ModelRisk vs Risk Solver

Struggling to choose between ModelRisk and Risk Solver? 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 Solver is a Office & Productivity product tagged with risk-analysis, simulation, uncertainty-modeling, excel-addin.

Its standout features include Monte Carlo simulation, Sensitivity analysis, Optimization, Tornado charts, Scenario analysis, and it shines with pros like Easy to use within Excel, Powerful risk analysis capabilities, Large number of probability distributions available, Can handle large and complex models.

Feature	ModelRisk	Risk Solver
Overall Score	N/A	N/A
Primary Category	Business & Commerce	Office & Productivity

Product Overview

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.

Risk Solver

Description: Risk Solver is an Excel add-in developed by Frontline Systems that allows users to build risk analysis models and run simulations within Excel. It helps analyze the impact of uncertainty and risk in spreadsheet models.

Key Features Comparison

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

Risk Solver Features

• Monte Carlo simulation
• Sensitivity analysis
• Optimization
• Tornado charts
• Scenario analysis

Pros & Cons Analysis

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

Risk Solver

Pros

• Easy to use within Excel
• Powerful risk analysis capabilities
• Large number of probability distributions available
• Can handle large and complex models

Cons

• Requires purchase of Excel add-in
• Limited to Excel platform
• Steep learning curve for advanced features

Pricing Comparison

ModelRisk

• Subscription-Based

Risk Solver

• One-time Purchase