A STOCHASTIC OIL PRICE MODEL FOR OPTIMAL HEDGING AND RISK MANAGEMENT
Teemu Pennanen () and
Luciane Sbaraini Bonatto
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Teemu Pennanen: Department of Mathematics, King’s College London, London WC2R 2LS, UK
Luciane Sbaraini Bonatto: Department of Mathematics, King’s College London, London WC2R 2LS, UK
International Journal of Theoretical and Applied Finance (IJTAF), 2022, vol. 25, issue 02, 1-27
Abstract:
In this paper, we develop a stochastic model for future monthly spot prices of the most important crude oils and refined products. The model is easy to calibrate to both historical data and views of a user even in the presence of negative prices which have been observed recently. This makes it particularly useful for risk management and design of optimal hedging strategies in incomplete market situations where perfect hedging may be impossible or prohibitively expensive to implement. We illustrate the model with optimization of hedging strategies for refinery margins in illiquid markets using a portfolio of 12 most liquid derivative contracts with 12 maturities traded on New York Mercantile Exchange (NYMEX) and Intercontinental Exchange (ICE).
Keywords: Oil prices; market risk; stochastic modeling; market incompleteness; optimal hedging; illiquid markets; risk management (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijtafx:v:25:y:2022:i:02:n:s0219024922500091
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DOI: 10.1142/S0219024922500091
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