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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Scaling laws of strategic behavior and size heterogeneity in agent dynamics
Gabriella Vaglica1, Fabrizio Lillo, Esteban Moro
1Dipartimento di Fisica e Tecnologie Relative, Università di Palermo, Viale delle Scienze, Palermo, Italy.
Abstract:
We consider the financial market as a model system and study empirically how agents strategically adjust the properties of large orders in order to meet their preference and minimize their impact. We quantify this strategic behavior by detecting scaling relations between the variables characterizing the trading activity of different institutions. We also observe power-law distributions in the investment time horizon, in the number of transactions needed to execute a large order, and in the traded value exchanged by large institutions, and we show that heterogeneity of agents is a key ingredient for the emergence of some aggregate properties characterizing this complex system.
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