Open Access
Issue |
SHS Web Conf.
Volume 91, 2021
Innovative Economic Symposium 2020 – Stable Development in Unstable World (IES2020)
|
|
---|---|---|
Article Number | 01041 | |
Number of page(s) | 11 | |
Section | Stable Development in Unstable World | |
DOI | https://doi.org/10.1051/shsconf/20219101041 | |
Published online | 14 January 2021 |
- M. Vochozka, J. Horak, T. Krulicky, Innovations in management forecast: Time development of stock prices with neural networks. Marketing and Management of Innovations, 2020(2), 324-339 (2020). [CrossRef] [Google Scholar]
- P. Suler, J. Horak, T. Krulicky, Validation of the prediction of ČEZ stock prices. Littera Scripta, 13(1), 194-210 (2020). [CrossRef] [Google Scholar]
- J. Vrbka, Z. Rowland, Stock price development forecasting using neural networks. SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade (2017). [Google Scholar]
- B. Groda, J. Vrbka, Prediction of stock price developments using the Box-Jenkins method. SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade (2017). [Google Scholar]
- H. Zhou, Y. He, Y.X. Jin, Modelling for forecasting of pattern recognition - based on comparison and analysis be-tween U.S. stock market and Chinese stock markets. Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling, 41, pp. 1-5 (2016). [Google Scholar]
- D. Stramirovic, D. Sarvan, V. Miljkovic, S. Blesic, Analysis of cyclical behavior in time series of stock market returns. Communications in Nonlinear Science and Numerical Simulation, 54, 21-33 (2018). [CrossRef] [Google Scholar]
- L.J. Chmielewski, M. Janowicz, A. Orłowski, Advances in intelligent systems and computing. Springer Verlag, 403, pp. 641-647 (2016). [CrossRef] [Google Scholar]
- A. Kolkova, Indicators of technical analysis on the basis of moving averages as prognostic methods in the food industry. Journal of Competitiveness, 10, 102-119 (2018). [CrossRef] [Google Scholar]
- M. Frömmel, K. Lampaert, Does frequency matter for intraday technical trading? Finance Research Letters, 18, 177-183 (2016). [CrossRef] [Google Scholar]
- T. Shalini, S. Pranav, S. Utkarsh, Picking buy-sell signals: A practitioner’s perspective on key technical indicators for selected Indian firms. Studies in Business and Economics, 14, 205-219 (2019). [CrossRef] [Google Scholar]
- V.A. Sobreiro, T.R.C.C. da Costa, R.T.F. Nazario, J.L.E. Silva, E.A. Moreira, M.C. Lima, H. Kimura, J.C.A. Zambrano, The profitability of moving average trading rules in BRICS and emerging stock markets. North American Journal of Economics and Finance, 38, 86-101 (2016). [CrossRef] [Google Scholar]
- P. Marek a B. Sediva, Optimization and testing of RSI. In: Financial management of firms and financial institutions. Ostrava: VŠB-Technical University of Ostrava, Czech Republic, pp. 530-537 (2017). [Google Scholar]
- F. García, F. Guijarro, J. Oliver, R. Tamošiūnienė, Hybrid fuzzy neural network to predict price direction in the German DAX-30 index. Technological and Economic Development of Economy, 24, 2161-2178 (2018). [CrossRef] [Google Scholar]
- B.W. Crowell, Y. Bock, Z. Liu, Single-station automated detection of transient deformation in GPS time series with the relative strength index: A case study of Cascadian slow slip. Journal of Geophysical Research: Solid Earth, 121, 9077-9094 (2016). [CrossRef] [Google Scholar]
- P. Rihova, M. Svoboda, Profitability of selected technical analysis indicators. European Financial Systems 2018: Proceedings of the 15th International Scientific Conference, pp. 591-598 (2018). [Google Scholar]
- I. Podhorska, K. Valaskova, V. Stehel, T. Kliestik, Possibility of company goodwill valuation: Verification in Slovak and Czech Republic. Management & Marketing-Challenges for the Knowledge Society, 14(3), 338-356 (2019). [Google Scholar]
- K. Valaskova, T. Kliestik, L. Svabova, P. Adamko, Financial risk measurement and prediction modelling for sustainable development of business entities using regression analysis. Sustainability, 10(7) (2018). [Google Scholar]
- A. Moreira, T. Muir, Volatility-managed portfolios. Journal of Finance, 72, 1611-1644 (2017). [CrossRef] [Google Scholar]
- S. Basak, A. Pavlova, A model of financialization of commodities. Journal of Finance, 71, 1511-1556 (2016). [CrossRef] [Google Scholar]
- S.R. Baker, N. Bloom, S.J. Davis, Measuring economic policy uncertainty. Quarterly Journal of Economics, 131, 1593-1636 (2016). [CrossRef] [Google Scholar]
- A.R. Arévalo Murillo, Short-term forecasting of financial time series with deep neural networks. Thesis: Ingeniería de Sistemas (2016). [Google Scholar]
- E. Chong, C. Han, F.C. Park, Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies. Expert Systems with Applications, 83, 187-205 (2017). [CrossRef] [Google Scholar]
- The Coca-Cola Company (KO). Yahoo Finance [online]. Available at: https://finance.yahoo.com/quote/KO/history?p=KO (2020). [Google Scholar]
- A. Hayes. Investopedia [online]. New York. Available at: https://www.investopedia.com/terms/d/dowtheory.asp (2019). [Google Scholar]
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