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Modeling wealth distribution in growing markets

  • Interdisciplinary Physics
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Abstract.

We introduce an auto-regressive model which captures the growing nature of realistic markets. In our model agents do not trade with other agents, they interact indirectly only through a market. Change of their wealth depends, linearly on how much they invest, and stochastically on how much they gain from the noisy market. The average wealth of the market could be fixed or growing. We show that in a market where investment capacity of agents differ, average wealth of agents generically follow the Pareto-law. In few cases, the individual distribution of wealth of every agentcould also be obtained exactly. We also show that the underlying dynamics of other well studied kinetic models of markets can be mapped to the dynamics of our auto-regressive model.

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References

  • A. Chatterjee, B.K. Chakrabarti, Eur. Phys. J. B 60, 135 (2007); V.M. Yakovenko, arXiv:org:0709.3662; J. Angle, Physica A 367,388 (2006)

  • J. Angle, Social Forces 65, 293 (1986)

    Google Scholar 

  • S. Ispolatov, P.L. Krapivsky, S. Redner, Eur. Phys. J. B 2, 267 (1998)

    Google Scholar 

  • A.A. Dragulescu, V.M. Yakovenko, Eur. Phys. J. B 17, 723 (2000)

    Google Scholar 

  • A. Chakraborti, B.K. Chakrabarti, Eur. Phys. J. B 17, 167 (2000)

    Google Scholar 

  • A. Chatterjee, B.K. Chakrabarti, S.S. Manna, Physica Scripta T 106, 36 (2003); A. Chatterjee, B.K. Chakrabarti, S.S. Manna, Physica A 335, 155 (2004)

    Google Scholar 

  • J.-P. Bouchaud, M. Mezard, Physica A 282, 536 (2000)

    Google Scholar 

  • F. Slanina, Phys. Rev. E 69, 046102 (2004)

    Google Scholar 

  • T. Di Matteo, T. Aste, S.T. Hyde, The Physics of Complex Systems New advances and Perspectives, edited by F. Mallamace, H.E. Stanley (IOS Press, Amsterdam, 2004)

  • A.C. Silva, V.M. Yakovenko, Europhys. Lett. 69, 304 (2005)

    Google Scholar 

  • A.A. Dragulescu, V.M. Yakovenko, Physica A 359, 555(2001); W. Souma, Fractals 9, 463 (2001); S. Sinha, Physica A 356, 555 (2005); F. Clementi, M. Gallegati, Physica A 350, 427 (2005); X. Gabaix, P. Gopikrishnan, V. Plerou, H.E. Stanley, Nature 423, 267 (2003)

  • V. Pareto, Le Cours dEconomie Politique (Macmillan, London, 1897)

  • P.K. Mohanty, Phys. Rev. E 74, 011117 (2006)

    Google Scholar 

  • K. Bhattacharya, G. Mukherjee, S.S. Manna in Book

  • N.H. Chan, Time series: Application to Finance, Wiley Series in Probability and Statistics (Wiley-InterScience, Canada, 2002)

  • If PDF of x and y are Γ2(x) and \({\cal U}(y)\) respectively then PDF of u=xy is exp(-u)

  • If PDF of x and y are exp (-x) and exp (-y) respectively then PDF of u=x+y is uexp (-u)

  • M. Patriarca, A. Chakraborti, K. Kaski, G. Germano in Book

  • P. Repetowicz, S. Hutzler, P. Richmond, Physica A 356, 641 (2005)

    Google Scholar 

  • Econophysics of Wealth Distribution, edited by A. Chatterjee, S. Yarlagadda, B.K. Chakrabarti (Springer-Verlag, Italy, 2005)

Download references

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Correspondence to Urna Basu.

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Basu, U., Mohanty, P. Modeling wealth distribution in growing markets. Eur. Phys. J. B 65, 585 (2008). https://doi.org/10.1140/epjb/e2008-00372-9

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  • DOI: https://doi.org/10.1140/epjb/e2008-00372-9

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