A comprehensive actuarial package for non-life (re)insurance.
Project description
GEMAct
GEMAct is a comprehensive actuarial package, based on the collective risk theory framework, that offers a set of tools for non-life (re)insurance costing, stochastic claims reserving, and loss aggregation.
The variety of available functionalities makes GEMAct modeling very flexible and provides actuarial scientists and practitioners with a powerful tool that fits into the expanding community of Python programming language.
Please visit our website to see our documentation and tutorial.
The pre-print of the accompanying paper is now available.
Acknowledgments
Previous versions were presented at the Mathematical and Statistical Methods for Actuarial Sciences and Finance 2022, and at the Actuarial Colloquia 2022, in the ASTIN section.
We want to especially thank the students in Statistica per le assicurazioni, M.Sc. in Economia e Finanza, at the Università Milano-Bicocca for having tested the package.
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
File details
Details for the file gemact-1.2.1.tar.gz
.
File metadata
- Download URL: gemact-1.2.1.tar.gz
- Upload date:
- Size: 70.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c4ea6cda8157b3d08a036e13349292563ad103a26f977a9ee939d58e375c58b8 |
|
MD5 | 018a66d2dd67e73d609877ded7f3343a |
|
BLAKE2b-256 | 6244579ef6d82e85dc4408d8f4b79930de19ca7d008642a03b049a61d4cee878 |