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Agent-Based Models for Two Stocks with Superhedging

Author

Listed:
  • Dario Crisci

    (Department of Mathematics, Toronto Metropolitan University, 350 Victoria Treet, Toronto, ON M5B 2K3, Canada)

  • Sebastian Ferrando

    (Department of Mathematics, Toronto Metropolitan University, 350 Victoria Treet, Toronto, ON M5B 2K3, Canada)

  • Konrad Gajewski

    (Department of Mathematics, Toronto Metropolitan University, 350 Victoria Treet, Toronto, ON M5B 2K3, Canada)

Abstract

We propose an agent-based, non-probabilistic framework for modeling the joint evolution of two discounted asset prices expressed in units of a third asset acting as numeraire. The framework is based on a trajectorial superhedging theory, in which pricing, arbitrage, and null events are defined purely in financial terms, without reference to probability measures or martingale assumptions. A central necessary theoretical requirement is that the global property ( L ) -a.e. holds, ensuring consistency of the model construction. Admissible price evolutions are described by multidimensional trajectory sets generated from observable price movements and operational rebalancing rules representing a prescribed class of agents. Within a fixed trajectory set, relative price bounds between the two assets are obtained via superhedging and subhedging by means of self-financing portfolios that trade one asset against the other.

Suggested Citation

  • Dario Crisci & Sebastian Ferrando & Konrad Gajewski, 2026. "Agent-Based Models for Two Stocks with Superhedging," Mathematics, MDPI, vol. 14(6), pages 1-53, March.
  • Handle: RePEc:gam:jmathe:v:14:y:2026:i:6:p:968-:d:1891936
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