Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks

Abstract

In the world finance and technological development in finance, along with innovative financial instruments, have attracted investors. The most popular of these developments is undoubtedly Bitcoin, which is an output of the blockchain infrastructure .Bitcoin that is not connected to a central authority and contains cryptographic features, is one of the crypto moneys. The fact that Bitcoin does not depend on Central Authority and disclose the factors affecting its price by supply and demand have resulted in high volatility. In this study, firstly blockchain technology will be explained briefly and time-dependent price estimates for Bitcoin which is one of the important outputs of this technology, will be made. Artificial Neural Networks (YSA), which has become increasingly popular among estimation methods in recent years, has been used in the study and compared with ARIMA in traditional estimation methods. The sample of the study was created using daily closing prices between 02.02.2012 - 09.01.2018 dates. As a result of this study, both directions and values of estimated prices by artificial neural networks MPL (6-3-1) model between 10.01.2018 - 18.01.2018 have been more successful than ARIMA (1.1.6) model.

Keywords

• Blockchain,Bitcoin,ARIMA,Artifical Neural Networks

Kaynakça

1. Baek, C., ve Elbeck, M. (2015). “Bitcoins as an investment or speculative vehicle? A first look”. Applied Economics Letters, 22(1), 30-34.Chu J, Nadarajah S, Chan S (2015) “Statistical Analysis of the Exchange Rate of Bitcoin”. PLoS ONE 10(7): e0133678. https://doi.org/10.1371/journal.pone.0133678. Çalışkan, M. M. T., ve Deniz, D.(2016). “Yapay Sinir Ağlarıyla Hisse Senedi Fiyatları ve Yönlerinin Tahmini”, Dokoz Eylül Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (31), Sayı:2. Glaser, F., Zimmermann, K., Haferkorn, M., Weber, M. C., & Siering, M. (2014). “Bitcoin-asset or currency? Revealing users' hidden intentions.Iwamura, M., Kitamura, Y., Matsumoto, T., & Saito, K. (2014). “Can we stabilize the price of a Cryptocurrency?”: Understanding the design of Bitcoin and its potential to compete with Central Bank money.Kaynar, O., & Taştan, S. (2009). “Zaman Serisi Analizinde Mlp Yapay Sinir Ağları ve Arıma Modelinin Karşılaştırılması”. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (33), 161-172.Kristoufek. L., (2015). “What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis”. PLoS ONE 10(4): e0123923. https://doi.org/10.1371/journal.pone.0123923.Nakamato, S.,(2008). “Bitcoin: A Peer to Peer Electronic Cash System”, https://bitcoin.org/bitcoin.pdf Erişim Tarihi: 01.02.2018. Öztemel, E. (2006) Yapay Sinir Ağlan, 2. Baskı, İstanbul, Papatya Yayıncılık.Usta A. ve Doğantekin S. (2017). Blockchain 101, 1. Baskı, İstanbul, İnkilap Kitapevi. Üzer, B. (2017). Sanal Para Birimleri, Uzmanlık Tezi, Ankara. Vigna P. Ve Casey J. (2015). Kripto Para Çağı, , 2. Baskı, Buzdağı Yayın Evi, http://www.darphane.gov.tr. Erişim Tarihi: 25.12.2017.http://coin-turk.com/e/bitcoin-fiyat-tahminleri Erişim Tarihi: 25.12.2017https://teknochain.com/kripto-para-sektoru-hakkinda-ilk-e-kitap-paranin-sifresi-bitcoin/.Erişim Tarihi: 30.12.2017. https://blockchain.info/tr Erişim Tarihi: 21.12.2017.https://tr.investing.com/ Erişim Tarihi : 08.01.2018.