FinTech, AI and green outcomes
Abstract
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.
Fields of Study & Subjects
Market Dynamics and Volatility
Sustainable Finance and Green Bonds
COVID-19 Pandemic Impacts
Publication details
- Journal / source
- International Review of Economics & Finance
- Publisher
- Elsevier BV
- Volume
- 106
- Pages
- 104924–104924
- Publication date
- 20 January 2026
- Language
- EN