Month of the year effect in the cryptocurrency market and portfolio management
Open Access
- 25 June 2019
- journal article
- Published by Oles Honchar Dnipropetrovsk National University in European Journal of Management Issues
- Vol. 27 (1-2), 29-35
- https://doi.org/10.15421/191904
Abstract
Purpose – to investigate the Month of the year effect in the cryptocurrency market. Design/Method/Research Approach. A number of parametric and non-parametric technics are used, including average analysis, Student's t-test, ANOVA, Kruskal-Wallis statistic test, and regression analysis with the use of dummy variables. Findings. In general (case of overall testing – when all data is analyzed at once) calendar the Month of the Year Effect is not present in the cryptocurrency market. But results of separate testing (data from the period “suspicious for being anomaly” with all the rest of the data, except the values which belong to the “anomaly data set”) shows that July and August returns are much lower than returns on other months. These are the worst months to buy Bitcoins. Theoretical implications. Results of this paper claim to find some holes in the efficiency of the cryptocurrency market, which can be exploited. This contradicts the Efficient Market Hypothesis. Practical implications. Results of this paper claim to find some holes in the efficiency of the cryptocurrency market, which can be exploited. This provides opportunities for effective portfolio management in the cryptocurrency market. Originality/Value. This paper is the first to explore Month of the Year Effect in the cryptocurrency market. Paper type – empirical. Authors gratefully acknowledge financial support from the Ministry of Education and Science of Ukraine (0117U003936).Keywords
This publication has 29 references indexed in Scilit:
- The Day of the Week, Turn of the Month and January Effect on Stock Market Volatility and Volume: Evidence from Bursa MalaysiaSSRN Electronic Journal, 2009
- Calendar Anomalies in Athens Exchange Stock Market - An Application of GARCH Models and the Neural Network Radial Basis FunctionSSRN Electronic Journal, 2008
- Comparison of Seasonal Anomalies across Major Equity Markets: A NoteThe Financial Review, 1993
- Are Seasonal Anomalies Real? A Ninety-Year PerspectiveThe Review of Financial Studies, 1988
- Stock market seasonality: International EvidenceJournal of Financial Economics, 1983
- Stock returns and the weekend effectJournal of Financial Economics, 1980
- The Behavior of Stock Prices on Fridays and MondaysCFA Magazine, 1973
- The Behavior of Stock-Market PricesThe Journal of Business, 1965
- Certain Observations on Seasonal Movements in Stock PricesJournal of Business of the University of Chicago, 1942
- Stock Prices: A Problem in VerificationJournal of Business of the University of Chicago, 1931