We read your photo as:

Assuming the target return is 8.0%, what are the weights for Corner Portfolios A (6.0%, 5.0%) and B (9.0%, 10.0%) in a portfolio?

Business/Management

ScanSolve AI Answer

Step-by-step solution

4 steps

To solve this problem, I will make the following assumptions, as the return objective from part (iv) and the characteristics of the corner portfolios were not provided:

  • Chitova's return objective (from part iv): RP=8.0%R_P = 8.0\%
  • Available Corner Portfolios:
    • Corner Portfolio A (CPA): Expected Return (RAR_A) = 6.0%, Standard Deviation (σA\sigma_A) = 5.0%
    • Corner Portfolio B (CPB): Expected Return (RBR_B) = 9.0%, Standard Deviation (σB\sigma_B) = 10.0%
    • Corner Portfolio C (CPC): Expected Return (RCR_C) = 12.0%, Standard Deviation (σC\sigma_C) = 15.0%
  1. Identify the appropriate corner portfolios.

    The target return of 8.0% falls between the expected returns of Corner Portfolio A (6.0%) and Corner Portfolio B (9.0%). Therefore, Chitova will combine CPA and CPB.

  2. Set up equations to determine the weights.

    Let wAw_A be the weight in Corner Portfolio A and wBw_B be the weight in Corner Portfolio B.
    Since there is no short selling, the weights must sum to 1:

    wA+wB=1w_A + w_B = 1

    The expected return of the combined portfolio (RPR_P) must equal the target return:

    wARA+wBRB=RPw_A R_A + w_B R_B = R_P

    Substituting the assumed values:

    wA(0.06)+wB(0.09)=0.08w_A (0.06) + w_B (0.09) = 0.08
  3. Solve for the weights.

    From the first equation, wB=1−wAw_B = 1 - w_A. Substitute this into the second equation:

    0.06wA+0.09(1−wA)=0.080.06 w_A + 0.09 (1 - w_A) = 0.08 0.06wA+0.09−0.09wA=0.080.06 w_A + 0.09 - 0.09 w_A = 0.08 −0.03wA=0.08−0.09-0.03 w_A = 0.08 - 0.09 −0.03wA=−0.01-0.03 w_A = -0.01 wA=−0.01−0.03=13w_A = \frac{-0.01}{-0.03} = \frac{1}{3}

    Now, calculate wBw_B:

    wB=1−wA=1−13=23w_B = 1 - w_A = 1 - \frac{1}{3} = \frac{2}{3}
  4. Calculate the resulting standard deviation.

    For portfolios formed by combining adjacent corner portfolios on the efficient frontier, the standard deviation is typically a linear interpolation of the standard deviations of the two corner portfolios:

    σP=wAσA+wBσB\sigma_P = w_A \sigma_A + w_B \sigma_B

    Substituting the weights and assumed standard deviations:

    σP=(13)(0.05)+(23)(0.10)\sigma_P = \left(\frac{1}{3}\right) (0.05) + \left(\frac{2}{3}\right) (0.10) σP=0.053+0.203\sigma_P = \frac{0.05}{3} + \frac{0.20}{3} σP=0.253\sigma_P = \frac{0.25}{3} σP≈0.08333\sigma_P \approx 0.08333

    The weights for Corner Portfolio A and Corner Portfolio B are 13\frac{1}{3} and 23\frac{2}{3} respectively. The resulting standard deviation is approximately 8.33%.

    Weights: wA=13,wB=23; Standard Deviation: 8.33%\boxed{\text{Weights: } w_A = \frac{1}{3}, w_B = \frac{2}{3}; \text{ Standard Deviation: } 8.33\%}
Was this helpful?

Still stuck on this one?

Ask a follow-up, and the answer starts from this question.

Got a different question?Ask your own question