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		<title>Pole–zero plot</title>
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		<summary type="html">&lt;p&gt;82.75.188.79: /* Continuous-time systems */&lt;/p&gt;
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&lt;div&gt;In [[finance]], &#039;&#039;&#039;tracking error&#039;&#039;&#039; is a measure of how closely a portfolio follows the index to which it is benchmarked. The best measure is the [[root-mean-square]] of the difference between the portfolio and index returns.&lt;br /&gt;
&lt;br /&gt;
Many portfolios are managed to a benchmark, typically an index. Some portfolios are expected to replicate, before trading and other costs, the returns of an index exactly (e.g., an [[index fund]]), while others are expected to &#039;actively manage&#039; the portfolio by deviating slightly from the index in order to generate [[active return]]s. Tracking error (also called [[active risk]]) is a measure of the deviation from the benchmark; the aforementioned index fund would have a tracking error close to zero, while an actively managed portfolio would normally have a higher tracking error. Dividing portfolio active return by portfolio tracking error gives the [[information ratio]], which is a risk adjusted performance measure.&lt;br /&gt;
&lt;br /&gt;
==Definition==&lt;br /&gt;
If tracking error is measured historically, it is called &#039;realized&#039; or &#039;ex post&#039; tracking error. If a model is used to predict tracking error, it is called &#039;ex ante&#039; tracking error. Ex-post tracking error is more useful for reporting performance, whereas ex-ante tracking error is generally used by portfolio managers to control risk. Various types of ex-ante tracking error models exist, from simple equity models which use [[beta (finance)|beta]] as a primary determinant to more complicated [[factor analysis|multi-factor fixed income models]]. In a factor model of a portfolio, the non-systematic risk (i.e., the standard deviation of the residuals) is called &amp;quot;tracking error&amp;quot; in the investment field. The latter way to compute the tracking error complements the formulas below but results can vary (sometimes by a factor of 2).&lt;br /&gt;
&lt;br /&gt;
===Formulas===&lt;br /&gt;
The ex-post tracking error formula is the [[root mean square]] (RMS) of the active returns,&amp;lt;ref&amp;gt;Grinold, R. and Kahn, R., &amp;quot;Active Portfolio Management&amp;quot;, McGraw-Hill, 1999&amp;lt;/ref&amp;gt; given by:&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;TE = \omega =\sqrt{\operatorname{E}[(r_p -  r_b)^2]}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where &#039;&#039;r&#039;&#039;&amp;lt;sub&amp;gt;p&amp;lt;/sub&amp;gt;&amp;amp;nbsp;&amp;amp;minus;&amp;amp;nbsp;&#039;&#039;r&#039;&#039;&amp;lt;sub&amp;gt;b&amp;lt;/sub&amp;gt; is the active return, i.e., the difference between the portfolio return and the benchmark return.&lt;br /&gt;
&lt;br /&gt;
Nevertheless it is commonly calculated as the [[standard deviation]] of the active returns:&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;TE = \omega =\sqrt{\operatorname{Var}(r_p -  r_b)} = \sqrt{{E}[(r_p-r_b)^2]-({E}[r_p -  r_b])^2}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
which in case of large portfolio deviations would lessen &#039;&#039;TE&#039;&#039; significantly and mislead its original meaning. &lt;br /&gt;
&lt;br /&gt;
A somewhat improbable but illustrative example that shows the fallibility of the standard deviation formula is a series of equal active returns. (In practice, active returns are unstable.) Such a series has 0 standard deviation, i.e., there is no variability or dispersion in the active returns. However, the portfolio is not truly tracking the benchmark; it is, in fact, increasingly diverging from its benchmark.&lt;br /&gt;
&lt;br /&gt;
Even though the second definition in terms of volatility of active returns is sometimes used as the tracking error in an [[information ratio]], it should actually not be used as, for example, a series of equal negative active returns would yield an infinite information ratio while the deviation of the (under-performing, in this example,) portfolio from the benchmark would be substantial. Early papers&amp;lt;ref&amp;gt;e.g., Richard Roll, &amp;quot;A Mean/Variance Analysis of Tracking Error,&amp;quot; Journal of Portfolio Management, 1992&amp;lt;/ref&amp;gt; labeled the concept discussed in this article &#039;tracking error volatility&#039; and are a possible source for the second conception of tracking error; the &#039;volatility&#039; has been excluded in more recent studies.&lt;br /&gt;
&lt;br /&gt;
==Examples==&lt;br /&gt;
* [[Index fund]]s are expected to have minimal tracking errors.&lt;br /&gt;
* [[Inverse exchange-traded fund]]s are designed to perform as the &#039;&#039;inverse&#039;&#039; of an index or other benchmark, and thus reflect tracking errors relative to short positions in the underlying index or benchmark.&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
&lt;br /&gt;
==External links==&lt;br /&gt;
* [http://www.youtube.com/watch?v=A1sB2ynlNrw Tracking Error] - [[YouTube]]&lt;br /&gt;
* [http://monevator.com/2011/01/18/tracking-error-%E2%80%93-a-hidden-cost/ Tracking error: A hidden cost of passive investing]&lt;br /&gt;
* [http://moneyterms.co.uk/tracking-error/ Tracking error]&lt;br /&gt;
&lt;br /&gt;
[[Category:Financial risk]]&lt;/div&gt;</summary>
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