Journal of Ai ML DL
RESEARCH ARTICLE   (Open Access)

Artificial Intelligence in Financial Analytics and Predicting Market Trends and Risk Management

Ispita Jahan1*, Md Sakib Mia2, Niladry Chowdhury2, Md Iqbal Hossain3, Anik Biswas4

+ Author Affiliations

Journal of Ai ML DL 1 (1) 1-8 https://doi.org/10.25163/ai.1110385

Submitted: 05 August 2025 Revised: 13 October 2025  Published: 15 October 2025 


Abstract

Background: Artificial Intelligence (AI) is transforming financial analytics through its ability to improve market trend forecasts and risk management at increased speeds. Modern global market complexity exceeds traditional analytical capabilities so financial institutions now rely on AI tools that include machine learning (ML) and deep learning (DL) together with natural language processing (NLP).

Methods: The research involved 100 financial professionals who were randomly chosen to participate in a survey which examined AI implementation within financial operations. The questionnaire measured AI deployment levels and evaluated forecasting precision and risk management effects as well as user concerns. The study interpreted the data through descriptive statistics and correlation analysis. adoption challenges.

Results: 68% of survey participants indicate they use AI-based financial analysis tools at present. A majority of respondents (62%) reported improved forecasting outcomes, while 85% agreed that AI positively contributes to financial risk reduction. The analysis showed a strong positive association between AI adoption and financial performance improvement where the correlation coefficient measured +0.74. Most participants expressed their worries about the transparency of models together with explain ability and regulatory compliance concerns.

Conclusion: The research indicates financial analytics users recognize that artificial intelligence produces measurable advantages for market forecasting together with risk management processes. The robust connection between financial performance and AI adoption shows that AI continues to gain strategic importance within financial operations even though regulatory and interpretability issues remain.

Keywords: Artificial Intelligence, Financial Analytics, Market Prediction, Risk Management, Machine Learning, Business Analytics

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