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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.
This volume investigates the intersection of computational methodologies and economic theory to define the current state and future trajectory of digital financial systems. Editors Mak Kaboudan, Shu-Heng Chen, and Ye-Rong Du compile research from diverse contributors to bridge traditional economic modeling with modern algorithmic advancements. The text argues that the integration of nature-inspired intelligence and agent-based systems is fundamentally altering the landscape of market dynamics and decision-making processes.
What You Will Find
Experts recognize this handbook as a comprehensive reference for the evolution of computational economics. Readers frequently note the technical density of the prose, which serves as a foundational resource for researchers and practitioners in the field.
Page Count:
786
Publication Date:
2018-02-09
Publisher:
Oxford University Press
ISBN-10:
0199844372
ISBN-13:
9780199844371
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