A bayesian approach to portfolio optimization
Project description
BlPortfolioConstruction is a library which attempts to automate portfolio optimization by adopting a bayesian approach (Black-Litterman model) in conjunction with Factor Analysis and classical mean-variance/max sharpe optimization methods.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
blportopt-0.0.0.tar.gz
(15.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
blportopt-0.0.0-py3-none-any.whl
(19.6 kB
view details)
File details
Details for the file blportopt-0.0.0.tar.gz.
File metadata
- Download URL: blportopt-0.0.0.tar.gz
- Upload date:
- Size: 15.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.9.0 Darwin/23.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a8ef8e80654eed00a60aeaffe0f308e95236bd54ea0f6f4b81f9623562eb36ae
|
|
| MD5 |
d2be2fa3016fb6b051246d7d9c57f57a
|
|
| BLAKE2b-256 |
84490920a35394e570592542d9ad44c1005d743bb88fc954778c2221f677bed0
|
File details
Details for the file blportopt-0.0.0-py3-none-any.whl.
File metadata
- Download URL: blportopt-0.0.0-py3-none-any.whl
- Upload date:
- Size: 19.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.9.0 Darwin/23.4.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5aff1131e3423c74b1c47fe9608d06a42e962fb5257f99b72326c237f3efed13
|
|
| MD5 |
8564198ba5e416c9f963dbeb21ed35e5
|
|
| BLAKE2b-256 |
a2d1a12be6cc62e1fea3ec42301be3e05b7d10c76f9b96d0e90d34f8793b3029
|