Economic and Financial Modeling with Mathematica® mediafire.com, rapidgator.net, 4shared.com, uploading.com, uploaded.net Download Note: If you're looking for a free download links of Economic and Financial Modeling with Mathematica® pdf, epub, docx and torrent then this site is not for you. Mathematica; Economic and Financial Modeling with Mathematica [Hal R Varian] on Amazon.com. *FREE* shipping on qualifying offers. Includes a 3.5 disc.
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 a broad spectrum of Mathematica devotees in the econometric and financial/investment community on both the professional and academic fronts. Each paper provides a set of tools and examples of Mathematica in action. These tools will also be made accessible to users via a DOS-based floppy disk which will contain Mathematica Notebooks and Packages, and be packaged with the book.
Author by: Hal R. Varian Language: en Publisher by: Springer Format Available: PDF, ePub, Mobi Total Read: 33 Total Download: 761 File Size: 42,9 Mb Description: 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 by: Hal R. Varian Language: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 63 Total Download: 799 File Size: 52,5 Mb Description: 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. Author by: Jitka Dupacova Language: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 95 Total Download: 367 File Size: 45,7 Mb Description: In Part I, the fundamentals of financial thinking and elementary mathematical methods of finance are presented. The method of presentation is simple enough to bridge the elements of financial arithmetic and complex models of financial math developed in the later parts. It covers characteristics of cash flows, yield curves, and valuation of securities. Part II is devoted to the allocation of funds and risk management: classics (Markowitz theory of portfolio), capital asset pricing model, arbitrage pricing theory, asset & liability management, value at risk.
The method explanation takes into account the computational aspects. Part III explains modeling aspects of multistage stochastic programming on a relatively accessible level. It includes a survey of existing software, links to parametric, multiobjective and dynamic programming, and to probability and statistics. It focuses on scenario-based problems with the problems of scenario generation and output analysis discussed in detail and illustrated within a case study.
Author by: Hans M. Amman Language: en Publisher by: North-Holland Format Available: PDF, ePub, Mobi Total Read: 88 Total Download: 139 File Size: 45,9 Mb Description: The aim of this volume is to provide an introduction and selective overview of the rapidly emerging field of computational economics. Computational economics provides an important set of tools that an increasing number of economists will need to acquire in order to understand and do state-of-the-art research in virtually all areas of economics. Articles in the volume range from very applied, policy oriented applications of computational methods, to highly theoretical and mathematically complex analyses of algorithms and numerical methods. The book emphasizes the unique contributions of computational methods in economics, and focuses on problems for which well developed solutions are not already available from the literature in operations research, numerical methods, and computer science. As well as covering relatively mature areas in the field, a number of chapters are included which cover more speculative 'frontier topics,' in particular recently discovered computational innovations and research results.
For more information on the Handbooks in Economics series, please see our homepage on http: //www.elsevier.nl/locate/hes. Author by: Giovanni Masala Language: en Publisher by: Universitas Studiorum Format Available: PDF, ePub, Mobi Total Read: 49 Total Download: 378 File Size: 53,6 Mb Description: 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.