Computational Model Library

An agent-based artificial stock with a dynamic investor network (1.0.0)

The model is an agent-based artificial stock market where investors connect in a dynamic network. The network is dynamic in the sense that the investors, at specified intervals, decide whether to keep their current adviser (those investors they receive trading advise from). The investors also gain information from a private source and share public information about the risky asset. Investors have different tendencies to follow the different information sources, consider differing amounts of history, and have different thresholds for investing.

Release Notes

The ODD explains how the model operates.

Associated Publications

An agent-based artificial stock with a dynamic investor network 1.0.0

Submitted by Matthew Oldham Published Jun 25, 2019 Last modified Jun 25, 2019
stock markets agent-based model (abm) bubble NetLogo dynamic network

The model is an agent-based artificial stock market where investors connect in a dynamic network. The network is dynamic in the sense that the investors, at specified intervals, decide whether to keep their current adviser (those investors they receive trading advise from). The investors also gain information from a private source and share public information about the risky asset. Investors have different tendencies to follow the different information sources, consider differing amounts of history, and have different thresholds for investing.

Release Notes

The ODD explains how the model operates.

Cite this Model

Matthew Oldham (2019, June 25). “An agent-based artificial stock with a dynamic investor network” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/5ffa4bdf-ad46-4b1c-8cf0-28a756db9d81/releases/1.0.0/

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Contributors
Matthew Oldham
DOI
No assigned DOI
Model Version
1.0.0
License
MIT
Programming Language
NetLogo
Software Framework
n/a
Operating System
Mac OS
Publish Date
Tuesday, June 25, 2019
Last Updated
Tuesday, June 25, 2019
Downloads 201
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.0.0 Matthew Oldham Tue Jun 25 09:06:26 2019 Tue Jun 25 09:06:26 2019 Published

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