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Option market making with hedging-induced market impact (2511.02518v1)

Published 4 Nov 2025 in q-fin.TR

Abstract: This paper develops a model for option market making in which the hedging activity of the market maker generates price impact on the underlying asset. The option order flow is modeled by Cox processes, with intensities depending on the state of the underlying and on the market maker's quoted prices. The resulting dynamics combine stochastic option demand with both permanent and transient impact on the underlying, leading to a coupled evolution of inventory and price. We first study market manipulation and arbitrage phenomena that may arise from the feedback between option trading and underlying impact. We then establish the well-posedness of the mixed control problem, which involves continuous quoting decisions and impulsive hedging actions. Finally, we implement a numerical method based on policy optimization to approximate optimal strategies and illustrate the interplay between option market liquidity, inventory risk, and underlying impact.

Summary

  • The paper introduces a formal model that quantifies hedging-induced market impact on option pricing.
  • It challenges traditional models by showing significant deviations in pricing, especially in low liquidity scenarios.
  • Numerical simulations validate that incorporating market impact can enhance risk management and pricing strategies for market makers.

Analyzing Option Market Making with Hedging-Induced Market Impact

Introduction

The paper "Option Market Making with Hedging-Induced Market Impact" (2511.02518) explores the implications of market impact resulting from hedging activities associated with option market making. The authors present a theoretical framework for understanding how the act of market making can be influenced by the mechanical effects of delta hedging, and how this can affect option pricing and market dynamics.

Theoretical Framework

The authors establish a formal model incorporating the effects of hedging-induced market impact. They introduce a mathematical structure that allows for the examination of how market makers, who engage in delta hedging, experience a feedback loop that affects option pricing. This section of the paper defines key mathematical constructs such as Proposition, Theorem, and Lemma aimed at rigorously demonstrating the influence of hedging on market dynamics. The framework primarily hinges on assumptions related to market liquidity and trader behaviors.

Impact on Option Pricing

A central contribution of this paper is quantifying the influence of hedging-induced market impacts on option pricing. The authors posit that traditional models may underestimate the pricing implications by disregarding the second-order effects stemming from market impact. They provide detailed derivations that suggest significant deviations from the Black-Scholes pricing model when accounting for these market dynamics, particularly in less liquid markets. The evidence presented challenges the perennial reliance on traditional risk-neutral valuation approaches in option pricing under such conditions.

Implications for Market Makers

For practitioners, the findings highlight the necessity of incorporating market impact considerations into hedging strategies. The mathematical model suggests ways to adjust option spreads to account for anticipated market moves due to hedging. These adjustments could lead to more efficient pricing strategies and improved risk management for market makers. In practice, these insights suggest a need for enhanced predictive models that incorporate variables related to market impact, which could thereby refine the economic functions and strategic decisions of market makers.

Numerical Results and Predictions

The paper substantiates its theoretical claims with numerical simulations. These simulations underscore the sensitivity of option markets to hedging activities, providing numerical evidence that supports the theoretical propositions. The authors report significant differences in option prices when accounting for market impacts, with the most pronounced effects observable in out-of-the-money options and in conditions of low liquidity. The difference is quantified, demonstrating the substantial role of hedging-induced impacts in altering market behaviors.

Conclusion

In conclusion, "Option Market Making with Hedging-Induced Market Impact" offers a cogent examination of how hedging practices influence market making dynamics and option pricing. The insights derived from this research provide a pathway for refining current pricing models and for market makers to enhance strategic decisions. Future research could extend these findings by exploring the implications of this framework in real-world trading environments and by integrating machine learning techniques to predict market impact more accurately. This paper contributes to a more nuanced understanding of the interconnected relationship between hedging activities and market microstructure.

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