Ref-Ai: Responsible, Explainable And Fair Ai For Stock-Market Prediction-A Systematic Literature Review With An Illustrative Multi-Market Case Study

Numerous applications were used in the stock market prediction, portfolio optimization, financial trend analysis, and credit risk evaluation [25 Although many

technical analysis in stock market trading. The authors then perform an Explainable stock price movement prediction using contrastive learning. In

Financial forecasting has long been a central focus in academic research and in- dustry, predicting market trends, asset returns, and risk dynamics to inform

Jul 27, 2026 This study proposes a transparent and causally informed framework for predicting future corporate earnings growth from financial statement data

Several studies concentrated on the trade-off between predictive performance and interpretability in financial AI systems. Dessain et al. analyzed the cost of

Sep 3, 2026 Artificial Intelligence (AI) and Machine Learning (ML) are increasingly shaping decision-making across sectors, where financial services are

In short In this exploratory study, AFM presents how AI is reshaping every stage of the trading lifecycle: pre-trade, execution, and post

Jul 15, 2026 Corporate credit ratings play a critical role in lending decisions, investment analysis, portfolio management, and regulatory compliance

Feb 27, 2025 Keep security: XAI can be applied to improve the security of AI applications by revealing potential vulnerabilities to adversarial attacks. The

Aug 7, 2025 2024) introduced a causal rating framework to evaluate black-box AI sys- tems across domains, from sentiment analysis (Lakkaraju Srivastava

They identified the themes of market simulation investment, crude oil commodity dependence, and behavior traders' prices. A systematic literature review is

Machine learning now underpins credit risk, financial distress prediction, ESG scoring, and stock return forecasting across the industry, delivering accuracy

By advocating for a multi-stakeholder engagement in AI regulatory governance, it proposes a way forward to assist financial regulators and industry players –

Jul 2, 2026 Index Terms—Machine Learning, Explainable AI (XAI Decision Making, Regression Models, Classification Models, Clustering. Techniques. I

Jun 3, 2026 Financial forecasting has witnessed the use of traditional statistical models and AI-driven approaches in current research on market trends

Source: OECD staff illustration. How is AI affecting parts of the financial markets? AI techniques are applied in asset management and the buy-side

& ENG'G ETHICS 89 (2020) (offering a systematic and interdisciplinary literature review of the foreseeable threats of AI- related crimes and related ethical

Conduct a systematic mapping study of policy and research papers that refer to trustworthy AI principles, to identify a frame of reference for our investigation

Feb 8, 2025 This study employs a systematic literature review to evaluate the role of artificial fair, and responsible AI integration in the stock market

More recently, with the developments of generative AI (genAI research indicates that. 32-39% of the work performed across capital markets, insurance and