FinTech, AI and green outcomes

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Authors: Merve Coskun, Nigar Taşpınar, Gbenga Adamolekun
Cited by: 2
References: 37

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