AI Enhanced BI for Dynamic Portfolio Optimization under Market Volatility

Authors

  • Rajesh Aakula Senior BI Architect, Leading Information Technology Company, Herndon, Virginia, USA Author

DOI:

https://doi.org/10.15680/IJCTECE.2026.0902012

Keywords:

Artificial Intelligence, Business Intelligence, Portfolio Management, Market Fluctuations, Risk Analysis, Rebalancing

Abstract

Volatile markets make it hard to invest because the values keep fluctuating and there is uncertainty in the market. This is because strategic investment principles may not be suitable to make high-speed movements that may bring low returns or increase risk. BI integrated with Artificial Intelligence (AI) has the benefit of real-time analysis and dynamically-designed decision tools that provide constant portfolio fine-tuning. This is an ability offered by AI that involves analyzing high levels of data, detecting market trends, and controlling assets to keep the portfolio on course towards its goal amidst fluctuation. This integration makes dynamic rebalancing possible such that the portfolio is realigned back to real market terms to reduce risk and maximize return. With these technologies, portfolio managers have an easy time coping with risks in the market and offering better investment propositions that are dynamic and technology-reliant. Combining artificial Intelligence and Business Intelligence is an efficient way to maximize portfolio management in the modern and uncertain financial environment.

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Published

2026-03-11

How to Cite

AI Enhanced BI for Dynamic Portfolio Optimization under Market Volatility. (2026). International Journal of Computer Technology and Electronics Communication, 9(2), 535-540. https://doi.org/10.15680/IJCTECE.2026.0902012