Examining the day-of-the-week-effect and the-month-of-the-year-effect in cryptocurrency market

Robiyanto Robiyanto, Yosua Arif Susanto, Rihfenti Ernayani


Cryptocurrency market is an attractive field for researchers in finance nowadays. One topic that can be studied is related to the existence of anomalies in the cryptocurrency market. This research was conducted to examine whether the cryptocurrency market, especially on Bitcoin and Litecoin, has day-of-the-week and month-of-the-year effects. The Bitcoin and Litecoin were used as objects because they were a cryptocurrency with a large market capitalization. The data used were monthly cryptocurrency returns for examining the month-of-the-year-effect and daily returns for examining the day-of-the-week-effect from 2014-2018. GARCH (1,1) analysis was done to see these effects on the cryptocurrency market. The results indicate that the phenomena of day-of-the-week and month-of-the-year effect existed in the cryptocurrency market. Therefore, the cryptocurrency market was not an efficient market. The pattern in the Bitcoin and Litecoin could later be utilized by investors. The investors should buy Bitcoin at the end of January and they should sell them at the end of February. While, for the investors who traded daily, can trade Bitcoin in Monday, Wednesday and Thursday because in these days, the Bitcoin have the potential to generate daily profits.

JEL Classification: G14, G19

DOI: https://doi.org/10.26905/jkdp.v23i3.3005


Cryptocurrency; Bitcoin; Monthly seasonal patterns; Daily seasonal patterns

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Abdalla, S. Z. S. (2012). Day-of-the-week effect on returns and conditional volatility : Empirical Evidence from Sudanese Stock Market. Middle Eastern Finance Economics, (16), 167-180.

Alexander, D. L. J., Tropsha, A., & Winkler, D. A. (2015). Beware of R2: simple, unambiguous assessment of the prediction accuracy of QSAR and QSPR models. Journal of Chemical Inference Model, 55(7), 1316-1322. https://dx.doi.org/10.1021%2Facs.jcim.5b00206

Anonimous. (2015). Lite coin white paper. Retrieved from http://zioncoins.co.uk/wp-content/uploads/2015/06/Lite-Coin-Whitepaper.pdf

Badev, A., & Chen, M. (2014). Bitcoin: technical background and data analysis. Finance and Economics Discussion Series. Retrieved from https://www.federalreserve.gov/econresdata/feds/2014/files/2014104pap.pdf

Bollerslev, T. (1986). Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 31, 307-327. https://doi.org/10.1016/0304-4076(86)90063-1

Caporale, G. M., & 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

Caporale, G. M., & Zakirova, V. (2017). Calendar anomalies in the Russian stock market. Russian Journal of Economics, 3(1), 101-108. https://doi.org/10.1016/j.ruje.2017.02.007

Conway, J. (2014). Beginners Guide to Cryptocurrencies. Retrieved from https://www.joeyconway.com/blog/wp-content/uploads/2014/10/Beginners-Guide-to-Cryptocurrencies-final.pdf

Greene, W. H. (2003). Econometric Analysis 5th Edition. New Jersey: Prentice-Hall.

ICBA. (2015). Virtual Currency: Risks and Regulation. Washington, DC: Independent Community Bankers of America Retrieved from https://www.icba.org

Lean, H. H. (2011). The halloween puzzle in selected Asian Stock Markets. International Journal of Economics and Management, 5(1), 216-225.

Lean, H. H., & Tan, V. K. M. (2010). Existence of the day of the week effect in FTSE Bursa Malaysia. Jurnal Pengurusan, 31, 3-11. https://doi.org/10.17576/pengurusan-2010-31-01

Lucey, B. M., & Zhao, S. (2008). Halloween or January? Yet another puzzle. International Review of Financial Analysis, 17, 1055-1069. https://doi.org/10.2139/ssrn.887861

Marrett, G., & Worthington, A. (2011). The month-of-the-year effect in the Australian Stock Market: A Short technical note on the market, industry and firm size impacts. Australasian Accounting Business and Finance, 5(1), 117-123. https://doi.org/10.2139/ssrn.1290886

Motulsky, H. J., & Christopoulos, A. (2003). Fitting Models to Biological Data using Linear and Nonlinear Regression. San Diego, CA.: GraphPad Software Inc.

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system.

Olowe, R. A. (2010). Oil price volatility, global financial crisis and the month-of-the-year effect. International Journal of Business and Management, 5(11), 156-170. https://doi.org/10.5539/ijbm.v5n11p156

Pulungan, D. P., Wahyudi, S., & Suharnomo, S. (2018). Does the crude palm oil market walk randomly. Jurnal Keuangan dan Perbankan, 22(2), 211–218 https://doi.org/10.26905/jkdp.v22i2.2023

Richter, C., Kraus, S., & Bouncken, R. B. (2015). Virtual currencies like Bitcoin as a paradigm shift in the field of transactions. International Business & Economics Research Journal, 14(4), 575-586. https://doi.org/10.19030/iber.v14i4.9350

Rita, M. R. (2009). Pengaruh hari perdagangan terhadap return saham: Pengujian day of the week effect, week-four effect dan Rogalski Effect di BEI. Jurnal Ekonomi dan Bisnis, 15(2), 121-134.

Robiyanto, R. (2015). Month of the year effect pada beberapa pasar modal di Asia Tenggara dan pasar komoditas. Jurnal Ekonomi dan Bisnis, 18(2), 53-64. https://doi.org/10.24914/jeb.v18i2.260

Robiyanto, R. (2017). Month of the year effect pada pasar obligasi di Indonesia. Jurnal Ekonomi dan Bisnis, 20(2), 291-302. https://doi.org/10.24914/jeb.v20i2.1093

Robiyanto, R., & Pangestuti, I. R. D. (2018). Weak form market efficiency in the cryptocurrency market. Paper presented at the 2nd International Conference on Management & Entrepreneurship (2nd i-CoME), Yogyakarta, Indonesia.

Seetharaman, A., Saravanan, A. S., Patwa, N., & Mehta, J. (2017). Impact of Bitcoin as a world currency. Accounting and Finance Research, 6(2), 230. https://doi.org/10.5430/afr.v6n2p230

Sifat, I. M., Mohamad, A., & Mohamed Shariff, M. S. B. (2019). Lead-lag relationship between Bitcoin and Ethereum: Evidence from hourly and daily data. Research in International Business and Finance, 50, 306-321. https://doi.org/10.1016/j.ribaf.2019.06.012

Suganda, T. R., Sumargo, I. K., & Robiyanto, R. (2018). Superstitious behavior and stock return: The case of Javanese traditional calendar. Kasetsart Journal of Social Sciences. https://doi.org/10.1016/j.kjss.2018.08.008

Swami, R. (2012). Calendar anomalies in the Bourses of South Asia. Market Convergence, 2(2), 64-74.

Ţilică, E. V., & Oprea, D. (2014). Seasonality in the Romanian Stock Market: The-day-of-the-week effect. Procedia Economics and Finance, 15, 704-710.


Zhang, J., Lai, Y., & Lin, J. (2017). The day-of-the-week effects of stock markets in different countries. Finance Research Letters, 20, 47-62. https://doi.org/10.1016/j.frl.2016.09.006

DOI: https://doi.org/10.26905/jkdp.v23i3.3005


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