Araştırma Makalesi

STOK AKIŞ MODELİ VE FACEBOOK PROPHET ALGORİTMASI İLE BİTCOİN FİYATI TAHMİNİ / Prediction of Bitcoin Price with Stock to Flow Model and Facebook Prophet Algorithm

Cilt: 5 Sayı: 1 30 Nisan 2021
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PREDICTION OF BITCOIN PRICE WITH STOCK TO FLOW MODEL AND FACEBOOK PROPHET ALGORITHM / Stok Akış Modeli Ve Facebook Prophet Algoritması İle Bitcoin Fiyatı Tahmini

Abstract

Whether money is solid or not can be understood by looking at two values. The first is the stock status indicating the supply and the second is the flow value indicating the unit to be produced in the ongoing process. The ratio between stock and flow can be expressed as an indicator of the strength of the good defined as money. Bitcoin is a cryptocurrency whose total supply is limited to 21,000,000 units. The limited supply is considered as a factor that will increase its price. The Stock Flow Model can also be used for assets with limited supply. In this study, Bitcoin price prediction is made using the Facebook Prophet algorithm which is one of the time series analysis models. Bitcoin data between 2013-2020 were used, the Stock to Flow Rate obtained from the Stock Flow Model was also added to the model, unlike other studies. According to the results of the study supported by the accuracy measures, it was concluded that the performance of the model increased when the Facebook Prophet algorithm was used by including the Stock Flow Ratio in the model.

Keywords

Teşekkür

Bu çalışmada ifade edilen görüşler yazarlara ait olup, çalıştıkları kurumların görüşleri olarak yorumlanmamalıdır. Stok Akış Modeli uygulamalarına ilham veren PlanB (@100trillionUSD) ile veri setinin elde edilmesinde yardımcı olan Rob Wolfram’a (@hamal03) saygılar sunarız.

Kaynakça

  1. Akdağ, M. (2019). Kripto Paralizasyon ve Türkiye Ekonomisi için bir Uygulama. (Yayınlanmamış Doktora Tezi). Atatürk Üniversitesi Sosyal Bilimler Enstitüsü. Erzurum.
  2. Ali, M., & Shatabda, S. (2020). A Data Selection Methodology to Train Linear Regression Model to Predict Bitcoin Price. In 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT) (pp. 330-335). IEEE.
  3. Ammous, S. (2018). The Bitcoin Standard: The Decentralized Alternative To Central Banking. John Wiley & Sons.
  4. Awoke, T., Rout, M., Mohanty, L., & Satapathy, S. C. (2021). Bitcoin Price Prediction And Analysis Using Deep Learning Models. In Communication Software and Networks (pp. 631-640). Springer, Singapore.
  5. Baek, C., & Elbeck, M. (2015). Bitcoins As An Investment Or Speculative Vehicle? A First Look. Applied Economics Letters, 22(1), 30-34.
  6. Bouoiyour, J., & Selmi, R. (2015). What does Bitcoin look like?. Annals of Economics and Finance, 16(2), 449-492.
  7. Böhme, R., Christin, N., Edelman, B., & Moore, T. (2015). Bitcoin: Economics, Technology, And Governance. Journal Of Economic Perspectives, 29(2), 213-38.
  8. Buchholz, M., Delaney, J., Warren, J., & Parker, J. (2012). Bits And Bets, Information, Price Volatility, And Demand For Bitcoin. Economics, 312, 2-48.

Ayrıntılar

Birincil Dil

Türkçe

Konular

Ekonomi

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Nisan 2021

Gönderilme Tarihi

12 Şubat 2021

Kabul Tarihi

29 Mart 2021

Yayımlandığı Sayı

Yıl 1970 Cilt: 5 Sayı: 1

Kaynak Göster

APA
Akdağ, M., & Bozma, G. (2021). STOK AKIŞ MODELİ VE FACEBOOK PROPHET ALGORİTMASI İLE BİTCOİN FİYATI TAHMİNİ / Prediction of Bitcoin Price with Stock to Flow Model and Facebook Prophet Algorithm. Uluslararası Ekonomi İşletme ve Politika Dergisi, 5(1), 16-30. https://doi.org/10.29216/ueip.878925

Cited By

Uluslararası Ekonomi, İşletme ve Politika Dergisi

Recep Tayyip Erdoğan Üniversitesi
İktisadi ve İdari Bilimler Fakültesi
İktisat Bölümü
RİZE / TÜRKİYE