Author
Listed:
- Mirzat Ullah
(Ural Federal University)
- Kazi Sohag
(Ural Federal University)
- Svetlana Doroshenko
(Ural Federal University)
- Oleg Mariev
(Ural Federal University)
Abstract
This study examines the investment strategies of Bitcoin along with equity, bonds, precious metals and the exchange rate volatility in the context of Russia–Ukraine conflict. The study analyzes daily data from January 1, 2018, to May 30, 2023, with unveiling a saga of financial resilience and strategic foresight. Against the backdrop of geopolitical upheaval, this study employs three sophisticated GARCH estimation models, artfully deciphering the nuanced hedging, diversification, and safe haven attributes of Bitcoin along with conventional financial assets within the Russian financial milieu. Within this intricate tapestry, the GJR-GARCH model emerges as a virtuoso, offering unparalleled precision in forecasting volatility and unraveling correlations among the underlined assets. Bitcoin's prowess as a hedge comes to the forefront, bestowing investors with the strategic advantage of risk diversification, while government bonds observed least attractive assets during the crisis period. Delving deeper into risk assessment, this research harnesses the potent tools of Value at Risk (VaR) and Conditional Value at Risk (CVaR). These estimations paint a vivid portrait of potential portfolio losses during times of crisis, providing a compass for prudent financial decision-making. In the crucible of crisis, Bitcoin emerges as a beacon of investment, witnessing a remarkable surge in adoption amidst heightened volatility and uncertainty. A symphony of market forces unfolds, where negative news resonates with greater intensity than its positive counterpart, underscoring the imperative of judicious asset allocation for effective risk mitigation. This study not only unfurls a compelling narrative for astute investors but also serves as a compass for policymakers navigating the treacherous waters of high market volatility and geopolitical uncertainties.
Suggested Citation
Mirzat Ullah & Kazi Sohag & Svetlana Doroshenko & Oleg Mariev, 2025.
"Examination of Bitcoin Hedging, Diversification and Safe-Haven Ability During Financial Crisis: Evidence from Equity, Bonds, Precious Metals and Exchange Rate Markets,"
Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 835-867, July.
Handle:
RePEc:kap:compec:v:66:y:2025:i:1:d:10.1007_s10614-024-10710-5
DOI: 10.1007/s10614-024-10710-5
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
More about this item
Keywords
;
;
;
;
;
;
;
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:66:y:2025:i:1:d:10.1007_s10614-024-10710-5. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.