Yaya, OlaOluwa S and Ogbonna, Ephraim A (2019): Do we Experience Day-of-the-week Effects in Returns and Volatility of Cryptocurrency?
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Abstract
This present paper investigates day-of-the-week effect in some notable cryptocurrency in terms of pricing and market capitalizations. We applied fractional integration regression approach with dummies. We found non-significance of day-of-the-week effect in returns, while there is possible evidence of Monday and Friday effects in volatility of Bitcoin only. Non-significance of day-of-the-week effect in returns of Bitcoin and some other cryptocurrencies further support market efficiency of these markets.
Item Type: | MPRA Paper |
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Original Title: | Do we Experience Day-of-the-week Effects in Returns and Volatility of Cryptocurrency? |
Language: | English |
Keywords: | Bitcoin; Day-of-the-week Effect; Cryptocurrency; Market efficiency |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes |
Item ID: | 91429 |
Depositing User: | Dr OlaOluwa Yaya |
Date Deposited: | 12 Jan 2019 22:51 |
Last Modified: | 26 Sep 2019 10:08 |
References: | Aharon, D.Y. and Qadan, M. (2018). Bitcoin and the day-of-the-week effect. Finance Research Letters, https://doi.org/10.1016/j.frl.2018.12.004 Caporale, G.M. and Plastun, A. (2018). The day of the week effect in the cryptocurrency market. Finance Research Letters, https://doi.org/10.1016/j.frl.2018.11.012 Decourt, R.F., Chohan, U.W. and Perugini, M.L. (2017). Bitcoin Returns and the Monday Effect. Horizontes Empresariales, 16, 4-14. Durai, S.R.S. and Paul, S. (2018). Calendar anomaly and the degree of market inefficiency of Bitcoin. Madras School of Economics working paper No. 168/2018. Granger, C.W.J. and R. Joyeux (1980) An introduction to long memory time series and fractionally differencing. Journal of Time Series Analysis 1, 15-29. Hosking, J.R.M. (1981) Fractional differencing. Biometrika, 68, 165-176. Kurihara, Y., Fukushima, A., 2017. The market efficiency of Bitcoin: a weekly anomaly. Perspect. J. Appl. Financ. Bank. 7 (3), 57–64. Mbaga, C.L. (2018). The day-of-the-week pattern of price clustering in bitcoin. Applied Economics Letters, https://doi.org/10.1080/13504851.2018.1497844 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/91429 |