Alex Plastun

This paper is a comprehensive investigation of calendar anomalies in the Ukrainian stock market. It employs various statistical techniques (average analysis, Student’s t-test, ANOVA, the Kruskal-Wallis test, and regression analysis with dummy variables) and a trading simulation approach to test for the presence of the following anomalies: day-of-the-week effect; turn-of-the-month effect; turn-of-the-year effect; month-of-the-year effect; January effect; holiday effect; Halloween effect. The results suggest that in general calendar anomalies are not present in the Ukrainian stock market, but there are a few exceptions, i.e. the turn-of-the-year and Halloween effect for the PFTS index, and the month-of-the-year effect for UX futures. However, the trading simulation analysis shows that only trading strategies based on the turn-of-the-year effect for the PFTS index and the month-of-the-year effect for the UX futures can generate exploitable profit opportunities that can be interpreted as evidence against market efficiency.

The role of sustainability reporting in investment decision-making is not clear and obvious. Despite the steady increase of such statements in corporate annual reports, the relationship between the sustainability reporting and the financial performance of companies is not always positive. The main problems of sustainability reporting nowadays are insufficient comparability of reporting, accuracy (lack of materiality, reliability and validity of indicators), lack of common approaches for its verification.

Synthesis of standardization and regulation features of sustainability reporting, which is provided in this paper in different dimensions (countries, regulators standards), allows to identify long-term trends of this reporting to ensure its quality during investment decision-making in traditional and responsible financial markets.

Corporate social responsibility, disclosed in sustainability reporting, influences the financial performance of companies. As a result, traditional stock market indices (TI) are expanded with the social responsible stock market indices (SRI). The aim of this study was to establish whether there are any differences in the behavior of the TI and SRI. To do this, the authors analyzed their efficiency. They used R/S analysis to calculate the Hurst exponent as a measure of persistence (long-term memory property). The presence of persistence was evidence in favor of less efficiency. According to empirical results, SRI has lower efficiency, in particular the Dow Jones Sustainability Index. Lower efficiency was also observed in the emerging markets with a responsible investment segment, compared to the traditional stock market indices. Further standardization and a common methodological approach to corporate sustainability reporting disclosure are proposed.

This paper investigates competitiveness in the Ukrainian stock market during local crisis of 2013–2015. The following hypothesis is tested: crisis decreases competitiveness in the stock market. The analysis is carried out for the most liquid stocks in the Ukrainian Exchange (UX) over the period from 2010 to 2017 using both traditional measurements of market concentration (Hirschman Index, Lerner Index, Comprehensive Concentration Index, Entropy Index, Gini coefficient, etc.) and some alternative methods like regression analysis with dummy variables and Kruskal-Wallis test. The results suggest that the current degradation of the Ukrainian stock market is closely related with significant changes in the market concentration which are caused by the local crisis.

Ideology of Sustainable Development and Sustainable Development Goals influence the transformation of business processes in the companies. Professional accountants are important part of this transformation. In this paper the role of accounting in Sustainable Development Goals achievement is discussed. Different approaches to structuring the role of professional accountants in Sustainable Development are investigated. Among them are types of roles that perform accountants, their professional functions, skills and competencies in the corporate environment. As the result a holistic vision of the role of accounting in sustainable development in the new economic conditions is provided.

This paper explores the frequency of price overreactions in the Ukrainian stock market by focusing on the PFTS Index over the period 2006–2017 and UX index over the period 2008–2017, as well as some “blue chips” (BAVL, UNAF, MSICH, CEEN) for the period of 2013–2015. Using static approach to detect overreactions, a number of hypotheses are tested: the frequency of price overreactions is informative about crisis events in the economy (H1), can be used for price prediction purposes (H2), and exhibits seasonality (H3). To do this, various statistical tests (both parametric and non-parametric), including correlation analysis, augmented Dickey-Fuller tests (ADF), Granger causality tests, and regression analysis with dummy variables, are carried out. Hypotheses H1 and H2 are confirmed: frequency of price overreactions can be used as a crisis predictor (a sharp increase in the number of overreactions is associated with a crisis period) and could be used to predict stock returns. No seasonality in the overreactions frequency is found. Implications of this research include crisis prediction and stock market prices forecasting and can be used for designing trading strategies.

This paper is a comprehensive investigation of the January Effect evolution in the US stock market over the period 1791–2015. It employs various statistical techniques (average analysis, Student’s t-test, ANOVA, Mann-Whitney test) and a trading simulation approach to analyze the evolution of this anomaly. The results suggest that January effect during the XVIII–XXI century passed the way from rise to fall. The rise of the January Effect starts in the end of the XIX century and this anomaly mostly disappeared in middle of the XX century. Nowadays the January Effect is not present in the US stock market, but even today January stays one of the best months for purchases in the US stock market.

This paper examines reactions in the Ukrainian stock market to force majeure events, which are divided into four groups: economic force majeure, social force majeure, terrorist acts, natural and technological disasters. More specifically, using daily data for the main Ukrainian stock market index (namely PFTS) over the period from January 1, to December 31, 2018 this study investigates whether or not force majeure events create (temporary) inefficiencies and there exist profitable trading strategies based on exploiting them. For this purpose, cumulative abnormal returns and trading simulation approaches are used in addition to Student’s t-tests. The results suggest that the Ukrainian stock market absorbs new information rather fast. Negative returns in most cases are observed only on the day of the event. The only exception is technological disasters, the market needing up to ten days to react fully in this case. Despite the presence of a detectable pattern in price behavior after force majeure events (namely, a price decrease on the day of the event) no profitable trading strategies based on it are found as their outcomes do not differ from those generated by random trading.

This 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.

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).

This 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.

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.

This paper examines momentum and contrarian effects in the Ukrainian stock market after one-day abnormal returns. To do this, UX futures data over the period 2010–2018 are used. The following hypotheses are tested: H1) hourly returns on overreaction days differ from hourly returns on normal days, H2) there are price patterns on overreaction days, and H3) to test these hypotheses, visual inspection and average analysis are used, as well as t-tests, cumulative abnormal returns, and trading simulation approaches. The results suggest that there are statistically significant differences between intraday dynamics during the usual days and the overreactions day. There is a strong momentum effect present on the day of overreaction: prices tend to change only in the direction of the overreaction during the whole day. The fact of the overreaction becomes clear after 13:00-14:00. This gives a lot of time to explore the momentum effect in the day of overreaction. On the day after the overreaction, prices tend to go in the opposite direction: contrarian pattern is detected, which is in line with the overreaction hypothesis. Based on detected price patterns, rules of trading and trading strategies for the Ukrainian stock market are developed. Momentum Strategy (based on price patterns on the day of overreaction) generates several successful trades; close to with 90%, and their number being is profitable (trading results differ from the random ones – confirmed by t-tests). Contrarian Strategy (based on price patterns on the day after the overreaction) demonstrates low efficiency, and results do not differ from random trading.