Volatility cascades in cryptocurrency trading

Journal of Empirical Finance - Tập 62 - Trang 252-265 - 2021
Nikola Gradojevic1,2, Ilias Tsiakas1
1University of Guelph, Ontario, Canada
2Faculty of Technical Sciences, University of Novi Sad, Serbia

Tài liệu tham khảo

Adcock, 2019, Non-fundamental, non-parametric Bitcoin forecasting, Physica A, 531, 10.1016/j.physa.2019.121727

Andersen, 2001, The distribution of realized exchange rate volatility, J. Amer. Statist. Assoc., 96, 42, 10.1198/016214501750332965

Ardia, 2019, Regime changes in Bitcoin GARCH volatility dynamics, Finance Res. Lett., 29, 266, 10.1016/j.frl.2018.08.009

Auer, 2018, Regulating cryptocurrencies: Assessing market reactions, BIS Q. Rev., September 2018, 51

Bacry, 2008, Continuous cascade models for asset returns, J. Econom. Dynam. Control, 32, 156, 10.1016/j.jedc.2007.01.024

Bhambhwani, S.M., Delikouras, S., Korniotis, G.M., 2020. Blockchain characteristics and the cross-section of cryptocurrency returns. SSRN working paper 3342842.

Borri, 2019, Conditional tail-risk in cryptocurrency markets, J. Empir. Financ., 50, 1, 10.1016/j.jempfin.2018.11.002

Borri, N., Shakhnov, K., 2020a. The cross-section of cryptocurrency returns. SSRN working paper 3241485.

Borri, 2020, Regulation spillovers across cryptocurrency markets, Finance Res. Lett., 36, 10.1016/j.frl.2019.101333

Bouri, 2019, Trading volume and the predictability of return and volatility in the cryptocurrency market, Finance Res. Lett., 29, 340, 10.1016/j.frl.2018.08.015

Bouri, 2020, Do Bitcoin and other cryptocurrencies jump together?, Q. Rev. Econom. Finance, 76, 396, 10.1016/j.qref.2019.09.003

Briere, 2015, Virtual currency, tangible return: Portfolio diversification with Bitcoin, J. Asset Manag., 16, 365, 10.1057/jam.2015.5

Brownlees, 2006, Financial econometric analysis at ultra-high frequency: Data handling concerns, Comput. Statist. Data Anal., 51, 2232, 10.1016/j.csda.2006.09.030

Calvet, 2002, Multifractality in asset returns: Theory and evidence, Rev. Econ. Stat., 84, 381, 10.1162/003465302320259420

Celeste, 2020, Fractal dynamics and wavelet analysis: Deep volatility and return properties of Bitcoin, Ethereum and Ripple, Q. Rev. Econom. Finance, 76, 310, 10.1016/j.qref.2019.09.011

Charfeddine, 2020, Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors, Econ. Model., 85, 198, 10.1016/j.econmod.2019.05.016

Corsi, 2009, A simple approximate long-memory model of realized volatility, J. Financ. Econometrics, 7, 174, 10.1093/jjfinec/nbp001

Crouse, 1998, Wavelet-based statistical signal processing using hidden Markov models, IEEE Trans. Signal Process., 46, 886, 10.1109/78.668544

Dyhrberg, 2016, Bitcoin, gold and the dollar − A GARCH volatility analysis, Finance Res. Lett., 16, 85, 10.1016/j.frl.2015.10.008

Easley, 2019, From mining to markets: The evolution of Bitcoin transaction fees, J. Financ. Econ., 134, 91, 10.1016/j.jfineco.2019.03.004

Eisl, A., Gasser, S.M., Weinmayer, K., 2020. Caveat emptor: Does Bitcoin improve portfolio diversification? SSRN working paper 2408997.

Gençay, 2010, Asymmetry of information flow between volatilities across time scales, Quant. Finance, 10, 895, 10.1080/14697680903460143

Gronwald, 2019, Is Bitcoin a commodity? On price jumps, demand shocks, and certainty of supply, J. Int. Money Finance, 97, 86, 10.1016/j.jimonfin.2019.06.006

Hafner, 2020, Testing for bubbles in cryptocurrencies with time-varying volatility, J. Financ. Econometrics, 18, 233

Hu, 2019, Cryptocurrencies: Stylized facts on a new investible instrument, Financ. Manage., 48, 1049, 10.1111/fima.12300

Kang, 2019, Co-movements between Bitcoin and Gold: A wavelet coherence analysis, Physica A, 536, 10.1016/j.physa.2019.04.124

Katsiampa, 2017, Volatility estimation for Bitcoin: A comparison of GARCH models, Econom. Lett., 158, 3, 10.1016/j.econlet.2017.06.023

Klein, 2018, Bitcoin is not the New Gold - A comparison of volatility, correlation, and portfolio performance, Int. Rev. Financ. Anal., 59, 105, 10.1016/j.irfa.2018.07.010

Kristoufek, 2015, What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis, PLoS One, 10, 10.1371/journal.pone.0123923

Liu, 2020, Common risk factors in the returns on cryptocurrencies, Econ. Model., 86, 299, 10.1016/j.econmod.2019.09.035

Makarov, 2020, Trading and arbitrage in cryptocurrency markets, J. Financ. Econ., 135, 293, 10.1016/j.jfineco.2019.07.001

Mandelbrot, 1963, The variation of certain speculative prices, J. Bus., 36, 394, 10.1086/294632

Mandelbrot, 1997

Müller, 1997, Volatilities of different time resolutions - Analyzing the dynamics of market components, J. Empir. Financ., 4, 213, 10.1016/S0927-5398(97)00007-8

Panagiotidis, 2018, On the determinants of Bitcoin returns: A LASSO approach, Finance Res. Lett., 27, 235, 10.1016/j.frl.2018.03.016

Scaillet, 2020, High-frequency jump analysis of the Bitcoin market, J. Financ. Econometrics, 18, 209

Segnon, 2020, Forecasting volatility in Bitcoin market, Ann. Finance, 16, 435, 10.1007/s10436-020-00368-y

Trimborn, 2018, CRIX an index for cryptocurrencies, J. Empir. Financ., 49, 107, 10.1016/j.jempfin.2018.08.004

Trimborn, 2020, Investing with cryptocurrencies - A liquidity constrained investment approach, J. Financ. Econometrics, 18, 280, 10.1093/jjfinec/nbz016

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Journal of Empirical Finance

Tập 62

252-265

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