Rapidly create interactive test models, analyze data, and seamlessly scale up to large, high-powered simulations—all in one system, with one integrated workflow.
The Mathematica econometrics solution is unique in providing built-in, ready-to-use economic data alongside powerful statistical analysis tools, built-in parallel processing, and state-of-the-art symbolic and numerical computation.
Using built-in or imported data to instantly create interactive applications
Dynamically exploring the effects of federal funds rate cuts of 0.5% or more on major macroeconomic variables
Performing powerful statistical computation using built-in functions
Interactively determining the upper-tailed critical values of the Fisher-Snedecor distribution
Mixing live reporting with structured information and presenting as a document or slide show
A notebook instantly transformed to a slide show with interactive content that can be modified during a presentation
Running efficient simulations powered by sophisticated random number generation
A geometric Brownian motion simulation of a daily stock return series
Compare Mathematica to your current tools. Do they have these advantages?
Complete workflow, from data import to analysis to interactive document or slide show, all in one system Competitor note: R, SAS, Minitab, and other software do not support a complete workflow in a single environment
Built-in current and historical financial, socioeconomic, and other data ready for computation without preprocessing Competitor note: Built-in data combined with high-powered computation is unique to Mathematica
Powerful symbolic statistical computation and built-in functions for all standard statistical distributions Competitor note: R, STATA, and other numerical systems do not include symbolic functionality
Seamless integration of numerics, symbolics, interactive graphics, and all other computational aspects in one document Competitor note: Unique to Mathematica
KEY CAPABILITIES
WHY CHOOSE MATHEMATICA
WAYS TO USE
Analyzing stationary and non-stationary time series data
Performing Monte Carlo simulations, bootstrap analysis, probability estimations, and more
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