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	<title>Traders Log &#187; Quantitative Definitions</title>
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	<link>http://www.traderslog.com</link>
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		<title>Z Score</title>
		<link>http://www.traderslog.com/z-score/</link>
		<comments>http://www.traderslog.com/z-score/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 18:10:37 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>

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		<description><![CDATA[<p>Z Score is a statistical measure that shows how many units of the standard deviation a case is above or below the mean of a data set.
</p>]]></description>
			<content:encoded><![CDATA[<p>Z Score is a statistical measure that shows how many units of the standard deviation a case is above or below the mean of a data set.
</p>]]></content:encoded>
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		<title>Outlier</title>
		<link>http://www.traderslog.com/outlier/</link>
		<comments>http://www.traderslog.com/outlier/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 18:04:36 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>
		<category><![CDATA[Technical Analysis Definitions]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/outlier/</guid>
		<description><![CDATA[<p>An outlier is a price data point that lies far away from the trendline.
See also: Moving Averages
</p>]]></description>
			<content:encoded><![CDATA[<p>An outlier is a price data point that lies far away from the trendline.
See also: Moving Averages
</p>]]></content:encoded>
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		<title>Normal Distribution</title>
		<link>http://www.traderslog.com/normal-distribution/</link>
		<comments>http://www.traderslog.com/normal-distribution/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 17:43:57 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>
		<category><![CDATA[Technical Analysis Definitions]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/normal-distribution/</guid>
		<description><![CDATA[<p>Normal distribution describes data set that varies around an average value.
See also: Market Profile, Standard Deviation
</p>]]></description>
			<content:encoded><![CDATA[<p>Normal distribution describes data set that varies around an average value.
See also: Market Profile, Standard Deviation
</p>]]></content:encoded>
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		<item>
		<title>Capital Asset Pricing Model &#8211; CAPM</title>
		<link>http://www.traderslog.com/capital-asset-pricing-model-capm/</link>
		<comments>http://www.traderslog.com/capital-asset-pricing-model-capm/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 17:37:31 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/capital-asset-pricing-model-capm/</guid>
		<description><![CDATA[<p>The Capital Asset Pricing Model expresses the level of return an investor can expect relative to the amount of risk being assumed. The CAPM formula takes into account the time for which an investment is held and the amount of risk carried by the investment.
See also: Modern Portfolio Theory (MPT)
</p>]]></description>
			<content:encoded><![CDATA[<p>The Capital Asset Pricing Model expresses the level of return an investor can expect relative to the amount of risk being assumed. The CAPM formula takes into account the time for which an investment is held and the amount of risk carried by the investment.
See also: Modern Portfolio Theory (MPT)
</p>]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<title>Game Theory</title>
		<link>http://www.traderslog.com/game-theory/</link>
		<comments>http://www.traderslog.com/game-theory/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 17:33:14 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/game-theory/</guid>
		<description><![CDATA[<p>Game theory          is an area of applied mathematics and economics examining how entities          behave in strategic situations where participants choose different actions          in order to achieve the best results. Game Theory looks at what others          are likely to do and their likely r</p>]]></description>
			<content:encoded><![CDATA[<p>Game theory          is an area of applied mathematics and economics examining how entities          behave in strategic situations where participants choose different actions          in order to achieve the best results. Game Theory looks at what others          are likely to do and their likely r</p>]]></content:encoded>
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		<title>Monte Carlo Simulation</title>
		<link>http://www.traderslog.com/monte-carlo-simulation/</link>
		<comments>http://www.traderslog.com/monte-carlo-simulation/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 17:23:15 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/monte-carlo-simulation/</guid>
		<description><![CDATA[<p>A method used to estimate a probable outcome using multiple simulations with random variables. In the context of finance, Monte Carlo Simulation is used to forecast the probabilities of different possible outcomes of a trading or investment strategy. Named after the wealthy European city which is al</p>]]></description>
			<content:encoded><![CDATA[<p>A method used to estimate a probable outcome using multiple simulations with random variables. In the context of finance, Monte Carlo Simulation is used to forecast the probabilities of different possible outcomes of a trading or investment strategy. Named after the wealthy European city which is al</p>]]></content:encoded>
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		<slash:comments>0</slash:comments>
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		<item>
		<title>Beta Coefficient</title>
		<link>http://www.traderslog.com/beta-coefficient/</link>
		<comments>http://www.traderslog.com/beta-coefficient/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 17:02:58 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/beta-coefficient/</guid>
		<description><![CDATA[<p>The Beta Coefficient in terms of finance and investing is a measure of the systematic risk of a stock or portfolio. It quantifies relative volatility in relation to the overall market, which is defined as having a beta of 1.0.
A security or portfolio with a Beta value less than 1.0 indicates a lower</p>]]></description>
			<content:encoded><![CDATA[<p>The Beta Coefficient in terms of finance and investing is a measure of the systematic risk of a stock or portfolio. It quantifies relative volatility in relation to the overall market, which is defined as having a beta of 1.0.
A security or portfolio with a Beta value less than 1.0 indicates a lower</p>]]></content:encoded>
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		<item>
		<title>Linear/Arithmetic Scaling</title>
		<link>http://www.traderslog.com/lineararithmetic-scaling/</link>
		<comments>http://www.traderslog.com/lineararithmetic-scaling/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 16:47:40 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>
		<category><![CDATA[Technical Analysis]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/lineararithmetic-scaling/</guid>
		<description><![CDATA[<p>On          a linear or arithmetic scale chart, the spacing between each point on          the vertical axis is equal. The scale is not averaged out to give          more weight to the lower prices as with Logarithmic/Percentage Scaling.
</p>]]></description>
			<content:encoded><![CDATA[<p>On          a linear or arithmetic scale chart, the spacing between each point on          the vertical axis is equal. The scale is not averaged out to give          more weight to the lower prices as with Logarithmic/Percentage Scaling.
</p>]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Sharpe Ratio</title>
		<link>http://www.traderslog.com/sharpe-ratio/</link>
		<comments>http://www.traderslog.com/sharpe-ratio/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 16:36:29 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>
		<category><![CDATA[Hedge Fund]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/sharpe-ratio/</guid>
		<description><![CDATA[<p>Sharpe Ratio          is a risk adjusted measure of a fund&#8217;s market performance. It measures          a fund&#8217;s average historical return per unit of risk. The higher the number          the better the fund has performed. This performance measure was developed          by William F. Sharp</p>]]></description>
			<content:encoded><![CDATA[<p>Sharpe Ratio          is a risk adjusted measure of a fund&#8217;s market performance. It measures          a fund&#8217;s average historical return per unit of risk. The higher the number          the better the fund has performed. This performance measure was developed          by William F. Sharp</p>]]></content:encoded>
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		<slash:comments>0</slash:comments>
		</item>
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		<title>Alpha Equation</title>
		<link>http://www.traderslog.com/alpha-equation/</link>
		<comments>http://www.traderslog.com/alpha-equation/#comments</comments>
		<pubDate>Mon, 28 Sep 2009 16:29:54 +0000</pubDate>
		<dc:creator>TradersLog</dc:creator>
				<category><![CDATA[Definitions]]></category>
		<category><![CDATA[Quantitative Definitions]]></category>
		<category><![CDATA[Hedge Fund]]></category>

		<guid isPermaLink="false">http://qs2506.traderslog.com/2009/09/28/alpha-equation/</guid>
		<description><![CDATA[<p>The alpha equation of a fund is as follows:
[ (sum of          y) -((b)(sum of x)) ] / n
where: n          =number of observations (36-60 months)
b = beta          of the fund
x = rate          of return for the S&amp;P 500, or another benchmark index
y = rate          of return for the fund
</p>]]></description>
			<content:encoded><![CDATA[<p>The alpha equation of a fund is as follows:
[ (sum of          y) -((b)(sum of x)) ] / n
where: n          =number of observations (36-60 months)
b = beta          of the fund
x = rate          of return for the S&amp;P 500, or another benchmark index
y = rate          of return for the fund
</p>]]></content:encoded>
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