@RISK vs MATLAB

Starting Price

Not provided by vendor Not provided by vendor

Best For

@RISK is used to analyze risk and uncertainty in a wide variety of industries. From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK.

Cloud-based and on-premise programming, modeling and simulation platform that enables users to analyze data, create algorithms, build models and run deployed models.

Rating


4.5 / 5
(7)


4.5 / 5
(959)

Ideal number of Users

1 - 1000+

Not provided by vendor

Ease of Use


4.5 / 5

4 / 5

Customer Support


4 / 5

4 / 5

Features & Functionality


5 / 5

4.5 / 5

Value for Money


4.5 / 5

4 / 5

Product Features

  • check Compliance Management
  • check Credit Risk Management
  • check For Hedge Funds
  • check Liquidity Analysis
  • check Loan Portfolio Management
  • check Market Risk Management
  • check Operational Risk Management
  • check Portfolio Management
  • check Portfolio Modeling
  • check Risk Analytics Benchmarks
  • check Stress Tests
  • check Value At Risk Calculation
Not provided by vendor

Screenshots

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Platform

Web/Installed

Mobile

Web/Installed

Mobile

Support

  • 24/7 (Live Rep)
  • Business Hours
  • Online
  • 24/7 (Live Rep)
  • Business Hours
  • Online

Training

  • check In Person
  • check Live Online
  • check Webinars
  • check Documentation
  • close In Person
  • check Live Online
  • check Webinars
  • check Documentation

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@RISK vs MATLAB

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