Innovations of Digital Finance, Green Finance, Climate Finance and Financial Risk in the AI Era
Topic Information
Dear Colleagues,
The integration of Artificial Intelligence (AI) into finance represents a paradigm shift, leveraging advanced algorithms, machine learning, and big data analytics to fundamentally transform financial decision-making, product design, and risk management. AI is catalyzing innovations across the financial spectrum, from automating processes and enhancing predictive accuracy to enabling entirely new business models and governance frameworks. Its applications span research, regulatory technology (RegTech), sustainable investing, and systemic risk assessment, profoundly impacting markets and institutions.
In this Topic, we focus on the synergistic innovations at the intersection of AI and key financial domains: Digital Finance, Green Finance, and Climate Finance, alongside the evolving landscape of Financial Risk. Historically, AI has been instrumental in algorithmic trading, credit scoring, and fraud detection. Today, its transformative potential is being harnessed to tackle more complex challenges. In Digital Finance, AI powers decentralized finance (DeFi) protocols, personalized financial services, and smart regulatory compliance. For Green and Climate Finance, AI drives the assessment of environmental risks, the monitoring of sustainability metrics, the optimization of green asset portfolios, and the modeling of climate-related financial impacts. Concurrently, the AI era introduces novel financial risks—such as model opacity, algorithmic bias, data vulnerability, and interconnected systemic fragilities—demanding innovative identification, measurement, and mitigation strategies.
The Topic “Innovations of Digital Finance, Green Finance, Climate Finance and Financial Risk in the AI Era” provides a platform to publish both comprehensive reviews (examining theoretical advancements, ethical considerations, and policy implications) and original research papers (featuring empirical analyses, case studies, and novel methodologies). We welcome diverse perspectives that support, critique, or explore the responsible evolution of this field. Please join us in creating a robust and interdisciplinary collection of articles. We look forward to receiving your contributions.
Prof. Dr. Qian Li
Prof. Dr. Canzhong Yao
Topic Editors
Keywords
- digital finance
- green finance
- climate finance
- sustainable finance
- financial risk
- artificial intelligence
- FinTech
- machine learning
- blockchain
- big data
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
FinTech
|
- | 6.2 | 2022 | 20.2 Days | CHF 1200 | Submit |
International Journal of Financial Studies
|
2.2 | 4.6 | 2013 | 19.7 Days | CHF 1800 | Submit |
Journal of Risk and Financial Management
|
- | 5.0 | 2008 | 18.8 Days | CHF 1600 | Submit |
Platforms
|
- | - | 2023 | 15.0 days * | CHF 1000 | Submit |
Risks
|
1.5 | 5.0 | 2013 | 20 Days | CHF 1800 | Submit |
Sustainability
|
3.3 | 7.7 | 2009 | 17.9 Days | CHF 2400 | Submit |
* Median value for all MDPI journals in the second half of 2025.
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