Artificial Intelligence in Sustainable Finance: Transforming Carbon Credit Trading and Green Bond Markets.
Year: 2025
Type: article
Abstract: The rising demand for carbon credits and green bonds has strengthen their role as essential financial instruments in advancing sustainability and eco-friendly initiatives. However, market inefficiencies, pricing inconsistencies, and risk assessment challenges limit their full potential. Artificial Intelligence (AI) is emerging as a transformative force in climate finance, utilizing machine learning, predictive analytics, and blockchain technology to improve efficiency, transparency, and decision-making in these markets. This study examines AI’s role in optimizing efficiency of carbon credit trading and enhancing risk assessment and pricing accuracy in green bond markets. AI-driven technologies improve liquidity, ensure data integrity, and automate compliance, fostering more reliable and efficient climate finance systems. The research findings validate that AI significantly enhances efficiency in carbon credit trading while improving pricing accuracy and risk evaluation in green bonds, reinforcing AI’s role as a key driver of market optimization. The results emphasize the need for greater AI integration in climate finance to address existing limitations and strengthen market transparency. As AI continues to evolve, its role in sustainable finance will be critical in ensuring more reliable, accurate, and data-driven decision-making in carbon markets.
Author: Menon, CA Sandhya
Language: English
Subfield: Finance
Domain: Social Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W6893356975
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