A Brief Introduction to Applying Machine Learning to Investing

Applying machine learning to longer-term investing comes with specific difficulties. In this talk, we discuss a number of these issues to be aware of, such as:

• Signal-to-noise ratios are low
• Markets are continuously evolving
• The number of independent observations is lower than you might think
• Predictability does not guarantee profitability in real-world portfolios.

While these problems cannot be circumvented altogether, we review ways to address them at least partially. Furthermore, we present examples where machine learning nevertheless can add value.

Agenda:

• 11:40 am - 11:50 am Arrival and socializing
• 11:50 am - 12:00 pm Opening
• 12:00 pm - 1:50 pm Maximilian Stroh and Dr. Philip Messow, "A Brief Introduction to Applying Machine Learning to Investing"
• 1:50 pm - 2:00 pm Q&A

Speakers: Maximilian Stroh, Quoniam Asset Management in Frankfurt;Dr. Philip Messow, Quoniam

Please register using this link to get a reminder.

Webinar ID: 827 5571 3401