Add your description here
Project description
py_volanalytics
I would like to research and code up robust implementations of vol-fitting methods and analytics for pricing volatility derivatives. I would also like to write implementations of the core blocks one needs for such tasks - optimizers, fourier transforms, characteristic functions, FFT etc.
Over time, the cost of writing my own library and the understanding and flexibility that comes with it will hopefully outweigh the sunk cost of building things ground up.
Features
Installation
pip install py_volanalytics
References
- The local volatility surface, Emanuel Derman, 1996
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
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
File details
Details for the file py_volanalytics-0.1.0.tar.gz.
File metadata
- Download URL: py_volanalytics-0.1.0.tar.gz
- Upload date:
- Size: 7.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e14ef24a98fdc4d1c550f1057c4fa0ec636d7e42c1b8d9c69865d8f9b5b0cb40
|
|
| MD5 |
a7760d7c0347f3eec6f54d140d4c4399
|
|
| BLAKE2b-256 |
8ead489c175ea176c3bdd076636e297a46b5c5b7dc67ee0d8bbbb8b5de684375
|
File details
Details for the file py_volanalytics-0.1.0-py3-none-any.whl.
File metadata
- Download URL: py_volanalytics-0.1.0-py3-none-any.whl
- Upload date:
- Size: 8.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f0584710b9cb905e21d763afa065dd518a90b8624847925433d7fcbfc1ea5abf
|
|
| MD5 |
d57647cf1903868f0a65030bcf763f81
|
|
| BLAKE2b-256 |
a304c2ba7af53e44812ba636a21a92ba7e45a175e30d001993eabba46084c44b
|