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Computational Methods In Decision Making Economics And Finance


Computational Methods In Decision Making Economics And Finance
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Computational Methods In Decision Making Economics And Finance


Computational Methods In Decision Making Economics And Finance
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Author : Erricos John Kontoghiorghes
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Computational Methods In Decision Making Economics And Finance written by Erricos John Kontoghiorghes and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Business & Economics categories.


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.



Computational Methods In Decision Making Economics And Finance


Computational Methods In Decision Making Economics And Finance
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Author : Erricos John Kontoghiorghes
language : en
Publisher:
Release Date : 2014-01-15

Computational Methods In Decision Making Economics And Finance written by Erricos John Kontoghiorghes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.




Computational And Decision Methods In Economics And Business


Computational And Decision Methods In Economics And Business
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Author : Anna Maria Gil-Lafuente
language : en
Publisher: Springer Nature
Release Date : 2022-01-27

Computational And Decision Methods In Economics And Business written by Anna Maria Gil-Lafuente and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-27 with Technology & Engineering categories.


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.



Neuroeconomic And Behavioral Aspects Of Decision Making


Neuroeconomic And Behavioral Aspects Of Decision Making
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Author : Kesra Nermend
language : en
Publisher: Springer
Release Date : 2017-10-06

Neuroeconomic And Behavioral Aspects Of Decision Making written by Kesra Nermend and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-06 with Business & Economics categories.


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 Methods In Economic Dynamics


Computational Methods In Economic Dynamics
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Author : Herbert Dawid
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-23

Computational Methods In Economic Dynamics written by Herbert Dawid and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-23 with Business & Economics categories.


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.



Applied Computational Economics And Finance


Applied Computational Economics And Finance
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Author : Mario J. Miranda
language : en
Publisher: MIT Press
Release Date : 2004-08-20

Applied Computational Economics And Finance written by Mario J. Miranda and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-20 with Business & Economics categories.


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.



Numerical Methods In Economics


Numerical Methods In Economics
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Author : Kenneth L. Judd
language : en
Publisher: MIT Press
Release Date : 1998-09-28

Numerical Methods In Economics written by Kenneth L. Judd and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-28 with Business & Economics categories.


To harness the full power of computer technology, economists need to use a broad range of mathematical techniques. In this book, Kenneth Judd presents techniques from the numerical analysis and applied mathematics literatures and shows how to use them in economic analyses. The book is divided into five parts. Part I provides a general introduction. Part II presents basics from numerical analysis on R^n, including linear equations, iterative methods, optimization, nonlinear equations, approximation methods, numerical integration and differentiation, and Monte Carlo methods. Part III covers methods for dynamic problems, including finite difference methods, projection methods, and numerical dynamic programming. Part IV covers perturbation and asymptotic solution methods. Finally, Part V covers applications to dynamic equilibrium analysis, including solution methods for perfect foresight models and rational expectation models. A website contains supplementary material including programs and answers to exercises.



Handbook Of Computational And Numerical Methods In Finance


Handbook Of Computational And Numerical Methods In Finance
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Author : Svetlozar T. Rachev
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-28

Handbook Of Computational And Numerical Methods In Finance written by Svetlozar T. Rachev and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-28 with Mathematics categories.


Numerical Methods in Finance have recently emerged as a new discipline at the intersection of probability theory, finance and numerical analysis. They bridge the gap between financial theory and computational practice and provide solutions to problems where analytical methods are often non-applicable. Numerical methods are more and more used in several topics of financial analy sis: computation of complex derivatives; market, credit and operational risk assess ment, asset liability management, optimal portfolio theory, financial econometrics and others. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored. This volume presents current research focusing on various numerical methods in finance. The contributions cover methodological issues. Genetic Algorithms, Neural Net works, Monte-Carlo methods, Finite Difference Methods, Stochastic Portfolio Opti mization as well as the application of other numerical methods in finance and risk management. As editor, I am grateful to the contributors for their fruitful collaboration. I would particularly like to thankStefan Trueck and Carlo Marinelli for the excellent editorial assistance received over the progress of this project. Thomas Plum did a splendid word-processingjob in preparing the manuscript. lowe much to George Anastassiou (ConsultantEditor, Birkhauser) and Ann Kostant Executive Editor, Mathematics and Physics, Birkhauser for their help and encouragement.



Artificial Intelligence Learning And Computation In Economics And Finance


Artificial Intelligence Learning And Computation In Economics And Finance
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Author : Ragupathy Venkatachalam
language : en
Publisher: Springer Nature
Release Date : 2023-02-15

Artificial Intelligence Learning And Computation In Economics And Finance written by Ragupathy Venkatachalam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-15 with Science categories.


This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded. Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools. The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.



Numerical Methods Unraveled Mastering Computational Techniques


Numerical Methods Unraveled Mastering Computational Techniques
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-20

Numerical Methods Unraveled Mastering Computational Techniques written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-20 with Mathematics categories.


In the realm of scientific inquiry and engineering endeavors, numerical methods stand as indispensable tools, empowering researchers, engineers, and scientists to delve into complex problems that defy analytical solutions. "Numerical Methods Unraveled: Mastering Computational Techniques" is a comprehensive guide to the fundamentals and applications of numerical methods, unlocking the power of computation for problem-solving and discovery. Through clear explanations, engaging examples, and hands-on exercises, this book takes readers on a journey from the basic concepts of numerical methods to advanced techniques employed in various scientific disciplines. It covers a wide spectrum of topics, including linear systems, nonlinear equations, interpolation and approximation, differential equations, optimization, and numerical linear algebra. With a strong emphasis on practical implementation, the book provides detailed instructions for using popular software packages such as MATLAB, Python, and C++ to implement numerical methods. This hands-on approach enables readers to apply the learned techniques to their own research and projects, fostering a deeper understanding and appreciation for the power of computational methods. Recognizing the dynamic nature of the field, the book dedicates a chapter to the frontiers of numerical methods, exploring emerging techniques such as machine learning, quantum computing, and high-performance computing. These cutting-edge developments provide a glimpse into the future of numerical methods and their potential to revolutionize diverse fields of science and engineering. "Numerical Methods Unraveled: Mastering Computational Techniques" is an essential resource for students, researchers, engineers, and anyone seeking to master the art of numerical methods and unlock the power of computation in their respective fields. Its comprehensive coverage, engaging narrative, and practical orientation make it an invaluable guide to the ever-expanding world of numerical methods. If you like this book, write a review!