Time Series Predictive Analysis of Bitcoin Price

DOI

10.2991/978-94-6463-030-5_56How to use a DOI?

Keywords

Bitcoin; ARIMA; GARCH; Correlation; Time Series

Abstract

As a great innovation in virtual currency, bitcoins have the possibility to survive perpetually, although they are like gigantic bubbles. However, no matter whether bitcoins could survive or not, the technology used by bitcoins will exist and develop. There is a great possibility for bitcoins to be served in the intending currency, being issued, supported, and controlled by the government. Consequently, the research for bitcoins is meaningful. To explore the time relationship of bitcoins and give a prediction about the future price based on the given data, ARIMA and GARCH models are used in this paper. Although both of the two models failed to provide the accurate forecasts at the end of this research, they still proved the correlation within time series of bitcoins.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruihan Yan
PY  - 2022
DA  - 2022/12/20
TI  - Time Series Predictive Analysis of Bitcoin Price
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 556
EP  - 569
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_56
DO  - 10.2991/978-94-6463-030-5_56
ID  - Yan2022
ER  -