Volatility Spillovers Between Financial Markets and Cryptocurrencies

Lamia Sebai et al.

Journal of Prediction Markets2025https://doi.org/10.5750/jpm.v19i1.2214article
AJG 1
Weight
0.50

What the paper says

This paper analyses the relationships between the volatilities of five major stock markets (S&P 500, CAC 40, DAX, FTSE 100, and Nikkei 225) and five cryptocurrencies (Bitcoin, Dash, Ethereum, Monero, and Ripple), (WTI), and gold. The GARCH model, which describes the volatility of financial assets and cryptocurrencies, was used. A significant and higher volatility spillover was observed across these market pairs. The conditional correlation between Bitcoin and other cryptocurrencies is time-varying, but the conditional correlations between crypto-currencies and gold and all assets are negative during the period (2017-2018) and positive. At the beginning of the COVID-19 crisis, the conditional correlation between cryptocurrencies, stock indices, and WTI increased, which confirms the impact of COVID-19 related contagion between them.Our findings show that cryptocurencies and gold are considered hedges for the international investors during the period 2017-2018.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.5750/jpm.v19i1.2214

Or copy a formatted citation

@article{lamia2025,
  title        = {{Volatility Spillovers Between Financial Markets and Cryptocurrencies}},
  author       = {Lamia Sebai et al.},
  journal      = {Journal of Prediction Markets},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.5750/jpm.v19i1.2214},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Volatility Spillovers Between Financial Markets and Cryptocurrencies

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.