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Quantifying the concerns of Dimon and Buffett with data and computation

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Publication:2181537
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DOI10.1016/j.jedc.2020.103864OpenAlexW3007974617MaRDI QIDQ2181537

Matthew Oldham

Publication date: 19 May 2020

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jedc.2020.103864


zbMATH Keywords

efficient marketsagent-based modelingagency theorycomplex adaptive systemsartificial stock markets


Mathematics Subject Classification ID

Game theory, economics, finance, and other social and behavioral sciences (91-XX)


Related Items (1)

Governance structure, technical change, and industry competition


Uses Software

  • NetLogo



Cites Work

  • Unnamed Item
  • Financial power laws: empirical evidence, models, and mechanisms
  • Tipping points in macroeconomic agent-based models
  • To bail-out or to bail-in? Answers from an agent-based model
  • A method for agent-based models validation
  • Stabilizing an unstable complex economy on the limitations of simple rules
  • A model for scaling in firms' size and growth rate distribution
  • Agent-based computational finance: Suggested readings and early research
  • Firm growth and Laplace distribution: the importance of large jumps




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