For prudent investment decisions, stick to leading economic indicators. The reporting of non-farm payroll employment is important to media outlets because it reflects the plight of workers. It is a relevant news story. However, that does not mean it is a relevant leading economic indicator.

[SOURCE: Bureau of Labor Statistics]
For example, February saw another significant decline in non-farm payroll employment as the recession’s bite worsens. This makes for stark news headlines, and it certainly shows the serious effects of the recession. However, payroll employment should not be used as a gauge of future economic activity. It is not a leading indicator; employment is a lagging indicator. Payrolls will continue to drop, as they have in prior recessions, long after the economic recovery has begun. This is why some forecasts for unemployment rising in 2010 to 10 percent or more (the current unemployment rate is 8.1 percent) should not be met with trepidation about corporate earnings and valuations. In other words, the stock market will not continue to decline because of job losses. Rather, the market declines because of depressed corporate earnings and poor economic outlooks, which in turn force job reductions.
There are some who would argue that job losses will result in a further decline in consumer spending, and so, corporate earnings will decrease more. If that were true, then no economy would ever recover from a recession. Companies would keep cutting workers, who would then spend less, forcing lower earnings, more jobs cuts, less spending, and so on. This is a phenomenon known as a vicious circle.
We need only look to our present economic situation to see why payroll cuts do not necessarily result in lower consumer spending. In the Summer of 2008, consumer spending and borrowing began to decline rapidly. The credit crisis hit its peak in September/October. Realizing that demand for goods and services had dropped, and that consumers were no longer borrowing to support their spending habits, businesses began job reductions shortly thereafter, and seem to be peaking in the December 2008-February 2009 period. Consumer spending and borrowing dropped first. That is a leading indicator. Job cuts came last, that is a lagging indicator. And, in the face of the dramatic loss of jobs, the drop in consumer spending may be leveling out (see chart at the end of this article).
There are payroll numbers that we can look to as leading indicators of economic activity: average weekly hourly earnings and average weekly hours worked. These numbers show a trend as to income earned on non-farm payrolls. The analysis is simple: increased earnings and increased hours means more spending power, with the reverse being true as well. Let’s look at a chart of these statistics:
Table A. Composition of change in real earnings of production and
nonsupervisory workers(1) on private nonfarm payrolls
________________________________________________________________________
| | | | |
| Average | Average | Average | The | Real
| hourly | weekly | weekly | Consumer | average
Year | earnings | hours | earnings | Price | weekly
and | | | | Index(2) | earnings
month |___________|___________|___________|___________|___________
|
| Percent change from preceding month, seasonally adjusted
____________|___________________________________________________________
| | | | |
2008: | | | | |
Jan. | 0.3 | -0.3 | 0.0 | 0.4 | -0.4
Feb. | .3 | .3 | .6 | .2 | .4
Mar. | .4 | .0 | .4 | .4 | (3)
Apr. | .2 | .0 | .2 | .1 | .1
May | .3 | -.3 | (3) | .5 | -.5
June | .3 | -.3 | (3) | 1.1 | -1.1
July | .3 | .0 | .3 | .8 | -.5
Aug. | .4 | .3 | .7 | .0 | .8
Sept. | .2 | -.3 | -.1 | .0 | -.2
Oct. | .4 | -.3 | .1 | -1.0 | 1.1
Nov. | .3 | -.3 | (3) | -2.1 | 2.2
Dec.(p) | .4 | -.3 | .1 | -1.0 | 1.1
2009: | | | | |
Jan.(p) | .3 | .0 | .3 | .3 | -.1
____________|___________|___________|___________|___________|___________
1 See footnote 2, table 1.
2 The deflator for the constant-dollar series presented in this
release is the Consumer Price Index for Urban Wage Earners and Clerical
Workers (CPI-W).
3 Change less than 0.05 percent in magnitude.
p = preliminary.
[SOURCE: Bureau of Labor Statistics]
Take a look at May and June of last year. While average hourly earnings were increasing, average weekly hours worked dropped. Also, thanks to incredibly high oil and gasoline prices, inflation was running rampant. Thus, real earning was declining rapidly. Those who were paying attention to these numbers would have known that a severe drop in consumer spending was coming.
Now look at October through December. Average weekly hours have dropped consistently each month, forecasting a worsening in consumer spending. However, the inflation rate has dropped, thanks to a sharp drop in commodities and, especially, oil prices due to the global economic crisis. So even though workers were earning less because they were working less, their spending power increased. January 2009 shows the possibilty of a bottoming in the average weekly hours decline. Of course, one data point does not make a trend, so we need to see what the next couple of months show before any reasonable predictions may be made.
The bottom line is that investors must know the difference between economic statistics that offer a glimpse into the future and those that merely reflect the past.
| Table 1. Estimated Monthly Sales for Retail and Food Services, by Kind of Business |
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| (Total sales estimates are shown in millions of dollars and are based on data from the Advance Monthly Retail Trade Survey, Monthly Retail |
| Trade Survey, and administrative records.) |
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Not Adjusted |
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Adjusted2 |
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| NAICS1 |
Kind of Business |
2 Month Total |
2009 |
2008 |
2009 |
2008 |
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| code |
|
% Chg. |
Feb.3 |
Jan. |
Dec. |
Feb. |
Jan. |
Feb.3 |
Jan. |
Dec. |
Feb. |
Jan. |
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2009 |
2008 |
(a) |
(p) |
(r) |
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(a) |
(p) |
(r) |
(r) |
(r) |
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Retail & food services, |
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total ………………………………. |
624,162 |
-10.3 |
305,943 |
318,219 |
392,839 |
348,876 |
346,951 |
346,810 |
347,191 |
340,987 |
379,355 |
381,421 |
|
|
Total (excl. motor vehicle & parts) … |
520,151 |
-6.9 |
254,423 |
265,728 |
338,355 |
278,636 |
280,111 |
290,023 |
287,872 |
283,444 |
305,148 |
306,045 |
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Retail …..……………………………. |
552,379 |
-11.7 |
270,915 |
281,464 |
354,475 |
313,244 |
312,020 |
308,148 |
308,461 |
302,852 |
341,729 |
343,739 |
|
|
GAFO4………………………….………………………….. |
(*) |
(*) |
(*) |
84,040 |
137,393 |
87,385 |
84,711 |
(*) |
95,743 |
93,448 |
97,659 |
98,191 |
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| 441 |
Motor vehicle & parts dealers ……. |
104,011 |
-24.1 |
51,520 |
52,491 |
54,484 |
70,240 |
66,840 |
56,787 |
59,319 |
57,543 |
74,207 |
75,376 |
|
| 4411, 4412 |
Auto & other motor veh. dealers . |
92,165 |
-26.5 |
45,597 |
46,568 |
48,150 |
64,304 |
61,063 |
50,162 |
52,738 |
50,952 |
67,831 |
69,076 |
|
| 44111 |
New car dealers ………………. |
(*) |
(*) |
(*) |
36,334 |
38,920 |
51,188 |
49,443 |
(NA) |
(NA) |
(NA) |
(NA) |
(NA) |
|
| 4413 |
Auto parts, acc. & tire stores…… |
(*) |
(*) |
(*) |
5,923 |
6,334 |
5,936 |
5,777 |
(NA) |
(NA) |
(NA) |
(NA) |
(NA) |
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| 442 |
Furniture & home furn. stores …… |
15,241 |
-13.8 |
7,520 |
7,721 |
9,861 |
8,822 |
8,858 |
8,449 |
8,392 |
8,443 |
9,466 |
9,670 |
|
| 4421 |
Furniture stores ………………….. |
(*) |
(*) |
(*) |
4,396 |
4,692 |
5,063 |
4,989 |
(NA) |
(NA) |
(NA) |
(NA) |
(NA) |
|
| 4422 |
Home furnishings stores ……….. |
(*) |
(*) |
(*) |
3,325 |
5,169 |
3,759 |
3,869 |
(NA) |
(NA) |
(NA) |
(NA) |
(NA) |
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|
| 443 |
Electronics & appliance stores …… |
17,028 |
-3.7 |
8,425 |
8,603 |
13,828 |
8,857 |
8,832 |
9,217 |
9,110 |
8,473 |
9,346 |
9,409 |
|
| 44311, 13 |
Appl., T.V. & camera……………… |
(*) |
(*) |
(*) |
6,955 |
11,060 |
7,146 |
7,092 |
(*) |
7,344 |
6,695 |
7,522 |
7,593 |
|
| 44312 |
Computer & software stores……. |
(*) |
(*) |
(*) |
1,648 |
2,768 |
1,711 |
1,740 |
(*) |
1,766 |
1,778 |
1,824 |
1,816 |
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| 444 |
Building material & garden eq. & |
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supplies dealers……………………. |
37,576 |
-14.0 |
18,547 |
19,029 |
22,253 |
21,783 |
21,906 |
24,759 |
24,810 |
25,142 |
27,593 |
27,480 |
|
| 4441 |
Building mat. & sup. dealers …… |
(*) |
(*) |
(*) |
16,599 |
19,006 |
19,264 |
19,707 |
(*) |
20,569 |
20,886 |
23,550 |
23,715 |
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|
| 445 |
Food & beverage stores……………. |
92,752 |
0.5 |
44,034 |
48,718 |
52,476 |
45,351 |
46,981 |
48,851 |
49,213 |
48,273 |
48,395 |
48,210 |
|
| 4451 |
Grocery stores ………………….. |
83,808 |
0.0 |
39,582 |
44,226 |
45,498 |
40,970 |
42,843 |
43,545 |
44,006 |
43,167 |
43,400 |
43,276 |
|
| 4453 |
Beer, wine & liquor stores ……… |
(*) |
(*) |
(*) |
3,094 |
4,766 |
2,976 |
2,830 |
(*) |
3,589 |
3,528 |
3,413 |
3,397 |
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| 446 |
Health & personal care stores ……. |
40,907 |
1.5 |
20,004 |
20,903 |
23,431 |
20,078 |
20,219 |
21,035 |
20,903 |
20,865 |
20,240 |
20,159 |
|
| 44611 |
Pharmacies & drug stores ……… |
(*) |
(*) |
(*) |
17,368 |
19,108 |
16,712 |
16,968 |
(*) |
17,179 |
17,230 |
16,813 |
16,750 |
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| 447 |
Gasoline stations …………………… |
48,865 |
-34.6 |
23,934 |
24,931 |
25,022 |
36,789 |
37,914 |
28,092 |
27,158 |
26,422 |
41,523 |
41,894 |
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| 448 |
Clothing & clothing accessories |
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stores …………………………….….. |
28,953 |
-5.3 |
15,078 |
13,875 |
27,390 |
16,128 |
14,459 |
18,227 |
17,739 |
16,909 |
18,804 |
18,981 |
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| 44811 |
Men’s clothing stores …………… |
(*) |
(*) |
(*) |
663 |
1,231 |
722 |
731 |
(*) |
(S) |
(S) |
(S) |
(S) |
|
| 44812 |
Women’s clothing stores ……….. |
(*) |
(*) |
(*) |
2,283 |
4,229 |
2,785 |
2,570 |
(*) |
2,965 |
2,949 |
3,372 |
3,368 |
|
| 44814 |
Family clothing stores …………… |
(*) |
(*) |
(*) |
5,463 |
10,789 |
5,680 |
5,325 |
(NA) |
(NA) |
(NA) |
(NA) |
(NA) |
|
| 4482 |
Shoe stores ……………………… |
(*) |
(*) |
(*) |
1,662 |
2,751 |
1,999 |
1,744 |
(*) |
2,091 |
2,124 |
2,236 |
2,247 |
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| 451 |
Sporting goods, hobby, book & |
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music stores………………………… |
12,863 |
-1.6 |
5,733 |
7,130 |
11,994 |
6,024 |
7,049 |
7,369 |
7,351 |
7,178 |
7,328 |
7,436 |
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| 452 |
General merchandise stores………. |
87,006 |
0.9 |
43,622 |
43,384 |
69,657 |
44,205 |
42,052 |
50,315 |
49,686 |
49,162 |
49,207 |
49,071 |
|
| 4521 |
Department stores (ex. L.D.)…….. |
25,929 |
-7.1 |
13,228 |
12,701 |
27,505 |
14,490 |
13,412 |
16,147 |
15,973 |
16,131 |
17,076 |
17,134 |
|
| 4521 |
Department stores (incl. L.D.)5…… |
(*) |
(*) |
(*) |
13,038 |
28,230 |
14,891 |
13,790 |
(*) |
(NA) |
(NA) |
(NA) |
(NA) |
|
| 4529 |
Other general merch. stores…. .. |
(*) |
(*) |
(*) |
30,683 |
42,152 |
29,715 |
28,640 |
(*) |
33,713 |
33,031 |
32,131 |
31,937 |
|
| 45291 |
Warehouse clubs & |
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supercenters…………………. |
(*) |
(*) |
(*) |
27,618 |
36,989 |
26,426 |
25,504 |
(*) |
30,020 |
29,497 |
28,415 |
28,150 |
|
| 45299 |
All oth. gen. merch. stores…… |
(*) |
(*) |
(*) |
3,065 |
5,163 |
3,289 |
3,136 |
(*) |
3,693 |
3,534 |
3,716 |
3,787 |
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| 453 |
Miscellaneous store retailers …….. |
16,728 |
-8.5 |
8,253 |
8,475 |
11,160 |
9,025 |
9,253 |
9,424 |
9,221 |
9,298 |
9,831 |
10,028 |
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| 454 |
Nonstore retailers ………………….. |
50,449 |
-5.9 |
24,245 |
26,204 |
32,919 |
25,942 |
27,657 |
25,623 |
25,559 |
25,144 |
25,789 |
26,025 |
|
| 4541 |
Elect. shopping & m/o houses …. |
(*) |
(*) |
(*) |
17,435 |
24,448 |
16,401 |
17,507 |
(*) |
18,257 |
18,123 |
17,579 |
17,864 |
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| 722 |
Food services & drinking places … |
71,783 |
1.7 |
35,028 |
36,755 |
38,364 |
35,632 |
34,931 |
38,662 |
38,730 |
38,135 |
37,626 |
37,682 |
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| (*) Advance estimates are not available for this kind of business. |
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| (NA) Not available. (S) Suppressed. (a) Advance estimate. (p) Preliminary estimate. (r) Revised estimate. |
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| (1) For a full description of the NAICS codes used in this table, see http://www.census.gov/epcd/www/naics.html |
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| (2) Estimates are concurrently adjusted for seasonal variation and for holiday and trading day differences, but not for price changes. Concurrent seasonal adjustment |
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| uses all available unadjusted estimates as input to the X-12 ARIMA program. The factors derived from the program are used in calculating all seasonally |
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| adjusted estimates shown in this table. Year-to-date seasonally adjusted sales estimates are not tabulated. Adjustment factors and explanatory material can be found |
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| on the Internet at http://www.census.gov/mrts/www/mrts.html |
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| (3) Advance estimates are based on early reports obtained from a small sample of firms selected from the larger Monthly Retail Trade Survey (MRTS) sample. |
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| All other estimates are from the MRTS sample. |
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| (4) GAFO represents firms which specialize in department store types of merchandise and is comprised of furniture & home furnishings (442), electronics & appliances (443), |
| clothing & accessories (448), sporting goods, hobby, book, and music (451), general merchandise (452), office supply, stationery, and gift stores (4532). |
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| (5) Estimates include data for leased departments operated within department stores. Data for this line are not included in broader kind-of-business totals. |
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| Note: Table 3 provides estimated measures of sampling variability. Additional information on confidentiality protection, sampling error, nonsampling error, |
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| sample design, and definitions may be found at http://www.census.gov/mrts/www/mrts.html |
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| Source: U.S. Census Bureau |
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| Service Sector Statistics Division |
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| Last Revised: March 12, 2009 |
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Stock Market’s Wild Ride Likely to Continue for Remainder of 2009
Posted by rawfinance on March 9, 2009
For those who enjoy thrill rides, playing the stock market in 2009 is for you. I know that the market feels like it can only go down. After all, the S&P 500 Index is down more than 25 percent since January 1, 2009, let alone the carnage of 2008. But, as any technical analyst can tell you, markets do not behave in such a way as to go from highs to lows and lows to highs (dare to dream) in a straight line.
For instance, the current overall trend is down (as if you had no idea), but there are usually many jumps higher along the way. For investors who enjoy a little (or a lot) of active tactical trading, such jumps are tradeable rallys. So when is the next jump higher coming? Sorry, no one can be sure of the exact day or week when it will begin or how long it will last. But, from a pure technical perspective the market is currently oversold—a condition which may in the near term result in attracting buyers, thus moving the market higher.
Should we get the “bounce” that I and other technical analysts perceive is coming, do not mistake it for a new bull market, or long-term secular move higher. The effects of the economic recession around the world have still not been fully accounted for in corporate earnings. This does not mean that there are no buying opportunities in individual stocks for investors with a moderate- to high-risk profile. Certainly there are, but they are few.
Speaking of the economy and the stock market, Nouriel Roubini, professor of economics at the Stern School of Business of New York University, recently sent out an email summarizing his views. (Note: When you read the portion that he expects the stock market to drop another 40 to 50 percent, please understand that is not from today’s level – he made the comment earlier in the year – instead, look at his predictions for the S&P 500 and the Dow Jones Industrial Average that follow.)
Posted in Economy, Investing, Market Commentary, Stocks | Tagged: Economy, Investing, Market Commentary | Leave a Comment »