Computational Economics and Finance Modeling and Analysis with Mathematica®

As with the first volume, Volume Two of Economic and Financial Modeling with Mathematica is edited by Hal Varian, and its contributors are carefully selected by him to assure a high quality, practical work reflecting the efforts and expertise of an international cadre of Mathematica users from the economic, financial, investments, quantitative business and operations research communities.

Economics.- 1 Linear Programming with Mathematica: The Simplex Algorithm.- 2 Linear Programming with Mathematica: Sensitivity Analysis.- 3 Optimization with Mathematica.- 4 Optimizing with Piecewise Smooth Functions.- 5 Data Screening and Data Envelopment Analysis.- 6 Efficiency in Production and Consumption.- 7 Cost Allocation.- 8 Simulating the Effects of Mergers Among Noncooperative Oligopolists.- Finance.- 9 Auctions.- 10 Yield Management.- 11 Implementing Numerical Option Pricing Models.- 12 YieldCurve.- Statistics.- 13 Log Spectral Analysis: Variance Components of Asset Prices.- 14 Data Analysis Using Mathematica.- 15 Doing Monte Carlo Studies with Mathematica.- 16 Random[Title]: Manipulating Probability Density Functions.