This repository attempts to deconstruct and analyse the Berkshire Hathaway Portfolio and is split into 3 different notebooks:
- Portfolio Decomposition: Decomposes the BRKA portfolio using the popular CAPM and Fama-French 5 Factor models to analyse investor views
- Efficient Frontier: Attempts to construct an optimal portfolio using mean-variance optimization with EF plot
- Black-Litterman: Factors in personal investment views using the Black-Litterman model to construct suitable portfolio allocations
Resources:
Fama French Data: https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html
Fama French Paper: https://www.ssrn.com/abstract=2287202
Black Litterman paper: https://www.ssrn.com/abstract=1117574
I would also highly recommend the EDHEC coursera course which I have based most of the learning materials from.
Coursera: https://www.coursera.org/specializations/investment-management-python-machine-learning
This is not meant to be taken as investment advice, but solely for educational purposes