Наукові видання (ННІ БТ)
Permanent URI for this collectionhttps://devessuir.sumdu.edu.ua/handle/123456789/48925
Browse
8 results
Search Results
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 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 Price gaps: Another market anomaly?(Taylor & Francis Group, 2017) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Oleksii Leonidovych; Guglielmo, M.C.This paper analyses price gaps in financial markets, also known as trading, opening, common, stock or morning gaps – all these terms being used to indicate that the current day’s opening price is not the same as the previous day’s closing price. To test for the presence of such an anomaly in price dynamics stock, FOREX and commodity market daily data were used. The sample period went from 2000 to 2015. Applying a variety of statistical tests, we tested six different hypotheses and are able to show that in most cases the observed price behaviour is not inconsistent with market efficiency, the exception being FOREX. In this case, a trading strategy based on exploiting the observed anomaly can generate abnormal profits.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.Item The Weekend Effect: A Trading Robot and Fractional Integration Analysis(2014) Пластун, Олексій Леонідович; Пластун, Алексей Леонидович; Plastun, Aleksei Leonydovych; Maria Caporale, Guglielmo; Макаренко, Інна Олександрівна; Макаренко, Инна Александровна; Makarenko, Inna Oleksandrivna; Gil-Alana, LuisThis paper provides some new empirical evidence on the weekend effect, one of the most recognized anomalies in financial markets. Two different methods are used: (i) a trading robot approach to examine whether or not there is such an anomaly giving rise to exploitable profit opportunities by replicating the actions of traders; (ii) a fractional integration technique for the estimation of the (fractional) integration parameter d. The results suggest that the week-end effect as a statistical phenomenon can be detected. The lowest orders of integration are generally found on Mondays, which can be seen as an evidence for a weekend effect. But from the practical point of view this anomaly is useless – it is impossible to get stable positive financial results from trading on the week-end effect. So in general our results are consistent with the EMH and the week-end effect shouldn’t be used as an example of inconsistency of EMH with the real life.