Authors: O. Udodenko, PhD Student, ORCID iD 0000-0001-7036-676X, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine; ; Д. D. Dovgopoly, MBA, ORCID iD 0000-0002-8479-2986, International Institute of Management, Kyiv, Ukraine; V. Ivanenko, PhD Student, ORCID iD 0000-0002-1212-898X, Taras Shevchenko National University, Kyiv, Ukraine

Annotation: Venture industry itself is risky, full of surprises and requires attention. Information is a new air, but it can be used in different ways, and sometimes might be harmful for the market. COVID-19 is a perfect example that happened only half a year ago: internet and media were overdosed with materials predicting the future of all VC industry and startups market.  Continue reading →

Authors: A. Stavytskyy, Dr. of Sci. (Economics), Assoc. Prof., ORCID iD 0000-0002-5645-6758; V. Taraba, Economist, ORCID iD 0000-0002-5265-8571, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

Annotation: The article analyzes the profitability of technical analysis methods for the seven stock indices during the last ten years. According to the analysis, the profitability of technical analysis has increased recently due to changes in market conditions. However, the efficiency of technical analysis methods was much lower during 2010-2018. The analysis showed that technical analysis methods demonstrated best results on the Chinese, Indian, and Hong Kong stock indices, the worst – on the American, European, and Japanese stock indices. However, the stability of these methods is quite low: their profitability varies greatly with the change of the sample. The issue of aggregation of technical analysis signals and ARIMA-model signals is also considered in this paper. The optimal parameters for the technical analysis methods were selected by testing on historical data; optimal ARIMA models were selected for each index. For 3 out of 7 indices the optimal model is WN (white noise). Most technical analysis methods showed poor results on the American (S&P 500) and European (Euronext 100) stock indices (except for the last two years). The results can be used to develop trading strategies. Continue reading →

Authors: N. Prykaziuk, Dr. of Science (Economics), Assoc. Prof., ORCID iD 0000-0002-7813-8590; A. Tkachenkо, ORCID iD 000-0003-4471-5238, PhD Student, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Annotation: The paper suggests a methodical approach to assessing the life insurance companies’ competitiveness, which is based on a combination of ranking and radar methods. The algorithm for such an assessment is developed, which covers seven progressive stages. The respective calculations revealed the most competitive life insurance companies currently existing in Ukraine.  Continue reading →

Authors: Y. Petlenko, PhD (Economics), Assoc. Prof., ORCID iD 0000-0001-5984-5145; V. Milanchenko, economist, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

Annotation: The article is sanctified to determination of basic tendencies and estimation of efficiency of financial decentralization in Ukraine. Preconditions and different forms financial decentralization, which are constituent of process the government management sent to the increase of financial independence local government from central government.  Continue reading →

Authors: K. Lawler, Prof., ORCID iD 0000-002-3409-6755, University of Kuwait, Kuwait; A. Moscardini, Visiting Prof.
ORCID iD 0000-0003-4951-0848, University of Cardiff, UK; I. Pavlenko, Prof., ORCID iD 0000-0002-5687-778X, University of Warsaw, Poland; T. Vlasova, Visiting Research Fellow, ORCID iD 0000-0002-5000-6756, Northumbria University, UK.

Abstract: This paper develops a detailed case study of the Phillips Curve as it has evolved since Phillips classic work of 1958. An explicit narrative in the paper involves the evolution of the argument using economics and systems thinking, to develop underlying data generating models. These are shown to underpin the inverse relationship between inflation and unemployment in economics.  Continue reading →

Authors: H. Bachev, Dr. of Science (Economics), Prof., ORCID 0000-0003-0555-7468, Institute of Agricultural Economics, Sofia, Bulgaria; A. Kharlamova, PhD in Economics, Associate Professor, ORCID 0000-0003-3614-712, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Abstract: A need to include “the fourth” Governance pillar in the concept for understanding and the assessment system of (overall and) agrarian sustainability is increasingly justified in academic literature and finds place in the frameworks of government, international, private, etc. organizations.  Continue reading →