The problem provides the expected returns and risk (standard deviation) for two funds, A and B. It also provides the correlation coefficient between the returns of the two funds. The problem asks for: (1) the portfolio's expected return if 55% is invested in fund B; (2) the portfolio's standard deviation; (3) the weight of fund A in the minimum variance portfolio; and (4) the weight of fund B in the minimum variance portfolio.

Applied MathematicsPortfolio OptimizationFinancial MathematicsExpected ReturnStandard DeviationCorrelation CoefficientVarianceMinimum Variance Portfolio
2025/7/10

1. Problem Description

The problem provides the expected returns and risk (standard deviation) for two funds, A and B. It also provides the correlation coefficient between the returns of the two funds. The problem asks for: (1) the portfolio's expected return if 55% is invested in fund B; (2) the portfolio's standard deviation; (3) the weight of fund A in the minimum variance portfolio; and (4) the weight of fund B in the minimum variance portfolio.

2. Solution Steps

(1) Expected rate of return
Given:
Expected return of Fund A, E(RA)=13.6%=0.136E(R_A) = 13.6\% = 0.136
Expected return of Fund B, E(RB)=7.9%=0.079E(R_B) = 7.9\% = 0.079
Weight of Fund B, wB=55%=0.55w_B = 55\% = 0.55
Weight of Fund A, wA=1wB=10.55=0.45w_A = 1 - w_B = 1 - 0.55 = 0.45
The expected return of the portfolio is given by:
E(RP)=wAE(RA)+wBE(RB)E(R_P) = w_A * E(R_A) + w_B * E(R_B)
E(RP)=0.450.136+0.550.079E(R_P) = 0.45 * 0.136 + 0.55 * 0.079
E(RP)=0.0612+0.04345=0.10465E(R_P) = 0.0612 + 0.04345 = 0.10465
E(RP)=10.465%E(R_P) = 10.465\%
(2) Standard deviation of the portfolio
Given:
Standard deviation of Fund A, σA=2.2%=0.022\sigma_A = 2.2\% = 0.022
Standard deviation of Fund B, σB=1.1%=0.011\sigma_B = 1.1\% = 0.011
Correlation coefficient between A and B, ρAB=0.34\rho_{AB} = 0.34
The portfolio variance is given by:
σP2=wA2σA2+wB2σB2+2wAwBρABσAσB\sigma_P^2 = w_A^2 * \sigma_A^2 + w_B^2 * \sigma_B^2 + 2 * w_A * w_B * \rho_{AB} * \sigma_A * \sigma_B
σP2=(0.45)2(0.022)2+(0.55)2(0.011)2+20.450.550.340.0220.011\sigma_P^2 = (0.45)^2 * (0.022)^2 + (0.55)^2 * (0.011)^2 + 2 * 0.45 * 0.55 * 0.34 * 0.022 * 0.011
σP2=0.20250.000484+0.30250.000121+0.00082218\sigma_P^2 = 0.2025 * 0.000484 + 0.3025 * 0.000121 + 0.00082218
σP2=0.00009801+0.0000366025+0.0000091509\sigma_P^2 = 0.00009801 + 0.0000366025 + 0.0000091509
σP2=0.0001437634\sigma_P^2 = 0.0001437634
The standard deviation of the portfolio is:
σP=σP2=0.0001437634=0.0119901376\sigma_P = \sqrt{\sigma_P^2} = \sqrt{0.0001437634} = 0.0119901376
σP=1.199%\sigma_P = 1.199\%
(3) Weight of fund A in the minimum variance portfolio
wA=σB2σAσBρABσA2+σB22σAσBρABw_A = \frac{\sigma_B^2 - \sigma_A \sigma_B \rho_{AB}}{\sigma_A^2 + \sigma_B^2 - 2\sigma_A \sigma_B \rho_{AB}}
wA=(0.011)2(0.022)(0.011)(0.34)(0.022)2+(0.011)22(0.022)(0.011)(0.34)w_A = \frac{(0.011)^2 - (0.022)(0.011)(0.34)}{(0.022)^2 + (0.011)^2 - 2(0.022)(0.011)(0.34)}
wA=0.0001210.000082280.000484+0.0001210.00016536w_A = \frac{0.000121 - 0.00008228}{0.000484 + 0.000121 - 0.00016536}
wA=0.000038720.00043964=0.08807152w_A = \frac{0.00003872}{0.00043964} = 0.08807152
wA=8.807%w_A = 8.807\%
(4) Weight of fund B in the minimum variance portfolio
wB=1wA=10.08807152=0.91192848w_B = 1 - w_A = 1 - 0.08807152 = 0.91192848
wB=91.193%w_B = 91.193\%

3. Final Answer

1. Portfolio's expected rate of return: 10.465%

2. Portfolio's standard deviation: 1.199%

3. Weight of fund A in the minimum variance portfolio: 8.807%

4. Weight of fund B in the minimum variance portfolio: 91.193%

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