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7. Risk Factor Views

The ninth video that goes through the fortitudo-tech Python package available at: https://github.com/fortitudo-tech/fortitudo.tech

This is the ninth video that goes through the fortitudo-tech Python package available at: https://github.com/fortitudo-tech/fortitudo.tech1

The video goes through the eighth example, which shows you how you can use Entropy Pooling2 to implement (discretionary) views and stress-test for fully general risk factor and return distributions.

The risk factor computations will also be used in next week’s video, where the Causal and Predictive Market Views and Stress-Testing framework3 will be presented.

For a deep and pedagogical presentation of Entropy Pooling and the causal views and stress-testing framework, you can get access to the Portfolio Construction and Risk Management book at: https://igg.me/at/pcrm-book4

Find the latest update on the Portfolio Construction and Risk Management book here5.

Note that if you contribute €100 or more to the Portfolio Construction and Risk Management book, you will get one-year complimentary paid Substack subscription to this publication when the book is finished. This paid subscription will give you access to exclusive case studies that use the investment framework from the book.

To see how the Portfolio Construction and Risk Management book is different from what is otherwise available, see this Substack post6.

This video is also available on YouTube7 if you prefer watching it there.

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1

GitHub repository for the fortitudo.tech Python package: https://github.com/fortitudo-tech/fortitudo.tech

3

Causal and Predictive Market Views and Stress-Testing SSRN article: https://ssrn.com/abstract=4444291

4

Portfolio Construction and Risk Management book crowdfunding: https://igg.me/at/pcrm-book

7

fortitudo.tech Python package walkthrough YouTube playlist: https://www.youtube.com/playlist?list=PLfI2BKNVj_b2rurUsCtc2F8lqtPWqcs2K

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