Can a self-exciting jump structure better capture the jump behavior of cryptocurrencies? : a comparative analysis with the S&P 500
Year of publication: |
2024
|
---|---|
Authors: | Chen, Yan ; Zhang, Lei ; Bouri, Elie |
Published in: |
Research in international business and finance. - Amsterdam [u.a.] : Elsevier, ISSN 0275-5319, ZDB-ID 2165501-7. - Vol. 69.2024, Art.-No. 102277, p. 1-18
|
Subject: | Bayesian estimation | Cryptocurrency | S&P 500 | Self-exciting jumps | Stochastic volatility | Volatilität | Volatility | Virtuelle Währung | Virtual currency | Stochastischer Prozess | Stochastic process | Bayes-Statistik | Bayesian inference | Schätztheorie | Estimation theory |
-
Estimating stochastic volatility and jumps using high-frequency data and Bayesian methods
Fičura, Milan, (2016)
-
Huang, Jing-Zhi, (2021)
-
Regime changes in Bitcoin GARCH volatility dynamics
Ardia, David, (2019)
- More ...
-
Co-Bubble transmission across clean and dirty cryptocurrencies : network and portfolio analysis
Chen, Yan, (2024)
-
Time-varying jump intensity and volatility forecasting of crude oil returns
Zhang, Lei, (2024)
-
Co-jump dynamicity in the cryptocurrency market : a network modelling perspective
Zhang, Lei, (2023)
- More ...