
Explanation:
The covariance between portfolio returns and market returns can be calculated using the beta formula:
Beta (β) = Covariance(Portfolio, Market) / Variance(Market)
Where:
Rearranging the formula:
Covariance(Portfolio, Market) = Beta × Variance(Market)
Covariance = 0.5 × 0.04 = 0.02
Wait, let me recalculate carefully:
Beta = Cov(P,M) / Var(M) 0.5 = Cov(P,M) / (0.20)^2 0.5 = Cov(P,M) / 0.04 Cov(P,M) = 0.5 × 0.04 = 0.02
But looking at the options: A. 0.005 B. 0.010 C. 0.020
My calculation gives 0.020, which corresponds to option C. However, let me double-check the calculation:
Standard deviation of market = 20% = 0.20 Variance of market = (0.20)^2 = 0.04 Beta = 0.5 Covariance = Beta × Variance = 0.5 × 0.04 = 0.02
This is exactly 0.020, which matches option C.
Alternatively, we can also calculate covariance using: Covariance = Correlation × σ_P × σ_M Where correlation can be found from: Beta = Correlation × (σ_P / σ_M) 0.5 = Correlation × (0.10 / 0.20) 0.5 = Correlation × 0.5 Correlation = 1
Then: Covariance = 1 × 0.10 × 0.20 = 0.02
Both methods give 0.020, so the correct answer is C. 0.020.
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An analyst gathers the following information:
| Standard Deviation of Returns | Beta | |
|---|---|---|
| Portfolio | 10% | 0.5 |
| Market | 20% | 1.0 |
The covariance between the returns of the portfolio and the market is closest to:
A
0.005.
B
0.010.
C
0.020.