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A prospective study of the k-factor Gegenbauer processes with heteroscedastic errors and an application to inflation rates Author info | Abstract | Publisher info | Download info | Related research | Statistics Dominique Guegan () (IDHE - Institutions et Dynamiques Historiques de l'Economie - CNRS : UMR8533 - Université Panthéon-Sorbonne - Paris I - Université Paris VIII Vincennes-Saint Denis - Université de Paris X - Nanterre - Ecole Normale Supérieure de Cachan)
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We investigate some statistical properties of the new k-factor Gegenbauer process with heteroscedastic noises One of the goals of the paper is to give tools which permit to use this model to explain the behaviour of certain data sets in finance and in macroeconomics. Monte Carlo experiments are provided to calibrate the theoretical properties. Applications on consumer price indexes and inflation rates are done;
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Date of creation: 2003Date of revision:
Publication status: Published, Finance India, 2003, XVII, 1, 165 - 197Handle: RePEc:hal:journl:halshs-00201314_v1Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00201314/en/Contact details of provider: Web page: http://hal.archives-ouvertes.fr/
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Keywords: GIGARCH process – estimation theory – Inflation rates – prices indexes. ; Other versions of this item:
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Laurent Ferrara & Dominique Guegan, 2008.
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"Business surveys modelling with Seasonal-Cyclical Long Memory models ,"
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"The Stationary Seasonal Hyperbolic Asymmetric Power ARCH model ,"
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"La persistance dans les marchés financiers ,"
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"Fractional seasonality: Models and Application to Economic Activity in the Euro Area ,"
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Gilles Dufrénot & Dominique Guegan & Anne Peguin-Feissolle, 2005.
"Modelling squared returns using a SETAR model with long-memory dynamics ,"
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halshs-00179285_v1, HAL.
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Other versions: Diongue Abdou Ka & Dominique Guegan, 2008.
"Estimation of k-Factor Gigarch Process: A Monte Carlo Study ,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
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