‘d’ parameter estimation in ARFIMA models

‘d’ parameter estimation in ARFIMA models

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Article ID: iaor20022103
Country: Brazil
Volume: 20
Issue: 1
Start Page Number: 73
End Page Number: 82
Publication Date: Jun 2000
Journal: Pesquisa Operacional
Authors: , ,
Keywords: ARIMA processes
Abstract:

ARFIMA models are characterized by both their long-range dependence and fractional values for the ARIMA model differencing parameter. Stationarity is achieved for d ∈ (−0.5, 0.5) and the long memory appears whether d is positive. This work tests and compares two methodologies for the differencing parameter estimation based on, respectively, Periodogram and Smoothed Periodogram functions. Through synthetic series generated to this purpose, simulations were run to four different ARFIMA structures: (0,d, 0), (1,d, 0), (0,d, 1), (1,d, 1) and four values of d(0,0; 0,10; 0,25 and 0,40).

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