ModelRisk vs @RISK

Struggling to choose between ModelRisk and @RISK? Both products offer unique advantages, making it a tough decision.

ModelRisk is a Business & Commerce solution with tags like risk-management, financial-risk, market-risk, credit-risk, operational-risk, banks, financial-services.

It boasts features such as Monte Carlo simulation, Historical simulation, Sensitivity analysis, Stress testing, Value at Risk (VaR), Expected Shortfall, Credit risk modeling, Liquidity risk modeling, Optimization tools and pros including Comprehensive risk analytics, Industry standard models, Customizable modeling, Automated model validation, Regulatory compliance.

On the other hand, @RISK is a Office & Productivity product tagged with risk-analysis, simulation, forecasting, excel-addin.

Its standout features include Monte Carlo simulation, Risk analysis, Uncertainty modeling, Sensitivity analysis, Optimization, Forecasting, Predictive modeling, and it shines with pros like Powerful risk analysis capabilities, Integrates directly with Excel, Large number of probability distributions, Automates sensitivity analysis, Generates insightful visualizations, Helps make better decisions under uncertainty.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

ModelRisk

ModelRisk

ModelRisk is risk management software used by banks and financial services companies to model and quantify financial risks. It helps build, validate, and audit risk models for market risk, credit risk, and operational risk.

Categories:
Business & Commerce Financial Modeling
risk-management financial-risk market-risk credit-risk operational-risk banks financial-services

ModelRisk Features

  1. Monte Carlo simulation
  2. Historical simulation
  3. Sensitivity analysis
  4. Stress testing
  5. Value at Risk (VaR)
  6. Expected Shortfall
  7. Credit risk modeling
  8. Liquidity risk modeling
  9. Optimization tools

Pricing

  • Subscription-Based

Pros

Comprehensive risk analytics

Industry standard models

Customizable modeling

Automated model validation

Regulatory compliance

Cons

Expensive licensing

Steep learning curve

Requires quantitative expertise

Limited to financial services

@RISK

@RISK

@RISK is a risk analysis add-in for Microsoft Excel that uses Monte Carlo simulation to show possible outcomes in forecasts and predictions. It allows users to define uncertainty in their spreadsheet models to gain better insights into risks.

Categories:
Office & Productivity Spreadsheets
risk-analysis simulation forecasting excel-addin

@RISK Features

  1. Monte Carlo simulation
  2. Risk analysis
  3. Uncertainty modeling
  4. Sensitivity analysis
  5. Optimization
  6. Forecasting
  7. Predictive modeling

Pricing

  • One-time Purchase
  • Subscription-Based

Pros

Powerful risk analysis capabilities

Integrates directly with Excel

Large number of probability distributions

Automates sensitivity analysis

Generates insightful visualizations

Helps make better decisions under uncertainty

Cons

Steep learning curve

Can be computationally intensive for large models

Limited to uncertainty in spreadsheet models

Requires purchase of add-in for full capabilities