Last edited by Nele
Friday, April 17, 2020 | History

9 edition of Applied Computational Economics and Finance found in the catalog.

Applied Computational Economics and Finance

  • 83 Want to read
  • 28 Currently reading

Published by The MIT Press .
Written in English

    Subjects:
  • Econometrics,
  • Finance,
  • Economics - Macroeconomics,
  • Business Mathematics,
  • Business & Economics,
  • Business / Economics / Finance,
  • Business/Economics,
  • Economics - General,
  • General,
  • Business & Economics / Finance

  • The Physical Object
    FormatPaperback
    Number of Pages528
    ID Numbers
    Open LibraryOL9657473M
    ISBN 100262633094
    ISBN 109780262633093


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Applied Computational Economics and Finance by Mario J. Miranda Download PDF EPUB FB2

" This book is an important contribution to the rapidly growing literature on computational economics and finance.

It provides an extremely well integrated presentation of dynamic economic models and some of the most effective numerical methods for solving them. It reinforces these ideas by providing illustrative solutions written in by: Summary.

This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses.

The examples are drawn from a wide range of subspecialties of economics and finance. This book makes understanding concepts so much easy, and is very readable as well. It provides examples with codes written to carry out the examples as well.

The end-of-chapter exercises are also helpful and relevant. A must purchase for any economics students interested in Computational and neumerical economics/5(17). This book presents a variety of computational methods used to solve dynamic problems in economics and finance.

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It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses/5(12).

Applied Computational Economics and Finance. This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses.

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Very good and useful Matlab toolkit. However, the theoretical side is relatively weak and not covered well. This book presents a variety of computational methods used to solve dynamic problems in economics and finance.

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Applied Computational Economics and Finance Mario J. Miranda The Ohio State Univ ersit y and P aul L. F ac kler North Carolina State Univ ersit y. Con ten ts Preface xii 1 In tro duction Some Apparen tly Simple Questions.

1 An Alternativ e Analytic F ramew ork. 3 Exercises. 5 2 Computer Basics and Linear Equations 8 ComputerFile Size: 3MB. Buy Applied Computational Economics and Finance (): NHBS - Mario j Miranda and Paul L Fackler, MIT Press.

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Applied Computational Economics and Finance by Mario J. Miranda and Paul L. Fackler This is an excellent book for self-study of applied computational methods. If you've been taught this theory but still feel stuck in approaching applications or having a deeper understanding of the solutions, this book will help you get unstuck.

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Publication date Topics Economics -- Data processing, Economics, Mathematical, Finance -- Data processingPages: Applied Computational Economics and Finance Mario J. Miranda and Paul L. Fackler The MIT Press Cambridge, Massachusetts London, England.

Contents Preface xv 1 Introduction 1 Some Apparently Simple Questions 1 An Alternative Analytic Framework 3 Exercises 4 2 Linear Equations and Computer Basics 7. An introduction to the use of computational methods to solve problems in economics and finance.

Applied Computational Economics and Finance Solutions to Exercises using Stata and Mata The excellent book Applied Computational Economics and Finance by Mario J. Miranda and Paul L. Fackler (MIT Press, ) provides numerous well-designed exercises for those studying the book to solidify their understanding and work with applications.

Unfortunately, the book does not come with a. This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses.

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Miranda,available at Book Depository with free delivery worldwide/5(12). The CompEcon Toolbox was developed to accompany: Applied Computational Economics and Finance, Mario J. Miranda & Paul L. Fackler, MIT Press MATLAB code for all of the examples in the text is supplied with the CompEcon Toolbox.

PLEASE READ BEFORE YOU CONTACT ME ABOUT PROBLEMS YOU ENCOUNTER. The CompEcon Toolbox runs on any MATLAB version 5 or. Buy Applied Computational Economics and Finance by Mario J Miranda, Paul L Fackler online at Alibris. We have new and used copies available, in 2 editions - starting at $ Shop now.

Ken Judd's Numerical Methods in Economics is a classic reference. It provides a thorough grounding in the basic theory of numerically approximating dynamic models in macroeconomics and game theory.

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Last update: 04/27/ The result is a book that enables students to be creative in developing models that are relevant to the economic problems of their times. Unlike other computational economics textbooks, this book is organized around economic topics, among them macroeconomics, microeconomics, and finance.

Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency.

This book contains research ranging from applications in. Computational economics is a research discipline at the interface of computer science, economics, and management science. This subject encompasses computational modeling of economic systems, whether agent-based, general-equilibrium, macroeconomic, or rational-expectations, computational econometrics and statistics, computational finance.

Chapters consider prediction and modeling methodologies. Chapters focus on auctions and equilibria. Volatility models are investigated in chapters The final two chapters investigate risk assessment and product pricing. Audience: Researchers working in computational issues related to economics, finance, and management science.

Computational finance is a branch of pdf computer science that deals pdf problems of practical interest in finance. Some slightly different definitions are the study of data and algorithms currently used in finance and the mathematics of computer programs that realize financial models or systems.

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