1. A stock has the following returns over the past 5 years: 18%, 37%, 10%, -12%, 22%.
The sample standard deviation is:
15.00% |
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36.00% |
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18.00% |
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38.07% |
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16.10% |
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0% |
2. A stock has an average HPR of 7.5% and a standard deviation of returns of 25%. What are the two next most typical returns an investor may expect?
0%, 7.5% |
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-17.5%, 32.5% |
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17.5%, 32.5% |
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-42.5%, 57.5% |
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7.5%, 25% |
3. A sample of asset returns has 7 observations (N=7). Percent expressions are used to calculate the sum of the squared differences from the mean equal to 9,780. Dividing this number by N-1, 9,780/6 = 1,630. Based on this information, the variance of returns is:
9,780 |
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1,630 |
||
40.37 |
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0.163 |
||
0.4037 |
||
Cannot determine from the information provided |
1.
Year | GR(%) | AR(%) | (GR-AR) | (GR-AR)^2 | |||||
1 | 18 | 15 | 3 | 9 | |||||
2 | 37 | 15 | 22 | 484 | |||||
3 | 10 | 15 | -5 | 25 | |||||
4 | -12 | 15 | -27 | 729 | |||||
5 | 22 | 15 | 7 | 49 | |||||
TOTAL | 75 | TOTAL | 1296 | ||||||
Average return (AR) = 75/5 = 15% | |||||||||
|
2.
Since standard deviation is 25% so HPR i.e. 7.5% either will increase or decrease by 25%
So two next most typical returns an investor may expect :
(a) 7.5% + 25% = 32.5%
(b) 7.5% - 25% = -17.5%
So answer is -17.5% , 32.5%
3. Variance = sum of the squared differences from the mean equal to 9,780 divided by (N - 1)
so Variance = 9780 / 7 -1 = 1630
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