0:00
/
0:00
Preview

Lecture 8: Causal Views and Stress Testing

This lecture goes through Sections 5.3 and 5.4 from the Portfolio Construction and Risk Management book, presenting causal views and stress testing.

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

This lecture carefully goes through Sections 5.3 and 5.4 from the Portfolio Construction and Risk Management book and its accompanying Python code.

The lecture also goes through the Python code for the Causal and Predictive Market Views and Stress Testing article.

To get a presentation of the technology that is used for the more advanced case studies, watch the video below:

7. Bayesian Nets and Causal Stress-Tests

7. Bayesian Nets and Causal Stress-Tests

This video presents the Bayesian nets and causal and predictive views and stress-testing functionality of the Investment Analysis module.

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 9: Portfolio Optimization

Lecture 9: Portfolio Optimization

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

Watch the previous lecture here:

Lecture 7: Sequential Entropy Pooling

Lecture 7: Sequential Entropy Pooling

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

Lecture slides

This post is for paid subscribers