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Inference for Markov-regime switching models of electricity spot prices

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  • Joanna Janczura
  • Rafal Weron

Abstract

In the last decade Markov-regime switching (MRS) models have been extensively used for modeling the unique behavior of spot prices in wholesale electricity markets. This popularity stems from the models’ relative parsimony and the ability to capture the stylized facts, in particular the mean reverting character of electricity spot prices, the regime changes implied by fundamentals and the resulting extreme price spikes. Due to the unobservable switching mechanism, the estimation of MRS models requires inferring model parameters and state process values at the same time. The situation becomes more complicated when the individual regimes are independent from each other and at least one of them is mean-reverting. Statistical validation of such models is also non-trivial. In this paper we review the available techniques and suggest efficient tools for statistical inference of MRS models.

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File URL: http://www.im.pwr.wroc.pl/~hugo/RePEc/wuu/wpaper/HSC_12_01.pdf
File Function: Original version, 2012
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Bibliographic Info

Paper provided by Hugo Steinhaus Center, Wroclaw University of Technology in its series HSC Research Reports with number HSC/12/01.

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Length: 26 pages
Date of creation: 2012
Date of revision:
Handle: RePEc:wuu:wpaper:hsc1201

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Keywords: Markov regime-switching; Energy economics; Electricity spot price; EM algorithm; Independent regimes; Goodness-of-fit;

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References

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Cited by:
  1. Janczura, Joanna & Weron, Rafal, 2010. "An empirical comparison of alternate regime-switching models or electricity spot prices," MPRA Paper 20546, University Library of Munich, Germany.

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