IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Are Daily and Weekly Load and Spot Price Dynamics in Australia’s National Electricity Market Governed by Episodic Nonlinearity?

In this article, we use half hourly spot electricity prices and load data for the National Electricity Market (NEM) of Australia for the period from December 1998 to February 2008 to test for episodic nonlinearity in the dynamics governing daily and weekly cycles in load and spot price time series data. We apply the portmanteau correlation, bicorrelation and tricorrelation tests introduced in Hinich (1996) to the time series of half hourly spot prices and load demand from 7/12/1998 to 29/02/2008 using a FORTRAN 95 program. We find the presence of significant third and fourth order (non-linear) serial dependence in the weekly load and spot price data in particular, but to a much more marginal extent, in the daily data.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.uq.edu.au/economics/abstract/368.pdf
Download Restriction: no

Paper provided by School of Economics, University of Queensland, Australia in its series Discussion Papers Series with number 368.

as
in new window

Length:
Date of creation: 2008
Date of revision:
Handle: RePEc:qld:uq2004:368
Contact details of provider: Postal: St. Lucia, Qld. 4072
Phone: +61 7 3365 6570
Fax: +61 7 3365 7299
Web page: http://www.uq.edu.au/economics/Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. John Foster & Melvin J. Hinich & Phillip Wild, 2008. "Randomly Modulated Periodic Signals in Australias National Electricity Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 105-130.
  2. Ammermann, Peter A. & Patterson, Douglas M., 2003. "The cross-sectional and cross-temporal universality of nonlinear serial dependencies: Evidence from world stock indices and the Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 11(2), pages 175-195, April.
  3. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  4. Hinich, Melvin A. & Wild, Phillip, 2001. "Testing Time-Series Stationarity Against An Alternative Whose Mean Is Periodic," Macroeconomic Dynamics, Cambridge University Press, vol. 5(03), pages 380-412, June.
  5. Claudio Bonilla & Rafael Romero-Meza & Melvin Hinich, 2007. "GARCH inadequacy for modelling exchange rates: empirical evidence from Latin America," Applied Economics, Taylor & Francis Journals, vol. 39(19), pages 2529-2533.
  6. repec:ebl:ecbull:v:7:y:2005:i:6:p:1-5 is not listed on IDEAS
  7. repec:ebl:ecbull:v:7:y:2005:i:1:p:1-6 is not listed on IDEAS
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:qld:uq2004:368. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SOE IT)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.