Yıl 2018, Cilt 2, Sayı 2, Sayfalar 74 - 92 2018-05-31

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

Eyyüp Ensari ŞAHİN [1]

74 261

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.
Blockchain, Bitcoin, ARIMA, Artifical Neural Networks
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Birincil Dil en
Konular Ekonomi ve İşletme
Yayımlanma Tarihi May
Dergi Bölümü Makaleler
Yazarlar

Orcid: 0000-0003-2110-7571
Yazar: Eyyüp Ensari ŞAHİN (Sorumlu Yazar)
Kurum: HİTİT ÜNİVERSİTESİ
Ülke: Turkey


Bibtex @araştırma makalesi { fsecon396761, journal = {Fiscaoeconomia}, issn = {}, eissn = {2564-7504}, address = {Ahmet Arif EREN}, year = {2018}, volume = {2}, pages = {74 - 92}, doi = {10.25295/fsecon.2018.02.005}, title = {Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks}, key = {cite}, author = {ŞAHİN, Eyyüp Ensari} }
APA ŞAHİN, E . (2018). Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks. Fiscaoeconomia, 2 (2), 74-92. DOI: 10.25295/fsecon.2018.02.005
MLA ŞAHİN, E . "Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks". Fiscaoeconomia 2 (2018): 74-92 <http://dergipark.gov.tr/fsecon/issue/37017/396761>
Chicago ŞAHİN, E . "Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks". Fiscaoeconomia 2 (2018): 74-92
RIS TY - JOUR T1 - Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks AU - Eyyüp Ensari ŞAHİN Y1 - 2018 PY - 2018 N1 - doi: 10.25295/fsecon.2018.02.005 DO - 10.25295/fsecon.2018.02.005 T2 - Fiscaoeconomia JF - Journal JO - JOR SP - 74 EP - 92 VL - 2 IS - 2 SN - -2564-7504 M3 - doi: 10.25295/fsecon.2018.02.005 UR - http://dx.doi.org/10.25295/fsecon.2018.02.005 Y2 - 2018 ER -
EndNote %0 Fiscaoeconomia Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks %A Eyyüp Ensari ŞAHİN %T Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks %D 2018 %J Fiscaoeconomia %P -2564-7504 %V 2 %N 2 %R doi: 10.25295/fsecon.2018.02.005 %U 10.25295/fsecon.2018.02.005
ISNAD ŞAHİN, Eyyüp Ensari . "Crypto Money Bitcoin: Price Estimation With ARIMA and Artificial Neural Networks". Fiscaoeconomia 2 / 2 (Mayıs 2018): 74-92. http://dx.doi.org/10.25295/fsecon.2018.02.005