Stochastic price modeling of high volatility, mean-reverting, spike-prone commodities: The Australian wholesale spot electricity market
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| Title | Stochastic price modeling of high volatility, mean-reverting, spike-prone commodities: The Australian wholesale spot electricity market |
|---|---|
| Author | Higgs, Helen; Worthington, Andrew Charles |
| Journal Name | Energy Economics |
| Editor | RSJ Tol |
| Year Published | 2008 |
| Place of publication | North Holland, Netherlands |
| Publisher | Elsevier |
| Abstract | It is commonly known that wholesale spot electricity markets exhibit high price volatility, strong mean-reversion and frequent extreme price spikes. This paper employs a basic stochastic model, a mean-reverting model and a regime-switching model to capture these features in the Australian national electricity market (NEM), comprising the interconnected markets of New South Wales, Queensland, South Australia and Victoria. Daily spot prices from 1 January 1999 to 31 December 2004 are employed. The results show that the regime-switching model outperforms the basic stochastic and mean-reverting models. Electricity prices are also found to exhibit stronger mean-reversion after a price spike than in the normal period, and price volatility is more than fourteen times higher in spike periods than in normal periods. The probability of a spike on any given day ranges between 5.16 percent in NSW to 9.44 percent in Victoria. |
| Peer Reviewed | Yes |
| Published | Yes |
| Volume | 30 |
| Issue Number | 6 |
| Page from | 3172 |
| Page to | 3185 |
| ISSN | 0140-9883 |
| Date Accessioned | 2009-01-16 |
| Date Available | 2009-04-17T07:10:31Z |
| Language | en_AU |
| Research Centre | Griffith Asia Institute |
| Faculty | Griffith Business School |
| Subject | Stochastic Analysis and Modelling; Time-Series Analysis |
| URI | http://hdl.handle.net/10072/22289 |
| Publication Type | Journal Articles (Refereed Article) |
| Publication Type Code | c1 |
Please use this identifier to cite this record: http://hdl.handle.net/10072/22289
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