0:00
/
0:00
Preview

Lecture 9: Portfolio Optimization

This lecture goes through Sections 6.1-6.3 from the Portfolio Construction and Risk Management book, introducing portfolio optimization.

This is the ninth lecture of the Applied Quantitative Investment Management course.

This lecture carefully goes through Sections 6.1-6.3 from the Portfolio Construction and Risk Management book and its accompanying Python code.

The lecture also goes through the Python code for the Variance for Intuition, CVaR for optimization article.

This lecture presents many fundamental perspectives of advanced portfolio construction.

If you are new to portfolio construction, the lecture should significantly accelerate your understanding of how sophisticated investors think.

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 10: Resampled Portfolio Optimization

Lecture 10: Resampled Portfolio Optimization

This is the tenth lecture of the Applied Quantitative Investment Management course.

Watch the previous lecture here:

Lecture 8: Causal Views and Stress Testing

Lecture 8: Causal Views and Stress Testing

This is the eight lecture of the Applied Quantitative Investment Management course.

Lecture slides

This post is for paid subscribers