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    <title>topic Garch in SAS Forecasting and Econometrics</title>
    <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Garch/m-p/449491#M3053</link>
    <description>&lt;P&gt;How would I program a Garch in mean model that also has a moving average term?&lt;/P&gt;</description>
    <pubDate>Wed, 28 Mar 2018 20:21:50 GMT</pubDate>
    <dc:creator>kennyip</dc:creator>
    <dc:date>2018-03-28T20:21:50Z</dc:date>
    <item>
      <title>Garch</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Garch/m-p/449491#M3053</link>
      <description>&lt;P&gt;How would I program a Garch in mean model that also has a moving average term?&lt;/P&gt;</description>
      <pubDate>Wed, 28 Mar 2018 20:21:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Garch/m-p/449491#M3053</guid>
      <dc:creator>kennyip</dc:creator>
      <dc:date>2018-03-28T20:21:50Z</dc:date>
    </item>
    <item>
      <title>Re: Garch</title>
      <link>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Garch/m-p/449769#M3054</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I assume the MA term is to be specified in the model for the mean.&amp;nbsp; If my assumption is correct, then you might want to consider using PROC MODEL.&amp;nbsp; An example of a GARCH-in-mean model specified in&amp;nbsp;PROC MODEL can be found at the following link:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://support.sas.com/kb/60/808.html#ets_webex.garchex.garchm" target="_self"&gt;http://support.sas.com/kb/60/808.html#ets_webex.garchex.garchm&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;PROC MODEL also supports a %MA macro, which&amp;nbsp;can be used to model an MA error process.&amp;nbsp; For more details on fitting a moving average model in PROC MODEL, please see the following documentation link:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://go.documentation.sas.com/?docsetId=etsug&amp;amp;docsetTarget=etsug_model_sect153.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en#etsug_model012025" target="_self"&gt;http://go.documentation.sas.com/?docsetId=etsug&amp;amp;docsetTarget=etsug_model_sect153.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en#etsug_model012025&lt;/A&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;PROC AUTOREG might be another alternative for you to consider.&amp;nbsp; The first link above includes an example of fitting a GARCH-in-mean model in PROC AUTOREG.&amp;nbsp; The NLAG= option on the MODEL statement in PROC AUTOREG&amp;nbsp;is used to specify an autoregressive error process.&amp;nbsp; The autoregressive error model is an MA(infinite) model as shown below:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;y_t = x_t*beta + u_t = x_t*beta + (I-Phi*L)^(-1)*eps_t&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You would need to determine the appropriate NLAG= value, since you are using an MA(infinite) to mimic an MA(q), where MA(infinite) is the inverse of AR(NLAG).&amp;nbsp; More details on PROC AUTOREG can be found at the following documentation link:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="http://go.documentation.sas.com/?docsetId=etsug&amp;amp;docsetTarget=etsug_autoreg_toc.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en" target="_self"&gt;http://go.documentation.sas.com/?docsetId=etsug&amp;amp;docsetTarget=etsug_autoreg_toc.htm&amp;amp;docsetVersion=14.3&amp;amp;locale=en&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this helps!&lt;/P&gt;
&lt;P&gt;DW&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 29 Mar 2018 20:27:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/Garch/m-p/449769#M3054</guid>
      <dc:creator>dw_sas</dc:creator>
      <dc:date>2018-03-29T20:27:17Z</dc:date>
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