The Finance Shelf

Artificial Intelligence in Financial Data Analysis and Investment Decision-Making: Opportunities, Risks and Implications for Individual Investors in Vietnam (Journal of Economics Finance and Management Studies)

Research paperJournal of Economics Finance and Management StudiesOctober 202619 pages29 min readQuan Nguyen, Trang Nguyen HongOriginal source
Key number
0.781 β
AI Adoption to Investment Decision Path Coefficient p.1
What changed
40.9% vs end of 2024
VN-Index Growth at End of 2025 p.2

Summary

  • A structured questionnaire survey was conducted with 309 individual investors in Vietnam who have experience using AI for financial analysis and investment decision-making.p.1
  • Domestic securities accounts in Vietnam increased from 9,250,208 at the end of 2024 to 13,834,970 in August 2026, with individual investors holding 13,814,693 accounts.p.2
  • The VN-Index reached 1,784.49 points at the end of 2025, representing a 40.9% increase from the end of 2024.p.2
  • The structural model demonstrates that AI Adoption has a strong positive relationship with Investment Decision (β = 0.781, p < 0.001).p.1
  • The research model explains 60.9% of the total variance in investment decision-making among Vietnamese retail investors (Adjusted R² = 0.609).p.13

Key insights

  1. Perceived Benefits positively influence AI Adoption among individual investors with a standardized path coefficient of β = 0.318.p.13
  2. Financial Literacy positively influences AI Adoption (β = 0.250, p = 0.001), indicating that knowledgeable investors are better equipped to integrate AI outputs into investment decisions.p.14
  3. Data Quality Trust exhibits an unexpected significant negative effect on AI Adoption (β = -0.323, p < 0.001).p.14
  4. Perceived Risks show a significant positive relationship with AI Adoption (β = 0.132, p = 0.026), suggesting investors use AI tools to mitigate market uncertainty.p.14
  5. AI Adoption serves as a central mediating mechanism connecting perceived benefits, financial literacy, and algorithm transparency to investment decision outcomes.p.15

Topics and entities

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