Unveiling the Influencing Factors of Cryptocurrency Return Volatility
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- Asger Lunde & Peter R. Hansen, 2005.
"A forecast comparison of volatility models: does anything beat a GARCH(1,1)?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
- Asger Lunde & Peter Reinhard Hansen, 2001. "A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?," Working Papers 2001-04, Brown University, Department of Economics.
- Kavya Clanganthuruthil Sajeev & Mohd Afjal, 2022. "Contagion effect of cryptocurrency on the securities market: a study of Bitcoin volatility using diagonal BEKK and DCC GARCH models," SN Business & Economics, Springer, vol. 2(6), pages 1-21, June.
- Goodell, John W. & Goutte, Stephane, 2021.
"Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis,"
Finance Research Letters, Elsevier, vol. 38(C).
- John W Goodell & Stéphane Goutte, 2020. "Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis," Working Papers halshs-02613277, HAL.
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Keywords
cryptocurrency; blockchain technology; return volatility; Bitcoin; Ether; XRP; GARCH model;All these keywords.
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