Transformation of the Ukrainian Stock Market: A Data Properties View
Анотація
This paper investigates the evolution of the Ukrainian stock market through an analysis of various data properties, including persistence, volatility, normality, and resistance to anomalies for the case of daily returns from the PFTS stock index spanning 1995–2022. Segmented into sub-periods, it aims to test the hypothesis that the market’s efficiency has increased over time. To do this different statistical techniques and methods are used, including R/S analysis, ANOVA analysis, regression analysis with dummy variables, t-tests, and others. The findings present a mixed picture: while volatility and persistence demonstrate a general decreasing trend, indicating a potential shift towards a more efficient market, normality tests reveal no discernible differences between analyzed periods. Similarly, the analysis of anomalies shows no specific trends in the market’s resilience to the day-of-the-week effect. Overall, the results suggest a lack of systematic changes in data properties in the Ukrainian stock market over time, possibly due to the country’s volatile conditions, including two revolutions, economic crises, the annexation of territories, and a Russian invasion leading to the largest war in Europe since WWII. The limited impact of reforms and changes justifies the need for continued market reform and evolution post-war.
Класифікація
Ідентифікатори
Рецензії (0)
Написати рецензіюРецензій ще немає. Будьте першим!
Схожі роботи
Is market fear persistent? A long-memory analysis
Схоже за: Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Complex Systems and Time Series Analysis
Long memory and data frequency in financial markets
Схоже за: Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Complex Systems and Time Series Analysis
BRICS Capital Markets Co-Movement Analysis and Forecasting
Схоже за: Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Complex Systems and Time Series Analysis
Solar X-ray variability in terms of a fractional heteroskedastic time series model
Схоже за: Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Complex Systems and Time Series Analysis
Long memory in the Ukrainian stock market and financial crises
Схоже за: Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Complex Systems and Time Series Analysis
Exploring frequency of price overreactions in the Ukrainian stock market
Схоже за: Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Complex Systems and Time Series Analysis