Calculate the weekly return for BIT and construct a histogram
in Excel. Does the data on...
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Question
Basic Math
Calculate the weekly return for BIT and construct a histogramin Excel. Does the data on return rates appear normallydistributed? On the basis of z-scores do you find evidence ofoutliers? Hint: the formula for a return is (Current Price –Previous price)/Previous price multiplied by 100.
Date
BIT
11/3/13
52.06
18/3/13
53.84
25/3/13
99.99
1/4/13
139.23
8/4/13
113.07
15/4/13
123.93
22/4/13
141.36
29/4/13
126.5
6/5/13
120.39
13/5/13
125.5
20/5/13
142.52
27/5/13
137.88
3/6/13
115.66
10/6/13
120.98
17/6/13
125.28
24/6/13
111.97
1/7/13
97.54
8/7/13
114.95
15/7/13
96.5
22/7/13
92
29/7/13
99.95
5/8/13
125.49
12/8/13
104.1
19/8/13
109.53
26/8/13
158.75
2/9/13
136.12
9/9/13
147.87
16/9/13
143.09
23/9/13
142.08
30/9/13
140.24
7/10/13
151.77
14/10/13
193.52
21/10/13
213.89
28/10/13
233.5
4/11/13
331.05
11/11/13
547.08
18/11/13
974.55
25/11/13
1191.99
2/12/13
1016.27
9/12/13
1027.82
16/12/13
781.78
23/12/13
889.11
30/12/13
999
6/1/14
1037.92
13/1/14
977.1
20/1/14
1000
27/1/14
928.99
3/2/14
850
10/2/14
740
17/2/14
728.37
24/2/14
650
3/3/14
674.73
10/3/14
669.53
17/3/14
646.83
24/3/14
560
31/3/14
518.31
7/4/14
475
14/4/14
567.54
21/4/14
469
28/4/14
502.16
5/5/14
456
12/5/14
510.9
19/5/14
648.66
26/5/14
752.71
2/6/14
750
9/6/14
671.71
16/6/14
690
23/6/14
665
30/6/14
661.2
7/7/14
692.14
14/7/14
614.12
21/7/14
600.84
28/7/14
665.93
4/8/14
687.76
11/8/14
584.97
18/8/14
543
25/8/14
510.53
1/9/14
537.92
8/9/14
562.43
15/9/14
424.44
22/9/14
460.15
29/9/14
353.36
6/10/14
481.64
13/10/14
485.55
20/10/14
449.98
27/10/14
419.9
3/11/14
440.98
10/11/14
463.96
17/11/14
448.09
24/11/14
471.5
1/12/14
476
8/12/14
419.55
15/12/14
434.97
22/12/14
443.46
29/12/14
362.8
5/1/15
350.09
12/1/15
290.02
19/1/15
480.51
26/1/15
289.48
2/2/15
309.59
9/2/15
323.9
16/2/15
323.5
23/2/15
354.85
2/3/15
351.34
9/3/15
405.86
16/3/15
349.82
23/3/15
380
30/3/15
320.56
6/4/15
379.94
13/4/15
365
20/4/15
300
27/4/15
324.68
4/5/15
295.91
11/5/15
345.03
18/5/15
327.36
25/5/15
369.69
1/6/15
328.8
8/6/15
320.5
15/6/15
312.87
22/6/15
325.62
29/6/15
362.18
6/7/15
443.58
13/7/15
412.15
20/7/15
401.96
27/7/15
415
3/8/15
362.04
10/8/15
329.08
17/8/15
357.53
24/8/15
320.4
31/8/15
349.46
7/9/15
330.8
14/9/15
323.27
21/9/15
346.48
28/9/15
350.66
5/10/15
339.59
12/10/15
373.53
19/10/15
400.01
26/10/15
477.69
2/11/15
551.39
9/11/15
471.79
16/11/15
476.89
23/11/15
518.39
30/11/15
540.58
7/12/15
605.46
14/12/15
616.24
21/12/15
581.21
28/12/15
582.38
4/1/16
642.2
11/1/16
554.28
18/1/16
573.92
25/1/16
532.58
1/2/16
529.39
8/2/16
567.05
15/2/16
609.61
22/2/16
606.68
29/2/16
548.07
7/3/16
543.69
14/3/16
584.58
21/3/16
589.97
28/3/16
585.82
4/4/16
555.66
11/4/16
574.93
18/4/16
616.19
25/4/16
588.28
2/5/16
655.87
9/5/16
642.67
16/5/16
612.75
23/5/16
701.27
30/5/16
788.69
6/6/16
903.09
13/6/16
1053.05
20/6/16
905.65
27/6/16
897.08
4/7/16
871.54
11/7/16
895.01
18/7/16
893.52
25/7/16
823.18
1/8/16
787.93
8/8/16
750.5
15/8/16
760
22/8/16
770
29/8/16
815.6
5/9/16
814
12/9/16
834.99
19/9/16
786.2
26/9/16
819.42
3/10/16
815.57
10/10/16
854
17/10/16
861.02
24/10/16
925
31/10/16
925.83
7/11/16
931.9
14/11/16
1000.52
21/11/16
1002.97
28/11/16
1024.27
5/12/16
1075.2
12/12/16
1106.2
19/12/16
1235.94
26/12/16
1381.4
2/1/17
1244.41
9/1/17
1095.16
16/1/17
1223.2
23/1/17
1238.34
30/1/17
1347.74
6/2/17
1341.48
13/2/17
1375.95
20/2/17
1553.46
27/2/17
1690.27
6/3/17
1649.1
13/3/17
1362.27
20/3/17
1277.61
27/3/17
1472.88
3/4/17
1612.83
10/4/17
1588.75
17/4/17
1683.46
24/4/17
1781.71
1/5/17
2196.67
8/5/17
2595.07
15/5/17
2860.85
22/5/17
3094.79
29/5/17
3493.27
5/6/17
3889.46
12/6/17
3588.86
19/6/17
3503.31
26/6/17
3342.76
3/7/17
3415.51
10/7/17
2510
17/7/17
3541.5
24/7/17
3529.74
31/7/17
4060.53
7/8/17
5318.14
14/8/17
5298.76
21/8/17
5620
28/8/17
6018.4
4/9/17
5319.46
11/9/17
4593.05
18/9/17
4625.38
25/9/17
5565.36
2/10/17
5887.35
9/10/17
7226.76
16/10/17
7713.93
23/10/17
8018.65
30/10/17
9692.39
6/11/17
7924.89
13/11/17
10693.55
20/11/17
12297.99
27/11/17
15024.19
4/12/17
21184.87
11/12/17
25986.55
18/12/17
18939.79
25/12/17
19050.74
1/1/18
22862.21
8/1/18
19041.51
15/1/18
15148.37
22/1/18
14445.12
29/1/18
10225.82
5/2/18
10382.72
12/2/18
13338.45
19/2/18
12300.72
26/2/18
14763.94
5/3/18
12143.73
12/3/18
10646.88
19/3/18
11039.19
26/3/18
8835.98
2/4/18
9130.39
9/4/18
10654.32
16/4/18
11357.21
23/4/18
12432.76
30/4/18
12682.62
7/5/18
11560.03
14/5/18
11318.46
21/5/18
9752.02
28/5/18
10233.1
4/6/18
8956.31
11/6/18
8717.19
18/6/18
8252.91
25/6/18
8489.05
2/7/18
8953.63
9/7/18
8555.52
16/7/18
9947.28
23/7/18
11114.06
30/7/18
9559.81
6/8/18
8719.77
13/8/18
8920.44
20/8/18
9172.49
27/8/18
10081.22
3/9/18
8802.43
10/9/18
9058.83
17/9/18
9118.22
24/9/18
9139.68
1/10/18
9264.69
8/10/18
8735.74
15/10/18
9005.48
22/10/18
9019.61
29/10/18
8908.97
5/11/18
8841.39
12/11/18
7579.24
19/11/18
5435.57
26/11/18
5586.65
3/12/18
4914.89
10/12/18
4440.44
17/12/18
5596.18
24/12/18
5456.26
31/12/18
5686.6
7/1/19
4908.14
14/1/19
4962.34
21/1/19
4942.09
28/1/19
4734.24
4/2/19
5132.33
11/2/19
5083.2
18/2/19
5213.99
25/2/19
5340.09
4/3/19
5555.14
11/3/19
5626.45
18/3/19
5617.53
25/3/19
5738.09
1/4/19
7253.71
8/4/19
7214.66
15/4/19
7437.26
22/4/19
7405.25
29/4/19
8120.41
6/5/19
9962.31
13/5/19
11884.94
20/5/19
12617.35
27/5/19
12606.94
3/6/19
10983.83
10/6/19
12961.26
17/6/19
15572.87
24/6/19
15180.16
1/7/19
16368.05
8/7/19
14657.08
15/7/19
15057.73
22/7/19
13891.59
29/7/19
16132.89
5/8/19
17037.56
12/8/19
15348.79
Answer & Explanation
Solved by verified expert
3.7 Ratings (412 Votes)
Step 1 Put the data in data in excelStep 2 Find the mean and standard deviation for the weeklyreturnStep 3 Find the zscoreStep
See Answer
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