Finance Mathematica

The Wolfram Research development team is pleased to announce the availability of Finance Platform 13.3.0 is finance tool that harnesses the computational power of Wolfram’s Mathematica software and applies it to finance workflows.

Mathematica is a computer program (software) for doing symbolic, numeric and graphical analysis of mathematical problems. In the hands of economists, financial analysts and other professionals in econometrics and the quantitative sector of economic and financial modeling, it can be an invaluable tool for modeling and simulation on a large number of issues and problems, besides easily grinding out numbers, doing statistical estimations and rendering graphical plots and visuals. Mathematica enables these individuals to do all of this in a unified environment.

Starting with Version 14.1, Wolfram|One, Mathematica, Wolfram|Alpha Notebook Edition, and Finance Platform are all accessed through the new unified product, Wolfram. The Wolfram application was created to ensure a simplified installer for all supported products.

Starting with Version 14.1, Wolfram|One, Mathematica, Wolfram|Alpha Notebook Edition, and Finance Platform are all accessed through the new unified product, Wolfram. The Wolfram application was created to ensure a simplified installer for all supported products.

Starting with Version 14.1, Wolfram|One, Mathematica, Wolfram|Alpha Notebook Edition, and Finance Platform are all accessed through the new unified product, Wolfram. The Wolfram application was created to ensure a simplified installer for all supported products.

Starting with Version 14.1, Wolfram|One, Mathematica, Wolfram|Alpha Notebook Edition, and Finance Platform are all accessed through the new unified product, Wolfram. The Wolfram application was created to ensure a simplified installer for all supported products.

Students in various disciplines—from law and government to business and health policy—need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory.

Students in various disciplines—from law and government to business and health policy—need to understand several quantitative aspects of finance (such as the capital asset pricing model or financial options) and policy analysis (e.g., assessing the weight of probabilistic evidence) but often have little quantitative background. This book illustrates those phenomena and explains how to illustrate them using the powerful visuals that computing can produce. Of particular interest to graduate students and scholars in need of sharper quantitative methods, this book introduces the reader to Mathematica, enables readers to use Mathematica to produce their own illustrations, and places specific emphasis on finance and policy as well as the foundations of probability theory.