Exploring the Impact of Competing Narratives on Financial Markets II: An Opinionated Trader Agent-Based Model with Dynamic Feedback

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

Abstract

Employing an agent-based trading model integrated with opinion dynamics, I conduct a systematic exploration of the factors potentially contributing to financial market frenzies. Applying my previously established testbed described in detail in a companion paper (part I), I examine the influence of two competing narratives on three hypotheses: self-reinforcement; herding; and an additive response to inputs. Utilizing a real-world dataset, I investigate these dynamics. The findings reveal that although all three hypotheses affect price movements, herding behavior has the most substantial impact. The source code for these simulations is available on Github, allowing researchers to replicate and extend this work.
Original languageEnglish
Title of host publication Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
PublisherSciTePress
Pages138-148
Number of pages11
Volume1
ISBN (Electronic)978-989-758-680-4
DOIs
Publication statusPublished - 1 Mar 2024
EventICAART2024 : 16th International Conference on Agents and Artificial Intelligence - Italy, Rome, Italy
Duration: 24 Feb 202426 Feb 2024
Conference number: 16
https://icaart.scitevents.org/Home.aspx
https://portal.insticc.org/SubmissionDeadlines/63e42b755652b110e22e62a4
https://icaart.scitevents.org/?y=2024

Publication series

NameICAART - International Conference on Agents and Artificial Intelligence
PublisherSciTePress
ISSN (Print)2184-433X

Conference

ConferenceICAART2024
Abbreviated titleICAART2024
Country/TerritoryItaly
CityRome
Period24/02/2426/02/24
Internet address

Bibliographical note

Publisher Copyright:
© 2024, Science and Technology Publications, Lda. All rights reserved.

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