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All issues Volume 73 (2020) SHS Web Conf., 73 (2020) 01032 References
Open Access
Issue
SHS Web Conf.
Volume 73, 2020
Innovative Economic Symposium 2019 – Potential of Eurasian Economic Union (IES2019)
Article Number 01032
Number of page(s) 14
Section Potential of the Eurasian Economic Union
DOI https://doi.org/10.1051/shsconf/20207301032
Published online 13 January 2020
  1. R. Koszek, Central and Eastern Europe Countries in View of Chinese Economic Expansion. Studies of the Industrial Geography Commission of the Polish Geographical Society, 30(1), 176-191 (2016) [Google Scholar]
  2. Z. Rowland, P. Šuleř, M. Vochozka, Comparison of neural networks and regression time series in estimating the Czech Republic and China trade balance. SHS Web of Conferences: Innovative Economic Symposium 2018 – Milestones and Trends of the World Economy, 61 (2019) [Google Scholar]
  3. J. Vrbka, Z. Rowland, P. Šuleř, Comparison of neural networks and regression time series in estimating the development of the EU and the PRC trade balance. SHS Web of Conferences: Innovative Economic Symposium 2018 – Milestones and Trends of the World Economy, 61 (2019) [Google Scholar]
  4. M.D. Evans, External balances, trade flows and financial conditions. Journal of International Money and Finance, 48, 271-290 (2014) [Google Scholar]
  5. J. Garlick, China’s Trade with Central and Eastern European EU Members: An Analysis of Eurostat Data, 2004-2014. Acta Oeconomica Pragensia, 2015(4), 3-22 (2015) [CrossRef] [Google Scholar]
  6. T. Matura, China–CEE Trade, Investment and Politics. Europe-Asia Studies, 71(3), 388-407 (2019) [CrossRef] [Google Scholar]
  7. I. Šteinbuka, T. Muravska, A. Kuznieks, Cooperation formats of China and Europe: Synergies and divergences. Baltic Journal of European Studies, 7(1), 98-118 (2017) [CrossRef] [Google Scholar]
  8. T. De Castro, Z. Stuchlíková, China-V4 trade relations–a Czech perspective. Current Trends and Perspectives in Development of China – V4 Trade and Investment, pp. 4660 (2014) [Google Scholar]
  9. T. Dudas, M. Dudasova, Growth of Chinese investments in Europe after the global economic crisis of 2008-2009. Economic Annals - ХХІ, (160), 9-14 (2016) [CrossRef] [Google Scholar]
  10. T. Dudas, Dynamic growth of Chinese investments in Europe after the global economic crisis of 2008/2009. 16th International Scientific Conference on International Relations - Current Issues of World Economy and Politics, pp. 236-244 (2015) [Google Scholar]
  11. Z. Pikhart, Cyclical-Adjusted External Balance of Goods and Services in the Czech Republic. Statistika-Statistics and Economy Journal, 98(2), 103-112 (2018) [Google Scholar]
  12. W. Kim, Asset Price, the Exchange Rate, and Trade Balances in China: A Sign Restriction VAR Approach. East Asian Economic Review, 22(3), 371-400 (2018) [CrossRef] [Google Scholar]
  13. M.Y. Chen, M.H. Fan, Y.L. Chen, H.M. Wei, Design of experiments on neural network’s parameters optimization for time series forecasting in stock markets. Neural Network World, 23(4), 369-393 (2013) [CrossRef] [Google Scholar]
  14. F. Ludbrook, K. Frajtová Michalíková, Z. Musová, P. Šuleř, Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making. Journal of Self-Governance and Management Economics, 7 (3),21-26 (2019) [Google Scholar]
  15. V. Machová, J. Mareček, Estimation of the development of Czech Koruna to Chinese Yuan exchange rate using artificial neural networks. SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy, 61 (2019) [Google Scholar]
  16. O. Krpec, V. Hodulák, The Czech economy as an integrated periphery: The case of dependency on Germany. Journal of Post Keynesian Economics, 42(1), 59-89 (2019) [CrossRef] [Google Scholar]
  17. T. Klieštik, J. Vrbka, Z. Rowland, Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis. Equilibrium-Quarterly Journal of Economics and Economic Policy, 13(3),569-593 (2018) [Google Scholar]
  18. M. Vochozka, J. Vrbka, Estimation of the development of the Euro to Chinese Yuan exchange rate using artificial neural networks. SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy, 61 (2019) [Google Scholar]
  19. World Bank [online], Available at: http://www.worldbank.org/(2019) [Google Scholar]
  20. M. Kováčová, T. Klieštik, Logit and Probit application for the prediction of bankruptcy in Slovak companies. Equilibrium-Quarterly Journal of Economics and Economic Policy, 12(4), 775-791 (2017) [Google Scholar]

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