Difference between revisions of "SOCR EduMaterials Activities ApplicationsActivities Portfolio"

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== Portfolio theory ==
 
== Portfolio theory ==
  
An investor has a certain amount of dollars to invest into two stocks (<math>IBM</math>I and $<math>TEXACO</math>.  A portion of the available funds will be invested into  
+
An investor has a certain amount of dollars to invest into two stocks (<math>IBM</math> and <math>TEXACO</math>.  A portion of the available funds will be invested into  
 
IBM (denote this portion of the funds with <math>x_A</math> and the remaining funds  
 
IBM (denote this portion of the funds with <math>x_A</math> and the remaining funds  
 
into TEXACO (denote it with <math>x_B</math>) - so <math>x_A+x_B=1$</math>.  The resulting portfolio  
 
into TEXACO (denote it with <math>x_B</math>) - so <math>x_A+x_B=1$</math>.  The resulting portfolio  
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We first want to minimize the variance of the portfolio.   
 
We first want to minimize the variance of the portfolio.   
 
This will be:
 
This will be:
\begin{eqnarray*}
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 +
<math>
 
\mbox{Minimize} \ \ \mbox{Var}(x_A R_A+x_BR_B) \\
 
\mbox{Minimize} \ \ \mbox{Var}(x_A R_A+x_BR_B) \\
 
\mbox{subject to} \ \ x_A+x_B=1
 
\mbox{subject to} \ \ x_A+x_B=1
\end{eqnarray*}
+
</math>
 +
 
 
<math>Insert formula here</math>
 
<math>Insert formula here</math>
 
<math>Insert formula here</math>
 
<math>Insert formula here</math>

Revision as of 23:30, 2 August 2008

Portfolio theory

An investor has a certain amount of dollars to invest into two stocks (\(IBM\) and \(TEXACO\). A portion of the available funds will be invested into IBM (denote this portion of the funds with \(x_A\) and the remaining funds into TEXACO (denote it with \(x_B\)) - so \(x_A+x_B=1$\). The resulting portfolio will be $x_A R_A+x_B R_B$, where $R_A$ is the monthly return of $IBM$ and $R_B$ is the monthly return of $TEXACO$. The goal here is to find the most efficient portfolios given a certain amount of risk. Using market data from January 1980 until February 2001 we compute that $E(R_A)=0.010$, $E(R_B)=0.013$, $Var(R_A)=0.0061$, $Var(R_B)=0.0046$, and $Cov(R_A,R_B)=0.00062$. \\ We first want to minimize the variance of the portfolio. This will be\[ \mbox{Minimize} \ \ \mbox{Var}(x_A R_A+x_BR_B) \\ \mbox{subject to} \ \ x_A+x_B=1 \]

\(Insert formula here\) \(Insert formula here\)