Financial Innovation journal maps 26 studies of AI, green finance and digital assets in its 58th issue

The 58th issue of the journal Financial Innovation, Volume 12, No. 4 (2026), presents 26 papers that together map the fast-moving frontier of contemporary financial research. In an editor’s introduction, Gang Kou organizes the studies into five thematic categories: AI, financial technology and digital financial innovation; finance, green energy and climate-related finance; cryptocurrency, blockchain and digital asset markets; financial markets, portfolio management and market efficiency; and financial development, macroeconomics and international finance. According to the introduction, the papers collectively employ diverse theoretical frameworks, advanced analytical methods, and evidence from both developed and emerging markets to advance understanding of financial systems and their evolving challenges.

The first cluster of studies probes how machine learning and related computational tools are reshaping financial decision-making. Ha and colleagues (2026) evaluate machine learning models for portfolio optimization with high-dimensional data, showing that they outperform traditional allocation strategies and significantly improve investment performance. Wang and colleagues (2026) examine cross-sectional stock return prediction in China’s A-share market using machine learning and deep learning models, introducing a novel nonlinear factor identification method and evaluation metric to demonstrate the superior predictive and portfolio performance of deep learning approaches. Bustarviejo and colleagues (2026) evaluate the effectiveness of cross-sectional market state information for short-horizon asset price forecasting, finding that predictive performance depends on the forecasting target and the market environment.

Other studies in this cluster connect artificial intelligence to risk, infrastructure and the real economy. Islam and colleagues (2025) examine the asymmetric effects of geopolitical risk, sovereign inflation-linked bonds, and critical mineral prices on AI-driven fintech outputs, offering evidence and policy insights to strengthen resilience against geopolitical and resource-related shocks. Xiong and colleagues (2026) propose a telematics-based dynamic pricing system for automobile insurance, showing that integrating real-time driving behavior and a learning effect significantly improves risk assessment, pricing accuracy, and actuarial fairness. Zhang and colleagues (2026) investigate the impact of computing power infrastructure on corporate financialization; using a quasi-natural experiment and causal analysis, they demonstrate that computing power deployment curbs excessive financialization, promotes real investment, and provides policy insights for advancing the real economy.

The second thematic group turns to green energy and climate-related finance. Nur and colleagues (2026) investigate the determinants of natural resource management in EU countries, highlighting the roles of economic complexity, financial development, financial innovation, and the green transition in achieving sustainable development. Mo and colleagues (2026) examine how corporate climate risk disclosure affects stock mispricing, showing that greater disclosure improves pricing efficiency by reducing information asymmetry and supporting more rational investor decision-making. Li and Lin (2026) examine how business expansion affects inefficient investment in China’s renewable energy sector, identifying entry barriers and offering policy implications for sustainable industry development and corporate growth strategies. Yang and colleagues (2026) examine the roles of green and digital finance in promoting energy transition in China, highlighting the importance of tailored financial strategies for achieving sustainable development and carbon reduction goals.

Adding a methodological lens to this area, Ding and colleagues (2026) review the evolution of sustainable finance research using systematic literature review, bibliometric analysis, and BERTopic modeling. The study identifies key developmental phases, thematic dimensions, and emerging trends, providing insights into the transformation of sustainable finance and future research directions. Taken together, the green finance papers suggest that disclosure quality, financial innovation and tailored instruments are increasingly treated as measurable drivers of pricing efficiency and the energy transition, rather than as background policy aspirations.

The third category concentrates on cryptocurrency, blockchain and digital asset markets, an area where volatility and interconnection dominate the research agenda. Cifuentes-Faura and colleagues (2026) investigate dynamic spillover effects among carbon finance, artificial intelligence, green energy markets, and Bitcoin using decomposed connectedness and portfolio analysis, revealing market interdependencies, hedging opportunities, and investment strategies for managing risks during financial and geopolitical uncertainty. Ullah and colleagues (2026) examine spillover effects among ReFi tokens, renewable energy tokens, energy, and carbon markets, highlighting their diversification potential and implications for sustainable investment and climate finance development.

Risk transmission and market dynamics receive further attention in this cluster. Gemici and colleagues (2026) investigate risk connectivity among cryptocurrencies using high-frequency data and higher-order moments during global crises, identifying key shock transmitters and absorbers and revealing dynamic spillover patterns with implications for targeted cryptocurrency risk management strategies. Vanheusden and colleagues (2026) apply Recurrence Quantification Analysis to cryptocurrency markets, demonstrating its ability to capture nonlinear dynamics, distinguish market states, and support investment decisions and systemic risk monitoring. Yerushalmi and Paladini (2026) explore blockchain’s potential to reshape financial intermediation by identifying key adoption barriers and providing insights into the regulatory and technological conditions required for broader diffusion and welfare improvement.

The fourth category addresses financial markets, portfolio management and market efficiency. Fortes de Almeida and colleagues (2026) examine the weak-form efficiency of European banking markets using DFA methods, highlighting the impacts of crises on return dynamics and offering implications for risk management and financial stability. Ehler and colleagues (2026) develop a behavioral portfolio optimization framework under stochastic volatility using an affine GARCH model, demonstrating how volatility dynamics influence asset allocation decisions and performance and highlighting the importance of incorporating stochastic volatility into investment strategies. Mensi and colleagues (2026) examine volatility connectedness between green cryptocurrencies and traditional green assets, highlighting their diversification limits, hedging potential, and implications for sustainable investment strategies under extreme market conditions.

Two further studies round out this group with a focus on costs and adaptability. Boido and Fulci (2026) develop the Information Ratio Threshold (IRT) to assess active management fee efficiency, demonstrating that higher cost intensity reduces net information ratios and providing insights for fund governance and investment evaluation. Saghiri and Louati (2026) investigate market adaptability in Morocco using LSTM-based forecasting, demonstrating regime-dependent predictive performance and providing evidence for the adaptive market hypothesis under changing financial conditions. Both papers underline a recurring theme of the issue: markets and the strategies that trade them are evaluated against changing conditions rather than static benchmarks.

The final category spans financial development, macroeconomics and international finance. Apergis and colleagues (2026) examine the evolution of financial development in EU27 countries using a club convergence approach, identifying convergence patterns, determinants of financial development disparities, and policy implications for strengthening financial integration and reducing systemic risks. Makiela and Ouattara (2026) investigate the impact of foreign direct investment on total factor productivity growth using a dynamic heterogeneous panel threshold model, revealing the importance of FDI trajectories over levels, particularly in developing countries, and providing policy implications for sustainable economic growth. Bilgili and colleagues (2026) evaluate the feasibility of the East African Monetary Union by examining monetary transmission mechanisms across EAC countries; using panel SVAR analysis, they reveal how regional and country-specific shocks affect key macroeconomic variables and provide policy insights for monetary integration. Tang (2026) develops a search-based financial awareness index using Google Trends data to measure household financial knowledge, demonstrating that greater financial awareness is associated with increased retirement savings and highlighting the potential of online search data for household finance research. Ullah and Joshi (2026) investigate how digital remittance receipt influences access to mobile-money-enabled financial services among unbanked individuals in South Asia; using Global Findex data and robust empirical methods, they reveal the role of digital remittances in promoting financial inclusion. As a whole, the issue’s editors present the 26 papers as evidence that financial innovation is being studied simultaneously at the level of algorithms, markets, institutions and households, with methods ranging from quasi-natural experiments and panel models to deep learning and recurrence analysis applied across developed and emerging economies.

Subject of Research: An editorial introduction to the 58th issue of Financial Innovation, which presents 26 papers across five thematic areas of contemporary finance research.

Article Title: Editor’s introduction

Article References: Kou, G. (2026). Editor’s introduction. Financial Innovation, 12(1), Article 147. https://doi.org/10.1186/s40854-026-00964-3

Image Credits: AI Generated

DOI: 10.1186/s40854-026-00964-3

Keywords: Financial Innovation, artificial intelligence, machine learning, green finance, cryptocurrency, blockchain, portfolio management, financial development, sustainable finance, digital assets, editorial, Editor