The short-term/long-term model proposed by Schwartz and Smith in 2000 is widely used in modeling commodity prices. A key and nontrivial problem in this modeling technique is how to estimate the model parameters. This paper considers the parameter estimation problem based on the maximum likelihood criterion and proposes a method to simplify the task. Two components are contained in the proposed method: one to do with re-parametrization and one to do with separating the parameter set so that one part can be solved directly using least-squares and another part using nonlinear optimization. The effectiveness of the proposed method is demonstrated via numerical tests.
History
Source title
Proceedings of the 2009 7th Asian Control Conference, ASCC 2009
Name of conference
7th Asian Control Conference (ASCC 2009)
Location
Hong Kong
Start date
2009-08-27
End date
2009-08-29
Pagination
396-401
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Place published
Hong Kong
Language
en, English
College/Research Centre
Faculty of Engineering and Built Environment
School
School of Electrical Engineering and Computer Science