This is the sixth lecture of the Applied Quantitative Investment Management course.
This lecture carefully goes through Section 5.1 of the Portfolio Construction and Risk Management book and its accompanying Python code.
The goal of this lecture is to give you a thorough presentation of the Entropy Pooling method before presenting the more powerful Sequential Entropy Pooling in the next lecture.
Applied Quantitative Investment Management course
As a paid subscriber, you have full access to the course and the expanding collection of exclusive case studies that use the investment framework presented in the Portfolio Construction and Risk Management book.
The Applied Quantitative Investment Management course will run for 12 weeks with lectures on Thursdays.
To ensure that you get access at the best price, it is recommended to secure your paid subscription now.
If you subscribe using your work e-mail, consider expensing the subscription and potentially using the group subscription option.
You can also opt for a free subscription, which gives you access to the free content and short lecture previews.
Watch the next lecture here:
Lecture 7: Sequential Entropy Pooling
This is the seventh lecture of the Applied Quantitative Investment Management course.
Watch the previous lecture here:
Lecture 5: Instrument Pricing
This is the fifth lecture of the Applied Quantitative Investment Management course.