- (2002b): âEstimating Quadratic Variation Using Realized Variance,â Journal of Applied Econometrics, 17(5), 457â477.
Paper not yet in RePEc: Add citation now
- (2004): âPower and Bipower Variation with Stochastic Volatility and Jumps,â Journal of Financial Econometrics, 2(1), 1â37.
Paper not yet in RePEc: Add citation now
- (2006): âEconometrics of Testing for Jumps in Financial Economics Using Bipower Variation,â Journal of Financial Econometrics, 4(1), 1â30.
Paper not yet in RePEc: Add citation now
Ait-Sahalia, Y., P. A. Mykland, and L. Zhang (2005): âHow Often to Sample a Continuous-time Process in the Presence of Market Microstructure Noise,â The Review of Financial Studies, 18(2), 351â416.
Andersen, T. G., T. Bollerslev, and F. X. Diebold (2007): âRoughing It up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility,â The Review of Economics and Statistics, 89(4), 701â720.
Andersen, T. G., T. Bollerslev, F. X. Diebold, and H. Ebens (2001): âThe Distribution of Realized Stock Return Volatility,â Journal of Financial Economics, 61(1), 43â76.
Andersen, T. G., T. Bollerslev, F. X. Diebold, and P. Labys (2001): âThe Distribution of Realized Exchange Rate Volatility,â Journal of the American Statistical Association, 96(453), 42â55.
Balcilar, M., E. Bouri, R. Gupta, and D. Roubaud (2017): âCan Volume Predict Bitcoin Returns and Volatility? a Quantiles-based Approach,â Economic Modelling, 64, 74â81.
Bandi, F. M., and J. R. Russell (2008): âMicrostructure Noise, Realized Variance, and Optimal Sampling,â Review of Economic Studies, 75(2), 339â369.
- Barndorff-Nielsen, O. E., and N. Shephard (2002a): âEconometric Analysis of Realized Volatility and Its Use in Estimating Stochastic Volatility Models,â Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64(2), 253â280.
Paper not yet in RePEc: Add citation now
Barndorff-Nielsen, O. E., P. R. Hansen, A. Lunde, and N. Shephard (2008): âDesigning realized kernels to measure the ex post variation of equity prices in the presence of noise,â Econometrica, 76(6), 1481â1536.
Barndorff-Nielsen, O. E., S. Kinnebrock, and N. Shephard (2008): âMeasuring Downside Risk-realised Semivariance,â CREATES Research Paper, (2008-42).
Bollerslev, T., and E. Ghysels (1996): âPeriodic Autoregressive Conditional Heteroscedasticity, â Journal of Business & Economic Statistics, 14(2), 139â151.
Bollerslev, T., B. Hood, J. Huss, and L. H. Pedersen (2018): âRisk Everywhere: Modeling and Managing Volatility,â The Review of Financial Studies, 31(7), 2729â2773.
- Bouri, E., P. Molnár, G. Azzi, D. Roubaud, and L. I. Hagfors (2017): âOn the Hedge and Safe Haven Properties of Bitcoin: Is It Really More Than a Diversifier?,â Finance Research Letters, 20, 192â198.
Paper not yet in RePEc: Add citation now
Bukovina, J., M. MartiÄek, et al. (2016): âSentiment and Bitcoin Volatility,â Discussion paper, Mendel University in Brno, Faculty of Business and Economics.
- Chen, S., C. Y.-H. Chen, W. K. Härdle, T. Lee, and B. Ong (2018): âEconometric Analysis of a Cryptocurrency Index for Portfolio Investment,â in Handbook of Blockchain, Digital Finance, and Inclusion, Volume 1, pp. 175â206. Elsevier.
Paper not yet in RePEc: Add citation now
Conrad, C., A. Custovic, and E. Ghysels (2018): âLong-and Short-Term Cryptocurrency Volatility Components: A GARCH-MIDAS Analysis,â Journal of Risk and Financial Management, 11(2), 23.
Corsi, F. (2009): âA Simple Approximate Long-memory Model of Realized Volatility,â Journal of Financial Econometrics, 7(2), 174â196.
Corsi, F., D. Pirino, and R. Reno (2010): âThreshold Bipower Variation and the Impact of Jumps on Volatility Forecasting,â Journal of Econometrics, 159(2), 276â288.
Diebold, F. X., and R. S. Mariano (2002): âComparing Predictive Accuracy,â Journal of Business & Economic Statistics, 20(1), 134â144.
- Dyhrberg, A. H. (2016): âBitcoin, Gold and the Dollar â a GARCH Volatility Analysis,â Finance Research Letters, 16, 85â92.
Paper not yet in RePEc: Add citation now
- Fan, J., and Q. Yao (2008): Nonlinear Time Series: Nonparametric and Parametric Methods. Springer Science & Business Media.
Paper not yet in RePEc: Add citation now
Fleming, J., C. Kirby, and B. Ostdiek (2001): âThe Economic Value of Volatility Timing,â The Journal of Finance, 56(1), 329â352.
Garcia, D., and F. Schweitzer (2015): âSocial Signals and Algorithmic Trading of Bitcoin,â Royal Society open science, 2(9), 150288.
Gerlach, J.-C., G. Demos, and D. Sornette (2019): âDissection of Bitcoinâs multiscale bubble history from January 2012 to February 2018,â Royal Society Open Science, 6(7), 180643.
- Glaser, F., K. Zimmermann, M. Haferkorn, M. C. Weber, and M. Siering (2014): âBitcoin-asset or Currency? Revealing Usersâ Hidden Intentions,â Revealing Usersâ Hidden Intentions (April 15, 2014). ECIS.
Paper not yet in RePEc: Add citation now
- Griffin, J. M., and A. Shams (2018): âIs Bitcoin Really Un-Tethered?,â Avaiable at SSRN: https://ssrn.com/abstract=3195066.
Paper not yet in RePEc: Add citation now
- Gronwald, M. (2014): âThe Economics of BitcoinsâMarket Characteristics and Price Jumps,â Available at SSRN: https://ssrn.com/abstract=2548999.
Paper not yet in RePEc: Add citation now
Hafner, C. M. (2018): âTesting for Bubbles in Cryptocurrencies with Time-Varying Volatility, â Journal of Financial Econometrics.
Hansen, P. R., and A. Lunde (2006): âRealized Variance and Market Microstructure Noise,â Journal of Business & Economic Statistics, 24(2), 127â161.
Hou, A. J., W. Wang, C. Y. Chen, and W. K. Härdle (2018): âPricing Cryptocurrency Options: The Case of Bitcoin and CRIX,â Available at SSRN: https://ssrn.com/abstract=3159130.
Huang, X., and G. Tauchen (2005): âThe Relative Contribution of Jumps to Total Price Variance,â Journal of Financial Econometrics, 3(4), 456â499.
- IRTG 1792 Discussion Paper Series 2019 For a complete list of Discussion Papers published, please visit http://irtg1792.hu-berlin.de.
Paper not yet in RePEc: Add citation now
- IRTG 1792 Discussion Paper Series 2019 For a complete list of Discussion Papers published, please visit http://irtg1792.hu-berlin.de.
Paper not yet in RePEc: Add citation now
- IRTG 1792, Spandauer Strasse 1, D-10178 Berlin http://irtg1792.hu-berlin.de This research was supported by the Deutsche Forschungsgemeinschaft through the IRTG 1792.
Paper not yet in RePEc: Add citation now
- IRTG 1792, Spandauer Strasse 1, D-10178 Berlin http://irtg1792.hu-berlin.de This research was supported by the Deutsche Forschungsgemeinschaft through the IRTG 1792.
Paper not yet in RePEc: Add citation now
Liu, L. Y., A. J. Patton, and K. Sheppard (2015): âDoes anything beat 5-minute RV? A comparison of realized measures across multiple asset classes,â Journal of Econometrics, 187(1), 293â311.
Mancini, C. (2009): âNon-parametric Threshold Estimation for Models with Stochastic Diffusion Coefficient and Jumps,â Scandinavian Journal of Statistics, 36(2), 270â296.
Mancini, C., and R. Renò (2011): âThreshold Estimation of Markov Models with Jumps and Interest Rate Modeling,â Journal of Econometrics, 160(1), 77â92.
- Nakamoto, S. (2008): âBitcoin: A Peer-to-peer Electronic Cash System,â .
Paper not yet in RePEc: Add citation now
Patton, A. J. (2011): âVolatility Forecast Comparison Using Imperfect Volatility Proxies,â Journal of Econometrics, 160(1), 246â256.
Patton, A. J., and K. Sheppard (2015): âGood volatility, bad volatility: Signed jumps and the persistence of volatility,â Review of Economics and Statistics, 97(3), 683â697.
- Pichl, L., and T. Kaizoji (2017): âVolatility Analysis of Bitcoin Price Time Series,â Quantitative Finance and Economics, 1, 474â485.
Paper not yet in RePEc: Add citation now
- Scaillet, O., A. Treccani, and C. Trevisan (2018): âHigh-Frequency Jump Analysis of the Bitcoin Market*,â Journal of Financial Econometrics.
Paper not yet in RePEc: Add citation now
Swanson, N. R., and H. White (1997): âForecasting Economic Time Series Using Flexible Versus Fixed Specification and Linear Versus Nonlinear Econometric Models,â International Journal of Forecasting, 13(4), 439â461.
Traian Pele, D., W. Niels, W. K. Härdle, M. Kolossiatis, and Y. Yatracos (2019): âPhenotypic convergence of cryptocurrencies,â IRTG 1792 Discussion Paper.
Trimborn, S., and W. K. Härdle (2018): âCRIX an Index for Cryptocurrencies,â Journal of Empirical Finance, 49, 107â122.
Urquhart, A., and H. Zhang (2019): âIs Bitcoin a Hedge or Safe Haven for Currencies? an Intraday Analysis,â International Review of Financial Analysis, 63, 49â57.
- Yermack, D. (2015): âIs Bitcoin a Real Currency? an Economic Appraisal,â in Handbook of digital currency, pp. 31â43. Elsevier.
Paper not yet in RePEc: Add citation now
- Zhang, L. (2006): âEfficient Estimation of Stochastic Volatility Using Noisy Observations: A Multi-scale Approach,â Bernoulli, 12(6), 1019â1043.
Paper not yet in RePEc: Add citation now
- Zhang, L., P. A. Mykland, and Y. Aït-Sahalia (2005): âA Tale of Two Time Scales,â Journal of the American Statistical Association, 100(472), 1394â1411.
Paper not yet in RePEc: Add citation now