open-risk/concentrationMetrics

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41
Rank 668,415 (Top 14 %)
Language
Python
License
MIT License
Created over 9 years ago
Updated 7 months ago

open-risk/concentrationMetrics

open-risk

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A python library for the computation of various concentration, inequality and diversity indices

transitionMatrix

Statistical analysis and visualization of state transition phenomena

awesome-sustainable-finance

A curated list of sustainable finance resources (software, data and more)

openRiskScore

A python framework for risk scoring

equinox

Equinox is an open source platform that supports the holistic risk management of sustainable finance projects

portfolioAnalytics

A Python library for generating analytic tests for credit portfolio loss distributions

openNPL

openNPL is an open source platform for the management of non-performing loans

openLGD

openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as standalone library and in a federated learning context where data remain in distinct (separate) servers

correlationMatrix

correlationMatrix is a Python powered library for the statistical analysis and visualization of correlations

Open_Risk_API

An API for interconnected risk models and risk data

openSecuritisation

Demonstrating technical elements in support of open source securitisation frameworks

scenarioGenerator

A python library for generating macro-economic scenarios

White_Papers

A mirror of the Open Risk white paper collection

risk_management_ontology

Repository of risk management ontologies

DataQualityToolkit

Python toolkit for evaluating and visualizing the data quality of excel spreadsheets

nace-economic-activity-visuals

A collection of SVG pictograms representing economic activity as classified by the NACE business sector classification

solstice

Solstice is an economic network simulation framework

OpenCPM-Architecture

A public repository to facilitate the discussion / development of OpenCPM

open_risk_taxonomy

A taxonomy of risk types and risk models

Open-Risk-Manual-PdfBooks

Collection of PdfBooks extracted from the Open Risk Manual

Academy-Course-PYT26038

Scripts supporting the Open Risk Academy course Analysis of Credit Migration using Python TransitionMatrix

tailRisk

A library for the calculation of tail risk measures

Academy-Course-SFI32064

Supporting material for the Open Risk Academy course: An introduction to Input-Output Economic Models using Python

FuriousBanker

FuriousBanker is a platform for developing serious games to support risk management training

open-risk

About Open Risk

Academy-Course-DAT31048

Supporting material for the Open Risk Academy course "Exploratory Data Analysis using Pandas, Seaborn and Statsmodels"

Overview-of-the-Julia-Python-R-Universe

Contribute to the side by side overview of the three leading open source data science ecosystems of today

Academy-Course-PYT26060

Supporting material for the Open Risk Academy course: "An introduction to Semantic Python"

Academy-Course-PYT13013

Supporting material for the Open Risk Academy course: "Concentration Measurement Using Python"

Visualizations

Collection of visualization algorithms and scripts, python / javascript based

Academy-Course-PYT26065

Resources for Open Risk Academy Course: "Processing Agency Mortgage Data with Awk, Pandas and Django - Part 1: Static Data"

Academy-Course-DAT31063

Resources for Open Risk Academy Course: "Class Inheritance in Data Science"

Academy-Course-DAT31053

Supporting material for the Open Risk Academy course: "An introduction to GeoJSON"

Academy-Course-NPL27062

Supporting material for the Open Risk Academy course "Introduction to the EBA NPL Templates"

energyLedger

Integrated energy accounting in relational databases

matrix2json

Benchmarks of matrix to JSON conversion performance in various languages

Academy-Course-PYT37067

Resources for Open Risk Academy Course: "Processing Agency Mortgage Data with Awk, Pandas and Django - Part 2: Performing Book"

leontief

Leontief is a C++ package to work with economic Input-Output models