UnRısk LIBRARY
C++ Pricing Library for Quantitative Finance
A high-performance analytics engine for pricing, risk analysis, and model calibration in quantitative finance.
Capabilities enabled by UnRısk LIBRARY for Quantitative Pricing and Risk Analysis
UnRısk LIBRARY enables consistent valuation and risk analysis across portfolios and asset classes. Quantitative teams use the library to run scenario analysis, stress testing, and model validation across front office workflows, risk management processes, and regulatory reporting within a single computational engine. The platform maintains numerical accuracy and analytical consistency across instruments, model types, and organisational functions.
Architecture and Computational Design of UnRısk LIBRARY
UnRısk LIBRARY runs as a modular C++ engine with a parallel execution core for valuation and risk calculations. The architecture separates instrument coverage, numerical solvers, and calibration routines into independent layers and allows targeted extension without affecting core performance. Integration runs through file-based interfaces or APIs and supports deployment within established technology stacks. Optional modules add xVA, VaR, and scenario capabilities on top of the pricing core.
Features of UnRısk LIBRARY for Pricing and Risk Analytics
Supports a wide range of instruments and derivatives
Enables valuation across multiple model types
Includes stress testing and what-if analysis
Built on high-performance numerical methods
Offers advanced calibration routines for model accuracy
Supports VaR and xVA calculations
Benefits of UnRısk LIBRARY for Financial Institutions
Scalability
Handles valuations and risk management for hundreds of instrument types. Scales seamlessly with portfolios of any complexity.
Versatility
Supports risk control, instrument analytics, counterparty risk assessment, investor advisory, and asset management in one single tool.
Integration
Integrates flexibly into your software products via a file-based interface or a robust API.
Speed
Executes tasks with high precision using parallel processing for maximum performance.
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Who should use UnRısk LIBRARY?
Front Office
Risk Management
Fintech & Consulting
Regulatory & Compliance
Frequently asked Questions
Which asset classes and instruments does UnRısk LIBRARY support?
The library covers interest rate derivatives, equity and FX products, structured products, credit instruments, hybrid payoffs, commodity products, and inflation-linked instruments. Quantitative teams use it to run consistent valuations across a broad range of financial instruments within a single engine.
Which numerical methots are implemented?
The library builds on SDE-based methods, including Monte Carlo, American Least Squares Monte Carlo, and Quasi Monte Carlo for higher-dimensional problems, as well as PDE-based solvers using Finite Differences and Finite Elements with convection stabilization. Green’s Functions and Fourier Cosine Techniques cover stochastic volatility models. Regularization techniques ensure robust parameter calibration across all model types.
How does UnRısk LIBRARY integrate into existing infrastructure?
Integration runs via file-based interfaces or a robust API supporting multiple languages including .NET. Teams deploy the library within established systems without restructuring core workflows or existing technology stacks.
Is the library suitable for large portfolios?
The architecture supports scalable analytics for portfolios containing hundreds of instruments and runs parallel computation for maximum throughput.
Does the library support regulatory use cases such as Basel III/IV?
Yes. Stress testing, scenario analysis, and valuation workflows align with Basel III/IV and ICAAP requirements, supporting both internal risk management and supervisory reporting.
How does model calibration work?
Calibration routines apply advanced regularization techniques to fit model parameters to live or historical market data. This ensures robust, stable results even under noisy or incomplete market observations.
Can the library be extended with additional modules?
Yes. Optional modules extend the core derivative pricing engine with xVA calculations, VaR and Expected Shortfall, scenario analysis, and reporting. Teams scale their analytical coverage as needed.
How does UnRisk LIBRARY compare to open-source alternatives like QuantLib?
UnRısk LIBRARY is a production-grade commercial library, validated and designed for institutional deployment. It delivers guaranteed numerical accuracy, parallel processing performance, and dedicated expert support. Teams use it instead of maintaining research-grade code in-house.
Resources
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