Наукові видання (ННІ БТ)
Permanent URI for this collectionhttps://devessuir.sumdu.edu.ua/handle/123456789/48925
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Item Information asymmetry reduction as a basis for the financial security of the state(Ruda Śląska : Drukarnia i Studio Graficzne Omnidium, 2018) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii LeonidovychІнформаційна асиметрія є важливим і навіть вирішальним елементом фінансової безпеки держави, оскільки породжує неефективність різних аспектів економічної діяльності та економічної системи загалом. Тому зменшення інформаційної асиметрії може підвищити фінансову безпеку держави. Запропоновані методи зменшення інформаційної асиметрії та їх класифікація можуть стати основою для відповідних дій з боку уряду щодо забезпечення фінансової безпеки держави.Item Optimal investment portfolio selection from the largest Ukrainian companies: comparative study of conventional and responsible portfolios(Business Perspectives, 2019) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Макаренко, Інна Олександрівна; Макаренко, Инна Александровна; Makarenko, Inna Oleksandrivna; Єльнікова, Юлія Василівна; Ельникова, Юлия Васильевна; Yelnikova, Yuliia Vasylivna; Bychenko, D.This paper is devoted to the comparing stock portfolios of the largest conventional and responsible Ukrainian companies as the basis for substantiating the structure of an optimal investment portfolio in the current conditions of development of the financial market of Ukraine. The empirical basis of the research was the data of quotations of shares of 6 most liquid conventional and 6 responsible companies in the Ukrainian and Warsaw exchanges. The methodological basis of calculations was the classic Markowitz portfolio optimization model. The key hypothesis of the research was to check that the conventional investment portfolios of Ukrainian companies outperform the responsible investment portfolios by their parameters (return, risk). This hypothesis was rejected. The obtained results have not only theoretical significance – both the rationale for the threat of responsible investment in Ukraine and the applied value for market participants in terms of investment decisions making, taking into consideration the ESG criteria, and the formation of investment portfolios from shares of the responsible companies, the key parameters of which exceed the conventional portfolios.Item Environmental, social and governance investment standardization: moving towards sustainable economy(Business Perspectives, 2019) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Макаренко, Інна Олександрівна; Макаренко, Инна Александровна; Makarenko, Inna Oleksandrivna; Makarenko, S.M.; Єльнікова, Юлія Василівна; Ельникова, Юлия Васильевна; Yelnikova, Yuliia VasylivnaThis paper is devoted to the investigation of environmental, social and governance investment (investment with ESG criterion) normative base in the context of standardization process in sustainable economy financing. Complexity of such standardization and the lack of commonly accepted regulations, indexes metrics are under discussions of scholars, which encourage the need for clear guidance in ESG investment. 651 sustainability rating products and more than 300 investment policy instruments in different countries show the need for classifying the ESG standards. The solution of this scientific and practical task is based on the developed ESG investment standards system classifications. Proposed classification incorporates such criteria as level of standards adoption, mandatory degree, sectorial specificity, degree of companies’ awareness of responsible activity, ensuring transparency and the benchmarks formation, creating the institutional support of the ESG investment standardization process in sustainable economy and making more grounded investment and regulatory decisions.Item Market anomalies and data persistence: The case of the day-of-the-week effect(Centre of Sociological Research (CSR), Szczecin, Poland, 2019) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Козьменко, Сергій Миколайович; Козьменко, Сергей Николаевич; Kozmenko, Serhii Mykolaiovych; Plastun, V.; Філатова, Ганна Петрівна; Филатова, Анна Петровна; Filatova, Hanna PetrivnaThis paper investigates the degree of persistence in the financial markets’ data during different days of the week over the last twenty years. This allows taking a brand new look on the day-of-the-week effect and providing additional evidence against the efficient market hypothesis. The variety of the financial markets includes developed and emerging stock markets, FOREX, commodity and cryptocurrency markets. To measure the level of persistence the R/S analysis is used. The findings indicate that the level of persistence is different for different days of the week. This is inconsistent with the Efficient Market Hypothesis: data do not follow a random walk; and there can be indirect evidence in favor of the day-of-the-week effect. Conclusions on non-randomness of the data are important, because they allow choosing the best model to describe price dynamics so that to increase the predictive power of the existing models. Differences in the long-memory properties of the market data during different days of the week is an important finding that can lead to better understanding of the behavior of financial markets. High level of persistence implies data predictability, and therefore suggests that trend following technics can be applied to make profits from trading.Item ESG disclosure regulation: in search of a relationship with the countries competitiveness(Business Perspectives, 2019) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Макаренко, Інна Олександрівна; Макаренко, Инна Александровна; Makarenko, Inna Oleksandrivna; Кравченко, Олена Володимирівна; Кравченко, Елена Владимировна; Kravchenko, Olena Volodymyrivna; Овчарова, Наталія Вікторівна; Овчарова, Наталья Викторовна; Ovcharova, Nataliia Viktorivna; Олексіч, Жанна Анатоліївна; Олексич, Жанна Анатольевна; Oleksich, Zhanna AnatoliivnaThis paper is devoted to the investigation of environmental, social and governance (ESG) disclosure regulation process and its possible connection with countries’ competitiveness as an integral part of countries’ Corporate Social and Environmental Responsibility (CSER) poliсy. ESG disclosure regulation criteria were examined according to their classification on Pension Fund Regulation, Stewardship Code, Government Corporate ESG disclosure, and Non-Government Corporate ESG disclosure by UNPRI in 2016 and for developed countries and developing and emerging countries separately. In order to find the relationship between ESG disclosure and the countries’ competitiveness (describing by Global Competitiveness Index), variety of statistical tests was applied (Student’s t-tests, ANOVA analysis, Mann-Whitney tests, simple average analysis and regression analysis with dummy variables). Research hypotheses about statistically significant differences in ESG disclosure regulation between developed countries and developing and emerging countries and the influence of ESG disclosure regulation on the overall competitiveness of the country were proved. ESG disclosure regulation became an effective instrument of countries CSER policy and tools for increasing their competitiveness.Item Price overreactions in the cryptocurrency market(Emerald, 2019) Caporale, M.G.; Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii LeonidovychThis paper examines price overreactions in the case of the following cryptocurrencies: BitCoin, LiteCoin, Ripple and Dash. A number of parametric (t-test, ANOVA, regression analysis with dummy variables) and non-parametric (Mann–Whitney U test) tests confirm the presence of price patterns after overreactions: the next-day price changes in both directions are bigger than after “normal” days. A trading robot approach is then used to establish whether these statistical anomalies can be exploited to generate profits. The results suggest that a strategy based on counter-movements after overreactions is not profitable, whilst one based on inertia appears to be profitable but produces outcomes not statistically different from the random ones. Therefore the overreactions detected in the cryptocurrency market do not give rise to exploitable profit opportunities (possibly because of transaction costs) and cannot be seen as evidence against the Efficient Market Hypothesis (EMH).Item The day of the week effect in the cryptocurrency market(Elsevier, 2019) Caporale, M.G.; Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii LeonidovychThis paper examines the day of the week effect in the cryptocurrency market using a variety of statistical techniques (average analysis, Student's t-test, ANOVA, the Kruskal–Wallis test, and regression analysis with dummy variables) as well as a trading simulation approach. Most crypto currencies (LiteCoin, Ripple, Dash) are found not to exhibit this anomaly. The only exception is BitCoin, for which returns on Mondays are significantly higher than those on the other days of the week. In this case the trading simulation analysis shows that there exist exploitable profit opportunities; however, most of these results are not significantly different from the random ones and therefore cannot be seen as conclusive evidence against market efficiency.Item On stock price overreactions: frequency, seasonality and information content(Taylor & Francis Group, 2019) Caporale, M.G.; Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii LeonidovychThis paper explores the frequency of price overreactions in the US stock market by focusing on the Dow Jones Industrial Index over the period 1990–2017. It uses two different methods (static and dynamic) to detect overreactions and then carries out various statistical tests (both parametric and non-parametric) including correlation analysis, augmented Dickey–Fuller tests (ADF), Phillips-Perron (PP) tests, Granger causality tests, and regression analysis with dummy variables. The following hypotheses are tested: whether or not the frequency of overreactions varies over time (H1), is informative about crises (H2) and/or price movements (H3), and exhibits seasonality (H4). The null cannot be rejected except for H4, i.e., no seasonality is found. On the whole, it appears that the frequency of overreactions can provide useful information about market developments. A sharp increase in the number of overreactions occurs in crisis periods. The frequency of overreactions is linked to the VIX index and therefore could be used as an alternative measure of market sentiment and market fear, and it also affects stock returns. Further, our findings provide evidence supporting market inefficiency since price predictability can allow investors to design profitable trading strategies; in addition, the fact that the frequency of overreactions varies over time is consistent with the Adaptive Expectations Hypothesis.Item Exploring price gap anomaly in the Ukrainian stock market(Business Perspectives, 2019) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Макаренко, Інна Олександрівна; Макаренко, Инна Александровна; Makarenko, Inna Oleksandrivna; Хомутенко, Людмила Іванівна; Хомутенко, Людмила Ивановна; Khomutenko, Liudmyla Ivanivna; Shcherbak, S.; Tryfonova, O.This paper analyzes price gaps in the Ukrainian stock market for the case of UX index over the period 2009–2018. Using different statistical tests (Student’s t-tests, ANOVA, Mann-Whitney test) and regression analysis with dummy variables, as well as modified cumulative approach and trading simulation, the authors test a number of hypotheses searching for price patterns and abnormal market behavior related to price gaps: there is seasonality in price gaps (H1); price gaps generate statistical anomalies in the Ukrainian stock market (H2); upward gaps generate price patterns in the Ukrainian stock market (H3) and downward gaps generate price patterns in the Ukrainian stock market (H4). Overall results are consistent with the Efficient Market Hypothesis: there is no seasonality in price gaps and in most cases there is no evidences of price patterns or abnormal price behavior after the gaps in the Ukrainian stock market. Nevertheless, the authors find very strong and convincing evidences in favor of momentum effect on the days of negative gaps. These observations are confirmed by trading simulations: trading strategy based on detected price pattern generates profits and demonstrates overall efficiency, which is against the market efficiency. These results can be interesting both for academicians (further evidences against market efficiency) and practitioners (real and effective trading strategy to generate profits in the Ukrainian market market).Item Bitcoin fluctuations and the frequency of price overreactions(Springer, 2019) Caporale, G.M.; Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Олійник, Віктор Михайлович; Олейник, Виктор Михайлович; Oliinyk, Viktor MykhailovychThis paper investigates the role of the frequency of price overreactions in the cryptocurrency market in the case of BitCoin over the period 2013–2018. Specifically, it uses a static approach to detect overreactions and then carries out hypothesis testing by means of a variety of statistical methods (both parametric and non-parametric) including ADF tests, Granger causality tests, correlation analysis, regression analysis with dummy variables, ARIMA and ARMAX models, neural net models, and VAR models. Specifically, the hypotheses tested are whether or not the frequency of overreactions (i) is informative about Bitcoin price movements (H1) and (ii) exhibits no seasonality (H2). On the whole, the results suggest that it can provide useful information to predict price dynamics in the cryptocurrency market and for designing trading strategies (H1 cannot be rejected), whilst there is no evidence of seasonality (H2 cannot be rejected).