Barrie & Hibbert

A global leader in financial risk modelling

Barrie & Hibbert provides world-class stochastic risk modelling solutions to clients around the globe, helping them to face the challenges of the complex and increasingly volatile world markets.

Our market-leading stochastic modelling framework allows our clients to model economic and asset scenarios, helping them to improve their understanding of financial market risk.

Our modelling framework, the Economic Scenario Generator (ESG), is the engine that powers our range of products and services.

We are committed to the ongoing development of our Economic Scenario Generator and to the creation of innovative solutions and applications, that support our clients throughout the world.

Our services are available in a format to suit your needs, including  On Site, On Demand and Consultancy.

Find out about our new Liquidity Premium Service

Find out about our new Liquidity Premium Service

Use our new Liquidity Premium Service to get our estimates of the Liquidity Premium in corporate bond credit spreads.   Click here to find out more.

Find out about our Pension Fund Risk Model

Find out about our Pension Fund Risk Model

The new Pension Fund Risk Model from is a fully integrated stochastic asset-liability model.  Click here to find out more 

Latest News

Algorithmics and Barrie & Hibbert announce strategic partnership to deliver economic capital solutions under Solvency II

Algorithmics and Barrie & Hibbert have formed a strategic partnership to provide a comprehensive solution to insurance companies for economic capital management under Solvency II.

Worldwide P&C ESG Wins for Barrie & Hibbert

Barrie & Hibbert have announced two major new contracts for their Property & Casualty Economic Scenario Generator service.

Barrie & Hibbert announces integration with DataSynapse GridServer® Software

Barrie & Hibbert has announced the integration of their Insurance Economic Scenario Generator Modelling Suite (iESG) with DataSynapse GridServer software for greatly increased scalability and performance to deliver reduced execution times of the modelling suite.