Open Access
| Issue |
SHS Web Conf.
Volume 135, 2022
International Conference on Entrepreneurial Competencies in a Changing World (ECCW 2021)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 8 | |
| Section | Stabilization and Development of SMEs in Rural Areas | |
| DOI | https://doi.org/10.1051/shsconf/202213501016 | |
| Published online | 10 February 2022 | |
- P. Růčková. Finanční analýza. Praha: Grada Publishing a. s. ISBN 987-80-271-2028-4 (2019) [Google Scholar]
- B. Graham. Inteligentní investor. Praha: Grada Publishing a. s. ISBN 978-80-247-1792-0 (2007) [Google Scholar]
- D. Gladiš. Akciové investice. Praha: Grada Publishing a. s. ISBN 978-80-247-5375-1 (2015) [Google Scholar]
- D. Gladiš. Naučte se investovat. Praha: Grada Publishing a. s. ISBN 80-247-1205-9 (2005) [Google Scholar]
- Rejnuš, O., 2014. Finanční trhy. Praha: Grada Publishing a. s. ISBN 987-80-247-3671-6 (2014) [Google Scholar]
- P. Syrový. Investování pro začátečníky. Praha: Grada Publishing a. s. ISBN 978-80-271-0092-7 (2016) [Google Scholar]
- D. Štýbr. Začínáme investovat a obchodovat na kapitálových trzích. Praha: Grada Publishing a. s. ISBN 987-80247-3648-8 (2011) [Google Scholar]
- P. Podhajský, T. Nesnídal. Obchodování na komoditních trzích: průvodce spekulanta. Praha: Grada Publishing a. s. ISBN 80-247-1851-0 (2006) [Google Scholar]
- O. Hartman. Začínáme na burze. Praha: Grada Publishing a. s. ISBN 987-80-265-0780-2 (2018) [Google Scholar]
- J. Václavíček. E – Milionář. Praha: Grada Publishing a. s. ISBN 987-80-7252-220-0 (2008) [Google Scholar]
- A. Picasso, S. Merello, Y. Ma, L. Oneto, E Cambria. Technical analysis and sentiment embeddings for market trend prediction. Expert Systems with Applications. 135, 60–70 doi:10.1016/j.eswa.2019.06.014 (2019) [CrossRef] [Google Scholar]
- D. P. Gandhmal, K. Kumar. Systematic analysis and review of stock market prediction techniques. Computer Science Review. 34 doi:10.1016/j.cosrev.2019.08.001 (2019) [Google Scholar]
- D. Shah, H. Isah, F. Zulkernine, F., 2019. Stock market analysis: A review and taxonomy of prediction techniques. International Journal of Financial Studies. 7(2) doi:10.3390/ijfs7020026 (2019) [CrossRef] [Google Scholar]
- B. Weng, L. Lu, X. Wang, F. M. Megahed, W. Martinez. Predicting short-term stock prices using ensemble methods and online data sources. Expert Systems with Applications. 112, 258–273 doi:10.1016/j.eswa.2018.06.016 (2018) [CrossRef] [Google Scholar]
- G. Kumar, S. Jain, U. P. Singh. Stock Market Forecasting Using Computational Intelligence: A Survey. Archives of Computational Methods in Engineering. 28(6) doi:10.1007/s11831-020-09413-5 (2020) [Google Scholar]
- W. Wang, L. Weizi, Z. Ning, L. Kecheng. Portfolio formation with preselection using deep learning from long-term financial data. Expert Systems with Applications. 143 doi:10.1016/j.eswa.2019.113042 (2019) [Google Scholar]
- K. Li, P. Mohanram. Fundamental Analysis: Combining the Search for Quality with the Search for Value. Contemporary Accounting Research. 36, 1263–1298 doi:10.1111/1911-3846.12466 (2019) [CrossRef] [Google Scholar]
- K. S. K. Lam, L. Dong, B. Yu. Value premium and technical analysis: Evidence from the China stock market. Economies. 7(3) doi:10.3390/economies7030092 (2019) [Google Scholar]
- O. Bustos, A. Pomares-Quimbaya. Stock market movement forecast: A Systematic review. Expert Systems with Applications. 156 doi:10.1016/j.eswa.2020.113464 (2020) [CrossRef] [Google Scholar]
- J.-N. Wang, H.-CH. Liu, J. Du, Y.-T. Hsu. Economic benefits of technical analysis in portfolio management: Evidence from global stock markets. International Journal of Finance and Economics. 24(2), 890–902 doi:10.1002/ijfe.1697 (2019) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.