Herd Behavior and Financial Crashes: An Interacting Particle System Approach

We provide an approach based on a modification of the Ising model to describe the dynamics of stock markets. Our model incorporates three different factors: imitation, the impact of external news, and private information; moreover, it is characterized by coupling coefficients, static in time, but no...

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Main Authors: Vincenzo Crescimanna, Luca Di Persio
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2016/7510567
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author Vincenzo Crescimanna
Luca Di Persio
author_facet Vincenzo Crescimanna
Luca Di Persio
author_sort Vincenzo Crescimanna
collection DOAJ
description We provide an approach based on a modification of the Ising model to describe the dynamics of stock markets. Our model incorporates three different factors: imitation, the impact of external news, and private information; moreover, it is characterized by coupling coefficients, static in time, but not identical for each agent. By analogy with physical models, we consider the temperature parameter of the system, assuming that it evolves with memory of the past, hence considering how former news influences realized market returns. We show that a standard Ising potential assumption is not sufficient to reproduce the stylized facts characterizing financial markets; this is because it assigns low probabilities to rare events. Hence, we study a variation of the previous setting providing, also by concrete computations, new insights and improvements.
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institution Kabale University
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spelling doaj-art-bd7e5f499d3647f7902f7520c4df1cef2025-02-03T05:47:15ZengWileyJournal of Mathematics2314-46292314-47852016-01-01201610.1155/2016/75105677510567Herd Behavior and Financial Crashes: An Interacting Particle System ApproachVincenzo Crescimanna0Luca Di Persio1Department of Computer Science, University of Verona, Strada le Grazie 15, 37134 Verona, ItalyDepartment of Computer Science, University of Verona, Strada le Grazie 15, 37134 Verona, ItalyWe provide an approach based on a modification of the Ising model to describe the dynamics of stock markets. Our model incorporates three different factors: imitation, the impact of external news, and private information; moreover, it is characterized by coupling coefficients, static in time, but not identical for each agent. By analogy with physical models, we consider the temperature parameter of the system, assuming that it evolves with memory of the past, hence considering how former news influences realized market returns. We show that a standard Ising potential assumption is not sufficient to reproduce the stylized facts characterizing financial markets; this is because it assigns low probabilities to rare events. Hence, we study a variation of the previous setting providing, also by concrete computations, new insights and improvements.http://dx.doi.org/10.1155/2016/7510567
spellingShingle Vincenzo Crescimanna
Luca Di Persio
Herd Behavior and Financial Crashes: An Interacting Particle System Approach
Journal of Mathematics
title Herd Behavior and Financial Crashes: An Interacting Particle System Approach
title_full Herd Behavior and Financial Crashes: An Interacting Particle System Approach
title_fullStr Herd Behavior and Financial Crashes: An Interacting Particle System Approach
title_full_unstemmed Herd Behavior and Financial Crashes: An Interacting Particle System Approach
title_short Herd Behavior and Financial Crashes: An Interacting Particle System Approach
title_sort herd behavior and financial crashes an interacting particle system approach
url http://dx.doi.org/10.1155/2016/7510567
work_keys_str_mv AT vincenzocrescimanna herdbehaviorandfinancialcrashesaninteractingparticlesystemapproach
AT lucadipersio herdbehaviorandfinancialcrashesaninteractingparticlesystemapproach