The Effect of Positive and Negative Events on Cryptocurrency Prices

Öz

In recent years, cryptocurrencies have become a new topic for financial studies. In this study, the effects of positive and negative events related to cryptocurrencies on the prices of related cryptocurrencies were researched using the event study. These events include major listing, delisting and airdrop announcements, and SEC enforcements. As a result of the analysis, 22 significant abnormal return values related to negative events and eight significant abnormal return values related to positive events were determined at 1% significance level within the event window (-5, +10). Therefore, it has been determined that negative events have more effect on cryptocurrencies than positive events. The number of significant cumulative abnormal return values obtained (13 for negative events, three for positive events) also supports these results. The results of the study have crucial implications for investors, centralized cryptocurrency exchanges, and cryptocurrency CEOs. Even after the negative events were announced publicly, pull out of the market will prevent investors from making more losses. In addition, it is recommended that investors sell for profits in case of a rapid high return on the day of the listing announcement. Because it was determined that the prices returned to the equilibrium prices at the closing.

Anahtar Kelimeler

• Event Study
• Cryptocurrency
• Abnormal Return
• Altcoin

Olumlu ve Olumsuz Olayların Kripto Para Fiyatları Üzerindeki Etkisi

Öz

Son yıllarda kripto paralar, finansal çalışmalar için yeni bir konu haline gelmiştir. Bu çalışmada kripto paralarla ilgili olumlu ve olumsuz olayların ilgili kripto paraların fiyatları üzerindeki etkileri olay çalışması yöntemi kullanılarak araştırılmıştır. Bu olaylar büyük listeleme ve liste dışı bırakma duyuruları, airdrop duyuruları ve Amerika Birleşik Devletleri Menkul Kıymetler ve Borsa Komisyonu yaptırımlarını içermektedir. Analizler sonucunda (-5, +10) olay penceresi içerisinde %1 güven seviyesinde olumsuz olaylarla ilgili 22 ve olumlu olaylarla ilgili 8 anlamlı anormal getiri değeri tespit edilmiştir. Dolayısıyla olumsuz olayların kripto paralar üzerinde olumlu olaylardan daha fazla etkisinin bulunduğu ortaya konulmuştur. Elde edilen anlamlı kümülatif anormal getiri değerlerinin sayıları da (olumsuz olaylar için 13, olumlu olaylar için üç) bu sonuçları destekler niteliktedir. Çalışmanın sonuçları yatırımcılar, merkezi kripto para borsaları ve kripto para yöneticileri için önemli çıkarımlara sahiptir. Özelikle kripto paralarla ilgili olumsuz olaylar kamuoyuyla paylaşıldıktan sonra bile piyasadan çıkılması, yatırımcıların daha fazla zarar etmesini engelleyecektir. Ayrıca listeleme duyurularının yapıldığı gün içerisinde anlık yüksek bir getiri oluşması durumunda yatırımcıların kar alması tavsiye edilmektedir. Çünkü kapanışta fiyatların denge fiyatlarına döndüğü tespit edilmiştir.

Anahtar Kelimeler

• Olay Çalışması
• Kripto Para
• Anormal Getiri
• Altcoin

Kaynakça

1. Ante, L. (2020). Bitcoin transactions, information asymmetry and trading volume. Quantitative Finance and Economics, 4(3), 365-381. doi: 10.3934/QFE.2020017
2. Ante, L. (2021). How Elon Musk’s twitter activity moves cryptocurrency markets (BRL Working Paper Series No. 16). Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3778844
3. Apopo, N. and Phiri, A. (2021). On the (in)efficiency of cryptocurrencies: Have they taken daily or weekly random walks? Heliyon, 7, 1-10. doi: 10.1016/J.HELIYON.2021.E06685
4. Auer, R. and Claessens, S. (2018). Regulating cryptocurrencies: assessing market reactions. BIS Quarterly Review, 3, 51-65. Retrieved from https://www.bis.org/
5. Bariviera, A.F. (2017). The inefficiency of Bitcoin revisited: A dynamic approachi. Economics Letters, 161, 1-4. doi: 10.1016/j.econlet.2017.09.013
6. Benninga, S. (2014). Financial modeling (4. Ed.). Cambridge, Massachusetts London: The MIT Press.
7. Binance (n.d.). Listing, delisting and airdrop announcement. Retrieved from https://www.binance.com/en/support/announcement
8. Brown, J.S. and Warner, B.J. (1985). Using daily stock returns the case of event studies. Journal of Financial Economics, 14, 3-31. doi: 10.1016/0304-405X(85)90042-X

9. Brown, M.S. and Douglass, B. (2020). An event study of the effects of cryptocurrency thefts on cryptocurrency prices. Paper presented at the Spring Simulation Conference (SpringSim), Fairfax, VA, USA. Retrieved from https://dl.acm.org/doi/10.5555/3408207.3408234
10. Campbell, K., Gordon, A.L., Loeb, P.M. and Zhou, L. (2003). The economic cost of publicly announced information security breaches: Empirical evidence from the stock market. Journal of Computer Security, 11(3), 431-448. doi: 10.3233/JCS-2003-11308
11. Cheah, E.T., Mishra, T., Parhi, M. and Zhang, Z. (2018). Long memory interdependency and inefficiency in Bitcoin markets. Economics Letters, 167, 18-25. doi: 10.1016/j.econlet.2018.02.010
12. Chokor, A. and Alfieri, E. (2021). Long and short-term impacts of regulation in the cryptocurrency market. The Quarterly Review of Economics and Finance, 81, 157-173. doi: 10.1016/j.qref.2021.05.005
13. CoinMarketCap (n.d.). [Dataset]. Retrieved from https://coinmarketcap.com/coins/
14. Dyckman, T., Philbrick, D. and Stephan, J. (1984). A comparison of event study methodologies using daily stock returns: A simulation approach. Journal of Accounting Research, 22, 1-30. doi: 10.2307/2490855
15. Fama, E.F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383-417. doi: 10.2307/2325486
16. Hawaldar, I.T., Rajesha, T.M. and Souza, L.J.D. (2019). Testing the weak form of efficiency of cryptocurrencies: A case study of Bitcoin and Litecoin. International Journal of Scientific & Technology Research, 8(9), 2301-2305. Retrieved from https://www.ssrn.com/
17. Jo, M.H., Nishikawa, Y. and Dandapani, K. (2020). Announcement effects in the cryptocurrency market. Applied Economics, 52(44), 4794-4808. doi: 10.1080/00036846.2020.1745747
18. Kotari, S.P. and Warner, J.B. (2006). Econometrics of event studies. In B. Espen Eckbo (Ed.), Handbook of corparate finance (pp. 3-36). Amsterdam: North-Holland.
19. Kurihara, Y. and Fukushima, A. (2017). The market efficiency of Bitcoin: A weekly anomaly perspective. Journal of Applied Finance & Banking, 7(3), 57-64. Retrieved from https://ideas.repec.org/
20. Latif, S.R., Mohd, M.A., Amin, M.N.M. and Mohamad, A.I. (2017). Testing the weak form of efficiency market in cryptocurrency. Journal of Engineering and Applied Sciences, 12(9), 2285-2288. doi: 10.3923/jeasci.2017.2285.2288
21. Mackinlay, A.C. (1997). Event studies in economics and finance. Journal of Economic Literature, 35(1), 13-39. Retrieved from https://www.jstor.org/
22. Mahdy, D.E. (2021). The economic effect of Bitcoin halving events on the U.S. capital market. In N.M. Alsharari (Ed.), Accounting and finance ınnovations (pp. 1-19). London: IntechOpen.
23. Nadarajah, S. and Chu, J. (2017). On the inefficiency of Bitcoin. Economics Letters, 150, 6-9. doi: 10.1016/j.econlet.2016.10.033
24. Nakamoto, S. (2009). Bitcoin: A peer-to-peer electronic cash system. Retrieved from https://bitcoin.org/bitcoin.pdf
25. Saens, R. and Sandoval, E. (2005). Measuring security price performance using Chilean daily stock returns: The event study method. Cuadernos de Economía, 42(126), 307-328. Retrieved from https://www.jstor.org/
26. Schimmer, M., Levchenko, A. and Müller, S. (2014). EventStudyTools [Research Apps]. St.Gallen. Retrieved from http://www.eventstudytools.com
27. SEC (US Securities and Exchange Commission) (n.d.). Cyber enforcement actions. Retrieved from https://www.sec.gov/spotlight/cybersecurity-enforcement-actions
28. Shanaev, S., Shuraeva, A., Vasenin, M. and Kuznetsov, M. (2018). Cryptocurrency value and 51% attacks: Evidence from event studies. The Journal of Alternative Investments Winter, 22(3), 65-77. doi: 10.3905/jai.2019.1.081
29. Tiwari, A.K., Jana, R.K., Das, D. and Roubaud, D. (2018). Informational efficiency of Bitcoin-An extension. Economics Letters, 163, 106-109. doi: 10.1016/j.econlet.2017.12.006
30. Urquhart, A. (2016). The inefficiency of Bitcoin. Economics Letters, 148, 80-82. doi: 10.1016/j.econlet.2016.09.019
31. Zargar, F. N. and Kumar, D. (2019). Informational inefficiency of Bitcoin: A study based on high-frequency data. Research in International Business and Finance, 47, 344-353. doi: 10.1016/j.ribaf.2018.08.008
32. Zhao, C. (2021). How to get your coin listed on Binance.com. Retrieved from https://www.binance.com/en/support/faq/053e4bdc48364343b863d1833618d8ba