A stationary process has long memory if its autocorrelations decay like a power, with , so that they are not summable. Fractional differencing applies with , ; the ARFIMA process is (Granger and Joyeux, 1980; Hosking, 1981). The Hurst exponent is , measured by the growth of ranges or variances of partial sums like (Hurst, 1951).
Quantitative Finance · Glossaire
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Aussi appelé : long memory · fractional differencing · Hurst exponent