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Quantum Leap: A Price Leap Mechanism in Financial Markets

Author

Listed:
  • Haoran Zheng

    (School of Economics, Shanghai University, Shanghai 200444, China)

  • Jing Bai

    (School of Economics, Shanghai University, Shanghai 200444, China)

Abstract

This study explores the quantum leapfrog mechanism within the context of quantum finance and presents a new interpretation of established financial models through a quantum perspective. In quantum physics, the well-documented phenomenon of particles tunneling through energy barriers has a parallel in finance. We propose a quantum financial leapfrog model in which asset prices make quantum leaps, penetrating market “energy barriers” in non-sequential advances. By leveraging the Hamiltonian operator and the Schrödinger equation, our approach simulates the dynamics of asset prices in a manner akin to the trajectories of particles in quantum mechanics. We draw an analogy between financial markets and gravitational fields, and from this we derive energy equations for pricing orbits. Using path integration techniques, we map out potential price transitions between these orbits, which are guided by the calculation of minimal energy barriers. Furthermore, we introduce a market “propagator” that aligns with the uncertainty principle, identifying the optimal price pathways. Our findings provide new insights and methodologies for navigating the complexities of financial markets, underscoring the significant potential of quantum approaches in the field of finance. These findings have theoretical implications for a variety of market stakeholders, offering strategic guidance and a reference point. We expect that the advancement of the quantum financial leapfrog theory will refine analytical methods and enhance investment strategies in practical financial applications.

Suggested Citation

  • Haoran Zheng & Jing Bai, 2024. "Quantum Leap: A Price Leap Mechanism in Financial Markets," Mathematics, MDPI, vol. 12(2), pages 1-27, January.
  • Handle: RePEc:gam:jmathe:v:12:y:2024:i:2:p:315-:d:1321676
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    References listed on IDEAS

    as
    1. Pouria Pedram, 2011. "The minimal length uncertainty and the quantum model for the stock market," Papers 1111.6859, arXiv.org, revised Jan 2012.
    2. Arraut, Ivan & Au, Alan & Tse, Alan Ching-biu & Segovia, Carlos, 2019. "The connection between multiple prices of an Option at a given time with single prices defined at different times: The concept of weak-value in quantum finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    3. Pedram, Pouria, 2012. "The minimal length uncertainty and the quantum model for the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2100-2105.
    4. Nastasiuk, Vadim A., 2014. "Emergent quantum mechanics of finances," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 403(C), pages 148-154.
    5. Ataullah, Ali & Davidson, Ian & Tippett, Mark, 2009. "A wave function for stock market returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(4), pages 455-461.
    6. Sarkissian, Jack, 2020. "Quantum coupled-wave theory of price formation in financial markets: Price measurement, dynamics and ergodicity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    7. Tudor, Sebastian F. & Chatterjee, Rupak & Nguyen, Lac & Huang, Yuping, 2019. "Quantum systems for Monte Carlo methods and applications to fractional stochastic processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    8. Nasiri, S. & Bektas, E. & Jafari, G.R., 2018. "The impact of trading volume on the stock market credibility: Bohmian quantum potential approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1104-1112.
    9. Fabio Bagarello, 2009. "A quantum statistical approach to simplified stock markets," Papers 0907.2531, arXiv.org.
    10. Bagarello, F., 2009. "A quantum statistical approach to simplified stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(20), pages 4397-4406.
    11. Kondratenko, Anatoly V., 2015. "Probabilistic Economic Theory," MPRA Paper 81130, University Library of Munich, Germany.
    12. Hao Tang & Anurag Pal & Lu-Feng Qiao & Tian-Yu Wang & Jun Gao & Xian-Min Jin, 2020. "Quantum Computation for Pricing the Collateralized Debt Obligations," Papers 2008.04110, arXiv.org, revised Apr 2021.
    13. Baaquie, Belal E. & Corianò, Claudio & Srikant, Marakani, 2004. "Hamiltonian and potentials in derivative pricing models: exact results and lattice simulations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(3), pages 531-557.
    14. Orrell, David, 2020. "A quantum model of supply and demand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    15. Baaquie, Belal Ehsan, 2020. "Merton’s equation and the quantum oscillator: Pricing risky corporate coupon bonds," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    16. Pierre Dieterlen, 1960. "Sur la formation du pouvoir d'achat," Revue Économique, Programme National Persée, vol. 11(1), pages 130-136.
    17. Jack Sarkissian, 2016. "Quantum theory of securities price formation in financial markets," Papers 1605.04948, arXiv.org, revised May 2016.
    18. Jack Sarkissian, 2020. "Quantum coupled-wave theory of price formation in financial markets: price measurement, dynamics and ergodicity," Papers 2002.04212, arXiv.org.
    19. L. Ingber, 2017. "Options on quantum money: Quantum path-integral with serial shocks," Lester Ingber Papers 17oq, Lester Ingber.
    20. Basieva, Irina & Khrennikova, Polina & Pothos, Emmanuel M. & Asano, Masanari & Khrennikov, Andrei, 2018. "Quantum-like model of subjective expected utility," Journal of Mathematical Economics, Elsevier, vol. 78(C), pages 150-162.
    21. Ivan Arraut & Alan Au & Alan Ching-biu Tse & Carlos Segovia, 2019. "The connection between multiple prices of an Option at a given time with single prices defined at different times: The concept of weak-value in quantum finance," Papers 1905.05813, arXiv.org.
    22. Evangelos Vasileiou, 2021. "Are Markets Efficient? A Quantum Mechanics View," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(2), pages 214-220, April.
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