Agent based modeling in economics and finance: past, present, and future

Agent-based modeling (ABM) is a novel computational methodology for representing the behavior of individuals in order to study social phenomena. Its use is rapidly growing in many fields. We review ABM in economics and finance and highlight how it can be used to relax conventional assumptions in sta...

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Main Authors: Axtell, R, Farmer, J
Format: Journal article
Language:English
Published: American Economic Association 2022
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author Axtell, R
Farmer, J
author_facet Axtell, R
Farmer, J
author_sort Axtell, R
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description Agent-based modeling (ABM) is a novel computational methodology for representing the behavior of individuals in order to study social phenomena. Its use is rapidly growing in many fields. We review ABM in economics and finance and highlight how it can be used to relax conventional assumptions in standard economic models. In economics, ABM has enriched our understanding of markets, industrial organization, labor, macro, development, environmental and resource economics, as well as policy. In financial markets, substantial accomplishments include understanding clustered volatility, market impact, systemic risk and housing markets. We present a vision for how ABMs might be used in the future to build more realistic models of the economy and review some of hurdles that must be overcome to achieve this.
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spelling oxford-uuid:8af3b96e-a088-4e29-ba1e-0760222277b72022-10-27T10:08:40ZAgent based modeling in economics and finance: past, present, and futureJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8af3b96e-a088-4e29-ba1e-0760222277b7EnglishSymplectic ElementsAmerican Economic Association2022Axtell, RFarmer, JAgent-based modeling (ABM) is a novel computational methodology for representing the behavior of individuals in order to study social phenomena. Its use is rapidly growing in many fields. We review ABM in economics and finance and highlight how it can be used to relax conventional assumptions in standard economic models. In economics, ABM has enriched our understanding of markets, industrial organization, labor, macro, development, environmental and resource economics, as well as policy. In financial markets, substantial accomplishments include understanding clustered volatility, market impact, systemic risk and housing markets. We present a vision for how ABMs might be used in the future to build more realistic models of the economy and review some of hurdles that must be overcome to achieve this.
spellingShingle Axtell, R
Farmer, J
Agent based modeling in economics and finance: past, present, and future
title Agent based modeling in economics and finance: past, present, and future
title_full Agent based modeling in economics and finance: past, present, and future
title_fullStr Agent based modeling in economics and finance: past, present, and future
title_full_unstemmed Agent based modeling in economics and finance: past, present, and future
title_short Agent based modeling in economics and finance: past, present, and future
title_sort agent based modeling in economics and finance past present and future
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AT farmerj agentbasedmodelingineconomicsandfinancepastpresentandfuture