XLRISK

XLRISK

XLRISK is an open-source quantitative risk analysis software. It is used by risk consultants, financial engineers, and academics to model risk portfolios, simulate risk scenarios, and generate risk metrics and reports.
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XLRISK: Open-Source Quantitative Risk Analysis Software

XLRISK is an open-source quantitative risk analysis software used by risk consultants, financial engineers, and academics to model risk portfolios, simulate risk scenarios, and generate risk metrics and reports.

What is XLRISK?

XLRISK is an open-source quantitative risk analysis platform used by risk consultants, financial engineers, actuaries, and academics. It enables users to model financial risk portfolios, simulate risk scenarios, and generate key risk metrics and reports.

XLRISK provides integrated modules for managing positions, defining risk factors, building scenario sets, calculating risk measures, and analyzing results. Key features include:

  • Flexible modeling of multi-asset portfolios including equities, fixed income, derivatives, FX, and commodities
  • Robust risk analytics including VaR, expected shortfall, sensitivity analysis, stress testing, and backtesting
  • High performance quantitative risk engines powered by advanced statistical and mathematical models
  • Customizable reports, dashboards, and visualization tools
  • APIs and integration capabilities to connect with external data sources and applications

XLRISK aims to provide an enterprise-level solution for risk management teams who need advanced analytics and flexibility in a user-friendly package. With its open-source development approach, XLRISK strives to meet risk modeling needs across various industries and use cases.

XLRISK Features

Features

  1. Monte Carlo simulation
  2. Value at Risk (VaR) calculation
  3. Expected Shortfall (ES) calculation
  4. Stress testing
  5. Scenario analysis
  6. Portfolio optimization
  7. Distribution fitting
  8. Correlation modeling
  9. Reporting

Pricing

  • Open Source

Pros

Open source and free to use

Flexible and customizable

Supports multiple programming languages

Active user community and support

Cons

Steep learning curve

Limited documentation and training resources

Not as user friendly as commercial alternatives

Lacks some advanced risk models


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