Mathematical Tools For Economics And Finance With Mathematica Software
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| Author | : Giovanni Masala |
| Publisher | : Universitas Studiorum |
| Total Pages | : 346 |
| Release | : 2015-06-22 |
| Genre | : Computers |
| ISBN | : 8899459037 |
Mathematica is a scientific software dedicated to symbolic and numerical calculus, developed by a team directed by Stephen Wolfram. The potential applications are extremely wide and may comprise, for example, pure and applied Mathematics, Statistics, Economics, Finance and Engineering. The first version 1.0 was published on 1988 while the current version 10.0 was released on 2014. Mathematica also permits to develop sophisticated program code thanks to its own syntax and besides, it can be used as a highly accurate text Editor. This book is a complete and up-to-date guide to Mathematica Software.Contents: Introduction, Linear Algebra, Functions of a real variable, Functions of several variables, Implicit funcions theorem, Unconstrained optimization, Constrained optimization, Ordinary differential equations and systems, Dynamic optmization, Stochastic calculus, Financial Applications, etc.
| Author | : Hal R. Varian |
| Publisher | : Springer |
| Total Pages | : 480 |
| Release | : 2013-11-21 |
| Genre | : Business & Economics |
| ISBN | : 1475722818 |
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. This book's main use is that of an applications handbook. Modeling in Economics and Finance with Mathematica is a compilation of contributed papers prepared by experienced, "hands on" users of the Mathematica program. They come from
| Author | : Angel de la Fuente |
| Publisher | : Cambridge University Press |
| Total Pages | : 630 |
| Release | : 2000-01-28 |
| Genre | : Business & Economics |
| ISBN | : 9780521585293 |
A textbook for a first-year PhD course in mathematics for economists and a reference for graduate students in economics.
| Author | : William T. Shaw |
| Publisher | : Cambridge University Press |
| Total Pages | : 570 |
| Release | : 1998-12-10 |
| Genre | : Business & Economics |
| ISBN | : 9780521592338 |
CD plus book for financial modelling, requires Mathematica 3 or 2.2; runs on most platforms.
| Author | : Mario J. Miranda |
| Publisher | : MIT Press |
| Total Pages | : 532 |
| Release | : 2002 |
| Genre | : Business & Economics |
| ISBN | : 9780262633093 |
An introduction to the use of computational methods to solve problems in economics and finance.
| Author | : Soren Bo Nielsen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 462 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 146151049X |
The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance.
| Author | : Arsen Melkumian |
| Publisher | : Routledge |
| Total Pages | : 232 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 1136868992 |
This textbook, designed for a single semester course, begins with basic set theory, and moves briskly through fundamental, exponential, and logarithmic functions. Limits and derivatives finish the preparation for economic applications, which are introduced in chapters on univariate functions, matrix algebra, and the constrained and unconstrained optimization of univariate and multivariate functions. The text finishes with chapters on integrals, the mathematics of finance, complex numbers, and differential and difference equations. Rich in targeted examples and explanations, Mathematical Economics offers the utility of a handbook and the thorough treatment of a text. While the typical economics text is written for two semester applications, this text is focused on the essentials. Instructors and students are given the concepts in conjunction with specific examples and their solutions.
| Author | : Colin Rose |
| Publisher | : Springer |
| Total Pages | : 508 |
| Release | : 2002 |
| Genre | : Business & Economics |
| ISBN | : 9780387952345 |
This text and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software empowers the student with the ability to solve difficult problems. The professional statistician should be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulae. This is the ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences. The mathStatica CD-ROM includes: mathStatica - the applications pack for mathematical statistics, custom Mathematica palettes, live interactive book that is identical to the printed text, online help, and a trial version of Mathematica 4.0.
| Author | : Hansjoerg Albrecher |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 190 |
| Release | : 2013-06-28 |
| Genre | : Mathematics |
| ISBN | : 3034805195 |
Swaps, futures, options, structured instruments - a wide range of derivative products is traded in today's financial markets. Analyzing, pricing and managing such products often requires fairly sophisticated quantitative tools and methods. This book serves as an introduction to financial mathematics with special emphasis on aspects relevant in practice. In addition to numerous illustrative examples, algorithmic implementations are demonstrated using "Mathematica" and the software package "UnRisk" (available for both students and teachers). The content is organized in 15 chapters that can be treated as independent modules. In particular, the exposition is tailored for classroom use in a Bachelor or Master program course, as well as for practitioners who wish to further strengthen their quantitative background.
| Author | : N.V. Hritonenko |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 225 |
| Release | : 2013-04-17 |
| Genre | : Mathematics |
| ISBN | : 1441997334 |
The problems of interrelation between human economics and natural environment include scientific, technical, economic, demographic, social, political and other aspects that are studied by scientists of many specialities. One of the important aspects in scientific study of environmental and ecological problems is the development of mathematical and computer tools for rational management of economics and environment. This book introduces a wide range of mathematical models in economics, ecology and environmental sciences to a general mathematical audience with no in-depth experience in this specific area. Areas covered are: controlled economic growth and technological development, world dynamics, environmental impact, resource extraction, air and water pollution propagation, ecological population dynamics and exploitation. A variety of known models are considered, from classical ones (Cobb Douglass production function, Leontief input-output analysis, Solow models of economic dynamics, Verhulst-Pearl and Lotka-Volterra models of population dynamics, and others) to the models of world dynamics and the models of water contamination propagation used after Chemobyl nuclear catastrophe. Special attention is given to modelling of hierarchical regional economic-ecological interaction and technological change in the context of environmental impact. Xlll XIV Construction of Mathematical Models ...
