Author
Abstract
Our research stands out for its innovative nature, being the first to delve into the impact of the conflict between Israel and Hamas, as well as the war between Russia and Ukraine, on various markets such as crypto-currencies, stock indices, non-renewable energy prices, and Gold. We introduce the Israel-Hamas war Index and the Russia-Ukraine war Index to assess current Geopolitical Risks (GPR). To support our analysis, we conduct a literature review, examining previous studies addressing the influence of GPR. Our analysis focuses on four specific crypto-currencies: XRP, Bitcoin (BTC), Ethereum (ETH), and USDT. Additionally, we examine seven stock indices: the S&P500, Eurozone index (Euro-Stoxx 50), Moscow stock index (MOEX), Kiev stock index (PETS), UK stock index (FTSE 100), Tel Aviv stock index (TA 35), and Philistine stock index (Al-Quads). Prices of non-renewable energies, including Oil, natural Gas and Gold are also part of our analysis. We modeled each traditional financial asset and crypto-currency using the ARMA model at both level and first difference. We examined the existence or absence of heteroscedasticity and autocorrelation issues, as well as the presence of multiple changes using the Bai-Perron test (1998).We detected symmetric volatility using the FIGARCH model and selected only Ripple and Gold as hedging instruments and safe havens against current GPR. We employ the non-parametric wavelet coherence technique to investigate the Co-movement between these indices, energy prices, and the four crypto-currencies. We validated the close Co-movement between stock indices, non-renewable energy prices, and the two famous crypto-currencies (Bitcoin and Ethereum) during these periods of risk. However, there is a total absence of Co-movement between Ripple and Gold with other traditional assets and crypto-assets.
Suggested Citation
Nidhal Mgadmi & Ameni Abidi & Néjib Hachicha & Wajdi Moussa, 2025.
"The Impacts of the Conflicts Between Israel and Hamas, as well as Between Russia and Ukraine, on Financial Assets and Crypto-Currencies,"
Computational Economics, Springer;Society for Computational Economics, vol. 66(2), pages 1671-1689, August.
Handle:
RePEc:kap:compec:v:66:y:2025:i:2:d:10.1007_s10614-024-10776-1
DOI: 10.1007/s10614-024-10776-1
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
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:2:d:10.1007_s10614-024-10776-1. 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.