EconPapers    
Economics at your fingertips  
 

A k- factor GIGARCH process: estimation and application to electricity market spot prices

Dominique Guegan (), Abdou Ka Diongue and Bertrand Vignal
Additional contact information
Dominique Guegan: IDHE - Institutions et Dynamiques Historiques de l'Economie - ENS Cachan - École normale supérieure - Cachan - UP1 - Université Paris 1 Panthéon-Sorbonne - UP8 - Université Paris 8 Vincennes-Saint-Denis - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique
Bertrand Vignal: EDF - EDF

Post-Print from HAL

Abstract: Some crucial time series of market data, such as electricity spot prices, exhibit long memory, in the sense of slowly-decaying correlations combined with heteroscedasticity. To e able to model such a behaviour, we consider the k-factor GIGARCH process and we propose two methods to address the related parameter estimation problem. For each method, we develop the asymptotic theory for this estimation.

Keywords: GIGARCH process; estimation theory; Electricity spot prices.; Electricity spot prices (search for similar items in EconPapers)
Date: 2004-07
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00188533
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Published in Probabilistic methods applied to power systems, Jul 2004, United States. pp.1 - 7

Downloads: (external link)
https://shs.hal.science/halshs-00188533/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00188533

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:journl:halshs-00188533