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  Citation Number 21
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Asimetrik Volatilitenin Tahmini: Kripto Para Bitcoin Uygulaması
2018
Journal:  
Bilecik Şeyh Edebali Üniversitesi Sosyal Bilimler Dergisi
Author:  
Abstract:

Bitcoin, merkezi bir otoriteye veya finansal bir kuruluşa bağlı olmayan ve kriptografik özellikler içeren dijital (kripto) paralardan biridir. Bitcoin’ in Merkezi otoriteye bağlı olmaması ve fiyatını etkileyen faktörlerin arz ve talep ile açıklanması yüksek volatite ile sonuçlanmıştır. Son dönemlerde yatırımcıların en büyük endişesi fiyatlardaki aşırı volatilite durumudur. Çalışmada Blockchain Teknolojisi, Madencilik ve Blockchain Teknolojisinin bir çıktısı olan Bitcoin kısaca anlatılmıştır. Çalışmanın uygulama bölümünde literatürde sıklıkla kullanılan yöntemlerden olan ve asimetrik volatilitenin belirlenmesi amacıyla ARCH, GARCH, ARCHM, EGARCH ve TARCH modelleri kullanılmıştır. Bu amaçla Bitcoin/USD kuru kapanış fiyatlarından Bitcoine ilişkin tarihsel getiriler hesaplanmıştır. Hesaplama dönemi 01.01.2015-11.02.2018 olarak belirlenmiştir. Yapılan analizler sonucunda volatilite tahmini için en iyi sonuç veren TARCH yöntemi bulunmuştur. 

Keywords:

Forecast of Asymmetric Volatility: Cryptocurrency Bitcoin Application
2018
Author:  
Abstract:

Bitcoin is one of the digital (crypto) currencies that is not linked to a central authority or financial institution and contains cryptocurrency features. The fact that Bitcoin is not connected to the Central Authority and the fact that the factors affecting its price are explained by supply and demand has resulted in high volatility. In recent years, the biggest concern of investors is the situation of excessive volatility in prices. The study describes bitcoin, which is an output of Blockchain Technology, Mining and Blockchain Technology, in short. In the application section of the study, the methods that are commonly used in literature and asymmetric volatility were used by ARCH, GARCH, ARCHM, EGARCH and TARCH models. For this purpose, the historical returns related to Bitcoin from Bitcoin/USD currency closing prices are calculated. The calculation period is determined as 01.01.2015-11.02.2018. The results of the analysis have found the TARCH method that provides the best results for the volatility forecast.

Keywords:

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Bilecik Şeyh Edebali Üniversitesi Sosyal Bilimler Dergisi

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

Metrics
Article : 228
Cite : 724
Bilecik Şeyh Edebali Üniversitesi Sosyal Bilimler Dergisi