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1 Ergebnisse
1
Empirical Study on Multi-Factor Quantitative Stock Selectio..:
, In:
2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)
,
Zhang, Chengzhao
- p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICCCBDA61447.2024.10569485
RT T1 <cTitle>2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)</cTitle>: T1 <Title>Empirical Study on Multi-Factor Quantitative Stock Selection Model Based on Support Vector Machine</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10569485&Exemplar=1&LAN=DE A1 Zhang, Chengzhao YR 2024 SN 2832-3734 K1 Support vector machines K1 Training K1 Analytical models K1 Computational modeling K1 Predictive models K1 Data models K1 Timing K1 machine learning K1 multi-factor model K1 quantitative investment K1 SVM SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICCCBDA61447.2024.10569485 DO https://doi.org/10.1109/ICCCBDA61447.2024.10569485 SF ELIB - SuUB Bremen
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