Skip to main content
Log in

Mesoscopic Modelling of Financial Markets

  • Published:
Journal of Statistical Physics Aims and scope Submit manuscript

Abstract

We derive a mesoscopic description of the behavior of a simple financial market where the agents can create their own portfolio between two investment alternatives: a stock and a bond. The model is derived starting from the Levy-Levy-Solomon microscopic model (Levy et al. in Econ. Lett. 45:103–111, 1994; Levy et al. in Microscopic Simulation of Financial Markets: From Investor Behavior to Market Phenomena, Academic Press, San Diego, 2000) 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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bouchaud, J.P., Mézard, M.: Wealth condensation in a simple model of economy. Physica A 282, 536 (2000)

    Article  Google Scholar 

  2. Cercignani, C., Illner, R., Pulvirenti, M.: The Mathematical Theory of Dilute Gases. Springer, New York (1994)

    MATH  Google Scholar 

  3. Chakraborti, A., Chakrabarti, B.K.: Statistical mechanics of money: how saving propensity affects its distributions. Eur. Phys. J. B 17, 167 (2000)

    Article  Google Scholar 

  4. Chatterjee, A., Chakrabarti, B.K., Manna, S.S.: Pareto law in a kinetic model of market with random saving propensity. Physica A 335, 155–163 (2004)

    Article  MathSciNet  Google Scholar 

  5. Cordier, S., Pareschi, L., Toscani, G.: On a kinetic model for a simple market economy. J. Stat. Phys. 120, 253–277 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  6. Drǎgulescu, A., Yakovenko, V.M.: Statistical mechanics of money. Eur. Phys. J. B 17, 723–729 (2000)

    Article  Google Scholar 

  7. Düring, B., Toscani, G.: Hydrodynamics from kinetic models of conservative economies. Physica A 384, 493–506 (2007)

    Article  Google Scholar 

  8. Ernst, M.H., Brito, R.: Scaling solutions of inelastic Boltzmann equation with over-populated high energy tails. J. Stat. Phys. 109, 407–432 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  9. Gabaix, X., Gopikrishnan, P., Plerou, V., Stanley, H.E.: A Theory of power-law distributions in financial market fluctuations. Nature 423, 267–270 (2003)

    Article  Google Scholar 

  10. Gini, C.: Measurement of inequality and incomes. Econ. J. 31, 124–126 (1921)

    Article  Google Scholar 

  11. Hill, I., Taylor, R.: Recent trends in dividends payments and share buy-backs. Econ. Trends 567, 42–44 (2001)

    Google Scholar 

  12. Ingersoll, J.E. Jr.: Theory of Financial Decision Making. Rowman and Littlefield, Totowa (1987)

    Google Scholar 

  13. Ispolatov, S., Krapivsky, P.L., Redner, S.: Wealth distributions in asset exchange models. Eur. Phys. J. B 2, 267–276 (1998)

    Article  Google Scholar 

  14. Levy, M., Solomon, S.: New evidence for the power law distribution of wealth. Physica A 242, 90 (1997)

    Article  Google Scholar 

  15. Levy, M., Levy, H., Solomon, S.: A microscopic model of the stock market: Cycles, booms and crashes. Econ. Lett. 45, 103–111 (1994)

    Article  MATH  Google Scholar 

  16. Levy, M., Levy, H., Solomon, S.: Microscopic Simulation of Financial Markets: From Investor Behaviour to Market Phenomena. Academic Press, San Diego (2000)

    Google Scholar 

  17. Liron, N., Rubinstein, J.: Calculating the fundamental solution to linear convection-diffusion problems. SIAM J. App. Math. 44, 493–511 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  18. Malcai, O., Biham, O., Solomon, S., Richmond, P.: Theoretical analysis and simulations of the generalized Lotka-Volterra model. Phys. Rev. E 66, 031102 (2002)

    Article  MathSciNet  Google Scholar 

  19. Mantegna, R.N.: Levy walks and enhanced diffusion in Milan stock exchange. Physica A 179, 232 (1991)

    Article  ADS  Google Scholar 

  20. Mantegna, R.N., Stanley, H.E.: An Introduction to Econophysics Correlations and Complexity in Finance. Cambridge University Press, Cambridge (2000)

    Google Scholar 

  21. Matthes, D., Toscani, G.: On steady distributions of kinetic models of conservative economies. J. Stat. Phys. 130, 1087–1117 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  22. Pareschi, L., Toscani, G.: Self-similarity and power-like tails in nonconservative kinetic models. J. Stat. Phys. 124, 747–779 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  23. Pareto, V.: Cours d’Economie Politique. Rouge, Lausanne (1897)

    Google Scholar 

  24. Plerou, V., Gopikrishnan, P., Stanley, H.E.: Two-phase behaviour of financial markets. Nature 421, 130 (2003)

    Article  Google Scholar 

  25. Slanina, F.: Inelastically scattering particles and wealth distribution in an open economy. Phys. Rev. E 69, 046102 (2004)

    Article  Google Scholar 

  26. Solomon, S.: Stochastic Lotka-Volterra systems of competing auto-catalytic agents lead generically to truncated Pareto power wealth distribution, truncated Levy distribution of market returns, clustered volatility, booms and crashes. In: Refenes, A.-P.N., Burgess, A.N., Moody, J.E. (eds.) Computational Finance 97. Kluwer Academic, Dordrecht (1998)

    Google Scholar 

  27. Solomon, S., Richmond, P.: Power laws of wealth, market order volumes and market returns. Physica A 299, 188–197 (2001)

    Article  MATH  Google Scholar 

  28. Spiga, G., Toscani, G.: The dissipative linear Boltzmann equation. Appl. Math. Lett. 17, 295–301 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  29. Voit, J.: The Statistical Mechanics of Financial Markets. Springer, Berlin (2005)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lorenzo Pareschi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cordier, S., Pareschi, L. & Piatecki, C. Mesoscopic Modelling of Financial Markets. J Stat Phys 134, 161–184 (2009). https://doi.org/10.1007/s10955-008-9667-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10955-008-9667-z

Keywords

Navigation