Open Access
| Issue |
SHS Web Conf.
Volume 61, 2019
Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 10 | |
| Section | Strategic Partnerships in International Trade | |
| DOI | https://doi.org/10.1051/shsconf/20196101012 | |
| Published online | 30 January 2019 | |
- M. Sheikhan, N. Mohammadi, Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data: revue littéraire mensuelle. Neural Computing and Applications, 23(3-4), 1185-1194, (2013) [CrossRef] [Google Scholar]
- S. De Baets, N. Harvey, Forecasting from time series subject to sporadic perturbations:Effectiveness of different types of forecasting support. International Journal of Forecasting, 34(2), 163-180, (2018) [CrossRef] [Google Scholar]
- A. León-Álvarez, J. Betancur-Gómez, F. Jaimes-Barragán, H. Grisales-Romero, Ronda clínica y epidemiológica. Series de tiempo. IATREIA, 29(3), (2016) [Google Scholar]
- M. Vochozka, Formation of complex company evaluation method through neural networks based on the example of construction companies’ collection. AD ALTA -Journal of Interdisciplinary Research, 7(2), 232-239, (2017) [Google Scholar]
- F. Rodrigues, I. Markou, F. C. Pereira, Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach. Information Fusion, 49, 120-129, (2019) [CrossRef] [Google Scholar]
- P. Rostan, A. Rostan, The versatility of spectrum analysis for forecasting financial time series. Journal of Forecasting, 37(3), 327-339, (2108) [Google Scholar]
- K. Jebran, A. Iqbal, Dynamics of volatility spillover between stock market and foreign exchange market: evidence from Asian Countries. Financial Innovation, 2(1), (2016) [CrossRef] [Google Scholar]
- X. Chen, The Globalization of the Chinese Yuan (CNY) and Its Rising Role in the International Currency System. China and WTO Review, 2(2), 303-320, (2016) [CrossRef] [Google Scholar]
- M. Mandel, V. Quang Tran, Empirická verifikace exportní funkce s akcentem na vliv kurzu české koruny k euru. Politická ekonomie, 65(6), 649-668, (2017) [Google Scholar]
- J. Cimburek, P. Řežábek, Hotovost v oběhu: světové trendy a situace v České republice. Politická ekonomie, 56(6), 739-758, (2008) [CrossRef] [Google Scholar]
- Czech National Bank, Úloha měnové politiky: Úloha měnové politiky ČNB podle zákona o ČNB [online]. Available at:https://www.cnb.cz/cs/menova_politika/uloha.html (2018) [Google Scholar]
- J. A. Frankel, S. J. Wei, L. Goldberg, Assessing China’s exchange rate regime. Economic Policy, 22(51), 576-627, (2007) [CrossRef] [Google Scholar]
- E. Ogawa, M. Sakane, Chinese Yuan after Chinese Exchange Rate System Reform. China and World Economy, 14(6), 39-57, (2006) [Google Scholar]
- C. W. H. Cheong, J. Sinnakkannu, S. Ramasamy, On the predictability of carry trade returns: The case of the Chinese Yuan. Research in International Business and Finance, 39, 358-376, (2017) [CrossRef] [Google Scholar]
- S. Wang, X. Wei, Relationships between exchange rates, economic growth and FDI in China: An empirical study based on the TVP-VAR model. Littera Scripta, 10(1), 166-179, (2017) [Google Scholar]
- G. Ma, R. N Mccauley, The Implications of Renminbi Basket Management for Asian Currency Stability. The Evolving Role of Asia in Global Finance, 97-121, (2011) [CrossRef] [Google Scholar]
- Z. Zhang, K. Sato, Should Chinese Renminbi be Blamed for Its Trade Surplus? A Structural VAR Approach. The World Economy, 35(5), 632-650, (2012) [CrossRef] [Google Scholar]
- Z. Cai, L. Chen, Y. Fang, A New Forecasting Model for USD/CNY Exchange Rate. Studies in Nonlinear Dynamics and Econometrics, 16(3), (2012) [Google Scholar]
- Z. Liu, Z. Zheng, X. Liu, G. Wang, Modelling and Prediction of the CNY Exchange Rate Using RBF Neural Network. 2009 International Conference on Business Intelligence and Financial Engineering, 38-41, (2009) [CrossRef] [Google Scholar]
- World Bank. The World Bank. [online]. Available at: http://www.worldbank.org/ (2018) [Google Scholar]
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