Users can select the data points that they think are important and design their own evaluation models.
PIQ pre-calculates 100s of investment concepts and data points for users to combine to create unlimited models for any given industry or sector. Custom data sets and user selected weighting schemes makes the modeling fully custom and open ended. Using one of PIQ's advanced user tools, creating Custom Composites is easily accomplished.
Users can select and design their own evaluation models. PIQ provides the tools to choose weighting schemes across multiple data points.
Custom Composites allow investors to create and name their own variables and apply a relative importance to each of the various factors they choose. The table above shows a typical example of a user defined composite.
Investors may want to focus on growth by combining ROE averages and street forecasts for future earnings growth or maybe they are looking for stability by combining earnings variance, beta and market volatility or perhaps, they want to combine both; growth and stability.
The choices are open ended; any combination of factors will have the same dispersion math applied and show those companies that rank highest according to the user specifications. The results can then be shown in PIQ's grid-coordinate mapping.