Systems in charge: How new asset management companies are using data to tackle manager bias

Asset management firms are increasingly turning to advanced technology to manage portfolios. Instead of relying solely on human judgment, many new companies are using multi-factor algorithms and alternative datasets. These systems are designed to identify investment opportunities and manage risk based on hard data rather than emotion.
For investors, this shift suggests a move toward more systematic and potentially more consistent investment strategies. By removing human bias, these models aim to improve decision-making. However, the long-term success of these high-tech approaches is still being tested in real market conditions.
Investors should monitor how these data-driven funds perform during periods of market stress. It is important to understand the specific rules and data sources a fund uses to ensure they align with your own investment goals.
Key takeaways
- Category: Sector.
Why it matters
A routine update. Use the price and stock snapshot to gauge how the market is responding.










