Modeling any correlated behavior between distributions is a critical component in risk analysis. ModelRisk allows the user to visualize and fit correlation structures to data through its copula tools. Through its unique approach to correlating variables, any number of distributions can be correlated. ModelRisk's own data copula offers a powerful way to replicate any unusual correlation pattern. Uniquely, ModelRisk has built-in tools for simulating time series, together with graphical interfaces and fitting to datato ensure you understand and select the right time series model. The custom time series tools also let you create your own expert-based forecasts. ModelRisk incorporates the world's leading simulation optimizer from OptTek Systems. Targets, constraints, decision variables and requirements are all defined with ModelRisk functions within the Excel spreadsheet. A graphical interface reports the optimizer's progress and allows the user to insert optimal solutions back into the model with one mouse click.
ModelRisk's Ordinary Differential Equation (ODE) tool numerically evaluates a system of ordinary differential equations. The user can specify any differential equations that can be described with Excel functions. One or more time stamps (specific points in time) can be specified for the evaluation of the variable(s). The interface will plot any variable against time or any two variables together. ModelRisk's DataObject tool allows the user to create links to unopened Excel files or various types of databases. An SQL wizard guides the user to select what is required from the database, and a preview feature shows the selected data. The data can then be used in various ways within ModelRisk, including fitting to distributions, correlation structures and time series models.
What's new in this version:
Improved Results Viewer; PK/PD modeling tool;