Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine

Authors

  • Oleg Vasiurenko Vice-Rector on Economics, PVNZ, Kyiv Institute of Business and Technology, Ukrainе
  • Vyacheslav Lyashenko Department of Informatics, Kharkiv National University of RadioElectronics, Ukrainе
  • Valeria Baranova Department of Travel Business and Regional Studies, V.N. Karazin Kharkiv National University, Ukraine
  • Zhanna Deineko Department of Software Engineering, Kharkiv National University of RadioElectronics, Ukraine

DOI:

https://doi.org/10.47616/jamrems.v1i2.41

Keywords:

Forex Market, Wavelet Coherence, Currency Pair, Currency Sale

Abstract

The foreign exchange market plays an important role in the formation and development of financial markets. This market is of particular importance for emerging economies. To understand market trends (to understand and develop a strategy for its development), it is necessary to analyze historical data. It is also important to use different methods to carry out this analysis. Based on this, the paper analyzes the foreign exchange market in Ukraine for the period 2014-2018. For this analysis, the wavelet coherence methodology is used. This made it possible to assess the development of the foreign exchange market in Ukraine.

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References

Aloui, C., & Hkiri, B. (2014). Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis. Economic Modelling, 36, 421-431.

Aloui, C., Hkiri, B., Hammoudeh, S., & Shahbaz, M. (2018). A Multiple and Partial Wavelet Analysis of the Oil Price, Inflation, Exchange Rate, and Economic Growth Nexus in Saudi Arabia. Emerging Markets Finance and Trade, 54(4), 935-956.

Dahir, A. M., Mahat, F., Ab Razak, N. H., & Bany-Ariffin, A. N. (2018). Revisiting the dynamic relationship between exchange rates and stock prices in BRICS countries: A wavelet analysis. Borsa Istanbul Review, 18(2), 101-113.

Dobrovolskaya, I., & Lyashenko, V. (2013). Interrelations of banking sectors of European economies as reflected in separate indicators of the dynamics of their cash flows influencing the formation of the resource potential of banks. European Applied Sciences, 1-2, 114-118.

Kuzemin, A., Lуashenko, V., Bulavina, E., & Torojev, A. (2005). Analysis of movement of financial flows of economical agents as the basis for designing the system of economical security (general conception). In Third international conference «Information research, applications, and education, 27-30.

Lyashenko, V. (2014). Efficiency of bank crediting of real sector of economy in the context of separate banking groups: an empirical example from Ukraine. International Journal of Accounting and Economics Studies, 2(2), 74–79.

Rua, A., & Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16(4), 632-639.

Torrence, C., & Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of climate, 12(8), 2679-2690.

Uddin, G. S., Tiwari, A. K., Arouri, M., & Teulon, F. (2013). On the relationship between oil price and exchange rates: A wavelet analysis. Economic Modelling, 35, 502-507.

Vasiurenko, O., & Lyashenko, V. (2020). Wavelet coherence as tool for retrospective analysis of bank activities. Ekon. Prognozuvannâ, 2, 43-60.

Yang, L., Cai, X. J., Zhang, H., & Hamori, S. (2016). Interdependence of foreign exchange markets: A wavelet coherence analysis. Economic Modelling, 55, 6-14.

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Published

2020-11-02

How to Cite

Vasiurenko, O. ., Lyashenko, V. ., Baranova, V. ., & Deineko, Z. . (2020). Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine. Journal of Asian Multicultural Research for Economy and Management Study, 1(2), 1-6. https://doi.org/10.47616/jamrems.v1i2.41