Easily Reference and use Actuarial Mortality Tables
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Updated
Mar 7, 2024 - Julia
Easily Reference and use Actuarial Mortality Tables
Life Actuarial Maths
An open-source Python framework for actuarial cash flow models
Tools for creating and working with aggregate probability distributions.
Data collection and exploratory analysis related to COVID-19 for general insurance actuaries and the public
A handy tool for actuarial modeling, which is designed to achieve both accuracy and accountability.
Examples and Tutorials using JuliaActuary packages.
Solving Actuarial Math with Python
Classification of reserve risk with chain-ladder
All Python algorithms published by Open Source Modelling in one place.
Multi-Population Mortality Modeling With Neural Networks
Case study on using wellness plans to increase life expectancy of insureds and affordability of their plans while simultaneously increasing the profits of the insurer.
n dimensional Brownian motion with an arbitrary mean and Variance Covariance matrix.
Popular way to model the yield curve called Nelson-Siegel-Svannson algorithm.
All JavaScript algorithms published by OSM in one place.
Black and Sholes model for simulating the stock market in Python.
All Matlab algorithms published by Open Source Modelling in one place.
All Solidity algorithms published by OSM in one place.
Generate correlated Brownian motions in JavaScript.
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