Paper Details

Name: Saurav Kumar, Ankita Bhardwaj, Ujjwal Chadha, Prashant Kumar, Himanshu & Parveen Bajaj
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 802-809
DOI: https://doi.org/10.5281/zenodo.19130417

ABSTRACT—
This research investigates artificial intelligence (AI) models intended for financial portfolio management through an examination of machine learning (ML) and reinforcement learning (RL) technologies which boost investment strategy optimization. Through big dataset analysis artificial intelligence systems enhance portfolio decision-making processes with real- time market data and social media sentiment analysis to deliver better risk control as well as improved performance results. The study investigates AI-driven portfolio optimization strategies us- ing algorithms which determine market trend forecasts alongside revenues and reduced risk levels.
The implementation of Artificial Intelligence in financial op- erations faces substantial obstacles because of poor data quality and imprecise predictive methods and volatile market scenarios. Real-world adoption of AI has introduced transparency problems and process biases which creates obstacles regarding regulatory compliance in artificial intelligence implementations. This research assesses potential developments by examining the combination of classical financial methods with artificial intelligence through multi-model structures together with XAI implementation and blockchain deployment for data protection. These findings demonstrate ongoing activities in AI system evolution for portfolio management yet advanced method devel- opment with challenge resolution will create more transparent and adaptive operational systems with greater efficiency.

Index Terms—Machine learning Reinforcement learning Senti- ment analysis Data quality Portfolio optimization Risk

manage- ment Explainable AI (XAI) Investment strategies Data-driven decision making Financial modeling Portfolio

performance Fi- nancial technology (FinTech) Asset allocation Multi-objective optimization Machine learning in finance