Consider the data contained in the table below, which lists 30 monthly excess returns to two different actively managed stock portfolios (A and B) and three different common risk factors (1, 2, and 3). (Note: You may find it useful to use a computer spreadsheet program such as Microsoft Excel to calculate your answers.)
Period | Portfolio A | Portfolio B | Factor 1 | Factor 2 | Factor 3 | ||||||
1 | 1.02 | % | 0.00 | % | 0.02 | % | -0.94 | % | -1.62 | % | |
2 | 7.52 | 6.64 | 6.82 | 0.28 | -1.14 | ||||||
3 | 4.95 | 6.08 | 4.72 | -1.48 | 1.97 | ||||||
4 | 1.06 | 0.41 | 0.60 | 0.51 | 0.26 | ||||||
5 | -1.96 | -1.52 | -2.94 | -3.71 | 4.26 | ||||||
6 | 4.24 | 2.49 | 2.79 | -3.36 | -1.50 | ||||||
7 | -0.66 | -2.44 | -2.75 | -4.45 | -1.77 | ||||||
8 | -15.40 | -15.48 | -16.09 | -5.84 | 5.68 | ||||||
9 | 6.12 | 4.07 | 6.05 | 0.01 | -3.74 | ||||||
10 | 7.63 | 6.81 | 7.01 | -3.36 | -2.93 | ||||||
11 | 7.73 | 5.47 | 5.82 | 1.27 | -3.73 | ||||||
12 | 9.62 | 4.80 | 5.92 | -0.41 | -4.97 | ||||||
13 | 5.27 | 2.77 | 3.49 | 1.05 | -6.06 | ||||||
14 | -3.26 | -0.47 | -4.09 | -5.65 | 1.68 | ||||||
15 | 5.35 | 2.51 | 3.27 | -3.80 | -3.02 | ||||||
16 | 2.38 | 7.30 | 4.45 | 2.87 | 2.86 | ||||||
17 | -2.78 | 0.13 | -2.30 | 3.44 | 3.08 | ||||||
18 | 6.62 | 3.58 | 4.78 | 3.38 | -4.25 | ||||||
19 | -3.47 | -0.65 | -3.50 | 1.94 | 0.70 | ||||||
20 | -1.29 | -3.98 | -1.39 | -1.25 | -1.22 | ||||||
21 | -1.48 | 0.23 | -2.68 | 3.21 | -3.18 | ||||||
22 | 6.00 | 5.27 | 5.88 | -6.56 | -3.09 | ||||||
23 | 2.07 | 2.27 | 3.23 | 7.65 | -8.00 | ||||||
24 | 7.19 | 7.08 | 7.83 | 6.94 | -9.08 | ||||||
25 | -4.79 | -2.84 | -4.35 | 4.07 | -0.09 | ||||||
26 | 1.10 | -1.98 | 2.51 | 21.42 | -12.12 | ||||||
27 | 9.13 | 5.22 | 5.12 | -16.65 | 7.78 | ||||||
28 | -4.31 | -2.91 | -6.30 | -7.49 | 8.63 | ||||||
29 | -3.44 | -0.72 | -4.22 | -5.78 | 5.28 | ||||||
30 | 3.94 | 1.81 | 4.67 | 13.36 | -8.86 |
Portfolio A | Portfolio B | Factor 1 | Factor 2 | Factor 3 | |
Monthly: | |||||
Average | % | % | % | % | % |
Std Dev | % | % | % | % | % |
Annual: | |||||
Average | % | % | % | % | % |
Std Dev | % | % | % | % | % |
Based on the return and standard deviation calculations for the two portfolios from Part a, is it clear whether one portfolio outperformed the other over this time period? Do not make any additional calculations to answer this question.
Portfolio A earned a -Select-higherlowerItem 21 return and a -Select-higherlowerItem 22 standard deviation than Portfolio B. Therefore, it -Select-isis notItem 23 clear that one portfolio outperformed the other over this time period.
Calculate the correlation coefficients between each pair of the common risk factors (i.e., 1 & 2, 1 & 3, and 2 & 3). Use a minus sign to enter negative values, if any. Do not round intermediate calculations. Round your answers to four decimal places.
Correlation between 1 & 2:
Correlation between 1 & 3:
Correlation between 2 & 3:
In theory, what should be the value of the correlation coefficient between the common risk factors? Explain why.
In theory the correlations should be -Select-equal to 0equal to 1equal to -1indefiniteItem 27 because we want the factors to be -Select-independent of each otherhighly correlatedItem 28 .
a.
Monthly Average | 1.87 | 1.398333 | 1.145667 | 0.022333 | -1.273 |
Monthly Stdev | 5.481172 | 4.637711 | 5.295676 | 6.848966 | 4.972344 |
Annual Average | 22.44 | 16.78 | 13.748 | 0.268 | -15.276 |
Annual Stdev | 18.98734 | 16.0655 | 18.34476 | 23.72551 | 17.2247 |
b. Portfolio A outperformed Portfolio B as it has higher return
c.
Correlation between 1&2 | 0.22 |
Correlation between 1&3 | -0.55 |
Correlation between 2&3 | -0.75 |
d. In Therory correlation coeffirient is between -1 to +1 between common risk factors.
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