Binary gravity search algorithm and support vector machine for forecasting and trading stock indices
| Year of publication: |
2023
|
|---|---|
| Authors: | Kang, Haijun ; Zong, Xiangyu ; Wang, Jianyong ; Chen, Haonan |
| Published in: |
International review of economics & finance : IREF. - Amsterdam [u.a.] : Elsevier, ISSN 1059-0560, ZDB-ID 1137476-7. - Vol. 84.2023, p. 507-526
|
| Subject: | Binary gravity search algorithm | Finance | Forecasting | Stock indices | Support vector machine | Mustererkennung | Pattern recognition | Prognoseverfahren | Forecasting model | Aktienindex | Stock index | Algorithmus | Algorithm | Theorie | Theory | Prognose | Forecast |
-
Mahmoodi, Armin, (2023)
-
Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN and ARIMA-random forest hybrid models
Kumar, Manish, (2014)
-
Lu, Hongfang, (2019)
- More ...
-
Kang, Haijun, (2025)
-
Nonlinear Relationships in Soybean Commodities Pairs Tradingļ¼Test by Deep Reinforcement Learning
Liu, Bruce Jianhe, (2023)
-
Complexity economic indexes for the energy market : evidence during extreme global changes
Song, Pengcheng, (2021)
- More ...