Coping with the Complexity of Economics [electronic resource] /
Faggini, Marisa.editor.
Lux, Thomas.editor.
The purpose of the science of complexity is to provide, if not a unified approach, at least useful tools to tackling complex problems in various scientific domains. Generally, complexity is considered a fundamental challenge to the reductionist approach in science as a whole and to its ideas of certainty and randomness. The overall behaviour of a complex system is different from and more than the sum of its parts. The behaviour of non-linear complex systems depends on the interaction (often with retroactive effects) among its constituent parts and not so much (or not only) on the characteristics of these parts themselves; the sum of the behaviour of single parts does not necessarily provide us with an explanation of the aggregate behaviour of a system. All this is true for economic systems. These are based on the activities of single economic agents. Each individual can obtain only partial knowledge that is focussed around its "world" (local information) and react to external shocks in different ways (local rationality). The aim of this book is to provide an overview to recent developments in theory and empirical research that view economic systems as complex phenomena whose aggregate dynamics can often not be inferred from its microscopic (microeconomic) building blocks. The collection of papers represented in this volume is dedicated to the memory of Massimo Salzano, who has been a fervent and eloquent advocate of the complexity approach. The contributions have been presented at a conference held to celebrate Massimo’s 60th birthday (Ecople -Economics: From Tradition of Complexity, Capri, 2-4 June, 2006), one year before he unexpectedly passed away in 2007.
Description based upon print version of record.
Includes bibliographical references.
Evolution of Economic Systems -- Evolution of Trust in Economic Systems -- Keynes, Hayek and Complexity -- A look at the relationship between industrial dynamics and aggregate fluctuations -- Quantum Physics and Financial Markets -- Quantum-like Viewpoint on the Complexity and Randomness of the Financial Market -- Classical and Quantum-Like Randomness and the Financial Market -- New Empirical Approaches to Complex Economic Dynamics -- Examination of the Cost-of-Carry Formula for Futures Contracts on WIG20. Wavelet and Nonlinear Cointegration Analysis -- A Complex Approach to Estimate Shadow Economy: The Structural Equation Modelling -- Will house prices rise in 2007? A comparative assessment of house prices in London and Dublin -- Models of Risk Management and Decision Support -- Risk Measuremant and Fair Valuation Assessment in the Life Insurance Field -- Analysis of Qualitative and Quantitative Rankings in Multicriteria Decision Making.
The purpose of the science of complexity is to provide, if not a unified approach, at least useful tools to tackling complex problems in various scientific domains. Generally, complexity is considered a fundamental challenge to the reductionist approach in science as a whole and to its ideas of certainty and randomness. The overall behaviour of a complex system is different from and more than the sum of its parts. The behaviour of non-linear complex systems depends on the interaction (often with retroactive effects) among its constituent parts and not so much (or not only) on the characteristics of these parts themselves; the sum of the behaviour of single parts does not necessarily provide us with an explanation of the aggregate behaviour of a system. All this is true for economic systems. These are based on the activities of single economic agents. Each individual can obtain only partial knowledge that is focussed around its "world" (local information) and react to external shocks in different ways (local rationality). The aim of this book is to provide an overview to recent developments in theory and empirical research that view economic systems as complex phenomena whose aggregate dynamics can often not be inferred from its microscopic (microeconomic) building blocks. The collection of papers represented in this volume is dedicated to the memory of Massimo Salzano, who has been a fervent and eloquent advocate of the complexity approach. The contributions have been presented at a conference held to celebrate Massimo’s 60th birthday (Ecople -Economics: From Tradition of Complexity, Capri, 2-4 June, 2006), one year before he unexpectedly passed away in 2007.
Statistical physics.
Dynamical systems.
Economics.
Management science.
Behavioral sciences.
Game theory.
Complex Systems.
Economics, general.
Behavioral Sciences.
Game Theory, Economics, Social and Behav. Sciences.
Statistical Physics and Dynamical Systems.
New Economic Windows