Market efficiency, anticipation and the formation of bubbles-crashes
Serge Galam

TL;DR
This paper introduces a dynamic model of market behavior showing how local interactions and collective beliefs can lead to efficient prices, bubbles, and crashes in financial markets.
Contribution
It presents a novel agent-based model incorporating local majority rules and anticipation effects to explain market phenomena like bubbles and crashes.
Findings
Efficient market prices emerge from local information aggregation.
Optimistic beliefs can lead to persistent bubbles despite private bearish info.
Sudden shifts in collective expectations can cause rapid market crashes.
Abstract
A dynamical model is introduced for the formation of a bullish or bearish trends driving an asset price in a given market. Initially, each agent decides to buy or sell according to its personal opinion, which results from the combination of its own private information, the public information and its own analysis. It then adjusts such opinion through the market as it observes sequentially the behavior of a group of random selection of other agents. Its choice is then determined by a local majority rule including itself. Whenever the selected group is at a tie, i.e., it is undecided on what to do, the choice is determined by the local group belief with respect to the anticipated trend at that time. These local adjustments create a dynamic that leads the market price formation. In case of balanced anticipations the market is found to be efficient in being successful to make the "right…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Systems and Time Series Analysis · Complex Network Analysis Techniques
