EC 821 : Time Series Econometrics Spring 2003

نویسنده

  • Christopher F Baum
چکیده

2 1 1 =0 | | d t t t p p q q d d k k t () () ()(1) () = () (0) () () (1) (1) = () ())(+ 1) () () 0 5 1. Fractionally integrated timeseries and ARFIMA modelling 1 This presentation of ARFIMA modelling draws heavily from Baum and Wiggins (2000). The model of an autoregressive fractionally integrated moving average process of a timeseries of order , denoted by ARFIMA , with mean , may be written using operator notation as (1.1) where is the backward-shift operator, = 1- ..-, = 1 + + ... + , and is the fractional differencing operator deened by (1.2) with () denoting the gamma (generalized factorial) function. The parameter is allowed to assume any real value. The arbitrary restriction of to integer values gives rise to the standard autoregressive integrated moving average (ARIMA) model. The stochastic process is both stationary and invertible if all roots of and lie outside the unit circle and. The process

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تاریخ انتشار 2003