Skip to main content
Top

2019 | OriginalPaper | Chapter

An Estimation for Bitcoin Price Volatility

Authors : Murat Akbalık, Melis Zeren, Ömer Sarıgül

Published in: Creative Business and Social Innovations for a Sustainable Future

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

According to public opinion cryptocurrencies, especially bitcoin, have been attention taking lately. This can be addressed to the innovative characteristics of blockchain (the basis of the entire digital currency system), namely, the decentralized structure, not using any intermediaries, being anonymous, fast and secure. Being a fluctuating investment tool, the cryptocurrency system exhibits unpredictable ups and downs that make it a speculative asset. This research tries to estimate the bitcoin price volatility using the GARCH model where four different over-the-counter-market data, such as the BITSTAMP, COINBASE, ITBIT, KRAKEN are employed. The results for these four over-the-counter- markets indicate high volatility. Professionals and individuals occupying with bitcoin should take this speculative structure into consideration.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Literature
1.
go back to reference Bradbury, D.: The problem with Bitcoin. Comput. Fraud Secur. 2013(11), 5–8 (2013)CrossRef Bradbury, D.: The problem with Bitcoin. Comput. Fraud Secur. 2013(11), 5–8 (2013)CrossRef
2.
go back to reference Vranken, H.: Sustainability of bitcoin and blockchains. Curr. Opin. Environ. Sustain. 28, 1–9 (2017)CrossRef Vranken, H.: Sustainability of bitcoin and blockchains. Curr. Opin. Environ. Sustain. 28, 1–9 (2017)CrossRef
4.
go back to reference Cheah, E.T., Fry, J.: Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of bitcoin. Econ. Lett. 130, 32–36 (2015)CrossRef Cheah, E.T., Fry, J.: Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of bitcoin. Econ. Lett. 130, 32–36 (2015)CrossRef
5.
go back to reference Dwyer, G.P.: The economics of bitcoin and similar private digital currencies. J. Financ. Stability 17, 81–91 (2015)CrossRef Dwyer, G.P.: The economics of bitcoin and similar private digital currencies. J. Financ. Stability 17, 81–91 (2015)CrossRef
6.
7.
go back to reference Katsiampa, P.: Volatility estimation for bitcoin: a comparison of GARCH models. Econ. Lett. 158, 3–6 (2017)CrossRef Katsiampa, P.: Volatility estimation for bitcoin: a comparison of GARCH models. Econ. Lett. 158, 3–6 (2017)CrossRef
8.
go back to reference Balcilar, M., Bouri, E., Gupta, R., Roubaud, D.: Can volume predict bitcoin returns and volatility? A quantiles-based approach. Econ. Model. 64, 74–81 (2017)CrossRef Balcilar, M., Bouri, E., Gupta, R., Roubaud, D.: Can volume predict bitcoin returns and volatility? A quantiles-based approach. Econ. Model. 64, 74–81 (2017)CrossRef
Metadata
Title
An Estimation for Bitcoin Price Volatility
Authors
Murat Akbalık
Melis Zeren
Ömer Sarıgül
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-01662-3_3