Skip to main content

A Simple Econophysics Model of the Stock Market as a Nonequilibrium Open System

  • Conference paper
  • First Online:
Applied Physics, System Science and Computers II (APSAC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 489))

Abstract

Mathematical modeling of a stock market functioning is one of the actual and at the same time complex task of the modern theoretical economics. From our point of view, building such mathematical models “ab initio”, by using analogy between the stock market and a certain physical system (in our work, laser), is the most promising approach. This paper proposes a simple econophysical model of stock market as an open nonequilibrium system in form of Lorenz–Haken equation. In this system, variation of ask price, variation of bid price, and instantaneous difference between numbers of agents in active and passive state are intensity of external information flow is a control parameter. This model explains the impossibility of existence of an equilibrium state of the market and shows the presence of deterministic chaos in a stock market.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Chakraborti, A., Toke, I., Patriarca, V., Abergel, F.: Econophysics review: I. Empir. Facts Quant. Finan. Quant. Fin. 11, 991–1012 (2011)

    MathSciNet  Google Scholar 

  2. Chakraborti, A., Toke, I., Patriarca, V., Abergel, F.: Econophysics review: II. Agent-based Models. Quant. Fin. 11, 1013–1041 (2011)

    Article  Google Scholar 

  3. Richmond, P., Mimkes, J., Hutzler, S.: Econophysics and Physical Economics. Oxford University Press, United Kingdom (2013)

    Book  Google Scholar 

  4. Savoiu, G.: Econophysics: Background and Applications in Economics, Finance, and Sociophysics. Elsevier, Amsterdam (2013)

    Google Scholar 

  5. Hsieh, D.A.: Chaos and Nonlinear Dynamics: Application to Financial Markets. J. Fin. 46, 1839–1877 (1991)

    Article  Google Scholar 

  6. Small, M., Tse, C.K.: Determinism in Financial Time Series. Stud. Nonlin. Dyn. Econom. 7, 1–29 (2003)

    MATH  Google Scholar 

  7. Mandelbrot, B.B.: The Variation of Certain Speculative Prices. J. Bus. 36, 394–419 (1963). University of Chicago

    Article  Google Scholar 

  8. Hudson, R.L., Mandelbrot, B.B.: The (Mis)Behavior of Markets: A Fractal View of Risk, Ruin, and Reward. Basic Books, New York (2004)

    MATH  Google Scholar 

  9. Savit, R.: When random is not random: an introduction to chaos in market prices. J. Fut. Mark. 8, 271–290 (1988)

    Article  Google Scholar 

  10. Lai, Y.C., Ye, N.: Recent developments in chaotic time series analysis. Int. J. Bif. Chaos 13, 1383–1422 (2003)

    Article  MathSciNet  Google Scholar 

  11. Murray, F., Stengos, T.: Measuring the strangeness of gold and silver rates of return. Rev. Econom. Stud. 56, 553–567 (1989)

    Article  Google Scholar 

  12. Blank, S.: Chaos in futures markets? a nonlinear dynamical analysis. J. Fut. Mark. 11, 711–728 (1991)

    Article  Google Scholar 

  13. Decoster, G.P., Labys, W.C., Mitchell, D.W.: Evidence of chaos in commodity futures prices. J. Fut. Mark. 12, 291–305 (1992)

    Article  Google Scholar 

  14. Abhyankar, A., Copeland, L.S., Wong, W.: Nonlinear dynamics in real-time equity market indices: evidence from the United Kingdom. Econom. J. 105, 864–880 (1995)

    Google Scholar 

  15. Andreou, A.S., Pavlides, G., Karytinos, A.: Nonlinear time-series analysis of the Greek exchange-rate market. Int. J. Bif. Chaos 10, 1729–1758 (2000)

    Article  Google Scholar 

  16. Panas, E., Ninni, V.: Are oil markets chaotic? a non-linear dynamic analysis. Energ. Econ. 22, 549–568 (2000)

    Article  Google Scholar 

  17. Antoniou, A., Vorlow, C.E.: Price clustering and discreteness: is there chaos behind the noise? Phys. A 348, 389–403 (2005)

    Article  Google Scholar 

  18. Hafner, C.M., Reznikova, O.: On the estimation of dynamic conditional correlation models. Comp. Stat. Data Anal. 56, 3533–3545 (2012)

    Article  MathSciNet  Google Scholar 

  19. Urrutia, J.L., Gronewoller, P., Hoque, M.: Nonlinearity and low deterministic chaotic behavior in insurance portfolio stock returns. J. Risk Insur. 69, 537–554 (2002)

    Article  Google Scholar 

  20. Elliott, R.J., Kopp, P.E.: Mathematics of the Financial Markets. Springer, Berlin Heidelberg (2005)

    MATH  Google Scholar 

  21. Cai, G., Huang, J.: A new finance chaotic attractor. Int. J. Nonlin. Sci. 3, 213–220 (2007)

    MathSciNet  Google Scholar 

  22. Chen, W.C.: Dynamics and control of a financial system with time-delayed feedbacks. Chaos, Solitons Fractals 37, 1188–1207 (2008)

    Google Scholar 

  23. Holyst, J.A., Zebrowska, M., Urbanowicz, K.: Observations of the deterministic chaos in financial time series by recurrence plots, can one control chaotic economy? Europ. Phys. J. B 20, 531–535 (2001)

    Article  MathSciNet  Google Scholar 

  24. Loskutov, A.Y.: Dynamical chaos: systems of classical mechanics. Phys. Uspekhi 177, 989–1015 (2007)

    Google Scholar 

  25. Loskutov, A.Y.: Fascination of Chaos. Phys. Uspekhi 180, 1305–1329 (2010)

    Google Scholar 

  26. Atkins, P.W.: The Elements of Physical Chemistry. Oxford University Press, United Kingdom (1993)

    Google Scholar 

  27. Haken, H.: Analogy between higher instabilities in fluids and lasers. Phys. Lett. A 53, 77–85 (1975)

    Article  Google Scholar 

  28. Sparrow, C.: The Lorenz Equations: Bifurcations Chaos and Strange Attractors. Springer, Germany (1982)

    Book  Google Scholar 

  29. Hilborn, R.C.: Chaos and nonlinear dynamics: an introduction for scientists and engineers. Oxford University Press, United Kingdom (2000)

    Book  Google Scholar 

  30. Kaulakys, B., Alaburda, M.: Modeling scaled processes and 1/fβ noise using nonlinear stochastic differential equations. J. Stat. Mech. P02051, 1–16 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrey Dmitriev .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dmitriev, A., Silchev, V., Dmitriev, V. (2019). A Simple Econophysics Model of the Stock Market as a Nonequilibrium Open System. In: Ntalianis, K., Croitoru, A. (eds) Applied Physics, System Science and Computers II. APSAC 2017. Lecture Notes in Electrical Engineering, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-319-75605-9_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-75605-9_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75604-2

  • Online ISBN: 978-3-319-75605-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics