How far and how fast could Bitcoin fall?
Chung Baek ()
Additional contact information
Chung Baek: Troy University
Journal of Economics and Business Letters, 2026, vol. 6, issue 4, 1-10
Abstract:
Because Bitcoin typically exhibits higher volatility than traditional assets, evaluating and managing its risk is essential. We estimate Bitcoin’s potential maximum drawdowns (MDDs) using Monte Carlo simulations based on a stochastic jump process and assess the likelihood of substantial declines in the coming years. Based on our results, the simulation results suggest that an MDD of at least 60% is highly probable within three to four years, while an MDD of at least 70% appears plausible within five years. Moreover, our sensitivity analysis indicates that the MDD of Bitcoin is most strongly influenced by jump intensity. These results offer critical insights for market participants seeking to analyze Bitcoin’s downside risk and formulate strategies to navigate potential market downturns.
Keywords: bitcoin; maximum drawdown; monte carlo simulation; stochastic jump process (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journal.privietlab.org/download.php?id=12573 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:prv:jeblpv:1950
Ordering information: This journal article can be ordered from
https://journal.priv ... BL/article/view/1950
DOI: 10.55942/jebl.v6i4.1950
Access Statistics for this article
More articles in Journal of Economics and Business Letters from Privietlab Research Center
Bibliographic data for series maintained by Mochammad Fahlevi ().