Mesoscopic modelling of financial markets
Stéphane Cordier (),
Lorenzo Pareschi () and
Cyrille Piatecki ()
Additional contact information
Stéphane Cordier: MAPMO - Mathématiques - Analyse, Probabilités, Modélisation - Orléans - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique
Lorenzo Pareschi: Center for Modelling Computing and Statistics, c/o Department of Economy, Institutions and Territory - UniFE - Università degli Studi di Ferrara = University of Ferrara
Cyrille Piatecki: LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique
Working Papers from HAL
Abstract:
We derive a mesoscopic description of the behavior of a simple financial market where the agents can create their own portfolio between two investments alternatives: a stock and a bond. The model is derived starting from the Levy-Levy-Solomon microscopic model using the methods of kinetic theory and consists of a linear Boltzmann equation for the wealth distribution of the agents coupled with an equation for the price of the stock. From this model under a suitable scaling we derive a Fokker-Planck equation and show that the equation admits a self-similar lognormal behavior. Several numerical examples are also reported to validate our analysis.
Keywords: wealth distribution; power-law tails; stock market; self-similarity; kinetic equations.; kinetic equations (search for similar items in EconPapers)
Date: 2008-06-15
Note: View the original document on HAL open archive server: https://hal.science/hal-00288167
References: Add references at CitEc
Citations:
Downloads: (external link)
https://hal.science/hal-00288167/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-00288167
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().