Multi-perspective option price forecasting combining parametric and non-parametric pricing models with a new dynamic ensemble framework
| Year of publication: |
2024
|
|---|---|
| Authors: | Guo, Jingjun ; Kang, Weiyi ; Wang, Yubing |
| Published in: |
Technological forecasting and social change : an international journal. - Amsterdam [u.a.] : Elsevier Science, ISSN 0040-1625, ZDB-ID 2015184-6. - Vol. 204.2024, Art.-No. 123429, p. 1-23
|
| Subject: | Artificial intelligence algorithm | Deep learning | Dynamic ensemble | Options price forecasting | Options pricing | Parameter optimization | Optionspreistheorie | Option pricing theory | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Algorithmus | Algorithm | Mathematische Optimierung | Mathematical programming |
-
Deep learning for solving dynamic economic models.
Maliar, Lilia, (2021)
-
Qu, Zongxi, (2023)
-
Hajizadeh, Ehsan, (2020)
- More ...
-
Xie, Yan, (2025)
-
Multi-Perspective Crude Oil Price Forecasting with a New Decomposition-Ensemble Framework
Guo, Jingjun, (2022)
-
A Novel Multivariate Decomposition Ensemble Model with News Text for Crude Oil Price Forecasting
Zhao, Zhengling, (2022)
- More ...