Markov Chain Monte Carlo Estimation of a Multi-Factor Jump Diffusion Model for Power Prices
(2008) In Journal of Energy Markets 1(4). p.65-90- Abstract
- In this paper we generalize the electricity spot price model of Lucia and Schwartz by a two-factor model with jumps and stochastic volatility. We estimate the model on daily spot price data from the Nordic market using an approach that combines traditional statistical methods with a Markov chain Monte Carlo algorithm. Results show that the model captures most of the trajectorial and the statistical characteristics of the electricity spot price. Further, we find that the inclusion of stochastic volatility is crucial to separate spikes from the normal price process. Moreover, we estimate that the correlation between the spot price and its stochastic volatility is negative.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2203823
- author
- Green, Rikard LU and Nossman, Marcus LU
- organization
- publishing date
- 2008
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- stochastic volatility, spot price, electricity markets, spikes
- in
- Journal of Energy Markets
- volume
- 1
- issue
- 4
- pages
- 65 - 90
- publisher
- Incisive Media
- ISSN
- 1756-3615
- language
- English
- LU publication?
- yes
- id
- c68f7f52-b5d0-41f3-9274-edb19993c320 (old id 2203823)
- date added to LUP
- 2016-04-01 12:58:53
- date last changed
- 2018-11-21 20:11:00
@article{c68f7f52-b5d0-41f3-9274-edb19993c320, abstract = {{In this paper we generalize the electricity spot price model of Lucia and Schwartz by a two-factor model with jumps and stochastic volatility. We estimate the model on daily spot price data from the Nordic market using an approach that combines traditional statistical methods with a Markov chain Monte Carlo algorithm. Results show that the model captures most of the trajectorial and the statistical characteristics of the electricity spot price. Further, we find that the inclusion of stochastic volatility is crucial to separate spikes from the normal price process. Moreover, we estimate that the correlation between the spot price and its stochastic volatility is negative.}}, author = {{Green, Rikard and Nossman, Marcus}}, issn = {{1756-3615}}, keywords = {{stochastic volatility; spot price; electricity markets; spikes}}, language = {{eng}}, number = {{4}}, pages = {{65--90}}, publisher = {{Incisive Media}}, series = {{Journal of Energy Markets}}, title = {{Markov Chain Monte Carlo Estimation of a Multi-Factor Jump Diffusion Model for Power Prices}}, volume = {{1}}, year = {{2008}}, }