This is the eighth video that goes through the fortitudo-tech Python package available at: https://github.com/fortitudo-tech/fortitudo.tech1
The video goes through the seventh example, which presents the exponential decay risk modeling functionality.
For an extension of this model that allows you to introduce state-conditioning and generate new synthetic market samples, see the Fully Flexible Resampling method in the Portfolio Construction and Risk Management book2.
You can still contribute to the project and get perks for your contribution at: https://igg.me/at/pcrm-book3
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 (currently valued at €100) from February 17, 2025. This Substack subscription will give you access to exclusive case studies that use the investment framework from the book.
This video is also available on YouTube4 if you prefer watching it there.
GitHub repository for the fortitudo.tech Python package: https://github.com/fortitudo-tech/fortitudo.tech
Portfolio Construction and Risk Management Book latest PDF: https://antonvorobets.substack.com/p/pcrm-book
Portfolio Construction and Risk Management book crowdfunding: https://igg.me/at/pcrm-book
fortitudo.tech Python package walkthrough YouTube playlist: https://www.youtube.com/playlist?list=PLfI2BKNVj_b2rurUsCtc2F8lqtPWqcs2K
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