Modeling, estimation, and optimization of equity portfolios with heavy-tailed distributions 129
Table 5.4
Maximum likelihood estimate of parameters of the skewed Student’
s t
distribution for the 14 factors
F1
F2
F3
F4
F5
F6
F7
F8
F9
F10
F11
F12
F13
F14
γ^
7.19%
3.29%
17.5%
4.22%
3.95%
9.66%
2.17%
10.66%
1.72%
0.03%
2.33%
2.68%
1.06%
5.87%
μ^
2.11%
18.3%
39.68%
21.77%
9.50%
16.2%
7.76%
7.56%
6.6%
5.93%
11.9%
9.34%
0.81%
19.07%
V^5 Matrix
∑
F1
F2
F3
F4
F5
F6
F7
F8
F9
F10
F11
F12
F13
F14
1
72.06%
47.54%
35.8%
41.1%
28.0%
8.48%
8.98%
11.54%
20.9%
6.68%
7.11%
29.45%
9.01%
14.8%
2
47.54%
70.38%
33.2%
34.7%
11.3%
2.82%
16.89%
3.54%
10.6%
5.87%
11.99%
23.04%
14.53%
23.9%
3
35.8%
33.2%
71.18%
39.25%
13.87%
10.64%
12.5%
3.49%
8.46%
15.2%
14.68%
14.2%
11.15%
12.07%
4
41.1%
34.7%
39.25%
77.07%
17.14%
0.25%
2.98%
4.41%
3.65%
7.37%
1.15%
24.9%
2.04%
13.57%
5
28.0%
11.3%
13.87%
17.14%
77.56%
1.59%
18.1%
21.0%
10.39%
8.26%
1.86%
5.26%
0.69%
14.5%
6
8.48%
2.82%
10.64%
0.25%
1.59%
57.56%
1.83%
15.8%
5.43%
1.54%
6.92%
0.13%
13.64%
12.7%
7
8.98%
16.89%
12.5%
2.98%
18.1%
1.83%
70.42%
2.48%
12.5%
13.65%
4.07%
13.4%
7.58%
10.50%
8
11.54%
3.54%
3.49%
4.41%
21.0%
15.8%
2.48%
62.45%
8.60%
14.39%
2.50%
6.44%
3.28%
10.94%
9
20.9%
10.6%
8.46%
3.65%
10.39%
5.43%
12.5%
8.60%
61.14%
6.05%
5.60%
14.3%
0.76%
6.40%
10
6.68%
5.87%
15.2%
7.37%
8.26%
1.54%
13.65%
14.39%
6.05%
70.92%
20.4%
18.4%
0.06%
14.32%
11
7.11%
11.99%
14.68%
1.15%
1.86%
6.92%
4.07%
2.50%
5.60%
20.4%
66.84%
28.08%
12.74%
15.2%
12
29.45%
23.04%
14.1%
24.9%
5.26%
0.13%
13.4%
6.44%
14.3%
18.4%
28.08%
70.98%
8.16%
45.0%
13
9.01%
14.53%
11.15%
2.04%
0.69%
13.64%
7.58%
3.28%
0.76%
0.06%
12.74%
8.16%
63.76%
15%
14
14.8%
23.9%
12.07%
13.57%
14.5%
12.7%
10.50%
10.94%
6.40%
14.32%
15.2%
45.0%
15.%
70.70%