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    Vose ModelRisk Complete (Annual Subscription)

    ModelRisk Industrial is an Excel-based risk analysis, simulation and optimization tool that allows users to build dynamic business and finance models / applications that incorporate advanced risk analysis techniques and live data using data-objects. Includes Data Objects, Application Developer Kit, Advanced Finance and Insurance Functions, 1st year maintenance & OptQuest Optimization

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    subscription price: $711.00 per 1 year(s)
    $711.00
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    Products specifications
    Min. OS Requirement Windows XP
    Language English
    Add-In Requires Excel
    Available for Mac No, requires Parallels Emulation
    Price includes 1st year maintenance Yes
    Requires other Software? Requires Microsoft Excel to run
    Scripting Support Built In
    Simulation Monte Carlo
    VBA Support Built In
    CSV Support Yes
    XML Support Yes
    Distribution Fitting Built In
    User Defined Distributions Yes
    Distribution Gallery 72 base distributions (& 17 Alternate versions) + 7 Multivariate Distributions
    Monte Carlo Sampling Yes
    Latin HyperCube Sampling No
    Process Capability (6 Sigma) Yes
    Sensitivity Analysis Yes
    Tornado Analysis No
    Precision Control Yes
    Probability calculations functions Yes
    Correlation Yes
    Correlation Methods Normal + Non-Normal Copulas
    SIP Math Support No
    Decision Trees We recommend : Palisade PrecisionTree
    MS Project Support No
    Stats Tools 3rd party option. We recommend Minitab, Analyse-it and Palisade StatsTools
    Charting Built In
    Charts can be customized Yes
    Automated Reporting Yes
    Multi-Core Support Yes
    Developper Kit Yes
    Example Models Yes
    Network Licensing Available Yes
    Data Base Integration Special ODBC interface to update model compnents
    Supported DBs Standard ODBC sources from Excel + 3rd party connectors
    User Defined Distribution Library Industrial Edition ONLY: Distributions can be generated and saved to an SQL or SQL Express DB and can be made available to other ModelRisk users who have access to the repository
    Linear Optimization Methods No
    Non-Linear Optimization Methods Yes
    Requirements / Soft Constraints yes
    Max Requirements Unlimited
    Max Decision Variables Unlimited
    PSI support no
    Solution Filtering yes
    Efficient Frontier no
    Scenario Analysis Support Must be setup as separate submodels
    Convergence Testing yes
    Genetic Algorithims yes
    Ranges for Decision Variables yes
    Main Solver Engine OptQuest
    Optimize multiple statistics Optimization can be done on 11 different statisics (Mean, Variance, Standard Deviation, Skewness, Kurtosis, Percentile, Min/Max, Mode and Range)
    Optimization Goal Types Minimize, Maximize & Set Target
    Static Optimization Support yes
    Dynamic Optimization Support no
    Stochastic Optimization Support yes
    Time Series as distributions Yes
    Time Series Fitting Yes
    Time Series Methods 15 Univariate Methods + 6 Multivariate Methods + Econometric Wilkie Models
    Multiple Linear Regression We recommend Minitab
    Seasonal Methods Seasonal GBM
    Non-Seasonal Methods AR(1&2), MA(1&2)
    GBM Support Univariate, Multivariate and Seasonal
    Cubic Spline No
    Heteroscedastic Models ARCH, GARCH, EGARCH and APARCH
    ARIMA Support Partial Support for ARMA
    AutoARIMA No
    Data Sensoring Automatic
    Time-Series Event Support No
    Define Time Series All available methods can be configured manually using parameters
    Markov Chains Complete Function Set
    Automatic Data Transform Yes
    Manual Data Transform Methods No
    Manual Deseasonalization No
    Manual Detrending No
    Visualize Simulated Output Yes
    Exception Reporting Yes
    Time Series Scenario Analysis No
    Error Measures No
    Time Series Fit Criteria Information Criteria (Akaike, Shwartz, Hannan Quinn)