Resources and Research
about AI and ML in Investment
Resources and Research about Artificial Intelligence and Machine Learning
in Asset Management for Investment Professionals and Portfolio Managers
What is it about?
- Integration of AI and ML in Stock Screening
- Advantages of ML over traditional methods
- Importance of data quality and NLP
- Case Study: Leading Asset Manager achieving remarkable outcomes
What is it about?
- Integration of AI and ML in Portfolio Construction and Optimization
- Comparative analysis of traditional techniques and modern ML-based approaches
- Outperformance of ML-based portfolios
through better predictive analytics, automated rebalancing and risk management - Case Study: Dutch Asset Manager achieves strong results
What is it about?
- Practical guide to integrating AI into an investment process
- Three different approaches are identified
- Keys to making AI an integral part of everyday investment practice
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