Long memory time series and short term forecasts

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Long memory time series and short term forecasts

Author Info

Man, K. S.

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Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 19 (2003)
Issue (Month): 3 ()
Pages: 477-491
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:eee:intfor:v:19:y:2003:i:3:p:477-491

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(explanations, 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.)

Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2005. "Roughing it Up: Including Jump Components in the Measurement, Modeling and Forecasting of Return Volatility," NBER Working Papers 11775, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
Other versions:
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling and Forecasting of Return Volatility," CREATES Research Papers 2007-18, School of Economics and Management, University of Aarhus. [Downloadable!]
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, 04. [Downloadable!] (restricted)
Reinaldo Castro de Souza & Jeremy Smith & Leonardo Rocha Souza, 2003. "Convex Combinations of Long Memory Estimates from Different Sampling Rates," Economics Working Papers (Ensaios Economicos da EPGE) 489, Graduate School of Economics, Getulio Vargas Foundation (Brazil). [Downloadable!]
Other versions:
- Leonardo Souza & Jeremy Smith & Reinaldo Souza, 2006. "Convex combinations of long memory estimates from different sampling rates," Computational Statistics, Springer, vol. 21(3), pages 399-413, December. [Downloadable!] (restricted)
John W. Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Working Papers 07-1, Bank of Canada. [Downloadable!]
Torben G. Andersen & Tim Bollerslev & Francis X. Diebold,, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," CFS Working Paper Series 2003/35, Center for Financial Studies. [Downloadable!]
Other versions:
- Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," PIER Working Paper Archive 03-025, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 01 Sep 2003. [Downloadable!]
Lux, Thomas & Kaizoji, Taisei, 2004. "Forecasting Volatility and Volume in the Tokyo Stock Market : The Advantage of Long Memory Models," Economics working papers 2004,05, Christian-Albrechts-University of Kiel, Department of Economics. [Downloadable!]
Lux, Thomas & Kaizoji, Taisei, 2006. "Forecasting volatility and volume in the Tokyo stock market : long memory, fractality and regime switching," Economics working papers 2006,13, Christian-Albrechts-University of Kiel, Department of Economics. [Downloadable!]
Other versions:
- Lux, Thomas & Kaizoji, Taisei, 2007. "Forecasting volatility and volume in the Tokyo Stock Market: Long memory, fractality and regime switching," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1808-1843, June. [Downloadable!] (restricted)

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