Improving the realized GARCH's volatility forecast for Bitcoin with jump-robust estimators
Year of publication: |
2020
|
---|---|
Authors: | Hung, Jui-Cheng ; Liu, Hung-Chun ; Yang, Jimmy J. |
Published in: |
The North American journal of economics and finance : a journal of financial economics studies. - Amsterdam [u.a.] : Elsevier, ISSN 1062-9408, ZDB-ID 1289278-6. - Vol. 52.2020, p. 1-11
|
Subject: | Bitcoin | Realized GARCH model | Jump-robust realized measure | Realized bi-power variation | Realized tri-power variation | ARCH-Modell | ARCH model | Volatilität | Volatility | Schätztheorie | Estimation theory | Virtuelle Währung | Virtual currency | Schätzung | Estimation |
-
Volatility estimation for cryptocurrencies using Markov-switching GARCH models
Silva, Paulo Vitor Jordão da Gama, (2019)
-
Volatility Dynamics of Cryptocurrencies’ Returns : An Econometric Study
Dangi, Vandana, (2021)
-
Causality and dynamic spillovers among cryptocurrencies and currency markets
Elsayed, Ahmed H., (2022)
- More ...
-
Estimation of value-at-risk for energy commodities via fat-tailed GARCH models
Hung, Jui-cheng, (2008)
-
Liu, Hung-Chun, (2010)
-
Trading activity and price discovery in Bitcoin futures markets
Hung, Jui-Cheng, (2021)
- More ...