Open Access
SHS Web Conf.
Volume 129, 2021
The 21st International Scientific Conference Globalization and its Socio-Economic Consequences 2021
Article Number 03011
Number of page(s) 9
Section Financial Management and Financial Markets
Published online 16 December 2021
  1. Almehmadi, A. (2021). COVID-19 pandemic data predict the stock market. Computer Systems Science and Engineering, 36(3), 451-460. [CrossRef] [Google Scholar]
  2. Al-qudah, A. A., & Houcine, A. (2021) Stock markets’ reaction to COVID-19: Evidence from the six WHO regions. Journal of Economic Studies. [Google Scholar]
  3. Alshammari, A. A., Altarturi, B., Saiti, B., & Munassar, L. (2020). The impact of exchange rate, oil price and gold price on the Kuwaiti stock market: A wavelet analysis. European Journal of Comparative Economics, 17(1), 31-54. [Google Scholar]
  4. Appiah, M., Frowne, D. Y. I., & Tetteh, D. (2020). Capital market and financial development on growth: a panel ARDL analysis. Indonesian Capital Market Review, 12(1), 28-41. [CrossRef] [Google Scholar]
  5. Bora, D., & Basistha, D. (2021). The outbreak of COVID-19 pandemic and its impact on stock market volatility: Evidence from a worst-affected economy. Journal of Public Affairs, Article e2623. [Google Scholar]
  6. Burza cenných papírů Praha [Prague Stock Market]. (2021, April). Prague Stock Exchange. [Google Scholar]
  7. Burza cenných papírů Praha [Prague Stock Market]. (2021, December). Český akciový index PX letos klesl o osm procent na 1027 bodů [The Czech PX stock index fell eight percent this year to 1,027 points]. [Google Scholar]
  8. Česká bankovní asociace [Czech Bank association]. (February, 2021). Makroekonomická prognóza ČBA za únor 2021 [CBA macroeconomic forecast for February 2021]. [Google Scholar]
  9. (2021, March). Vývoj na finančních trzích [Developments in financial markets]. [Google Scholar]
  10. Reuse, S., & Svoboda, M. (2017). Czech PX-TR - derivation of historical data for the performance index and analysis of two trading strategies. (2017). 11th International Scientific Conference on Financial Management of Firms and Financial Institutions, Czech republic, 723–731. [Google Scholar]
  11. Dias, R., Pardal, P., Teixeira, N., & Machová, V. (2020). Financial market integration of ASEAN-5 with China. Littera Scripta, 13(1), 46-63. [Google Scholar]
  12. Finance v praxi [Finance in practice]. (2019, January). Výnosy českých akcií v roce 2019 [Yields on Czech shares in 2019]. [Google Scholar]
  13. (2021). index PX. [Google Scholar]
  14. (2021, February). České akcie zatím nesmazaly ztráty z doby pandemické paniky [Czech shares have not yet erased losses from the time of the pandemic panic]. [Google Scholar]
  15. Gu, Y., & Yamashita, N. (2021). An alternating direction method of multipliers with the BFGS update for structured convex quadratic optimization. Computational and Applied Mathematics, 40(3), Article 81. [Google Scholar]
  16. Gubareva, M., & Chondrogiannis, I. (2020). Capital gains sensitivity of us BBB-rated debt to US treasury market: Markov-Switching Analyses. Complexity, 1–13. [CrossRef] [Google Scholar]
  17. Horníková, M. (2003). Modeling the Behavior of Prague Stock Exchange Index. [Google Scholar]
  18. Janková, Z. (2019). Comparison of portfolios using markowitz and downside risk theories on the czech stock market. Prague University of Economics and Business. [Google Scholar]
  19. Liu, S., & Yang, D. (2021). Identification and detection algorithm of electric energy disturbance in microgrid based on wavelet analysis and neural network. EURASIP Journal on Wireless Communications and Networking, 2021(1), Article 27. [Google Scholar]
  20. Lu, B. T., Ma, F., Wang, J. Q., Ding, H., & Wahab, M. I. M. (2021). Harnessing the decomposed realized measures for volatility forecasting: Evidence from the US stock market. International Review of Economics & Finance, 72, 672–689. [CrossRef] [Google Scholar]
  21. Majerová, J., & Fernandez, C. (2020). How to make phoenix to arise from the ashes: Brand loyalty as a prospective pillar of branding in tourism after crisis COVID-19. Littera Scripta, 13(2), 49-58. [Google Scholar]
  22. Šuleř, P., Horák, J., & Krulický, T. (2020). Validation of the prediction of ČEZ stock prices. Littera Scripta, 13(1), 194-210. [Google Scholar]
  23. Vochozka, M., Horák, J., & Šuleř, P. (2019) Equalizing seasonal time series using artificial neural networks in predicting the Euro-Yuan exchange rate. Journal of Risk and Financial Management, 12(2), Article 76. [CrossRef] [Google Scholar]
  24. Vochozka, M., Horák, J., & Krulický, T. (2020). Innovations in management forecast: Time development of stock prices with neural networks. Marketing and Management of Innovations, 2, 324–339. [CrossRef] [Google Scholar]
  25. Yilanci, V., Ozgur, O., & Gorus, M. S. (2021). Stock prices and economic activity nexus in OECD countries: New evidence from an asymmetric panel Granger causality test in the frequency domain. Financial Innovation, 7(1), Article 11. [CrossRef] [Google Scholar]

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