Kostyantyn Stryzhychenko

Work place: Kharkiv National Economical University, Kharkiv, Ukraine

E-mail: strizh@bk.ru


Research Interests: Materials Science


Kostyantyn Stryzhychenko was born in Kharkiv, Ukraine (former USSR) in 1977. He received the M.Sc. degree in economics in 1999, and Ph.D. degree in economics in 2002, from Kharkiv State University of Economics, Kharkiv, Ukraine. Then during 2003-2010 years he hold the position of associated professor in the Economical Cybernetics Department. He has published over 35 papers in refereed journals and conference proceedings referring to financial and macroeconomics forecasting and interrelation of the financial markets. His representative published articles and monographs list is as follows: “Analysis of influence of Russian stock market into Ukrainian stock market” (Lodz, Poland, 2006), “Modeling of the investor behavior onto the stock market” (Kharkiv, Ukraine, 2004), “Modeling of the interrelation of structural elements of financial market” (Kharkiv, Ukraine, 2009), “Investigation of the development tendency of Ukrainian financial market during world financial crisis” (Kharkiv, Ukraine, 2010). His current activity focuses on regulation and forecasting of financial market. His current research interests include evolution theory, chaos theory and nonlinear dynamics.

Author Articles
Investigation of the Wave Nature of the Ukrainian Stock Market

By Olena Rayevnyeva Kostyantyn Stryzhychenko

DOI: https://doi.org/10.5815/ijisa.2012.01.01, Pub. Date: 8 Feb. 2012

In this work we concentrate on the long-term and short term cycles of Ukrainian stock market, being based on the nonlinear approach of the analysis of open systems. First, the paper gives an algorithmic model for the investigation of the nonlinear nature of stock market, which comprises five individual stages. Then, by analyzing the Hurst coefficient for the PFTS index for the Ukrainian stock market it is shown that it is persistent, i.e. contains the fractals. As the results, a parabolic function is used for the approximation of a nonlinear trend in the PFTS series. Moreover, the major tendency of the PFTS index gives the correlation trends of “blue chips”. The elimination of trends and the usage of Fourier analysis allow one to determine the long-term and short-term cycles in the index and shares. Finally, by investigating the weight of the long-term harmonics in the cyclic component of the PFTS index, the stability of Ukrainian stock market is studied in a short-time period. The application of the results involves the forecasting of the crisis points of stock market and proves the effectiveness of shareholders.

[...] Read more.
Other Articles