Yesterday,
depending upon your favorite index, the market was down slightly under or
slightly over 3%.It seems we’ve had a
lot of these up and down moves equaling two or three percent this year. However
if we look a history maybe we can put things in perspective.Going back to 1923 I screened the Dow Jones Average for days that were minus 2.5% or greater.Here’s a scatter plot of those days, note the
years or decades of the highest concentrations.
But what
if we look at 2.5% moves or greater in either direction?While we obviously add more data points does
the distribution of those data points change?
Interestingly
the concentrations, the time periods, remain roughly the same.In other words, when we have downside
volatility we also have upside volatility.
Enjoy Your Weekend!
ETF Range Projections for September 5
Written by Bill Zimmer
Friday, 05 September 2008
This
morning of course was the important employment situation report: Non-farm
payrolls were -84K vs. a consensus of: -75K, Unemployment rate 6.1% vs. a consensus of: 5.8%, Average workweek 33.7 hoursvs. a consensus of: 33.7 hours, and finally Average
hourly earnings +0.4% vs. a consensus of: +0.3%.
Just
prior to the close at 3:55 PM ET: San Francisco Fed President Janet Yellen will
speak about the U.S.
economic outlook, in Los Angeles,
California.
With
declines in Europe and Asia the MSCI World Index has had its worst week since
2002, today: Nikkei 225-2.75%, Hang Seng-2.24%, Shanghai Composite-3.29%, DAX-1.38%, and the FTSE -0.94%.
Shortly
after the employment report the futures were indicating: Dow -105, S&P -12.5, Naz -21.5, Oil
-$1.39, and Gold +$2.40.
PrudentTrader.com
ETF RANGE PROJECTIONS for September 5
Tkr
Name
Prev
Close
Proj
High
Proj
Low
DIA
DIAMONDS
112.2
113.58
110.83
DUG
UltraShort Oil & Gas
39.81
41.45
38.17
EEM
Emerging Markets I
36.44
37.19
35.69
EFA
MSCI EAFEETF
59.66
60.69
58.63
EWZ
Brazil ETF
64.89
66.96
62.82
FXI
FTSE/Xinhua China 25ETF
38.2
38.87
37.54
GLD
SPDR Gold
78.39
79.21
77.57
IWM
Russell 2000ETF
71.82
72.92
70.72
IYR
Dow Jones US Real Estate
63.06
63.96
62.17
MDY
SPDRsMidcap
142.4
144.32
140.47
OIH
Oil Service ETF
167.62
171.14
164.09
QID
UltraShort QQQ ETF
46.99
48.25
45.73
QLD
Ultra QQQ ETF
67.22
69.33
65.11
QQQQ
Nasdaq 100 Trust
43.66
44.28
43.03
SDS
UltraShort S&P500 ETF
69.96
71.64
68.28
SKF
UltraShort Financials ETF
118.9
123.21
114.6
SPY
SPDRs S&P 500 ETF
124.03
125.67
122.39
USO
United
States Oil Fund
87.02
88.29
85.75
XLB
SPDRs Select Sector Materials
37.18
38.08
36.28
XLE
SPDRs Select Sector Energy
68.7
70.27
67.12
XLF
SPDRs Select Sector Financial
20.98
21.46
20.5
Rules: If the open
is above the Projected High or below the Projected Low then price is likely
to break out that day in the direction of the gap.If the breakout is to the upside the
Projected High becomes the Projected Low for the day and vice versa for a
downside break.
Have A Great Day!
Morningstar Bank Sector - Composite Charts
Written by Bill Zimmer
Thursday, 04 September 2008
Much is
being said about the unwinding of the long commodities/short financials spreads
that have been a favorite of many hedge funds and other institutions.Today let’s look at the Morningstar Sector,
Banking with two composite charts.
The three
red lines on the right hand chart is a regression channel drawn from October
high.The red line in the A/D box is a
trend line from the early 2007 peak in the advance/decline line.There is still away to go for the A/D to take
out that trend line.The
advancing-declining volume (Box
2) is dollar weighted and is attempting to turn upwards.While many look at the July lows volume as
capitulatory and it may well have been the volume on the rally has been
poor.Have all the shorts covered? Or is
there fresh new buying?
The
Morningstar Banking Sector is broken down further into 9 Banking Industry
Groups: Money Center Banks, Regional-Northeast Banks, Regional-Mid Atlantic
Banks, Regional-Southeast Banks, Regional-Midwest Banks, Regional-Southwest
Banks, Regional-Pacific Banks, Foreign Regional Banks, and Savings & Loans.Members may sign-in and view the charts and
composite data for those 9 groups to determine where the best and worst
performing of this sector lie.