actuarialpy 0.1.0

Python tools for actuarial analysis.

ActuarialPy

ActuarialPy is a Python package for general actuarial analysis.

The initial version includes a basic loss ratio calculation. Future modules may include experience summaries, trend tools, actual-to-expected analysis, exposure-based metrics, validation, and reporting.

Installation

pip install actuarialpy

Usage

from actuarialpy import loss_ratio

lr = loss_ratio(expenses=850_000, revenue=1_000_000)

print(lr)
# 0.85

Loss ratio

loss_ratio(expenses, revenue)

Calculates:

loss ratio = expenses / revenue

Examples of use:

• health MLR: claims / premium
• P&C loss ratio: losses / earned premium
• combined-style ratios: losses plus expenses / revenue, if expenses are pre-summed before calling the function

Development

Install locally in editable mode:

pip install -e .

Run tests:

pip install pytest
pytest

Build for PyPI:

python -m pip install --upgrade build twine
python -m build
twine check dist/*
twine upload dist/*