A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting-Reference-Cited by-同舟云学术

A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting

Published:2022-03-10 Issue:4 Volume:54 Page:3357-3374
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Kirisci Melih,Cagcag Yolcu Ozge^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-10767-z.pdf

Reference55 articles.

1. Krollner B, Vanstone B, Finnie G (2010) Financial time series forecasting with machine learning techniques: a survey. In: Proceedings of the 18th European symposium on artificial neural networks - computational intelligence and machine learning, ESANN 2010

2. Cavalcante RC, Brasileiro RC, Souza VLF et al (2016) Computational intelligence and financial markets: a survey and future directions. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2016.02.006

3. Wang NY, Chen SM (2009) Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2007.12.013

4. Liao Z, Wang J (2010) Forecasting model of global stock index by stochastic time effective neural network. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2009.05.086

5. Kara Y, Acar Boyacioglu M, Baykan ÖK (2011) Predicting direction of stock price index movement using artificial neural networks and support vector machines: the sample of the Istanbul Stock Exchange. Expert Syst Appl. https://doi.org/10.1016/j.eswa.2010.10.027

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM;Information Sciences;2024-09

2. Predicting carbon and oil price returns using hybrid models based on machine and deep learning;Intelligent Systems in Accounting, Finance and Management;2024-06

3. FEDAF: frequency enhanced decomposed attention free transformer for long time series forecasting;Neural Computing and Applications;2024-05-25

4. Seeing is believing: Forecasting crude oil price trend from the perspective of images;Journal of Forecasting;2024-05-19

5. SCARNet: using convolution neural network to predict time series with time-varying variance;Multimedia Tools and Applications;2024-05-13