Incorporating Risk and Expected Returns: Solving for Portfolio Curve and Range

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SUMMARY

This discussion focuses on constructing a risky portfolio P from two uncorrelated securities, S1 and S2, with expected returns E(R1) = 0.05 and E(R2) = 0.1, and variances s12 = 1 and s22 = 2. The portfolio variance is expressed as sp2 = x12s12 + x22s22, with the constraint x1 + x2 = 1 and x1, x2 > 0. The derived portfolio curve is given by sp2 = 1200E(Rp)² - 160E(Rp) + 6, and the range of expected returns E(Rp) must be determined based on the constraints of the portfolio weights.

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Homework Statement



A risky portfolio P is to be formed from securities S1 and S2 where the expected returns
are E(R1) = 0:05 and E(R2) = 0:1, the variances are s122 = 1 and s22 = 2 and S1 and S2 are uncorrelated. Suppose no short selling is allowed so that

P= x1S1 + x2S2, x1 + x2 = 1 x1,x1>0

Show that all portfolios P lie on the curve

sp2 =1200E(Rp )2 - 160E(Rp ) + 6

state the range of E(Rp)

Homework Equations



sp2 = x12s12 +x22s22

The Attempt at a Solution



As S1 and S2 are uncorrelated the covariance is equal to 0

So far I've subbed x2 = (1 - x2) into the above equation and solved but I'm unsure what to do from here
 
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I'm not a portfolio theorist, but my guess is that you must use the fact that the variance of a random variable is related to it's mean. The variance of [itex]X[/itex] is the expected value of [itex]X^2[/itex] minus the square of the mean of [itex]X[/itex].
 

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