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Computational Economics and Finance: Modeling and Analysis with Mathematica®

Editat de Hal R. Varian
en Limba Engleză Mixed media product – 8 aug 1996
This book/software package divulges the combined knowledge of a whole international community of Mathematica users - from the fields of economics, finance, investments, quantitative business and operations research. The 23 contributors - all experts in their fields - take full advantage of the latest updates of Mathematica in their presentations and equip both current and prospective users with tools for professional, research and educational projects. The real-world and self-contained models provided are applicable to an extensive range of contemporary problems. The DOS disk contains Notebooks and packages which are also available online from the TELOS site.
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Specificații

ISBN-13: 9780387945187
ISBN-10: 0387945180
Pagini: 468
Ilustrații: XIV, 468 p. With Diskette.
Dimensiuni: 178 x 254 x 61 mm
Greutate: 1.77 kg
Ediția:1996
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States

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Descriere

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.

Cuprins

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.