Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance

International Review of Financial Analysis - Tập 59 - Trang 105-116 - 2018
Tony Klein1,2, Hien Pham Thu3, Thomas Walther1,4
1Faculty of Business and Economics, Technische Universität Dresden, Germany
2Queen’s Management School, Queen’s University Belfast, UK
3School of Business and Economics, Humboldt-Universität zu Berlin, Germany
4Institute for Operations Research and Computational Finance, University of St. Gallen, Switzerland

Tài liệu tham khảo

Baillie, 1996, Long memory processes and fractional integration in econometrics, Journal of Econometrics, 73, 5, 10.1016/0304-4076(95)01732-1 Bariviera, 2017, Some stylized facts of the Bitcoin market, Physica A: Statistical Mechanics and its Applications, 484, 82, 10.1016/j.physa.2017.04.159 Baur, 2018, Bitcoin, gold and the US dollar – A replication and extension, Finance Research Letters, 25, 103, 10.1016/j.frl.2017.10.012 Baur, 2010, Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold, Financial Review, 45, 217, 10.1111/j.1540-6288.2010.00244.x Baur, 2010, Is gold a safe haven? International evidence, Journal of Banking & Finance, 34, 1886, 10.1016/j.jbankfin.2009.12.008 Baur, 2016, Why is gold a safe haven?, Journal of Behavioral and Experimental Finance, 10, 63, 10.1016/j.jbef.2016.03.002 Black, 1976, Studies of stock price volatility changes, 177 Blau, 2017, Price dynamics and speculative trading in bitcoin, Research in International Business and Finance, 41, 493, 10.1016/j.ribaf.2017.05.010 Bollerslev, 1986, Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31, 307, 10.1016/0304-4076(86)90063-1 Bollerslev, 1988, A capital asset pricing model with time-varying covariances, Journal of Political Economy, 96, 116, 10.1086/261527 Bollerslev, 1996, Modeling and pricing long memory in stock market volatility, Journal of Econometrics, 73, 151, 10.1016/0304-4076(95)01736-4 Bouri, 2017, Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions, Finance Research Letters, 23, 87, 10.1016/j.frl.2017.02.009 Bouri, 2017, On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?, Finance Research Letters, 20, 192, 10.1016/j.frl.2016.09.025 Brandvold, 2015, Price discovery on Bitcoin exchanges, Journal of International Financial Markets, Institutions and Money, 36, 18, 10.1016/j.intfin.2015.02.010 Campbell, 1992, No news is good news. An asymmetric model of changing volatility in stock returns, Journal of Financial Economics, 31, 281, 10.1016/0304-405X(92)90037-X Capie, 2005, Gold as a hedge against the dollar, Journal of International Financial Markets, Institutions and Money, 15, 343, 10.1016/j.intfin.2004.07.002 Catania, 2017 Cheah, 2015, Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin, Economics Letters, 130, 32, 10.1016/j.econlet.2015.02.029 Cheung, 2015, Crypto-currency bubbles: An application of the Phillips–Shi–Yu (2013) methodology on Mt. Gox bitcoin prices, Applied Economics, 47, 2348, 10.1080/00036846.2015.1005827 Chkili, 2014, Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory, Energy Economics, 41, 1, 10.1016/j.eneco.2013.10.011 Christie, 1982, The stochastic behavior of common stock variances. Value, leverage and interest rate effects, Journal of Financial Economics, 10, 407, 10.1016/0304-405X(82)90018-6 Chu, 2017, GARCH modelling of cryptocurrencies, Journal of Risk and Financial Management, 10, 17, 10.3390/jrfm10040017 2015 Ciaian, 2017, Virtual relationships: Short- and long-run evidence from bitcoin and altcoin markets, Journal of International Financial Markets, Institutions and Money, 6, 467 Conrad, 2018, Long- and short-term cryptocurrency volatility components: A GARCH-MIDAS analysis, Journal of Risk and Financial Management, 11, 1, 10.3390/jrfm11020023 Corbet, 2018, Exploring the dynamic relationships between cryptocurrencies and other financial assets, Economics Letters, 165, 28, 10.1016/j.econlet.2018.01.004 Davidson, 2004, Moment and memory properties of linear conditional heteroscedasticity models, and a new model, Journal of Business & Economic Statistics, 22, 16, 10.1198/073500103288619359 Demir, 2018, Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation, Finance Research Letters, 10.1016/j.frl.2018.01.005 Ding, 1993, A long memory property of stock market returns and a new model, Journal of Empirical Finance, 1, 83, 10.1016/0927-5398(93)90006-D Dwyer, 2015, The economics of Bitcoin and similar private digital currencies, Journal of Financial Stability, 17, 81, 10.1016/j.jfs.2014.11.006 Dyhrberg, 2016, Bitcoin, gold and the dollar – A GARCH volatility analysis, Finance Research Letters, 16, 85, 10.1016/j.frl.2015.10.008 Elendner, 2018, The cross-section of crypto-currencies as financial assets, Volume 1, Vol.649, 145 Engle, 1982, Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987, 10.2307/1912773 Engle, 2002, Dynamic conditional correlation, A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models, 20, 339 Engle, 1995, Multivariate simultaneous generalized arch, Econometric Theory, 11, 122, 10.1017/S0266466600009063 Engle, 1993, Measuring and testing the impact of news on volatility, The Journal of Finance, 48, 1749, 10.1111/j.1540-6261.1993.tb05127.x Guesmi, 2018, Portfolio diversification with virtual currency: Evidence from bitcoin, International Review of Financial Analysis, 10.1016/j.irfa.2018.03.004 Hammoudeh, 2010, Precious metals-exchange rate volatility transmissions and hedging strategies, International Review of Economics & Finance, 19, 633, 10.1016/j.iref.2010.02.003 Härdle, 2018, Understanding Cryptocurrencies, Journal of Financial Economics Katsiampa, 2017, Volatility estimation for Bitcoin: A comparison of GARCH models, Economics Letters, 158, 3, 10.1016/j.econlet.2017.06.023 Klein, 2017, Fast fractional differencing in modeling long memory of conditional variance for high-frequency data, Finance Research Letters, 22C, 274, 10.1016/j.frl.2016.12.020 Klein, 2017, Dynamic correlation of precious metals and flight-to-quality in developed markets, Finance Research Letters, 23, 283, 10.1016/j.frl.2017.05.002 Kruse, 2018, Bias-corrected estimation for speculative bubbles in stock prices, Economic Modelling, 1 Nakamoto, 2008 Savitzky, 1964, Smoothing and differentiation of data by simplified least squares procedures., Analytical Chemistry, 36, 1627, 10.1021/ac60214a047 Trimborn, 2017 Tse, 1998, The conditional heteroscedasticity of the yen-dollar exchange rate, Journal of Applied Econometrics, 13, 49, 10.1002/(SICI)1099-1255(199801/02)13:1<49::AID-JAE459>3.0.CO;2-O Walther, 2017, True or spurious long memory in European non-EMU currencies, Research in International Business and Finance, 40C, 217, 10.1016/j.ribaf.2017.01.003 Zakoian, 1994, Threshold heteroskedastic models, Journal of Economic Dynamics and Control, 18, 931, 10.1016/0165-1889(94)90039-6