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Analytic formulas for futures and options for a linear quadratic jump diffusion model with seasonal stochastic volatility and convenience yield: Do fish jump?

Christian-Oliver Ewald and Yihan Zou

European Journal of Operational Research, 2021, vol. 294, issue 2, 801-815

Abstract: In this article we derive tractable analytic solutions for futures and options prices for a linear-quadratic jump-diffusion model with seasonal adjustments in stochastic volatility and convenience yield. We then calibrate our model to data from the fish pool futures market, using the extended Kalman filter and a quasi-maximum likelihood estimator and alternatively using an implied-state quasi-maximum likelihood estimator. We find no statistical evidence of jumps. However, we do find evidence for positive correlation between salmon spot prices and volatility, seasonality in volatility and convenience yield. In addition we observe a positive relationship between seasonal risk premium and uncertainty of EU salmon demand. We further show that our model produces option prices that are conform with the observation of implied volatility smiles and skews. Our work connects to a number of results that have recently appeared in the Operations Research literature.

Keywords: Finance; Derivatives; Jump-Diffusion models; Kalman filter; Quasi-Maximum likelihood (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:294:y:2021:i:2:p:801-815

DOI: 10.1016/j.ejor.2021.02.004

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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