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Fractionally Integrated Time Series Analysis

FDIF Call

obtain a fractionally differenced process

CALL FDIF( out, series, d);

The inputs to the FDIF subroutine are as follows:
series
specifies a time series with n length.

d
specifies a fractional differencing order. This argument is required; the value of d should be in the open interval (-1,1) excluding zero.

The FDIF subroutine returns the following value:
out
is an n vector containing the fractionally differenced process.

Consider an ARFIMA(1,0.3,1) process
(1-0.5B)(1-B)^{0.3}y_t=(1+0.1B){\epsilon}_t
Let zt=(1-B)0.3yt, that is, zt follows an ARMA(1,1). To get the filtered series zt, you can specify
 
   d    = 0.3;  
   phi  = 0.5;
   theta= -0.1;
   call farmasim(yt, d, phi, theta) n=100;
   call fdif(zt, yt, d); 
   print zt;

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