A new index for electricity spot markets
Different indexes are used in electricity markets worldwide to represent the daily behavior of spot prices. However, the peculiarities of these markets require a careful choice of the index, based on mathematical formulation and its statistical properties. Choosing a bad index may influence the financial policies of market players, since derivative pricing and hedging performance can be deeply affected. In this paper with an initial theoretical analysis, we intend to show that the most widely used indexes (simple arithmetic average and weighted average with current volumes) are poor representatives of the spot market. We will then perform an analysis of the hedging strategy on a derivative instrument (an Asian option) written on a reference index. The resulting simulations, applied to OMEL (Spain) and EEX (Germany), are sufficiently clear cut to suggest that the decision to adopt an index to represent properly a market must be taken very carefully. Finally we will propose a new index (FAST index) and, after comparing it with the previous indexes, will show that both theoretically and practically this index can be taken as a good electricity market synthetic indicator.
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
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.:
- Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000.
"The generalised dynamic factor model: identification and estimation,"
ULB Institutional Repository
2013/10143, ULB -- Universite Libre de Bruxelles.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999. "The Generalized Dynamic Factor Model: Identification and Estimation," CEPR Discussion Papers 2338, C.E.P.R. Discussion Papers.
- Catherine D. Wolfram, 1999. "Measuring Duopoly Power in the British Electricity Spot Market," American Economic Review, American Economic Association, vol. 89(4), pages 805-826, September.
- Geman, Hélyette & Roncoroni, Andrea, 2003. "A Class of Marked Point Processes for Modelling Electricity Prices," ESSEC Working Papers DR 03004, ESSEC Research Center, ESSEC Business School.
- Natalia Fabra & Juan Toro, 2001.
"Price Wars and Collusion in the Spanish Electricity Market,"
Economic Working Papers at Centro de Estudios Andaluces
E2001/05, Centro de Estudios Andaluces.
- Fabra, Natalia & Toro, Juan, 2005. "Price wars and collusion in the Spanish electricity market," International Journal of Industrial Organization, Elsevier, vol. 23(3-4), pages 155-181, April.
- Natalia Fabra & Juan Toro, 2002. "Price Wars and Collusion in the Spanish Electricity Market," Industrial Organization 0212001, EconWPA, revised 31 Aug 2003.
- Juan Toro & Natalia Fabra, 2002. "Price Wars and Collusion in the Spanish Electricity Market," Economics Series Working Papers 136, University of Oxford, Department of Economics.
- Mello, Antonio S & Parsons, John E, 2000. "Hedging and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 127-53.
- Fattore, Marco, 2010.
"Axiomatic properties of geo-logarithmic price indices,"
Journal of Econometrics,
Elsevier, vol. 156(2), pages 344-353, June.
- Marco Fattore, 2007. "Axiomatic properties of geo-logarithmic price indexes," Working Papers 20071103, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica.
- repec:cup:cbooks:9780521889070 is not listed on IDEAS
- Deng, S.J. & Oren, S.S., 2006. "Electricity derivatives and risk management," Energy, Elsevier, vol. 31(6), pages 940-953.
When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:38:y:2010:i:6:p:2739-2750. 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: (Zhang, Lei)
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.