A Model of Synchronization for Self-Organized Crowding Behavior

Jake J. Xia

Abstract: This paper proposes a general model for synchronized crowding behavior. An order parameter is introduced to quantify the level of synchronization which is shown a function of percentage of agents in reactive state. Further, synchronization is shown to be driven by the most active agents with the highest volatility. A tipping point is identified when crowd becomes self-amplifying and unstable. By applying this model, financial bubbles, market momentum and volatility patterns are simulated.

Date: 2016-12
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1612.01132

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