http://www.arthapedia.in/index.php?title=Seasonality&feed=atom&action=historySeasonality - Revision history2024-03-28T13:34:42ZRevision history for this page on the arthapediaMediaWiki 1.17.0http://www.arthapedia.in/index.php?title=Seasonality&diff=2047&oldid=prevArthapedia: /* Contributed by */2015-04-10T05:32:44Z<p><span class="autocomment">Contributed by</span></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [http://www.ies.gov.in/myaccount-profile-view.php?memid=374 Shweta, IES(2008)]</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [http://www.ies.gov.in/myaccount-profile-view.php?memid=374 Shweta, IES(2008)]</div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>[[Category:concepts|Seasonality]]</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>[[Category:concepts|Seasonality]]</div></td></tr>
</table>Arthapediahttp://www.arthapedia.in/index.php?title=Seasonality&diff=909&oldid=prevArthapedia at 12:24, 3 October 20112011-10-03T12:24:39Z<p></p>
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</table>Arthapediahttp://www.arthapedia.in/index.php?title=Seasonality&diff=210&oldid=prevArthapedia at 09:38, 19 August 20112011-08-19T09:38:28Z<p></p>
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</table>Arthapediahttp://www.arthapedia.in/index.php?title=Seasonality&diff=193&oldid=prevArthapedia at 05:33, 19 August 20112011-08-19T05:33:21Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [http://www.ies.gov.in/myaccount-profile-view.php?memid=374 Shweta, IES(2008)]</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [http://www.ies.gov.in/myaccount-profile-view.php?memid=374 Shweta, IES(2008)]</div></td></tr>
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</table>Arthapediahttp://www.arthapedia.in/index.php?title=Seasonality&diff=166&oldid=prevArthapedia at 01:14, 19 August 20112011-08-19T01:14:35Z<p></p>
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</table>Arthapediahttp://www.arthapedia.in/index.php?title=Seasonality&diff=68&oldid=prevR.shweta3: Created page with "<p>Certain economic variables show a distinct pattern in their movement over a year. For instance, prices of vegetables will fall in winter season every year, sales will pick u..."2011-08-16T02:22:08Z<p>Created page with "<p>Certain economic variables show a distinct pattern in their movement over a year. For instance, prices of vegetables will fall in winter season every year, sales will pick u..."</p>
<p><b>New concept</b></p><div><p>Certain economic variables show a distinct pattern in their movement over a <br />
year. For instance, prices of vegetables will fall in winter season every year, <br />
sales will pick up in Christmas, diwali or any other festival season. These <br />
patterns, in general, can be decomposed into trend, cyclical and seasonal <br />
patterns. If any economic variable follows regular and predictable changes which <br />
persist every calendar year in a particular month or duration of months, then <br />
this type of pattern is known as seasonal pattern. The presence of such pattern <br />
is known as seasonality in time series. These are often short term, stable and <br />
predictable change that repeats over a one-year period.</p><br />
<p>The presence of seasonality in the economic variable can sometimes make it <br />
difficult to (a) identify the exact nature of the phenomenon represented by the <br />
sequence of observations, and (b) make any forecasts (i.e., predicting the <br />
future values of the economic variable). As such, it becomes imperative that the <br />
time series (i.e., the data of any economic variable over a certain period of <br />
years) is made free from any seasonality bias in the data. The process of <br />
removing this bias in the data is known as de-seasonalisation.</p><br />
<p>There are several econometric tools available to detect seasonality. <br />
Sometimes even a simple scatter plot can easily predict the existence of <br />
seasonal factors. On the other hand, ARIMA 12 (developed by census bureau of <br />
US), Census XI and Ratio to Moving Average are some of the methods by which <br />
seasonality factor can easily be removed from the series. In India, the Reserve <br />
Bank of India (RBI), releases every year in the month of September, seasonal <br />
factors for some of the important items, which are very helpful in de-seasonalising <br />
WPI and IIP series.</p><br />
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==Contributed by==<br />
* [Shweta, IES(2008)]</div>R.shweta3