Computational and Decision Methods in Economics and Business

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Publisher : Springer Nature
ISBN 13 : 3030937879
Total Pages : 314 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Computational and Decision Methods in Economics and Business by : Anna Maria Gil-Lafuente

Download or read book Computational and Decision Methods in Economics and Business written by Anna Maria Gil-Lafuente and published by Springer Nature. This book was released on 2022-01-27 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.

Computational and Decision Methods in Economics and Business

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Publisher :
ISBN 13 : 9783030937881
Total Pages : 0 pages
Book Rating : 4.9/5 (378 download)

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Book Synopsis Computational and Decision Methods in Economics and Business by : Anna Maria Gil-Lafuente

Download or read book Computational and Decision Methods in Economics and Business written by Anna Maria Gil-Lafuente and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents different topics related to innovation, complexity, uncertainty, modeling and simulation, fuzzy logic, decision-making, aggregation operators, business and economic applications, among others. The chapters are the results of research presented at the International Workshop "Innovation, Complexity and Uncertainty in Economics and Business", held in Barcelona, in November 2019, by The Ibero-American Network for Competitiveness, Innovation and Development (REDCID in Spanish) and the Royal Academy of Economic and Financial Sciences (RACEF in Spanish). These papers are useful for junior and senior researchers in the area of economics and business.

Computational Methods in Decision-Making, Economics and Finance

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Publisher : Springer Science & Business Media
ISBN 13 : 1475736134
Total Pages : 626 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Computational Methods in Decision-Making, Economics and Finance by : Erricos John Kontoghiorghes

Download or read book Computational Methods in Decision-Making, Economics and Finance written by Erricos John Kontoghiorghes and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computing has become essential for the modeling, analysis, and optimization of systems. This book is devoted to algorithms, computational analysis, and decision models. The chapters are organized in two parts: optimization models of decisions and models of pricing and equilibria.

Applied Computational Economics and Finance

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Publisher : MIT Press
ISBN 13 : 0262291754
Total Pages : 529 pages
Book Rating : 4.2/5 (622 download)

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Book Synopsis Applied Computational Economics and Finance by : Mario J. Miranda

Download or read book Applied Computational Economics and Finance written by Mario J. Miranda and published by MIT Press. This book was released on 2004-08-20 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Methods in Economic Dynamics

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Publisher : Springer Science & Business Media
ISBN 13 : 3642169430
Total Pages : 217 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Methods in Economic Dynamics by : Herbert Dawid

Download or read book Computational Methods in Economic Dynamics written by Herbert Dawid and published by Springer Science & Business Media. This book was released on 2011-03-23 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is centered around the issue of market design and resulting market dynamics. The economic crisis of 2007-2009 has once again highlighted the importance of a proper design of market protocols and institutional details for economic dynamics and macroeconomics. Papers in this volume capture institutional details of particular markets, behavioral details of agents' decision making as well as spillovers between markets and effects to the macroeconomy. Computational methods are used to replicate and understand market dynamics emerging from interaction of heterogeneous agents, and to develop models that have predictive power for complex market dynamics. Finally treatments of overlapping generations models and differential games with heterogeneous actors are provided.

Economics and Computation

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Publisher : Springer
ISBN 13 : 3662479044
Total Pages : 612 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Economics and Computation by : Jörg Rothe

Download or read book Economics and Computation written by Jörg Rothe and published by Springer. This book was released on 2015-08-18 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.

Neuroeconomic and Behavioral Aspects of Decision Making

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Publisher : Springer
ISBN 13 : 3319629387
Total Pages : 419 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Neuroeconomic and Behavioral Aspects of Decision Making by : Kesra Nermend

Download or read book Neuroeconomic and Behavioral Aspects of Decision Making written by Kesra Nermend and published by Springer. This book was released on 2017-10-06 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume presents the latest scientific research and trends in experimental economics, with particular focus on neuroeconomics. Derived from the 2016 Computational Methods in Experimental Economics (CMEE) conference held in Szczecin, Poland, this book features research and analysis of novel computational methods in neuroeconomics. Neuroeconomics is an interdisciplinary field that combines neuroscience, psychology and economics to build a comprehensive theory of decision making. At its core, neuroeconomics analyzes the decision-making process not only in terms of external conditions or psychological aspects, but also from the neuronal point of view by examining the cerebral conditions of decision making. The application of IT enhances the possibilities of conducting such analyses. Such studies are now performed by software that provides interaction among all the participants and possibilities to register their reactions more accurately. This book examines some of these applications and methods. Featuring contributions on both theory and application, this book is of interest to researchers, students, academics and professionals interested in experimental economics, neuroeconomics and behavioral economics.

Computational Approaches to Economic Problems

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Publisher : Springer Science & Business Media
ISBN 13 : 1475726449
Total Pages : 365 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Computational Approaches to Economic Problems by : Hans M. Amman

Download or read book Computational Approaches to Economic Problems written by Hans M. Amman and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a selection of papers presented at the first conference of the Society for Computational Economics held at ICC Institute, Austin, Texas, May 21-24, 1995. Twenty-two papers are included in this volume, devoted to applications of computational methods for the empirical analysis of economic and financial systems; the development of computing methodology, including software, related to economics and finance; and the overall impact of developments in computing. The various contributions represented in the volume indicate the growing interest in the topic due to the increased availability of computational concepts and tools and the necessity of analyzing complex decision problems. The papers in this volume are divided into four sections: Computational methods in econometrics, Computational methods in finance, Computational methods for a social environment and New computational methods.£/LIST£

Experimental and Quantitative Methods in Contemporary Economics

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Publisher : Springer Nature
ISBN 13 : 3030302512
Total Pages : 379 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Experimental and Quantitative Methods in Contemporary Economics by : Kesra Nermend

Download or read book Experimental and Quantitative Methods in Contemporary Economics written by Kesra Nermend and published by Springer Nature. This book was released on 2019-10-12 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.

Decision Economics: Complexity of Decisions and Decisions for Complexity

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Publisher : Springer Nature
ISBN 13 : 3030382273
Total Pages : 334 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Decision Economics: Complexity of Decisions and Decisions for Complexity by : Edgardo Bucciarelli

Download or read book Decision Economics: Complexity of Decisions and Decisions for Complexity written by Edgardo Bucciarelli and published by Springer Nature. This book was released on 2020-02-07 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the International Conference on Decision Economics (DECON 2019). Highlighting the fact that important decision-making takes place in a range of critical subject areas and research fields, including economics, finance, information systems, psychology, small and international business, management, operations, and production, the book focuses on analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. DECON 2019 was organised by the University of Chieti-Pescara (Italy), the National Chengchi University of Taipei (Taiwan), and the University of Salamanca (Spain), and was held at the Escuela politécnica Superior de Ávila, Spain, from 26th to 28th June, 2019. Sponsored by IEEE Systems Man and Cybernetics Society, Spain Section Chapter, and IEEE Spain Section (Technical Co-Sponsor), IBM, Indra, Viewnext, Global Exchange, AEPIA-and-APPIA, with the funding supporting of the Junta de Castilla y León, Spain (ID: SA267P18-Project co-financed with FEDER funds)

Econometric Methods with Applications in Business and Economics

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Publisher : OUP Oxford
ISBN 13 : 0191608408
Total Pages : 816 pages
Book Rating : 4.1/5 (916 download)

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Book Synopsis Econometric Methods with Applications in Business and Economics by : Christiaan Heij

Download or read book Econometric Methods with Applications in Business and Economics written by Christiaan Heij and published by OUP Oxford. This book was released on 2004-03-25 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making. Combining a solid exposition of econometric methods with an application-oriented approach, this rigorous textbook provides students with a working understanding and hands-on experience of current econometrics. Taking a 'learning by doing' approach, it covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement. Its last part is devoted to two major application areas: the econometrics of choice data (logit and probit, multinomial and ordered choice, truncated and censored data, and duration data) and the econometrics of time series data (univariate time series, trends, volatility, vector autoregressions, and a brief discussion of SUR models, panel data, and simultaneous equations). · Real-world text examples and practical exercise questions stimulate active learning and show how econometrics can solve practical questions in modern business and economic management. · Focuses on the core of econometrics, regression, and covers two major advanced topics, choice data with applications in marketing and micro-economics, and time series data with applications in finance and macro-economics. · Learning-support features include concise, manageable sections of text, frequent cross-references to related and background material, summaries, computational schemes, keyword lists, suggested further reading, exercise sets, and online data sets and solutions. · Derivations and theory exercises are clearly marked for students in advanced courses. This textbook is perfect for advanced undergraduate students, new graduate students, and applied researchers in econometrics, business, and economics, and for researchers in other fields that draw on modern applied econometrics.

Decision Technologies for Computational Finance

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Publisher : Springer Science & Business Media
ISBN 13 : 1461556252
Total Pages : 472 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Decision Technologies for Computational Finance by : Apostolos-Paul N. Refenes

Download or read book Decision Technologies for Computational Finance written by Apostolos-Paul N. Refenes and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Methods for Risk Management in Economics and Finance

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Publisher : MDPI
ISBN 13 : 3039284983
Total Pages : 234 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Computational Methods for Risk Management in Economics and Finance by : Marina Resta

Download or read book Computational Methods for Risk Management in Economics and Finance written by Marina Resta and published by MDPI. This book was released on 2020-04-02 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational techniques in finance and economics. Examined topics span on issues at the center of the literature debate, with an eye not only on technical and theoretical aspects but also very practical cases.

Computational Economic Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9401587434
Total Pages : 284 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Computational Economic Systems by : Manfred Gilli

Download or read book Computational Economic Systems written by Manfred Gilli and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The approach to many problems in economic analysis has changed drastically with the development and dissemination of new and more efficient computational techniques. Computational Economic Systems: Models, Methods & Econometrics presents a selection of papers illustrating the use of new computational methods and computing techniques to solve economic problems. Part I of the volume consists of papers which focus on modelling economic systems, presenting computational methods to investigate the evolution of behavior of economic agents, techniques to solve complex inventory models on a parallel computer and an original approach for the construction and solution of multicriteria models involving logical conditions. Contributions to Part II concern new computational approaches to economic problems. We find an application of wavelets to outlier detection. New estimation algorithms are presented, one concerning seemingly related regression models, a second one on nonlinear rational expectation models and a third one dealing with switching GARCH estimation. Three contributions contain original approaches for the solution of nonlinear rational expectation models.

Computational Economics: A Perspective from Computational Intelligence

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Publisher : IGI Global
ISBN 13 : 159140651X
Total Pages : 318 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Computational Economics: A Perspective from Computational Intelligence by : Chen, Shu-Heng

Download or read book Computational Economics: A Perspective from Computational Intelligence written by Chen, Shu-Heng and published by IGI Global. This book was released on 2005-11-30 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book identifies the economic as well as financial problems that may be solved efficiently with computational methods and explains why those problems should best be solved with computational methods"--Provided by publisher.

Selected Issues in Experimental Economics

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Publisher : Springer
ISBN 13 : 3319284193
Total Pages : 385 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Selected Issues in Experimental Economics by : Kesra Nermend

Download or read book Selected Issues in Experimental Economics written by Kesra Nermend and published by Springer. This book was released on 2016-03-24 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this volume is to provide deep insights and the latest scientific developments and trends in experimental economics. Derived from the 2015 Computational Methods in Experimental Economics (CMEE) conference, this book features papers containing research and analysis of economic experiments concerning research in such areas as management science, decision theory, game theory, marketing and political science. The goal is to present possibilities for using various computer methods in the scope of experimental economics to further provide researchers with a wide variety of tools. The field of experimental economics is rapidly evolving. Modern use of experimental economics requires the integration of knowledge in the domains of economic sciences, computer science, psychology, and neuroscience. Recent research includes experiments conducted both in the laboratory and in the field, and the results are used for testing and a better understanding of economic theories. Researchers working in this field use mainly a set of well-established methods and computer tools that support the experiments. Methods such as artificial intelligence, computer simulation and computer graphics, however, are not represented enough in experimental economics studies and most experimenters do not consider their usage. The goal of the conference and the enclosed papers is to allow for an exchange of experiences and to promote joint initiatives to insight change in this trend.

Computational Intelligence in Economics and Finance

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Publisher : Springer Science & Business Media
ISBN 13 : 354072821X
Total Pages : 232 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence in Economics and Finance by : Paul P. Wang

Download or read book Computational Intelligence in Economics and Finance written by Paul P. Wang and published by Springer Science & Business Media. This book was released on 2007-07-11 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.