Modeling price and variance jump clustering using the marked Hawkes process
| Year of publication: |
2024
|
|---|---|
| Authors: | Chen, Jian ; Clements, Michael P. ; Urquhart, Andrew |
| Published in: |
Journal of financial econometrics. - Oxford : Oxford University Press, ISSN 1479-8417, ZDB-ID 2065613-0. - Vol. 22.2024, 3, p. 743-772
|
| Subject: | jump clustering | marked Hawkes process | stochastic volatility | high-frequency data | Bayesian inference | Volatilität | Volatility | Stochastischer Prozess | Stochastic process | Bayes-Statistik | Regionales Cluster | Regional cluster | Optionspreistheorie | Option pricing theory | Zeitreihenanalyse | Time series analysis | Börsenkurs | Share price |
-
He, Xin-Jiang, (2024)
-
Fast and accurate variational inference for large Bayesian VARs with stochastic volatility
Chan, Joshua, (2022)
-
Identifying the underlying components of high-frequency data : pure vs jump diffusion processes
Hizmeri, Rodrigo, (2025)
- More ...
-
Forecasting GDP growth rates in the United States and Brazil using Google Trends
Bantis, Evripidis, (2023)
-
Clements, Michael P., (2021)
-
Forecasters' disagreement about how the economy operates, and the role of long-run relationships
Clements, Michael P., (2015)
- More ...