On properties of the second order generalized autoregressive GAR(2) model with index
Author
Abstract
Suggested Citation
DOI: 10.1016/j.matcom.2009.07.007
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Gemai Chen & Bovas Abraham & Shelton Peiris, 1994. "Lag Window Estimation Of The Degree Of Differencing In Fractionally Integrated Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(5), pages 473-487, September.
- Henry L. Gray & Nien‐Fan Zhang & Wayne A. Woodward, 1989. "On Generalized Fractional Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 10(3), pages 233-257, May.
- C. W. J. Granger & Roselyne Joyeux, 1980. "An Introduction To Long‐Memory Time Series Models And Fractional Differencing," Journal of Time Series Analysis, Wiley Blackwell, vol. 1(1), pages 15-29, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Federico Maddanu, 2023. "Forecasting highly persistent time series with bounded spectrum processes," Statistical Papers, Springer, vol. 64(1), pages 285-319, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Dissanayake, G.S. & Peiris, M.S. & Proietti, T., 2016. "State space modeling of Gegenbauer processes with long memory," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 115-130.
- Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
- Erhard Reschenhofer & Manveer K. Mangat, 2021. "Fast computation and practical use of amplitudes at non-Fourier frequencies," Computational Statistics, Springer, vol. 36(3), pages 1755-1773, September.
- Dominique Guegan, 2005.
"How can we Define the Concept of Long Memory? An Econometric Survey,"
Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 113-149.
- Dominique Guegan, 2005. "How can we define the concept of long memory ? An econometric survey," Post-Print halshs-00179343, HAL.
- Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
- Sandro Sapio, 2004.
"Markets Design, Bidding Rules, and Long Memory in Electricity Prices,"
Revue d'Économie Industrielle, Programme National Persée, vol. 107(1), pages 151-170.
- Sandro Sapio, 2004. "Market Design, Bidding Rules, and Long Memory in Electricity Prices," LEM Papers Series 2004/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Paramsothy Silvapulle, 2001.
"A Score Test For Seasonal Fractional Integration And Cointegration,"
Econometric Reviews, Taylor & Francis Journals, vol. 20(1), pages 85-104.
- Param Silvapulle, 1995. "A Score Test for Seasonal Fractional Integration and Cointegration," Econometrics 9506005, University Library of Munich, Germany, revised 16 Jun 1995.
- Silvapulle, P., 1995. "A Score Test for Seasonal Fractional Integration and Cointegration," Working Papers 95-08, University of Iowa, Department of Economics.
- Mtiraoui, Amine & Boubaker, Heni & BelKacem, Lotfi, 2023. "A hybrid approach for forecasting bitcoin series," Research in International Business and Finance, Elsevier, vol. 66(C).
- Dominique Guegan & Laurent Ferrara, 2008.
"Fractional and seasonal filtering,"
PSE-Ecole d'économie de Paris (Postprint)
halshs-00646178, HAL.
- Dominique Guegan & Laurent Ferrara, 2008. "Fractional and seasonal filtering," Post-Print halshs-00646178, HAL.
- Dominique Guegan & Laurent Ferrara, 2008. "Fractional and seasonal filtering," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00646178, HAL.
- Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.
- Ana Pérez & Esther Ruiz, 2002.
"Modelos de memoria larga para series económicas y financieras,"
Investigaciones Economicas, Fundación SEPI, vol. 26(3), pages 395-445, September.
- Pérez, Ana, 2001. "Modelos de memoria larga para series económicas y financieras," DES - Documentos de Trabajo. EstadÃstica y EconometrÃa. DS ds010101, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Soares, Lacir Jorge & Souza, Leonardo Rocha, 2006.
"Forecasting electricity demand using generalized long memory,"
International Journal of Forecasting, Elsevier, vol. 22(1), pages 17-28.
- Soares, Lacir Jorge & Souza, Leonardo Rocha, 2003. "Forecasting electricity demand using generalized long memory," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 486, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
- Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
- Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2023. "Long-Run Trends and Cycles in US House Prices," CESifo Working Paper Series 10751, CESifo.
- Proietti, Tommaso, 2014.
"Exponential Smoothing, Long Memory and Volatility Prediction,"
MPRA Paper
57230, University Library of Munich, Germany.
- Tommaso Proietti, 2015. "Exponential Smoothing, Long Memory and Volatility Prediction," CREATES Research Papers 2015-51, Department of Economics and Business Economics, Aarhus University.
- Tommaso Proietti, 2014. "Exponential Smoothing, Long Memory and Volatility Prediction," CEIS Research Paper 319, Tor Vergata University, CEIS, revised 30 Jul 2014.
- Luis A. Gil-Alana & Juan Carlos Cuestas, 2012.
"A Non-linear Approach with Long Range Dependence based on Chebyshev Polynomials,"
Faculty Working Papers
14/12, School of Economics and Business Administration, University of Navarra.
- Juan Carlos Cuestas & Luis A. Gil-Alana, 2013. "A non-linear approach with long range dependence based on Chebyshev polynomials," Working Papers 13-01, Asociación Española de Economía y Finanzas Internacionales.
- Juan Carlos Cuestas & Luis A. Gil-Alana, 2012. "A Non-Linear Approach with Long Range Dependence Based on Chebyshev Polynomials," Working Papers 2012013, The University of Sheffield, Department of Economics.
- Luis Alberiko Gil-Alaña & Juan C. Cuestas, 2012. "A non-linear approach with long range dependence based on Chebyshev polynomials," NCID Working Papers 11/2012, Navarra Center for International Development, University of Navarra.
- Granger, Clive W. J. & Ding, Zhuanxin, 1996. "Varieties of long memory models," Journal of Econometrics, Elsevier, vol. 73(1), pages 61-77, July.
- Laurent Ferrara & Dominique Guégan, 2008.
"Business surveys modelling with Seasonal-Cyclical Long Memory models,"
Economics Bulletin, AccessEcon, vol. 3(29), pages 1-10.
- Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with seasonal-cyclical long memory models," Documents de travail du Centre d'Economie de la Sorbonne b08035, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00283710, HAL.
- Ferrara, L. & Guégan, D., 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Working papers 224, Banque de France.
- Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00277379, HAL.
- Laurent Ferrara & Dominique Guegan, 2008. "Business surveys modelling with Seasonal-Cyclical Long Memory models," PSE-Ecole d'économie de Paris (Postprint) halshs-00283710, HAL.
- Boubaker, Heni & Sghaier, Nadia, 2015. "Semiparametric generalized long-memory modeling of some mena stock market returns: A wavelet approach," Economic Modelling, Elsevier, vol. 50(C), pages 254-265.
- Collet J.J. & Fadili J.M., 2005. "Simulation of Gegenbauer processes using wavelet packets," School of Economics and Finance Discussion Papers and Working Papers Series 190, School of Economics and Finance, Queensland University of Technology.
More about this item
Keywords
Autoregression; Autocorrelations; Autocovariance; Spectral density; Estimation;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:80:y:2009:i:2:p:367-377. See general information about how to correct material in RePEc.
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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.