IDEAS home Printed from https://ideas.repec.org/p/cuf/wpaper/752.html
   My bibliography  Save this paper

Quantum Neuroscience, Subjective Preferences, and Stock Market Dynamics: A Unified Framework

Author

Listed:
  • Heng-fu Zou

Abstract

This paper develops a unified framework linking subjective preferences, stock market behavior, and quantum neuroscience, arguing that financial decision-making originates in quantum cognitive processes rather than classical neural determinism. Preferences, judgments, and ideas are modeled as quantum states evolving within a cognitive Hilbert space, governed by a preference Hamiltonian. These quantum states—subject to superposition, tunneling, entanglement, and uncertainty—explain why investor behavior is inherently probabilistic, context-dependent, and often non-rational. Market prices emerge as observable outcomes of wavefunction collapse across interacting agents, while crashes and bubbles are modeled through quantum tunneling and collective decoherence. We derive a quantum uncertainty principle showing that evaluation volatility and risk perception are fundamentally bounded. Anomalies observed in behavioral and experimental economics, including framing effects and preference reversals, are explained through non-commuting cognitive operators and dynamic, operator-valued utilities. This framework reinterprets market irrationality as a natural consequence of quantum consciousness and provides a rigorous, empirically consistent theory of financial behavior.

Suggested Citation

  • Heng-fu Zou, 2025. "Quantum Neuroscience, Subjective Preferences, and Stock Market Dynamics: A Unified Framework," CEMA Working Papers 752, China Economics and Management Academy, Central University of Finance and Economics.
  • Handle: RePEc:cuf:wpaper:752
    as

    Download full text from publisher

    File URL: https://down.aefweb.net/WorkingPapers/w752.pdf
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cuf:wpaper:752. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Qiang Gao (email available below). General contact details of provider: https://edirc.repec.org/data/emcufcn.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.