This is the third video that goes through the fortitudo-tech Python package available at: https://github.com/fortitudo-tech/fortitudo.tech1
The video goes through the second example which replicated the Entropy Pooling results for the original approach2 from the Sequential Entropy Pooling Heuristics article3.
For a deep and pedagogical walkthrough of the investment theory, you can get access to the Portfolio Construction and Risk Management4 book at: https://igg.me/at/pcrm-book5
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 €50) when the book is finished. This Substack 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.
GitHub repository for the fortitudo.tech Python package: https://github.com/fortitudo-tech/fortitudo.tech
CVaR and Entropy Pooling fortitudo-tech Python example: https://github.com/fortitudo-tech/fortitudo.tech/blob/main/examples/1_MeanCVaR_EntropyPooling.ipynb
Sequential Entropy Pooling Heuristics SSRN article: https://ssrn.com/abstract=3936392
eBook, Python code, and one-year paid subscription Substack post: https://antonvorobets.substack.com/p/ebook-python-code-and-one-year-paid
Portfolio Construction and Risk Management book crowdfunding: https://igg.me/at/pcrm-book
Portfolio Construction and Risk Management Book Substack post: https://antonvorobets.substack.com/p/portfolio-construction-and-risk-management-book-91526e1c0c17
fortitudo.tech Python package walkthrough YouTube playlist: https://www.youtube.com/playlist?list=PLfI2BKNVj_b2rurUsCtc2F8lqtPWqcs2K
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