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Original Articles

k -Factor GARMA models for intraday volatility forecasting

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Pages 251-254 | Published online: 06 Oct 2010

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Silvano Bordignon, Massimiliano Caporin & Francesco Lisi. (2008) Periodic Long-Memory GARCH Models. Econometric Reviews 28:1-3, pages 60-82.
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Articles from other publishers (8)

Tommaso Proietti & Federico Maddanu. (2022) Modelling cycles in climate series: The fractional sinusoidal waveform process. Journal of Econometrics, pages 105299.
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Christian Leschinski & Philipp Sibbertsen. (2019) Model order selection in periodic long memory models. Econometrics and Statistics 9, pages 78-94.
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Tucker S. McElroy & Scott H. Holan. (2016) Computation of the autocovariances for time series with multiple long-range persistencies. Computational Statistics & Data Analysis 101, pages 44-56.
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G.S. Dissanayake, M.S. Peiris & T. Proietti. (2016) State space modeling of Gegenbauer processes with long memory. Computational Statistics & Data Analysis 100, pages 115-130.
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Guglielmo Maria Caporale & Luis Gil-Alana. (2014) Long-Run and Cyclical Dynamics in the US Stock Market. Journal of Forecasting 33:2, pages 147-161.
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Alex Gonzaga & Michael Hauser. (2010) A wavelet Whittle estimator of generalized long-memory stochastic volatility. Statistical Methods & Applications 20:1, pages 23-48.
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Silvano Bordignon, Massimiliano Caporin & Francesco Lisi. (2007) Generalised long-memory GARCH models for intra-daily volatility. Computational Statistics & Data Analysis 51:12, pages 5900-5912.
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Tommaso Proietti & Federico Maddanu. (2021) Modelling Cycles in Climate Series: The Fractional Sinusoidal Waveform Process. SSRN Electronic Journal.
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