

  • Andersen, T. G., and T. Bollerslev. 1998. “Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts.” International Economic Review 39 (4): 885–905.
  • Baur, D. G., K. Hong, and A. D. Lee. 2018. “Bitcoin: Medium of Exchange or Speculative Assets?” Journal of International Financial Markets, Institutions and Money 54: 177–189.
  • Bollerslev, T. 1986. “Generalized Autoregressive Heteroskedasticity.” Journal of Econometrics 31 (3): 307–327.
  • Bouri, E., N. Jalkh, P. Molnar, and D. Roubaud. 2017a. “Bitcoin for Energy Commodities before and after the December 2013 Crash: Diversifier, Hedge or Safe Haven?” Applied Economics 49 (50): 5063–5073.
  • Bouri, E., P. Molnar, G. Azzi, D. Roubaud, and L. I. Hagfors. 2017b. “On the Hedge and Safe Haven Properties of Bitcoin: Is It Really More than a Diversifier?” Finance Research Letters 20: 192–198.
  • Chan, W. H. 2004. “Conditional Correlated Jump Dynamics in Foreign Exchange.” Economics Letters 83 (1): 23–28.
  • Chan, W. H., and J. M. Maheu. 2002. “Conditional Jump Dynamics in Stock Market Returns.” Journal of Business and Economic Statistics 20: 377–389.
  • Chan, W. H., and D. Young. 2006. “Jumping Hedges: An Examination of Movements in Copper Spot and Futures Markets.” Journal of Futures Markets 26: 169–188.
  • Cheah, E. T., and J. Fry. 2015. “Speculative Bubbles in Bitcoin Markets? an Empirical Investigation into the Fundamental Value of Bitcoin.” Economics Letters 130: 32–36.
  • Cheung, A., E. Roca, and J. Su. 2015. “Crypto-Currency Bubbles: An Application of the Phillips–Shi–Yu (2013) Methodology on Mt. Gox Bitcoin Prices.” Applied Economics 47 (23): 2348–2358.
  • Ciaian, P., M. Rajcaniova, and D. Kancs. 2016. “The Economics of BitCoin Price Formation.” Applied Economics 48 (19): 1799–1815.
  • Corbet, S., B. Lucey, and L. Yarovaya. 2018. “Datestamping the Bitcoin and Ethereum Bubbles.” Finance Research Letters 26: 81–88.
  • Corrado, C., and C. Truong. 2007. “Forecasting Stock Index Volatility: Comparing Implied Volatility and the Intraday High-Low Price Range.” Journal of Financial Research 30 (2): 201–215.
  • Dwyer, G. P. 2015. “The Economics of Bitcoin and Similar Private Digital Currencies.” Journal of Financial Stability 17: 81–91.
  • Dyhrberg, A. H. 2016a. “Bitcoin, Gold and the dollar—A GARCH Volatility Analysis.” Finance Research Letters 16: 85–92.
  • Dyhrberg, A. H. 2016b. “Hedging Capabilities of Bitcoin. Is It the Virtual Gold?” Finance Research Letters 16: 139–144.
  • Engle, R. F., and G. Lee. 1999. “A Permanent and Transitory Component Model of Stock Return Volatility.” In Cointegration, Causality, and Forecasting: A Festschrift in Honor of Clive W. J. Granger, edited by R. Engle and H. White, 475–497. New York: Oxford University Press.
  • Fuertes, A.-M., M. Izzeldin, and E. Kalotychou. 2009. “On Forecasting Daily Stock Volatility: The Role of Intraday Information and Market Conditions.” International Journal of Forecasting 25 (2): 259–281.
  • Gronwald, M. 2012. “A Characterization of Oil Price Behavior: Evidence from Jump Models.” Energy Economics 34: 1310–1317.
  • Gronwald, M. 2014. “The Economics of Bitcoins: Market Characteristics and Price Jumps.” CESifo Working Paper Series No. 5121. https://ssrn.com/abstract=2548999
  • Jarque, C. M., and A. K. Bera. 1987. “A Test for Normality of Observations and Regression Residuals.” International Statistical Review 55: 163–172.
  • Katsiampa, P. 2017. “Volatility Estimation for Bitcoin: A Comparison of GARCH Models.” Economics Letters 158: 3–6.
  • Koopman, S. J., B. Jungbacker, and E. Hol. 2005. “Forecasting Daily Variability of the S&P 100 Stock Index Using Historical, Realised and Implied Volatility Measurements.” Journal of Empirical Finance 12 (3): 445–475.
  • Lee, M. C., and J. C. Hung. 2007. “Hedging for Multi-Period Downside Risk in the Presence of Jump Dynamics and Conditional Heteroskedasticity.” Applied Economics 39 (18): 2403–2412.
  • Liu, H. C., S. M. Chiang, and Y. P. Cheng. 2012. “Forecasting the Volatility of S&P Depositary Receipts Using GARCH-type Models under Intraday Range-Based and Return-Based Proxy Measures.” International Review of Economics & Finance 22 (1): 78–91.
  • Luther, W. J., and L. H. White 2014. “Can Bitcoin Become a Major Currency?” Working Paper, 14–17. http://bahler.co/wp-content/uploads/2016/11/Can-Bitcoin-Become-a-Major-Currency.pdf
  • Mensi, W., K. H. Al-Yahyaee, and S. H. Kang. 2018. “Structural Breaks and Double Long Memory of Cryptocurrency Prices: A Comparative Analysis from Bitcoin and Ethereum.” Finance Research Letters, forthcoming.
  • Mincer, J., and V. Zarnowitz. 1969. “The Evaluation of Economic Forecasts.” In Economic Forecasts and Expectations, edited by J. Mincer, 3–46. New York: Columbia University Press.
  • Nadarajah, S., and J. Chu. 2017. “On the Inefficiency of Bitcoin.” Economics Letters 150: 6–9.
  • Nakamoto, S. 2008. “Bitcoin: A Peer-To-Peer Electronic Cash System.” https://bitcoin.org/bitcoin.pdf
  • Nelson, D. B. 1991. “Conditional Heteroskedasticity in Asset Returns: A New Approach.” Econometrica 59 (2): 347–370.
  • Selgin, G. 2015. “Synthetic Commodity Money.” Journal of Financial Stability 17: 92–99.
  • Su, J. B., and J. C. Hung. 2011. “Empirical Analysis of Jump Dynamics, Heavy-Tails and Skewness on Value-At-Risk Estimation.” Economic Modelling 28 (3): 1117–1130.
  • Troster, V., A. K. Tiwari, M. Shahbaz, and D. N. Macedo. 2018. “Bitcoin Returns and Risk: A General GARCH and GAS Analysis.” Finance Research Letters, forthcoming.
  • Urquhart, A. 2016. “The Inefficiency of Bitcoin.” Economics Letters 148: 80–82.
  • Urquhart, A. 2018. “What Causes the Attention of Bitcoin?” Economics Letters 166: 40–44.
  • Wang, J. N., Y. T. Hsu, and C. C. Chen. 2018. “Triangular No-Arbitrage Estimation through Bitcoin: An Application in Venezuelan Bolivars.” Asia-Pacific Journal of Financial Studies 47: 529–545.

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