ModelRisk Standard Edition is an Excel-based risk analysis, simulation, optimization and time-series tool that allows users to incorporate advanced risk analysis techniques in business risk analysis models.

Model Risk Standard Includes:

 

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