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Investment Firms' Digital Transformation: The Integration of Big Data Analytics in Modern Portfolio Management

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Observational analysis shows enhanced performance with big data in portfolio management, suggesting new strategies.

Enhanced risk-adjusted returns are achieved using hybrid cloud architecture for data analytics and management.
Machine learning algorithms capture complex relationships in data, outperforming traditional models significantly.
Investment firms face challenges with data quality, regulatory constraints, and maintaining analytical diversity despite advancements.
The study reveals that performance varies with analytical sophistication, indicating limits on incremental returns.

S. Allam (2025) studied this question.

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