@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.

Feature	@RISK	ModelRisk
Overall Score	N/A	N/A
Primary Category	Office & Productivity	Business & Commerce

Product Overview

@RISK

Description: @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.

ModelRisk

Description: 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.

Key Features Comparison

@RISK Features

• Monte Carlo simulation
• Risk analysis
• Uncertainty modeling
• Sensitivity analysis
• Optimization
• Forecasting
• Predictive modeling

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

Pros & Cons Analysis

@RISK

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

ModelRisk

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

Pricing Comparison

@RISK

• One-time Purchase
• Subscription-Based

ModelRisk

• Subscription-Based