Metadata-Version: 2.1
Name: gemact
Version: 0.3.0
Summary: A comprehensive actuarial package for non-life (re)insurance.
Home-page: https://gem-analytics.github.io/gemact/
Author: Gabriele Pittarello, Edoardo Luini, Manfred Marvin Marchione
Author-email: gabriele.pittarello@uniroma1.it
License: BSD 3-Clause
Project-URL: Source Code, https://github.com/gpitt71/gemact-code
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
License-File: LICENSE.txt

[![Python application](https://github.com/gpitt71/gemact-code/actions/workflows/gemact-app-build.yml/badge.svg)](https://github.com/gpitt71/gemact-code/actions/workflows/gemact-app-build.yml)
[![Downloads](https://pepy.tech/badge/gemact)](https://pepy.tech/project/gemact)



Welcome to the repository containing the code of GEMAct package.

# 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 **pricing**, stochastic **claims reserving**, and **risk 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](https://gem-analytics.github.io/gemact/) to see our documentation and tutorial.

# 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 UniversitÃ  Milano-Bicocca for having tested the package.





