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Infinite variance stable moving averages with long memory

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  • Kokoszka, Piotr S.
  • Taqqu, Murad S.

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  • Kokoszka, Piotr S. & Taqqu, Murad S., 1996. "Infinite variance stable moving averages with long memory," Journal of Econometrics, Elsevier, vol. 73(1), pages 79-99, July.
  • Handle: RePEc:eee:econom:v:73:y:1996:i:1:p:79-99
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    References listed on IDEAS

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    1. Cioczek-Georges, Renata & Taqqu, Murad S., 1994. "How do conditional moments of stable vectors depend on the spectral measure?," Stochastic Processes and their Applications, Elsevier, vol. 54(1), pages 95-111, November.
    2. Kokoszka, Piotr S. & Taqqu, Murad S., 1995. "Fractional ARIMA with stable innovations," Stochastic Processes and their Applications, Elsevier, vol. 60(1), pages 19-47, November.
    3. Piotr S. Kokoszka & Murad S. Taqqu, 1994. "Infinite Variance Stable Arma Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(2), pages 203-220, March.
    4. Cioczek-Georges, Renata & Taqqu, Murad S., 1995. "Necessary conditions for the existence of conditional moments of stable random variables," Stochastic Processes and their Applications, Elsevier, vol. 56(2), pages 233-246, April.
    5. Samorodnitsky, Gennady & Taqqu, Murad S., 1991. "Conditional moments and linear regression for stable random variables," Stochastic Processes and their Applications, Elsevier, vol. 39(2), pages 183-199, December.
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    Cited by:

    1. Barunik, Jozef & Aste, Tomaso & Di Matteo, T. & Liu, Ruipeng, 2012. "Understanding the source of multifractality in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4234-4251.
    2. Jonathan B. Hill, 2004. "Gaussian Tests of "Extremal White Noise" for Dependent, Heterogeneous, Heavy Tailed Time Series with an Application," Econometrics 0411014, University Library of Munich, Germany, revised 04 Nov 2005.
    3. Stilian Stoev & Murad S. Taqqu, 2005. "Asymptotic self‐similarity and wavelet estimation for long‐range dependent fractional autoregressive integrated moving average time series with stable innovations," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(2), pages 211-249, March.

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