Arbitrage filtering of option prices: a simple real-time approach

This paper presents a simple arbitrage filtering method for preprocessing European option quotes. Prices are modified only when basic no-arbitrage conditions are violated, and no quotes are discarded. Instead, quotes are adjusted using information from other, more liquid quotes. This process is iterative and continues until all violations are resolved. The filter is shown to minimize an intuitive objective function, and local optimality properties are established, relating to the most liquid quotes. The method is straightforward to implement and fast, making it particularly suitable for real-time applications. Numerical examples illustrate key filtering properties, including the tendency to produce sparse solutions that leave many quotes unchanged, as well as its robustness to outliers.

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Publication Details

Journal
Quantitative Finance
Published
2025-12-08
DOI
https://doi.org/10.1080/14697688.2025.2574907
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Arbitrage filtering of option prices: a simple real-time approach

Karim Moussa
Quantitative Finance
Stochastic processes and financial applications
article

Arbitrage filtering of option prices: a simple real-time approach

Karim Moussa
article en

Abstract

This paper presents a simple arbitrage filtering method for preprocessing European option quotes. Prices are modified only when basic no-arbitrage conditions are violated, and no quotes are discarded. Instead, quotes are adjusted using information from other, more liquid quotes. This process is iterative and continues until all violations are resolved. The filter is shown to minimize an intuitive objective function, and local optimality properties are established, relating to the most liquid quotes. The method is straightforward to implement and fast, making it particularly suitable for real-time applications. Numerical examples illustrate key filtering properties, including the tendency to produce sparse solutions that leave many quotes unchanged, as well as its robustness to outliers.

Quantitative FinanceVol. 26(3)
Tinbergen Institute (NL), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 52%
Stochastic processes and financial applications
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