What is the Treynor measure for the Miranda Fund and the S& 500?
Miranda Fund
S& 500
Answer and Explanation
To calculate the Treynor measure, use the following formula: Treynor measure = (R Rf) / b
where: R = return Rf = risk-free return b = beta
The Treynor measure for the Miranda Fund is: (0.102 -0.02)/1.10 = 0.0745
The Treynor measure for the S& 500 is: (-0.225 0.02)/1.00 = -0.2450
Based on the Treynor measure, Blakely outperformed the S& 500 on a risk-adjusted basis (when risk is defined as systematic risk). The Treynor ratio is meaningful for portfolios that are well-diversified.
To calculate the Treynor measure, use the following formula: Treynor measure = (R Rf) / b
where: R = return Rf = risk-free return b = beta
The Treynor measure for the Miranda Fund is: (0.102 -0.02)/1.10 = 0.0745
The Treynor measure for the S& 500 is: (-0.225 0.02)/1.00 = -0.2450
Based on the Treynor measure, Blakely outperformed the S& 500 on a risk-adjusted basis (when risk is defined as systematic risk). The Treynor ratio is meaningful for portfolios that are well-diversified. What is the Jensen measure for the Miranda Fund?
Answer and Explanation
To calculate the Jensen measure, use the following formula: Jensens alpha = Ra [Rf + b(Rm Rf)] where: Ra = return on actual portfolio Rf = risk-free return Rm = market return b
= beta of portfolio
The Jensen measure for Miranda Fund is: 0.102 [0.02 + 1.10(0.225 0.02)] = 0.3515
Jensens Alpha measures the excess return for a given level of systematic risk. It also measures the value added of an active strategy. Jensens Alpha indicates that the excess return for the Miranda Fund was 35.15 percentage points more than the return implied by the CAPM/Security Market Line. Because Jensens Alpha should be used to compare well-diversified portfolios having the same betas, it would not be the best measure for assessing the value added by Blakely.
To calculate the Jensen measure, use the following formula: Jensens alpha = Ra [Rf + b(Rm Rf)] where: Ra = return on actual portfolio Rf = risk-free return Rm = market return b
= beta of portfolio
The Jensen measure for Miranda Fund is: 0.102 [0.02 + 1.10(0.225 0.02)] = 0.3515
Jensens Alpha measures the excess return for a given level of systematic risk. It also measures the value added of an active strategy. Jensens Alpha indicates that the excess return for the Miranda Fund was 35.15 percentage points more than the return implied by the CAPM/Security Market Line. Because Jensens Alpha should be used to compare well-diversified portfolios having the same betas, it would not be the best measure for assessing the value added by Blakely. What are the one-year asset class returns (stocks, cash) for Miranda and the benchmark?
Miranda Fund (stocks, cash)
S& 500(stocks, cash)
Answer and Explanation
To calculate the overall actual returns for the Miranda Fund and the benchmark returns for S& 500, use the following formula: Total return = ∑ (Wi × Ri) where: Wi = weights of each individual asset class R i = returns of each individual asset class
Blakely decided to alter the asset allocation weights to 50% stocks and 50% cash. Since the actual total return for the Miranda Fund was 10.2% and the cash return was 2%, then the asset class return for stocks is: 0.102 = [(0.50 × Ri) + (0.50 × 0.02)] 0.0920 = 0.50 Ri
Ri
= 0.1840 = 18.4%
Therefore for the Miranda Fund, the asset class returns for stocks and cash are 18.4% and 2% respectively. The benchmark S& 500 had constant weights of 97% stocks and 3% cash. Since the actual total return for the S& 500 was 22.5% and the cash return was 2%, then the asset class return for stocks is: 0.225 = [(0.97 ×
Ri) + (0.03 × 0.02)] 0.2256 = 0.97 Ri
RI = 0.2326 = - 23.26% Therefore, for the S&P 500, the asset class returns for stocks and cash are 23.26% and 2% respectively.
Total return = ∑ (Wi × Ri) where: Wi = weights of each individual asset class R i = returns of each individual asset class
Blakely decided to alter the asset allocation weights to 50% stocks and 50% cash. Since the actual total return for the Miranda Fund was 10.2% and the cash return was 2%, then the asset class return for stocks is: 0.102 = [(0.50 × Ri) + (0.50 × 0.02)] 0.0920 = 0.50 Ri
Ri
= 0.1840 = 18.4%
Therefore for the Miranda Fund, the asset class returns for stocks and cash are 18.4% and 2% respectively. The benchmark S&P 500 had constant weights of 97% stocks and 3% cash. Since the actual total return for the S&P 500 was 22.5% and the cash return was 2%, then the asset class return for stocks is: 0.225 = [(0.97 ×
Ri) + (0.03 × 0.02)] 0.2256 = 0.97 Ri
RI = 0.2326 = - 23.26%
Therefore, for the S&P 500, the asset class returns for stocks and cash are 23.26% and 2% respectively. What was the effect of Blakely's active management decision on the Miranda Fund's one-year performance?
Answer and Explanation
Active management decisions are assumed to generate the difference between the portfolio and benchmark returns. A = P - B where: A = Active management decision P = the investment manager's portfolio return B = the benchmark return A = 10.2% - ( -22.5%) = +32.7%.
A = P - B where: A = Active management decision P = the investment manager's portfolio return B = the benchmark return A = 10.2% - ( -22.5%) = +32.7%.
What was the effect of Blakely's within-sector selection ability on the Miranda Fund's one-year performance?
Answer and Explanation
To calculate the within-sector selection effect, use the formula below: within-sector selection effect = ∑ [(wBj) × (RPj RBj)] where: wBj = investment weight given to the asset class in the benchmark portfolio RPj, RBj = investment return to the asset class in the managers actual portfolio and the benchmark portfolio, respectively within-sector selection effect = [0.97 × (0.184 (0.2326)] + [0.03 × (0.02 0.02)] = 0.4041 = 40.41% Blakely gained an additional 40.41% by selecting securities that were superior to the securities within the benchmark. This higher return was attributable to her stock selection skills in picking specific stocks that outperformed the market benchmark. This enabled her to capture excess returns (alpha) in excess of the S&P 500 benchmark.
To calculate the within-sector selection effect, use the formula below: within-sector selection effect = ∑ [(wBj) × (RPj RBj)] where: wBj = investment weight given to the asset class in the benchmark portfolio RPj, RBj = investment return to the asset class in the managers actual portfolio and the benchmark portfolio, respectively within-sector selection effect = [0.97 × (0.184 (0.2326)] + [0.03 × (0.02 0.02)] = 0.4041 = 40.41%
Blakely gained an additional 40.41% by selecting securities that were superior to the securities within the benchmark. This higher return was attributable to her stock selection skills in picking specific stocks that outperformed the market benchmark. This enabled her to capture excess returns (alpha) in excess of the S&P 500 benchmark. |