Option market-making and vol arbitrage. The agent’s view is factored in to a realised-vs-implied vol model

We introduce a market making model of options which can encompass the trader’s view on the underlying volatility versus the market implied volatility surface. An approximately optimal strategy is derived in closed form, where the optimal bid and ask levels depend on the expected volatility arbitrage profits associated with the quoted options. We demonstrate how risk control over customised factors can be incorporated within the trading algorithm, which in turn can improve the resilience of the market making strategy against unexpected movements of the implied volatility surface

Publication Details

Journal
UCL Discovery (University College London)
Published
2025-02-20
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
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article

Option market-making and vol arbitrage. The agent’s view is factored in to a realised-vs-implied vol model

UCL Discovery (University College London)
Antibiotic Resistance in Bacteria
article

Option market-making and vol arbitrage. The agent’s view is factored in to a realised-vs-implied vol model

article en

Abstract

We introduce a market making model of options which can encompass the trader’s view on the underlying volatility versus the market implied volatility surface. An approximately optimal strategy is derived in closed form, where the optimal bid and ask levels depend on the expected volatility arbitrage profits associated with the quoted options. We demonstrate how risk control over customised factors can be incorporated within the trading algorithm, which in turn can improve the resilience of the market making strategy against unexpected movements of the implied volatility surface

UCL Discovery (University College London)
Openalex Percentile: Top 57%
Antibiotic Resistance in Bacteria
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Option market-making and vol arbitrage. The agent’s view is factored in to a realised-vs-implied vol model · UCL Discovery (University College London) (2025) | TGRS Research Map | TGRS