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February 19, 2026Review of Derivatives Research0 citationsOpen Access

An integrated optimisation model for pricing and hedging oil derivatives

TPTeemu PennanenLBLUCIANE SBARAINI BONATTO

Key Points

  • The central aim is to develop a model for pricing and hedging oil derivatives in incomplete markets considering various trader factors.
  • Developed an integrated optimisation model for pricing and hedging oil derivatives.
  • Conducted numerical experiments to test model features and strategies.
  • Calculated optimal hedge ratios using multiple market quotes instead of single instruments.
  • Analyzed the impacts of trader's risk aversion, views, and inventory on pricing.
  • Optimal hedge ratios using all market quotes significantly enhance hedge effectiveness compared to conventional methods.
  • Indifference prices for spread derivatives are often more competitive than market quotes.
  • The model reveals sensitivity of indifference prices to market-maker's risk aversion and inventory levels.

Abstract

Abstract This paper develops an integrated optimisation model for pricing and hedging oil derivatives in incomplete markets where available market quotes and the trader’s views, inventory and risk aversion may affect the pricing. The model is well suited for practical applications such as the design of optimal cross-hedging strategies and the market-maker problem of pricing derivatives while managing inventory risk in illiquid market conditions. We use numerical experiments to illustrate the model features. First, by computing optimal hedge ratios, we show that the hedge effectiveness of using all available market quotes is significantly higher than that of conventional strategies using only one hedging instrument. Second, we find that the indifference prices of spread derivative contracts are often more competitive than the available market quotes. Third, we study the sensitivities of indifference prices with respect to a market-maker’s risk aversion, views and inventory.

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Cite This Study

Pennanen et al. (2026) studied this question.

synapsesocial.com/papers/6996a898ecb39a600b3ef726https://doi.org/10.1007/s11147-026-09229-8
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