International Journal on Science and Technology

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Emerging Investment Analysis Trends in Retail Investing

Author(s) Raghunandan M
Country India
Abstract This research investigates the emerging trends and methodologies in retail and institutional investing, focusing on the integration of artificial intelligence and advanced analytical techniques in investment analysis. The study employs an extended Technology Acceptance Model (TAM) framework analysed through Partial Least Squares Structural Equation Modelling (PLS-SEM) to examine the relationships between technological innovation, predictive performance, risk management, decision-making efficiency, and ethical governance in investment strategies.
The research utilizes a mixed-methods approach, collecting data from 220 investment professionals through a structured questionnaire. The sampling framework encompasses diverse stakeholders including institutional investors, financial analysts, and technology specialists, ensuring comprehensive representation of the investment ecosystem. The study examines five key hypotheses related to AI impact, data integration, risk assessment transformation, technological efficiency, and ethical AI adoption in investment analysis.
Findings reveal significant correlations between advanced technological adoption and improved investment outcomes, with AI-driven strategies demonstrating superior predictive accuracy (>15% improvement) and risk management capabilities (25% reduction in portfolio volatility). The research contributes to the existing body of knowledge by providing empirical evidence of the transformative potential of AI in investment analysis while highlighting the critical importance of ethical considerations and governance frameworks.
The study presents practical implications for investment professionals and institutions, offering insights into the effective integration of advanced technologies while maintaining ethical standards. Additionally, it provides a foundational framework for future research in technological innovation in investment analysis, particularly in the areas of quantum computing and federated learning applications.
Keywords Investment Analysis ,Artificial Intelligence ,Machine Learning ,Technology Acceptance Model (TAM) ,PLS-SEM ,Predictive Analytics ,Financial Technology (FinTech) ,Portfolio Management ,Risk Assessment ,Deep Learning ,Investment Decision-Making ,Ethical AI ,Quantitative Research, Market Analysis ,Investment Technology ,Big Data Analytics ,Neural Networks ,Financial Innovation ,Investment Efficiency, Algorithm Trading
Field Business Administration
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-02-24
Cite This Emerging Investment Analysis Trends in Retail Investing - Raghunandan M - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2049
DOI https://doi.org/10.71097/IJSAT.v16.i1.2049
Short DOI https://doi.org/g8595b
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