Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/28235
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAnavatan, Aygül-
dc.contributor.authorYalçın Kayacan, Eda-
dc.date.accessioned2019-12-25T13:55:23Z-
dc.date.available2019-12-25T13:55:23Z-
dc.date.issued2018-
dc.identifier.isbn978-605-67622-3-9-
dc.identifier.urihttps://hdl.handle.net/11499/28235-
dc.description.abstractBitcoin is the most radical of the cryptocurrencies which are becoming popular nowadays. The advantage of the cryptocurrencies is that they are decentralized systems so do not need central banks. The purpose of this study is to determine if there is volatility in the returns of Bitcoin and if so, whether it is predictable. The volatility of the Bitcoin returns was investigated using the log-normal stochastic volatility (SV) model and SV model with leverage for daily data covering the period between 19.12.2011 and 29.01.2018. While there is no significant leverage effect in the Bitcoin returns, it can be said that the volatility is permanent and unpredictable. The unpredictability of Bitcoin returns’ fluctuations suggests that it is risky to use it as an investment tool or currency. It is increasing day by day that Bitcoin takes place of banknotes or digital money, which are conventional means of payment. The more widespread the system, the safer and the more resistant to speculative it will be.en_US
dc.language.isoenen_US
dc.relation.ispartof25th Eurasia Business and Economics Society (EBES) Conferenceen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBitcoin, log-normal stochastic volatility model, stochastic volatility model with leverage, leverage effecten_US
dc.titleAre bitcoin returns predictable? [Conference Object]en_US
dc.typeConference Objecten_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.ownerPamukkale University-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.dept08.08. Econometrics-
crisitem.author.dept17.07. Statistics-
Appears in Collections:Fen-Edebiyat Fakültesi Koleksiyonu
Files in This Item:
File Description SizeFormat 
A9_a_1_özet.pdf5.1 MBAdobe PDFView/Open
Show simple item record



CORE Recommender

Page view(s)

44
checked on Aug 24, 2024

Download(s)

12
checked on Aug 24, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.