Subordinated affine structure models for commodity future prices

M. Kateregga


Different from existing filtering methods for models with latent variables, we show that the commodity future price under a one factor model with a subordinated random source driver, can be expressed in terms of the subordinator which can be reduced to the latent regression models commonly used in population dynamics with their parameters estimated using the expectation maximisation method


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