Archive · 29 Dec 2025
AI-Driven Study Reveals Global Investor Stock Selection Patterns
A big study in 2025 used AI to talk to investors from ten different countries about how they pick stocks.
The AI asked questions and then analyzed the answers to find out what makes investors choose certain stocks.
The study found that there are thirteen main reasons why people buy stocks, like if a company is doing well, if it's a well-known brand, or if it pays good dividends.
The study also found that different countries have different reasons for picking stocks.
For example, investors in India care more about how strong a company is, while investors in Japan care more about whether they know the brand.
This study shows that people don't always make decisions the way old financial theories say they should, and it helps us understand real investor behavior better.
AI-driven interviews with 1,540 investors across ten countries revealed thirteen key stock selection mechanisms.
The most common mechanism was 'Fundamental Strength' (40.5%), followed by 'Growth Innovation' (37.6%).
Only 0.8% of decisions remained unexplained by the identified mechanisms.
The study found significant cross-country differences in investor behavior, with three main clusters of similar investor profiles.
The research challenges traditional financial theories, highlighting the need for more behaviorally realistic models.
- Who
- Investors across ten countries, including a significant proportion of millionaires
- What
- A study on global investor stock selection patterns using AI-driven interviews
- When
- 2025
- Where
- Ten countries
- Why
- To understand the 'why and how' of investor decision-making beyond theoretical models
- Study Title
- How Investors Pick Stocks: Global Evidence from 1,540 AI-Driven Field Interviews
- Authors
- Hwang, Noh, and Shin
- Number of Interviews
- 1,540
- Countries Involved
- 10
- Top Decision Mechanism
- Fundamental Strength (40.5%)
- Lowest Explained Mechanism
- Technical Analysis (6.8%)
- Unexplained Decisions
- 0.8%