Araştırma Makalesi

Examining The Existence Of Day-Of-Week And Month-Of-Year Anomalies In Bitcoin

Cilt: 11 Sayı: 1 27 Mart 2022
PDF İndir
EN TR

Examining The Existence Of Day-Of-Week And Month-Of-Year Anomalies In Bitcoin

Abstract

The main purpose of this study is to reveal whether seasonal/time-oriented/calendar anomalies affect the price and transaction volume of Bitcoin. Day of the week and month of the year anomalies are examined in this context. The data for the years 2013-2021 are handled in 3 different sampling periods, consisting of the whole of this time period and each of its divided parts. The existence of these anomalies is analyzed with EGARCH models created separately. The most important conclusion reached in this study is that the analyzed anomalies differ according to the sampling periods. The common findings reached as a result of the analyzes for all three time intervals are as follows: It has been determined that Monday has positive effects in terms of both Bitcoin return and transaction volume, while Saturday has negative effects only regarding transaction volume. Mondays, Tuesdays, and Wednesdays create volatility-increasing effects concerning returns, Friday, Saturday and Sunday reduce volatility. In terms of trading volume, Monday and Tuesday reduce volatility, while Thursday and Friday increase volatility. Whereas March has a positive effect on return volatility, it has a negative effect on trading volume volatility, and September has only a negative effect on return volatility.

Keywords

Kaynakça

  1. Abraham, J., Sutiksno, D. U., Kurniasih, N., & Warokka, A. (2019). Acceptance and Penetration of Bitcoin: The Role of Psychological Distance and National Culture. SAGE Open, 9(3). https://doi.org/10.1177/2158244019865813
  2. Aharon, D. Y., & Qadan, M. (2019). Bitcoin and the Day-of-the-week Effect. Finance Research Letters, 31, 415-424. https://doi.org/10.1016/j.frl.2018.12.004
  3. Baur, D. G., Cahill, D., Godfrey, K., & Liu, Z. F. (2019). Bitcoin Time-of-day, Day-of-week and Month-of-year Effects in Returns and Trading Volume. Finance Research Letters, 31, 78-92. https://doi.org/10.1016/j.frl.2019.04.023
  4. Brahmana, R., Hooy, C. W., & Ahmad, Z. (2012). The Role Of Herd Behaviour In Determining The Investor's Monday Irrationality. Asian Academy of Management Journal of Accounting & Finance, 8(2), 1-20.
  5. http://web.usm.my/journal/aamjaf/vol%208-2-2012/AAMJAF8-2-2012(1-20).pdf
  6. Caporale, G. M., & Plastun, A. (2019). The Day of the Week Effect in the Cryptocurrency Market. Finance Research Letters, 31, 258-269. https://doi.org/10.1016/j.frl.2018.11.012
  7. Chan, M.W.L., Khanthavit, A. & Thomas, H. Seasonality and Cultural Influences on Four Asian Stock Markets. Asia Pacific Journal of Management, 13(2), 1-24. https://doi.org/10.1007/BF01733814
  8. Georgantopoulos, A. G., Kenourgios, D., & Tsamis, A. (2011). Calendar Anomalies in Emerging Balkan Equity Markets. International Economics and Finance Journal, 6(1), 67-82. https://ssrn.com/abstract=1856983

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

27 Mart 2022

Gönderilme Tarihi

24 Ocak 2022

Kabul Tarihi

11 Mart 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 11 Sayı: 1

Kaynak Göster

APA
Hamurcu, C. (2022). Examining The Existence Of Day-Of-Week And Month-Of-Year Anomalies In Bitcoin. Kırklareli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 11(1), 162-183. https://doi.org/10.53306/klujfeas.1062270

Cited By