Computation In Economics Finance And Engineering

Author : Erricos Kontoghiorghes,Berc Rustem,Peter Winker
Publisher : Springer Science & Business Media
Page : 425 pages
File Size : 53,7 Mb
Release : 2008-02-26
Category : Business & Economics
ISBN : 9783540779582

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Computational Methods in Financial Engineering by Erricos Kontoghiorghes,Berc Rustem,Peter Winker Pdf

Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance.

Author : Mario J. Miranda,Paul L. Fackler
Publisher : MIT Press
Page : 529 pages
File Size : 51,5 Mb
Release : 2004-08-20
Category : Business & Economics
ISBN : 9780262291750

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Applied Computational Economics and Finance by Mario J. Miranda,Paul L. Fackler Pdf

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, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs. The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.

Author : Shu-Heng Chen
Publisher : Physica
Page : 459 pages
File Size : 40,9 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783790817843

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Evolutionary Computation in Economics and Finance by Shu-Heng Chen Pdf

After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.

Author : Shu-Heng Chen
Publisher : Physica
Page : 460 pages
File Size : 50,7 Mb
Release : 2014-03-12
Category : Computers
ISBN : 3662003155

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Evolutionary Computation in Economics and Finance by Shu-Heng Chen Pdf

After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.

Author : Shu-Heng Chen,Mak Kaboudan,Ye-Rong Du
Publisher : Oxford University Press
Page : 784 pages
File Size : 53,6 Mb
Release : 2018-01-12
Category : Business & Economics
ISBN : 9780190877507

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The Oxford Handbook of Computational Economics and Finance by Shu-Heng Chen,Mak Kaboudan,Ye-Rong Du Pdf

The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

Author : Oscar Afonso,Paulo B. Vasconcelos
Publisher : Routledge
Page : 266 pages
File Size : 54,5 Mb
Release : 2015-08-27
Category : Business & Economics
ISBN : 9781317508656

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Computational Economics by Oscar Afonso,Paulo B. Vasconcelos Pdf

Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it computationally is becoming a crucial and distinctive competence for most economists. This vital textbook is organized around static and dynamic models, covering both macro and microeconomic topics, exploring the numerical techniques required to solve those models. A key aim of the book is to enable students to develop the ability to modify the models themselves so that, using the MATLAB/Octave codes provided on the book and on the website, students can demonstrate a complete understanding of computational methods. This textbook is innovative, easy to read and highly focused, providing students of economics with the skills needed to understand the essentials of using numerical methods to solve economic problems. It also provides more technical readers with an easy way to cope with economics through modelling and simulation. Later in the book, more elaborate economic models and advanced numerical methods are introduced which will prove valuable to those in more advanced study. This book is ideal for all students of economics, mathematics, computer science and engineering taking classes on Computational or Numerical Economics.

Author : Apostolos-Paul N. Refenes,Andrew N. Burgess,John E. Moody
Publisher : Springer Science & Business Media
Page : 472 pages
File Size : 41,5 Mb
Release : 2013-12-01
Category : Business & Economics
ISBN : 9781461556251

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Decision Technologies for Computational Finance by Apostolos-Paul N. Refenes,Andrew N. Burgess,John E. Moody Pdf

This volume contains selected papers that were presented at the International Conference COMPUTATIONAL FINANCE 1997 held at London Business School on December 15-17 1997. Formerly known as Neural Networks in the Capital Markets (NNCM), this series of meetings has emerged as a truly multi-disciplinary international conference and provided an international focus for innovative research on the application of a multiplicity of advanced decision technologies to many areas of financial engineering. It has drawn upon theoretical advances in financial economics and robust methodological developments in the statistical, econometric and computer sciences. To reflect its multi-disciplinary nature, the NNCM conference has adopted the new title COMPUTATIONAL FINANCE. The papers in this volume are organised in six parts. Market Dynamics and Risk, Trading and Arbitrage strategies, Volatility and Options, Term-Structure and Factor models, Corporate Distress Models and Advances on Methodology. This years' acceptance rate (38%) reflects both the increasing interest in the conference and the Programme Committee's efforts to improve the quality of the meeting year-on-year. I would like to thank the members of the programme committee for their efforts in refereeing the papers. I also would like to thank the members of the computational finance group at London Business School and particularly Neil Burgess, Peter Bolland, Yves Bentz, and Nevil Towers for organising the meeting.

Author : Sean Holly
Publisher : Pergamon
Page : 458 pages
File Size : 41,9 Mb
Release : 2000
Category : Business & Economics
ISBN : IND:30000076430051

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Computation in Economics, Finance, and Engineering by Sean Holly Pdf

This volume contains papers that were presented at the Symposium on Computation in Economics and Finance organised under the auspices of the International Federation of Automatic Control and the Society for Computational Economics. The Conference was held at Cambridge University, UK, from 29th June to the 1st July 1998. It attracted many members of the international academic and research community in computational economics, finance and econometrics. This volume brings together a number of papers that demonstrate the use of computational methods in a variety of areas in economics and finance. The contributions to the Symposium reflect the various shifts in the profession and the increasing use of computationally intensive techniques for the analysis of economic processes. Papers have been grouped into sections, according to their context rather than in the order in which they were presented. Section 1 groups papers in the area of Finance including both theoretical and empirical studies. Section 2 reflects a fast growing interest in seeking to model economic processes in novel ways drawing on the emerging literature in artificial intelligence and genetic adaptation. Section 3 demonstrates the growing use of computational languages as a tool for the analysis and modelling of economic systems. Subsequent sections range across many areas involving game theory, policy co-ordination, agent based models, time series and econometrics, neural networks, nonlinearities and simulation methods. The preparation and selection of this volume owes much to the assistance and advice of both Berccedil; Rustem and David Kendrick and the steering committee of the Society for Computational Economics.

Author : Paul P. Wang,Tzu-Wen Kuo
Publisher : Springer Science & Business Media
Page : 232 pages
File Size : 43,7 Mb
Release : 2007-07-11
Category : Computers
ISBN : 9783540728214

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Computational Intelligence in Economics and Finance by Paul P. Wang,Tzu-Wen Kuo Pdf

Readers will find, in this highly relevant and groundbreaking book, research ranging from applications in financial markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results.

Author : Hal R. Varian
Publisher : Springer Science & Business Media
Page : 486 pages
File Size : 55,7 Mb
Release : 1996-08-09
Category : Business & Economics
ISBN : 0387945180

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Computational Economics and Finance by Hal R. Varian Pdf

This collection of articles is edited by Hal Varian, Dean of the School of Information Management and Systems, University of California, Berkeley. It provides a high quality and practical selection of contributed articles that impart the expertise of an international contingent of Mathematica users from the economic, financial, investments, quantitative business and operations research communities.

Author : Ludmila Dymowa
Publisher : Springer Science & Business Media
Page : 303 pages
File Size : 41,9 Mb
Release : 2011-01-21
Category : Technology & Engineering
ISBN : 9783642177194

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Soft Computing in Economics and Finance by Ludmila Dymowa Pdf

Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping, fuzzy scheduling and logistic. An essential feature of economic and financial problems it that there are always at least two criteria to be taken into account: profit maximization and risk minimization. Therefore, the economic and financial problems are multiple criteria ones. In this book, a new systematization of the problems of multiple criteria decision making is proposed which allows the author to reveal unsolved problems. The solutions of them are presented as well and implemented to deal with some important real-world problems such as investment project’s evaluation, tool steel material selection problem, stock screening and fuzzy logistic. It is well known that the best results in real -world applications can be obtained using the synthesis of modern methods of soft computing. Therefore, the developed by the author new approach to building effective stock trading systems, based on the synthesis of fuzzy logic and the Dempster-Shafer theory, seems to be a considerable contribution to the application of soft computing method in economics and finance. An important problem of capital budgeting is the fuzzy evaluation of the Internal Rate of Return. In this book, this problem is solved using a new method which makes it possible to solve linear and nonlinear interval and fuzzy equations and systems of them. The developed new method allows the author to obtain an effective solution of the Leontjev’s input-output problem in the interval setting.

Author : Anthony Brabazon,Michael O'Neill
Publisher : Springer
Page : 250 pages
File Size : 50,7 Mb
Release : 2009-01-30
Category : Business & Economics
ISBN : 9783540959748

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Natural Computing in Computational Finance by Anthony Brabazon,Michael O'Neill Pdf

Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems. This book follows on from Natural Computing in Computational Finance (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.

Author : Miranda & Fackler
Publisher : Unknown
Page : 0 pages
File Size : 41,8 Mb
Release : 2010
Category : Electronic
ISBN : 8120339347

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Applied Computational Economics And Finance by Miranda & Fackler Pdf

Author : Oscar Afonso,Paulo B. Vasconcelos
Publisher : Routledge
Page : 266 pages
File Size : 51,7 Mb
Release : 2015-08-27
Category : Business & Economics
ISBN : 9781317508663

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Computational Economics by Oscar Afonso,Paulo B. Vasconcelos Pdf

Computational Economics: A concise introduction is a comprehensive textbook designed to help students move from the traditional and comparative static analysis of economic models, to a modern and dynamic computational study. The ability to equate an economic problem, to formulate it into a mathematical model and to solve it computationally is becoming a crucial and distinctive competence for most economists. This vital textbook is organized around static and dynamic models, covering both macro and microeconomic topics, exploring the numerical techniques required to solve those models. A key aim of the book is to enable students to develop the ability to modify the models themselves so that, using the MATLAB/Octave codes provided on the book and on the website, students can demonstrate a complete understanding of computational methods. This textbook is innovative, easy to read and highly focused, providing students of economics with the skills needed to understand the essentials of using numerical methods to solve economic problems. It also provides more technical readers with an easy way to cope with economics through modelling and simulation. Later in the book, more elaborate economic models and advanced numerical methods are introduced which will prove valuable to those in more advanced study. This book is ideal for all students of economics, mathematics, computer science and engineering taking classes on Computational or Numerical Economics.

Author : Nikolaos Thomaidis
Publisher : Nova Science Publishers
Page : 0 pages
File Size : 52,8 Mb
Release : 2013
Category : Finance
ISBN : 1626181233

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Recent Advances in Computational Finance by Nikolaos Thomaidis Pdf

From continuous optimization to natural and evolutionary computing to time-series econometrics, this edition covers contemporary developments in computational finance. The book examines how interdisciplinary contributions from applied mathematics, statistics, and engineering can be adapted to a problem-solving approach in finance with an emphasis on vexing, but identifiable, real-world problems.