Agent-Based Models of Financial Markets

Nicholas S. P. Tay ()
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Nicholas S. P. Tay: University of San Francisco

Chapter 41 in Encyclopedia of Finance, 2022, pp 1027-1034 from Springer

Abstract: Abstract This chapter introduces the agent-based modeling methodology and points out the strengths of this method over traditional analytical methods of neoclassical economics. In addition, the various design issues that will be encountered in the design of an agent-based financial market are discussed.

Keywords: Agent-based models; Artificial intelligence; Bounded rationality; Classifiers; Co-evolution; Complex adaptive system; Computer simulation; Genetic Algorithms; Genetic programming; Heterogeneous agents; Learning; Neural networks (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-91231-4_41

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DOI: 10.1007/978-3-030-91231-4_41

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