With Your Open Source,

You're in Control.

Acadia Quant Services embraces an open-source approach in both code and culture, offering you speed, support, and complete control over your pricing and risk analysis.

Derivatives risk management doesn’t have to be complex. Acadia’s Open Source Risk Engine opens up a new world of opportunities in pricing, risk analysis and regulatory compliance. Acadia’s Open-Source Risk Engine not only lets you see how calculations are made, it also lets you refine the settings you need to ensure optimal performance.

Open Source Risk Engine.
Openly Trusted.

Acadia’s Open Source Risk Engine (ORE) is the pricing and risk analysis tool that’s trusted and relied upon by the global financial community. Now in its 12th release, ORE is fast, flexible, user friendly and offers the comprehensive analytics you need.

Acadia is all about openness. So our Quant Team recently revealed some of the ways in which Open Source Risk Engine opens up a world of possibilities for financial institutions across the derivatives space.

The Benefits

ORE Analytics

ORE's analytics cover :

  • Financial instrument valuation for a range of derivatives products and bonds across six risk classes (interest rates, foreign exchange, inflation, equity, credit and commodity).
  • Market risk analysis, sensitivity analysis, stress testing, Value-at-Risk.
  • Credit exposure simulation.

ORE is Flexible And User- Friendly

ORE is designed to be accessible to end users and provide:

  • A simple command-line application with input/output files.
  • Transparent interfaces for trade data, market data, system configuration.
  • A detailed user guide with a large range of examples of ORE usage.

The Technical Details

ORE is written in C++ and it is based on QuantLib, the “free/open-source library for quantitative finance”, which in turn depends on the Boost C++ libraries (boost.org). ORE provides a hierarchy of libraries for QuantLib extensions, data management and risk analytics which allow full extensibility. ORE’s SWIG language bindings facilitate integration of ORE with applications written in Python or Java.

Acadia
Case Studies

To find out more about Open-Source Risk Engine, download a case study here.

Backtesting of Future Risk Factors,
An Open-Source Approach to Validation Case Study
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Bank of England’s System-Wide Exploratory Scenario (SWES)
Using Acadia’s Open-Source Risk Framework
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Open to

Something Bigger.

As part of LSEG, Acadia offers you access to robust technology and security, together with the infrastructure you have a right to expect from a global leader. This is where speed and scale come together with integrity and accountability.

Meet the Open Minds 

Of Acadia.

Acadia isn't just open source, we're also open to providing all the support you need. Meet our friendly Quant team, who are here to help you with everything from software development to quantitative computations.

Meet the Quant Team Behind the Scenes! At Acadia, we're not just about open source; we're committed to providing all the support you need. Get to know our friendly Quant team, ready to assist with everything from software development to quantitative computations. Their expertise and dedication ensure you have the best tools and guidance for success.

Our Solutions. 

Open to Everything.

Acadia’s Open Source Risk Engine (ORE) is the pricing and risk analysis tool that’s trusted and relied upon by the global financial community. Now in its 10th release, ORE is fast, flexible, user friendly and offers the comprehensive analytics you need.

Valuations

Risk Model Development& Risk Analytics

Model Risk Management / Model Validation

Regulatory Compliance& Approval

Finance & Accounting

Open-Source Risk Engine (ORE)

Quantitative Derivatives Pricing & Risk Modeling Program

What our clients are saying

“We're really glad that we decided to participate in the Acadia launch. The earlier we can get a view on our IM exposure and how the new process works.

Senior Treasury Operations Manager at UK-based Nationwide Building Society

“Complying with the uncleared margin rules under ISDA SIMM can be a complex task requiring a potential drain on internal resources. However, our decision to outsource the IM Backtesting & Benchmarking reporting to Acadia has proven to be an efficient solution for Nordea.”

Head of Risk Control at Nordea

“During the recent environment, the market experienced hugely increased market volumes, while dealing with significant operational headwinds. The Acadia toolkit was instrumental in helping us manage our credit and operational risk through this time of great market volatility.”

Global Head of Rates, JP Morgan

We’re Open for Business.
Book a Consultation Today

Open Source Risk Engine is designed to enable the bespoke solutions your organisation needs. Book a 1-2-1 consultation with a member of our Quant Team today, to find out how it can open up a world of opportunities in pricing and risk analysis.

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