Parameter estimation of structural commodity price models
Perez, Tristan, Goodwin, Graham C., & Godoy, Boris (2009) Parameter estimation of structural commodity price models. In Walter, Eric (Ed.) 15th IFAC Symposium on System Identification, 2009, International Federation of Automatic Control (IFAC), Saint-Malo, France , pp. 1429-1434.
Commodity price modeling is normally approached in terms of structural time-series models, in which the different components (states) have a financial interpretation. The parameters of these models can be estimated using maximum likelihood. This approach results in a non-linear parameter estimation problem and thus a key issue is how to obtain reliable initial estimates. In this paper, we focus on the initial parameter estimation problem for the Schwartz-Smith two-factor model commonly used in asset valuation. We propose the use of a two-step method. The first step considers a univariate model based only on the spot price and uses a transfer function model to obtain initial estimates of the fundamental parameters. The second step uses the estimates obtained in the first step to initialize a re-parameterized state-space-innovations based estimator, which includes information related to future prices. The second step refines the estimates obtained in the first step and also gives estimates of the remaining parameters in the model. This paper is part tutorial in nature and gives an introduction to aspects of commodity price modeling and the associated parameter estimation problem.
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|Item Type:||Conference Paper|
|Keywords:||Financial models, Regression analysis, Preiction error methods|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2009 International Federation of Automatic Control (IFAC)|
|Deposited On:||19 May 2014 23:13|
|Last Modified:||12 Jun 2014 04:06|
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