Видання зареєстровані авторами шляхом самоархівування
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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).Item Long memory and data frequency in financial markets(Taylor and Francis, 2019) Caporale, G.M.; Gil-Alana, L.; Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii LeonidovychThis paper investigates persistence in financial time series at three different frequencies (daily, weekly and monthly). The analysis is carried out for various financial markets (stock markets, FOREX, commodity markets) over the period from 2000 to 2016 using two different long memory approaches (R/S analysis and fractional integration) for robustness purposes. The results indicate that persistence is higher at lower frequencies, for both returns and their volatility. This is true of the stock markets (both developed and emerging) and partially of the FOREX and commodity markets examined. Such evidence against the random walk behaviour implies predictability and is inconsistent with the Efficient Market Hypothesis (EMH), since abnormal profits can be made using trading strategies based on trend analysis.Item Calendar anomalies in the Ukrainian stock market(LLC “Consulting Publishing Company “Business Perspectives”, 2017) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Caporale, G.M.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.Item The weekend effect: an exploitable anomaly in the Ukrainian stock market?(DIW Berlin ; Німецький інститут економічних досліджень, 2015) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Caporale, G.M.; Gil-Alana, L.This paper provides some new empirical evidence on the weekend effect (one of the best known anomalies in financial markets) in Ukrainian futures prices. The analysis uses various statistical techniques (average analysis, Student's t-test, dummy variables, and fractional integration) to test for the presence of this anomaly, and then a trading simulation approach to establish whether it can be exploited to make extra profits. The statistical evidence points to abnormal positive returns on Fridays, and a trading strategy based on this anomaly is shown to generate annual profits of up to 25%. The implication is that the Ukrainian stock market is inefficient.Item Long-term price overreactions: are markets inefficient?(2015) Caporale, G.M.; Gil-Alana, L.; Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii LeonidovychThis paper examines long-term price overreactions in various financial markets (commodities, US stock market and FOREX). First, t-tests are carried out for overreactions as a statistical phenomenon. Second, a trading robot approach is applied to test the profitability of two alternative strategies, one based on the classical overreaction anomaly, the other on a so-called “inertia anomaly”. Both weekly and monthly data are used. Evidence of anomalies is found predominantly in the case of weekly data. In the majority of cases strategies based on overreaction anomalies are not profitable, and therefore the latter cannot be seen as inconsistent with the EMH.Item Short-Term Price Overreactions: Identification, Testing, Exploitation(Brunel University, London, 2014) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Caporale, G.M.; Gil-Alana, L.This paper examines short-term price reactions after one-day abnormal price changes and whether they create exploitable profit opportunities in various financial markets. A t-test confirms the presence of overreactions and also suggests that there is an “inertia anomaly”, i.e. after an overreaction day prices tend to move in the same direction for some time. A trading robot approach is then used to test two trading strategies aimed at exploiting the detected anomalies to make abnormal profits. The results suggest that a strategy based on counter-movements after overreactions does not generate profits in the FOREX and the commodity markets, but it is profitable in the case of the US stock market. By contrast, a strategy exploiting the “inertia anomaly” produces profits in the case of the FOREX and the commodity markets, but not in the case of the US stock market.