Open Access
| Issue |
SHS Web Conf.
Volume 39, 2017
Innovative Economic Symposium 2017 (IES2017)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 8 | |
| Section | Strategic Partnerships in International Trade | |
| DOI | https://doi.org/10.1051/shsconf/20173901007 | |
| Published online | 06 December 2017 | |
- D. Walterová, M. Vochozka, Š. Bendová, The Subprime Mortgage and Bank Crisis in the Financial Market. Littera Scripta, 2(1), 95–108 (2009) [Google Scholar]
- X. Li, H. Zhao, K. Zheng, S. Sun, A DFS Model for Forecasting Stock Price. Proceedings of the 2nd Workshop on Advanced Research and Technology in Industry Applications, Dalian, China, 81, 1678–1683 (2016) [Google Scholar]
- Y. Ch. Wang, T. N. Nguyen, Forecasting Stock Prices for an Emerging Market: A Case of Vietnam. Proceedings of the 2nd International Conference on Finance and Economics, Ho Chi Minh City, Vietnam, 190–200 (2015) [Google Scholar]
- Ch. Wu, P. Luo, Y. Li, K. Chen, Stock Price Forecasting: Hybrid Model of Artificial Intelligent Methods. Engineering Economics, 26(1), (2015) [Google Scholar]
- M. F. Anaghi, Y. Norouzi, A Model for Stock Price Forecasting Based on ARMA Systems. Proceedings of the 2nd International Conference on Advances in Computational Tools for Engineering Applications, Zouk Mosbeh, Lebanon, 265–268 (2012) [Google Scholar]
- Y. S. Lu, J.L. Zhang, Forecasting stock price by SVMs regression. Proceedings of the 11th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, Varna, Bulgaria, 3192, 295–303 (2004) [CrossRef] [Google Scholar]
- P. F. Pai, Ch. S. Lin, A hybrid ARIMA and support vector machines model in stock price forecasting. Omega – International Journal of Management Science, 33(6), 497–505 (2005) [CrossRef] [Google Scholar]
- P. H. B.F Franses, The Econometric Modelling of Financial Time Series. International Journal of Forecasting, 16(3), 426–427 (2000) [CrossRef] [Google Scholar]
- A. B. Sánchez, C. Ordóñez, F. S. Lasheras, F. De Cos Juez and J. Roca-Pardiñas, Forecasting SO 2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models. Abstract and Applied Analysis, (2013) [Google Scholar]
- J. Junttila, Structural breaks, ARIMA model and Finnish inflation forecasts. International Journal of Forecasting, 17(2), 203–230 (2001) [CrossRef] [Google Scholar]
- G. Mélard, J. M. Pasteels, Automatic ARIMA modeling including interventions, using time series expert software. International Journal of Forecasting, 16(4), 497–508 (2000) [CrossRef] [Google Scholar]
- ČEZ, 2017, ČEZ, a.s. – about company [online], Available at: https://www.cez.cz/cs/o-spolecnosti/cez/profil-spolecnosti.html (2017) [Google Scholar]
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