Heterogeneous Agents and Non-Normal Fundamentals

The Period of Financial Distress in Speculative Markets: Interacting Heterogeneous Agents and Financial Constraints

PsycEXTRA Dataset ◽

10.1037/e401892008-001 ◽

2006 ◽

Cited By ~ 5

Author(s):

Mauro Gallegati ◽

Antonio Palestrini ◽

Barkley Rosser

Keyword(s):

Financial Distress ◽

Financial Constraints ◽

Heterogeneous Agents

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Distributed Fault Detection for A Class of Heterogeneous Agents with Internal Model Controllers

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189303 ◽

2020 ◽

Author(s):

Wenhao Jia ◽

Jinzhi Wang

Keyword(s):

Fault Detection ◽

Internal Model ◽

Heterogeneous Agents ◽

Distributed Fault Detection

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Adaptive NN resilient consensus control of nonlinear heterogeneous agents under switching network with DoS attacks

IEEE Access ◽

10.1109/access.2021.3107288 ◽

2021 ◽

pp. 1-1

Author(s):

Xiaona Yang ◽

Jianting Lyu ◽

Chunyu Zhang ◽

Xin Wang

Keyword(s):

Heterogeneous Agents ◽

Switching Network ◽

Dos Attacks ◽

Consensus Control

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Quantitative Easing with Heterogeneous Agents

Journal of Monetary Economics ◽

10.1016/j.jmoneco.2021.07.007 ◽

2021 ◽

Author(s):

Wei Cui ◽

Vincent Sterk

Keyword(s):

Heterogeneous Agents ◽

Quantitative Easing

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MANAGING INEQUALITY OVER BUSINESS CYCLES: OPTIMAL POLICIES WITH HETEROGENEOUS AGENTS AND AGGREGATE SHOCKS

International Economic Review ◽

10.1111/iere.12537 ◽

2021 ◽

Author(s):

François Le Grand ◽

Xavier Ragot

Keyword(s):

Business Cycles ◽

Heterogeneous Agents ◽

Aggregate Shocks ◽

Optimal Policies

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Global and local reduced models for interacting, heterogeneous agents

Chaos An Interdisciplinary Journal of Nonlinear Science ◽

10.1063/5.0055840 ◽

2021 ◽

Vol 31 (7) ◽

pp. 073139

Author(s):

Thomas N. Thiem ◽

Felix P. Kemeth ◽

Tom Bertalan ◽

Carlo R. Laing ◽

Ioannis G. Kevrekidis

Keyword(s):

Heterogeneous Agents ◽

Reduced Models ◽

Global And Local

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Computational Methods for Dynamic Equilibria with Heterogeneous Agents

Advances in Economics and Econometrics ◽

10.1017/cbo9780511610264.010 ◽

2010 ◽

pp. 243-290 ◽

Cited By ~ 15

Author(s):

Kenneth L. Judd ◽

Felix Kubler ◽

Karl Schmedders

Keyword(s):

Computational Methods ◽

Heterogeneous Agents ◽

Dynamic Equilibria

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Emergent volatility in asset markets with heterogeneous agents

Discrete Dynamics in Nature and Society ◽

10.1155/s1026022601000188 ◽

2001 ◽

Vol 6 (3) ◽

pp. 171-180 ◽

Cited By ~ 8

Author(s):

Honggang Li ◽

J. Barkley Rosser

Keyword(s):

Heterogeneous Agents ◽

Moving Average ◽

Asset Price ◽

Market Price ◽

Switching Behavior ◽

Asset Markets ◽

Technical Trading Rules ◽

Market Participants ◽

Fundamental Value ◽

Discrete Formulation

This paper examines the emergence of complex volatility in dynamic asset markets when there are heterogeneous agents. A discrete formulation is studied with two categories of market participants, fundamentalist traders who buy when the asset price is below the fundamental value and sell when it is above and noise traders who use moving average technical trading rules that can lead them to chase trends. Agents switch from one type of strategy to the other according to relative returns. A variety of outcomes are studied using numerical simulation, including variation of market price responsiveness to changes in excess demand, in switching behavior, and the introduction of noise. Bifurcation analysis of certain parameters is presented.

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