Network Theory and Agent-Based Modeling in Economics and Finance
Network Theory and Agent-Based Modeling in Economics and Finance

Author: Anindya S. Chakrabarti

Publisher: Springer Nature

Published: 2019-10-23

Total Pages: 458

ISBN-13: 9811383197

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This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Network Theory and Agent-based Modeling in Economics and Finance
Network Theory and Agent-based Modeling in Economics and Finance

Author: Anindya S. Chakrabarti

Publisher:

Published: 2019

Total Pages: 458

ISBN-13: 9789811383205

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This book presents the latest findings on network theory and agent-based modeling of economic and financial phenomena. In this context, the economy is depicted as a complex system consisting of heterogeneous agents that interact through evolving networks; the aggregate behavior of the economy arises out of billions of small-scale interactions that take place via countless economic agents. The book focuses on analytical modeling, and on the econometric and statistical analysis of the properties emerging from microscopic interactions. In particular, it highlights the latest empirical and theoretical advances, helping readers understand economic and financial networks, as well as new work on modeling behavior using rich, agent-based frameworks. Innovatively, the book combines observational and theoretical insights in the form of networks and agent-based models, both of which have proved to be extremely valuable in understanding non-linear and evolving complex systems. Given its scope, the book will capture the interest of graduate students and researchers from various disciplines (e.g. economics, computer science, physics, and applied mathematics) whose work involves the domain of complexity theory.

Agent-Based Computational Economics Using NetLogo
Agent-Based Computational Economics Using NetLogo

Author: Romulus Catalin Damaceanu

Publisher:

Published: 2013-02

Total Pages: 160

ISBN-13: 9781608056385

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"Agent-based Computational Economics using NetLogo" explores how researchers can create, use and implement multi-agent computational models in Economics by using NetLogo software platform. Problems of economic science can be solved using multi-agent modelling (MAM). This technique uses a computer model to simulate the actions and interactions of autonomous entities in a network, in order to analyze the effects on the entire economic system. MAM combines elements of game theory, complex systems, emergence and evolutionary programming. The Monte Carlo method is also used in this e-book to introduce random elements. The 11 models presented in this text simulate the simultaneous operations of several agents in an attempt to recreate and predict complex economic phenomena. This book explains the topic in a systematic manner, starting with an introduction for readers followed subsequently by methodology and implementation using NetLogo. The volume ends with conclusions based on the results of the experiments presented. The book is intended as a concise and vital resource for economists, applied mathematicians, social sciences scientists, systems analysts, operations researchers and numerical analysts.

Network Models in Economics and Finance
Network Models in Economics and Finance

Author: Valery A. Kalyagin

Publisher: Springer

Published: 2014-09-23

Total Pages: 305

ISBN-13: 3319096834

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Using network models to investigate the interconnectivity in modern economic systems allows researchers to better understand and explain some economic phenomena. This volume presents contributions by known experts and active researchers in economic and financial network modeling. Readers are provided with an understanding of the latest advances in network analysis as applied to economics, finance, corporate governance, and investments. Moreover, recent advances in market network analysis that focus on influential techniques for market graph analysis are also examined. Young researchers will find this volume particularly useful in facilitating their introduction to this new and fascinating field. Professionals in economics, financial management, various technologies, and network analysis, will find the network models presented in this book beneficial in analyzing the interconnectivity in modern economic systems.

Agent-Based Modeling and Network Dynamics
Agent-Based Modeling and Network Dynamics

Author: Akira Namatame

Publisher: Oxford University Press

Published: 2016-01-28

Total Pages: 341

ISBN-13: 0191017981

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While the significance of networks in various human behavior and activities has a history as long as human's existence, network awareness is a recent scientific phenomenon. The neologism network science is just one or two decades old. Nevertheless, with this limited time, network thinking has substantially reshaped the recent development in economics, and almost all solutions to real-world problems involve the network element. This book integrates agent-based modeling and network science. It is divided into three parts, namely, foundations, primary dynamics on and of social networks, and applications. The authors begin with the network origin of agent-based models, known as cellular automata, and introduce a number of classic models, such as Schelling's segregation model and Axelrod's spatial game. The essence of the foundation part is the network-based agent-based models in which agents follow network-based decision rules. Under the influence of the substantial progress in network science in late 1990s, these models have been extended from using lattices into using small-world networks, scale-free networks, etc. The text also shows that the modern network science mainly driven by game-theorists and sociophysicists has inspired agent-based social scientists to develop alternative formation algorithms, known as agent-based social networks. It reviews a number of pioneering and representative models in this family. Upon the given foundation, the second part reviews three primary forms of network dynamics, such as diffusions, cascades, and influences. These primary dynamics are further extended and enriched by practical networks in goods-and-service markets, labor markets, and international trade. At the end, the book considers two challenging issues using agent-based models of networks: network risks and economic growth.

Agent-Based Methods in Economics and Finance
Agent-Based Methods in Economics and Finance

Author: Francesco Luna

Publisher: Springer Science & Business Media

Published: 2002

Total Pages: 348

ISBN-13: 9780792374190

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This volume on financial and economic simulations in Swarmmarks the continued progress by a group of researchers to incorporateagent-based computer models as an important tool within theirdiscipline.Swarm promotes agent-based computer models as a tool for the study ofcomplex systems. A common "language" is leading to the growth ofuser communities in specific areas of application. Furthermore, byproviding an organizing framework to guide the development of moreproblem-specific structures, and by dealing with a whole range ofissues that affect their fundamental correctness and their ability tobe developed and reused, Swarm has sought to make the use ofagent-based models a legitimate tool of scientific investigation thatalso meets the practical needs of investigators within acommunity.Swarm's principal foundation is an object-oriented representation ofactive agents interacting among themselves and with their environment.To this base layer it adds its own structures to drive, record andportrait the events that occur across this world. The specificcontents of any world, however, are up to the experimenter to provide, either by building them from scratch or by tapping previouscontributions.This book is notable in assembling a rich array of such contributions, which are significant in their own right, but which can also be minedto extract the reusable elements in their respective areas of financeand economics. It also presents three interesting software additionswith tutorials in the form of simple financial and economicapplications. A Swarm meta-language closer to a natural language', the use of internet-augmented Swarm for experimental economics, and aSwarm visual builder will meet thechallenges launched by otheragent-based modelling competitors.The Swarm community at large can benefit greatly from the lead thatthe growing field of computational economics is taking to address itsown needs, as represented by th

Agent-based Models of the Economy
Agent-based Models of the Economy

Author: R. Boero

Publisher: Springer

Published: 2015-06-16

Total Pages: 312

ISBN-13: 1137339810

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Agent-based models are tools that provide researchers in economic fields with unprecedented analytical capabilities. This book describes the power of agent-based models along their methodology, and it provides several examples of applications spanning from public policy evaluation to financial markets.

Economics with Heterogeneous Interacting Agents
Economics with Heterogeneous Interacting Agents

Author: Alessandro Caiani

Publisher: Springer

Published: 2016-09-21

Total Pages: 219

ISBN-13: 3319440586

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This book offers a practical guide to Agent Based economic modeling, adopting a “learning by doing” approach to help the reader master the fundamental tools needed to create and analyze Agent Based models. After providing them with a basic “toolkit” for Agent Based modeling, it present and discusses didactic models of real financial and economic systems in detail. While stressing the main features and advantages of the bottom-up perspective inherent to this approach, the book also highlights the logic and practical steps that characterize the model building procedure. A detailed description of the underlying codes, developed using R and C, is also provided. In addition, each didactic model is accompanied by exercises and applications designed to promote active learning on the part of the reader. Following the same approach, the book also presents several complementary tools required for the analysis and validation of the models, such as sensitivity experiments, calibration exercises, economic network and statistical distributions analysis. By the end of the book, the reader will have gained a deeper understanding of the Agent Based methodology and be prepared to use the fundamental techniques required to start developing their own economic models. Accordingly, “Economics with Heterogeneous Interacting Agents” will be of particular interest to graduate and postgraduate students, as well as to academic institutions and lecturers interested in including an overview of the AB approach to economic modeling in their courses.

The Oxford Handbook of Computational Economics and Finance
The Oxford Handbook of Computational Economics and Finance

Author: Shu-Heng Chen

Publisher: Oxford University Press

Published: 2018-01-12

Total Pages: 785

ISBN-13: 0190877502

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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.

Agent-Based Models in Economics
Agent-Based Models in Economics

Author: Domenico Delli Gatti

Publisher: Cambridge University Press

Published: 2018-03-22

Total Pages: 261

ISBN-13: 1108243983

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In contrast to mainstream economics, complexity theory conceives the economy as a complex system of heterogeneous interacting agents characterised by limited information and bounded rationality. Agent Based Models (ABMs) are the analytical and computational tools developed by the proponents of this emerging methodology. Aimed at students and scholars of contemporary economics, this book includes a comprehensive toolkit for agent-based computational economics, now quickly becoming the new way to study evolving economic systems. Leading scholars in the field explain how ABMs can be applied fruitfully to many real-world economic examples and represent a great advancement over mainstream approaches. The essays discuss the methodological bases of agent-based approaches and demonstrate step-by-step how to build, simulate and analyse ABMs and how to validate their outputs empirically using the data. They also present a wide set of applications of these models to key economic topics, including the business cycle, labour markets, and economic growth.