Non-Uniqueness of Best-Of Option Prices Under Basket Calibration

Mohammed Ahnouch (), Lotfi Elaachak and Abderrahim Ghadi
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Mohammed Ahnouch: C3S, Faculté des Sciences et Techniques de Tanger, University Abdelmalek Essaadi, Tangier 90000, Morocco
Lotfi Elaachak: C3S, Faculté des Sciences et Techniques de Tanger, University Abdelmalek Essaadi, Tangier 90000, Morocco
Abderrahim Ghadi: C3S, Faculté des Sciences et Techniques de Tanger, University Abdelmalek Essaadi, Tangier 90000, Morocco

Risks, 2025, vol. 13, issue 6, 1-14

Abstract: This paper demonstrates that perfectly calibrating a multi-asset model to observed market prices of all basket call options is insufficient to uniquely determine the price of a best-of call option. Previous research on multi-asset option pricing has primarily focused on complete market settings or assumed specific parametric models, leaving fundamental questions about model risk and pricing uniqueness in incomplete markets inadequately addressed. This limitation has critical practical implications: derivatives practitioners who hedge best-of options using basket-equivalent instruments face fundamental distributional uncertainty that compounds the well-recognized non-linearity challenges. We establish this non-uniqueness using convex analysis (extreme ray characterization demonstrating geometric incompatibility between payoff structures), measure theory (explicit construction of distinct equivalent probability measures), and geometric analysis (payoff structure comparison). Specifically, we prove that the set of equivalent probability measures consistent with observed basket prices contains distinct measures yielding different best-of option prices, with explicit no-arbitrage bounds [ a K , b K ] quantifying this uncertainty. Our theoretical contribution provides the first rigorous mathematical foundation for several empirically observed market phenomena: wide bid-ask spreads on extremal options, practitioners’ preference for over-hedging strategies, and substantial model reserves for exotic derivatives. We demonstrate through concrete examples that substantial model risk persists even with perfect basket calibration and equivalent measure constraints. For risk-neutral pricing applications, equivalent martingale measure constraints can be imposed using optimal transport theory, though this requires additional mathematical complexity via Schrödinger bridge techniques while preserving our fundamental non-uniqueness results. The findings establish that additional market instruments beyond basket options are mathematically necessary for robust exotic derivative pricing.

Keywords: option pricing; incomplete markets; model risk; pricing uniqueness; non-uniqueness; convex analysis; calibration; basket options; best-of options; probability measures; no-arbitrage bounds; optimal transport (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2025
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