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Vose ModelRisk Industrial

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

Picture of Vose ModelRisk Industrial Vose ModelRisk Industrial - Perpetual License
Vose ModelRisk Industrial Vose ModelRisk Industrial - Perpetual License
ModelRisk Industrial is an Excel-based risk analysis, simulation, optimization, and time-series tool that allows users to incorporate advanced risk analysis techniques in business, actuarial and financial risk analysis models. ModelRisk Industrial Edition also includes a developper kit to automate complex models and calculations using VBA and C++.
SKU: VMR11P-MLA
$2,295.00
$2,180.25
Picture of Vose ModelRisk Industrial Vose ModelRisk Industrial  1yr Subscription
Vose ModelRisk Industrial Vose ModelRisk Industrial 1yr Subscription
ModelRisk Industrial is an Excel-based risk analysis, simulation, optimization, and time-series tool that allows users to incorporate advanced risk analysis techniques in business, actuarial and financial risk analysis models. ModelRisk Industrial Edition also includes a developper kit to automate complex models and calculations using VBA and C++.
SKU: VMR11P-MLC
$1,150.00
$1,092.50
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
Requires other Software? Requires Microsoft Excel to run
Scripting Support Built In
Simulation Monte Carlo
VBA Support Built In
CSV Support
XML Support
Distribution Fitting Built In
User Defined Distributions
Distribution Gallery 72 base distributions (& 17 Alternate versions) + 7 Multivariate Distributions
Monte Carlo Sampling
Latin HyperCube Sampling
Process Capability (6 Sigma)
Sensitivity Analysis
Tornado Analysis
Precision Control
Probability calculations functions
Correlation
Correlation Methods Normal + Non-Normal Copulas
SIP Math Support
Decision Trees We recommend : Palisade PrecisionTree
MS Project Support
Stats Tools 3rd party option. We recommend Minitab, Analyse-it and Palisade StatsTools
Charting Built In
Charts can be customized
Automated Reporting
Multi-Core Support
Developper Kit
Example Models
Network Licensing Available
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
Non-Linear Optimization Methods
Requirements / Soft Constraints
Max Requirements Unlimited
Max Decision Variables Unlimited
PSI support
Solution Filtering
Efficient Frontier
Scenario Analysis Support Must be setup as separate submodels
Convergence Testing
Genetic Algorithims
Ranges for Decision Variables
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
Dynamic Optimization Support
Stochastic Optimization Support
Time Series as distributions
Time Series Fitting
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
Heteroscedastic Models ARCH, GARCH, EGARCH and APARCH
ARIMA Support Partial Support for ARMA
AutoARIMA
Data Sensoring Automatic
Time-Series Event Support
Define Time Series All available methods can be configured manually using parameters
Markov Chains Complete Function Set
Automatic Data Transform
Manual Data Transform Methods
Manual Deseasonalization
Manual Detrending
Visualize Simulated Output
Exception Reporting
Time Series Scenario Analysis
Error Measures
Time Series Fit Criteria Information Criteria (Akaike, Shwartz, Hannan Quinn)
Product description

ModelRisk Industrial is an Excel-based risk analysis, simulation, optimization, and time-series tool that allows users to incorporate advanced risk analysis techniques in business, actuarial and financial risk analysis models. ModelRisk Industrial Edition also includes a developper kit to automate complex models and calculations using VBA and C .

The Industrial version of ModelRisk offers extended modeling capabilities by granting direct access to Core ModelRisk routines. This enables the mode ler to produce even more flexible and faster models, which may or may not be connected to a spreadsheet.

The Core ModelRisk functions can be called via :

  • ModelRisk COM Object, which is easier to use, but performs a bit slower
  • Direct DLL access to ModelRisk routines, which offers the fastest possible access, but needs more complex coding
  • ModelRisk Professional Plus also makes it much easier to use ModelRisk functions within VBA.

 

ModelRisk Industrial offers direct access to the following groups of functions:

  • Distribution generating functions
  • Percentile calculation functions
  • Probability calculation functions
  • Probability calculation functions in Log10
  • Copula generating functions
  • Time Series generating functions

In combination with Excel, ModelRisk gives access to the most up-to-date, advanced quantitative techniques available without resorting to complex programming. ModelRisk allows you to build accurate, state-of-the art models in a fraction of the time previously required.

 

ModelRisk Features

Standard

Professional

Industrial

S
T
A
N
D
A
R
D

Unrestricted speed and model size Y Y Y
Monte Carlo simulation Y Y Y
Bounded, shifted distributions Y Y Y
Correlation of distributions Y Y Y
One-click function view Y Y Y
ModelRisk function search and format tool Y Y Y
Run macros before, during or after simulation Y Y Y
VBA and C++ calls to ModelRisk functions Y Y Y
Full graphical simulation reports Y Y Y
Full statistical reports Y Y Y
View simulation results statistics in spreadsheet Y Y Y
Export results Y Y Y
Save results in Results Viewer format Y Y Y
Sensitivity analysis Y Y Y
Scenario analysis Y Y Y
Conversion from other Monte Carlo add-ins Y Y Y
Full help file and example models Y Y Y
Informative error messages Y Y Y

P
R
O
F
E
S
S
I
O
N
A
L

Optimization n Y Y
Time series forecast n Y Y
Fitting distributions to data n Y Y
Fitting correlation structures to data n Y Y
Fitting time series to data n Y Y
Statistical fit results in spreadsheet n Y Y
Data Viewer n Y Y
Expert elicitation tools n Y Y
Probability calculations n Y Y
Working with ModelRisk objects n Y Y
Markov chain tools n Y Y
Combining expert estimates n Y Y
Bootstrap tools n Y Y
Calculation of distribution moments n Y Y
Empirical copula to reproduce any correlation pattern n Y Y
Stop Sum and Sum Product tools n Y Y
Risk Event tool n Y Y
Extreme Value tool n Y Y

I
N
D
U
S
T
R
I
A
L

Six Sigma support n n Y
Assumptions library n n Y
Database connectivity n n Y
Financial tools n n Y
Insurance tools n n Y
Ordinary differential equation n n Y
Integration n n Y
Interpolation n n Y
Distribution splicing n n Y
Bayesian averaging for fitted models n n Y
Nested summation and product tools n n Y
Additional information
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
Requires other Software? Requires Microsoft Excel to run
Scripting Support Built In
Simulation Monte Carlo
VBA Support Built In
CSV Support
XML Support
Distribution Fitting Built In
User Defined Distributions
Distribution Gallery 72 base distributions (& 17 Alternate versions) + 7 Multivariate Distributions
Monte Carlo Sampling
Latin HyperCube Sampling
Process Capability (6 Sigma)
Sensitivity Analysis
Tornado Analysis
Precision Control
Probability calculations functions
Correlation
Correlation Methods Normal + Non-Normal Copulas
SIP Math Support
Decision Trees We recommend : Palisade PrecisionTree
MS Project Support
Stats Tools 3rd party option. We recommend Minitab, Analyse-it and Palisade StatsTools
Charting Built In
Charts can be customized
Automated Reporting
Multi-Core Support
Developper Kit
Example Models
Network Licensing Available
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
Non-Linear Optimization Methods
Requirements / Soft Constraints
Max Requirements Unlimited
Max Decision Variables Unlimited
PSI support
Solution Filtering
Efficient Frontier
Scenario Analysis Support Must be setup as separate submodels
Convergence Testing
Genetic Algorithims
Ranges for Decision Variables
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
Dynamic Optimization Support
Stochastic Optimization Support
Time Series as distributions
Time Series Fitting
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
Heteroscedastic Models ARCH, GARCH, EGARCH and APARCH
ARIMA Support Partial Support for ARMA
AutoARIMA
Data Sensoring Automatic
Time-Series Event Support
Define Time Series All available methods can be configured manually using parameters
Markov Chains Complete Function Set
Automatic Data Transform
Manual Data Transform Methods
Manual Deseasonalization
Manual Detrending
Visualize Simulated Output
Exception Reporting
Time Series Scenario Analysis
Error Measures
Time Series Fit Criteria Information Criteria (Akaike, Shwartz, Hannan Quinn)