Physical climate risk financial valuation
Project description
[!IMPORTANT] On June 26 2024, Linux Foundation announced the merger of its financial services umbrella, the Fintech Open Source Foundation (FINOS), with OS-Climate, an open source community dedicated to building data technologies, modeling, and analytic tools that will drive global capital flows into climate change mitigation and resilience; OS-Climate projects are in the process of transitioning to the FINOS governance framework; read more on finos.org/press/finos-join-forces-os-open-source-climate-sustainability-esg
osc-physrisk-financial
Physical climate risk financial valuation
About osc-physrisk-financial
An OS-Climate project, osc-physrisk-financial is a library for valuating assets under different climate risk scenarios.
Using the library
The library can be run locally and is installed via:
pip install osc-physrisk-financial
The library uses the output generated by the physrisk library
Note
This is the first stage of development, where the models are intentionally simple, focusing on setting up the proper structure of the library.
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
File details
Details for the file osc_physrisk_financial-0.1.1.tar.gz
.
File metadata
- Download URL: osc_physrisk_financial-0.1.1.tar.gz
- Upload date:
- Size: 24.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fae42ac884b6b01d4a1d596fc3a36f9e195c5937dc18f82058e5b780d582ca34 |
|
MD5 | 4d370c4e710e723ac841281400cf7fab |
|
BLAKE2b-256 | b7d8e0eb70da88f6eeb53c08ec69e30b36c597abe097b10177de04a43d532870 |
File details
Details for the file osc_physrisk_financial-0.1.1-py3-none-any.whl
.
File metadata
- Download URL: osc_physrisk_financial-0.1.1-py3-none-any.whl
- Upload date:
- Size: 20.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bdec3745ce37bda784a165c336eb80503e54e48789e33a9aae0a87ceeb5ea7d7 |
|
MD5 | 90d2ec3fe077d4c9b085b7a6207ee52a |
|
BLAKE2b-256 | 7ef446455bcec7cf667583ae313d6483c957e6d9d9c4f5960b8796516f0c4d0e |