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Teoreticheskaya i Matematicheskaya Fizika, 2007, Volume 152, Number 2, Pages 405–415
DOI: https://doi.org/10.4213/tmf6096
(Mi tmf6096)
 

This article is cited in 10 scientific papers (total in 10 papers)

Quantum modeling of nonlinear dynamics of stock prices: Bohmian approach

O. A. Choustova

Växjö University
References:
Abstract: We use quantum mechanical methods to model the price dynamics in the financial market mathematically. We propose describing behavioral financial factors using the pilot-wave (Bohmian) model of quantum mechanics. The real price trajectories are determined (via the financial analogue of the second Newton law) by two financial potentials: the classical-like potential V(q)V(q) (“hard” market conditions) and the quantumlike potential U(q)U(q) (behavioral market conditions).
Keywords: quantum mechanics, financial market, Bohmian mechanics, information pilot wave, nonlinear price dynamics.
English version:
Theoretical and Mathematical Physics, 2007, Volume 152, Issue 2, Pages 1213–1222
DOI: https://doi.org/10.1007/s11232-007-0104-2
Bibliographic databases:
Language: Russian
Citation: O. A. Choustova, “Quantum modeling of nonlinear dynamics of stock prices: Bohmian approach”, TMF, 152:2 (2007), 405–415; Theoret. and Math. Phys., 152:2 (2007), 1213–1222
Citation in format AMSBIB
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Linking options:
  • https://www.mathnet.ru/eng/tmf6096
  • https://doi.org/10.4213/tmf6096
  • https://www.mathnet.ru/eng/tmf/v152/i2/p405
  • This publication is cited in the following 10 articles:
    1. Lin Li, “Quantum Probability Theoretic Asset Return Modeling: A Novel Schrödinger-Like Trading Equation and Multimodal Distribution”, Quantum Economics and Finance, 2025  crossref
    2. Li Lin, “Quantum Probability Theoretic Asset Return Modeling: A Novel Schrödinger-Like Trading Equation and Multimodal Distribution”, SSRN Journal, 2024  crossref
    3. Reza Hosseini, Samin Tajik, Zahra Koohi Lai, Tayeb Jamali, Emmanuel Haven, Reza Jafari, “Quantum Bohmian-Inspired Potential to Model Non–Gaussian Time Series and Its Application in Financial Markets”, Entropy, 25:7 (2023), 1061  crossref
    4. Raymond J. Hawkins, B. Roy Frieden, The Palgrave Handbook of Quantum Models in Social Science, 2017, 19  crossref
    5. F. Tahmasebi, S. Meskinimood, A. Namaki, S. Vasheghani Farahani, S. Jalalzadeh, G. R. Jafari, “Financial market images: A practical approach owing to the secret quantum potential”, EPL, 109:3 (2015), 30001  crossref
    6. Sarris C.M., Proto A.N., “Quantum Models For Decision Making and Opinion Dynamics the Role of the Lie Algebras the Role of the Lie Algebras”, Qual. Quant., 48:4 (2014), 1945–1956  crossref  isi  scopus
    7. Ravi Kashyap, “The Uncertainty Principle of the Social Sciences”, SSRN Journal, 2014  crossref
    8. Zeng R., He X., “The Application of the Data Mining Technology in the Stock Market Based on a-Share Real Estate Companies”, Proceedings of 2012 International Conference on Construction & Real Estate Management, Vols 1 and 2, eds. Wang Y., Bai Y., Shen G., China Architecture & Building Press, 2012, 461–464  isi
    9. Raymond J. Hawkins, B. Roy Frieden, “Asymmetric Information and Quantization in Financial Economics”, International Journal of Mathematics and Mathematical Sciences, 2012 (2012), 1  crossref
    10. Emmanuel Haven, “Private Information and the 'Information Function': A Survey of Possible Uses”, Theor Decis, 64:2-3 (2008), 193  crossref
    Citing articles in Google Scholar: Russian citations, English citations
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    Теоретическая и математическая физика Theoretical and Mathematical Physics
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