Complexity in Economics: Cutting Edge Research

In this book, leading experts discuss innovative components of complexity theory and chaos theory in economics.
The underlying perspective is that investigations of economic phenomena should view these phenomena not as deterministic, predictable, and mechanistic but rather as process dependent, organic, and always evolving.
The aim is to highlight the exciting potential of this approach in economics and its ability to overcome the limitations of past research and offer important new insights. The book offers a stimulating mix of theory, examples, and policy.
By casting light on a variety of topics in the field, it will provide an ideal platform for researchers wishing to deepen their understanding and identify areas for further investigation.

Contenu
Introduction.- Applications of Methods and Algorithms of Nonlinear Dynamics in Economics and Finance. Abdol S. Soofi and Andreas Galka.- Kaldorian assumptions and endogenous fluctuations in the dynamic fixed-price IS-LM model. Giovanni Bella, Paolo Mattana, Beatrice Venturi.- Determining the relationship between Co-Creation and Innovation by Neural Network. Giacomo di Tollo, Stoyan Tanev, Kassis Mohamed Slim and Davide De March.- On the fractal characterization of a system for tradings on Eurozone stocks. Marina Resta.- Managing uncertainty in complex projects. Giancarlo Nota and Rossella Aiello.- On the Concept of Endogenous Volatility. Orlando Gomes.- Chaotic Order The Economic Relativity. Ronald Dai.- The Strange Attractor of the Firm. Safieddine Bouali.- Interaction-Based approach to Economics and Finance. Mitja Steinbacher.- Why should Economics give Chaos Theory another chance? Victor A. Becker.- Disequilibrium Trade and the Dynamics of Stock Markets. Tönu Puu.