The sector model sold XLP and bought XLU before the close.
Friday, March 14, 2014
Thursday, March 13, 2014
Sunday, March 9, 2014
03/09/2014 rotation
Style Model
|
Large Value
|
||
Sector Model
|
XLU
|
1.01%
|
|
Large Portfolio
|
Date
|
Return
|
Days
|
ABX
|
4/11/2013
|
-17.08%
|
331
|
NEM
|
9/30/2013
|
-11.35%
|
159
|
JOY
|
11/18/2013
|
0.67%
|
110
|
TM
|
2/3/2014
|
-0.70%
|
33
|
RS
|
2/10/2014
|
2.24%
|
26
|
CSCO
|
2/12/2014
|
-4.32%
|
24
|
INT
|
2/18/2014
|
-0.91%
|
18
|
CBI
|
2/20/2014
|
5.43%
|
16
|
BT
|
2/24/2014
|
-1.61%
|
12
|
BHP
|
3/3/2014
|
-1.48%
|
5
|
(Since 5/31/2011)
|
|||
S&P
|
Annualized
|
12.80%
|
|
Sector Model
|
Annualized
|
25.14%
|
|
Large Portfolio
|
Annualized
|
27.20%
|
Rotation: selling INT; buying DUK (in the Eastern Utility
industry).
The sector and style models remain stubbornly defensive, in
spite of the continued uptick in the market – one of the reasons I don’t time.
The other reason I don’t time is that I’m no good at it, but
that’s a different story.
Tim
Sunday, March 2, 2014
03/02/2014 Sector and Style Models at maximum defense
Style Model
|
Large Value
|
||
Sector Model
|
XLU
|
2.17%
|
|
Large Portfolio
|
Date
|
Return
|
Days
|
ABX
|
4/11/2013
|
-15.12%
|
325
|
NEM
|
9/30/2013
|
-16.18%
|
153
|
EW
|
10/28/2013
|
-9.47%
|
125
|
JOY
|
11/18/2013
|
-2.55%
|
104
|
TM
|
2/3/2014
|
0.47%
|
27
|
RS
|
2/10/2014
|
-0.50%
|
20
|
CSCO
|
2/12/2014
|
-4.01%
|
18
|
INT
|
2/18/2014
|
0.22%
|
12
|
CBI
|
2/20/2014
|
5.29%
|
10
|
BT
|
2/24/2014
|
0.66%
|
6
|
(Since 5/31/2011)
|
|||
S&P
|
Annualized
|
12.47%
|
|
Sector Model
|
Annualized
|
25.83%
|
|
Large Portfolio
|
Annualized
|
27.27%
|
Rotation: selling EW; buying BHP (in the mining sector).
Just a note of caution, the sector and style models are now
as defensive as possible. The investment
matrix shows the following set of rankings:
Large Value
|
Small Value
|
Mid Blend
|
Small Growth
|
Small Blend
|
Mid Value
|
Large Blend
|
Large Growth
|
Mid Growth
|
|
Utilities
|
1
|
3
|
6
|
9
|
17
|
21
|
23
|
25
|
69
|
Materials
|
2
|
5
|
10
|
13
|
19
|
27
|
32
|
36
|
71
|
Finance
|
4
|
7
|
11
|
14
|
20
|
28
|
33
|
38
|
72
|
Staples
|
8
|
12
|
15
|
16
|
31
|
40
|
42
|
45
|
76
|
Technology
|
18
|
22
|
29
|
35
|
49
|
51
|
54
|
56
|
77
|
Cyclicals
|
24
|
34
|
41
|
44
|
53
|
59
|
60
|
64
|
78
|
Industrial
|
26
|
37
|
43
|
47
|
55
|
61
|
63
|
66
|
79
|
Energy
|
30
|
39
|
46
|
48
|
57
|
65
|
67
|
68
|
80
|
Healthcare
|
50
|
52
|
58
|
62
|
70
|
73
|
74
|
75
|
81
|
Time to throw in the towel?
Well, perhaps for some, but we have to keep in mind that I’m
using rotation models, rather than timing models. Let’s take a look at the year to date for the
sector model:
Although the model CAN take a dip on occasion, it tends to
outperform more when the market goes down than when the market goes up. The dips are when the model shows its best
advantage.
The reason for this is the nature of the model itself: it
looks for beaten down sectors and industries that are ready for mean-reversion. In wildly bullish times investors just chase
momentum. It’s in times of defensiveness
that investors look for value and safety.
You see, money doesn’t actually disappear to the extent that
the market would make it seem. Normally
the first thing that institutional investors do is to move money from one place
to another. I just try to be first in
line to welcome them when they move money my way.
Right now, then, I’m looking for large to outperform small;
value to outperform growth; and utilities to outperform more aggressive
sectors. The one thing all these have in
common is that they tend to move slower than the rest of the market.
My guess is that we are still locked and loaded for a
correction.
Time will tell.
Investing isn’t really about knowing the future, so much as
simply being prepared for whatever it decides to bring.
Tim
Subscribe to:
Posts (Atom)