An open source library for portfolio optimisation
Light weight dependency graph for systems with massive calculation complexities or scheduling systems
This is the official code for the paper RAP: Risk-Aware Prediction for Robust Planning: https://arxiv.org/abs/2210.01368
A python framework for risk scoring
💹 A fundamental equity risk model that decomposes the risk of a portfolio by factors and individual securities
Popular way to model the yield curve called Nelson-Siegel-Svannson algorithm.
Classification of reserve risk with chain-ladder
An open-source Python-based catastrophe data transformation - converts exposure data between OED and other data formats.
Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
Copula fitting in Python.
One factor Vasicek model in Python.
Ground Risk model for UAS flight path analysis and risk-aware path finding
An intuitive end-to-end web-app system that forecasts FX risk over the next 3 days, powered by explainable AI and real market data.
Public repository for earthquake scenarios from the National catalogue / Dépôt public de scénarios de tremblements de terre du catalogue national
Algoritmo popolare per adattare una curva dei rendimenti a dati osservati.
Genetic Algorithm learning in Finance
Jax based probability modelling
Simple Python Flask API server that returns CVSS scores for CVSS vector strings
Project for leadersofdigital.ru
A modular Python-based application scorecard framework for credit risk modeling
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