Financial Markets and Individual Attitudes: The Stick-balancing Model

Abstract This study presents an order book model to explore the influence of individual traders’ attitudes on financial market stability. To this end, we model traders’ psychological ability to resist external stimuli, by introducing an analogy between their psychomotor capacity to balance unstable objects and the experience in resisting destabilizing financial market signals. Our main results show that the personal experience, i.e., the combination of ability and timing of reaction, of market participants affects the fat tails of the return distribution in our model. Some policy directions are finally drawn.

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Publication Details

Journal
Computational Economics
Published
2025-12-22
DOI
https://doi.org/10.1007/s10614-025-11236-0
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Financial Markets and Individual Attitudes: The Stick-balancing Model

Laura Mazzarino, A. Pluchino, Alessio Emanuele Biondo
Computational Economics
Complex Systems and Time Series Analysis
article

Financial Markets and Individual Attitudes: The Stick-balancing Model

Laura Mazzarino, A. Pluchino, Alessio Emanuele Biondo
article en

Abstract

Abstract This study presents an order book model to explore the influence of individual traders’ attitudes on financial market stability. To this end, we model traders’ psychological ability to resist external stimuli, by introducing an analogy between their psychomotor capacity to balance unstable objects and the experience in resisting destabilizing financial market signals. Our main results show that the personal experience, i.e., the combination of ability and timing of reaction, of market participants affects the fat tails of the return distribution in our model. Some policy directions are finally drawn.

Computational Economics
TU Dortmund University (DE), University of Catania (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Catania (IT), University College London (GB)
Openalex Percentile: Top 22%
Complex Systems and Time Series Analysis
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