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    <title>topic Re: time series stationarity in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/time-series-stationarity/m-p/666771#M199565</link>
    <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Shouldn't the PACF be 1 at 0 ?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would say that the data is stationary as if wasn't the ACF (Edit: or PACF) would be decreasing more slowly.&lt;/P&gt;
&lt;P&gt;Most peaks are not significant and there seems to be some seasonal effect.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Maybe you can try to fit an ARIMA (1,0,0)x(1,0,0)12 and see if the residuals are white noise (no significant peaks).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Those are just my blurry memories from university many years ago. You will probably have more valid answers by posting your question&lt;/P&gt;
&lt;P&gt;on the Forecasting and Econometrics forum :&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics" target="_blank" rel="noopener"&gt;https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/bd-p/forecasting_econometrics&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Edit: For some reason, the link doesn't work. You can find the forum in the Analytics menu.&lt;/P&gt;</description>
    <pubDate>Fri, 03 Jul 2020 10:34:26 GMT</pubDate>
    <dc:creator>gamotte</dc:creator>
    <dc:date>2020-07-03T10:34:26Z</dc:date>
    <item>
      <title>time series stationarity</title>
      <link>https://communities.sas.com/t5/SAS-Programming/time-series-stationarity/m-p/666697#M199522</link>
      <description>&lt;P&gt;Hi!&lt;/P&gt;&lt;P&gt;from ACF and PACF plots, as shown below , the data is stationary or not ? why ?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="esraa1_0-1593701290433.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/46874iE01218B7B03995F1/image-size/medium?v=v2&amp;amp;px=400" role="button" title="esraa1_0-1593701290433.png" alt="esraa1_0-1593701290433.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 02 Jul 2020 20:24:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/time-series-stationarity/m-p/666697#M199522</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-07-02T20:24:27Z</dc:date>
    </item>
    <item>
      <title>Re: time series stationarity</title>
      <link>https://communities.sas.com/t5/SAS-Programming/time-series-stationarity/m-p/666771#M199565</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Shouldn't the PACF be 1 at 0 ?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would say that the data is stationary as if wasn't the ACF (Edit: or PACF) would be decreasing more slowly.&lt;/P&gt;
&lt;P&gt;Most peaks are not significant and there seems to be some seasonal effect.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Maybe you can try to fit an ARIMA (1,0,0)x(1,0,0)12 and see if the residuals are white noise (no significant peaks).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Those are just my blurry memories from university many years ago. You will probably have more valid answers by posting your question&lt;/P&gt;
&lt;P&gt;on the Forecasting and Econometrics forum :&lt;/P&gt;
&lt;P&gt;&lt;A href="https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics" target="_blank" rel="noopener"&gt;https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/bd-p/forecasting_econometrics&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Edit: For some reason, the link doesn't work. You can find the forum in the Analytics menu.&lt;/P&gt;</description>
      <pubDate>Fri, 03 Jul 2020 10:34:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/time-series-stationarity/m-p/666771#M199565</guid>
      <dc:creator>gamotte</dc:creator>
      <dc:date>2020-07-03T10:34:26Z</dc:date>
    </item>
    <item>
      <title>Re: time series stationarity</title>
      <link>https://communities.sas.com/t5/SAS-Programming/time-series-stationarity/m-p/666774#M199566</link>
      <description>&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;thanks,&amp;nbsp;&lt;/P&gt;&lt;P&gt;the table below is the result of dickey fuller test, show that the data&amp;nbsp; not stationary at lag 2.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="esraa1_1-1593773109108.png" style="width: 400px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/46884i1F189BF810B7A81B/image-size/medium?v=v2&amp;amp;px=400" role="button" title="esraa1_1-1593773109108.png" alt="esraa1_1-1593773109108.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 03 Jul 2020 10:47:08 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/time-series-stationarity/m-p/666774#M199566</guid>
      <dc:creator>esraa1</dc:creator>
      <dc:date>2020-07-03T10:47:08Z</dc:date>
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