The Hidden Boundary Zone of the Black-Scholes Formula: A Probabilistic Decomposition

In this article, we present an alternative probabilistic decomposition of the well-known Black-Scholes formula for European call option pricing. This framework clarifies the relationship between classical option pricing theory and the Samuelson-Ito equation by introducing an intuitive expectation-based representation. Crucially, this approach exposes a hidden boundary zone within the option’s payoff space—defined as event A3—where the replication system experiences maximum tension. We explicate the exact economic and microstructure components of this zone, allowing investors and financial engineers to visually trace what they are fundamentally paying for under late-stage market uncertainty.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22673155
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
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article

The Hidden Boundary Zone of the Black-Scholes Formula: A Probabilistic Decomposition

Arseniy Korshunov
Zenodo (CERN European Organization for Nuclear Research)
Stochastic processes and financial applications
article

The Hidden Boundary Zone of the Black-Scholes Formula: A Probabilistic Decomposition

Arseniy Korshunov
article en

Abstract

In this article, we present an alternative probabilistic decomposition of the well-known Black-Scholes formula for European call option pricing. This framework clarifies the relationship between classical option pricing theory and the Samuelson-Ito equation by introducing an intuitive expectation-based representation. Crucially, this approach exposes a hidden boundary zone within the option’s payoff space—defined as event A3—where the replication system experiences maximum tension. We explicate the exact economic and microstructure components of this zone, allowing investors and financial engineers to visually trace what they are fundamentally paying for under late-stage market uncertainty.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Stochastic processes and financial applications
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