AI × DeFi × Sustainability: Redesigning the Operating System of Global Finance

A Special Issue of FinTech (ISSN 2674-1032).

Deadline for manuscript submissions: 31 December 2026 | Viewed by 2213

Editors


E-Mail Website
Guest Editor
1. Center for Financial and Monetary Research—Victor Slavescu, Romanian Academy, 050711 Bucharest, Romania
2. Department of Finance and Banking, Faculty of Economic Sciences, Romanian-American University, 012101 Bucharest, Romania
Interests: sustainable development; banking and finance; financial analysis; innovation; food systems; sustainable economic development; financial management; finance; sustainable consumption and production; economy; new technology; value chain analysis; EU and European studies; financial technologies; international financial relations; green bonds; financial instruments and investment funds; rural development; financial markets; investment financial services; stocks; sustainability risk management; climate change; financial economics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Graduate School of Economics, Kobe University, Rokkodai, Nada-Ku, Kobe 657-8504, Japan
2. Faculty of Political Science and Economics, Yamato University, Katayama-cho, Suita 564-0082, Japan
Interests: applied time series analysis; empirical finance; data science; international finance
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Institute of National Economy, Romanian Academy, Casa Academiei, Calea 13 Septembrie 13, Sector 5, 050 711 Bucharest, Romania
2. Faculty of Economics and Business Administration, "Nicolae Titulescu" University from Bucharest, Calea Vacaresti nr 174, Sector 3, 031 016 Bucharest, Romania
Interests: labor economics; human resources; social policies; population mobility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to examine how the convergence of Artificial Intelligence (AI), Decentralized Finance (DeFi), and sustainability principles is fundamentally redesigning the operating system of global finance. It seeks to advance scholarly understanding of how intelligent, decentralized, and technology-driven financial architectures are reshaping financial institutions, markets, and payment systems, while supporting long-term economic, social, and environmental sustainability.

The Special Issue encourages interdisciplinary research that explores both the opportunities and challenges arising from the integration of AI-driven analytics, decentralized financial infrastructures, and sustainable finance frameworks. Contributions may adopt theoretical, empirical, or applied perspectives and should address how FinTech innovations contribute to resilient, inclusive, and responsible financial ecosystems.

Key areas of interest include, but are not limited to, the following:

  • Business innovation models, collaborative and circular economy frameworks, and their role in sustainable financial development;
  • Design, development, and adoption of innovative financial instruments, including blockchain technologies, cryptocurrencies, smart contracts, and decentralized finance (DeFi) applications;
  • The role of Artificial Intelligence and machine learning in enhancing FinTech solutions, including risk management, fraud detection, credit scoring, governance automation, and customer personalization;
  • The contribution of AI-enabled FinTech and DeFi solutions to environmental, social, and governance (ESG) objectives, green finance, and sustainable economic practices;
  • Open banking, digital payments, InsurTech, and next-generation financial platforms powered by AI and decentralized infrastructures
  • Social, ethical, and trust-related implications of financial digitization, automation, and decentralization
  • Regulatory, supervisory, and compliance challenges related to AI adoption, DeFi ecosystems, and sustainable finance standards
  • The impact of FinTech, AI, and DeFi on financial inclusion, accessibility, and affordability of financial services, particularly in underserved and emerging markets;
  • The role of the metaverse, digital platforms, continuous learning systems, and advanced data architectures in the future of finance;
  • Case studies and best practices illustrating successful implementation of AI-, DeFi-, and sustainability-oriented financial solutions across sectors and regions;
  • European and global policy frameworks, agreements, and partnerships shaping sustainable and digital finance ecosystems;
  • Sustainability strategies in global economic sectors with significant local and regional impacts.
  • The interaction between Artificial Intelligence, Sustainable Development Goals (SDGs), and responsible innovation;
  • Implications for human capital, workforce transformation, and the future of jobs in AI-driven and decentralized financial systems.

This Special Issue aims to provide a comprehensive perspective on how AI, DeFi, and sustainability collectively form a new financial operating system, one that is intelligent, decentralized, inclusive, and aligned with sustainable development objectives.

Prof. Dr. Manta Otilia
Prof. Dr. Shigeyuki Hamori
Prof. Dr. Valentina Vasile
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. FinTech is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • FinTech innovation
  • artificial intelligence in finance
  • decentralized finance (DeFi)
  • sustainable finance
  • ESG and sustainable economy
  • blockchain and cryptocurrencies
  • green finance
  • digital banking and payments
  • financial inclusion
  • innovative financial instruments
  • risk management and compliance
  • regulatory challenges
  • open banking and InsurTech
  • AI governance and ethics
  • human resources and the future of work
  • sustainable development

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

25 pages, 15051 KB  
Article
Network-Aware FinTech Intelligence for ESG Risk Forecasting: A Graph Neural Network and Transformer-Based NLP Approach
by Michael A. Aruwaji and Ferina Marimuthu
FinTech 2026, 5(3), 70; https://doi.org/10.3390/fintech5030070 - 8 Aug 2026
Viewed by 360
Abstract
Environmental, Social, and Governance (ESG) risks increasingly propagate across interconnected supply chains, yet conventional ESG assessment methods remain largely reliant on firm-level disclosures and static ESG ratings that often overlook indirect risk transmission among trading partners. This study develops a network-aware artificial intelligence [...] Read more.
Environmental, Social, and Governance (ESG) risks increasingly propagate across interconnected supply chains, yet conventional ESG assessment methods remain largely reliant on firm-level disclosures and static ESG ratings that often overlook indirect risk transmission among trading partners. This study develops a network-aware artificial intelligence (AI) framework for forecasting ESG risk by integrating Graph Neural Networks (GNNs), transformer-based natural language processing (NLP), explainable AI, and conventional machine-learning techniques. The proposed framework combines supply-chain network structures, shipment-level trade information, ESG controversy records, governance indicators, and transformer-derived ESG sentiment extracted using FinBERT and RoBERTa. Using a dataset of 11,386 firms across 27 industries from 2015 to 2025, the proposed GNN achieved the highest predictive performance, outperforming conventional machine-learning models with an ROC-AUC of 0.913. The results further demonstrate that supply-chain network centrality and transformer-derived ESG sentiment substantially improve the early identification of firms exposed to future ESG controversies. By integrating network relationships with textual ESG intelligence, the proposed framework advances FinTech-enabled ESG analytics and provides a scalable approach for proactive risk monitoring, sustainable investment decision-making, and supply-chain risk management. Full article
Show Figures

Figure 1

14 pages, 288 KB  
Article
Artificial Intelligence and Financial Market Connectedness: Evidence from AI-Related Equities, Cryptocurrencies, and Global Assets
by Shigeyuki Hamori
FinTech 2026, 5(2), 40; https://doi.org/10.3390/fintech5020040 - 6 May 2026
Cited by 1 | Viewed by 889
Abstract
The rapid expansion of artificial intelligence (AI), particularly with the rise of generative AI technologies, has attracted increasing attention in financial markets. This study examines how the recent AI boom relates to changes in the interconnectedness of global financial markets. Using daily data [...] Read more.
The rapid expansion of artificial intelligence (AI), particularly with the rise of generative AI technologies, has attracted increasing attention in financial markets. This study examines how the recent AI boom relates to changes in the interconnectedness of global financial markets. Using daily data from January 2021 to December 2025, we analyze spillover dynamics among AI-related equities, cryptocurrencies, and traditional financial assets within a time-varying parameter vector autoregression (TVP-VAR) framework. Our findings indicate that the emergence of generative AI is not associated with a uniform increase in financial connectedness. Instead, the overall level of connectedness declines modestly following the public release of ChatGPT by OPENAI in November 2022, while the structure of spillovers undergoes significant changes. In particular, AI-related equities initially act as net transmitters of shocks, but their relative importance diminishes over time. In contrast, broader equity markets, proxied by the S&P 500, remain the dominant source of spillovers throughout the sample period. These results are robust to alternative model specifications, including different lag lengths and forecast horizons. Overall, the findings suggest that the impact of AI on financial markets is better understood as a structural transformation of interconnectedness rather than a simple intensification of linkages. This study contributes to the literature by providing new evidence on how technological innovation reshapes financial spillover networks and highlights the importance of considering both the level and structure of connectedness in assessing systemic risk. Full article
Show Figures

Figure 1

Back to TopTop