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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

Thursday, 04/29/21

Contact:

Enes

Phone: +1(408)4754348
Website: Click to Visit

Cost:

Free!

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