FinTech, AI and green outcomes
This paper examines dynamic, frequency-based volatility connectedness using daily data from October 24, 2018, to July 6, 2023. It covers indices in artificial intelligence and Fintech, along with key green market indicators like clean energy, green bonds, and carbon emissions. The dynamic analysis shows that volatility connectedness peaks during major global shocks, such as the COVID-19 pandemic, and increases again during the Russia-Ukraine conflict. Frequency analysis reveals that short-term connectedness is dominant, although significant long-term connectedness also exists. Additionally, AI and Fintech are identified as the primary sources of volatility across different time horizons. Robustness tests confirm the reliability and consistency of these findings. Overall, our study highlights the growing integration between technology-driven and environmentally focused markets, especially in times of crisis.
Authors
- Gbenga Adamolekun
- Nigar Taspinar
- Merve Coskun
Institutions
- Edinburgh Napier University (GB)
- Eastern Mediterranean University (CY)
Publication Details
- Journal
- International Review of Economics & Finance
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1016/j.iref.2026.104924
- Primary Topic
- Market Dynamics and Volatility
- Type
- article
- Field-Weighted Citation Impact
- 0.00