| Issue |
E3S Web Conf.
Volume 687, 2026
The 2nd International Conference on Applied Sciences and Smart Technologies (InCASST 2025)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 12 | |
| Section | Environmental Developments & Sustainable Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202668701015 | |
| Published online | 15 January 2026 | |
Modelling Bitcoin Price Volatility and The Bitcoin Mining Dilemma on Global Health
Department of Mathematics, Sanata Dharma University, Yogyakarta, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
In the digital age, Bitcoin remains the first and most notable cryptocurrency. Over the years, its value has increased, making it a desirable digital asset with millions of enthusiasts who trade and invest daily. Bitcoin is highly volatile in comparison with traditional assets and in absolute terms. Understanding its volatility history helps investors decide whether to buy, sell, or hold. A mathematical model that accounts for volatility is essential for these decisions. Unfortunately, Bitcoin’s vast profit potential for investors comes with the dilemma of its negative impact on global environmental health, which needs serious attention. This study aims to model Bitcoin’s return volatility that can support investment decisions and, on the other hand, the negative impact of Bitcoin mining and outline the actions necessary to mitigate it.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.