The object orientation extends to the data analysis and output, with each procedure stored as a working model whose components can be referenced specifically. However, the robust regression feature is particularly noteworthy. A scripting window is available for programmers to create their own functions and procedures, and to modify and customize the graphical environment. Garch is particularly useful in modeling time series, such as volatility, where levels surge from state to state and then persist there for some time. All classes of Garch models, including multivariate, are included.
Wavelets are a particularly interesting addition.
Because financial markets often oscillate about a central convergent tendency, prices can be conceived of as waves of varying frequencies. This concept underlies Fourier transforms and spectral analysis. Just as Garch is an extension of Arima, wavelets are an extension of these modeling techniques. Customer support and documentation The manuals and online help functions are extensive in documenting the features and procedures and in providing notes on the mathematics and statistics behind many of the techniques. The online manual uses .pdf files requiring Adobe Acrobat, available on the CD-ROM, to view.