@RISK vs ModelRisk
Struggling to choose between @RISK and ModelRisk? Both products offer unique advantages, making it a tough decision.
@RISK is a Office & Productivity solution with tags like risk-analysis, simulation, forecasting, excel-addin.
It boasts features such as Monte Carlo simulation, Risk analysis, Uncertainty modeling, Sensitivity analysis, Optimization, Forecasting, Predictive modeling and pros including 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.
On the other hand, ModelRisk is a Business & Commerce product tagged with risk-management, financial-risk, market-risk, credit-risk, operational-risk, banks, financial-services.
Its standout features include Monte Carlo simulation, Historical simulation, Sensitivity analysis, Stress testing, Value at Risk (VaR), Expected Shortfall, Credit risk modeling, Liquidity risk modeling, Optimization tools, and it shines with pros like Comprehensive risk analytics, Industry standard models, Customizable modeling, Automated model validation, Regulatory compliance.
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.
@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:
@RISK Features
- Monte Carlo simulation
- Risk analysis
- Uncertainty modeling
- Sensitivity analysis
- Optimization
- Forecasting
- Predictive modeling
Pricing
- One-time Purchase
- Subscription-Based
Pros
Cons
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:
ModelRisk Features
- Monte Carlo simulation
- Historical simulation
- Sensitivity analysis
- Stress testing
- Value at Risk (VaR)
- Expected Shortfall
- Credit risk modeling
- Liquidity risk modeling
- Optimization tools
Pricing
- Subscription-Based