Computational methods in economic dynamics

書誌事項

Computational methods in economic dynamics

by editors Herbert Dawid and Willi Semmler

(Dynamic modeling and econometrics in economics and finance / series editors, Stefan Mittnik, Willi Semmler, 13)

Springer, c2011

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注記

Selected papers from CEF 2008, the 14th international conference on Computing in Economics and Finance

Includes bibliographical references

内容説明・目次

内容説明

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.

目次

Editorial.- Market Dynamics With Heterogeneous Agents: Allocative Efficiency and Traders' Protection Under Zero Intelligence Behavior.- Using Software Agents to Supplement Tests Conducted by Human Subjects.- Diversification Effect of Heterogeneous Beliefs.- Can Investors Benefit from Using Trading Rules Evolved by Genetic Programming? A Test of the Adaptive Efficiency of U.S. Stock Markets With Margin Trading Allowed.- Bankruptcy Prediction: A Comparison of Some Statistical and Machine Learning Techniques.- Dynamic Policy Perspectives: Testing Institutional Arrangements via Agent-Based Modeling: A U.S. Electricity Market Application.- Energy Shocks and Macroeconomic Stabilization Policies in an Agent-based Macro Model.- The Impact of Migration on Origin Countries: A Numerical Analysis.- An Algorithmic Equilibrium Solution for n-Person Dynamic Stackelberg Difference Games With Open-Loop Information Pattern.

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