KAIZOJI, Taisei

   Professor

   Division of Arts and Sciences, College of Liberal Arts, International Christian University
Language English
Publication Date 2019/01
Type Research Paper
Peer Review With peer review
Title Bitcoin and Investor Sentiment: Statistical Characteristics and Predictability
Contribution Type Joint Work
Journal Physica A
Journal TypeAnother Country
Publisher Elsevier
Volume, Issue, Pages 514,pp.511-521
Author and coauthor Cheoljun Eom, Taisei Kaizoji; Sang Hoon Kang; Lukas Pichl
Details This study empirically investigates the statistical characteristics and predictability of Bitcoin return and volatility. The distribution of Bitcoin returns and volatility display a fat right tail and high central parts. Bitcoin does not show the dynamic property of volatility persistence, contrary to stylized facts in financial time series. Also, the autoregressive model using past volatility does not well work in predicting changes in Bitcoin volatility for future periods. Investor sentiment regarding Bitcoin has a significant information value for explaining changes in Bitcoin volatility for future periods. These results suggest that Bitcoin appears to be an investment asset with high volatility and dependence on investor sentiment rather than a monetary asset.
URL for researchmap https://doi.org/10.1016/j.physa.2018.09.063