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 by becoming a paid subscriber to this publication, which will give you access to the Applied Quantitative Investment Management course and the expanding collection of exclusive case studies.
Watch the next video here:
7. Risk Factor Views
This is the ninth video that goes through the fortitudo-tech Python package available at: https://github.com/fortitudo-tech/fortitudo.tech
This video is also available on YouTube3 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
fortitudo.tech Python package walkthrough YouTube playlist: https://www.youtube.com/playlist?list=PLfI2BKNVj_b2rurUsCtc2F8lqtPWqcs2K
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