Exploring Narrative Economics: An Agent-Based-Modeling Platform that Integrates Automated Traders with Opinion Dynamics
Kenneth Lomas, Dave Cliff

TL;DR
This paper introduces the first agent-based modeling platform that combines opinion dynamics and trader behavior to study narrative economics, providing a new tool for understanding how stories influence financial markets.
Contribution
It presents an innovative, open-source agent-based platform integrating opinion dynamics with financial trading models to explore narrative effects in economics.
Findings
Demonstrated how narratives can influence trader decisions
Enabled experimental analysis of narrative impacts on markets
Provided a flexible platform for future research in narrative economics
Abstract
In seeking to explain aspects of real-world economies that defy easy understanding when analysed via conventional means, Nobel Laureate Robert Shiller has since 2017 introduced and developed the idea of Narrative Economics, where observable economic factors such as the dynamics of prices in asset markets are explained largely as a consequence of the narratives (i.e., the stories) heard, told, and believed by participants in those markets. Shiller argues that otherwise irrational and difficult-to-explain behaviors, such as investors participating in highly volatile cryptocurrency markets, are best explained and understood in narrative terms: people invest because they believe, because they have a heartfelt opinions, about the future prospects of the asset, and they tell to themselves and others stories (narratives) about those beliefs and opinions. In this paper we describe what is, to…
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