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Original Articles

Commodity volatility modelling and option pricing with a potential function approach

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Pages 91-113 | Published online: 20 Feb 2008

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Articles from other publishers (5)

Matteo Bonato, Oğuzhan Çepni, Rangan Gupta & Christian Pierdzioch. (2022) El Niño, La Niña, and forecastability of the realized variance of agricultural commodity prices: Evidence from a machine learning approach. Journal of Forecasting 42:4, pages 785-801.
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Stavros Degiannakis, George Filis, Tony Klein & Thomas Walther. (2022) Forecasting realized volatility of agricultural commodities. International Journal of Forecasting 38:1, pages 74-96.
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Natalya A. Schenck, Philip A. Horvath & Amit K. Sinha. (2018) Understanding price discovery in interconnected markets: Generalized Langevin process approach and simulation. Physica A: Statistical Mechanics and its Applications 491, pages 741-748.
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Stavros Antonios Degiannakis, George Filis, Tony Klein & Thomas Walther. (2019) Forecasting Realized Volatility of Agricultural Commodities. SSRN Electronic Journal.
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Amir H. Alizadeh & Wayne K. Talley. (2009) Dynamics of the Forward Curve and Volatility of Energy Futures Prices. SSRN Electronic Journal.
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