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Mathematical modeling of probability distribution of money by means of potential formation

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  • Aktaev, Nurken E.
  • Bannova, K.A.

Abstract

The work is devoted to the development of a mathematical model for studying the probability distribution of money of an agent. The model is based on the Fokker–Planck equation. To calculate the diffusion term, we used the quadratic dependence of the money balance of an agent in the Yakovenko model. To calculate the drift term, we propose to use a function (potential) that takes into account the income (i.e. the influx of money) and expenditures (i.e. the outflow of money) for an agent. For an analytical description of the income of an agent, a linear dependence on money balance was used. Expenditures were characterized by the demand for essential goods, long-term and luxury goods. Tornquist functions were used to describe the demand functions. The construction of the potential made it possible to identify atypical conditions for the formation of the probability distribution of money.

Suggested Citation

  • Aktaev, Nurken E. & Bannova, K.A., 2022. "Mathematical modeling of probability distribution of money by means of potential formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
  • Handle: RePEc:eee:phsmap:v:595:y:2022:i:c:s0378437122001303
    DOI: 10.1016/j.physa.2022.127089
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    References listed on IDEAS

    as
    1. Danial Ludwig & Victor M. Yakovenko, 2021. "Physics-inspired analysis of the two-class income distribution in the USA in 1983-2018," Papers 2110.03140, arXiv.org, revised Jan 2022.
    2. Aydogan, Yigit & Donduran, Murat, 2019. "Concluding Gibrat’s law with Turkish firm data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 533(C).
    3. Clementi, F. & Di Matteo, T. & Gallegati, M. & Kaniadakis, G., 2008. "The κ-generalized distribution: A new descriptive model for the size distribution of incomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(13), pages 3201-3208.
    4. Bruce Boghosian, 2014. "Fokker–Planck description of wealth dynamics and the origin of Pareto's law," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(12), pages 1-8.
    5. Fujiwara, Yoshi & Di Guilmi, Corrado & Aoyama, Hideaki & Gallegati, Mauro & Souma, Wataru, 2004. "Do Pareto–Zipf and Gibrat laws hold true? An analysis with European firms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 335(1), pages 197-216.
    6. F. Clementi & M. Gallegati & G. Kaniadakis, 2009. "A k-generalized statistical mechanics approach to income analysis," Papers 0902.0075, arXiv.org, revised Feb 2009.
    7. Denuit, Michel & Sznajder, Dominik & Trufin, Julien, 2019. "Model selection based on Lorenz and concentration curves, Gini indices and convex order," Insurance: Mathematics and Economics, Elsevier, vol. 89(C), pages 128-139.
    8. Chu, Yongqiang & Li, Xinming & Ma, Tao & Zhao, Daxuan, 2021. "Option compensation, risky mortgage lending, and the financial crisis," Journal of Corporate Finance, Elsevier, vol. 70(C).
    9. Fischer, Robert & Braun, Dieter, 2003. "Transfer potentials shape and equilibrate monetary systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(3), pages 605-618.
    10. Desmet, Klaus & Rappaport, Jordan, 2017. "The settlement of the United States, 1800–2000: The long transition towards Gibrat’s law," Journal of Urban Economics, Elsevier, vol. 98(C), pages 50-68.
    11. Wang, Zheng-Xin & Zhang, Hai-Lun & Zheng, Hong-Hao, 2019. "Estimation of Lorenz curves based on dummy variable regression," Economics Letters, Elsevier, vol. 177(C), pages 69-75.
    12. James, Christopher & Lu, Jing & Sun, Yangfan, 2021. "Time is money: Real effects of relationship lending in a crisis," Journal of Banking & Finance, Elsevier, vol. 133(C).
    13. Tarasov, Vasily E., 2020. "Fractional econophysics: Market price dynamics with memory effects," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    14. Fabio Clementi & Mauro Gallegati & Giorgio Kaniadakis, 2010. "A model of personal income distribution with application to Italian data," Empirical Economics, Springer, vol. 39(2), pages 559-591, October.
    15. Bertoli-Barsotti, Lucio & Lando, Tommaso, 2019. "How mean rank and mean size may determine the generalised Lorenz curve: With application to citation analysis," Journal of Informetrics, Elsevier, vol. 13(1), pages 387-396.
    16. Hsieh, Meng-Fen & Lee, Chien-Chiang, 2020. "Foreign bank lending during a crisis: The impact of financial regulations," Economic Systems, Elsevier, vol. 44(3).
    17. Jagielski, Maciej & Kutner, Ryszard, 2013. "Modelling of income distribution in the European Union with the Fokker–Planck equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2130-2138.
    18. Bruce M. Boghosian, 2014. "Fokker-Planck Description of Wealth Dynamics and the Origin of Pareto's Law," Papers 1407.6851, arXiv.org.
    19. Victor M. Yakovenko, 2016. "Monetary economics from econophysics perspective," Papers 1608.04832, arXiv.org.
    20. Fonseca, Carla L.G. & de Resende, Charlene C. & Fernandes, Danilo H.C. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2021. "Is the choice of the candlestick dimension relevant in econophysics?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    21. Fabio Clementi & Mauro Gallegati & Giorgio Kaniadakis, 2012. "A new model of income distribution: the κ-generalized distribution," Journal of Economics, Springer, vol. 105(1), pages 63-91, January.
    22. Denuit, Michel & Sznajder, Dominik & Trufin, Julien, 2019. "Model selection based on Lorenz and concentration curves, Gini indices and convex order," LIDAM Discussion Papers ISBA 2019006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    23. K.A. Bannova & N.E. Aktaev, 2020. "Mathematical modelling of optimal tax trajectory within the framework of Cobb-Douglas model," Applied Economics Letters, Taylor & Francis Journals, vol. 27(17), pages 1451-1457, October.
    24. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    25. Denuit, Michel & Sznajder, Dominik & Trufin, Julien, 2019. "Model selection based on Lorenz and concentration curves, Gini indices and convex order," LIDAM Reprints ISBA 2019046, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    26. Richmond, Peter & Sabatelli, Lorenzo, 2004. "Langevin processes, agent models and socio-economic systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 336(1), pages 27-38.
    27. Rashkovskiy, S.A., 2021. "Thermodynamics of markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    28. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.
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    1. Takeshi Kato, 2022. "Wealth Redistribution and Mutual Aid: Comparison using Equivalent/Nonequivalent Exchange Models of Econophysics," Papers 2301.00091, arXiv.org.

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